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This paper is in the following e-collection/theme issue:

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (134) Clinical Information and Decision Making (3985) Machine Learning (3404) Postoperative Cognitive Dysfunction (POCD) (14) Precision Medicine (456)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78495, first published .
Doctor uses stethoscope to examine elderly patient in hospital bed

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study

Authors of this article:

Gengrui Zhong1 Author Orcid Image ;   Xiaoli Huang2 Author Orcid Image ;   Congye Li1 Author Orcid Image ;   Deqiang Wang3 Author Orcid Image ;   Dingding Huang4 Author Orcid Image ;   Menghan Sun5 Author Orcid Image ;   Quanhong Zhou1 Author Orcid Image ;   Yong Guo1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zhang K, Zhang P, Chen L, Wang H, Chen W, Zhu Y, Li D, Lu W. Association of preoperative frailty and postoperative delirium with one-year mortality after surgery in older patients with hip fractures. Frontiers in Aging 2026;7 View
  2. Friedman J, Parchure P, Fu W, Cheertirala S, Timsina P, Raut G, Reina K, Joseph-Jimerson J, Mazumdar M, Freeman R, Reich D, Kia A. External Validation of a Machine Learning Model for Delirium Risk. JAMA Network Open 2026;9(11):e2642142 View