Key result
Planned MEPCOM study investigates preoperative oral microbiome and metabolome links to 30-day postoperative CV events.
Why the study?
Current perioperative risk scores relying on conventional clinical variables may fail to adequately capture occult cardiovascular or geriatric vulnerability in older patients undergoing major non-cardiac surgery.
Does preoperative oral microbiome and metabolome profiling predict 30-day postoperative cardiovascular adverse events in high-risk older patients undergoing non-cardiac surgery?
Cohort (n=2,100)
Yes
Does preoperative oral microbiome and metabolome profiling predict 30-day postoperative cardiovascular adverse events in high-risk older patients undergoing non-cardiac surgery?
This study protocol outlines a prospective multicenter cohort study to develop and validate a non-invasive oral microbiome-based predictive model for perioperative cardiovascular risk stratification in high-risk older patients undergoing non-cardiac surgery.
Should not yet change perioperative risk assessment; leaves open whether oral microbiome profiling improves cardiovascular event prediction in high-risk older surgical patients.
Older patients undergoing major non-cardiac surgery are particularly vulnerable to postoperative cardiovascular adverse events because of multimorbidity, reduced physiological reserve, chronic low-grade inflammation, and subclinical cardiovascular disease. Current perioperative risk scores, which rely mainly on conventional clinical variables, may not adequately capture occult cardiovascular vulnerability or geriatric vulnerability in this population. The MEPCOM study aims to investigate the association between preoperative oral microbiome and metabolome profiles and 30-day postoperative cardiovascular adverse events in high-risk older patients undergoing non-cardiac surgery, and to develop a non-invasive oral microbiome-based predictive model for perioperative cardiovascular risk stratification. This is a prospective, multicenter cohort study. We will enroll 2100 patients aged ≥ 60 years who are at high cardiovascular risk and scheduled for elective major non-cardiac surgery. Preoperative samples, including saliva, tongue coating and dental plaque, will be collected and analyzed using full-length 16S rRNA sequencing and untargeted metabolomics. Baseline clinical data, geriatric-related variables, oral health information, and perioperative characteristics will be collected, and patients will be followed up for 30 days postoperatively to record CVEs, defined as a composite endpoint including all-cause mortality, myocardial infarction, myocardial injury, stroke, heart failure, and others. Bioinformatics and integrated analyses will be conducted to explore the relationships between microbial/metabolite characteristics and CVEs. Machine learning algorithms, including random forest and LASSO regression, will be employed to construct a predictive model, with its discriminative ability, calibration, and clinical utility assessed using an independent internal validation set and an external validation cohort. The study has been approved by the Biomedical Ethics Committee of West China Hospital, Sichuan University on 9 September 2025 [Approval No. 2025 Review (1603)] as the primary ethical review authority. All participating centers will obtain approval from their respective local responsible ethics committees in compliance with relevant regulatory requirements. Written informed consent will be obtained from all participants. Results will be published in peer-reviewed international journals. Chinese Clinical Trial Registry, ChiCTR2500109657. Registered on 23 September 2025.
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Shi et al. (2026) conducted a cohort in High cardiovascular risk older patients undergoing non-cardiac surgery (n=2,100). Preoperative oral microbiome and metabolome profiles was evaluated on Composite cardiovascular endpoint within 30 days after surgery (all-cause mortality, myocardial infarction, cardiac arrest, heart failure, myocardial injury, stroke, new-onset arrhythmia). The MEPCOM study is a planned prospective multicenter cohort study that will investigate the association between preoperative oral microbiome and metabolome profiles and 30-day postoperative cardiovascular adverse events.
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