Clinical study on bacterial/fungal co-infections in 143 hospitalized patients with severe fever with thrombocytopenia syndrome
10.3760/cma.j.cn112866-20250212-00026
- VernacularTitle:143例发热伴血小板减少综合征住院患者合并细菌/真菌感染临床研究
- Author:
Yongyuan YAO
1
;
Nannan XU
;
Yanyan GUAN
;
Lianhui ZHAO
;
Yishan HE
;
Gang WANG
;
Sai WEN
Author Information
1. 莒县人民医院重症医学科，日照 276500
- Publication Type:Journal Article
- Keywords:
Severe fever with thrombocytopenia syndrome;
Co-infections;
Clinical characteristics;
Predictive model
- From:
Chinese Journal of Experimental and Clinical Virology
2025;39(2):236-241
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Severe fever with thrombocytopenia syndrome (SFTS), caused by the novel bunyavirus, is an emerging infectious disease with a high fatality rate. Co-infections with bacteria or fungi can exacerbate the disease. This study aimed to investigate the characteristics of co-infections in SFTS patients.Methods:A retrospective analysis was conducted on 143 SFTS patients admitted to Qilu Hospital of Shandong University and Juxian People’s Hospital from April 2021 to October 2024.Results:The result showed that 35.7% (51/143) of patients had co-infections, with 85.5% diagnosed within 48 hours of hospitalization. The co-infection group exhibited higher incidences of neurological and respiratory symptoms, lower median platelet counts, and significantly elevated levels of C-reactive protein (CRP), procalcitonin (PCT), blood urea nitrogen (BUN), creatinine (Cr), and ferritin ( P<0.01). Pathogen analysis revealed a predominance of lower respiratory tract Aspergillus infections. Co-infected patients had higher rates of ICU admission (31.4% vs 5.4%), mechanical ventilation (43.1% vs 6.5%), longer hospital stays, higher costs, and lower survival rates (74.5% vs 90.2%). The score within 6 days of disease onset (including age, neutrophil percentage, aspartate transaminase (AST), lactate dehydrogenase (LDH), and BUN) was a significant risk factor for co-infection. A predictive model combining CRP, BUN, and the composite score demonstrated superior performance (AUC=0.851). Conclusions:This study provides critical evidence for early diagnosis and identification of high-risk populations for co-infections in SFTS patients.
