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Alterations in the gut microbiome and metabolome in elderly patients with postoperative delirium: A prospective nested case-control study

Jiang Huo, Shiyi Han, X. Hao, Zhikang Zhou, J. Lou, Hao Li, Jiang-Bei Cao, Ying-Qun Yu et al.

Journal of clinical anesthesia, 2025

234 participants · 6 citations

Abstract

OBJECTIVE

To elucidate the role of gut microbiota and their metabolites, including short-chain fatty acids (SCFAs) and targeted metabolomics, in the development of postoperative delirium (POD) in elderly patients.

DESIGN

Prospective nested case-control study.

SETTING

A Chinese tertiary hospital.

PARTICIPANTS

Elderly patients underwent elective orthopedic surgery.

METHODS

Participants were assessed for POD using the 3-min Diagnostic Confusion Assessment Method (3D-CAM). Biological samples, including feces and plasma, were collected. A 1:1 propensity score matching (PSM) was conducted to match POD cases with non-POD cases. 16S ribosomal RNA (rRNA) sequencing and metabolomics analyses were performed on the matched case series. Predictive models were developed using logistic regression analysis, incorporating bacterial genera and metabolites that exhibited significant differences between the two groups as predictors.

RESULTS

Among 234 patients who were followed up, 41 were diagnosed with POD. A total of 39 cases were matched for both the POD and control groups using PSM. No significant differences were found in the α-diversity and β-diversity of preoperative gut microbiota between the two groups. However, specific bacterial genera, including Romboutsia, Bacteroides faecalis, Blautia mucilaginosa, and Eggerthella lenta, exhibited significant differences. The risk of POD was associated with higher postoperative plasma levels of propionic acid, histidine, aspartate, and ornithine.…

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 234 participants or records.

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