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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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