Evidence map›Paper›PMID 40357521›Full record

ArticleFrontiers in psychiatry2025

Development and validation of a postoperative delirium risk prediction model for non-cardiac surgery in elderly patients.

Xu Lin, Na Tian, Yuanlong Wang, Shuhui Hua, Jian Kong, Shanling Xu, Yanan Lin, Chuan Li, Bin Wang, Yanlin Bi

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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xu LinDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, China.
Na TianDepartment of Anesthesiology, The Eighth People's Hospital of Qingdao, Qingdao, China.
Yuanlong WangThe Second School of Clinical Medicine of Binzhou Medical College, Yantai, China.
Shuhui HuaThe Second School of Clinical Medicine of Binzhou Medical College, Yantai, China.
Jian KongDepartment of Anesthesiology, Weifang Medical College, Weifang, China.
Shanling XuDepartment of Anesthesiology, Weifang Medical College, Weifang, China.
Yanan LinDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, China.
Chuan LiDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, China.
Bin Wang *Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, China.
Yanlin Bi *Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postoperative delirium (POD) is one of the common central nervous system complications in elderly patients after non-cardiac surgery. Therefore, it is necessary to develop and validate a preoperative model for POD risk prediction. Methods: This study selected 663 elderly patients undergoing non-cardiac elective surgery under general anesthesia for tracheal intubation in general surgery, from September 1 Results: A total of 663 elderly patients were enrolled in this study, and 131 (19.76%) patients developed POD. The incidence of POD in each department was not statistically significant. The predictors in the POD column line graph included age, Mini Mental State Examination (MMSE) score, history of diabetes, years of education, sleep quality index, ASA classification, duration of anesthesia and NRS score. The formula Z= 8.293 + 0.102 × age - 1.214 × MMSE + 1.285 × diabetesHistory - 0.304 × yearsOfEducation + 0.602 × PSQI + 1.893 × ASA + 0.027 × anesthesiaTime + 1.297 × NRS. Conducive to the validation group to evaluate the prediction model, the validation group AUC is 0.939 (95% CI 0.894-0.969), the sensitivity is 94.44%, and the specificity is 85.09%. The calibration curves show a good fit between the clinically predicted situation and the actual situation. Conclusion: The clinical prediction model constructed based on these independent risk factors has a good predictive performance, which can provide reference for the early screening and prevention of POD in clinical work. Trial registration: ChiCTR2000033639 Retrospectively registered (date of registration: 06/07/2020).

Indexed as

deliriumelderlynon-cardiac surgeryprediction modelrisk factors

Identifiers

PMID40357521
PMCPMC12066437

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.