- Browse by Subject
Browsing by Subject "Perinatal death"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Azithromycin to Prevent Sepsis or Death in Women Planning a Vaginal Birth(Massachusetts Medical Society, 2023) Tita, Alan T. N.; Carlo, Waldemar A.; McClure, Elizabeth M.; Mwenechanya, Musaku; Chomba, Elwyn; Hemingway-Foday, Jennifer J.; Kavi, Avinash; Metgud, Mrityunjay C.; Goudar, Shivaprasad S.; Derman, Richard; Lokangaka, Adrien; Tshefu, Antoinette; Bauserman, Melissa; Bose, Carl; Shivkumar, Poonam; Waikar, Manju; Patel, Archana; Hibberd, Patricia L.; Nyongesa, Paul; Esamai, Fabian; Ekhaguere, Osayame A.; Bucher, Sherri; Jessani, Saleem; Tikmani, Shiyam S.; Saleem, Sarah; Goldenberg, Robert L.; Billah, Sk M.; Lennox, Ruth; Haque, Rashidul; Petri, William; Figueroa, Lester; Mazariegos, Manolo; Krebs, Nancy F.; Moore, Janet L.; Nolen, Tracy L.; Koso-Thomas, Marion; A-PLUS Trial Group; Pediatrics, School of MedicineBackground: The use of azithromycin reduces maternal infection in women during unplanned cesarean delivery, but its effect on those with planned vaginal delivery is unknown. Data are needed on whether an intrapartum oral dose of azithromycin would reduce maternal and offspring sepsis or death. Methods: In this multicountry, placebo-controlled, randomized trial, we assigned women who were in labor at 28 weeks' gestation or more and who were planning a vaginal delivery to receive a single 2-g oral dose of azithromycin or placebo. The two primary outcomes were a composite of maternal sepsis or death and a composite of stillbirth or neonatal death or sepsis. During an interim analysis, the data and safety monitoring committee recommended stopping the trial for maternal benefit. Results: A total of 29,278 women underwent randomization. The incidence of maternal sepsis or death was lower in the azithromycin group than in the placebo group (1.6% vs. 2.4%), with a relative risk of 0.67 (95% confidence interval [CI], 0.56 to 0.79; P<0.001), but the incidence of stillbirth or neonatal death or sepsis was similar (10.5% vs. 10.3%), with a relative risk of 1.02 (95% CI, 0.95 to 1.09; P = 0.56). The difference in the maternal primary outcome appeared to be driven mainly by the incidence of sepsis (1.5% in the azithromycin group and 2.3% in the placebo group), with a relative risk of 0.65 (95% CI, 0.55 to 0.77); the incidence of death from any cause was 0.1% in the two groups (relative risk, 1.23; 95% CI, 0.51 to 2.97). Neonatal sepsis occurred in 9.8% and 9.6% of the infants, respectively (relative risk, 1.03; 95% CI, 0.96 to 1.10). The incidence of stillbirth was 0.4% in the two groups (relative risk, 1.06; 95% CI, 0.74 to 1.53); neonatal death within 4 weeks after birth occurred in 1.5% in both groups (relative risk, 1.03; 95% CI, 0.86 to 1.24). Azithromycin was not associated with a higher incidence in adverse events. Conclusions: Among women planning a vaginal delivery, a single oral dose of azithromycin resulted in a significantly lower risk of maternal sepsis or death than placebo but had little effect on newborn sepsis or death.Item Cost-effectiveness of low-dose aspirin for the prevention of preterm birth: a prospective study of the Global Network for Women's and Children's Health Research(Elsevier, 2023) Patterson, Jackie K.; Neuwahl, Simon; Goco, Norman; Moore, Janet; Goudar, Shivaprasad S.; Derman, Richard J.; Hoffman, Matthew; Metgud, Mrityunjay; Somannavar, Manjunath; Kavi, Avinash; Okitawutshu, Jean; Lokangaka, Adrien; Tshefu, Antoinette; Bose, Carl L.; Mwapule, Abigail; Mwenechanya, Musaku; Chomba, Elwyn; Carlo, Waldemar A.; Chicuy, Javier; Figueroa, Lester; Krebs, Nancy F.; Jessani, Saleem; Saleem, Sarah; Goldenberg, Robert L.; Kurhe, Kunal; Das, Prabir; Patel, Archana; Hibberd, Patricia L.; Achieng, Emmah; Nyongesa, Paul; Esamai, Fabian; Bucher, Sherri; Liechty, Edward A.; Bresnahan, Brian W.; Koso-Thomas, Marion; McClure, Elizabeth M.; Pediatrics, School of MedicineBackground: Premature birth is associated with an increased risk of mortality and morbidity, and strategies to prevent preterm birth are few in number and resource intensive. In 2020, the ASPIRIN trial showed the efficacy of low-dose aspirin (LDA) in nulliparous, singleton pregnancies for the prevention of preterm birth. We sought to investigate the cost-effectiveness of this therapy in low-income and middle-income countries. Methods: In this post-hoc, prospective, cost-effectiveness study, we constructed a probabilistic decision tree model to compare the benefits and costs of LDA treatment compared with standard care using primary data and published results from the ASPIRIN trial. In this analysis from a health-care sector perspective, we considered the costs and effects of LDA treatment, pregnancy outcomes, and neonatal health-care use. We did sensitivity analyses to understand the effect of the price of the LDA regimen, and the effectiveness of LDA in reducing both preterm birth and perinatal death. Findings: In model simulations, LDA was associated with 141 averted preterm births, 74 averted perinatal deaths, and 31 averted hospitalisations per 10 000 pregnancies. The reduction in hospitalisation resulted in a cost of US$248 per averted preterm birth, $471 per averted perinatal death, and $15·95 per disability-adjusted life year. Interpretation: LDA treatment in nulliparous, singleton pregnancies is a low-cost, effective treatment to reduce preterm birth and perinatal death. The low cost per disability-adjusted life year averted strengthens the evidence in support of prioritising the implementation of LDA in publicly funded health care in low-income and middle-income countries.Item Predictive Modeling for Perinatal Mortality in Resource-Limited Settings(American Medical Association, 2020-11-02) Shukla, Vivek V.; Eggleston, Barry; Ambalavanan, Namasivayam; McClure, Elizabeth M.; Mwenechanya, Musaku; Chomba, Elwyn; Bose, Carl; Bauserman, Melissa; Tshefu, Antoinette; Goudar, Shivaprasad S.; Derman, Richard J.; Garcés, Ana; Krebs, Nancy F.; Saleem, Sarah; Goldenberg, Robert L.; Patel, Archana; Hibberd, Patricia L.; Esamai, Fabian; Bucher, Sherri; Liechty, Edward A.; Koso-Thomas, Marion; Carlo, Waldemar A.; Pediatrics, School of MedicineImportance: The overwhelming majority of fetal and neonatal deaths occur in low- and middle-income countries. Fetal and neonatal risk assessment tools may be useful to predict the risk of death. Objective: To develop risk prediction models for intrapartum stillbirth and neonatal death. Design, setting, and participants: This cohort study used data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Global Network for Women's and Children's Health Research population-based vital registry, including clinical sites in South Asia (India and Pakistan), Africa (Democratic Republic of Congo, Zambia, and Kenya), and Latin America (Guatemala). A total of 502 648 pregnancies were prospectively enrolled in the registry. Exposures: Risk factors were added sequentially into the data set in 4 scenarios: (1) prenatal, (2) predelivery, (3) delivery and day 1, and (4) postdelivery through day 2. Main outcomes and measures: Data sets were randomly divided into 10 groups of 3 analysis data sets including training (60%), test (20%), and validation (20%). Conventional and advanced machine learning modeling techniques were applied to assess predictive abilities using area under the curve (AUC) for intrapartum stillbirth and neonatal mortality. Results: All prenatal and predelivery models had predictive accuracy for both intrapartum stillbirth and neonatal mortality with AUC values 0.71 or less. Five of 6 models for neonatal mortality based on delivery/day 1 and postdelivery/day 2 had increased predictive accuracy with AUC values greater than 0.80. Birth weight was the most important predictor for neonatal death in both postdelivery scenarios with independent predictive ability with AUC values of 0.78 and 0.76, respectively. The addition of 4 other top predictors increased AUC to 0.83 and 0.87 for the postdelivery scenarios, respectively. Conclusions and relevance: Models based on prenatal or predelivery data had predictive accuracy for intrapartum stillbirths and neonatal mortality of AUC values 0.71 or less. Models that incorporated delivery data had good predictive accuracy for risk of neonatal mortality. Birth weight was the most important predictor for neonatal mortality.