Prediction of the length of repeat post C-section hospital stay and comparison of perinatal outcomes in patients with ≥3 versus <3 previous C-section

Abstract

Objective: To create a model for prediction of repeat post cesarean section (CS) length of hospital stay (LOHS) in patients undergoing repeat CS. Our other aim was to compare the perinatal outcomes in patients with ≥3 versus <3 previous CS procedures.

Methods: Individual characteristics, pre-, intra- and post-operative data of 186 pregnant women who had ≥3 previous CS were compared with 195 pregnant women with <3 previous CS.

Results: Regression analyses revealed that models can be used to predict the dependents “postpartum LOHS” and “needed units of erythrocyte suspension”, both pre-operatively and intra-operatively. Patients with ≥3 previous CS procedures were older, delivered earlier and had lower Apgar 1 and Apgar 5 values than patients with <3 previous CS. The rate of elective CS operations was lower in patients with ≥3 previous CS. Pregnant women ≥3 previous CS had significantly more severe intraperitoneal adhesion (IPA) and higher rate of bladder injury.

Conclusions: Prediction models can be conducted for LOHS and other perinatal and operative parameters in patients with previous CS. Pregnancy and repeat CS, even in patients with ≥3 previous CS procedures, are both safe conditions with optimal follow-up and management.

• Cesarean section
• hospital stay length
• outcomes
• prediction

Declaration of interest

The authors report no conflict of interest.

Supplementary material available online