In a rural Ugandan community, 2 years after distribution of long-lasting insecticide-treated bed nets, the prevalence of malaria parasitemia was high across all ages, peaking in school-aged children. Persons with well-controlled HIV infection had a lower risk of parasitemia, presumably reflecting access to HIV care.

Background: Sub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda. Methods: This is a retrospective case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths at or beyond 24 weeks or neonatal deaths within 28 days of birth. Controls were admissions that resulted in deliveries immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of type of perinatal death was also performed. Chi square, Fisher's exact, t-test, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis. Results: From January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n = 69) were macerated stillbirths, 40% (n = 76) were fresh stillbirths, and 25% (n = 47) were neonatal deaths. The rate of perinatal death among all deliveries at the institution was 35.5 per 1000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1-13.9), cesarean delivery (aOR 3.8, CI 2.3-6.4) and low birth weight (aOR 2.5, CI 1.1-5.3). Analysis by subtype of perinatal death revealed distinct associations with the aforementioned risk factors, in particular for antepartum hemorrhage, which was only associated with fresh stillbirths (aOR 6.7, CI 1.6-28.8), and low birth weight. Conclusions: The rate of perinatal death at our rural hospital site was higher than national targets, and these deaths were associated with prematurity, low birth weight, breech presentation, multiple gestation, and cesarean delivery. This data and the approach utilized to acquire it can be leveraged to inform targeted interventions to reduce the rate of stillbirths and neonatal deaths in similar low resource settings.

Background: Maternal malarial infection leads to poor perinatal outcomes, including low birth weight from preterm delivery and/or fetal growth restriction, particularly in primigravidas. In placental malaria, Plasmodium falciparuminfected red blood cells cause an inflammatory response that can interfere with maternal-fetal exchange, leading to poor growth. The type I interferon (IFN-I) pathway plays an immunomodulatory role in viral and bacterial infections, usually by suppressing inflammatory responses. However, its role in placental malaria is unknown. This study examines the cytokine responses in placental tissue from subsets of malaria-infected and uninfected women, and attempts to correlate them with particular birth outcomes. Methods: 40 whole placental biopsy samples were obtained from pregnant women at least 16 years of age recruited to a larger prospective chemoprevention trial against malaria. These were patients at Tororo District Hospital in Uganda, an area of high malaria endemicity where approximately 40% of women have evidence of malaria infection at delivery. They were regularly followed at a local clinic and monitored for fever, with blood smears performed then and at time of delivery to diagnose malaria infection. Placenta biopsies were taken for histological diagnosis of placental malaria, as well as quantitative PCR analysis of genes in the IFN-I pathway (IFN-β, IL-10 and MX-1). Parameters such as infant birth weight and gestational age were also recorded. Results: Histological analysis revealed placental malaria in 18 samples, while 22 were found to be uninfected. RT-PCR analysis showed a four-fold increase in IFN-β and IL-10 expression in multigravidas with placental malaria when compared to gravidity-matched, uninfected controls. This effect was not observed in primigravidas. Interestingly, linear regression analysis showed a positive association between IFN-β levels and higher birth weights (β = 101.2 g per log2-fold increase in IFN-β expression, p = 0.042). This association was strongest in primigravidas with placental malaria (β = 339.0, p = 0.006). Conclusions: These results demonstrate differential regulation of the IFN-I pathway in placental malaria according to gravidity, with the greatest anti-inflammatory response seen in multigravidas. The association between IFN-β levels and higher birth weight also suggests a protective role for IFN-I against fetal growth restriction in placental malaria.

Background Sub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda. Methods This is a retrospective case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths at or beyond 24 weeks or neonatal deaths within 28 days of birth. Controls were admissions that resulted in deliveries immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of type of perinatal death was also performed. Chi square, Fisher's exact, t-test, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis. Results From January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n=69) were macerated stillbirths, 40% (n=76) were fresh stillbirths, and 25% (n=47) were neonatal deaths. The rate of perinatal death among all deliveries at the institution was 35.5 per 1,000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1 – 13.9), cesarean delivery (aOR 3.8, CI 2.3 – 6.4) and low birth weight (aOR 2.5, CI 1.1-5.3). Analysis by subtype of perinatal death revealed distinct associations with the aforementioned risk factors, in particular for antepartum hemorrhage, which was only associated with fresh stillbirths (aOR 6.7, CI 1.6-28.8), and low birth weight. Conclusions The rate of perinatal death at our rural hospital site was higher than national targets, and these deaths were associated with prematurity, low birth weight, breech presentation, multiple gestation, and cesarean delivery. This data and the approach utilized to acquire it can be leveraged to inform targeted interventions to reduce the rate of stillbirths and neonatal deaths in similar low resource settings.

Background Sub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural, non-academic settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda. Methods This is a case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths or neonatal deaths within 7 days of birth. Controls were admissions immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of twin compared to singleton gestation was also performed. Chi square, Fisher's exact, T, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis. Results From January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n=69) were macerated stillbirths, 40% (n=76) were fresh stillbirths, and 25% (n=47) were neonatal deaths. The rate of perinatal death prior to discharge was 35.5 per 1,000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1 – 13.9), cesarean delivery (aOR 3.8, CI 2.3 – 6.4) and low birthweight (aOR 2.5, CI 1.1-5.3). Fresh stillbirth and neonatal deaths were more associated with nulliparity (p = 0.03), grand multiparity (p = 0.01), low birthweight (p = 0.01) and cesarean delivery (p <0.001) than macerated stillbirths. Subgroup analysis of twin pregnancies revealed that compared to singletons, twins were more likely to have a fresh stillbirth (68.4% vs 36.8%, p = 0.01). Conclusions The rate of perinatal death at a rural district hospital was higher than national rates, and the 67% of cases were fresh stillbirths or neonatal deaths. Significant risk factors for perinatal death were prematurity, breech presentation, and multiple gestation. Targeted interventions to identify these higher risk pregnancies, such as the prenatal identification of twins, may reduce the rate of perinatal death in rural settings.

regarding country of origin, time in US, insurance, education and household income. Up to 4900 additional variables were abstracted including documentation of prenatal visits (PNV), antenatal and intrapartum care & lab values. Publicly available google search trends were mined for search terms "Make America Great Again", "Mexico wall" and "Deportation" in the southern US. The time of first deviation from the mode google search popularity value for each term was ascertained (mode inflection). Perinatal data was averaged over 15 day moving windows to determine mean days from conception to 1st PNV, number of PNVs, and intrapartum nadir hemoglobin (Hgb) as a proxy for likely iron deficiency and/or PPH. Linear regression and Student's t-tests were used to determine linear trends and mean differences before and after mode inflection. RESULTS: 24,933 occurred during the study period. A mode inflection date of 7/1/2015 was extrapolated from the google search analytics (Fig 1A). Coincident with the mode inflection, there was a significant increase in days until first PNV, fewer PNVs and a decreased trend of mean Hgb nadir (Fig 1B). These observations were notably significant among gravidae of Central American and Mexican origin, but not South Americans (Fig 1C). CONCLUSION: Our findings are of likely significant public health importance, and suggest that recent political rhetoric alters timely and regular access to PNC among nearly 25,000 deliveries in Texas. We speculate that such rhetoric lends to delayed and diminished PNC in vulnerable populations, and may contribute to maternal mortality in our region. These observations are worth of future causal analysis.

Background Sub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda. Methods This is a retrospective case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths at or beyond 24 weeks or neonatal deaths within 28 days of birth. Controls were admissions that resulted in deliveries immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of type of perinatal death was also performed. Chi square, Fisher's exact, t-test, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis. Results From January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n=69) were macerated stillbirths, 40% (n=76) were fresh stillbirths, and 25% (n=47) were neonatal deaths. The rate of perinatal death among all deliveries at the institution was 35.5 per 1,000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1 – 13.9), cesarean delivery (aOR 3.8, CI 2.3 – 6.4) and low birth weight (aOR 2.5, CI 1.1-5.3). Analysis by subtype of perinatal death revealed distinct associations with the aforementioned risk factors, in particular for antepartum hemorrhage, which was only associated with fresh stillbirths (aOR 6.7, CI 1.6-28.8), and low birth weight. Conclusions The rate of perinatal death at our rural hospital site was higher than national targets, and these deaths were associated with prematurity, low birth weight, breech presentation, multiple gestation, and cesarean delivery. This data and the approach utilized to acquire it can be leveraged to inform targeted interventions to reduce the rate of stillbirths and neonatal deaths in similar low resource settings.

Background Sub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda. Methods This is a retrospective case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths at or beyond 24 weeks or neonatal deaths within 28 days of birth. Controls were admissions that resulted in deliveries immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of type of perinatal death was also performed. Chi square, Fisher's exact, t-test, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis. Results From January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n=69) were macerated stillbirths, 40% (n=76) were fresh stillbirths, and 25% (n=47) were neonatal deaths. The rate of perinatal death among all deliveries at the institution was 35.5 per 1,000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1 – 13.9), cesarean delivery (aOR 3.8, CI 2.3 – 6.4) and low birth weight (aOR 2.5, CI 1.1-5.3). Analysis by subtype of perinatal death revealed distinct associations with the aforementioned risk factors, in particular for antepartum hemorrhage, which was only associated with fresh stillbirths (aOR 6.7, CI 1.6-28.8), and low birth weight. Conclusions The rate of perinatal death at our rural hospital site was higher than national targets, and these deaths were associated with prematurity, low birth weight, breech presentation, multiple gestation, and cesarean delivery. This data and the approach can be utilized to acquire it can be leveraged to inform targeted interventions to reduce the rate of stillbirths and neonatal deaths in similar low resource settings.