Postpartum weight retention and its association with socio-demographic and obstetrics correlates: A cross-sectional hospital-based preliminary survey in India.

BACKGROUND AND AIMS: Postpartum weight retention can predispose women to an elevated risk of obesity and associated complications. The study aims to assess the magnitude of postpartum weight retention and its association with socio-demographic and obstetrics correlates. METHODS: A cross-sectional survey was carried out in February and March 2022 via telephonic interviews. Convenience sampling technique was used for recruiting postpartum women in first three months, four to six months and beyond six months post-delivery (date of delivery January 2021 to January 2022). Chi2 test and regression analysis were employed to study the association of socio-demographic and obstetrics correlates with postpartum weight retention. RESULTS: The final sample comprised 505 postpartum women with a mean age of 29 ± 4 years. The mean postpartum weight retention was 4.96 ± 3.64 kg, 5.38 ± 3.93 kg and 5.80 ± 3.95 kg in the first three months, four to six months and beyond six months post-delivery respectively. In the first three months, socio-economic status and gestational weight gain were associated with weight retention (p < 0.05). In four-six months, type of family, education qualification, and gestational weight gain were associated with weight retention (p < 0.05). Beyond six months post-delivery, gestational weight gain was associated with postpartum weight retention (p < 0.05). CONCLUSION: The findings provide preliminary data on the magnitude of weight retention in Indian postpartum women. Postpartum women are at an increased risk of weight retention with the overall shift to a higher body mass index category as compared to the pre-pregnancy period. It is crucial to timely screen women at risk and implement weight management strategies.

Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India.

This study aims to establish the best and simplified panel of molecular markers for prognostic stratification of glioblastomas (GBMs). One hundred fourteen cases of GBMs were studied for IDH1, TP53, and TERT mutation by Sanger sequencing; EGFR and PDGFRA amplification by fluorescence in situ hybridization; NF1expression by quantitative real time polymerase chain reaction (qRT-PCR); and MGMT promoter methylation by methylation-specific PCR. IDH1 mutant cases had significantly longer progression-free survival (PFS) and overall survival (OS) as compared to IDH1 wild-type cases. Combinatorial assessment of MGMT and TERT emerged as independent prognostic markers, especially in the IDH1 wild-type GBMs. Thus, within the IDH1 wild-type group, cases with only MGMT methylation (group 1) had the best outcome (median PFS: 83.3 weeks; OS: not reached), whereas GBMs with only TERT mutation (group 3) had the worst outcome (PFS: 19.7 weeks; OS: 32.8 weeks). Cases with both or none of these alterations (group 2) had intermediate prognosis (PFS: 47.6 weeks; OS: 89.2 weeks). Majority of the IDH1 mutant GBMs belonged to group 1 (75%), whereas only 18.7% and 6.2% showed group 2 and 3 signatures, respectively. Interestingly, none of the other genetic alterations were significantly associated with survival in IDH1 mutant or wild-type GBMs. Based on above findings, we recommend assessment of three markers, viz., IDH1, MGMT, and TERT, for GBM prognostication in routine practice. We show for the first time that IDH1 wild-type GBMs which constitute majority of the GBMs can be effectively stratified into three distinct prognostic subgroups based on MGMT and TERT status, irrespective of other genetic alterations.