Predictive Value of Increased Perioperative Heart Rate for All-Cause Mortality After Cardiac Surgery: A Systematic Review and Meta-Analysis.
Shurong XuYanjuan LinLingyu LinYanchun PengLiangwan ChenPublished in: Biological research for nursing (2022)
Background : Accumulated studies have revealed that heart rates are associated with all-cause mortality in cardiac surgery patients, but the results remain controversial. This meta-analysis aimed to evaluate the predictive value of increased perioperative heart rate for all-cause mortality after cardiac surgery. Methods : We searched PubMed, Embase, Web of Science, and Cumulative Index of Nursing and Allied Health Literature (CINAHL) databases for studies from inception to October 11, 2021. Two researchers independently screened the studies. Titles, authors, publication years, and hazard ratios were extracted. We used a random-effects model to combine the HRs and 95% confidence intervals. Several subgroup analyses were conducted. Statistical significance was set at p < .05. Results : Eleven studies were included in the meta-analysis of 33,849 patients and 3166 (9.4%) deaths. The HR of higher perioperative heart rates was 2.09 (95% CI 1.53-2.86, p < .001, I 2 = 81%). The HR with a 10-bpm increase in preoperative heart rate was 1.19 (95% CI 1.11-1.26, p < .001, I 2 = 51%). Subgroup analysis showed patients with higher preoperative heart rates had an HR of 1.88 (95% CI 1.51-2.34, p < .001, I 2 = 0%), and patients with a higher postoperative heart rate had an HR of 2.29 (95% CI 1.28- 4.09, p < .0001, I 2 = 91%) compared to patients with lower postoperative heart rates. Conclusion : Increased perioperative heart rate is associated with all-cause mortality in patients undergoing cardiac surgery.
Keyphrases
- heart rate
- patients undergoing
- cardiac surgery
- heart rate variability
- case control
- blood pressure
- acute kidney injury
- systematic review
- heart failure
- healthcare
- public health
- mental health
- atrial fibrillation
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- single cell
- meta analyses
- prognostic factors
- machine learning
- big data