{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T04:55:34Z","timestamp":1782276934451,"version":"3.54.5"},"reference-count":30,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"This work was supported by the key discipline of Ningbo No. 2 Hospital","award":["2023-Y06"],"award-info":[{"award-number":["2023-Y06"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Science Progress"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Sepsis is a heterogeneous syndrome, and identifying its subphenotypes may enhance clinical management. Hypothermia may be an indicator of poor outcomes in septic patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective observational study included septic patients with hypothermia identified from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Group-based trajectory modeling was used to identify temperature trajectory subphenotypes. Cox proportional hazards model, inverse probability of treatment weighting, and doubly robust estimation were used to explore the association between the subphenotypes and clinical outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 1816 patients were included in the analysis, and their 48-hour temperature trajectories were categorized into three classes. The Cox proportional hazard model revealed that compared with class 2, class 1 was associated with increased 7-day mortality (HR 1.90; 95% CI 1.18\u20133.07;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.009), whereas class 3 was associated with reduced 28-day mortality (HR 0.81; 95% CI 0.66\u20131.00;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.045). The doubly robust estimation methods yield similar results.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We identified three temperature trajectories from septic patients with hypothermia, with significant variability in clinical characteristics and outcomes. A better understanding of temperature trajectories may help with the early identification of deteriorating patients with \u201ccold sepsis.\u201d<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00368504261424390","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T06:47:47Z","timestamp":1770706067000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Temperature trajectory in septic patients with hypothermia: When the ice begins to melt\u2014A retrospective cohort study"],"prefix":"10.1177","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0651-5240","authenticated-orcid":false,"given":"Chang","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Intensive Care Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keying","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases, Beilun District People's Hospital, Ningbo, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaojun","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bixin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, 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