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Systematic review and meta-analysis of 90-day and 30-day mortality after liver resection in the elderly

Published:August 13, 2022DOI:https://doi.org/10.1016/j.surg.2022.05.032

      Abstract

      Background

      With the aging population worldwide, the number of elderly patients presenting for liver resection because of liver malignancies is increasing. Data on the perioperative mortality in this population are limited and contradictory. We performed a systematic review and meta-analysis to determine the mortality of elderly patients after hepatectomy.

      Methods

      Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines, we searched 3 databases to identify studies that investigated 30-day and 90-day mortality after hepatectomy for patients ≥65 years of age. We categorized the patients by age into 4 groups (≥65, ≥70, ≥75, and ≥80 years), which were analyzed separately for mortality. All analyses were conducted with IBM SPSS Statistics for Windows version 28.

      Results

      Using PubMed, Embase, and Scopus, we identified 441 articles. After study selection and quality assessment, we included 66 studies consisting of 29,998 patients in the final meta-analysis. The pooled estimates for 30-day and 90-day mortality in the ≥65, ≥70, ≥75, and ≥80 age groups years were 1.3% (95% confidence interval 0.59%–2.06%), 2.8% (95% confidence interval 1.80%–3.69%), 3.0% (95% confidence interval 1.68%–4.30%), and 1.7% (95% confidence interval 1.22%–2.20%) and 2.7% (95% confidence interval 1.45%–3.87%), 2.8% (95% confidence interval 1.49%–4.02%), 5.1% (95% confidence interval 2.76%–7.42%), and 2.4% (95% confidence interval 0.60%–4.16%), respectively.

      Conclusion

      This meta-analysis summarizes the 30-day and 90-day mortality rates after liver resection in the elderly patients. Liver resection in this population selected for surgery appears to be relatively safe. Advanced age alone may not be a sufficient exclusion criterion for surgery. These age-specific mortality data can be used to educate patients at the time of preoperative counseling.
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