Obstetric Admissions in ICU in a Tertiary Care Center: A 5-Years Retrospective Study

Pregnant Patients with COVID-19 Admitted to an ICU: A Comparison with a Historical Cohort of Critical Pregnant Patients without COVID-19

AIM OF THE STUDY

Maternal mortality and ICU admissions have increased during the COVID-19 pandemic. We reported a case-series of pregnant patients with COVID-19 admitted to an ICU and we compared them with a historical cohort of pregnant patients admitted to an ICU without COVID-19.

METHODS

We included all pregnant patients with laboratory-confirmed COVID-19 infection admitted to our ICU in 2021. As a historical control group, we included all pregnant women who were admitted to our ICU between 1 January 2008 and 31 December 2013.

RESULTS

In 2021, 11 pregnant patients (pts) with COVID-19 were admitted to an ICU, representing 2.87% of ICU admissions. We found that pregnant patients with COVID-19 (1) had a higher BMI (34.6 vs. 28.8, p = 0.04) and a lower gestational age (30.6 vs. 34 weeks, p = 0.03), (2) were mainly admitted for respiratory failure (100% vs. 2.7%; p = 0.001) and (3) required more days of invasive and non-invasive ventilations (54.5% vs. 5.2%, p = 0.002), a longer duration of stay at the ICU (21.9 vs. 4.8 days, p < 0.0001) and had a higher mortality rate (27.3% vs. 0%, p = 0.0192).

CONCLUSIONS

Pregnant patients with COVID-19 represent a challenge for ICU physicians due to their different characteristics and outcomes when compared to pregnant patients without COVID-19.

Prediction of Maternal Morbidity and Mortality Risk Among Women with Medical Disorders Presenting to Emergency Obstetric care (EMOC): A Prospective Observational Study

Introduction

Medical disorders complicating pregnancy have recently emerged as the most common cause for maternal morbidity and mortality and it is important to predict mortality risk when they present in moribund state to emergency obstetric care so as to take and timely effective measures to prevent mortality.

Methods

This prospective observational study was conducted over 6 months among pregnant and post-partum women with medical disorders who sought emergency obstetric care at a tertiary care hospital. Severity of morbidity was assessed using SOFA and APACHE II scores at admission.

Results

Of the 128 women, 87.5% were pregnant, and 12.5% were post-partum. Hypertensive disorders, cardiac disorders, neurological disorders and infective disorders were 24.2%, 22.6%, 14% and 9.4%, respectively. The optimal cut-off SOFA score was 2 (AUC = 0.739) with 66% sensitivity and 71% specificity and APACHE II score cut-off was 6 (AUC = 0.732) with a sensitivity of 60% and specificity of 78% in predicting severe maternal morbidity. The median scores of APACHE II and SOFA are 14 and 4, respectively, for non-survivors and for survivors it was 4 and 1.

Conclusion

Hypertensive disorder was the most common medical disorder, but severity was high in cardiac disorder. SOFA and APACHE II scores are good predictors of morbidity and mortality risk.

Prediction of mechanical ventilation greater than 24 hours in critically ill obstetric patients: ten years of data from a tertiary teaching hospital in mainland China

Background

Maternal admission to the intensive care unit (ICU) during pregnancy or in the postpartum period is a marker of severe acute maternal morbidity. Mechanical ventilation is an important and basic method of maintaining life support in the ICU, but prolonged mechanical ventilation (PMV) is associated with a prolonged length of hospital stay and other adverse outcomes. Therefore, we conducted this retrospective study to describe morbidity and further try to identify the risk factors for PMV in critically ill obstetric women.

Methods

The clinical data were obtained from a single-centre retrospective comparative study of 143 critically ill obstetric patients at a tertiary teaching hospital in mainland China between January 1, 2009, and December 31, 2019. PMV was defined as a mechanical ventilation length of more than 24 h. Clinical and obstetric parameters were collected to analyse the risk factors for PMV. Patients were separated into groups with and without PMV. Potential risk factors were identified by univariate testing. Multivariate logistic regression was used to evaluate independent predictors of PMV.

Results

Out of 29,236 hospital deliveries, 265 critically ill obstetric patients entered the ICU. One hundred forty-five (54.7%) of them were treated with mechanical ventilation. Two were excluded because of death within 24 h. Sixty-five critically ill obstetric patients (45.5%) underwent PMV. The independent risk factors for PMV included estimated blood loss (odds ratio (OR) =1.296, P=0.029), acute kidney injury (AKI) (OR=4.305, P=0.013), myocardial injury (OR=4.586, P=0.012), and PaO₂/FiO₂ (OR=0.989, P< 0.001). The area under the receiver operating characteristic (ROC) curve based on the predicted probability of the logistic regression was 0.934.

Conclusions

Estimated blood loss, AKI, myocardial injury, and PaO₂/FiO₂ were independent risk factors for PMV in critically ill obstetric patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-020-03524-4.

Obstetric ICU: Analysing and Understanding the Data is Important

How to cite this article: Pandya ST, Mogal S, Kulkarni AP. Obstetric ICU: Analysing and Understanding the Data is Important. Indian J Crit Care Med 2019;23(5):201-202.