Covid-19 infection in pregnant women in Dubai: a case-control study.

BACKGROUND: Whilst the impact of Covid-19 infection in pregnant women has been examined, there is a scarcity of data on pregnant women in the Middle East. Thus, the aim of this study was to examine the impact of Covid-19 infection on pregnant women in the United Arab Emirates population. METHODS: A case-control study was carried out to compare the clinical course and outcome of pregnancy in 79 pregnant women with Covid-19 and 85 non-pregnant women with Covid-19 admitted to Latifa Hospital in Dubai between March and June 2020. RESULTS: Although Pregnant women presented with fewer symptoms such as fever, cough, sore throat, and shortness of breath compared to non-pregnant women; yet they ran a much more severe course of illness. On admission, 12/79 (15.2%) Vs 2/85 (2.4%) had a chest radiograph score [on a scale 1-6] of ≥3 (p-value = 0.0039). On discharge, 6/79 (7.6%) Vs 1/85 (1.2%) had a score ≥3 (p-value = 0.0438). They also had much higher levels of laboratory indicators of severity with values above reference ranges for C-Reactive Protein [(28 (38.3%) Vs 13 (17.6%)] with p < 0.004; and for D-dimer [32 (50.8%) Vs 3(6%)]; with p < 0.001. They required more ICU admissions: 10/79 (12.6%) Vs 1/85 (1.2%) with p=0.0036; and suffered more complications: 9/79 (11.4%) Vs 1/85 (1.2%) with p=0.0066; of Covid-19 infection, particularly in late pregnancy. CONCLUSIONS: Pregnant women presented with fewer Covid-19 symptoms but ran a much more severe course of illness compared to non-pregnant women with the disease. They had worse chest radiograph scores and much higher levels of laboratory indicators of disease severity. They had more ICU admissions and suffered more complications of Covid-19 infection, such as risk for miscarriage and preterm deliveries. Pregnancy with Covid-19 infection, could, therefore, be categorised as high-risk pregnancy and requires management by an obstetric and medical multidisciplinary team.

Comparison of the effectiveness of a PAMG-1 test and standard clinical assessment in the prediction of preterm birth and reduction of unnecessary hospital admissions.

PURPOSE: The purpose of this study is to first compare the performance of the PAMG-1 biomarker test to that of standard clinical assessment (SCA) for the risk assessment of spontaneous preterm delivery (sPTD) among women with symptoms of preterm labor (PTL) and then calculate the potential impact on unnecessary admission reduction. MATERIALS AND METHODS: Patients of gestational age 240/7-366/7 with PTL symptoms, cervical dilatation ≤3 cm, no intercourse within 24 h, and clinically intact membranes were recruited consecutively into this prospective observational study. Specificity (SP), sensitivity (SN), positive-predictive value (PPV), and negative-predictive value (NPV) for the PAMG-1 test and SCA, for which a positive result was defined as patient admission, for predicting spontaneous delivery ≤7 and ≤14 d of presentation were calculated. RESULTS: One hundred and forty-eight patients were included in the analysis, 132 of which had both SCA and PAMG-1 results available. For the prediction of sPTD ≤7 d for SCA and PAMG-1, the PPV and NPV were 10% and 100%, and 71% and 98%, respectively. For prediction of sPTD ≤14 d for SCA and PAMG-1, the PPV and NPV were 14% and 100%, and 86% and 96%, respectively. Sixty-one per cent (81/132) of patients were admitted for treatment and/or observation. CONCLUSION: Our study reinforces the critical role of the PAMG-1 biomarker test to aid in risk assessment of imminent spontaneous preterm delivery in patients with symptoms of PTL. The PAMG-1 test was found to be statistically superior to standard clinical assessment alone, with respect to specificity. Based on our data, the introduction of a PAMG-1 test result into clinical decision making could reduce up to 91% of unnecessary admissions for women presenting with threatened preterm labor.