Lihua Huang, Min Xiao, Xiaoling Huang, Jun Wu, Jiao Luo, Fuxing Li, Wei Gu
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LASSO-Logistic regression was used to screen risk factors and develop a nomogram model.</p><p><strong>Results: </strong>After 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 (<i>p</i> < 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 (<i>p</i> < 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 (χ<sup>2</sup>=8.51, <i>p</i> = 0.39).</p><p><strong>Conclusion: </strong>Patients 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.</p>","PeriodicalId":93874,"journal":{"name":"Annals of medicine","volume":"57 1","pages":"2453081"},"PeriodicalIF":0.0000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748856/pdf/","citationCount":"0","resultStr":"{\"title\":\"Analysis of clinical characteristics of hemorrhagic fever with renal syndrome with acute pancreatitis: a retrospective study.\",\"authors\":\"Lihua Huang, Min Xiao, Xiaoling Huang, Jun Wu, Jiao Luo, Fuxing Li, Wei Gu\",\"doi\":\"10.1080/07853890.2025.2453081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This 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.</p><p><strong>Methods: </strong>Data 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 (<i>n</i> = 34) and HFRS without AP groups (<i>n</i> = 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.</p><p><strong>Results: </strong>After 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 (<i>p</i> < 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 (<i>p</i> < 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 (χ<sup>2</sup>=8.51, <i>p</i> = 0.39).</p><p><strong>Conclusion: </strong>Patients 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.</p>\",\"PeriodicalId\":93874,\"journal\":{\"name\":\"Annals of medicine\",\"volume\":\"57 1\",\"pages\":\"2453081\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748856/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07853890.2025.2453081\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07853890.2025.2453081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在分析肾综合征出血热(HFRS)合并急性胰腺炎(AP)对患者严重程度及预后的影响,筛选HFRS合并AP的危险因素,并建立nomogram模型。方法:收集大理大学第一附属医院和大理州人民医院2013-2023年HFRS患者资料。患者分为HFRS合并AP组(n = 34)和HFRS无AP组(n = 356)。倾向评分匹配(PSM)和logistic回归分析AP对HFRS严重程度和短期预后的影响。采用LASSO-Logistic回归筛选危险因素并建立nomogram模型。结果:经PSM治疗后,合并AP的HFRS患者的持续肾替代治疗(CRRT)和/或机械通气使用率、ICU住院率和30天死亡率均高于未合并AP的患者(p =8.51, p = 0.39)。结论:HFRS合并AP患者病情严重程度较高,预后较差。吸烟、铁蛋白和白细胞水平升高、纤维蛋白原和血小板水平降低更容易发生AP。
Analysis of clinical characteristics of hemorrhagic fever with renal syndrome with acute pancreatitis: a retrospective study.
Objective: This 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.
Methods: Data 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.
Results: After 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 (χ2=8.51, p = 0.39).
Conclusion: Patients 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.