{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T21:38:50Z","timestamp":1792618730999,"version":"4.5.0"},"reference-count":39,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T00:00:00Z","timestamp":1788998400000},"content-version":"vor","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Early differentiation of severe fever with thrombocytopenia syndrome (SFTS) and hemorrhagic fever with renal syndrome (HFRS) remains difficult in endemic settings. In this single\u2010center retrospective comparative study, we analyzed admission\u2010time demographic, clinical, and laboratory data from 330 hospitalized patients with laboratory\u2010confirmed SFTS (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009220) or HFRS (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u2009110) admitted between May 2023 and November 2025. Compared with HFRS, SFTS showed an older age distribution, female predominance, more frequent neurological symptoms, and a predominantly hematologic phenotype with modest hepatic differences, whereas HFRS showed more prominent urinary manifestations and greater inflammatory and renal abnormalities. Abnormality\u2010based and normalized organ\u2010domain burden analyses supported the same phenotypic separation, with hematologic, renal, and inflammatory domains showing the clearest exploratory differences. Two differentiation models were developed as proof\u2010of\u2010concept tools using the same complete\u2010case data set and internally evaluated by full\u2010process nested cross\u2010validation. The basic and extended models achieved out\u2010of\u2010fold AUCs of 0.975 and 0.971, respectively; the paired difference was \u22120.004 (95% CI, \u22120.014 to 0.005;\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.404). Adding CRP, albumin, and LDH did not provide consistent incremental predictive value. These single\u2010center findings provide a proof\u2010of\u2010concept framework requiring independent external validation and recalibration before potential clinical application.\n                  <\/jats:p>","DOI":"10.1002\/jmv.71144","type":"journal-article","created":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T12:41:37Z","timestamp":1789044097000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Admission\u2010Time Clinicolaboratory Phenotypes for Early Differentiation of Severe Fever With Thrombocytopenia Syndrome and Hemorrhagic Fever With Renal Syndrome"],"prefix":"10.1002","volume":"98","author":[{"given":"Ruize","family":"Ma","sequence":"first","affiliation":[{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing China"},{"name":"Beijing Institute of Infectious Diseases Beijing 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Ditan Hospital Capital Medical University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhouling","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing China"},{"name":"Beijing Institute of Infectious Diseases Beijing China"},{"name":"Beijing Key Laboratory of Viral Infectious Diseases, Beijing Ditan Hospital Capital Medical University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Infectious Diseases Yantai Qishan Hospital (Yantai City Hospital for Infectious Disease) Yantai 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