ArticleIndian journal of anaesthesia2022
Predictors of peri-operative cardiac events and development of a scoring tool for patients with chronic kidney disease undergoing non-cardiac surgeries: A prospective observational multicentre study.
Article in Indian journal of anaesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 5 citations in OpenAlex.
- Beyond the abdomen: an interpretable machine learning model for predicting postoperative ileus in non-abdominal surgery.Frontiers in physiology · 2026Article
- Ethnicity in Anaesthesia research: Time to search our own backyards!Indian journal of anaesthesia · 2022Article
- One nation, one roof, one set of preoperative investigations……The guidelines overcoming a diverse demography!Indian journal of anaesthesia · 2022Article
- Striving towards excellence in research on biomarkers.Indian journal of anaesthesia · 2022Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
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Abstract
Background and Aims: Cardiovascular diseases are the leading causes of morbidity and mortality in chronic kidney disease (CKD) patients. Our aim was to derive predictors of cardiac morbidity, mortality, cardiac complications and to develop/validate a scoring tool in patients with CKD undergoing non-cardiac surgery. Methods: A prospective observational multicentre study was done on 770 patients with CKD. The primary outcome ("Event") was one or more than one of sudden cardiac death, pulmonary oedema, acute coronary syndrome, arrhythmia and 30-day mortality. Secondary outcome was hypertension and hypotension. Predictors of cardiac risk were identified. A scoring tool was developed on the 2018 dataset and was validated on the 2019 dataset. Results: The overall incidence of cardiac events was 290 (37.66%) whereas the incidence of major adverse cardiac and cerebrovascular events was 15.04%. Mortality due to cardiac cause was 13 (1.68%). On multivariate regression analysis, seven perioperative variables had significant association with increased risk of events: age > 65 years ( Conclusion: This risk scoring tool based on preoperative variables will help to predict the risk of events in high-risk CKD patients undergoing non-cardiac surgery. This will help in better counselling and optimisation.
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