Implementing the Risk Identification (RI) and Modified Early Obstetric Warning Signs (MEOWS) tool in district hospitals in Rwanda: a cross-sectional study

Comparison of the efficacy for early warning systems in predicting obstetric critical illness

OBJECTIVE

To validate the accuracy of four early warning scores for early identification of women at risk.

METHODS

This was a retrospective study of pregnant women admitted in obstetrics Critical Care Unit (ICU). Capacity of the Modified Obstetric Early Warning Score (MOEWS), ICNARC Obstetric Early Warning Score (OEWS), Maternal Early Obstetric Warning System (MEOWS chart), and Maternal Early Warning Trigger (MEWT) were compared in predicting severe maternal morbidity. Area under receiver operator characteristic (AUROC) curve was used to evaluate the predictive performance of scoring system.

RESULTS

A total of 352 pregnant women were enrolled and 290 were identified with severe maternal morbidity. MOEWS was more sensitive than MEOWS chart, ICNARC OEWS and MEWT (96.9 % vs. 83.4 %, 66.6 % and 44.8 %). MEWT had the highest specificity (98.4 %), followed by MOEWS (83.9 %), ICNARC OEWS (75.8 %) and MEOWS chart (48.4 %). AUROC of MOEWS, ICNARC OEWS, MEOWS chart, and MEWT for prediction of maternal mortality were 0.91 (95 % CI: 0.874-0.945), 0.765(95 % CI: 0.71-0.82), 0.657(95 % CI: 0.577-0.738), and 0.716 (95 % CI, 0.659-0.773) respectively. MOEWS had the highest AUCs in the discrimination of serious complications in hypertensive disorders, cardiovascular disease, obstetric hemorrhage and infection. For individual vital signs, maximum diastolic blood pressure (DBP), maximum systolic blood pressure (SBP), maximum respiratory rate (RR) and peripheral oxygen saturation (SPO2) demonstrated greater predictive ability.

CONCLUSION

MOEWS is more accurate than ICNARC OEWS, MEOWS chart, and MEWT in predicting the deterioration of women. The prediction ability of DBP, SBP, RR and SPO2 are more reliable.

Compliance with maternal sepsis guidelines in a tertiary hospital in the Netherlands

OBJECTIVES

Sepsis is a common cause of maternal mortality and morbidity. Early detection and rapid management are essential. In this study, we evaluate the compliance with the implemented maternity-specific Early Warning Score (EWS), Rapid Response Team (RRT) protocol and the Surviving Sepsis Campaign (SSC) Hour-1 Bundle in a tertiary hospital in the Netherlands.

METHODS

We performed a retrospective patient chart review from July 2019 to June 2020 at the Leiden University Medical Centre. We included women who received therapeutic antibiotics and were admitted for at least 24 hours.

RESULTS

We included 240 women: ten were admitted twice and one woman three times, comprising 252 admissions. A clinical diagnosis of sepsis was made in 22 women. The EWS was used in 29% (n = 73/252) of admissions. Recommendations on the follow-up of the EWS were carried out in 53% (n = 46/87). Compliance with the RRT protocol was highest for assessment by a medical doctor within 30 minutes (n = 98/117, 84%) and lowest for RRT involvement (n = 7/23, 30%). In women with sepsis, compliance with the SSC Bundle was highest for acquiring blood cultures (n = 19/22, 85%), while only 64% (n = 14/22) received antibiotics within 60 minutes of the sepsis diagnosis.

CONCLUSION

The adherence to the maternity-specific EWS and the SSC Hour-1 bundle was insufficient, even within this tertiary setting in a high-income country.

Modified Early Obstetric Warning Criteria Predict Maternal Morbidity in the Immediate Postpartum Period: A Case-Control Study

OBJECTIVE

To evaluate the application of Modified Early Obstetric Warning Criteria (MEOWC) in the immediate postpartum period and to generate a preliminary predictive model for postpartum maternal morbidity.

DESIGN

Retrospective case-control study that was conducted from January 2017 to January 2020. A total of 2,762 births occurred during the study period.

SETTING

Obstetrics unit of a general hospital located in the Nakhon Si Thammarat province of Thailand.

PARTICIPANTS

Three hundred charts of complete health records for women in the first 24 hours postbirth were used in the study. Severe maternal morbidity indicators from the Centers for Disease Control and Prevention as well as corresponding International Classification of Diseases, 10th Revision-Clinical Modification codes during birth and postpartum hospitalizations were used to define maternal morbidity. Case and control individuals were matched in an approximate 1:2 fashion based on the year when the birth occurred.

MEASUREMENTS

Outcomes measurement was carried out using three data record forms-personal data, obstetric history, and MEOWC. To estimate the risks, logistic regression was performed, and a receiver operating characteristic curve was derived to evaluate the model's performance.

RESULTS

One hundred cases of maternal morbidity that occurred in the immediate postpartum period were identified and matched with 200 control cases. Women with MEOWC during the immediate postpartum were much more likely to experience subsequent postpartum maternal morbidity than were women without the criteria. MEOWC were a moderate predictor of postpartum maternal morbidity.

CONCLUSION

MEOWC are associated with increased odds of postpartum maternal morbidity. However, these findings should be validated in a prospective cohort to develop a predictive model that is effective for use in immediate postpartum care.

A new modified obstetric early warning score for prognostication of severe maternal morbidity

BACKGROUND

Maternal mortality is still a major challenge for health systems, while severe maternal complications are the primary causes of maternal death. Our study aimed to determine whether severe maternal morbidity is effectively predicted by a newly proposed Modified Obstetric Early Warning Score (MOEWS) in the setting of an obstetric intensive care unit (ICU).

METHODS

A retrospective study of pregnant women admitted in the ICU from August 2019 to August 2020 was conducted. MOEWS was calculated 24 h before and 24 h after admission in the ICU, and the highest score was taken as the final value. For women directly admitted from the emergency department, the worst value before admission was collected. The aggregate performance of MOEWS in predicting critical illness in pregnant women was evaluated and finally compared with that of the Acute Physiology and Chronic Health Evaluation II (APACHE II) score.

RESULTS

A total of 352 pregnant women were enrolled; 290 women (82.4%) with severe maternal morbidity were identified and two of them died (0.6%). The MOEWSs of women with serious obstetric complications were significantly higher than those of women without serious obstetric complications [8(6, 10) vs. 4(2, 4.25), z = -10.347, P < 0.001]. MOEWSs of 24 h after ICU admission had higher sensitivity, specificity and AUROC than MOEWSs of 24 h before ICU admission. When combining the two MOEWSs, sensitivity of MOEWS was 99.3% (95% CI: 98-100), specificity 75.8% (95% CI: 63-86), positive predictive value (PPV) 95.1% (95% CI: 92-97) and negative predictive value (NPV) 95.9% (95% CI: 86-100). The areas under the receiver operator characteristic (ROC) curves of MOEWS were 0.92 (95% CI: 0.88-0.96) and 0.70 (95% CI: 0.63-0.76) of the APACHE II score.

CONCLUSION

The newly proposed MOEWS has an excellent ability to identify critically ill women early and is more effective than APACHE II. It will be a valuable tool for discriminating severe maternal morbidity and ultimately improve maternal health.