{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T15:21:17Z","timestamp":1782487277236,"version":"3.54.5"},"reference-count":31,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["INQUIRY"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>\n                    Stroke is a leading cause of morbidity and disability, with limited data on in-hospital mortality from low-resource settings. This study aimed to identify predictors of in-hospital mortality among stroke patients at a tertiary care hospital in Nepal. A prospective cohort study was conducted among 120 stroke patients aged\u2009\u2265\u200918\u2009years, enrolled between November 2023 and April 2024. The primary outcome was in-hospital mortality following admission. Data was analysed using SAS version 9.4. Kaplan\u2013Meier survival analysis and Cox proportional hazards regression were employed to identify predictors of in-hospital mortality. A\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    -value\u2009&lt;\u2009.05 was considered statistically significant. The cohort comprised 68.3% ischemic and 31.7% haemorrhagic strokes, with an overall in-hospital mortality rate of 9.0%. Multivariate analysis revealed that a Glasgow Coma (GCS) score\u2009&lt;\u20098 (AHR: 12.36; 95% CI: 2.73-56.00), National Institutes of Health Stroke Scale (NIHSS) \u226512 (AHR: 14.75; 95% CI: 3.01-72.28), moderate to severe disability (mRS\u2009\u2265\u20093; AHR: 9.92; 95% CI: 1.10-89.24), hemiplegia (AHR: 6.70; 95% CI: 1.835-53.748), territorial infarcts (AHR: 26.33; 95% CI: 2.093-331.203), capsuloganglionic infarcts (AHR: 14.6; 95% CI: 1.819-160.877), presence of chronic obstructive pulmonary disease (COPD) (AHR: 2.48; 95% CI: 1.317-45.091), and alcohol use (AHR: 3.87; 95% CI: 1.014-18.478) were significant predictors of in-hospital mortality. Neurological impairment at admission, specific infarct locations, hemiplegia, COPD, and alcohol use are significant predictors of in-hospital mortality among stroke patients. These findings underscore the importance of early neurological assessment, systematic risk stratification, and targeted interventions to improve stroke outcomes in resource-constrained settings.\n                  <\/jats:p>","DOI":"10.1177\/00469580251385397","type":"journal-article","created":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T09:20:23Z","timestamp":1761988823000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Predictors of In-Hospital Mortality Among Stroke Patients at a Tertiary Care Hospital in Nepal: A Prospective Cohort Study"],"prefix":"10.1177","volume":"62","author":[{"given":"Saru","family":"Panthi","sequence":"first","affiliation":[{"name":"Department of Pharmacy, CiST College, Pokhara University, Kathmandu, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7881-2864","authenticated-orcid":false,"given":"Sabina","family":"Sankhi","sequence":"additional","affiliation":[{"name":"Department of Pharmacy, Shree College of Technology, Purbanchal University, Chitwan, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bibek","family":"Bhandari","sequence":"additional","affiliation":[{"name":"Post Consultant Physician, Dhading Hospital, Dhading Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shishir","family":"Paudel","sequence":"additional","affiliation":[{"name":"Department of Public Health, CiST College, Pokhara University, Kathmandu, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4353-382X","authenticated-orcid":false,"given":"Nirmal Raj","family":"Marasine","sequence":"additional","affiliation":[{"name":"Department of Pharmacy, CiST College, Pokhara University, Kathmandu, Nepal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,11]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(24)00369-7"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(19)30034-1"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30506-2"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-019-1439-7"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1177\/17474930241308142"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.3390\/ijms23169476"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2015.06.001"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e31822dc795"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.11648\/j.cmr.20150406.13"},{"key":"e_1_3_3_11_2","first-page":"1","article-title":"Intra-hospital mortality of stroke and its predictive factors in a reference hospital in Ouagadougou, Burkina Faso","volume":"1","author":"Labodi LD","year":"2017","unstructured":"Labodi LD, Kadri C, Valentin YN, et al Intra-hospital mortality of stroke and its predictive factors in a reference hospital in Ouagadougou, Burkina Faso. 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