Evidence map›Paper›PMID 40434729›Full record

ArticleInternational journal of surgery (London, England)2025

Association of cardiometabolic multimorbidity with postoperative delirium and three-year mortality in patients undergoing knee/hip arthroplasty: a prospective cohort study.

Kun Wang, Aihua Zhang, Wenjie Kong, Yuanlong Wang, Yizhi Liang, Yanan Lin, Chuan Li, Jiahan Wang, Hongyan Gong, Yanlin Bi and 2 more

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kun WangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.ORCID 0009-0002-8884-295
Aihua ZhangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Wenjie KongDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Yuanlong WangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Yizhi LiangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Yanan LinDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Chuan LiDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Jiahan WangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Hongyan GongDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Yanlin BiDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.ORCID 0000-0001-8688-9733
Bin WangDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Xu LinDepartment of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPostoperative delirium (POD) is a severe and common complication. This study aimed to investigate the association of cardiometabolic multimorbidity (CMM) and their different subgroups with POD.

methodsThis prospective cohort study ultimately included 875 patient samples from the Perioperative Neurocognitive Disorder and Lifestyle Biomarkers (PNDABLE) database, collected between July 2020 and September 2021. In this study, patients were first categorized into a POD group and a non-POD group, and the demographic characteristics of the two groups were compared. Next, logistic regression models were used to analyze the association between CMM and POD, as well as between cerebrospinal fluid (CSF) biomarkers and POD. Additionally, the models examined the relationship between different CMM subtypes and the incidence of POD. Subsequently, the robustness of the results was verified by sensitivity analysis and post hoc analysis. Further, the role of CSF biomarkers in the relationship between CMM and POD was assessed using mediation analysis. Finally, CMM patients with POD were followed up for three years, and Kaplan-Meier (K-M) survival analysis was used to compare the mortality rates of different CMM subgroups in patients with POD.

resultsLogistic regression analysis showed that CMM [odds ratio: 5.062; 95% CI: 3.279-7.661; P < 0.001], T-tau, and P-tau were risk factors for POD, while Aβ42 was a protective factor. Associations between different CMM subgroups and POD varied. Sensitivity and post hoc analyses supported these findings. Mediation analysis indicated that CMM could increase the incidence of POD through the CSF T-tau (proportion: 11%, P < 0.050). A follow-up of 50 patients showed that K-M survival analysis revealed that the POD patients in the diabetes combined with coronary heart disease group had a significantly higher three-year mortality compared to other CMM subgroups ( P = 0.004).

conclusionsCMM may be a risk factor for POD, with CSF T-tau potentially playing a mediating role. These findings underscore the importance of preoperative cognitive assessment for risk stratification and suggest CSF T-tau as a potential intervention target. Future studies may further explore intervention strategies targeting CMM and CSF T-tau.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeDeliriumMultimorbidityPostoperative ComplicationsAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsBiomarkersanesthesiologycardiometabolic multimorbiditycerebrospinal fluidcohort studydeliriumneuropsychological testspostoperative delirium

Identifiers

PMID40434729
PMCPMC12165473

What Socratic holds

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LicenceCC BY-SA
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Registered trials

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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 Socratic graph.