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A total of 138 patients who met the criteria for viral pneumonia in hospital were selected and their data, including demographic data, comorbidities, laboratory results, CT scans, immunologic and pathogenic tests, treatment regimens, and clinical outcomes, were collected and statistically analyzed.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Forty-one patients (29.7%) developed severe or critical illness. A viral pneumonia severe risk warning model was successfully constructed, including eight parameters: age, bacterial coinfection, CD4<jats:sup>+<\/jats:sup>, CD4<jats:sup>+<\/jats:sup>\/CD8<jats:sup>+<\/jats:sup>, multiple lung lobe infiltrations, smoking, hypertension, and hospital admission days. The risk score for severe illness in patients was set at 600 points. The model had good predictive performance (AUROC\u2009=\u20090.94397), better than the original MuLBSTA score (AUROC\u2009=\u20090.8241).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>A warning system constructed based on immune function has a good warning effect on the risk of severe conversion in patients with viral pneumonia.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12890-024-03073-y","type":"journal-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T14:03:04Z","timestamp":1716991384000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting the potentially exacerbation of severe viral pneumonia in hospital by MuLBSTA score joint CD4\u2009+\u2009and CD8\u2009+T\u2009cell counts: construction and verification of risk warning model"],"prefix":"10.1186","volume":"24","author":[{"given":"Xi","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bei","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"issue":"1","key":"3073_CR1","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ccm.2016.11.013","volume":"38","author":"RD Shah","year":"2017","unstructured":"Shah RD, Wunderink RG. 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