Predictive models of individual risk of elective caesarean section complications: A systematic review
European Journal of Obstetrics & Gynecology and Reproductive Biology May 14, 2021
Ahmeidat A, Kotts WJ, McLernon DJ, et al. - Researchers conducted this systematic review to identify, synthesize and quality appraise prognostic models of maternal complications of elective caesarean section (c-section). MEDLINE, Embase, Web of Science, CINAHL and the Cochrane Library have been searched using terms relating to ‘c-section’, ‘prognostic models’ and complications like ‘infection’. There were 7,752 studies found in total; 16 full papers were reviewed, and three studies were found to be eligible, containing three prognostic models derived from hospitals in Japan, South Africa and the UK. Only a few models have been developed to predict complications from elective c-sections. Existing models for predicting blood transfusion, spinal hypotension, and postpartum haemorrhage cannot be recommended for clinical use. Future research should concentrate on identifying predictors known prior to surgery and validating the resulting models.
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