Recent Immigrants with Inflammatory Bowel Disease Have Significant Health-Care Utilization from Preconception to Postpartum: A Population Cohort Study.

BACKGROUND: Immigrants with inflammatory bowel disease (IBD) may have increased health-care utilization during pregnancy compared to non-immigrants, though this remains to be confirmed. We aimed to characterize this between these groups. METHODS: We accessed administrative databases to identify women (age 18-55) with IBD with a singleton pregnancy between 2003-2018. Immigration status was defined as recent (< 5 years of date of conception), remote (≥ 5 years since date of conception), and none. Differences in ambulatory, emergency department (ED), hospitalization, endoscopic, and prenatal visits during 12-months preconception, pregnancy and 12-months postpartum were characterized. Region of immigration origin was ascertained. Multivariable negative binomial regression was performed for adjusted incidence rate ratios (aIRR) with 95% confidence intervals (95% CI). RESULTS: 8880 pregnancies were included, 8304 in non-immigrants, 96 in recent immigrants, 480 in remote immigrants. Compared to non-immigrants, recent immigrants had the highest rates of IBD-specific ambulatory visits during preconception (aIRR 3.06, 95% CI, 1.93-4.85), pregnancy (aIRR 2.15, 95% CI, 1.35-3.42), and postpartum (aIRR 2.21, 1.37-3.57) and the greatest rates of endoscopy visits during preconception (aIRR 2.69, 95% CI, 1.64-4.41) and postpartum (aIRR 2.01, 95% CI, 1.09-3.70). There were no differences in ED and hospitalization visits between groups though those arriving from the Americas were the most likely to be hospitalized for any reason. All immigrants with IBD were less likely to have a first trimester prenatal visit. CONCLUSION: Recent immigrants were more likely to have IBD-specific ambulatory care but less likely to receive adequate prenatal care during pregnancy.

Implementation of Multiple Marker Screening for Preterm Preeclampsia in a Single Tertiary Obstetric Centre.

OBJECTIVES: Early assessment of pregnant individuals for risk of preterm preeclampsia (PE) is possible at the 11-14 week ultrasound visit using a validated multiple marker algorithm, allowing timely use of preventative low-dose acetylsalicylic acid (LDA) in high-risk patients. With no established early screening program for preterm PE in Canada, our objectives were to assess the acceptability and operational impact of routine screening for preterm PE during the 11-14 week ultrasound visit, evaluate uptake and adherence to LDA when recommended, and assess screening performance. METHODS: A prospective implementation study of preterm PE screening among pregnant patients at the ultrasound unit of a tertiary obstetric centre in Toronto, Canada. RESULTS: A total of 1057 patients were screened, with an acceptance rate of 87.1%. First-trimester ultrasound appointment time increased by a median time of 7 minutes (Interquartile range 6-9). By 16 weeks gestation, 88.7% of high-risk patients had started LDA, with adherence of 88.7%‒94.6% from 16‒36 weeks. Satisfaction with counselling was ≥7/10 in more than 95% of patients. There were 7 cases of preterm PE (0.73%), 3 in the low-risk group (0.35%), and 4 in the high-risk group (4.1%). When accounting for LDA use, the treatment-adjusted detection rate was 78.6%. CONCLUSIONS: We demonstrate successful implementation of a validated, effective screening and prevention program for preterm PE as a first step in the implementation of a broader program adaptable for cultural, access/equity considerations, and marker availability.

Building Healthy Babies: A Mixed-Methods Needs Assessment for a Pre-Conception Program in Ontario.

OBJECTIVES: The objective of this study was to gather Ontario clinicians' and public members' views on the design of a pre-conception patient education program. METHODS: In this mixed-methods study, online surveys comprised of rank order, multiple choice, and short answer questions were completed by clinicians and public members. Semi-structured focus groups consisting of 2-6 participants each were then held via videoconference. Demographic variables and survey responses were analyzed quantitatively using descriptive and summary statistics. Descriptive thematic qualitative analysis using the constant comparative method of grounded theory was completed on each transcript to generate themes. RESULTS: A total of 168 public members and 43 clinicians in Ontario completed surveys, while 11 clinicians and 11 public members participated in the focus groups. A pre-conception program in Ontario was felt to be important. An individual appointment with a primary care provider was the favoured program format per survey responses, whereas a virtual format with an interactive component was preferred among focus group participants. Important topics to include were pre-conception health (infertility, genetic screening, folic acid), prenatal and postpartum counselling (diet, activity, substance use, prenatal care, postpartum course), and medical optimization in pregnancy (high-risk medical conditions, medications, mental health). Both groups emphasized the need to consider accommodations for marginalized populations and various cultures and languages. CONCLUSION: A standardized pre-conception patient education program is felt to be of high value by Ontario clinicians and public members. A pre-conception program may help improve obstetrical outcomes and decrease rates of major congenital anomalies in Ontario.

A Population-Based Test-Negative Matched Case-Control Analysis of SARS-CoV-2 Vaccine Effectiveness Among Pregnant People in Ontario, Canada.

OBJECTIVE: Pregnancy is a risk factor for severe SARS-CoV-2 infection, which can result in adverse pregnancy outcomes, thus making understanding vaccine effectiveness (VE) in this population important. This study aimed to assess the VE of mRNA COVID-19 vaccines against symptomatic SARS-CoV-2 infection and COVID-19-related hospitalization in pregnant people. METHODS: Population-based matched test-negative case-control study of pregnant people aged 18-49 years, of 12 or more weeks gestation in Ontario, Canada, symptomatic with possible SARS-CoV-2 infection, and having at least 1 positive (n = 1842) or negative (n = 8524) real-time polymerase chain reaction (RT-PCR) SARS-CoV-2 test between December 14, 2020, and December 31, 2021. The exposure was receipt of ≥1 dose of mRNA COVID-19 vaccine versus no vaccination. Exposure was further stratified by number and recency of doses. The primary outcome was a positive SARS-CoV-2 RT-PCR test. As a secondary outcome, VE for COVID-19-related hospitalization was assessed. RESULTS: In the primary outcome analysis, there were 1821 positive cases, matched to 1821 negative controls. The mean (SD) maternal age was 31 (5) years. When compared to those unvaccinated, receipt of ≥1 dose was associated with an estimated VE of 39% (95% CI 29%-48%) for symptomatic infection, and 85% (95% CI 72%-92%) for COVID-19 hospitalization. VE estimates demonstrated waning with increased time since last vaccination. CONCLUSIONS: mRNA COVID-19 vaccines provide protection against symptomatic COVID-19 illness and are highly effective at preventing severe illness in pregnant people. The observed effect of vaccine waning highlights the importance of booster doses to provide optimal protection for pregnant people.

Obstetrical Outcomes of Patients with Epilepsy in a Canadian Tertiary Care Center (2014-2020).

BACKGROUND: There is a paucity of data on the obstetrical outcomes of Canadian pregnant patients with epilepsy, which may differ from the average Canadian pregnancy and from other populations of pregnant patients with epilepsy. METHODS: Pregnant patients with epilepsy were identified from a prospectively collected database of patients seen at the maternal-fetal medicine obstetrics program of Mount Sinai Hospital (Toronto, Canada) between January 1, 2014, and November 20, 2020. Pregnancy, delivery, and neonatal outcome data were retrieved from this database and described using 95% binomial confidence intervals. Comparisons of obstetrical outcomes over the same period among the Canadian population average, obtained from publicly available national health data, were done using one-proportion Z-tests for nominal variables and one-sample t-tests for continuous variables. RESULTS: In total, 282 pregnancies, from 224 patients, were included, which resulted in 274 live births. Mean maternal age was 32.8 years (s.d. = 4.6; population average [µ] = 30.9; p < 0.01), and 53% were primiparous (CI95% = 49%-61%; µ = 43%; p < 0.01). The observed rates of obstetrical complications were gestational hypertension 9% (CI95%=6%-13%; µ=7%; p=0.19), gestational diabetes 5% (CI95% = 3%-8%; µ = 9%; p = 0.02), cesarean section 44% (CI95% = 38%-50%; µ = 28%; p < 0.01), postpartum hemorrhage 5% (CI95% = 3%-8%; µ = 0.5%; p < 0.01), stillbirth 1% (CI95% = 0%-2%; µ=1%; p > 0.99), and prematurity 9% (CI95% = 6%-13%; µ = 8%; p = 0.44). CONCLUSION: In this cohort of Canadian pregnant patients with epilepsy from an urban tertiary care center, observed rates of obstetrical complications were rare and no higher than in the Canadian population over the same period, with the exception of cesarean section and postpartum hemorrhage. Future prospective studies that include primary care and rural settings are needed to increase the generalizability of those results.

Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study.

BACKGROUND: Pregnant people are particularly vulnerable to SARS-CoV-2 infection and to ensuing severe illness. Predicting adverse maternal and perinatal outcomes could aid clinicians in deciding on hospital admission and early initiation of treatment in affected individuals, streamlining the triaging processes. METHODS: An international repository of 1501 SARS-CoV-2-positive cases in pregnancy was created, consisting of demographic variables, patient comorbidities, laboratory markers, respiratory parameters, and COVID-19-related symptoms. Data were filtered, preprocessed, and feature selection methods were used to obtain the optimal feature subset for training a variety of machine learning models to predict maternal or fetal/neonatal death or critical illness. RESULTS: The Random Forest model demonstrated the best performance among the trained models, correctly identifying 83.3% of the high-risk patients and 92.5% of the low-risk patients, with an overall accuracy of 89.0%, an AUC of 0.90 (95% Confidence Interval 0.83 to 0.95), and a recall, precision, and F1 score of 0.85, 0.94, and 0.89, respectively. This was achieved using a feature subset of 25 features containing patient characteristics, symptoms, clinical signs, and laboratory markers. These included maternal BMI, gravidity, parity, existence of pre-existing conditions, nicotine exposure, anti-hypertensive medication administration, fetal malformations, antenatal corticosteroid administration, presence of dyspnea, sore throat, fever, fatigue, duration of symptom phase, existence of COVID-19-related pneumonia, need for maternal oxygen administration, disease-related inpatient treatment, and lab markers including sFLT-1/PlGF ratio, platelet count, and LDH. CONCLUSIONS: We present the first COVID-19 prognostication pipeline specifically for pregnant patients while utilizing a large SARS-CoV-2 in pregnancy data repository. Our model accurately identifies those at risk of severe illness or clinical deterioration, presenting a promising tool for advancing personalized medicine in pregnant patients with COVID-19.

COVID-19 pandemic and population-level pregnancy and neonatal outcomes in general population: A living systematic review and meta-analysis (Update#2: November 20, 2021).

INTRODUCTION: Conflicting reports of increases and decreases in rates of preterm birth (PTB) and stillbirth in the general population during the coronavirus disease 2019 (COVID-19) pandemic have surfaced. The objective of our study was to conduct a living systematic review and meta-analyses of studies reporting pregnancy and neonatal outcomes by comparing the pandemic and pre-pandemic periods. MATERIAL AND METHODS: We searched the PubMed and Embase databases and reference lists of articles published up until November 20, 2021, and included English language studies that compared outcomes between the COVID-19 pandemic time period with pre-pandemic time periods. Risk of bias was assessed using the Newcastle-Ottawa scale. We conducted random-effects meta-analysis using the inverse variance method. RESULTS: Fifty-two studies with low-to-moderate risk of bias, reporting on 2 372 521 pregnancies during the pandemic period and 28 518 300 pregnancies during the pre-pandemic period, were included. There was significant reduction in unadjusted estimates of PTB (43 studies, unadjusted odds ratio [uaOR] 0.95, 95% CI 0.93-0.98), but not in adjusted estimates (five studies, adjusted OR [aOR] 0.94, 95% CI 0.74-1.19). This reduction was noted in studies from single centers/health areas (29 studies, uaOR 0.90, 95% CI 0.85-0.94) but not in regional/national studies (14 studies, uaOR 0.99, 95% CI 0.99-1.01). There was reduction in spontaneous PTB (nine studies, uaOR 0.91, 95% CI 0.88-0.94) but not in induced PTB (eight studies, uaOR 0.90, 95% CI 0.79-1.01). There was no difference in the odds of stillbirth between the pandemic and pre-pandemic time periods (32 studies, uaOR 1.07, 95% CI 0.97-1.18 and three studies, aOR 1.18, 95% CI 0.86-1.63). There was an increase in mean birthweight during the pandemic period compared with the pre-pandemic period (nine studies, mean difference 21 g, 95% CI 13-30 g). The odds of maternal mortality were increased (five studies, uaOR 1.15, 95% CI 1.05-1.26); however, only unadjusted estimates were available, and the result was mostly influenced by one study from Mexico. There was significant publication bias for the outcome of PTB. CONCLUSIONS: The COVID-19 pandemic may be associated with a reduction in PTB; however, referral bias cannot be excluded. There was no statistically significant difference in stillbirths between pandemic and pre-pandemic periods.

Coronavirus disease 2019 pandemic and pregnancy and neonatal outcomes in general population: A living systematic review and meta-analysis (updated Aug 14, 2021).

INTRODUCTION: Conflicting reports of increases and decreases in rates of preterm birth (PTB) and stillbirth in the general population during the coronavirus disease 2019 (COVID-19) pandemic have surfaced. The objective of our study was to conduct a living systematic review and meta-analyses of studies reporting pregnancy and neonatal outcomes by comparing the pandemic and pre-pandemic periods. MATERIAL AND METHODS: We searched PubMed and Embase databases, reference lists of articles published up until August 14, 2021 and included English language studies that compared outcomes between the COVID-19 pandemic time period and the pre-pandemic time periods. Risk of bias was assessed using the Newcastle-Ottawa scale. We conducted random-effects meta-analysis using the inverse variance method. RESULTS: Forty-five studies with low-to-moderate risk of bias, reporting on 1 843 665 pregnancies during the pandemic period and 23 564 552 pregnancies during the pre-pandemic period, were included. There was significant reduction in unadjusted estimates of PTB (35 studies, unadjusted odds ratio [uaOR] 0.95, 95% CI 0.92-0.98), but not in adjusted estimates (six studies, adjusted OR [aOR] 0.95, 95% CI 0.80-1.13). This reduction was noted in studies from single centers/health areas (25 studies, uaOR 0.90, 95% CI 0.86-0.96) but not in regional/national studies (10 studies, uaOR 0.99, 95% CI 0.95-1.02). There was reduction in spontaneous PTB (six studies, uaOR 0.89, 95% CI 0.81-0.96) and induced PTB (five studies, uaOR 0.89, 95% CI 0.81-0.97). There was no difference in the odds of stillbirth between the pandemic and pre-pandemic time periods (24 studies, uaOR 1.11, 95% CI 0.97-1.26 and four studies, aOR 1.06, 95% CI 0.81-1.38). There was an increase in mean birthweight during the pandemic period compared with the pre-pandemic period (six studies, mean difference 17 g, 95% CI 7-28 g). The odds of maternal mortality were increased (four studies, uaOR 1.15, 95% CI 1.05-1.26); however, only unadjusted estimates were available and the result was mostly influenced by one study from Mexico. There was significant publication bias for the outcome of PTB. CONCLUSIONS: The COVID-19 pandemic may be associated with a reduction in PTB; however, referral bias cannot be excluded. There was no statistically significant difference in stillbirth between pandemic and pre-pandemic periods.

Adapting obstetric and neonatal services during the COVID-19 pandemic: a scoping review.

BACKGROUND: The provision of care to pregnant persons and neonates must continue through pandemics. To maintain quality of care, while minimizing physical contact during the Severe Acute Respiratory Syndrome-related Coronavirus-2 (SARS-CoV2) pandemic, hospitals and international organizations issued recommendations on maternity and neonatal care delivery and restructuring of clinical and academic services. Early in the pandemic, recommendations relied on expert opinion, and offered a one-size-fits-all set of guidelines. Our aim was to examine these recommendations and provide the rationale and context to guide clinicians, administrators, educators, and researchers, on how to adapt maternity and neonatal services during the pandemic, regardless of jurisdiction. METHOD: Our initial database search used Medical subject headings and free-text search terms related to coronavirus infections, pregnancy and neonatology, and summarized relevant recommendations from international society guidelines. Subsequent targeted searches to December 30, 2020, included relevant publications in general medical and obstetric journals, and updated society recommendations. RESULTS: We identified 846 titles and abstracts, of which 105 English-language publications fulfilled eligibility criteria and were included in our study. A multidisciplinary team representing clinicians from various disciplines, academics, administrators and training program directors critically appraised the literature to collate recommendations by multiple jurisdictions, including a quaternary care Canadian hospital, to provide context and rationale for viable options. INTERPRETATION: There are different schools of thought regarding effective practices in obstetric and neonatal services. Our critical review presents the rationale to effectively modify services, based on the phase of the pandemic, the prevalence of infection in the population, and resource availability.

Preeclampsia and Severe Maternal Morbidity During the COVID-19 Pandemic: A Population-Based Cohort Study in Ontario, Canada.

OBJECTIVE: Significant changes to the delivery of obstetrical care that occurred with the onset of the COVID-19 pandemic may be associated with higher risks of adverse maternal outcomes. We evaluated preeclampsia/HELLP (hemolysis, elevated liver enzymes and low platelets) syndrome and composite severe maternal morbidity (SMM) among pregnant people who gave birth during the COVID-19 pandemic and compared these data with those of people who gave birth before the pandemic in Ontario, Canada. METHODS: This was a population-based, retrospective cohort study using linked administrative data sets from ICES. Data on pregnant people at ≥20 weeks gestation who gave birth between March 15, 2020, and September 30, 2021, were compared with those of pregnant people who gave birth within the same date range for the years 2015-2019. We used multivariable logistic regression to assess the effect of the pandemic period on the odds of preeclampsia/HELLP syndrome and composite SMM, adjusting for maternal baseline characteristics and comorbidities. RESULTS: There were no differences between the study periods in the adjusted odds ratios (aORs) for preeclampsia/HELLP syndrome among primiparous (aOR 1.00; 95% CI 0.91-1.11) and multiparous (aOR 0.94; 95% CI 0.81-1.09) patients and no differences for composite SMM (primiparous, aOR 1.00; 95% CI 0.95-1.05; multiparous, aOR 1.01; 95% CI 0.95-1.08). CONCLUSION: Adverse maternal outcomes were not higher among pregnant people who gave birth during the first 18 months of the COVID-19 pandemic in Ontario, Canada, when compared with those who gave birth before the pandemic.

Association of SARS-CoV-2 Infection During Pregnancy With Maternal and Perinatal Outcomes.

Importance: There are limited high-quality, population-level data about the effect of SARS-CoV-2 infection on pregnancy using contemporaneous comparator cohorts. Objectives: To describe maternal and perinatal outcomes associated with SARS-CoV-2 infection in pregnancy and to assess variables associated with severe disease in the pregnant population. Design, Setting, and Participants: CANCOVID-Preg is an observational surveillance program for SARS-CoV-2-affected pregnancies in Canada. This analysis presents exploratory, population-level data from 6 Canadian provinces for the period of March 1, 2020, to October 31, 2021. A total of 6012 pregnant persons with a positive SARS-CoV-2 polymerase chain reaction test result at any time in pregnancy (primarily due to symptomatic presentation) were included and compared with 2 contemporaneous groups including age-matched female individuals with SARS-CoV-2 and unaffected pregnant persons from the pandemic time period. Exposure: SARS-CoV-2 infection during pregnancy. Incident infections in pregnancy were reported to CANCOVID-Preg by participating provinces/territories. Main Outcomes and Measures: Maternal and perinatal outcomes associated with SARS-CoV-2 infection as well as risk factors for severe disease (ie, disease requiring hospitalization, admission to an intensive care unit/critical care unit, and/or oxygen therapy). Results: Among 6012 pregnant individuals with SARS-CoV-2 in Canada (median age, 31 [IQR, 28-35] years), the greatest proportion of cases were diagnosed at 28 to 37 weeks' gestation (35.7%). Non-White individuals were disproportionately represented. Being pregnant was associated with a significantly increased risk of SARS-CoV-2-related hospitalization compared with SARS-CoV-2 cases among all women aged 20 to 49 years in the general population of Canada (7.75% vs 2.93%; relative risk, 2.65 [95% CI, 2.41-2.88]) as well as an increased risk of intensive care unit/critical care unit admission (2.01% vs 0.37%; relative risk, 5.46 [95% CI, 4.50-6.53]). Increasing age, preexisting hypertension, and greater gestational age at diagnosis were significantly associated with worse maternal outcomes. The risk of preterm birth was significantly elevated among SARS-CoV-2-affected pregnancies (11.05% vs 6.76%; relative risk, 1.63 [95% CI, 1.52-1.76]), even in cases of milder disease not requiring hospitalization, compared with unaffected pregnancies during the same time period. Conclusions and Relevance: In this exploratory surveillance study conducted in Canada from March 2020 to October 2021, SARS-CoV-2 infection during pregnancy was significantly associated with increased risk of adverse maternal outcomes and preterm birth.

COVID-19 pandemic and population-level pregnancy and neonatal outcomes: a living systematic review and meta-analysis.

INTRODUCTION: Conflicting reports of increases and decreases in rates of preterm birth (PTB) and stillbirth in the general population during the COVID-19 pandemic have surfaced. The objective of our study was to conduct a living systematic review and meta-analyses of studies reporting pregnancy and neonatal outcomes by comparing the pandemic and pre-pandemic periods. MATERIAL AND METHODS: We searched PubMed and Embase databases, reference lists of articles published up until 14 May 2021 and included English language studies that compared outcomes between the COVID-19 pandemic time period and pre-pandemic time periods. Risk of bias was assessed using the Newcastle-Ottawa scale. We conducted random-effects meta-analysis using the inverse variance method. RESULTS: Thirty-seven studies with low-to-moderate risk of bias, reporting on 1 677 858 pregnancies during the pandemic period and 21 028 650 pregnancies during the pre-pandemic period, were included. There was a significant reduction in unadjusted estimates of PTB (28 studies, unadjusted odds ratio [uaOR] 0.94, 95% confidence [CI] 0.91-0.98) but not in adjusted estimates (six studies, adjusted OR [aOR] 0.95, 95% CI 0.80-1.13). The reduction was noted in studies from single centers/health areas (uaOR 0.90, 95% CI 0.86-0.94) but not in regional/national studies (uaOR 0.99, 95% CI 0.95-1.03). There was reduction in spontaneous PTB (five studies, uaOR 0.89, 95% CI 0.82-0.98) and induced PTB (four studies, uaOR 0.90, 95% CI 0.81-1.00). There was no reduction in PTB when stratified by gestational age <34, <32 or <28 weeks. There was no difference in stillbirths between the pandemic and pre-pandemic time periods (21 studies, uaOR 1.08, 95% CI 0.94-1.23; four studies, aOR 1.06, 95% CI 0.81-1.38). There was an increase in birthweight (six studies, mean difference 17 g, 95% CI 7-28 g) during the pandemic period. There was an increase in maternal mortality (four studies, uaOR 1.15, 95% CI 1.05-1.26), which was mostly influenced by one study from Mexico. There was significant publication bias for the outcome of PTB. CONCLUSIONS: The COVID-19 pandemic time period may be associated with a reduction in PTB; however, referral bias cannot be excluded. There was no difference in stillbirth between the pandemic and pre-pandemic period.

Do Maternal Pharmacogenetics Impact the Neonatal Abstinence Syndrome Following In Utero Exposure to Antidepressant Medications?

OBJECTIVE: Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) are the most commonly used medications for mood and anxiety disorders in women. Many women need to continue or initiate these medications during pregnancy, but there is concern about potential withdrawal effects in the newborn, referred to as neonatal abstinence syndrome (NAS). The reason why some infants remain asymptomatic while others are affected has not been elucidated. The objective of this study was to examine whether genetic differences in maternal drug metabolism influence the incidence of NAS. METHODS: Women who took Selective serotonin reuptake inhibitors s/SNRIs during pregnancy were recruited from obstetrical clinics. DNA was extracted from saliva samples for genetic analyses of cytochrome P450 (CYP) enzyme polymorphisms. Delivery and NAS data were collected from electronic medical records. RESULTS: Ninety-five women participated. The overall NAS rate was 16.2%. Mild NAS was seen in 13.8% of neonates and severe NAS, in 2%. One-quarter (25%) of the neonates with mild withdrawal symptoms were born to mothers with polymorphisms associated with slower metabolism of their particular antidepressant, but this association was not statistically significant. CONCLUSION: Importantly, the overall rate of NAS in our study was lower than previously reported. Maternal CYP polymorphisms did not affect the rate of NAS in neonates exposed to SSRIs/SNRIs in utero. This study lends added assurance to patients requiring SSRIs or SNRIs during pregnancy.

Promoting positive maternal, newborn, and child health behaviors through a group-based health education and microfinance program: a prospective matched cohort study in western Kenya.

BACKGROUND: Chamas for Change (Chamas) is a group-based health education and microfinance program for pregnant and postpartum women that aims to address inequities contributing to high rates of maternal and infant mortality in rural western Kenya. In this prospective matched cohort study, we evaluated the association between Chamas participation and facility-based delivery. We additionally explored the effect of participation on promoting other positive maternal, newborn and child health (MNCH) behaviors. METHODS: We prospectively compared outcomes between a cohort of Chamas participants and controls matched for age, parity, and prenatal care location. Between October-December 2012, government-sponsored community health volunteers (CHV) recruited pregnant women attending their first antenatal care (ANC) visits at rural health facilities in Busia County to participate in Chamas. Women enrolled in Chamas agreed to attend group-based health education and microfinance sessions for one year; controls received the standard of care. We used descriptive analyses, multivariable logistic regression models, and random effect models to compare outcomes across cohorts 12 months following enrollment, with α set to 0.05. RESULTS: Compared to controls (n = 115), a significantly higher proportion of Chamas participants (n = 211) delivered in a health facility (84.4% vs. 50.4%, p < 0.001), attended at least four ANC visits (64.0% vs. 37.4%, p < 0·001), exclusively breastfed to six months (82.0% vs. 47.0%, p < 0·001), and received a CHV home visit within 48 h postpartum (75.8% vs. 38.3%, p < 0·001). In multivariable models, Chamas participants were over five times as likely as controls to deliver in a health facility (OR 5.49, 95% CI 3.12-9.64, p < 0.001). Though not significant, Chamas participants experienced a lower proportion of stillbirths (0.9% vs. 5.2%), miscarriages (5.2% vs. 7.8%), infant deaths (2.8% vs. 3.4%), and maternal deaths (0.9% vs. 1.7%) compared to controls. CONCLUSIONS: Chamas participation was associated with increased odds of facility-based delivery compared to the standard of care in rural western Kenya. Larger proportions of program participants also practiced other positive MNCH behaviors. Our findings demonstrate Chamas' potential to achieve population-level MNCH benefits; however, a larger study is needed to validate this observed effect. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03188250 (retrospectively registered 31 May 2017).

Wound Disruption Following Caesarean Delivery in Women With Class III Obesity: A Retrospective Observational Study.

BACKGROUND: This study sought to identify risk factors associated with wound disruption following Caesarean section (CS) in women with class III obesity and to determine the value of individualized perioperative care plans in reducing its incidence. METHODS: The study included women with class III obesity who underwent CS after 24 weeks of gestation at Mount Sinai Hospital, Toronto, Ontario between 2011 and 2015 and collected data on demographics, clinical history, and perioperative details. Multivariable logistic regression analysis was performed to identify factors likely to contribute to a higher incidence of wound disruption (level of evidence II-3B). RESULTS: Of the 334 identified cases, in women with a mean BMI of 48.20 ± 7.52 kg/m2, there were 60 cases of wound disruption (18%). The most common perioperative interventions involved Pfannenstiel skin incisions (75.6%), subcutaneous tissue closure (65.4%), use of pressure dressings (65%), and thromboprophylaxis (71.8%). On bivariable analysis, surgical time >1 hour (24.2% vs. 13.5%; OR 2.03; P = 0.017) and the use of thromboprophylaxis (20.1% vs. 10.6%; OR 2.22, P = 0.031) were associated with increased wound disruption, but these associations were attenuated on multivariable regression analysis. CONCLUSIONS: No single risk factor or perioperative intervention was independently associated with wound disruption. However, the use of individualized perioperative care plans resulted in fewer wound disruptions in our cohort when compared with published literature.

Predicting Intrauterine Transfusion Interval and Perinatal Outcomes in Alloimmunized Pregnancies: Time-to-Event Survival Analysis.

BACKGROUND: The risk factors determining the frequency of intrauterine transfusions (IUTs) for severely affected red blood cell alloimmunized singleton pregnancies are not well known. OBJECTIVE: To assess factors associated with IUT frequency and adverse pregnancy outcomes in transfused pregnancies. METHODS: Retrospective cohort analysis of 246 consecutive cases between 1991 and 2014. Time-to-event survival analysis for repeated events was used to evaluate risk of subsequent IUT. Multivariable logistic regression assessed odds of a composite adverse pregnancy outcome (intrauterine fetal death, termination of pregnancy, neonatal death, preterm birth <34 weeks' gestation). RESULTS: Full information was available on232 cases (94.3%) and 716 IUTs. Fetal hydrops was associated with increased frequency (hazard ratio [HR] 1.29 [95% CIs 1.15-1.47, p < 0.001]) while higher fetal hemoglobin (Hb) pre-IUT (HR) 0.99 (95% CI 0.99-1.00, p = 0.021) and post-IUT (HR 0.99 [95% CI 0.99-1.00] p = 0.042), and higher transfused blood volume (HR 0.98 [95% CI 0.97-0.99] p < 0.001) were associated with reduced IUT frequency. Adverse pregnancy outcomes were more likely with lower gestational age (GA) at initial IUT. Antibody type was not associated with IUT frequency or adverse pregnancy outcomes. CONCLUSIONS: Hydrops is associated with increased IUT frequency while lower GA at initial IUT is associated with higher adverse pregnancy outcomes in alloimmunized pregnancies.Higher transfused blood volumes, pre- and post-IUT Hb are associated with lower IUT frequency.

Video-Based Teaching in Patient and Instrument Selection for Operative Vaginal Deliveries.

OBJECTIVE: Worldwide, the rate of operative vaginal deliveries has decreased, and as a result trainees are lacking exposure and training. The aim of this study was to determine whether a video-based masterclass can improve trainees' confidence, comfort, and knowledge in performing second stage labour assessments and selecting appropriate patients and instruments for operative vaginal deliveries. METHODS: Current University of Toronto obstetrics and gynaecology residents were invited to participate. The intervention included two videos on second stage assessment: (1) selecting the appropriate patient and (2) selecting the appropriate instrument for an operative vaginal delivery. Trainees' comfort and confidence were assessed pre- and post-intervention. A focus group was conducted that assessed trainees' knowledge acquisition. Descriptive thematic analysis was performed, and common themes were extracted. RESULTS: On average, residents have performed more vacuum deliveries than forceps deliveries as primary operators (26.4 vs. 7.9). Following the video intervention, there was a statistically significant improvement (P ≤ 0.05) in trainees' comfort in the following areas: (1) understanding the maternal pelvis, (2) choosing instruments, (3) choosing forceps, (4) deciding the location of delivery, (5) identifying favourable clinical factors, and (6) identifying poor prognostic clinical factors. There was no difference in trainees' self-confidence. Major themes from focus group data included new knowledge gained on second stage assessment techniques, new approaches to existing knowledge, and the multiple challenges and barriers that exist to learning. CONCLUSION: Video-based education on second stage labour assessment and operative vaginal delivery improves trainees' comfort and serves as a valuable complementary tool to clinical learning.