Evidence map›Paper›PMID 41778037›Full record

ArticleFrontiers in medicine2026

Multimorbidity patterns are associated with postoperative delirium in older patients undergoing non-cardiac surgery: an observational study.

Xiao-Yi Hu, Di Fan, Xue-Yan Guo, Jian-Jun Yang, Mu-Huo Ji, Han-Wen Gu

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Article in Frontiers in medicine, 2026. 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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5 · Who and what money

Authors and funding

6 authors.

Xiao-Yi HuDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Di FanDepartment of Anesthesiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xue-Yan GuoDepartment of Anesthesiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jian-Jun YangDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mu-Huo JiDepartment of Anesthesiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Han-Wen GuDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity is associated with adverse outcomes among older adult surgical patients, yet its role in postoperative delirium (POD) remains unclear. In the present study, we hypothesized that distinct pattern of multimorbidity is associated with increased incidence of POD. Methods: From January 2024 to December 2024, 819 older adult patients were recruited at the Second Affiliated Hospital of Nanjing Medical University. Latent class analysis was used to identify patient subgroups based on disease composition. Mediation effect analysis explored the relationship between subgroups, Edmonton frail scale (EFS), and cognitive performance. Multinomial logistic regression model was employed to predict the subgroup to which patients with different diseases belong. Results: Three clinically distinct multimorbidity subgroups were identified. Significant differences in EFS, mini-mental state examination (MMSE), and POD were observed among subgroups ( Conclusion: We identified a specific pattern of multimorbidities significantly associated with frailty, cognitive impairment, and POD risk. The high-risk subgroup's effect on POD was partially mediated by frailty. Multinomial logistic regression model accurately predicted subgroup membership, offering a potential tool for preoperative risk stratification.

Indexed as

frailtylatent class analysismachine learningmultimorbiditypostoperative delirium

Identifiers

PMID41778037
PMCPMC12950787

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