{"doi":"10.1016/j.xkme.2023.100676","title":"Kidney Disease–Related Mortality Among Asian Americans","abstract":"In the United States, cardiovascular risk and mortality vary across subgroups of Asian adults.1Shah N.S. Xi K. Kapphahn K.I. et al.Cardiovascular and cerebrovascular disease mortality in Asian American subgroups.Circ Cardiovasc Qual Outcomes. 2022; 15e008651https://doi.org/10.1161/CIRCOUTCOMES.121.008651Crossref Scopus (23) Google Scholar, 2Shah N.S. Palaniappan L.S. Khan S.S. Proportional mortality from ischemic heart disease among Asian American subgroups, from 2018 to 2020.JAMA Intern Med. 2022; 182: 1102-1103https://doi.org/10.1001/jamainternmed.2022.3616Crossref Scopus (7) Google Scholar, 3Satish P. Sadaf M.I. Valero-Elizondo J. et al.Heterogeneity in cardio-metabolic risk factors and atherosclerotic cardiovascular disease among Asian groups in the United States.Am J Prev Cardiol. 2021; 7100219Crossref PubMed Scopus (15) Google Scholar South Asian adults have a higher cardiovascular risk than East Asian adults.1Shah N.S. Xi K. Kapphahn K.I. et al.Cardiovascular and cerebrovascular disease mortality in Asian American subgroups.Circ Cardiovasc Qual Outcomes. 2022; 15e008651https://doi.org/10.1161/CIRCOUTCOMES.121.008651Crossref Scopus (23) Google Scholar,2Shah N.S. Palaniappan L.S. Khan S.S. Proportional mortality from ischemic heart disease among Asian American subgroups, from 2018 to 2020.JAMA Intern Med. 2022; 182: 1102-1103https://doi.org/10.1001/jamainternmed.2022.3616Crossref Scopus (7) Google Scholar As a result, South Asians may have a higher risk of cardiovascular complications, such as chronic kidney disease (CKD). Other risk factors for CKD specific to this population are not well described but may be related to genetic predisposition or social determinants of health. The high morbidity associated with CKD calls for further investigation into the burden of kidney disease within this population. We used publicly available data from the Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (WONDER) to identify deaths from all causes and those from kidney disease [ICD-10 diagnostic codes for chronic renal failure (N18.0-18.9)] between 2018-2020.4CDC WONDERUnderlying cause of death, 2018-2020, single race request deaths occuring through 2021. Centres for Disease Control and Prevention.https://wonder.cdc.gov/controller/datarequest/D158Date accessed: July 10, 2022Google Scholar The database includes the single underlying cause of death and demographic information (such as race/ethnicity) as described on the death certificate and reported to the National Vital Statistics System. It contains population counts only for selected racial/ethnic groups. We followed the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines. Detailed methods can be found in Supplementary Item S1. We included individuals aged 20 years or older and of non-Hispanic origin. We compared the mortality rates from kidney disease across Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, and Vietnamese), Black, and White individuals and further stratified by sex and age. We excluded the other Asian category owing to heterogeneity within this group. Z-tests compared the proportional mortality rates from kidney disease by race and ethnicity, sex, and age, using non-Hispanic Whites as references. A 2-tailed P < 0.05 was considered statistically significant. Statistical analyses were conducted in SAS (v9.4) and Microsoft excel (v16.0.1). The proportion of deaths attributed to kidney disease was significantly higher among all Asian subgroups when compared with those of the non-Hispanic Whites (P < 0.05 for all, Table 1 and Supplementary Table S1), and consistent in sex-stratified analysis (Fig 1). The highest kidney disease proportional mortality rate was among Filipino individuals aged 60 years or older (2.4%, P < 0.001 when compared with those of the non-Hispanic Whites), followed by Black individuals of the same age (2.3%, P < 0.001). In age-stratified anal","journal":"Kidney Medicine","year":2023,"id":384967,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.942,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":34473,"name":"Sushrut S. Waikar","orcid":"0000-0003-4004-326X","position":1,"is_corresponding":false},{"id":361912,"name":"Insa M. Schmidt","orcid":"0000-0002-0420-6570","position":2,"is_corresponding":false},{"id":518168,"name":"Ashish Verma","orcid":"0000-0001-9497-6327","position":3,"is_corresponding":false},{"id":281788,"name":"Sophie E. Claudel","orcid":"0000-0002-7695-4674","position":0,"is_corresponding":true}],"reference_count":5,"raw_metadata":null,"created_at":"2026-07-19T01:17:48.629718Z","pmid":"37576431","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}