{"doi":"10.1371/journal.pgph.0001892","title":"Thirty-day mortality rates among young adult stroke patients and their characteristics at Kiruddu and Mulago hospitals in Uganda: A prospective observational cohort study","abstract":"Stroke outcomes among young adults in Uganda are unclear. This study therefore determined the clinical characteristics and 30-day outcome among young adults with an acute stroke. In a prospective observational cohort study, 61 young adults with confirmed stroke were followed up for 30 days. Socio-demographic and clinical characteristics were collected using a study questionnaire. Kaplan-Meier curves, and modified Poisson regression were performed for factors associated with the 30-day mortality outcome. A third of the screened stroke survivors, (61/195) were young adults aged between 18 and 50 years. About two-thirds were male. More than half were diagnosed with ischaemic strokes while 42.6% had a haemorrhagic stroke. Nearly half (29/61) were known hypertensives, 43% (26/61) had a history of alcohol consumption with 95% classified as dependent on CAGE assessment. Ten percent had a prior smoking history while 29% of the female gender had a prior history of oral contraception use. Twenty-three percent (14/61) of the young stroke patients died within 30 days of stroke onset (95% CI: 0.01, 0. 901). A history of smoking (adjusted prevalence ratio: aPR;5. 094, 95% CI: 3.712, 6. 990) and stroke severity National Institutes of Health Stroke score (NIHSS) >16; Prevalence ratio (PR) -3. 301, 95%CI: 1. 395, 7. 808) and not drinking alcohol (aPR (adjusted prevalence ratio) -7. 247, 95% CI: 4. 491, 11.696) were associated with 30- day mortality. A third of all stroke survivors were young adults. About 23. 3% died within 30 days of stroke onset. Stroke severity and a history of smoking were associated with mortality. Identifying high risk patients and early outpatient follow up may help reduce the 30-day mortality in our settings.","journal":"PLOS Global Public Health","year":2023,"id":355268,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9082,"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":578702,"name":"Abdu K Musubire","orcid":"0000-0003-2410-5344","position":1,"is_corresponding":false},{"id":999968,"name":"Peace Bagasha","orcid":"0000-0003-3337-6162","position":2,"is_corresponding":false},{"id":337202,"name":"Scovia Nalugo Mbalinda","orcid":"0000-0002-4945-130X","position":3,"is_corresponding":false},{"id":455169,"name":"Shirley M. Moore","orcid":"0000-0003-2712-6896","position":4,"is_corresponding":false},{"id":361585,"name":"Elly Katabira","orcid":"0000-0001-9951-755X","position":5,"is_corresponding":false},{"id":315573,"name":"Martha Sajatovic","orcid":"0000-0002-3073-668X","position":6,"is_corresponding":false},{"id":714008,"name":"Mark Kaddumukasa","orcid":"0000-0001-7390-7330","position":7,"is_corresponding":false},{"id":1103685,"name":"Adrian Mwota Nampogo","orcid":null,"position":0,"is_corresponding":true}],"reference_count":27,"raw_metadata":null,"created_at":"2026-07-19T01:13:16.394812Z","pmid":"37883355","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":[]}