Five-year risk of all-cause death and cardiovascular events in women with gestational diabetes and hypertensive disorders of pregnancy.

BACKGROUND: . The long-term impact of gestational complications on cardiovascular outcomes in women remains a subject of debate. AIM: To assess the 5-year risk of cardiovascular events and all-cause mortality in women with gestational diabetes and hypertension. METHODS: Retrospective study utilising an health research network(TriNetX). The primary outcome was the composite risk of a cardiovascular event within 5 years with secondary outcomes being its components (all-cause death, acute heart failure, myocardial infarction, ischaemic stroke). Women were categorised into 8 different groups based on the ICD-codes for pregnancy related complications recorded 9 months before the delivery:1) gestational diabetes,2) gestational hypertension,3) gestational diabetes with gestational hypertension,4) gestational diabetes with gestational hypertension without pre-eclampsia or eclampsia,5) gestational diabetes with pre-eclampsia or eclampsia,6) gestational hypertension without pre-eclampsia or eclampsia,7) pre-eclampsia or eclampsia,and 8) no gestational complications. Cox-regression analyses were used to produce hazard ratios (HRs) and 95 % confidence intervals (CI) before and after propensity score matching (PSM). RESULTS: We identified, 24,402 women with gestational diabetes and gestational hypertension and 920,478 without gestational complications. After PSM, compared to women without pregnancy complications, women with gestational diabetes and gestational hypertension had a higher 5-year risk of composite outcome(HR 2.25,95 %CI 2.02-2.51), all-cause death(HR 1.64,95 %CI 1.31-2.06), acute heart failure(HR 2.06,95 %CI 1.69-2.52), myocardial infarction(HR 2.46,95 %CI 1.93-3.14), and ischemic stroke(HR 2.37,95 %CI 2.06-2.74). Women who experienced pre-eclampsia or eclampsia showed the highest risk of primary and secondary outcomes. CONCLUSIONS: Gestational complications are associated with worse long-term cardiovascular outcomes. There is a clear call to action required to improve the longitudinal management of gestational complications to improve women's long-term health.

Efficacy of the Gulu University Reproductive Health Simulation Training for final year medical students and interns: a before-and-after study.

Background: Reproductive health emergencies, such as postpartum hemorrhage, contribute significantly to maternal and neonatal morbidity and mortality in Uganda due to knowledge and skills gaps. Medical interns, intern midwives, and nurses are crucial as frontline healthcare workers in responding to these emergencies. Our proposed hands-on strategy involves comprehensive simulation-based training (SBT) to equip these healthcare workers with the essential knowledge to manage common reproductive health emergencies and procedures in the country. Objectives: The study aimed to assess the effectiveness of comprehensive SBT in improving the knowledge of interns and fifth-year medical students on reproductive health emergencies and procedures at Gulu University and its Teaching Hospitals in Uganda. Design: A before-and-after study. Methods: A 4-day SBT was conducted for fifth-year medical students and interns (nurses, midwives, and doctors) at Gulu University Teaching Hospitals, focusing on reproductive health emergencies. Pre- and post-tests with 40 multiple-choice questions were used to evaluate knowledge enhancement, the scores were summarized as medians and interquartile ranges. Paired sample t-tests was used to test the difference in pre- and post-test scores. Independent sample t-tests compared median post-test results between interns and students, with a p-value <0.05 considered significant. Results: A total of 153 participants were enrolled, the majority being males (78.4%, n = 120) and medical students (73.9%, n = 113). Among the 40 interns, 55% (n = 22) were doctors, 30% (n = 12) were midwives, and 15% (n = 6) were nurses. The study participants showed an increase in knowledge, with median post-test scores higher than pre-test scores for all participants [63% (interquartile ranges, IQR: 57-71%) versus 49% (42-54%), with a median difference of 14% (8-23%), p < 0.001]. Conclusion: The SBT effectively imparts key knowledge competencies to the interns and fifth-year medical students. We recommend that SBT be included as part of the course units that students should take and for continuous medical education for qualified healthcare workers in resource-limited settings.

Prediction of pre-eclampsia at St. Mary's hospital lacor, a low-resource setting in northern Uganda, a prospective cohort study.

BACKGROUND: Pre-eclampsia is the second leading cause of maternal death in Uganda. However, mothers report to the hospitals late due to health care challenges. Therefore, we developed and validated the prediction models for prenatal screening for pre-eclampsia. METHODS: This was a prospective cohort study at St. Mary's hospital lacor in Gulu city. We included 1,004 pregnant mothers screened at 16-24 weeks (using maternal history, physical examination, uterine artery Doppler indices, and blood tests), followed up, and delivered. We built models in RStudio. Because the incidence of pre-eclampsia was low (4.3%), we generated synthetic balanced data using the ROSE (Random Over and under Sampling Examples) package in RStudio by over-sampling pre-eclampsia and under-sampling non-preeclampsia. As a result, we got 383 (48.8%) and 399 (51.2%) for pre-eclampsia and non-preeclampsia, respectively. Finally, we evaluated the actual model performance against the ROSE-derived synthetic dataset using K-fold cross-validation in RStudio. RESULTS: Maternal history of pre-eclampsia (adjusted odds ratio (aOR) = 32.75, 95% confidence intervals (CI) 6.59-182.05, p = 0.000), serum alkaline phosphatase(ALP) < 98 IU/L (aOR = 7.14, 95% CI 1.76-24.45, p = 0.003), diastolic hypertension ≥ 90 mmHg (aOR = 4.90, 95% CI 1.15-18.01, p = 0.022), bilateral end diastolic notch (aOR = 4.54, 95% CI 1.65-12.20, p = 0.003) and body mass index of ≥ 26.56 kg/m2 (aOR = 3.86, 95% CI 1.25-14.15, p = 0.027) were independent risk factors for pre-eclampsia. Maternal age ≥ 35 years (aOR = 3.88, 95% CI 0.94-15.44, p = 0.056), nulliparity (aOR = 4.25, 95% CI 1.08-20.18, p = 0.051) and white blood cell count ≥ 11,000 (aOR = 8.43, 95% CI 0.92-70.62, p = 0.050) may be risk factors for pre-eclampsia, and lymphocyte count of 800 - 4000 cells/microliter (aOR = 0.29, 95% CI 0.08-1.22, p = 0.074) may be protective against pre-eclampsia. A combination of all the above variables predicted pre-eclampsia with 77.0% accuracy, 80.4% sensitivity, 73.6% specificity, and 84.9% area under the curve (AUC). CONCLUSION: The predictors of pre-eclampsia were maternal age ≥ 35 years, nulliparity, maternal history of pre-eclampsia, body mass index, diastolic pressure, white blood cell count, lymphocyte count, serum ALP and end-diastolic notch of the uterine arteries. This prediction model can predict pre-eclampsia in prenatal clinics with 77% accuracy.

Prediction of stillbirth low resource setting in Northern Uganda.

BACKGROUND: Women of Afro-Caribbean and Asian origin are more at risk of stillbirths. However, there are limited tools built for risk-prediction models for stillbirth within sub-Saharan Africa. Therefore, we examined the predictors for stillbirth in low resource setting in Northern Uganda. METHODS: Prospective cohort study at St. Mary's hospital Lacor in Northern Uganda. Using Yamane's 1967 formula for calculating sample size for cohort studies using finite population size, the required sample size was 379 mothers. We doubled the number (to > 758) to cater for loss to follow up, miscarriages, and clients opting out of the study during the follow-up period. Recruited 1,285 pregnant mothers at 16-24 weeks, excluded those with lethal congenital anomalies diagnosed on ultrasound. Their history, physical findings, blood tests and uterine artery Doppler indices were taken, and the mothers were encouraged to continue with routine prenatal care until the time for delivery. While in the delivery ward, they were followed up in labour until delivery by the research team. The primary outcome was stillbirth 24 + weeks with no signs of life. Built models in RStudio. Since the data was imbalanced with low stillbirth rate, used ROSE package to over-sample stillbirths and under-sample live-births to balance the data. We cross-validated the models with the ROSE-derived data using K (10)-fold cross-validation and obtained the area under curve (AUC) with accuracy, sensitivity and specificity. RESULTS: The incidence of stillbirth was 2.5%. Predictors of stillbirth were history of abortion (aOR = 3.07, 95% CI 1.11-8.05, p = 0.0243), bilateral end-diastolic notch (aOR = 3.51, 95% CI 1.13-9.92, p = 0.0209), personal history of preeclampsia (aOR = 5.18, 95% CI 0.60-30.66, p = 0.0916), and haemoglobin 9.5 - 12.1 g/dL (aOR = 0.33, 95% CI 0.11-0.93, p = 0.0375). The models' AUC was 75.0% with 68.1% accuracy, 69.1% sensitivity and 67.1% specificity. CONCLUSION: Risk factors for stillbirth include history of abortion and bilateral end-diastolic notch, while haemoglobin of 9.5-12.1 g/dL is protective.