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Objective This study aimed to evaluate trends, risk factors, and outcomes associated with infections and sepsis during delivery hospitalizations in the United States. Study Design The 2000–2020 National Inpatient Sample was used for this repeated cross-sectional analysis. Delivery hospitalizations of patients aged 15 to 54 with and without infection and sepsis were identified. Common infection diagnoses during delivery hospitalizations analyzed included (i) pyelonephritis, (ii) pneumonia/influenza, (iii) endometritis, (iv) cholecystitis, (v) chorioamnionitis, and (vi) wound infection. Temporal trends in sepsis and infection during delivery hospitalizations were analyzed. The associations between sepsis and infection and common chronic health conditions including asthma, chronic hypertension, pregestational diabetes, and obesity were analyzed. The associations between clinical, demographic, and hospital characteristics, and infection and sepsis were determined with unadjusted and adjusted logistic regression models with unadjusted odds ratio (OR) and adjusted odds ratios with 95% confidence intervals as measures of association. Results An estimated 80,158,622 delivery hospitalizations were identified and included in the analysis, of which 2,766,947 (3.5%) had an infection diagnosis and 32,614 had a sepsis diagnosis (4.1 per 10,000). The most common infection diagnosis was chorioamnionitis (2.7% of deliveries) followed by endometritis (0.4%), and wound infections (0.3%). Infection and sepsis were more common in the setting of chronic health conditions. Evaluating trends in individual infection diagnoses, endometritis and wound infection decreased over the study period both for patients with and without chronic conditions, while risk for pyelonephritis and pneumonia/influenza increased. Sepsis increased over the study period for deliveries with and without chronic condition diagnoses. Risks for adverse outcomes including mortality, severe maternal morbidity, the critical care composite, and acute renal failure were all significantly increased in the presence of sepsis and infection. Conclusion Endometritis and wound infections decreased over the study period while risk for sepsis increased. Infection and sepsis were associated with chronic health conditions and accounted for a significant proportion of adverse obstetric outcomes including severe maternal morbidity. Key Points Sepsis increased over the study period for deliveries with and without chronic condition diagnoses. Endometritis and wound infection decreased over the study period. Infection and sepsis accounted for a significant proportion of adverse obstetric outcomes. [ABSTRACT FROM AUTHOR]

Objective  This study aimed to assess whether concordance with our proposed labor induction algorithm is associated with an increased rate of vaginal delivery within 24 hours. Study Design  We conducted a retrospective review of 287 induction of labors (IOLs) at a single urban, tertiary, academic medical center which took place before we created an evidence-based IOL algorithm. We then compared the IOL course to the algorithm to assess for concordance and outcomes. Patients age 18 years or over with a singleton, cephalic pregnancy of 36 6/7 to 42 0/7 weeks' gestation were included. Patients were excluded with a Bishop's score >6, contraindication to misoprostol or cervical Foley catheter, major fetal anomalies, or intrauterine fetal death. Patients with 100% concordance were compared with <100% concordant patients, and patients with ≥80% concordance were compared with <80% concordant patients. Adjusted hazard ratios (AHRs) were calculated for rate of vaginal delivery within 24 hours, our primary outcome. Competing risk's analysis was conducted for concordant versus nonconcordant groups, using vaginal delivery as the outcome of interest, with cesarean delivery (CD) as a competing event. Results  Patients with 100% concordance were more likely to have a vaginal delivery within 24 hours, n  = 66 of 77 or 85.7% versus n  = 120 of 210 or 57.1% (p  < 0.0001), with an AHR of 2.72 (1.98, 3.75, p  < 0.0001) after adjusting for delivery indication and scheduled status. Patients with 100% concordance also had shorter time from first intervention to delivery (11.9 vs. 19.4 hours). Patients with ≥80% concordance had a lower rate of CD (11/96, 11.5%) compared with those with <80% concordance (43/191 = 22.5%; p  = 0.0238). There were no differences in neonatal outcomes assessed. Conclusion  Our IOL algorithm may offer an opportunity to standardize care, improve the rate of vaginal delivery within 24 hours, shorten time to delivery, and reduce the CD rate for patients undergoing IOL. Key Points Studies on IOL have focused on individual steps. A labor induction algorithm allows for standardization. Algorithm concordance is associated with decreased time to delivery. Algorithm concordance is associated with decreased CD rate. [ABSTRACT FROM AUTHOR]

To evaluate the effectiveness of decentralizing ambulatory reproductive and intrapartum services to increase rates of antenatal care (ANC) utilization and skilled attendance at birth (SAB) in Rwanda. A prospective cohort study was implemented with one control and two intervention sites: decentralized ambulatory reproductive healthcare and decentralized intrapartum care. Multivariate logistic regression analysis was performed with primary outcome of lack of SAB and secondary outcome of ≥3 ANC visits. 536 women were entered in the study. Distance lived from delivery site significantly predicted SAB ( p = 0.007), however distance lived to ANC site did not predict ≥3 ANC visits ( p = 0.81). Neither decentralization of ambulatory reproductive healthcare ( p = 0.10) nor intrapartum care ( p = 0.40) was significantly associated with SAB. The control site had the greatest percentage of women receive ≥3 ANC visits ( p < 0.001). Receiving <3 ANC visits was associated with a 3.98 times greater odds of not having SAB ( p = 0.001). No increase in adverse outcomes was found with decentralization of ambulatory reproductive health care or intrapartum care. The factors that predict utilization of physically accessible services in rural Africa are complex. Decentralization of services may be one strategy to increase rates of SAB and ANC utilization, but selection biases may have precluded accurate analysis. Efforts to increase ANC utilization may be a worthwhile investment to increase SAB. [ABSTRACT FROM AUTHOR]