Analysis of clinical characteristics of hemorrhagic fever with renal syndrome with acute pancreatitis: a retrospective study

被引:1
作者
Huang, Lihua [1 ]
Xiao, Min [2 ,3 ]
Huang, Xiaoling [3 ,4 ]
Wu, Jun [5 ]
Luo, Jiao [1 ]
Li, Fuxing [6 ]
Gu, Wei [1 ]
机构
[1] Dali Univ, Dept Infect Dis, Affiliated Hosp 1, 2 Jia Shi Bo Rd, Dali 67100, Yunnan, Peoples R China
[2] East Sichuan Hosp, Sichuan Prov Peoples Hosp, Dept Clin Lab, Dazhou, Sichuan, Peoples R China
[3] DaZhou First Peoples Hosp, Dazhou, Sichuan, Peoples R China
[4] East Sichuan Hosp, Sichuan Prov Peoples Hosp, Dept Resp Med, Dazhou, Sichuan, Peoples R China
[5] Dali Prefecture Peoples Hosp, Dept Ophthalmol, Dali, Yunnan, Peoples R China
[6] Nanchang Univ, Jiangxi Prov Key Lab Immunol & Inflammat, Jiangxi Prov Clin Res Ctr Lab Med, Dept Clin Lab,Jiangxi Med Coll,Affiliated Hosp 2, Mingde Rd 1, Nanchang 330006, Jiangxi, Peoples R China
关键词
Haemorrhagic fever with renal syndrome; acute pancreatitis; clinical characteristics; risk factors; nomogram; EXPRESSION;
D O I
10.1080/07853890.2025.2453081
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveThis research aimed to analyze the impact of hemorrhagic fever with renal syndrome (HFRS) with acute pancreatitis (AP) on the severity and prognosis of patients, screen the risk factors of HFRS with AP, and establish a nomogram model. MethodsData were collected from HFRS patients at the First Affiliated Hospital of Dali University and Dali Prefecture People's Hospital (2013-2023). Patients were divided into HFRS with AP (n = 34) and HFRS without AP groups (n = 356). Propensity Score Matching (PSM) and logistic regression analyzed the impact of AP on HFRS severity and short-term prognosis. LASSO-Logistic regression was used to screen risk factors and develop a nomogram model. ResultsAfter PSM, HFRS patients with AP had higher rates of Continuous Renal Replacement Therapy (CRRT) and/or mechanical ventilation use, , ICU admission, and 30-day mortalitycompared with those without AP (p < 0.05). Further analysis revealed that smoking (OR: 3.702), ferritin (OR: 1.002), white blood cell (OR), fibrinogen (OR: 0.463), and platelet (OR: 0.987) were risk factors for HFRS with AP (p < 0.05). A nomogram model was constructed based on these factors, to predict the risk of HFRS with AP, with an Area Under the Curve (AUC) of 0.90 (95% CI: 0.84-0.95). Additionally, the model calibration curve fit well according to the Hosmer-Lemeshow test (chi 2=8.51, p = 0.39). ConclusionPatients with HFRS with AP exhibit higher disease severity and poorer prognosis. Smoking, elevated ferritin and white blood cell levels, decreased fibrinogen and platelet levels are more susceptible to developing AP.
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页数:11
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