Jiang Huo MD , Shiyi Han MD , Xinyu Hao MD , Zhikang Zhou BD , Jingsheng Lou MD, PhD , Hao Li MD, PhD , Jiangbei Cao MD, PhD , Yingqun Yu MD, PhD , Weidong Mi MD, PhD , Yanhong Liu MD, PhD
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引用次数: 0
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.
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. Logistic regression and receiver operating characteristic curve analyses revealed that indicators derived from the gut microbiota and metabolites could predict POD, with an area under the curve of 0.8413 (95 % confidence interval (CI): 0.7393–0.9434).
Conclusion
This study identified four preoperative bacterial genera and four postoperative plasma metabolites associated with an increased risk of POD in elderly orthopedic patients, suggesting the potential of gut microbiota and metabolite profiles as biomarkers for improving risk prediction and guiding interventions.
期刊介绍:
The Journal of Clinical Anesthesia (JCA) addresses all aspects of anesthesia practice, including anesthetic administration, pharmacokinetics, preoperative and postoperative considerations, coexisting disease and other complicating factors, cost issues, and similar concerns anesthesiologists contend with daily. Exceptionally high standards of presentation and accuracy are maintained.
The core of the journal is original contributions on subjects relevant to clinical practice, and rigorously peer-reviewed. Highly respected international experts have joined together to form the Editorial Board, sharing their years of experience and clinical expertise. Specialized section editors cover the various subspecialties within the field. To keep your practical clinical skills current, the journal bridges the gap between the laboratory and the clinical practice of anesthesiology and critical care to clarify how new insights can improve daily practice.