R Under development (unstable) (2025-11-21 r89046 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > source('utilities.R') > library(medicalcoder) > > ################################################################################ > # Prep data I want to test the output with out loading or attaching the > # data.table or the tibble namespaces. So, the following commented out code is > # run once, and only run when needed to update the data, so that a data.frame, > # data.table, and tibble are all available. > # > # To keep the disk space use down, use only a subset of the mdcr data set > > ### c1 <- comorbidities(data = mdcr, id.vars = "patid", icd.codes = "code", icdv.var = "icdv", dx.var = "dx", poa = 1, method = "charlson_quan2005") > ### c2 <- comorbidities(data = mdcr, id.vars = "patid", icd.codes = "code", icdv.var = "icdv", dx.var = "dx", poa = 1, primarydx = 0, method = "elixhauser_quan2005") > ### c3 <- comorbidities(data = mdcr, id.vars = "patid", icd.codes = "code", icdv.var = "icdv", dx.var = "dx", poa = 1, method = "pccc_v3.1") > ### > ### set.seed(42) > ### foo <- function(n, size = 100) { > ### if (n <= 2) { > ### x <- > ### intersect( > ### intersect(which(c1$num_cmrb == n), which(c2$num_cmrb == n)), > ### intersect(which(c1$num_cmrb == n), which(c3$num_cmrb == n)) > ### ) > ### } else { > ### x <- > ### intersect( > ### intersect(which(c1$num_cmrb >= n), which(c2$num_cmrb >= n)), > ### intersect(which(c1$num_cmrb >= n), which(c3$num_cmrb >= n)) > ### ) > ### } > ### sample(x, size = min(c(size, length(x)))) > ### } > ### > ### x <- mdcr[mdcr$patid %in% c1[c(foo(0), foo(1), foo(2), foo(3), foo(4)), "patid"], ] > ### > ### saveRDS(x, file = "mdcr_subset_DF.rds", compress = "xz") > ### saveRDS(tibble::as_tibble(x), file = "mdcr_subset_TBL.rds", compress = "xz") > ### data.table::setDT(x) > ### saveRDS(x, file = "mdcr_subset_DT.rds", compress = "xz") > > ################################################################################ > # load the data from disk > mdcrDT <- readRDS(file = "mdcr_subset_DT.rds") > mdcrDF <- readRDS(file = "mdcr_subset_DF.rds") > mdcrTBL <- readRDS(file = "mdcr_subset_TBL.rds") > > ################################################################################ > # apply the comorbidities_methods to the three data sets > common_args <- + list(id.vars = "patid", icdv.var = "icdv", icd.codes = "code", dx.var = "dx", poa = 1) > > DFS <- new.env() > TBLS <- new.env() > DTS <- new.env() > > methods <- medicalcoder:::comorbidities_methods() > > set_results <- function(target_env, method, data, subconditions = FALSE) { + if (startsWith(method, "pccc")) { + v <- do.call(comorbidities, c(common_args, list(data = data, method = method, subconditions = subconditions))) + } else { + v <- do.call(comorbidities, c(common_args, list(data = data, method = method, subconditions = subconditions, primarydx = 0L))) + } + assign( + x = if (subconditions) paste0(method, "_with_subconditions") else method, + value = v, + envir = target_env + ) + } > > for (m in methods) { + set_results(DFS, method = m, data = mdcrDF, subconditions = FALSE) + set_results(DTS, method = m, data = mdcrDT, subconditions = FALSE) + set_results(TBLS, method = m, data = mdcrTBL, subconditions = FALSE) + + if (grepl("pccc", m)) { + set_results(DFS, m, mdcrDF, subconditions = TRUE) + set_results(DTS, m, mdcrDT, subconditions = TRUE) + set_results(TBLS, m, mdcrTBL, subconditions = TRUE) + } + } > > # same objects in each environment > stopifnot( + identical(sort(ls(envir = DFS, all.names = TRUE)), sort(ls(envir = DTS, all.names = TRUE))), + identical(sort(ls(envir = DFS, all.names = TRUE)), sort(ls(envir = TBLS, all.names = TRUE))) + ) > > # All objects should be medicalcoder_comorbidities objects > # only those with the _with_subconditions suffix should be > # medicalcoder_comorbidities_with_subconditions objects > for (obj in ls(envir = DFS, all.names = TRUE)) { + xDF <- DFS[[obj]] + xDT <- DTS[[obj]] + xTBL <- TBLS[[obj]] + + stopifnot(inherits(xDF, "medicalcoder_comorbidities")) + stopifnot(inherits(xDT, "medicalcoder_comorbidities")) + stopifnot(inherits(xTBL, "medicalcoder_comorbidities")) + + sbcnd <- endsWith(obj, "_with_subconditions") + + stopifnot(identical(sbcnd, inherits(get(x = obj, envir = DFS), "medicalcoder_comorbidities_with_subconditions"))) + stopifnot(identical(sbcnd, inherits(get(x = obj, envir = DTS), "medicalcoder_comorbidities_with_subconditions"))) + stopifnot(identical(sbcnd, inherits(get(x = obj, envir = TBLS), "medicalcoder_comorbidities_with_subconditions"))) + } > > # All the results should be identical save the attributes (class). > for (obj in ls(envir = DFS, all.names = TRUE)) { + xDF <- DFS[[obj]] + xTBL <- TBLS[[obj]] + xDT <- DTS[[obj]] + stopifnot(all.equal(xDF, xTBL, check.attributes = FALSE)) + stopifnot(all.equal(xDF, xDT, check.attributes = FALSE)) + } > > # check that the print method returns the input object > for (obj in ls(envir = DFS, all.names = TRUE)) { + x <- print(DFS[[obj]]) + z <- identical(x, DFS[[obj]]) + if (!z) { + stop(sprintf("print(DFS[['%s']]) does not return identical %s", obj, obj)) + } + x <- print(TBLS[[obj]]) + z <- identical(x, TBLS[[obj]]) + if (!z) { + stop(sprintf("print(TBLS[['%s']]) does not return identical %s", obj, obj)) + } + x <- print(DTS[[obj]]) + z <- identical(x, DTS[[obj]]) + if (!z) { + stop(sprintf("print(DTS[['%s']]) does not return identical %s", obj, obj)) + } + } Comorbidities via charlson_cdmf2019 patid aids hiv mal cebvd copd chf dem dmc dm hp mld msld mst mi pud pvd 1 10083 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 11258 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 11 12460 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 12 12512 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 13 13071 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 14 13337 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 13629 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 14005 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 17 14336 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 18 14409 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 14533 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 20 14916 0 0 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0 0 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 10 more variables: mst , mi , pud , pvd , rnd , # rhd , num_cmrb , cmrb_flag , cci , age_score Comorbidities via charlson_quan2005 patid aidshiv mal cebvd copd chf dem dmc dm hp mld msld 1: 10083 0 0 0 1 0 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 0 0 0 0 365: 99169 0 0 0 1 0 0 0 1 0 0 0 366: 99708 0 0 0 0 0 0 0 0 0 0 0 mst mi pud pvd rnd rhd num_cmrb cmrb_flag cci age_score 1: 0 0 0 0 0 0 1 1 1 NA 2: 0 0 0 0 0 0 0 0 0 NA 3: 0 0 0 0 0 0 0 0 0 NA 4: 0 0 0 0 0 0 0 0 0 NA 5: 0 0 0 0 0 0 0 0 0 NA --- 362: 0 0 0 0 0 0 0 0 0 NA 363: 0 0 0 0 0 0 0 0 0 NA 364: 0 0 0 0 0 0 0 0 0 NA 365: 0 0 0 0 0 0 2 1 2 NA 366: 0 0 0 0 0 0 0 0 0 NA Comorbidities via charlson_quan2011 patid aidshiv mal cebvd copd chf dem dmc dm hp mld msld mst mi pud pvd rnd 1 10083 0 0 0 1 0 0 0 0 0 0 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0 0 0 364 0 0 0 0 365 4 1 14 12 366 0 0 0 0 Comorbidities via elixhauser_ahrq2022 # A tibble: 366 × 52 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 44 more variables: CANCER_LYMPH , CANCER_METS , # CANCER_NSITU , CANCER_SOLID , CBVD_POA , CBVD_SQLA , # CBVD_SQLAPARALYSIS , COAG , DEMENTIA , DEPRESS , # DIAB_CX , DIAB_UNCX , DRUG_ABUSE , # DRUG_ABUSEPSYCHOSES , HF , HFHTN_CX , # HFHTN_CXRENLFL_SEV , HTN_CX , HTN_CXRENLFL_SEV , … Comorbidities via elixhauser_ahrq2022 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS 1: 10083 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 CANCER_LEUK CANCER_LYMPH CANCER_METS CANCER_NSITU CANCER_SOLID CBVD_POA 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 CBVD_SQLA CBVD_SQLAPARALYSIS COAG DEMENTIA DEPRESS DIAB_CX DIAB_UNCX 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 1 1 0 366: 0 0 0 0 0 0 0 DRUG_ABUSE DRUG_ABUSEPSYCHOSES HF HFHTN_CX HFHTN_CXRENLFL_SEV HTN_CX 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 HTN_CXRENLFL_SEV HTN_UNCX LIVER_MLD LIVER_SEV LUNG_CHRONIC NEURO_MOVT 1: 0 0 0 0 1 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 1 0 366: 0 0 0 0 0 0 NEURO_OTH NEURO_SEIZ OBESE PARALYSIS PERIVASC PSYCHOSES PULMCIRC 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 1 0 0 0 0 0 0 366: 0 0 0 0 0 0 0 RENLFL_MOD RENLFL_SEV THYROID_HYPO THYROID_OTH ULCER_PEPTIC VALVE 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 VALVE_AUTOIMMUNE WGHTLOSS CBVD num_cmrb cmrb_flag mortality_index 1: 0 0 0 1 1 2 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 4 1 14 366: 0 0 0 0 0 0 readmission_index 1: 4 2: 0 3: 0 4: 0 5: 0 --- 362: 0 363: 0 364: 0 365: 12 366: 0 Comorbidities via elixhauser_ahrq2023 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 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0 # ℹ 356 more rows # ℹ 45 more variables: CANCER_LYMPH , CANCER_METS , # CANCER_NSITU , CANCER_SOLID , CBVD_POA , CBVD_SQLA , # CBVD_SQLAPARALYSIS , COAG , DEMENTIA , DEPRESS , # DIAB_CX , DIAB_UNCX , DRUG_ABUSE , # DRUG_ABUSEPSYCHOSES , HF , HFHTN_CX , # HFHTN_CXRENLFL_SEV , HTN_CX , HTN_CXRENLFL_SEV , … Comorbidities via elixhauser_ahrq2023 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS 1: 10083 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 CANCER_LEUK CANCER_LYMPH CANCER_METS CANCER_NSITU CANCER_SOLID CBVD_POA 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 CBVD_SQLA CBVD_SQLAPARALYSIS COAG DEMENTIA DEPRESS DIAB_CX DIAB_UNCX 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 1 1 0 366: 0 0 0 0 0 0 0 DRUG_ABUSE DRUG_ABUSEPSYCHOSES HF HFHTN_CX HFHTN_CXRENLFL_SEV HTN_CX 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 HTN_CXRENLFL_SEV HTN_UNCX LIVER_MLD LIVER_MLD_NEURO LIVER_SEV LUNG_CHRONIC 1: 0 0 0 0 0 1 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 1 366: 0 0 0 0 0 0 NEURO_MOVT NEURO_OTH NEURO_SEIZ OBESE PARALYSIS PERIVASC PSYCHOSES 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 0 0 0 0 366: 0 0 0 0 0 0 0 PULMCIRC RENLFL_MOD RENLFL_SEV THYROID_HYPO THYROID_OTH ULCER_PEPTIC VALVE 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 0 0 0 366: 0 0 0 0 0 0 0 VALVE_AUTOIMMUNE WGHTLOSS CBVD num_cmrb cmrb_flag mortality_index 1: 0 0 0 1 1 2 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 4 1 14 366: 0 0 0 0 0 0 readmission_index 1: 4 2: 0 3: 0 4: 0 5: 0 --- 362: 0 363: 0 364: 0 365: 12 366: 0 Comorbidities via elixhauser_ahrq2024 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 11 12460 0 0 0 0 0 0 0 12 12512 0 0 0 0 0 0 0 13 13071 0 0 0 0 0 0 0 14 13337 0 0 0 0 0 0 0 15 13629 0 0 0 0 0 0 0 16 14005 0 0 0 0 0 0 0 17 14336 0 0 0 0 0 0 0 18 14409 0 0 0 0 0 0 0 19 14533 0 0 0 0 0 0 0 20 14916 0 0 0 0 0 0 0 21 15092 0 0 0 0 0 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349 0 0 0 0 0 0 350 0 0 0 0 0 0 351 0 0 1 1 4 3 352 0 0 0 0 0 0 353 0 0 0 0 0 0 354 0 0 0 0 0 0 355 0 0 2 1 14 10 356 0 0 0 0 0 0 357 0 0 0 0 0 0 358 0 0 0 0 0 0 359 0 0 0 0 0 0 360 0 0 0 0 0 0 361 0 0 0 0 0 0 362 0 0 0 0 0 0 363 0 0 0 0 0 0 364 0 0 0 0 0 0 365 0 0 4 1 14 12 366 0 0 0 0 0 0 Comorbidities via elixhauser_ahrq2024 # A tibble: 366 × 53 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 45 more variables: CANCER_LYMPH , CANCER_METS , # CANCER_NSITU , CANCER_SOLID , CBVD_POA , CBVD_SQLA , # CBVD_SQLAPARALYSIS , COAG , DEMENTIA , DEPRESS , # DIAB_CX , DIAB_UNCX , DRUG_ABUSE , # DRUG_ABUSEPSYCHOSES , HF , HFHTN_CX , # HFHTN_CXRENLFL_SEV , HTN_CX , HTN_CXRENLFL_SEV , … Comorbidities via elixhauser_ahrq2024 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS 1: 10083 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 CANCER_LEUK CANCER_LYMPH CANCER_METS CANCER_NSITU CANCER_SOLID CBVD_POA 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 CBVD_SQLA CBVD_SQLAPARALYSIS COAG DEMENTIA DEPRESS DIAB_CX DIAB_UNCX 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 1 1 0 366: 0 0 0 0 0 0 0 DRUG_ABUSE DRUG_ABUSEPSYCHOSES HF HFHTN_CX HFHTN_CXRENLFL_SEV HTN_CX 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 HTN_CXRENLFL_SEV HTN_UNCX LIVER_MLD LIVER_MLD_NEURO LIVER_SEV LUNG_CHRONIC 1: 0 0 0 0 0 1 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 1 366: 0 0 0 0 0 0 NEURO_MOVT NEURO_OTH NEURO_SEIZ OBESE PARALYSIS PERIVASC PSYCHOSES 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 0 0 0 0 366: 0 0 0 0 0 0 0 PULMCIRC RENLFL_MOD RENLFL_SEV THYROID_HYPO THYROID_OTH ULCER_PEPTIC VALVE 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 0 0 0 366: 0 0 0 0 0 0 0 VALVE_AUTOIMMUNE WGHTLOSS CBVD num_cmrb cmrb_flag mortality_index 1: 0 0 0 1 1 2 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 4 1 14 366: 0 0 0 0 0 0 readmission_index 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0 27 0 28 0 29 0 30 17 31 0 32 0 33 0 34 19 35 0 36 27 37 22 38 25 39 13 40 7 41 0 42 0 43 0 44 0 45 0 46 14 47 0 48 0 49 0 50 0 51 14 52 13 53 0 54 18 55 0 56 0 57 11 58 0 59 0 60 10 61 0 62 0 63 0 64 0 65 0 66 0 67 0 68 19 69 0 70 0 71 4 72 0 73 0 74 0 75 3 76 3 77 0 78 0 79 0 80 8 81 11 82 13 83 8 84 10 85 0 86 7 87 16 88 0 89 0 90 13 91 0 92 23 93 9 94 0 95 7 96 0 97 0 98 0 99 0 100 0 101 5 102 0 103 0 104 28 105 0 106 0 107 0 108 0 109 0 110 0 111 0 112 0 113 7 114 10 115 13 116 0 117 33 118 15 119 4 120 0 121 12 122 11 123 7 124 0 125 0 126 17 127 0 128 12 129 7 130 0 131 14 132 7 133 0 134 0 135 0 136 7 137 27 138 0 139 0 140 0 141 7 142 11 143 14 144 0 145 15 146 0 147 0 148 0 149 0 150 0 151 0 152 0 153 23 154 11 155 0 156 0 157 0 158 0 159 0 160 0 161 0 162 0 163 17 164 0 165 0 166 0 167 0 168 0 169 0 170 4 171 0 172 0 173 0 174 0 175 0 176 4 177 4 178 0 179 11 180 0 181 0 182 0 183 0 184 11 185 33 186 0 187 0 188 4 189 17 190 0 191 10 192 0 193 0 194 0 195 0 196 14 197 30 198 0 199 0 200 0 201 0 202 0 203 15 204 11 205 0 206 0 207 0 208 0 209 0 210 0 211 4 212 7 213 0 214 12 215 0 216 0 217 0 218 13 219 0 220 17 221 0 222 0 223 35 224 4 225 0 226 6 227 0 228 0 229 0 230 0 231 0 232 0 233 0 234 0 235 0 236 0 237 0 238 11 239 15 240 14 241 0 242 0 243 0 244 0 245 17 246 7 247 0 248 0 249 0 250 0 251 15 252 3 253 0 254 0 255 0 256 0 257 16 258 0 259 0 260 4 261 0 262 0 263 21 264 17 265 0 266 0 267 0 268 16 269 0 270 0 271 0 272 7 273 0 274 0 275 10 276 0 277 0 278 0 279 0 280 15 281 12 282 0 283 0 284 22 285 4 286 0 287 0 288 7 289 0 290 17 291 0 292 0 293 0 294 11 295 0 296 6 297 0 298 0 299 0 300 0 301 10 302 0 303 0 304 0 305 0 306 0 307 0 308 0 309 0 310 10 311 0 312 0 313 0 314 16 315 0 316 0 317 0 318 0 319 0 320 9 321 0 322 0 323 0 324 0 325 0 326 17 327 0 328 0 329 0 330 4 331 0 332 0 333 27 334 0 335 0 336 0 337 0 338 0 339 0 340 2 341 15 342 0 343 0 344 0 345 0 346 0 347 0 348 0 349 0 350 0 351 3 352 0 353 0 354 0 355 10 356 0 357 0 358 0 359 0 360 0 361 0 362 0 363 0 364 0 365 12 366 0 Comorbidities via elixhauser_ahrq2025 # A tibble: 366 × 54 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 46 more variables: CANCER_LYMPH , CANCER_METS , # CANCER_NSITU , CANCER_SOLID , CBVD_POA , CBVD_SQLA , # CBVD_SQLAPARALYSIS , COAG , DEMENTIA , DEPRESS , # DIAB_CX , DIAB_UNCX , DRUG_ABUSE , # DRUG_ABUSEPSYCHOSES , HF , HFHTN_CX , # HFHTN_CXRENLFL_SEV , HTN_CX , HTN_CXRENLFL_SEV , … Comorbidities via elixhauser_ahrq2025 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS 1: 10083 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 CANCER_LEUK CANCER_LYMPH CANCER_METS CANCER_NSITU CANCER_SOLID CBVD_POA 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 CBVD_SQLA CBVD_SQLAPARALYSIS COAG DEMENTIA DEPRESS DIAB_CX DIAB_UNCX 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 1 1 0 366: 0 0 0 0 0 0 0 DRUG_ABUSE DRUG_ABUSEPSYCHOSES HF HFHTN_CX HFHTN_CXRENLFL_SEV HTN_CX 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 HTN_CXRENLFL_SEV HTN_UNCX LIVER_MLD LIVER_MLD_NEURO LIVER_SEV LUNG_CHRONIC 1: 0 0 0 0 0 1 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 1 366: 0 0 0 0 0 0 NEURO_MOVT NEURO_OTH NEURO_OTH_SEIZ NEURO_SEIZ OBESE PARALYSIS PERIVASC 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 0 0 0 0 366: 0 0 0 0 0 0 0 PSYCHOSES PULMCIRC RENLFL_MOD RENLFL_SEV THYROID_HYPO THYROID_OTH 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 ULCER_PEPTIC VALVE VALVE_AUTOIMMUNE WGHTLOSS CBVD num_cmrb cmrb_flag 1: 0 0 0 0 0 1 1 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 0 4 1 366: 0 0 0 0 0 0 0 mortality_index readmission_index 1: 2 4 2: 0 0 3: 0 0 4: 0 0 5: 0 0 --- 362: 0 0 363: 0 0 364: 0 0 365: 14 12 366: 0 0 Comorbidities via elixhauser_ahrq_icd10 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS CANCER_LEUK 1 10083 0 0 0 0 0 0 0 2 10095 0 0 0 0 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0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 8 11555 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 46 more variables: CANCER_LYMPH , CANCER_METS , # CANCER_NSITU , CANCER_SOLID , CBVD_POA , CBVD_SQLA , # CBVD_SQLAPARALYSIS , COAG , DEMENTIA , DEPRESS , # DIAB_CX , DIAB_UNCX , DRUG_ABUSE , # DRUG_ABUSEPSYCHOSES , HF , HFHTN_CX , # HFHTN_CXRENLFL_SEV , HTN_CX , HTN_CXRENLFL_SEV , … Comorbidities via elixhauser_ahrq_icd10 patid AIDS ALCOHOL ALCOHOLLIVER_MLD ANEMDEF AUTOIMMUNE BLDLOSS 1: 10083 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 CANCER_LEUK CANCER_LYMPH CANCER_METS CANCER_NSITU CANCER_SOLID CBVD_POA 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 CBVD_SQLA CBVD_SQLAPARALYSIS COAG DEMENTIA DEPRESS DIAB_CX DIAB_UNCX 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 1 1 0 366: 0 0 0 0 0 0 0 DRUG_ABUSE DRUG_ABUSEPSYCHOSES HF HFHTN_CX HFHTN_CXRENLFL_SEV HTN_CX 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 HTN_CXRENLFL_SEV HTN_UNCX LIVER_MLD LIVER_MLD_NEURO LIVER_SEV LUNG_CHRONIC 1: 0 0 0 0 0 1 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 1 366: 0 0 0 0 0 0 NEURO_MOVT NEURO_OTH NEURO_OTH_SEIZ NEURO_SEIZ OBESE PARALYSIS PERIVASC 1: 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 0 0 0 0 366: 0 0 0 0 0 0 0 PSYCHOSES PULMCIRC RENLFL_MOD RENLFL_SEV THYROID_HYPO THYROID_OTH 1: 0 0 0 0 0 0 2: 0 0 0 0 0 0 3: 0 0 0 0 0 0 4: 0 0 0 0 0 0 5: 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 363: 0 0 0 0 0 0 364: 0 0 0 0 0 0 365: 0 0 0 0 0 0 366: 0 0 0 0 0 0 ULCER_PEPTIC VALVE VALVE_AUTOIMMUNE WGHTLOSS CBVD num_cmrb cmrb_flag 1: 0 0 0 0 0 1 1 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 0 4 1 366: 0 0 0 0 0 0 0 mortality_index readmission_index 1: 2 4 2: 0 0 3: 0 0 4: 0 0 5: 0 0 --- 362: 0 0 363: 0 0 364: 0 0 365: 14 12 366: 0 0 Comorbidities via elixhauser_ahrq_web patid AIDS LIVER VALVE TUMOR METS LYMPH HYPOTHY DM DMCX WGHTLOSS LYTES 1 10083 0 0 0 0 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 0 0 0 0 8 11555 0 1 0 0 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 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0 332 0 0 0 333 0 0 0 334 0 0 0 335 1 7 13 336 1 7 15 337 0 0 0 338 0 0 0 339 0 0 0 340 0 0 0 341 0 0 0 342 1 8 14 343 0 0 0 344 0 0 0 345 1 3 8 346 1 23 47 347 1 17 34 348 1 10 13 349 1 11 27 350 0 0 0 351 0 0 0 352 0 0 0 353 1 3 8 354 1 9 23 355 0 0 0 356 1 8 14 357 1 18 34 358 1 10 21 359 1 5 6 360 1 13 21 361 1 7 15 362 0 0 0 363 0 0 0 364 0 0 0 365 0 0 0 366 0 0 0 Comorbidities via elixhauser_ahrq_web # A tibble: 366 × 36 patid AIDS LIVER VALVE TUMOR METS LYMPH HYPOTHY DM DMCX WGHTLOSS LYTES 1 10083 0 0 0 0 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 0 0 0 0 8 11555 0 1 0 0 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 24 more variables: OBESE , BLDLOSS , ANEMDEF , COAG , # ALCOHOL , DRUG , PSYCH , DEPRESS , NEURO , # PARA , CHF , HTN_CX , HTN_UNCX , RENLFAIL , # PULMCIRC , PERIVASC , CHRNLUNG , ULCER , ARTH , # HTN_C , num_cmrb , cmrb_flag , mortality_index , # readmission_index Comorbidities via elixhauser_ahrq_web patid AIDS LIVER VALVE TUMOR METS LYMPH HYPOTHY DM DMCX WGHTLOSS 1: 10083 0 0 0 0 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 0 0 0 0 LYTES OBESE BLDLOSS ANEMDEF COAG ALCOHOL DRUG PSYCH DEPRESS NEURO PARA 1: 0 0 0 0 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 0 0 0 0 365: 0 0 0 0 0 0 0 0 0 0 0 366: 0 0 0 0 0 0 0 0 0 0 0 CHF HTN_CX HTN_UNCX RENLFAIL PULMCIRC PERIVASC CHRNLUNG ULCER ARTH 1: 0 0 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 0 0 5: 0 0 0 0 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10095 0 0 0 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 0 0 0 0 8 11555 0 1 0 0 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 25 more variables: OBESE , BLDLOSS , ANEMDEF , COAG , # ALCOHOL , DRUG , PSYCH , DEPRESS , NEURO , # PARA , CHF , HTN_UNCX , HTN_CX , RENLFAIL , # PULMCIRC , CARDIAC_ARRHYTHMIAS , PERIVASC , CHRNLUNG , # ULCER , ARTH , HTN_C , num_cmrb , cmrb_flag , # mortality_index , readmission_index Comorbidities via elixhauser_elixhauser1988 patid AIDS LIVER VALVE TUMOR METS LYMPH HYPOTHY DM DMCX WGHTLOSS 1: 10083 0 0 0 0 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 0 0 0 0 LYTES 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0 4 1 16 47 334 0 0 0 0 0 0 335 0 1 3 1 7 13 336 0 0 1 1 7 15 337 0 0 0 0 0 0 338 0 0 0 0 0 0 339 0 0 0 0 0 0 340 0 0 1 1 0 4 341 0 0 3 1 13 29 342 0 0 2 1 8 14 343 0 0 0 0 0 0 344 0 0 0 0 0 0 345 0 0 1 1 3 8 346 0 1 8 1 30 65 347 0 0 6 1 28 42 348 0 0 1 1 5 6 349 0 0 4 1 20 40 350 0 0 0 0 0 0 351 0 0 1 1 5 6 352 0 0 0 0 0 0 353 0 0 1 1 3 8 354 0 0 2 1 9 23 355 0 0 2 1 12 21 356 0 0 2 1 8 14 357 0 1 4 1 18 34 358 0 0 4 1 19 34 359 0 0 1 1 5 6 360 0 0 3 1 13 21 361 0 0 1 1 7 15 362 0 0 0 0 0 0 363 0 0 0 0 0 0 364 0 0 0 0 0 0 365 0 0 3 1 -5 21 366 0 0 0 0 0 0 Comorbidities via elixhauser_quan2005 # A tibble: 366 × 37 patid AIDS LIVER PERIVASC VALVE TUMOR METS LYMPH HYPOTHY DM DMCX LYTES 1 10083 0 0 0 0 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 0 0 0 0 0 0 7 11258 0 0 0 0 0 0 0 0 0 0 0 8 11555 0 1 0 0 0 0 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 25 more variables: WGHTLOSS , ALCOHOL , OBESE , # BLDLOSS , ANEMDEF , COAG , DRUG , PSYCH , # DEPRESS , NEURO , PARA , CHF , HTN_UNCX , # HTN_CX , RENLFAIL , PULMCIRC , CHRNLUNG , # CARDIAC_ARRHYTHMIAS , ARTH , ULCER , HTN_C , # num_cmrb , cmrb_flag , mortality_index , … Comorbidities via elixhauser_quan2005 patid AIDS LIVER PERIVASC VALVE TUMOR METS LYMPH HYPOTHY DM DMCX 1: 10083 0 0 0 0 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 0 0 0 1 366: 99708 0 0 0 0 0 0 0 0 0 0 LYTES WGHTLOSS ALCOHOL OBESE BLDLOSS ANEMDEF COAG DRUG PSYCH DEPRESS 1: 0 0 0 0 0 0 0 0 0 0 2: 0 0 0 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 0 0 0 365: 0 0 0 0 0 0 0 0 0 1 366: 0 0 0 0 0 0 0 0 0 0 NEURO PARA CHF HTN_UNCX HTN_CX RENLFAIL PULMCIRC CHRNLUNG 1: 0 0 0 0 0 0 0 1 2: 0 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 0 365: 0 0 0 0 0 0 0 1 366: 0 0 0 0 0 0 0 0 CARDIAC_ARRHYTHMIAS ARTH ULCER HTN_C num_cmrb cmrb_flag mortality_index 1: 0 0 0 0 1 1 3 2: 0 0 0 0 0 0 0 3: 0 0 0 0 0 0 0 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 0 0 0 0 0 0 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 0 0 0 3 1 -5 366: 0 0 0 0 0 0 0 readmission_index 1: 8 2: 0 3: 0 4: 0 5: 0 --- 362: 0 363: 0 364: 0 365: 21 366: 0 Comorbidities via pccc_v2.0 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc neonatal 1 10083 1 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 1 1 0 7 11258 1 0 0 0 0 0 0 0 8 11555 0 0 1 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 11 12460 0 0 0 0 0 0 1 0 12 12512 0 0 0 0 0 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329 0 0 0 0 0 0 0 330 0 1 0 0 0 1 1 331 0 0 0 0 0 1 1 332 0 0 0 0 0 0 0 333 0 1 0 1 0 4 1 334 0 0 0 0 0 0 0 335 1 0 0 0 0 2 1 336 0 0 0 0 0 1 1 337 0 0 0 0 0 0 0 338 0 0 0 0 0 0 0 339 0 0 0 0 0 0 0 340 0 0 0 0 0 0 0 341 0 1 0 1 0 3 1 342 1 0 0 0 0 2 1 343 0 0 0 0 0 0 0 344 0 0 0 0 0 0 0 345 0 0 1 0 0 1 1 346 0 0 0 0 1 3 1 347 1 0 1 1 0 4 1 348 1 0 0 1 0 1 1 349 1 1 0 1 0 5 1 350 0 0 0 0 0 0 0 351 1 0 0 0 0 1 1 352 0 0 0 0 0 0 0 353 0 0 0 0 0 1 1 354 0 1 0 1 1 2 1 355 0 0 0 0 0 1 1 356 1 0 0 1 0 2 1 357 0 0 0 1 1 3 1 358 0 0 0 0 0 3 1 359 1 0 0 0 0 1 1 360 1 0 1 1 0 4 1 361 0 0 0 0 0 1 1 362 1 0 0 1 0 1 1 363 0 0 0 0 0 0 0 364 0 0 0 0 0 0 0 365 1 0 1 0 0 2 1 366 0 0 0 0 0 0 0 Comorbidities via pccc_v2.0 # A tibble: 366 × 16 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc 1 10083 1 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 1 1 7 11258 1 0 0 0 0 0 0 8 11555 0 0 1 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 8 more variables: neonatal , neuromusc , renal , # respiratory , any_tech_dep , any_transplant , # num_cmrb , cmrb_flag Comorbidities via pccc_v2.0 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc 1: 10083 1 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 0 neonatal neuromusc renal respiratory any_tech_dep any_transplant num_cmrb 1: 0 0 0 0 0 0 1 2: 0 0 0 0 0 0 0 3: 0 0 1 0 1 0 1 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 1 0 0 1 0 1 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 1 0 0 2 366: 0 0 0 0 0 0 0 cmrb_flag 1: 1 2: 0 3: 1 4: 0 5: 0 --- 362: 1 363: 0 364: 0 365: 1 366: 0 Comorbidities and Subconditions via pccc_v2.0 List of 2 $ conditions :'data.frame': 366 obs. of 16 variables: $ subconditions:List of 11 ..$ congeni_genetic:'data.frame': 23 obs. of 5 variables: ..$ cvd :'data.frame': 56 obs. of 9 variables: ..$ gi :'data.frame': 75 obs. of 7 variables: ..$ hemato_immu :'data.frame': 46 obs. of 13 variables: ..$ malignancy :'data.frame': 116 obs. of 3 variables: ..$ metabolic :'data.frame': 43 obs. of 8 variables: ..$ misc :'data.frame': 14 obs. of 3 variables: ..$ neonatal :'data.frame': 5 obs. of 9 variables: ..$ neuromusc :'data.frame': 72 obs. of 11 variables: ..$ renal :'data.frame': 55 obs. of 7 variables: ..$ respiratory :'data.frame': 27 obs. of 7 variables: Comorbidities and Subconditions via pccc_v2.0 List of 2 $ conditions : tibble [366 × 16] (S3: tbl_df/tbl/data.frame) $ subconditions:List of 11 ..$ congeni_genetic: tibble [23 × 5] (S3: tbl_df/tbl/data.frame) ..$ cvd : tibble [56 × 9] (S3: tbl_df/tbl/data.frame) ..$ gi : tibble [75 × 7] (S3: tbl_df/tbl/data.frame) ..$ hemato_immu : tibble [46 × 13] (S3: tbl_df/tbl/data.frame) ..$ malignancy : tibble [116 × 3] (S3: tbl_df/tbl/data.frame) ..$ metabolic : tibble [43 × 8] (S3: tbl_df/tbl/data.frame) ..$ misc : tibble [14 × 3] (S3: tbl_df/tbl/data.frame) ..$ neonatal : tibble [5 × 9] (S3: tbl_df/tbl/data.frame) ..$ neuromusc : tibble [72 × 11] (S3: tbl_df/tbl/data.frame) ..$ renal : tibble [55 × 7] (S3: tbl_df/tbl/data.frame) ..$ respiratory : tibble [27 × 7] (S3: tbl_df/tbl/data.frame) Comorbidities and Subconditions via pccc_v2.0 List of 2 $ conditions :Classes 'data.table' and 'data.frame': 366 obs. of 16 variables: $ subconditions:List of 11 ..$ congeni_genetic:Classes 'data.table' and 'data.frame': 23 obs. of 5 variables: ..$ cvd :Classes 'data.table' and 'data.frame': 56 obs. of 9 variables: ..$ gi :Classes 'data.table' and 'data.frame': 75 obs. of 7 variables: ..$ hemato_immu :Classes 'data.table' and 'data.frame': 46 obs. of 13 variables: ..$ malignancy :Classes 'data.table' and 'data.frame': 116 obs. of 3 variables: ..$ metabolic :Classes 'data.table' and 'data.frame': 43 obs. of 8 variables: ..$ misc :Classes 'data.table' and 'data.frame': 14 obs. of 3 variables: ..$ neonatal :Classes 'data.table' and 'data.frame': 5 obs. of 9 variables: ..$ neuromusc :Classes 'data.table' and 'data.frame': 72 obs. of 11 variables: ..$ renal :Classes 'data.table' and 'data.frame': 55 obs. of 7 variables: ..$ respiratory :Classes 'data.table' and 'data.frame': 27 obs. of 7 variables: Comorbidities via pccc_v2.1 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc neonatal 1 10083 1 0 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 1 0 0 7 11258 1 0 0 0 0 0 0 0 8 11555 0 0 1 0 0 0 0 0 9 11702 0 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 0 11 12460 0 0 0 0 0 0 1 0 12 12512 0 0 0 0 0 0 0 0 13 13071 0 0 1 0 0 1 1 0 14 13337 0 0 0 0 0 0 0 0 15 13629 0 0 0 0 0 0 0 0 16 14005 0 0 1 0 0 0 0 0 17 14336 0 1 0 0 1 1 0 0 18 14409 0 0 0 0 0 0 0 0 19 14533 0 0 1 0 0 0 0 0 20 14916 0 0 1 0 0 0 0 0 21 15092 0 0 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1 0 2 1 286 0 0 0 0 0 0 0 287 0 0 0 0 0 0 0 288 0 0 0 0 0 1 1 289 0 0 0 0 0 0 0 290 0 0 0 0 0 2 1 291 0 0 0 0 0 0 0 292 0 0 0 0 0 1 1 293 0 0 0 0 0 0 0 294 0 0 0 0 0 2 1 295 0 0 0 0 0 0 0 296 0 1 0 0 0 4 1 297 1 0 1 1 0 3 1 298 0 0 0 0 0 1 1 299 0 0 0 0 0 0 0 300 0 0 0 0 0 1 1 301 1 0 0 1 0 2 1 302 0 0 0 0 1 2 1 303 1 0 0 1 0 2 1 304 0 0 0 0 0 0 0 305 0 0 0 0 0 2 1 306 0 0 0 0 0 0 0 307 1 0 0 1 0 4 1 308 0 0 0 0 0 0 0 309 0 0 0 0 0 2 1 310 0 0 1 0 0 3 1 311 0 0 0 0 0 2 1 312 0 0 0 0 0 0 0 313 0 1 0 0 0 2 1 314 0 0 1 0 0 2 1 315 0 1 0 0 1 2 1 316 1 0 0 0 0 1 1 317 0 0 0 0 0 0 0 318 0 0 0 0 0 0 0 319 0 0 0 1 1 2 1 320 1 0 0 1 0 3 1 321 0 0 0 0 0 1 1 322 0 0 1 0 0 2 1 323 0 0 0 0 0 0 0 324 1 0 0 0 0 3 1 325 0 1 0 1 0 2 1 326 0 1 0 1 1 3 1 327 1 0 0 0 0 1 1 328 0 0 0 0 0 1 1 329 0 0 0 0 0 0 0 330 0 1 0 0 0 1 1 331 0 0 0 0 0 1 1 332 0 0 0 0 0 0 0 333 0 1 0 1 0 4 1 334 0 0 0 0 0 0 0 335 1 0 0 0 0 2 1 336 0 0 0 0 0 1 1 337 0 0 0 0 0 0 0 338 0 0 0 0 0 0 0 339 0 0 0 0 0 0 0 340 0 0 0 0 0 0 0 341 0 1 0 1 0 3 1 342 1 0 0 0 0 2 1 343 0 0 0 0 0 0 0 344 0 0 0 0 0 0 0 345 0 0 1 0 0 1 1 346 0 0 0 0 1 3 1 347 1 0 1 1 0 4 1 348 1 0 0 1 0 1 1 349 1 1 0 1 0 5 1 350 0 0 0 0 0 0 0 351 1 0 0 0 0 1 1 352 0 0 0 0 0 0 0 353 0 0 0 0 0 1 1 354 0 1 0 1 1 2 1 355 0 0 0 0 0 1 1 356 1 0 0 1 0 2 1 357 0 0 0 1 1 3 1 358 0 0 0 0 0 3 1 359 1 0 0 0 0 1 1 360 1 0 1 1 0 4 1 361 0 0 0 0 0 1 1 362 1 0 0 1 0 1 1 363 0 0 0 0 0 0 0 364 0 0 0 0 0 0 0 365 1 0 1 0 0 2 1 366 0 0 0 0 0 0 0 Comorbidities via pccc_v2.1 # A tibble: 366 × 16 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc 1 10083 1 0 0 0 0 0 0 2 10095 0 0 0 0 0 0 0 3 10566 0 0 0 0 0 0 0 4 10608 0 0 0 0 0 0 0 5 10630 0 0 0 0 0 0 0 6 10868 0 0 0 0 0 1 0 7 11258 1 0 0 0 0 0 0 8 11555 0 0 1 0 0 0 0 9 11702 0 0 0 0 0 0 0 10 12395 0 0 0 0 0 0 0 # ℹ 356 more rows # ℹ 8 more variables: neonatal , neuromusc , renal , # respiratory , any_tech_dep , any_transplant , # num_cmrb , cmrb_flag Comorbidities via pccc_v2.1 patid congeni_genetic cvd gi hemato_immu malignancy metabolic misc 1: 10083 1 0 0 0 0 0 0 2: 10095 0 0 0 0 0 0 0 3: 10566 0 0 0 0 0 0 0 4: 10608 0 0 0 0 0 0 0 5: 10630 0 0 0 0 0 0 0 --- 362: 98515 0 0 0 0 0 0 0 363: 98654 0 0 0 0 0 0 0 364: 98816 0 0 0 0 0 0 0 365: 99169 0 0 0 0 0 0 0 366: 99708 0 0 0 0 0 0 0 neonatal neuromusc renal respiratory any_tech_dep any_transplant num_cmrb 1: 0 0 0 0 0 0 1 2: 0 0 0 0 0 0 0 3: 0 0 1 0 1 0 1 4: 0 0 0 0 0 0 0 5: 0 0 0 0 0 0 0 --- 362: 0 1 0 0 1 0 1 363: 0 0 0 0 0 0 0 364: 0 0 0 0 0 0 0 365: 0 1 0 1 0 0 2 366: 0 0 0 0 0 0 0 cmrb_flag 1: 1 2: 0 3: 1 4: 0 5: 0 --- 362: 1 363: 0 364: 0 365: 1 366: 0 Comorbidities and Subconditions via pccc_v2.1 List of 2 $ conditions :'data.frame': 366 obs. of 16 variables: $ subconditions:List of 11 ..$ congeni_genetic:'data.frame': 23 obs. of 5 variables: ..$ cvd :'data.frame': 56 obs. of 9 variables: ..$ gi :'data.frame': 77 obs. of 7 variables: ..$ hemato_immu :'data.frame': 48 obs. of 13 variables: ..$ malignancy :'data.frame': 116 obs. of 3 variables: ..$ metabolic :'data.frame': 43 obs. of 8 variables: ..$ misc :'data.frame': 13 obs. of 3 variables: ..$ neonatal :'data.frame': 5 obs. of 9 variables: ..$ neuromusc :'data.frame': 74 obs. of 11 variables: ..$ renal :'data.frame': 55 obs. of 7 variables: ..$ respiratory :'data.frame': 27 obs. of 7 variables: Comorbidities and Subconditions via pccc_v2.1 List of 2 $ conditions : tibble [366 × 16] (S3: tbl_df/tbl/data.frame) $ subconditions:List of 11 ..$ congeni_genetic: tibble [23 × 5] (S3: tbl_df/tbl/data.frame) ..$ cvd : tibble [56 × 9] (S3: tbl_df/tbl/data.frame) ..$ gi : tibble [77 × 7] (S3: tbl_df/tbl/data.frame) ..$ hemato_immu : tibble [48 × 13] (S3: tbl_df/tbl/data.frame) ..$ malignancy : tibble [116 × 3] (S3: tbl_df/tbl/data.frame) ..$ metabolic : tibble [43 × 8] (S3: tbl_df/tbl/data.frame) ..$ misc : tibble [13 × 3] (S3: tbl_df/tbl/data.frame) ..$ neonatal : tibble [5 × 9] (S3: tbl_df/tbl/data.frame) ..$ neuromusc : tibble [74 × 11] (S3: tbl_df/tbl/data.frame) ..$ renal : tibble [55 × 7] (S3: tbl_df/tbl/data.frame) ..$ respiratory : tibble [27 × 7] (S3: tbl_df/tbl/data.frame) Comorbidities and Subconditions via pccc_v2.1 List of 2 $ conditions :Classes 'data.table' and 'data.frame': 366 obs. of 16 variables: $ subconditions:List of 11 ..$ congeni_genetic:Classes 'data.table' and 'data.frame': 23 obs. of 5 variables: ..$ cvd :Classes 'data.table' and 'data.frame': 56 obs. of 9 variables: ..$ gi :Classes 'data.table' and 'data.frame': 77 obs. of 7 variables: ..$ hemato_immu :Classes 'data.table' and 'data.frame': 48 obs. of 13 variables: ..$ malignancy :Classes 'data.table' and 'data.frame': 116 obs. of 3 variables: ..$ metabolic :Classes 'data.table' and 'data.frame': 43 obs. of 8 variables: ..$ misc :Classes 'data.table' and 'data.frame': 13 obs. of 3 variables: ..$ neonatal :Classes 'data.table' and 'data.frame': 5 obs. of 9 variables: ..$ neuromusc :Classes 'data.table' and 'data.frame': 74 obs. of 11 variables: ..$ renal :Classes 'data.table' and 'data.frame': 55 obs. of 7 variables: ..$ respiratory :Classes 'data.table' and 'data.frame': 27 obs. of 7 variables: Comorbidities via pccc_v3.0 patid congeni_genetic_dxpr_only congeni_genetic_tech_only 1 10083 1 0 2 10095 0 0 3 10566 0 0 4 10608 0 0 5 10630 0 0 6 10868 0 0 7 11258 0 0 8 11555 0 0 9 11702 0 0 10 12395 0 0 11 12460 0 0 12 12512 0 0 13 13071 0 0 14 13337 0 0 15 13629 0 0 16 14005 0 0 17 14336 0 0 18 14409 0 0 19 14533 0 0 20 14916 0 0 21 15092 0 0 22 15260 0 0 23 16104 0 0 24 16336 0 0 25 16541 0 0 26 16618 0 0 27 16814 0 0 28 16933 0 0 29 17419 0 0 30 18322 0 0 31 18826 0 0 32 19051 0 0 33 19189 0 0 34 19725 0 0 35 19775 0 0 36 20245 0 0 37 20365 0 0 38 20514 0 0 39 20525 0 0 40 20531 0 0 41 21098 0 0 42 21409 0 0 43 21713 0 0 44 21913 1 0 45 22035 0 0 46 22163 0 0 47 22522 0 0 48 23003 0 0 49 23127 0 0 50 23149 0 0 51 23340 0 0 52 23658 0 0 53 23815 0 0 54 24362 1 0 55 25615 0 0 56 25868 0 0 57 25982 0 0 58 26022 0 0 59 26056 0 0 60 26210 0 0 61 26437 0 0 62 26494 0 0 63 26519 0 0 64 26529 0 0 65 26666 0 0 66 27270 0 0 67 27309 0 0 68 27564 0 0 69 27677 0 0 70 27702 0 0 71 27846 0 0 72 28003 0 0 73 28537 0 0 74 28697 0 0 75 28729 0 0 76 29024 0 0 77 29653 0 0 78 29935 0 0 79 29953 0 0 80 30077 0 0 81 30484 0 0 82 30669 0 0 83 30737 0 0 84 30845 0 0 85 31003 0 0 86 31396 0 0 87 31703 0 0 88 31713 0 0 89 32072 0 0 90 32194 0 0 91 32656 0 0 92 33539 0 0 93 34732 0 0 94 35226 0 0 95 35552 0 0 96 36507 0 0 97 37100 0 0 98 37106 0 0 99 37396 0 0 100 37545 0 0 101 37711 1 0 102 37835 0 0 103 38031 0 0 104 38313 0 0 105 38526 0 0 106 38863 0 0 107 39100 1 0 108 39413 0 0 109 39852 0 0 110 40128 0 0 111 40385 1 0 112 40843 0 0 113 41572 0 0 114 41666 0 0 115 41707 0 0 116 41996 0 0 117 42385 0 0 118 42566 0 0 119 42722 0 0 120 43058 1 0 121 43070 0 0 122 43200 0 0 123 43208 0 0 124 43385 0 0 125 43476 0 0 126 43870 0 0 127 43890 0 0 128 44533 0 0 129 44541 0 0 130 44740 1 0 131 45018 0 0 132 45270 0 0 133 45330 0 0 134 45465 0 0 135 45826 0 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0 0 279 78403 0 0 280 78598 0 0 281 78648 0 0 282 78878 0 0 283 79017 0 0 284 79390 0 0 285 79465 0 0 286 79829 0 0 287 80052 0 0 288 80213 0 0 289 80826 0 0 290 81178 0 0 291 81212 0 0 292 81343 0 0 293 81345 0 0 294 81380 0 0 295 81678 0 0 296 82292 0 0 297 82448 0 0 298 82491 0 0 299 82829 0 0 300 83272 0 0 301 83506 0 0 302 83623 0 0 303 83990 0 0 304 84474 0 0 305 85072 0 0 306 85734 0 0 307 86401 0 0 308 86497 0 0 309 86588 0 0 310 86849 0 0 311 86910 0 0 312 87441 0 0 313 87457 0 0 314 87519 0 0 315 88259 0 0 316 88566 0 0 317 89154 0 0 318 89170 0 0 319 89198 0 0 320 89311 0 0 321 89435 0 0 322 89706 0 0 323 89898 0 0 324 89901 0 0 325 89957 0 0 326 90553 0 0 327 90626 0 0 328 91016 0 0 329 91987 0 0 330 92460 0 0 331 92532 0 0 332 92679 0 0 333 93416 0 0 334 93467 0 0 335 93510 1 0 336 93604 0 0 337 93646 0 0 338 93925 0 0 339 94450 0 0 340 94515 0 0 341 94808 0 0 342 94901 0 0 343 95347 0 0 344 95573 0 0 345 95867 0 0 346 96265 0 0 347 96321 0 0 348 96536 0 0 349 96675 1 0 350 96704 0 0 351 96798 0 0 352 96984 0 0 353 97801 0 0 354 97835 0 0 355 97841 0 0 356 98182 0 0 357 98254 0 0 358 98350 0 0 359 98399 0 0 360 98466 0 0 361 98510 0 0 362 98515 0 0 363 98654 0 0 364 98816 0 0 365 99169 0 0 366 99708 0 0 congeni_genetic_dxpr_and_tech congeni_genetic_dxpr_or_tech cvd_dxpr_only 1 0 1 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 0 0 8 0 0 0 9 0 0 0 10 0 0 0 11 0 0 0 12 0 0 0 13 0 0 0 14 0 0 0 15 0 0 0 16 0 0 0 17 0 0 1 18 0 0 0 19 0 0 0 20 0 0 0 21 0 0 0 22 0 0 0 23 0 0 0 24 0 0 0 25 0 0 0 26 0 0 0 27 0 0 0 28 0 0 0 29 0 0 0 30 0 0 1 31 0 0 0 32 0 0 0 33 0 0 0 34 0 0 0 35 0 0 0 36 0 0 0 37 0 0 0 38 0 0 0 39 0 0 0 40 0 0 0 41 0 0 0 42 0 0 0 43 0 0 0 44 0 1 0 45 0 0 0 46 0 0 1 47 0 0 0 48 0 0 1 49 0 0 1 50 0 0 1 51 0 0 0 52 0 0 0 53 0 0 1 54 0 1 1 55 0 0 0 56 0 0 0 57 0 0 0 58 0 0 0 59 0 0 1 60 0 0 1 61 0 0 0 62 0 0 0 63 0 0 0 64 0 0 0 65 0 0 0 66 0 0 0 67 0 0 0 68 0 0 0 69 0 0 0 70 0 0 1 71 0 0 1 72 0 0 0 73 0 0 1 74 0 0 0 75 0 0 0 76 0 0 0 77 0 0 0 78 0 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0 4 1 186 0 2 1 187 0 0 0 188 0 1 1 189 1 7 1 190 0 0 0 191 0 1 1 192 0 2 1 193 0 1 1 194 0 0 0 195 0 2 1 196 0 3 1 197 0 4 1 198 0 2 1 199 0 0 0 200 0 2 1 201 0 0 0 202 0 0 0 203 0 3 1 204 0 1 1 205 0 1 1 206 0 0 0 207 1 2 1 208 0 0 0 209 0 1 1 210 0 5 1 211 0 1 1 212 0 1 1 213 0 0 0 214 1 5 1 215 0 0 0 216 0 0 0 217 0 1 1 218 0 2 1 219 0 1 1 220 1 2 1 221 0 3 1 222 0 0 0 223 0 3 1 224 0 1 1 225 0 0 0 226 0 4 1 227 0 2 1 228 0 1 1 229 0 2 1 230 0 0 0 231 0 4 1 232 1 1 1 233 0 0 0 234 1 4 1 235 0 1 1 236 0 0 0 237 0 2 1 238 0 2 1 239 0 4 1 240 0 2 1 241 0 1 1 242 0 1 1 243 0 3 1 244 0 0 0 245 1 2 1 246 0 1 1 247 0 0 0 248 0 0 0 249 0 0 0 250 0 1 1 251 0 4 1 252 0 1 1 253 0 0 0 254 0 2 1 255 0 0 0 256 0 0 0 257 0 1 1 258 0 4 1 259 0 4 1 260 0 1 1 261 0 2 1 262 0 0 0 263 0 3 1 264 0 2 1 265 0 2 1 266 0 0 0 267 0 0 0 268 0 2 1 269 0 2 1 270 0 2 1 271 0 1 1 272 0 2 1 273 0 0 0 274 1 3 1 275 0 1 1 276 0 2 1 277 0 2 1 278 0 2 1 279 0 1 1 280 1 2 1 281 0 3 1 282 0 1 1 283 0 2 1 284 0 2 1 285 0 1 1 286 0 0 0 287 0 0 0 288 0 1 1 289 0 0 0 290 0 2 1 291 0 0 0 292 0 1 1 293 0 0 0 294 0 2 1 295 0 0 0 296 0 4 1 297 0 2 1 298 0 1 1 299 0 0 0 300 0 1 1 301 0 2 1 302 1 2 1 303 0 2 1 304 0 0 0 305 0 2 1 306 0 0 0 307 0 4 1 308 0 0 0 309 0 2 1 310 0 3 1 311 0 2 1 312 0 0 0 313 0 2 1 314 0 2 1 315 1 2 1 316 0 1 1 317 0 0 0 318 0 0 0 319 1 2 1 320 0 3 1 321 0 1 1 322 0 2 1 323 0 0 0 324 0 3 1 325 0 2 1 326 1 2 1 327 0 1 1 328 0 1 1 329 0 0 0 330 0 1 1 331 0 1 1 332 0 0 0 333 0 4 1 334 0 0 0 335 0 2 1 336 0 1 1 337 0 0 0 338 0 0 0 339 0 0 0 340 0 1 1 341 0 3 1 342 0 2 1 343 0 0 0 344 0 0 0 345 0 1 1 346 1 3 1 347 0 4 1 348 0 1 1 349 0 5 1 350 0 0 0 351 0 1 1 352 0 0 0 353 0 1 1 354 1 2 1 355 0 2 1 356 0 2 1 357 1 3 1 358 0 3 1 359 0 1 1 360 0 3 1 361 0 1 1 362 0 0 0 363 0 0 0 364 0 0 0 365 0 2 1 366 0 0 0 Comorbidities via pccc_v3.0 # A tibble: 366 × 49 patid congeni_genetic_dxpr_only congeni_genetic_tech…¹ congeni_genetic_dxpr…² 1 10083 1 0 0 2 10095 0 0 0 3 10566 0 0 0 4 10608 0 0 0 5 10630 0 0 0 6 10868 0 0 0 7 11258 0 0 0 8 11555 0 0 0 9 11702 0 0 0 10 12395 0 0 0 # ℹ 356 more rows # ℹ abbreviated names: ¹​congeni_genetic_tech_only, # ²​congeni_genetic_dxpr_and_tech # ℹ 45 more variables: congeni_genetic_dxpr_or_tech , cvd_dxpr_only , # cvd_tech_only , cvd_dxpr_and_tech , cvd_dxpr_or_tech , # gi_dxpr_only , gi_tech_only , gi_dxpr_and_tech , # gi_dxpr_or_tech , hemato_immu_dxpr_only , … Comorbidities via pccc_v3.0 patid congeni_genetic_dxpr_only congeni_genetic_tech_only 1: 10083 1 0 2: 10095 0 0 3: 10566 0 0 4: 10608 0 0 5: 10630 0 0 --- 362: 98515 0 0 363: 98654 0 0 364: 98816 0 0 365: 99169 0 0 366: 99708 0 0 congeni_genetic_dxpr_and_tech congeni_genetic_dxpr_or_tech cvd_dxpr_only 1: 0 1 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 cvd_tech_only cvd_dxpr_and_tech cvd_dxpr_or_tech gi_dxpr_only gi_tech_only 1: 0 0 0 0 0 2: 0 0 0 0 0 3: 0 0 0 0 0 4: 0 0 0 0 0 5: 0 0 0 0 0 --- 362: 0 0 0 0 0 363: 0 0 0 0 0 364: 0 0 0 0 0 365: 0 0 0 0 0 366: 0 0 0 0 0 gi_dxpr_and_tech gi_dxpr_or_tech hemato_immu_dxpr_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 hemato_immu_tech_only hemato_immu_dxpr_and_tech hemato_immu_dxpr_or_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 malignancy_dxpr_only malignancy_tech_only malignancy_dxpr_and_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 malignancy_dxpr_or_tech metabolic_dxpr_only metabolic_tech_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 metabolic_dxpr_and_tech metabolic_dxpr_or_tech misc_dxpr_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 misc_tech_only misc_dxpr_and_tech misc_dxpr_or_tech neonatal_dxpr_only 1: 0 0 0 0 2: 0 0 0 0 3: 0 0 0 0 4: 0 0 0 0 5: 0 0 0 0 --- 362: 0 0 0 0 363: 0 0 0 0 364: 0 0 0 0 365: 0 0 0 0 366: 0 0 0 0 neonatal_tech_only neonatal_dxpr_and_tech neonatal_dxpr_or_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 neuromusc_dxpr_only neuromusc_tech_only neuromusc_dxpr_and_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 1 0 0 366: 0 0 0 neuromusc_dxpr_or_tech renal_dxpr_only renal_tech_only renal_dxpr_and_tech 1: 0 0 0 0 2: 0 0 0 0 3: 0 0 0 0 4: 0 0 0 0 5: 0 0 0 0 --- 362: 0 0 0 0 363: 0 0 0 0 364: 0 0 0 0 365: 1 0 0 0 366: 0 0 0 0 renal_dxpr_or_tech respiratory_dxpr_only respiratory_tech_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 1 0 366: 0 0 0 respiratory_dxpr_and_tech respiratory_dxpr_or_tech any_tech_dep 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 1 0 366: 0 0 0 any_transplant num_cmrb cmrb_flag 1: 0 1 1 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 2 1 366: 0 0 0 Comorbidities and Subconditions via pccc_v3.0 List of 2 $ conditions :'data.frame': 366 obs. of 49 variables: $ subconditions:List of 11 ..$ congeni_genetic:'data.frame': 16 obs. of 5 variables: ..$ cvd :'data.frame': 61 obs. of 9 variables: ..$ gi :'data.frame': 76 obs. of 7 variables: ..$ hemato_immu :'data.frame': 50 obs. of 13 variables: ..$ malignancy :'data.frame': 116 obs. of 3 variables: ..$ metabolic :'data.frame': 44 obs. of 8 variables: ..$ misc :'data.frame': 7 obs. of 3 variables: ..$ neonatal :'data.frame': 5 obs. of 9 variables: ..$ neuromusc :'data.frame': 79 obs. of 11 variables: ..$ renal :'data.frame': 57 obs. of 7 variables: ..$ respiratory :'data.frame': 29 obs. of 7 variables: Comorbidities and Subconditions via pccc_v3.0 List of 2 $ conditions : tibble [366 × 49] (S3: tbl_df/tbl/data.frame) $ subconditions:List of 11 ..$ congeni_genetic: tibble [16 × 5] (S3: tbl_df/tbl/data.frame) ..$ cvd : tibble [61 × 9] (S3: tbl_df/tbl/data.frame) ..$ gi : tibble [76 × 7] (S3: tbl_df/tbl/data.frame) ..$ hemato_immu : tibble [50 × 13] (S3: tbl_df/tbl/data.frame) ..$ malignancy : tibble [116 × 3] (S3: tbl_df/tbl/data.frame) ..$ metabolic : tibble [44 × 8] (S3: tbl_df/tbl/data.frame) ..$ misc : tibble [7 × 3] (S3: tbl_df/tbl/data.frame) ..$ neonatal : tibble [5 × 9] (S3: tbl_df/tbl/data.frame) ..$ neuromusc : tibble [79 × 11] (S3: tbl_df/tbl/data.frame) ..$ renal : tibble [57 × 7] (S3: tbl_df/tbl/data.frame) ..$ respiratory : tibble [29 × 7] (S3: tbl_df/tbl/data.frame) Comorbidities and Subconditions via pccc_v3.0 List of 2 $ conditions :Classes 'data.table' and 'data.frame': 366 obs. of 49 variables: $ subconditions:List of 11 ..$ congeni_genetic:Classes 'data.table' and 'data.frame': 16 obs. of 5 variables: ..$ cvd :Classes 'data.table' and 'data.frame': 61 obs. of 9 variables: ..$ gi :Classes 'data.table' and 'data.frame': 76 obs. of 7 variables: ..$ hemato_immu :Classes 'data.table' and 'data.frame': 50 obs. of 13 variables: ..$ malignancy :Classes 'data.table' and 'data.frame': 116 obs. of 3 variables: ..$ metabolic :Classes 'data.table' and 'data.frame': 44 obs. of 8 variables: ..$ misc :Classes 'data.table' and 'data.frame': 7 obs. of 3 variables: ..$ neonatal :Classes 'data.table' and 'data.frame': 5 obs. of 9 variables: ..$ neuromusc :Classes 'data.table' and 'data.frame': 79 obs. of 11 variables: ..$ renal :Classes 'data.table' and 'data.frame': 57 obs. of 7 variables: ..$ respiratory :Classes 'data.table' and 'data.frame': 29 obs. of 7 variables: Comorbidities via pccc_v3.1 patid congeni_genetic_dxpr_only congeni_genetic_tech_only 1 10083 1 0 2 10095 0 0 3 10566 0 0 4 10608 0 0 5 10630 0 0 6 10868 0 0 7 11258 0 0 8 11555 0 0 9 11702 0 0 10 12395 0 0 11 12460 0 0 12 12512 0 0 13 13071 0 0 14 13337 0 0 15 13629 0 0 16 14005 0 0 17 14336 0 0 18 14409 0 0 19 14533 0 0 20 14916 0 0 21 15092 0 0 22 15260 0 0 23 16104 0 0 24 16336 0 0 25 16541 0 0 26 16618 0 0 27 16814 0 0 28 16933 0 0 29 17419 0 0 30 18322 0 0 31 18826 0 0 32 19051 0 0 33 19189 0 0 34 19725 0 0 35 19775 0 0 36 20245 0 0 37 20365 0 0 38 20514 0 0 39 20525 0 0 40 20531 0 0 41 21098 0 0 42 21409 0 0 43 21713 0 0 44 21913 1 0 45 22035 0 0 46 22163 0 0 47 22522 0 0 48 23003 0 0 49 23127 0 0 50 23149 0 0 51 23340 0 0 52 23658 0 0 53 23815 0 0 54 24362 1 0 55 25615 0 0 56 25868 0 0 57 25982 0 0 58 26022 0 0 59 26056 0 0 60 26210 0 0 61 26437 0 0 62 26494 0 0 63 26519 0 0 64 26529 0 0 65 26666 0 0 66 27270 0 0 67 27309 0 0 68 27564 0 0 69 27677 0 0 70 27702 0 0 71 27846 0 0 72 28003 0 0 73 28537 0 0 74 28697 0 0 75 28729 0 0 76 29024 0 0 77 29653 0 0 78 29935 0 0 79 29953 0 0 80 30077 0 0 81 30484 0 0 82 30669 0 0 83 30737 0 0 84 30845 0 0 85 31003 0 0 86 31396 0 0 87 31703 0 0 88 31713 0 0 89 32072 0 0 90 32194 0 0 91 32656 0 0 92 33539 0 0 93 34732 0 0 94 35226 0 0 95 35552 0 0 96 36507 0 0 97 37100 0 0 98 37106 0 0 99 37396 0 0 100 37545 0 0 101 37711 1 0 102 37835 0 0 103 38031 0 0 104 38313 0 0 105 38526 0 0 106 38863 0 0 107 39100 1 0 108 39413 0 0 109 39852 0 0 110 40128 0 0 111 40385 1 0 112 40843 0 0 113 41572 0 0 114 41666 0 0 115 41707 0 0 116 41996 0 0 117 42385 0 0 118 42566 0 0 119 42722 0 0 120 43058 1 0 121 43070 0 0 122 43200 0 0 123 43208 0 0 124 43385 0 0 125 43476 0 0 126 43870 0 0 127 43890 0 0 128 44533 0 0 129 44541 0 0 130 44740 1 0 131 45018 0 0 132 45270 0 0 133 45330 0 0 134 45465 0 0 135 45826 0 0 136 45869 0 0 137 45912 0 0 138 46227 0 0 139 46445 0 0 140 46531 0 0 141 46545 0 0 142 46695 0 0 143 46800 0 0 144 46829 0 0 145 46840 0 0 146 47027 0 0 147 47351 0 0 148 47537 0 0 149 47633 0 0 150 47664 0 0 151 47830 0 0 152 47831 0 0 153 48117 0 0 154 48479 0 0 155 48808 0 0 156 48949 0 0 157 49186 0 0 158 49341 0 0 159 49535 0 0 160 49672 0 0 161 49830 0 0 162 50367 0 0 163 50463 1 0 164 50635 0 0 165 50768 0 0 166 51157 0 0 167 51473 0 0 168 51588 0 0 169 52373 0 0 170 52498 0 0 171 52567 0 0 172 52962 0 0 173 52998 0 0 174 53269 0 0 175 53405 0 0 176 53441 0 0 177 53922 0 0 178 53949 0 0 179 54208 0 0 180 54278 0 0 181 54394 0 0 182 54457 0 0 183 54596 0 0 184 55039 0 0 185 55176 0 0 186 55209 0 0 187 55217 0 0 188 55503 1 0 189 55752 0 0 190 56898 0 0 191 57228 0 0 192 57422 0 0 193 57629 0 0 194 57765 0 0 195 57793 0 0 196 57969 0 0 197 57996 1 0 198 58106 0 0 199 58248 0 0 200 58931 0 0 201 59220 0 0 202 59256 0 0 203 59470 0 0 204 59784 0 0 205 60120 0 0 206 60533 0 0 207 60642 0 0 208 60709 0 0 209 61335 0 0 210 61656 0 0 211 61839 1 0 212 63032 0 0 213 63217 0 0 214 63218 1 0 215 63883 0 0 216 64030 0 0 217 64291 0 0 218 65044 0 0 219 65247 0 0 220 65990 0 0 221 66133 1 0 222 66985 0 0 223 67103 0 0 224 67269 0 0 225 67353 0 0 226 67397 0 0 227 68164 0 0 228 68338 0 0 229 68463 0 0 230 68808 0 0 231 68824 0 0 232 68870 0 0 233 69706 0 0 234 69826 0 0 235 70242 0 0 236 71071 0 0 237 71108 0 0 238 71315 0 0 239 71340 0 0 240 72034 0 0 241 72155 0 0 242 72168 0 0 243 72204 0 0 244 72576 0 0 245 72681 0 0 246 72689 0 0 247 72746 0 0 248 72987 0 0 249 73092 0 0 250 73171 0 0 251 73325 0 0 252 73464 0 0 253 73652 0 0 254 73734 0 0 255 73743 0 0 256 73835 0 0 257 73990 0 0 258 74095 0 0 259 74144 0 0 260 74290 0 0 261 74305 0 0 262 74453 0 0 263 74462 0 0 264 74738 0 0 265 75528 0 0 266 75772 0 0 267 76059 0 0 268 76170 0 0 269 76575 0 0 270 76846 0 0 271 76850 0 0 272 77262 0 0 273 77380 0 0 274 77484 0 0 275 77562 0 0 276 77776 0 0 277 77883 0 0 278 78030 0 0 279 78403 0 0 280 78598 0 0 281 78648 0 0 282 78878 0 0 283 79017 0 0 284 79390 0 0 285 79465 0 0 286 79829 0 0 287 80052 0 0 288 80213 0 0 289 80826 0 0 290 81178 0 0 291 81212 0 0 292 81343 0 0 293 81345 0 0 294 81380 0 0 295 81678 0 0 296 82292 0 0 297 82448 0 0 298 82491 0 0 299 82829 0 0 300 83272 0 0 301 83506 0 0 302 83623 0 0 303 83990 0 0 304 84474 0 0 305 85072 0 0 306 85734 0 0 307 86401 0 0 308 86497 0 0 309 86588 0 0 310 86849 0 0 311 86910 0 0 312 87441 0 0 313 87457 0 0 314 87519 0 0 315 88259 0 0 316 88566 0 0 317 89154 0 0 318 89170 0 0 319 89198 0 0 320 89311 0 0 321 89435 0 0 322 89706 0 0 323 89898 0 0 324 89901 0 0 325 89957 0 0 326 90553 0 0 327 90626 0 0 328 91016 0 0 329 91987 0 0 330 92460 0 0 331 92532 0 0 332 92679 0 0 333 93416 0 0 334 93467 0 0 335 93510 1 0 336 93604 0 0 337 93646 0 0 338 93925 0 0 339 94450 0 0 340 94515 0 0 341 94808 0 0 342 94901 0 0 343 95347 0 0 344 95573 0 0 345 95867 0 0 346 96265 0 0 347 96321 0 0 348 96536 0 0 349 96675 1 0 350 96704 0 0 351 96798 0 0 352 96984 0 0 353 97801 0 0 354 97835 0 0 355 97841 0 0 356 98182 0 0 357 98254 0 0 358 98350 0 0 359 98399 0 0 360 98466 0 0 361 98510 0 0 362 98515 0 0 363 98654 0 0 364 98816 0 0 365 99169 0 0 366 99708 0 0 congeni_genetic_dxpr_and_tech congeni_genetic_dxpr_or_tech cvd_dxpr_only 1 0 1 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 0 0 8 0 0 0 9 0 0 0 10 0 0 0 11 0 0 0 12 0 0 0 13 0 0 0 14 0 0 0 15 0 0 0 16 0 0 0 17 0 0 1 18 0 0 0 19 0 0 0 20 0 0 0 21 0 0 0 22 0 0 0 23 0 0 0 24 0 0 0 25 0 0 0 26 0 0 0 27 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0 0 335 0 1 0 336 0 0 0 337 0 0 0 338 0 0 0 339 0 0 0 340 0 0 0 341 0 0 0 342 0 0 0 343 0 0 0 344 0 0 0 345 0 0 0 346 0 0 1 347 0 0 0 348 0 0 0 349 0 1 1 350 0 0 0 351 0 0 0 352 0 0 0 353 0 0 0 354 0 0 0 355 0 0 0 356 0 0 0 357 0 0 1 358 0 0 1 359 0 0 0 360 0 0 0 361 0 0 0 362 0 0 0 363 0 0 0 364 0 0 0 365 0 0 0 366 0 0 0 cvd_tech_only cvd_dxpr_and_tech cvd_dxpr_or_tech gi_dxpr_only gi_tech_only 1 0 0 0 0 0 2 0 0 0 0 0 3 0 0 0 0 0 4 0 0 0 0 0 5 0 0 0 0 0 6 0 0 0 0 0 7 0 0 0 0 0 8 0 0 0 1 0 9 0 0 0 0 0 10 0 0 0 0 0 11 0 0 0 0 0 12 0 0 0 0 0 13 0 0 0 1 0 14 0 0 0 0 0 15 0 0 0 0 0 16 0 0 0 1 0 17 0 0 1 0 0 18 0 0 0 0 0 19 0 0 0 1 0 20 0 0 0 0 1 21 0 0 0 0 0 22 0 0 0 0 0 23 0 0 0 0 0 24 0 0 0 1 0 25 0 0 0 0 0 26 0 0 0 0 0 27 0 0 0 0 0 28 0 0 0 0 0 29 0 0 0 1 0 30 0 0 1 0 1 31 0 0 0 0 0 32 0 0 0 0 0 33 0 0 0 0 0 34 0 0 0 0 0 35 0 0 0 0 0 36 0 0 0 1 0 37 0 0 0 1 0 38 0 0 0 0 0 39 1 0 1 0 0 40 0 0 0 0 0 41 0 0 0 0 0 42 0 0 0 0 0 43 0 0 0 0 0 44 0 0 0 0 0 45 0 0 0 0 0 46 0 0 1 0 0 47 0 0 0 0 0 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0 1 0 0 331 0 0 0 0 332 0 0 0 0 333 0 0 0 1 334 0 0 0 0 335 1 0 0 0 336 0 0 0 0 337 0 0 0 0 338 0 0 0 0 339 0 0 0 0 340 0 0 0 0 341 0 1 0 0 342 1 0 0 0 343 0 0 0 0 344 0 0 0 0 345 0 0 0 0 346 0 0 0 0 347 1 0 0 0 348 1 0 0 0 349 1 1 0 0 350 0 0 0 0 351 1 0 0 0 352 0 0 0 0 353 0 0 0 0 354 0 1 0 0 355 1 0 0 0 356 1 0 0 0 357 0 0 0 0 358 0 0 0 0 359 1 0 0 0 360 1 0 0 0 361 0 0 0 0 362 0 0 0 0 363 0 0 0 0 364 0 0 0 0 365 1 0 0 0 366 0 0 0 0 renal_dxpr_or_tech respiratory_dxpr_only respiratory_tech_only 1 0 0 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 1 0 8 0 0 0 9 0 0 0 10 0 0 0 11 1 0 0 12 0 0 0 13 0 0 0 14 0 0 0 15 0 0 0 16 0 0 0 17 0 0 0 18 0 0 0 19 0 0 0 20 0 0 0 21 0 0 0 22 0 0 0 23 0 0 0 24 0 0 0 25 0 0 0 26 0 0 0 27 0 0 0 28 0 0 0 29 0 0 0 30 0 0 0 31 0 0 0 32 0 0 1 33 0 0 0 34 0 0 0 35 0 0 0 36 1 0 0 37 1 0 0 38 1 0 1 39 0 0 0 40 0 0 0 41 0 0 0 42 0 0 0 43 0 0 0 44 0 0 1 45 0 0 0 46 0 0 0 47 0 1 0 48 0 0 0 49 1 0 0 50 1 0 0 51 0 0 0 52 0 1 0 53 0 0 0 54 0 0 0 55 0 1 0 56 0 0 0 57 0 0 0 58 0 0 0 59 0 0 0 60 1 0 0 61 1 0 0 62 0 0 0 63 0 0 0 64 0 0 0 65 0 0 0 66 0 0 0 67 0 0 0 68 0 0 0 69 0 0 0 70 1 0 0 71 0 0 0 72 0 0 0 73 0 0 0 74 0 0 0 75 1 0 0 76 0 0 0 77 0 0 0 78 1 0 0 79 0 0 0 80 0 0 0 81 0 0 0 82 1 0 0 83 1 0 0 84 0 0 0 85 0 0 0 86 0 0 0 87 0 0 0 88 0 0 0 89 0 0 0 90 0 0 0 91 0 0 0 92 0 0 0 93 0 0 0 94 0 0 0 95 0 0 0 96 0 0 0 97 0 0 0 98 1 0 0 99 1 0 0 100 0 0 0 101 0 0 0 102 0 0 0 103 0 0 0 104 1 0 0 105 0 0 0 106 0 0 0 107 0 0 0 108 0 0 0 109 0 0 0 110 0 0 0 111 0 0 0 112 0 0 0 113 0 0 0 114 0 0 0 115 0 0 0 116 0 0 0 117 0 0 0 118 1 0 0 119 0 0 0 120 0 0 0 121 1 0 0 122 0 0 0 123 0 0 0 124 0 0 0 125 0 0 0 126 1 0 0 127 0 0 0 128 1 0 0 129 0 0 0 130 0 0 0 131 0 0 0 132 0 0 0 133 0 0 0 134 0 0 0 135 0 0 0 136 0 0 0 137 0 0 0 138 0 0 0 139 0 0 0 140 0 0 0 141 0 0 0 142 0 0 0 143 0 0 0 144 0 0 0 145 0 0 0 146 0 0 0 147 0 0 0 148 0 0 0 149 0 0 0 150 0 0 0 151 0 0 0 152 0 0 0 153 0 0 0 154 0 0 0 155 0 0 0 156 0 0 0 157 0 0 0 158 0 0 0 159 0 0 0 160 0 0 0 161 1 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0 0 362 0 0 0 363 0 0 0 364 0 0 0 365 0 1 0 366 0 0 0 respiratory_dxpr_and_tech respiratory_dxpr_or_tech any_tech_dep 1 0 0 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 1 0 8 0 0 0 9 0 0 0 10 0 0 0 11 0 0 0 12 0 0 0 13 1 1 1 14 0 0 0 15 0 0 0 16 0 0 0 17 0 0 0 18 0 0 0 19 0 0 0 20 0 0 1 21 0 0 0 22 0 0 0 23 0 0 0 24 0 0 0 25 0 0 0 26 0 0 0 27 0 0 0 28 0 0 0 29 0 0 0 30 0 0 1 31 0 0 0 32 0 1 1 33 0 0 0 34 0 0 0 35 0 0 0 36 0 0 1 37 0 0 1 38 0 1 1 39 0 0 1 40 0 0 0 41 0 0 0 42 0 0 0 43 0 0 0 44 0 1 1 45 0 0 0 46 0 0 0 47 0 1 0 48 0 0 0 49 0 0 1 50 0 0 0 51 0 0 1 52 0 1 1 53 0 0 0 54 0 0 0 55 0 1 0 56 1 1 1 57 0 0 0 58 0 0 0 59 0 0 0 60 0 0 0 61 0 0 0 62 0 0 0 63 0 0 0 64 0 0 0 65 0 0 0 66 0 0 0 67 0 0 0 68 0 0 0 69 0 0 0 70 0 0 0 71 0 0 0 72 0 0 0 73 0 0 0 74 0 0 0 75 0 0 1 76 0 0 0 77 0 0 0 78 0 0 0 79 0 0 0 80 0 0 0 81 0 0 1 82 0 0 1 83 0 0 0 84 0 0 0 85 0 0 1 86 0 0 0 87 0 0 0 88 0 0 1 89 0 0 1 90 0 0 0 91 0 0 1 92 0 0 1 93 0 0 0 94 0 0 0 95 0 0 0 96 0 0 1 97 0 0 1 98 0 0 0 99 0 0 0 100 0 0 0 101 0 0 0 102 0 0 0 103 0 0 0 104 0 0 1 105 0 0 1 106 0 0 0 107 0 0 0 108 0 0 0 109 0 0 0 110 0 0 0 111 0 0 1 112 0 0 1 113 0 0 0 114 0 0 0 115 0 0 0 116 0 0 0 117 0 0 0 118 0 0 0 119 0 0 0 120 0 0 0 121 0 0 0 122 0 0 1 123 0 0 1 124 0 0 0 125 0 0 0 126 1 1 1 127 0 0 0 128 0 0 0 129 0 0 0 130 0 0 0 131 0 0 0 132 0 0 0 133 0 0 1 134 0 0 0 135 0 0 0 136 0 0 0 137 0 0 1 138 0 0 0 139 0 0 0 140 0 0 0 141 0 0 0 142 0 0 0 143 0 0 0 144 0 0 0 145 0 0 1 146 0 0 0 147 0 0 0 148 0 0 0 149 0 0 0 150 0 0 0 151 0 0 0 152 0 0 0 153 0 0 0 154 0 0 0 155 0 0 0 156 0 0 0 157 0 0 1 158 0 0 0 159 0 0 0 160 0 0 0 161 0 0 0 162 0 0 0 163 0 1 1 164 0 0 0 165 0 0 0 166 1 1 1 167 0 0 0 168 0 0 0 169 0 0 0 170 0 0 0 171 0 0 0 172 0 0 0 173 0 0 1 174 0 0 0 175 0 0 1 176 0 1 0 177 0 0 0 178 0 0 0 179 0 0 1 180 0 0 1 181 0 0 0 182 0 0 0 183 0 0 0 184 0 0 0 185 0 0 1 186 0 0 1 187 0 0 0 188 0 0 0 189 0 1 1 190 0 0 0 191 0 0 0 192 1 1 1 193 0 0 0 194 0 0 0 195 0 0 1 196 0 0 1 197 0 0 0 198 0 0 1 199 0 0 0 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300 0 0 0 301 0 0 1 302 0 0 0 303 0 0 1 304 0 0 0 305 0 0 0 306 0 0 0 307 0 0 1 308 0 0 0 309 0 0 0 310 0 1 0 311 0 0 0 312 0 0 0 313 0 0 0 314 0 1 1 315 0 0 0 316 0 0 0 317 0 0 0 318 0 0 0 319 0 0 1 320 0 0 1 321 0 0 0 322 0 1 0 323 0 0 0 324 0 0 0 325 0 0 1 326 0 0 0 327 0 0 0 328 0 0 0 329 0 0 0 330 0 0 0 331 0 0 0 332 0 0 0 333 0 0 1 334 0 0 0 335 0 0 0 336 0 0 0 337 0 0 0 338 0 0 0 339 0 0 0 340 0 0 0 341 0 0 1 342 0 0 0 343 0 0 0 344 0 0 0 345 0 1 0 346 0 0 0 347 0 1 1 348 0 0 1 349 0 0 1 350 0 0 0 351 0 0 0 352 0 0 0 353 0 0 0 354 0 0 1 355 0 0 0 356 0 0 1 357 0 0 1 358 0 0 0 359 0 0 0 360 0 1 1 361 0 0 0 362 0 0 0 363 0 0 0 364 0 0 0 365 0 1 0 366 0 0 0 any_transplant num_cmrb cmrb_flag 1 0 1 1 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 2 1 8 1 1 1 9 0 0 0 10 0 0 0 11 1 1 1 12 0 1 1 13 1 4 1 14 0 0 0 15 0 0 0 16 1 1 1 17 0 3 1 18 0 0 0 19 1 1 1 20 0 2 1 21 0 0 0 22 0 2 1 23 0 1 1 24 1 2 1 25 0 0 0 26 0 0 0 27 1 2 1 28 0 0 0 29 0 3 1 30 0 3 1 31 0 0 0 32 0 2 1 33 0 1 1 34 0 2 1 35 0 0 0 36 1 5 1 37 1 4 1 38 1 4 1 39 0 2 1 40 0 1 1 41 0 1 1 42 0 2 1 43 0 0 0 44 0 4 1 45 0 1 1 46 0 2 1 47 0 1 1 48 0 4 1 49 0 4 1 50 0 3 1 51 1 4 1 52 0 2 1 53 0 2 1 54 0 3 1 55 0 1 1 56 0 3 1 57 0 2 1 58 0 0 0 59 0 1 1 60 0 2 1 61 1 2 1 62 0 1 1 63 0 0 0 64 0 0 0 65 0 0 0 66 0 0 0 67 0 0 0 68 1 2 1 69 0 1 1 70 0 3 1 71 0 1 1 72 0 0 0 73 0 2 1 74 0 1 1 75 0 2 1 76 0 1 1 77 0 1 1 78 1 2 1 79 0 0 0 80 0 1 1 81 0 3 1 82 0 2 1 83 0 2 1 84 0 2 1 85 0 2 1 86 0 1 1 87 1 2 1 88 0 2 1 89 0 2 1 90 0 2 1 91 0 2 1 92 0 4 1 93 0 1 1 94 0 0 0 95 0 1 1 96 0 3 1 97 0 1 1 98 1 3 1 99 1 1 1 100 0 0 0 101 0 2 1 102 0 0 0 103 0 1 1 104 0 3 1 105 0 3 1 106 0 0 0 107 0 3 1 108 0 2 1 109 0 1 1 110 0 0 0 111 0 5 1 112 0 1 1 113 0 1 1 114 1 1 1 115 0 1 1 116 0 1 1 117 1 4 1 118 0 2 1 119 0 1 1 120 0 1 1 121 0 2 1 122 0 2 1 123 0 3 1 124 0 1 1 125 0 0 0 126 0 6 1 127 0 2 1 128 1 2 1 129 0 1 1 130 0 3 1 131 0 2 1 132 0 1 1 133 0 2 1 134 0 0 0 135 0 0 0 136 0 1 1 137 1 5 1 138 0 1 1 139 0 2 1 140 0 0 0 141 0 1 1 142 0 2 1 143 0 2 1 144 0 2 1 145 0 4 1 146 0 0 0 147 0 0 0 148 0 0 0 149 0 0 0 150 0 1 1 151 0 0 0 152 0 1 1 153 0 2 1 154 0 2 1 155 0 0 0 156 0 0 0 157 0 3 1 158 0 0 0 159 0 1 1 160 1 1 1 161 1 2 1 162 0 1 1 163 0 5 1 164 0 0 0 165 0 0 0 166 0 4 1 167 1 2 1 168 0 2 1 169 0 1 1 170 0 1 1 171 1 1 1 172 0 1 1 173 1 2 1 174 0 1 1 175 0 1 1 176 0 1 1 177 0 1 1 178 0 0 0 179 0 2 1 180 1 2 1 181 0 2 1 182 0 1 1 183 0 1 1 184 0 1 1 185 0 4 1 186 0 2 1 187 0 0 0 188 0 1 1 189 1 7 1 190 0 0 0 191 0 1 1 192 0 2 1 193 0 1 1 194 0 0 0 195 0 2 1 196 0 3 1 197 0 4 1 198 0 2 1 199 0 0 0 200 0 2 1 201 0 0 0 202 0 0 0 203 0 3 1 204 0 1 1 205 0 1 1 206 0 0 0 207 1 2 1 208 0 0 0 209 0 1 1 210 0 5 1 211 0 1 1 212 0 1 1 213 0 0 0 214 1 5 1 215 0 0 0 216 0 0 0 217 0 1 1 218 0 2 1 219 0 1 1 220 1 2 1 221 0 3 1 222 0 0 0 223 0 3 1 224 0 1 1 225 0 0 0 226 0 4 1 227 0 2 1 228 0 2 1 229 0 2 1 230 0 0 0 231 0 4 1 232 1 1 1 233 0 0 0 234 1 4 1 235 0 1 1 236 0 0 0 237 0 2 1 238 0 2 1 239 0 4 1 240 0 2 1 241 0 1 1 242 0 1 1 243 0 3 1 244 0 0 0 245 1 2 1 246 0 1 1 247 0 0 0 248 0 0 0 249 0 0 0 250 0 1 1 251 0 4 1 252 0 1 1 253 0 0 0 254 0 2 1 255 0 0 0 256 0 0 0 257 0 1 1 258 0 4 1 259 0 4 1 260 0 1 1 261 0 2 1 262 0 0 0 263 0 3 1 264 0 2 1 265 0 2 1 266 0 0 0 267 0 0 0 268 0 2 1 269 0 2 1 270 0 2 1 271 0 1 1 272 0 2 1 273 0 0 0 274 1 3 1 275 0 1 1 276 0 2 1 277 0 2 1 278 0 2 1 279 0 1 1 280 1 2 1 281 0 3 1 282 0 1 1 283 0 3 1 284 0 2 1 285 0 1 1 286 0 0 0 287 0 0 0 288 0 1 1 289 0 0 0 290 0 2 1 291 0 0 0 292 0 1 1 293 0 0 0 294 0 2 1 295 0 0 0 296 0 4 1 297 0 2 1 298 0 1 1 299 0 0 0 300 0 1 1 301 0 2 1 302 1 2 1 303 0 2 1 304 0 0 0 305 0 2 1 306 0 0 0 307 0 4 1 308 0 0 0 309 0 2 1 310 0 3 1 311 0 2 1 312 0 0 0 313 0 2 1 314 0 2 1 315 1 2 1 316 0 1 1 317 0 0 0 318 0 0 0 319 1 2 1 320 0 3 1 321 0 1 1 322 0 2 1 323 0 0 0 324 0 3 1 325 0 2 1 326 1 2 1 327 0 1 1 328 0 1 1 329 0 0 0 330 0 1 1 331 0 1 1 332 0 0 0 333 0 4 1 334 0 0 0 335 0 2 1 336 0 1 1 337 0 0 0 338 0 0 0 339 0 0 0 340 0 1 1 341 0 3 1 342 0 2 1 343 0 0 0 344 0 0 0 345 0 1 1 346 1 3 1 347 0 4 1 348 0 1 1 349 0 5 1 350 0 0 0 351 0 1 1 352 0 0 0 353 0 1 1 354 1 2 1 355 0 2 1 356 0 2 1 357 1 3 1 358 0 3 1 359 0 1 1 360 0 3 1 361 0 1 1 362 0 0 0 363 0 0 0 364 0 0 0 365 0 2 1 366 0 0 0 Comorbidities via pccc_v3.1 # A tibble: 366 × 49 patid congeni_genetic_dxpr_only congeni_genetic_tech…¹ congeni_genetic_dxpr…² 1 10083 1 0 0 2 10095 0 0 0 3 10566 0 0 0 4 10608 0 0 0 5 10630 0 0 0 6 10868 0 0 0 7 11258 0 0 0 8 11555 0 0 0 9 11702 0 0 0 10 12395 0 0 0 # ℹ 356 more rows # ℹ abbreviated names: ¹​congeni_genetic_tech_only, # ²​congeni_genetic_dxpr_and_tech # ℹ 45 more variables: congeni_genetic_dxpr_or_tech , cvd_dxpr_only , # cvd_tech_only , cvd_dxpr_and_tech , cvd_dxpr_or_tech , # gi_dxpr_only , gi_tech_only , gi_dxpr_and_tech , # gi_dxpr_or_tech , hemato_immu_dxpr_only , … Comorbidities via pccc_v3.1 patid congeni_genetic_dxpr_only congeni_genetic_tech_only 1: 10083 1 0 2: 10095 0 0 3: 10566 0 0 4: 10608 0 0 5: 10630 0 0 --- 362: 98515 0 0 363: 98654 0 0 364: 98816 0 0 365: 99169 0 0 366: 99708 0 0 congeni_genetic_dxpr_and_tech congeni_genetic_dxpr_or_tech cvd_dxpr_only 1: 0 1 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 cvd_tech_only cvd_dxpr_and_tech cvd_dxpr_or_tech gi_dxpr_only gi_tech_only 1: 0 0 0 0 0 2: 0 0 0 0 0 3: 0 0 0 0 0 4: 0 0 0 0 0 5: 0 0 0 0 0 --- 362: 0 0 0 0 0 363: 0 0 0 0 0 364: 0 0 0 0 0 365: 0 0 0 0 0 366: 0 0 0 0 0 gi_dxpr_and_tech gi_dxpr_or_tech hemato_immu_dxpr_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 hemato_immu_tech_only hemato_immu_dxpr_and_tech hemato_immu_dxpr_or_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 malignancy_dxpr_only malignancy_tech_only malignancy_dxpr_and_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 malignancy_dxpr_or_tech metabolic_dxpr_only metabolic_tech_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 metabolic_dxpr_and_tech metabolic_dxpr_or_tech misc_dxpr_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 misc_tech_only misc_dxpr_and_tech misc_dxpr_or_tech neonatal_dxpr_only 1: 0 0 0 0 2: 0 0 0 0 3: 0 0 0 0 4: 0 0 0 0 5: 0 0 0 0 --- 362: 0 0 0 0 363: 0 0 0 0 364: 0 0 0 0 365: 0 0 0 0 366: 0 0 0 0 neonatal_tech_only neonatal_dxpr_and_tech neonatal_dxpr_or_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 0 0 366: 0 0 0 neuromusc_dxpr_only neuromusc_tech_only neuromusc_dxpr_and_tech 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 1 0 0 366: 0 0 0 neuromusc_dxpr_or_tech renal_dxpr_only renal_tech_only renal_dxpr_and_tech 1: 0 0 0 0 2: 0 0 0 0 3: 0 0 0 0 4: 0 0 0 0 5: 0 0 0 0 --- 362: 0 0 0 0 363: 0 0 0 0 364: 0 0 0 0 365: 1 0 0 0 366: 0 0 0 0 renal_dxpr_or_tech respiratory_dxpr_only respiratory_tech_only 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 1 0 366: 0 0 0 respiratory_dxpr_and_tech respiratory_dxpr_or_tech any_tech_dep 1: 0 0 0 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 1 0 366: 0 0 0 any_transplant num_cmrb cmrb_flag 1: 0 1 1 2: 0 0 0 3: 0 0 0 4: 0 0 0 5: 0 0 0 --- 362: 0 0 0 363: 0 0 0 364: 0 0 0 365: 0 2 1 366: 0 0 0 Comorbidities and Subconditions via pccc_v3.1 List of 2 $ conditions :'data.frame': 366 obs. of 49 variables: $ subconditions:List of 11 ..$ congeni_genetic:'data.frame': 16 obs. of 5 variables: ..$ cvd :'data.frame': 64 obs. of 9 variables: ..$ gi :'data.frame': 76 obs. of 7 variables: ..$ hemato_immu :'data.frame': 50 obs. of 13 variables: ..$ malignancy :'data.frame': 116 obs. of 3 variables: ..$ metabolic :'data.frame': 44 obs. of 8 variables: ..$ misc :'data.frame': 7 obs. of 3 variables: ..$ neonatal :'data.frame': 5 obs. of 9 variables: ..$ neuromusc :'data.frame': 79 obs. of 11 variables: ..$ renal :'data.frame': 57 obs. of 7 variables: ..$ respiratory :'data.frame': 29 obs. of 7 variables: Comorbidities and Subconditions via pccc_v3.1 List of 2 $ conditions : tibble [366 × 49] (S3: tbl_df/tbl/data.frame) $ subconditions:List of 11 ..$ congeni_genetic: tibble [16 × 5] (S3: tbl_df/tbl/data.frame) ..$ cvd : tibble [64 × 9] (S3: tbl_df/tbl/data.frame) ..$ gi : tibble [76 × 7] (S3: tbl_df/tbl/data.frame) ..$ hemato_immu : tibble [50 × 13] (S3: tbl_df/tbl/data.frame) ..$ malignancy : tibble [116 × 3] (S3: tbl_df/tbl/data.frame) ..$ metabolic : tibble [44 × 8] (S3: tbl_df/tbl/data.frame) ..$ misc : tibble [7 × 3] (S3: tbl_df/tbl/data.frame) ..$ neonatal : tibble [5 × 9] (S3: tbl_df/tbl/data.frame) ..$ neuromusc : tibble [79 × 11] (S3: tbl_df/tbl/data.frame) ..$ renal : tibble [57 × 7] (S3: tbl_df/tbl/data.frame) ..$ respiratory : tibble [29 × 7] (S3: tbl_df/tbl/data.frame) Comorbidities and Subconditions via pccc_v3.1 List of 2 $ conditions :Classes 'data.table' and 'data.frame': 366 obs. of 49 variables: $ subconditions:List of 11 ..$ congeni_genetic:Classes 'data.table' and 'data.frame': 16 obs. of 5 variables: ..$ cvd :Classes 'data.table' and 'data.frame': 64 obs. of 9 variables: ..$ gi :Classes 'data.table' and 'data.frame': 76 obs. of 7 variables: ..$ hemato_immu :Classes 'data.table' and 'data.frame': 50 obs. of 13 variables: ..$ malignancy :Classes 'data.table' and 'data.frame': 116 obs. of 3 variables: ..$ metabolic :Classes 'data.table' and 'data.frame': 44 obs. of 8 variables: ..$ misc :Classes 'data.table' and 'data.frame': 7 obs. of 3 variables: ..$ neonatal :Classes 'data.table' and 'data.frame': 5 obs. of 9 variables: ..$ neuromusc :Classes 'data.table' and 'data.frame': 79 obs. of 11 variables: ..$ renal :Classes 'data.table' and 'data.frame': 57 obs. of 7 variables: ..$ respiratory :Classes 'data.table' and 'data.frame': 29 obs. of 7 variables: > > ################################################################################ > # Now, if the data.table namespace is available, then test that the elements in > # DTS are data.tables and after setting to data.frames, then the objects are > # identical. > > if (requireNamespace("data.table", quietly = TRUE)) { + stopifnot(is.data.frame(mdcrDF)) + stopifnot(is.data.frame(mdcrDT)) + stopifnot(data.table::is.data.table(mdcrDT)) + for (obj in ls(envir = DTS, all.names = TRUE)) { + if (grepl("_with_subconditions", obj)) { + stopifnot(data.table::is.data.table(DTS[[obj]][["conditions"]])) + data.table::setDF(DTS[[obj]][["conditions"]]) + for (sc in names(DTS[[obj]][["subconditions"]])) { + stopifnot(data.table::is.data.table(DTS[[obj]][["subconditions"]][[sc]])) + data.table::setDF(DTS[[obj]][["subconditions"]][[sc]]) + } + } else { + stopifnot(data.table::is.data.table(DTS[[obj]])) + data.table::setDF(DTS[[obj]]) + class(DTS[[obj]]) <- c("medicalcoder_comorbidities", class(DTS[[obj]])) + } + } + } > > # regardless of having data.table available, the elements should be identical to > # the results for a data.frame > > for (obj in ls(envir = DFS, all.names = TRUE)) { + xDF <- DFS[[obj]] + xDT <- DTS[[obj]] + stopifnot(identical(class(xDT), class(xDF))) + stopifnot(identical(xDF, xDT)) + } > > > ################################################################################ > # For tibbles > > if (requireNamespace("tibble", quietly = TRUE)) { + stopifnot(is.data.frame(mdcrDF)) + stopifnot(is.data.frame(mdcrTBL)) + stopifnot(tibble::is_tibble(mdcrTBL)) + for (obj in ls(envir = TBLS, all.names = TRUE)) { + if (grepl("_with_subconditions", obj)) { + stopifnot(tibble::is_tibble(TBLS[[obj]][["conditions"]])) + TBLS[[obj]][["conditions"]] <- as.data.frame(TBLS[[obj]][["conditions"]]) + for (sc in names(TBLS[[obj]][["subconditions"]])) { + stopifnot(tibble::is_tibble(TBLS[[obj]][["subconditions"]][[sc]])) + TBLS[[obj]][["subconditions"]][[sc]] <- as.data.frame(TBLS[[obj]][["subconditions"]][[sc]]) + } + } else { + stopifnot(tibble::is_tibble(TBLS[[obj]])) + TBLS[[obj]] <- as.data.frame(TBLS[[obj]]) + class(TBLS[[obj]]) <- c("medicalcoder_comorbidities", class(TBLS[[obj]])) + } + } + } > > for (obj in ls(envir = DFS, all.names = TRUE)) { + xDF <- DFS[[obj]] + xTBL <- TBLS[[obj]] + stopifnot(identical(class(xTBL), class(xDF))) + stopifnot(identical(xTBL, xDF)) + } > > > > ################################################################################ > # End of File # > ################################################################################ > > proc.time() user system elapsed 5.96 0.70 6.65