Predicting peripartum infection in laboring patients at high risk in Cameroon, Africa.

• Lower education level, cesarean delivery, and receipt of antibiotics per physician discretion were predictive of peripartum infection. • Cesarean remains the largest risk factor for peripartum infection among high risk laboring patients. • Strategies to identify patients at highest risk for infection are needed, in order to intervene with prophylaxis or treatment. To develop a predictive model for peripartum infection among high risk laboring patients in Cameroon, Africa. We conducted a secondary analysis of the Cameroon Antibiotic Prophylaxis Trial (NCT 3248297), a multicenter 3-arm double-blind randomized controlled trial of oral azithromycin ± amoxicillin among term pregnancies with prolonged labor or rupture of membranes in Cameroon 1/2018–5/2020. Patients with chorioamnionitis prior to randomization, study drug contraindications, or planned cesarean were excluded. The outcome of interest was a composite of maternal peripartum infection (chorioamnionitis, endometritis, sepsis by World Health Organization criteria, wound infection/abscess) diagnosed up to 6 weeks postpartum. Potential predictors were compared between patients with and without the composite outcome, and evaluated at a 0.05 alpha level. Statistically significant exposures were analyzed using multivariable regression (to generate adjusted odds ratios and 95 % confidence intervals) with backwards selection to generate a parsimonious model. Receiver operating characteristic curves with associated area under the curve assessed the model's predictive ability. A nomogram based on the final best fit multivariable model was constructed. Of 756 patients in the parent trial, 652 were analyzed: 45 (7 %) had peripartum infection. Those with infection were more likely to be nulliparous, lower education level, higher gestational age, receive antibiotics per hospital protocols, and undergo cesarean. In our best-fit multivariable model, none/primary education (vs university), cesarean birth, and antibiotic receipt per physician discretion (vs for cesarean prophylaxis) were significantly associated with increased infection risk. This model was moderately predictive (AUC = 0.75, 95 % CI 0.67–0.82). When using this 3 factor model, for a patient with a cesarean birth, receipt of antibiotics per physician discretion, and university education, the probability of peripartum infection was 35 % (95 % CI 0.11–0.73). While several variables such as parity are associated with infectious morbidity within 6 weeks among high risk laboring patients in Cameroon, only education level, antibiotic indication, and cesarean birth were independently associated, and a model including these 3 factors was moderately predictive. Validation of our findings in a larger population is warranted. [ABSTRACT FROM AUTHOR]