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In Sweden, geographic differences in mortality have also been observed. The current study aimed to determine whether mortality differences persist after adjusting for differences in case\u2010mix, and to identify potential independent factors contributing to regional variations in mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a multicenter cohort study including adult patients admitted to seven hospital ICUs across three Swedish healthcare counties between March 1, 2020 and July 31, 2021. These ICUs include one university hospital, three county hospitals and three local hospitals, and cover the intensive care infrastructure for approximately one million inhabitants. Patients were assigned to the hospital of initial ICU admission, even if transferred later during the course. Patient characteristics, disease severity, respiratory support, and treatments were registered. Primary outcome was 90\u2010day mortality. A mixed\u2010effects Cox proportional hazards model was used.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seven hundred and forty seven patients were included. The unadjusted 90\u2010day mortality varied significantly, with the highest rate at 30%, and the lowest at 8.5% (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). After adjustment for baseline confounders (Charlson comorbidity index, sex, SAPS3, age, smoking status, BMI), calendar time and healthcare county (random intercept), all hospitals were significantly associated with increased 90\u2010day mortality compared with the lowest mortality hospital. Hazard ratios ranged from 2.38 to 5.06.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Among patients admitted to ICU due to COVID\u201019, we observed a difference in mortality related to the hospital of first ICU admission. This difference persisted after adjustment for calendar time, baseline confounders, and healthcare county. Potential explanations are lacking within the current study. Future studies should focus on comprehensive evaluation of both organizational and contextual determinants of mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Editorial Comment<\/jats:title>\n                    <jats:p>This analysis from 3 Swedish counties (7 hospitals) for COVID ICU cases presents factors and relations to mortality risk, including factors for first admission to university\u2010larger\u2010, or smaller hospital. An association was observed for higher risk if the first ICU admission was in a smaller hospital, though recognizing that this is a dataset coming from a small set of hospitals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/aas.70279","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T01:09:15Z","timestamp":1781485755000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["COVID\u201019 Mortality in Swedish Intensive Care Units: A Multicenter Survival Analysis"],"prefix":"10.1111","volume":"70","author":[{"given":"Gustaf","family":"Forsberg","sequence":"first","affiliation":[{"name":"Department of Cardiothoracic and Vascular Surgery Link\u00f6ping University Hospital  Link\u00f6ping Sweden"},{"name":"Department of Health, Medicine and Caring Sciences Link\u00f6ping University  Link\u00f6ping 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