Open Access
Open access
volume 17 issue 1 publication number 36

Effect of sarcopenia in predicting postoperative mortality in emergency laparotomy: a systematic review and meta-analysis

Publication typeJournal Article
Publication date2022-06-25
scimago Q1
wos Q1
SJR1.607
CiteScore11.2
Impact factor5.8
ISSN17497922
Surgery
Emergency Medicine
Abstract
While emergency laparotomy has been associated with high rates of postoperative mortality and adverse events, preoperative systematic evaluation of patients may improve perioperative outcomes. However, due to the critical condition of the patient and the limited operation time, it is challenging to conduct a comprehensive evaluation. In recent years, sarcopenia is considered a health problem associated with an increased incidence of poor prognosis. This study aimed to investigate the effect of sarcopenia on 30-day mortality and postoperative adverse events in patients undergoing emergency laparotomy. We systematically searched databases including PubMed, Embase, and Cochrane for all studies comparing emergency laparotomy in patients with and without sarcopenia up to March 1, 2022. The primary outcome was of 30-day postoperative mortality. Secondary outcomes were the length of hospital stay, the incidence of adverse events, number of postoperative intensive care unit (ICU) admissions, and ICU length of stay. Study and outcome-specific risk of bias were assessed using the Quality in Prognosis Studies (QUIPS) tool. We rated the certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE). A total of 11 eligible studies were included in this study. The results showed that patients with sarcopenia had a higher risk of death 30 days after surgery (OR = 2.42, 95% CI = 1.93–3.05, P < 0.00001). More patients were admitted to ICU after surgery (OR = 1.58, 95% CI = 1.11–2.25, P = 0.01). Both the ICU length of stay (MD = 0.55, 95% CI = 0.05–1.06, P = 0.03) and hospital length of stay (MD = 2.33, 95% CI = 1.33–3.32, P < 0.00001) were longer in the sarcopenia group. The incidence of postoperative complications was also significantly higher in patients with sarcopenia (OR = 1.78, 95% CI = 1.41–2.26, P < 0.00001). In emergency laparotomy, sarcopenia was associated with increased 30-day postoperative mortality. Both the lengths of stay in the ICU and the total length of hospital stay were significantly higher than those in non-sarcopenic patients. Therefore, we concluded that sarcopenia can be used as a tool to identify preoperative high-risk patients, which can be considered to develop new postoperative risk prediction models. Registration number Registered on Prospero with the registration number of CRD42022300132.
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GOST |
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GOST Copy
Yang T. R. et al. Effect of sarcopenia in predicting postoperative mortality in emergency laparotomy: a systematic review and meta-analysis // World Journal of Emergency Surgery. 2022. Vol. 17. No. 1. 36
GOST all authors (up to 50) Copy
Yang T. R., Luo K., Deng X., Xu L., Wang R., Ji P. Effect of sarcopenia in predicting postoperative mortality in emergency laparotomy: a systematic review and meta-analysis // World Journal of Emergency Surgery. 2022. Vol. 17. No. 1. 36
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1186/s13017-022-00440-0
UR - https://doi.org/10.1186/s13017-022-00440-0
TI - Effect of sarcopenia in predicting postoperative mortality in emergency laparotomy: a systematic review and meta-analysis
T2 - World Journal of Emergency Surgery
AU - Yang, Tao Ran
AU - Luo, Kai
AU - Deng, Xiao
AU - Xu, Le
AU - Wang, Ru-Rong
AU - Ji, Peng
PY - 2022
DA - 2022/06/25
PB - Springer Nature
IS - 1
VL - 17
PMID - 35752855
SN - 1749-7922
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Yang,
author = {Tao Ran Yang and Kai Luo and Xiao Deng and Le Xu and Ru-Rong Wang and Peng Ji},
title = {Effect of sarcopenia in predicting postoperative mortality in emergency laparotomy: a systematic review and meta-analysis},
journal = {World Journal of Emergency Surgery},
year = {2022},
volume = {17},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1186/s13017-022-00440-0},
number = {1},
pages = {36},
doi = {10.1186/s13017-022-00440-0}
}