ArticleJournal of inflammation research2025
Construction of a Nomogram Model Based on the Pan-Immune-Inflammation Value for Prediction of Adverse Clinical Outcomes in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: This study evaluated the predictive value of the pan-immune-inflammation value (PIV) and developed a nomogram that integrated the PIV to predict adverse clinical outcomes in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Patients and Methods: In a retrospective, single-center study, 522 patients with AECOPD were randomized 7:3 into the training and validation cohorts. Univariate and multivariate logistic regression were used to determine independent predictors of adverse clinical outcomes. After the optimal cutoff value for the PIV was determined, the training cohort was divided into the high-PIV and low-PIV groups. Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were then performed to construct and validate the nomogram. Results: The regression results identified age, serum albumin (ALB) level, partial pressure of carbon dioxide (PaCO Conclusion: Age, ALB level, PaCO
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