Development of a new definition of maternal near miss based on organ dysfunction in Latin America and the Caribbean: A prospective multicenter cohort study.

BACKGROUND: There has been debate over whether the existing World Health Organization (WHO) criteria accurately represent the severity of maternal near misses. OBJECTIVE: This study assessed the diagnostic accuracy of two WHO clinical and laboratory organ dysfunction markers for determining the best cutoff values in a Latin American setting. METHODS: A prospective multicenter cohort study was conducted in five Latin American countries. Patients with severe maternal complications were followed up from admission to discharge. Organ dysfunction was determined using clinical and laboratory data, and participants were classified according to severe maternal outcomes. This study compares the diagnostic criteria of Latin American Centre for Perinatology, Network for Adverse Maternal Outcomes (CLAP/NAMO) to WHO standards. RESULTS: Of the 698 women studied, 15.2% had severe maternal outcomes. Most measured variables showed significant differences between individuals with and without severe outcomes (all P-values <0.05). Alternative cutoff values suggested by CLAP/NAMOs include pH ≤7.40, lactate ≥2.3 mmol/L, respiratory rate ≥ 24 bpm, oxygen saturation ≤ 96%, PaO2/FiO2 ≤ 342 mmHg, platelet count ≤189 × 109 × mm3, serum creatinine ≥0.8 mg/dL, and total bilirubin ≥0.67 mg/dL. No significant differences were found when comparing the diagnostic performance of the CLAP/NAMO criteria to that of the WHO standards. CONCLUSION: The CLAP/NAMO values were comparable to the WHO maternal near-miss criteria, indicating that the WHO standards might not be superior in this population. These findings suggest that maternal near-miss thresholds can be adapted regionally, improving the identification and management of severe maternal complications in Latin America.

Thirty Years of Midwifery Education in the Rural and Diverse State of New Mexico.

The purpose of this article is to discuss the evolution of the University of New Mexico (UNM) Nurse-Midwifery Education Program, its impact on New Mexico communities, and the vision moving forward for the program in a rural and culturally diverse state. New Mexico has a rich history of community-based midwifery and the UNM Nurse-Midwifery Education Program, founded in 1991, is rooted in this tradition. Graduates are prepared to practice in rural and underserved communities, advance birth equity, and decrease perinatal health disparities. Faculty have advanced the program mission to improve the health and well-being of New Mexico families through diversifying the midwifery workforce, growing community collaboration, and engaging in research and scholarship activities aimed at promoting access to care. Program faculty recognize the critical need to address factors underpinning the rising maternal morbidity and mortality crisis, including rurality, poverty, and structural racism. These efforts have yielded positive results, with 60% of program graduates serving New Mexico communities and increasingly diverse midwifery student cohorts (70% of currently enrolled students). Efforts to support midwifery student success are bolstered through a recently awarded Health Resources and Services Administration Maternity Care Nursing Workforce Expansion grant. Through such endeavors, the program will continue to strive toward social justice and human dignity.

Design, construction, and validation of obstetric risk classification systems to predict intensive care unit admission.

INTRODUCTION: To develop and validate a support tool for healthcare providers, enabling them to make precise and critical decisions regarding intensive care unit (ICU) admissions for high-risk pregnant women, thus enhancing maternal outcomes. METHODS: This retrospective study involves secondary data analysis of information gathered from 9550 pregnant women, who had severe maternal morbidity (any unexpected complication during labor and delivery that leads to substantial short-term or long-term health issues for the mother), collected between 2009 and 2010 from the Brazilian Network for Surveillance of Severe Maternal Morbidity, encompassing 27 obstetric reference centers in Brazil. Machine-learning models, including decision trees, Random Forest, Gradient Boosting Machine (GBM), and Extreme Gradient Boosting (XGBoost), were employed to create a risk prediction tool for ICU admission. Subsequently, sensitivity analysis was conducted to compare the accuracy, predictive power, sensitivity, and specificity of these models, with differences analyzed using the Wilcoxon test. RESULTS: The XGBoost algorithm demonstrated superior efficiency, achieving an accuracy rate of 85%, sensitivity of 42%, specificity of 97%, and an area under the receiver operating characteristic curve of 86.7%. Notably, the estimated prevalence of ICU utilization by the model (11.6%) differed from the prevalence of ICU use from the study (21.52%). CONCLUSION: The developed risk engine yielded positive results, emphasizing the need to optimize intensive care bed utilization and objectively identify high-risk pregnant women requiring these services. This approach promises to enhance the effective and efficient management of pregnant women, particularly in resource-constrained regions worldwide. By streamlining ICU admissions for high-risk cases, healthcare providers can better allocate critical resources, ultimately contributing to improved maternal health outcomes.

The profile of patients with postpartum hemorrhage admitted to the obstetric intensive care: a cross-sectional study.

Objective: In Brazil, postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Data on the profile of women and risk factors associated with PPH are sparse. This study aimed to describe the profile and management of patients with PPH, and the association of risk factors for PPH with severe maternal outcomes (SMO). Methods: A cross-sectional study was conducted in Instituto de Medicina Integral Prof. Fernando Figueira (IMIP) obstetric intensive care unit (ICU) between January 2012 and March 2020, including patients who gave birth at the hospital and that were admitted with PPH to the ICU. Results: The study included 358 patients, of whom 245 (68.4%) delivered in the IMIP maternity, and 113 (31.6%) in other maternity. The mean age of the patients was 26.7 years, with up to eight years of education (46.1%) and a mean of six prenatal care. Uterine atony (72.9%) was the most common cause, 1.6% estimated blood loss, 2% calculated shock index (SI), 63.9% of patients received hemotransfusion, and 27% underwent hysterectomy. 136 cases of SMO were identified, 35.5% were classified as maternal near miss and 3.0% maternal deaths. Multiparity was associated with SMO as an antepartum risk factor (RR=1.83, 95% CI1.42-2.36). Regarding intrapartum risk factors, abruptio placentae abruption was associated with SMO (RR=2.2 95% CI1.75-2.81). Among those who had hypertension (49.6%) there was a lower risk of developing SMO. Conclusion: The principal factors associated with poor maternal outcome were being multiparous and placental abruption.

Maternal and perinatal health indicators in Brazil over a decade: assessing the impact of the COVID-19 pandemic and SARS-CoV-2 vaccination through interrupted time series analysis.

Background: Few studies have evaluated the effects of the Coronavirus disease 2019 (COVID-19) pandemic, caused by the SARS-CoV-2 virus, on maternal and perinatal health at a populational level. We investigated maternal and perinatal health indicators in Brazil, focusing on the effects of the COVID-19 pandemic, and SARS-CoV-2 vaccination campaign for pregnant women. Methods: Utilizing interrupted time series analysis (January 2013-December 2022), we examined Maternal Mortality Ratio, Perinatal Mortality Rate, Preterm Birth Rate, Cesarean Section Rate, and other five indicators. Interruptions occurred at the pandemic's onset (March 2020) and pregnant women's vaccination (July 2021). Results were expressed as percent changes on time series' level and slope. Findings: The COVID-19 onset led to immediate spikes in Maternal Mortality Ratio (33.37%) and Perinatal Mortality Rate (3.20%) (p < 0.05). From March 2020 to December 2022, Cesarean Section and Preterm Birth Rates exhibited upward trends, growing monthly at 0.13% and 0.23%, respectively (p < 0.05). Post start of SARS-CoV-2 vaccination (July 2021), Maternal Mortality Ratio (-34.10%) and Cesarean Section Rate (-1.87%) promptly declined (p < 0.05). Subsequently, we observed a monthly decrease of Maternal Mortality Ratio (-9.43%) and increase of Cesarean Section Rate (0.25%) (p < 0.05), while Perinatal Mortality Rate and Preterm Birth Rate showed a stationary pattern. Interpretation: The pandemic worsened all analyzed health indicators. Despite improvements in Maternal Mortality Ratio, following the SARS-CoV-2 vaccination campaign for pregnant women, the other indicators continued to sustain altered patterns from the pre-pandemic period. Funding: No funding.

Critical pregnancy at altitude: A look at Latin America.

Critical pregnancy at high altitudes increases morbidity and mortality from 2500 m above sea level. In addition to altitude, there are other influential factors such as social inequalities, cultural, prehospital barriers, and lack the appropriate development of healthcare infrastructure. The most frequent causes of critical pregnancy leading to admission to Intensive Care Units are pregnancy hypertensive disorders (native residents seem to be more protected), hemorrhages and infection/sepsis. In Latin America, there are 32 Intensive Care Units above 2500 m above sea level. Arterial blood gases at altitude are affected by changes in barometric pressure. The analysis of their values provides very useful information for the management of obstetric emergencies at very high altitude, especially respiratory and metabolic pathologies.

Maternal deaths among Brazilian indigenous women-Analysis from 2015 to 2021.

OBJECTIVE: This study examines maternal mortality among Brazilian indigenous women from 2015 to 2021, contrasting their causes of death with non-indigenous women. METHODS: An observational study utilizing Ministry of Health data analyzed maternal deaths' characteristics, comparing indigenous and non-indigenous groups based on death certificates and live-birth records. Variables included age, region, location, time, and cause of death. Maternal mortality ratios (MMR) were calculated with linear regression and outliers identified with Grubbs test. Prevalence ratios compared MMR and causes of death. RESULTS: Between 2015 to 2021, Brazil recorded 13 023 maternal deaths. Among these, with 205 among indigenous women (1.60% of total). Indigenous women had higher MMR (115.14/100 000), than non- indigenous women (66.92/100 000), consistently across years. Hemorrhagic causes notably contributed to the indigenous women's elevated MMR. CONCLUSION: Indigenous Brazilian women face elevated maternal mortality rates across all causes, primarily due to hemorrhage, contrasting wih national trends.

Postpartum hemorrhage in electronic health records: risk factors at admission and in-hospital occurrence.

Objective: Postpartum hemorrhage (PPH) is the leading cause of maternal death globally. Therefore, prevention strategies have been created. The study aimed to evaluate the occurrence of PPH and its risk factors after implementing a risk stratification at admission in a teaching hospital. Methods: A retrospective cohort involving a database of SISMATER® electronic medical record. Classification in low, medium, or high risk for PPH was performed through data filled out by the obstetrician-assistant. PPH frequency was calculated, compared among these groups and associated with the risk factors. Results: The prevalence of PPH was 6.8%, 131 among 1,936 women. Sixty-eight (51.9%) of them occurred in the high-risk group, 30 (22.9%) in the medium-risk and 33 (25.2%) in the low-risk group. The adjusted-odds ratio (OR) for PPH were analyzed using a confidence interval (95% CI) and was significantly higher in who presented multiple pregnancy (OR 2.88, 95% CI 1.28 to 6.49), active bleeding on admission (OR 6.12, 95% CI 1.20 to 4.65), non-cephalic presentation (OR 2.36, 95% CI 1.20 to 4.65), retained placenta (OR 9.39, 95% CI 2.90 to 30.46) and placental abruption (OR 6.95, 95% CI 2.06 to 23.48). Vaginal delivery figured out as a protective factor (OR 0.58, 95% CI 0.34 to 0.98). Conclusion: Prediction of PPH is still a challenge since its unpredictable factor arrangements. The fact that the analysis did not demonstrate a relationship between risk category and frequency of PPH could be attributable to the efficacy of the strategy: Women classified as "high-risk" received adequate medical care, consequently.

Persistent inequities in maternal mortality in Latin America and the Caribbean, 1990-2019.

BACKGROUND: Despite the resources and personnel mobilized in Latin America and the Caribbean to reduce the maternal mortality ratio (MMR, maternal deaths per 100 000 live births) in women aged 10-54 years by 75% between 2000 and 2015, the region failed to meet the Millenium Development Goals (MDGs) due to persistent barriers to access quality reproductive, maternal, and neonatal health services. METHODS: Using 1990-2019 data from the Global Burden of Disease project, we carried out a two-stepwise analysis to (a) identify the differences in the MMR temporal patterns and (b) assess its relationship with selected indicators: government health expenditure (GHE), the GHE as percentage of gross domestic product (GDP), the availability of human resources for health (HRH), the coverage of effective interventions to reduce maternal mortality, and the level of economic development of each country. FINDINGS: In the descriptive analysis, we observed a heterogeneous overall reduction of MMR in the region between 1990 and 2019 and heterogeneous overall increases in the GHE, GHE/GDP, and HRH availability. The correlation analysis showed a close, negative, and dependent association of the economic development level between the MMR and GHE per capita, the percentage of GHE to GDP, the availability of HRH, and the coverage of SBA. We observed the lowest MMRs when GHE as a percentage of GDP was close to 3% or about US$400 GHE per capita, HRH availability of 6 doctors, nurses, and midwives per 1,000 inhabitants, and skilled birth attendance levels above 90%. CONCLUSIONS: Within the framework of the Sustainable Development Goals (SDGs) agenda, health policies aimed at the effective reduction of maternal mortality should consider allocating more resources as a necessary but not sufficient condition to achieve the goals and should prioritize the implementation of new forms of care with a gender and rights approach, as well as strengthening actions focused on vulnerable groups.

Temporal trends and spatial clusters of high risk for maternal death due to COVID-19 pre and during COVID-19 vaccination in Brazil: a national population-based ecological study.

OBJECTIVE: This study comprehensively analyzed the temporal and spatial dynamics of COVID-19 cases and deaths within the obstetric population in Brazil, comparing the periods before and during mass COVID-19 vaccination. We explored the trends and geographical patterns of COVID-19 cases and maternal deaths over time. We also examined their correlation with the SARS-CoV-2 variant circulating and the social determinants of health. STUDY DESIGN: This is a nationwide population-based ecological study. METHODS: We obtained data on COVID-19 cases, deaths, socioeconomic status, and vulnerability information for Brazil's 5570 municipalities for both the pre-COVID-19 vaccination and COVID-19 vaccination periods. A Bayesian model was used to mitigate indicator fluctuations. The spatial correlation of maternal cases and fatalities with socioeconomic and vulnerability indicators was assessed using bivariate Moran. RESULTS: From March 2020 to June 2023, a total of 23,823 cases and 1991 maternal fatalities were recorded among pregnant and postpartum women. The temporal trends in maternal incidence and mortality rates fluctuated over the study period, largely influenced by widespread COVID-19 vaccination and the dominant SARS-CoV-2 variant. There was a significant reduction in maternal mortality due to COVID-19 following the introduction of vaccination. The geographical distribution of COVID-19 cases and maternal deaths exhibited marked heterogeneity in both periods, with distinct spatial clusters predominantly observed in the North, Northeast, and Central West regions. Municipalities with the highest Human Development Index reported the highest incidence rates, while those with the highest levels of social vulnerability exhibited elevated mortality and fatality rates. CONCLUSION: Despite the circulation of highly transmissible variants of concern, maternal mortality due to COVID-19 was significantly reduced following the mass vaccination. There was a heterogeneous distribution of cases and fatalities in both periods (before and during mass vaccination). Smaller municipalities and those grappling with social vulnerability issues experienced the highest rates of maternal mortality and fatalities.

The unequal impact of the pandemic at subnational levels and educational attainment-related inequalities in COVID-19 mortality, Brazil, 2020-2021.

OBJECTIVES: We estimated COVID-19 mortality indicators in 2020-2021 to show the epidemic's impact at subnational levels and to analyze educational attainment-related inequalities in COVID-19 mortality in Brazil. STUDY DESIGN: This was an ecological study with secondary mortality information. METHODS: Crude and age-standardized COVID-19 mortality rates were calculated by gender, major regions, and states. The COVID-19 proportional mortality (percentage) was estimated by gender and age in each region. Measures of education-related inequalities in COVID-19 mortality were calculated per state, in each of which the COVID-19 maternal mortality rate (MMR) was estimated by the number of COVID-19 maternal deaths per 100,000 live births (LBs). RESULTS: The analysis of mortality rates at subnational levels showed critical regional differences. The North region proved to be the most affected by the pandemic, followed by the Center-West, with age-standardized COVID-19 mortality rates above 2 per 1000 inhabitants. The peak of COVID-19 mortality occurred in mid-March/April 2021 in all regions. Great inequality by educational level was found, with the illiterate population being the most negatively impacted in all states. The proportional mortality showed that males and females aged 50-69 years were the most affected. The MMR reached critical values (>100/100,000 LB) in several states of the North, Northeast, Southeast, and Center-West regions. CONCLUSIONS: This study highlights stark regional and educational disparities in COVID-19 mortality in Brazil. Exacerbated by the pandemic, these inequalities reveal potential areas for intervention to reduce disparities. The results also revealed high MMRs in certain states, underscoring pre-existing healthcare access challenges that worsened during the pandemic.

Hospital padrino: a collaborative strategy model to tackle maternal mortality: a mixed methods study in a middle-income region.

Background: Reducing maternal mortality ratio (MMR) remains a paramount goal for low- and middle-income countries (LMICs), especially after COVID-19's devastating impact on maternal health indicators. We describe our experience implementing the Hospital Padrino Strategy (HPS), a collaborative model between a high-complexity hospital (Fundación Valle del Lili) and 43 medium- and low-complexity hospitals in one Colombian department (an administrative and territorial division) from 2021 to 2022, to sustain the trend towards reducing MMR. The study aimed to assess the effects of implementing HPS on both hospital performance and maternal health indicators in Valle del Cauca department (VCD). Methods: A mixed-methods study was conducted, comprising two phases. In the first phase, we investigated a cohort of hospitals through prospective follow-up to assess the outcomes of HPS implementation on hospital performance and maternal health indicators in VCD. In the second phase, qualitative data were collected through focus groups with 131 health workers from 33 hospitals to explore the implications of the HPS implementation on healthcare personnel. All data were obtained from records within the HPS implementation and from the Health Secretary of VCD. Findings: Evidence shows that in the context of HPS, 51 workshops involved 980 healthcare workers, covering the entire territory. Substantial improvements were observed in hospital conditions and healthcare personnel's technical competencies when providing obstetric care. Seven hundred eighty-five pregnant women with obstetric or perinatal emergencies received care through telehealth systems, with a progressive increase in technology adoption. Nine percent required Intensive Care Unit (ICU) admission, and none died. The MMR decreased from 78.8 in 2021 to 12.0 cases per 100,000 live births by 2022. Improvements in indicators and conducted training sessions instilled confidence and empowerment among the healthcare teams in the sponsored hospitals, as evidenced in focus groups derived from a sample of 131 healthcare workers from 33 hospitals. Interpretation: Implementing the Hospital Padrino Strategy led to a significant MMR reduction, and consolidated a model of social healthcare innovation replicable in LMICs. Funding: The Hospital Padrino Strategy was funded by the Fundación Valle del Lili and the Health Secretary of Valle del Cauca. Furthermore, this study received funding from a general grant for research from Tecnoquimicas S.A.

National survey regarding obstetricians' perspective of obstetric emergencies in Brazil.

INTRODUCTION: The maternal mortality rate in developing countries, such as Brazil, has significantly increased since 2020. Obstetric Emergencies (OE) account for 72.5% of these deaths. A national survey was conducted in Brazil to evaluate how gynecologists and obstetricians deal with OE and identify the main difficulties regarding theoretical/practical knowledge and structural resources. METHODS: An electronic questionnaire assessing resource availability, health teams, institutional protocols, and provision of OE training courses was completed by Brazilian obstetricians. RESULTS: More than 90 % of the questionnaire respondents reported treating a pregnant and/or puerperal patient with severe morbidity and that their health network has human resources, trained professionals, and structural resources required for this type of care. However, few respondents participate in continuing education programs (36 %) or specific training for the medical team (61.41 %). The implementation rates of obstetric risk identification protocols (33.09 %), a rapid response team (46.54 %), and boxes and emergency cart assembly teams (71.68 %) were determined. CONCLUSION: A high Maternal Mortality Ratio (MMR) may be related to disorganized healthcare systems, low implementation of risk classification protocols for the care of severe maternal and fetal conditions, and lack of access to continued/specific training programs. The Brazilian MMR is multifactorial. According to obstetricians, Brazilian health services include care teams, essential medications, obstetric centers, and clinical analysis laboratories, though they lack systematized processes and permanent professional training for qualified care of OE.

Influence of sociodemographic and obstetric factors on maternal mortality in Brazil from 2011 to 2021.

BACKGROUND: Obstetric causes are classified as direct (complications of pregnancy, childbirth or the puerperium) or indirect (caused by pregnancy but not directly caused by it). This study aimed to analyze maternal mortality from obstetric causes in Brazil from 2011 to 2021. METHODS: This was an ecological study on mortality and live births. The outcomes were the specific risk of mortality from direct and indirect cause adjustment and death during pregnancy and the puerperium. Binary and multiple linear logistic regressions were used to assess the influence of sociodemographic factors and maternal and child health indicators on maternal mortality and time of death (pregnancy and puerperium). RESULTS: Regarding mortality during pregnancy and during the puerperium, increased (p = 0.003) and decreased (p = 0.004) mortality over the years, respectively; residing in the northern region was associated with lower (p < 0.05) and greater (p = 0.035) odds; and the Maternal Mortality Committee was the primary and least active source of investigation, respectively (p < 0.0001). The number of deaths from indirect causes increased with age (p < 0.001) and in the northern region (p = 0.011) and decreased in the white (< 0.05) and stable union (0.002) regions. Specifically, for mortality risk, the age group [women aged 15-19 years presented an increase in cesarean section (p < 0.001) was greater than that of women who had < 4 antenatal visits (p < 0.001)], education [women who completed high school (8 to 11 years) was greater when they had < 4 prenatal visits (p = 0.018)], and marital status [unmarried women had more than 4 antenatal visits (p < 0.001); cesarean birth (p = 0.010) and < 4 antenatal visits (p = 0.009) were predictors of marriage; and women in a stable union who had < 4 prenatal visits and live births to teenage mothers (p < 0.001) were predictors]. Women who had no education (p = 0.003), were divorced (p = 0.036), had cesarean deliveries (p < 0.012), or lived in the north or northeast (p < 0.008) had higher indirect specific mortality risk. CONCLUSIONS: Sociodemographic factors and maternal and child health indicators were related to different patterns of obstetric mortality. Obstetric mortality varied by region, marital status, race, delivery, prenatal care, and cause of death.

Nationwide study of in-hospital maternal mortality in Ecuador, 2015-2022.

Objective: This study aimed to analyze estimates of in-hospital delivery-related maternal mortality and sociodemographic factors influencing this mortality in Ecuador during 2015 to 2022. Methods: Data from publicly accessible registries from the Ecuadorian National Institute of Statistics and Censuses were analyzed. Maternal mortality ratios (MMRs) were calculated, and bivariate and multivariate logistic regression models were used to obtain unadjusted and adjusted odds ratios. Results: There was an increase in in-hospital delivery-related maternal deaths in Ecuador from 2015 to 2022: MMRs increased from 3.70 maternal deaths/100 000 live births in 2015 to 32.22 in 2020 and 18.94 in 2022. Manabí province had the highest rate, at 84.85 maternal deaths/100 000 live births between 2015 and 2022. Women from ethnic minorities had a higher probability of in-hospital delivery-related mortality, with an adjusted odds ratio (AOR) of 9.59 (95% confidence interval [95% CI]: 6.98 to 13.18). More maternal deaths were also observed in private health care facilities (AOR: 1.99, 95% CI: 1.4 to 2.84). Conclusions: Efforts to reduce maternal mortality have stagnated in recent years. During the COVID-19 pandemic in 2020, an increase in maternal deaths in hospital settings was observed in Ecuador. Although the pandemic might have contributed to the stagnation of maternal mortality estimates, socioeconomic, demographic and clinical factors play key roles in the complexity of trends in maternal mortality. The results from this study emphasize the importance of addressing not only the medical aspects of care but also the social determinants of health and disparities in the health care system.

Pre-eclampsia in low and middle-income settings: What are the barriers to improving perinatal outcomes and evidence-based recommendations?

OBJECTIVE: To discuss the points that still challenge low- and middle-income countries (LMICs) and strategies that have been studied to help them overcome these issues. METHODS: Narrative review addressing 20 years of articles concerning pre-eclampsia morbidity and mortality in LMICs. We summarized evidence-based strategies to overcome the challenges in order to reduce the pre-eclampsia impact on perinatal outcomes. RESULTS: Pre-eclampsia is the first or second leading cause in the ranking of avoidable causes of maternal death, and approximately 16% of all maternal deaths are attributable to eclampsia and pre-eclampsia. Considering the social and economic contexts, it represents a major public health concern, and prevention and early detection of pre-eclampsia seem to be a major challenge. Reducing maternal mortality related to hypertensive disturbances depends on public policies to manage these preventable conditions. Early and continuous recognition of signs of severity related to hypertensive disorders during pregnancy and childbirth, self-monitoring of symptoms and blood pressure, as well as preventive approaches such as aspirin and calcium, and magnesium sulfate, are lifesaving procedures that have not yet reached a universal scale. CONCLUSION: This review provides a vision of relevant points to support pregnant women in overcoming the constraints to healthcare access in LMICs, and strategies that can be applied in primary prenatal care units.

Role of disruptions in O RhD negative donations in Colombia on increasing maternal mortality ratio from haemorrhage.

OBJECTIVE: The aim of this work was to evaluate the relationship of the maternal mortality ratio due to obstetric haemorrhage (MMROH) with the national blood donations, particularly O RhD negative (Oneg) before and during COVID-19 pandemic. BACKGROUND: The maternal mortality ratio is increasing in Colombia, yet little is known regarding the relationship between blood donations and maternal mortality due to obstetric haemorrhage. MATERIALS AND METHODS: A retrospective cross-sectional study between January 1, 2018, and December 31, 2021, was performed, to assess MMROH compared to the blood donations notified to the Colombian National Haemovigilance System, through non-parametric methods. Because a relationship between blood donations and MMROH was identified, the analysis was expanded from 2009 to 2017. RESULTS: In 2020, Colombia increased the MMROH by 32% compared to 2019 which coincided with the lockdown period to contain COVID-19. An inversed relationship (SumD2 = 631.0; rs = -0.7335; p 0.01) between blood donations, particularly Oneg (SumD2 = 652.0; rs = -0.7912; p 0.002) and MMROH was identified. For the years 2015-2019 and 2021, the annual mean MMROH was 8.5 ± 0.5 per 100 000 live births when the annual mean blood donations was 18.2 ± 0.4 donations per 1000 people and the Oneg was 1.0 ± 0.0 donations per 1000 people. In contrast, the years 2009-2014 and 2020 displayed an annual MMROH of 12.6 ± 0.8, when the annual collection of blood was 16.4 ± 0.8 donations and the Oneg was 0.9 ± 0.0, p < 0.001. CONCLUSION: There was an inverse relationship between blood donation, mainly Oneg, and maternal mortality from obstetric haemorrhage. However, we recognise these deaths could be related to other reasons, especially when they occurred in rural areas with limited access to medical services.

Mortalidade materna: protocolo de um estudo integrado à pesquisa Nascer no Brasil II / Mortalidad materna: protocolo de un estudio integrado a la encuesta Nacer en Brasil II / Maternal mortality: protocol of a study integrated to the Birth in Brazil II survey

Resumo: O Estudo da Mortalidade Materna conduz uma investigação hospitalar dos óbitos maternos ocorridos em 2020/2021 nas maternidades amostradas na pesquisa Nascer no Brasil II, com os seguintes objetivos: estimar o sub-registro da mortalidade materna e calcular um fator de correção e a razão de mortalidade materna (RMM) corrigida; validar as causas de mortalidade materna informadas na declaração de óbito (DO); e analisar os fatores associados à mortalidade materna. O Nascer no Brasil II inclui aproximadamente 24.255 puérperas distribuídas em 465 hospitais públicos, privados e mistos com ≥ 100 partos de nascidos vivos/ano nas cinco macrorregiões do país. Os dados do Estudo da Mortalidade Materna serão preenchidos utilizando o mesmo questionário do Nascer no Brasil II, a partir da consulta aos prontuários hospitalares. Obstetras treinados preencherão uma nova DO (DO refeita) a partir de análise independente desse questionário, comparando aos dados oficiais. A base de dados dos óbitos investigados será relacionada com os óbitos constantes no Sistema de Informações sobre Mortalidade do Ministério da Saúde, permitindo a estimativa do sub-registro e cálculo da RMM corrigida. Para o cálculo da confiabilidade das causas de morte, serão utilizados os testes kappa e kappa ajustado à prevalência com intervalo de 95% de confiança. Um estudo de caso-controle para estimar os fatores de risco para mortalidade materna será desenvolvido com os óbitos investigados (casos) e os controles obtidos na pesquisa Nascer no Brasil II, utilizando-se modelos de regressão logística múltipla condicional. Espera-se contribuir para a correção do sub-registro da mortalidade materna e para a melhor compreensão dos fatores determinantes da persistência de RMM elevada no Brasil.

Resumen: El Estudio de Mortalidad Materna evalúa las muertes maternas ocurridas en 2020-2021 en las muestras de maternidades del encuesta Nacer en Brasil II con los objetivos de estimar el subregistro de mortalidad materna y calcular el factor de corrección y la tasa de mortalidad materna corregida (TMM); validar las causas de mortalidad materna reportadas en el certificado de defunción (CD); y analizar los factores asociados a la mortalidad materna. La Nacer en Brasil II incluye aproximadamente 24.250 mujeres puerperales, distribuidas en 465 hospitales públicos, privados y mixtos con ≥ 100 nacidos vivos/año en las cinco macrorregiones de Brasil. Los datos de Estudio de Mortalidad Materna se completarán con la información del cuestionario Nacer en Brasil II a partir de una búsqueda de los registros médicos hospitalarios. Los obstetras capacitados completarán un nuevo CD (CD rehecho) desde un análisis independiente de este cuestionario, comparándolo con los datos oficiales. La base de datos de muertes investigadas se relacionará con las muertes que constan en el Sistema de Informaciones sobre la Mortalidad del Ministerio de Salud para permitir la estimación del subregistro y el cálculo de la TMM corregida. Para calcular la exactitud de las causas de muerte, se utilizarán las pruebas kappa y kappa ajustada a la prevalencia con un intervalo de 95% de confianza. Un estudio de casos y controles se aplicará para estimar los factores de riesgo de las mortalidad materna con las muertes investigadas (casos) y los controles obtenidos en el estudio Nacer en Brasil II utilizando modelos de regresión logística múltiple condicional. Se espera que este estudio pueda contribuir a la corrección del subregistro de la mortalidad materna y a una mejor comprensión de los determinantes de la persistencia de alta TMM en Brasil.

Abstract: The Maternal Mortality Study conducts a hospital investigation of maternal deaths that occurred in 2020/2021 in the maternity hospitals sampled by the Birth in Brazil II survey, with the following objectives: estimate the maternal mortality underreporting; calculate a correction factor and the corrected (MMR); validate the causes of maternal mortality reported in the death certificate (DC); and analyze the factors associated with maternal mortality. The Birth in Brazil II includes approximately 24,250 puerperal women distributed in 465 public, private, and mixed hospitals with ≥ 100 live births/year in the five macroregions of Brazil. The Maternal Mortality Study data will be completed using the same Birth in Brazil II questionnaire, from the consultation of hospital records. Trained obstetricians will fill out a new DC (redone DC) from independent analysis of this questionnaire, comparing it to official data. The database of the investigated deaths will be related to the deaths listed in the Mortality Information System of the Brazilian Ministry of Health, allowing the estimation of underreporting and calculation of the corrected MMR. To calculate the reliability of the causes of death, the kappa test and prevalence-adjusted kappa with 95% confidence interval will be used. A case-control study to estimate the risk factors for maternal mortality will be developed with the investigated deaths (cases) and the controls obtained in the Birth in Brazil II survey, using conditional multiple logistic regression models. We expect this research to contribute to the correction of the underreporting of maternal mortality and to a better understanding of the determinants of the persistence of a high MMR in Brazil.