ABSTRACT
AIM OF THE STUDY: To validate the new cardiac risk scoring system, Sheela's Cardiac Disease in Pregnancy (SHE-CDIP), in predicting the cardiac complications in women with cardiac disease in pregnancy. MATERIALS AND METHODS: The study was conducted at a tertiary care hospital in South India, over a period of 5 years from January 2010 to January 2015. Pregnant women with heart disease included in this study were 102, and data was collected from medical records. Risk Score was calculated at booking according to both the new scoring system (SHE-CDIP) and the standard CARPREG scoring system. The validation was done by assessing the ability of the new scoring system to predict maternal cardiac complications by comparing with the CARPREG scoring system. STATISTICAL METHODS: The validation of the SHE-CDIP score was done against CARPREG score using cross tabulation between current cardiac risk score with CARPREG score. McNemar square test was done to compare the proportion between two scoring methods. Agreement between CARPREG and SHE-CDIP risk score was analyzed using Kappa statistics, and accuracy was reported. RESULTS: Comparing the two risk scores using Kappa statistics, accuracy and good agreement were noted (kappa = 0.70). Sensitivity of 83%, specificity of 88%, positive predictive value of 86% and negative predictive value of 84% for the SHE-CDIP scoring system were noted. CONCLUSION: The new risk score (SHE-CDIP) would be useful to stratify the risk in Indian cohort of women with cardiac disease in pregnancy as it is population specific.
ABSTRACT
Background: A high prevalence of vitamin D deficiency exists in pregnant Indian women (~90%). Increasing evidence suggests that vitamin D could play a pivotal role in maintaining normal glucose homeostasis. We aimed to determine the association between maternal vitamin D concentrations in early pregnancy and the risk of gestational diabetes mellitus (GDM). Methods: A prospective observational study was conducted on healthy pregnant women (n = 392) attending routine antenatal care at St. John's Medical College Hospital, Bangalore recruited at ~12 weeks of gestation. At baseline, details on socio-economic status, obstetric history, dietary intakes, and anthropometry were collected. Venous plasma total vitamin D concentration was assessed using tandem liquid chromatography mass spectrophotometry (LC-MS/MS). Oral glucose tolerance test (OGTT) at recruitment, followed by glucose tolerance test (GTT) at mid-pregnancy was conducted. GDM was diagnosed and confirmed using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) classification. Univariate and adjusted logistic regression models were used to evaluate the associations between total vitamin D concentrations at enrollment with GDM. Results: Of the cohort, 10.2% were diagnosed as GDM. Women with GDM were older (26 vs. 24 years) and heavier (51.6 vs. 51.2 kg) compared to the rest. A higher prevalence of GDM was observed among women with 1st trimester plasma total vitamin D in the lowest quartile (≤23.6 nmol/L) compared to the subjects in the other three quartiles (16.1 vs. 8.6%, p = 0.033). Adjusted multivariable regression analysis showed that women in the lowest quartile of plasma total vitamin D had twice the odds of GDM compared to women belonging to the remaining quartiles [OR = 2.32 (95%CI: 1.10, 4.91), p = 0.028]. Conclusions: Low plasma total vitamin D concentrations in early pregnancy may be associated with a higher risk of GDM.