1. 原发性肝癌干预前并发肺部感染风险预测模型的 建立与验证.
- Author
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王远珍, 魏红艳, 常丽仙, 张映媛, 刘春云, and 刘立
- Abstract
Objective To analyze the influencing factors of pulmonary infection in patients with primary liver cancer (PHC) before intervention, and establish a nomogram risk prediction model to verify it. Methods A total of 1 635 patients with PHC diagnosed and hospitalized for the first time were selected and divided into the infected group (197 cases) and the non-infected group (1 438 cases) according to whether they had pulmonary infection. General data such as body mass index (BMI), chronic hepatitis B (CHB), chronic hepatitis C (CHC), Barcelona stage (BCLC), white blood cells (WBC), neutrophils (NEU), hemoglobin (Hb) and other blood routine indicators were collected. Total protein (TP), prealbumin (PA), aspartate aminotransferase (AST), gamma glutamylaminotransferase (GGT), alkaline phospholipase (ALP), abnormal prothrombin (PIVKA- Ⅱ), alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), procalcitonin (PCT), hypersensitive C-reactive protein (hs-CRP), cholinesterase (ChE), total cholesterol (TC) and other blood biochemical indicators, CD3 cell count (CD3+ ), CD4 cell count (CD4+ ), CD4/CD8 ratio (CD4+ /CD8+ ), CD19 cell count (CD19+ ), interleukin (IL)-2, interferon (IFN)-α, tumor necrosis factor (TNF) - α and other cytokines were also collected. Univariate analysis and Lasso regression were used to screen variables, and binary Logistic regression analysis was used to determine risk factors for pulmonary infection in PHC patients before intervention. The risk prediction model was established and evaluated. Results Compared with the noninfected group, age, smoking rate, CHC, pleural effusion, gastrointestinal hemorrhage, Child-Pugh grade C, BCLC Phase A /C /D ratio, WBC, NEU, AST, GGT, ALP, PIVKA-Ⅱ, AFP, CEA, PCT, hs-CRP, IL-2, IL-5, IL-6, IL-8, IL-10, IL-12, IFN-γ and TNF-α levels were higher in the infected group, and levels of BMI, CHB ratio, Hb, TP, PA, ChE, TC, CD3+, CD4+, CD4+ /CD8+, CD19+ and IFN-α were lower (P < 0.05). Lasso regression and binary Logistic regression analysis showed that pleural effusion, gastrointestinal hemorrhage, higher level of age, WBC, Hb and lower level of TP were independent risk factors for pulmonary infection in patients with PHC before intervention. The area under receiver operating curve (ROC) of the established nomogram model was 0.700(95%CI: 0.659-0.740), and Hosmer-Lemeshow test results showed good goodness-fit of the model. Self-sampling was repeated 1 000 times for internal verification. The consistency of the model was good. Conclusion Pleural effusion, gastrointestinal hemorrhage, higher level of age, WBC, Hb and lower level of TP are independent risk factors for pulmonary infection in PHC patients before intervention. The established nomogram prediction model can effectively evaluate the risk of pulmonary infection in PHC patients before intervention. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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