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The current study retrospectively recruited patients who were admitted for SFTS from January 1, 2011 to January 1, 2024 at six medical centers. Two hundred and eighty\u2010two patients with SFTS who met the study protocol were finally enrolled in this study. Sixty patients suffered in\u2010hospital death during hospitalization, with a mortality rate of 21.3%. After adjustment of multiple models, GNRI remained a significant predictor of in\u2010hospital death, either examining HR by evaluating 1\u2010unit decrease of GNRI or by taking the higher median of GNRI as reference (all <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). GNRI displayed a moderate\u2010to\u2010high strength in predicting in\u2010hospital death, with an area under the receiver operating characteristic curve (AUC) of 0.791 [95% confidence interval (CI) 0.725\u20130.857, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001]. The addition of GNRI to a former established model exhibited significant improvement in the predictive value for in\u2010hospital death. GNRI, an important indicator simply calculated from ALB and BMI, is significantly and independently related to the risk of in\u2010hospital death in patients with SFTS.<\/jats:p>","DOI":"10.1002\/jmv.70252","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T11:18:46Z","timestamp":1739877526000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Geriatric Nutritional Risk Index Plays Important Role in Predicting In\u2010Hospital Mortality in Patients With Severe Fever With Thrombocytopenia Syndrome: A Multi\u2010Center Observational Study"],"prefix":"10.1002","volume":"97","author":[{"given":"Tingyu","family":"Zhang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing 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