Indicators for maternal near miss: an observational study, India

A cohort study of maternal near-miss events and its adverse perinatal outcomes: an obstetrical finding in Northwest Ethiopia

BACKGROUND

Globally, various studies have reported that most adverse perinatal outcomes were associated with maternal near-misses. In Ethiopia, studies on adverse perinatal outcomes from maternal near-miss are scarce.

OBJECTIVE

This study aimed to assess the incidence, determinants, and maternal near-miss effects on perinatal outcomes among women at public hospitals in the South Gondar zone in 2021.

STUDY DESIGN

A facility-based prospective cohort study was conducted from January 10, 2021, to May 10, 2021. The chi-square test, multivariable logistic regression methods, and SPSS software were used. The strength of associations and significance level were examined using P values and odds ratios with 95% confidence intervals, respectively. In addition, multicollinearity and model fitness were checked.

RESULTS

A total of 304 respondents (76 exposed and 228 unexposed) were included in the study with a response rate of 100.0%. The incidence rates of adverse perinatal outcomes among exposed and unexposed groups were 71.1% (95% confidence interval, 60.0-73.8) and 21.1% (95% confidence interval, 15.8-28.8), respectively. Multivariable logistic regression showed that short interbirth interval (adjusted odds ratio, 8.39; 95% confidence interval, 5.36-16.08), lower household income (adjusted odds ratio, 3.61; 95% confidence interval, 1.12-6.54), rural residence (adjusted odds ratio, 2.54; 95% confidence interval, 1.21-4.07), previous stillbirth (adjusted odds ratio, 4.24; 95% confidence interval, 1.04-17.31), absence of antenatal care (adjusted odds ratio, 9.84; 95% confidence interval, 4.89-17.51), and anemia (adjusted odds ratio, 4.19; 95% confidence interval, 1.01-17.46) were significantly associated with increased odds of adverse perinatal outcomes.

CONCLUSION

This study revealed that the incidence of adverse perinatal outcomes was significantly higher among exposed groups than unexposed groups. The result signified the need for improving the health of mothers by all stakeholders to improve perinatal outcomes.

Global burden of potentially life-threatening maternal conditions: a systematic review and meta-analysis

BACKGROUND

Potentially life-threatening maternal conditions (PLTCs) is an important proxy indicator of maternal mortality and the quality of maternal health services. It is helpful to monitor the rates of severe maternal morbidity to evaluate the quality of maternal care, particularly in low- and lower-middle-income countries. This study aims to systematically identify and synthesize available evidence on PLTCs.

METHODS

We searched studies in English from 2009‒2023 in PubMed, the National Library of Medicine (NLM) Gateway, the POPLINE database, and the Science Direct website. The study team independently reviewed the illegibility criteria of the articles. Two reviewers independently appraised the included articles using the Joanna Briggs Instrument for observational studies. Disputes between the reviewers were resolved by consensus with a third reviewer. Meta-analysis was conducted in Stata version 16. The pooled proportion of PLTCs was calculated using the random effects model. The heterogeneity test was performed using the Cochrane Q test, and its level was determined using the I2 statistical result. Using Egger's test, the publication bias was assessed.

RESULT

Thirty-two cross-sectional, five case-control, and seven cohort studies published from 2009 to 2023 were included in the meta-analysis. The highest proportion of PLTC was 17.55% (95% CI: 15.51, 19.79) in Ethiopia, and the lowest was 0.83% (95% CI: 0.73, 0.95) in Iraq. The pooled proportion of PLTC was 6.98% (95% CI: 5.98-7.98). In the subgroup analysis, the pooled prevalence varied based on country income level: in low-income 13.44% (95% CI: 11.88-15.00) I2 = 89.90%, low-middle income 7.42% (95% CI: 5.99-8.86) I2 = 99.71%, upper-middle income 6.35% (95% CI: 4.21-8.50) I2 = 99.92%, and high-income 2.67% (95% CI: 2.34-2.99) I2 = 99.57%. Similarly, it varied based on the diagnosis criteria; WHO diagnosis criteria used 7.77% (95% CI: 6.10-9.44) I2 = 99.96% at P = 0.00, while the Centers for Disease Controls (CDC) diagnosis criteria used 2.19% (95% CI: 1.89-2.50) I2 = 99.41% at P = 0.00.

CONCLUSION

The pooled prevalence of PLTC is high globally, predominantly in low-income countries. The large disparity of potentially life-threatening conditions among different areas needs targeted intervention, particularly for women residing in low-income countries. The WHO diagnosis criteria minimize the underreporting of severe maternal morbidity.

TRIAL REGISTRATION

CRD42023409229.

External validation of the Maternal Severity Index for predicting maternal death following potentially life-threatening complications during pregnancy and childbirth: a single-centre, prospective observational study

OBJECTIVES

To perform an external validation to assess the usefulness of the Maternal Severity Index (MSI) in predicting maternal death among women with potentially life-threatening complications during pregnancy or childbirth.

DESIGN

Prospective observational study.

SETTING

A tertiary referral centre in southeastern India.

PARTICIPANTS

1833 women with potentially life-threatening complications identified using the WHO criteria.

PREDICTOR ASSESSED

MSI calculated based on the severity markers of the WHO criteria for maternal near-miss.

PRIMARY OUTCOME

Maternal death.

STATISTICAL ANALYSIS

Receiver operating characteristics (ROC) curve analysis was performed to assess discriminative performance, and agreement between expected and observed deaths was plotted to determine calibration.

RESULTS

The incidence of severe maternal outcomes was 10 per 1000 live births. There were 57 (151 per 100 000 live births) maternal deaths during the study period. Maternal Severity Score was significantly higher among those who died (2.8±1.3 vs 2.0±1.2, p<0.001). The mean MSI value was 1.03% (95% CI 0.7% to 1.2%). ROC curve analysis showed good discrimination (AUC(Area Under the Curve): 0.962, 95% CI 0.952 to 0.970); however, overfitting was seen with higher probabilities. The standardised mortality ratio (SMR) was 0.02 (95% CI 0.01 to 0.02), indicating good quality of care.

CONCLUSIONS

The MSI has good discriminative performance in distinguishing who succumbs to life-threatening complications, but needs recalibration to avoid overfitting. SMR of less than 0.5 indicates fewer than expected deaths, suggesting good quality of care in reducing maternal mortality in the study population.