ORIGINAL RESEARCH article
Front. Neurosci.
Sec. Neuroendocrine Science
Volume 19 - 2025 | doi: 10.3389/fnins.2025.1609156
This article is part of the Research TopicExploring Neuroendocrine Mechanisms in Psychiatric and Metabolic ComorbiditiesView all 4 articles
A Nomogram Model Incorporating Blood Biomarkers Predicts 3-Week Functional Outcomes in Stroke Patients
Provisionally accepted
- 1Beijing Huilongguan Hospital, Peking University, Beijing, China
- 2Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- 3Qingdao Mental Health Center, Qingdao, Shandong Province, China
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Objective: Accurate prediction of functional outcomes of stroke remains clinically challenging. The present study was designed to identify baseline biomarkers in demographic, clinical data, and blood biomarkers to predict 3-week outcomes in stroke patients.A prospective cohort of two hundred patients with stroke was recruited at the hospital and followed for 3 weeks. We applied the Barthel Index (BI) to measure the activities of daily living functions in stroke patients. The good outcome or poor outcome groups were classified based on the BI scores. A logistic regression analysis was performed to identify independent predictors, which were subsequently integrated into a nomogram. Discrimination and calibration values of the nomogram were analyzed, and its utility was assessed using decision curve analysis.Results: Four blood biomarkers, including PT (OR=1.45, 95% CI: 1.05-2.12), FIB (OR= 1.49, 95% CI: 1.14-2.00), RBG (OR= 1.20, 95% CI: 1.03-1.40), and UA (OR= 1.00, 95% CI: 0.99-1.00) were independent predictors of the 3-week functional outcomes after a stroke. The nomogram incorporating these biomarkers demonstrated moderate discriminative ability (AUC values= 0.714, 95%CI: 0.641-0.786), with satisfactory calibration and positive net benefit on DCA across clinically relevant threshold probabilities.We developed a pragmatic nomogram integrating readily available blood biomarkers to predict 3-week functional outcomes in stroke patients. While validation in larger cohorts is warranted, our findings provide new evidence in early risk stratification and personalized rehabilitation planning, potentially improving post-stroke care efficiency.
Keywords: Stroke, Activities of Daily Living, nomogram, biomarkers, prediction
Received: 10 Apr 2025; Accepted: 30 Apr 2025.
Copyright: © 2025 Xiu, Ye, Ding, Gao, Zhou and Xia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Meihong Xiu, Beijing Huilongguan Hospital, Peking University, Beijing, China
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