Aim And Objective: To create crown-rump length (CRL)-based biometric chart for fetus in the first trimester among the Indian population.
Material And Methods: Cross-sectional data were obtained from 400 singleton pregnancies between 11 and 14 weeks gestation with a normal outcome. Linear regression models were constructed; the mean and SD were derived as a function of CRL.
Results: There was a positive correlation of CRL with nuchal translucency (NT) (y = 0.0102x + 0.6307 R=0.1177), biparietal diameter (BPD) (BPD = 0.032*CRL +0.185 R=0.765), occipito-frontal diameter (OFD), lateral ventricular diameter (LV), abdominal circumference (AC) (AC = 0.944*CRL +9.684 R=0.668), femur length (FL) (FL = 0.222*CRL -4.734 R=0.661), fetal weight (FW) (FW = 1.328*CRL -10.41 R=0.662). The regression models and centile charts of NT, BPD, OFD, LV, AC, and FW were constructed. Taking FW as the independent variable, a linear equation of BPD, AC, and FL to calculate weight was constructed.
Conclusions: The first-trimester centile charts of fetal parameters can be used as a reference for Indian population in the determination of gestational age or other adverse outcomes.
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http://dx.doi.org/10.1080/14767058.2016.1263890 | DOI Listing |
Med Care
February 2025
RAND, Health Care, Santa Monica, CA.
Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.
Objectives: To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG.
Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group.
Indian J Nucl Med
November 2024
Department of General Surgery, King George's Medical University, Lucknow, Uttar Pradesh, India.
Background: Distribution and quantification of extra-pulmonary tuberculosis and elicitation of response antitubercular therapy via F18-Fluorodeoxyglucose Positron Emission-based Tomography/ Computed Tomography(F18-FDG PET/CT).
Materials And Methods: This was a prospective Pilot study. In this study 30 patients of age between 15 to 36 years(mean 26.
J Family Med Prim Care
December 2024
World Health Partners, Ahmedabad, Gujarat, India.
Context: The coexistence of tuberculosis (TB) and mental disorder presents a daunting public health challenge. Studies suggest that TB patients often experience co-morbid mental health problems, highlighting a dual burden of illness. However, due to limited research in Gujarat, we cannot draw definitive conclusions or develop targeted mental health interventions for this population.
View Article and Find Full Text PDFJ Family Med Prim Care
December 2024
Indian Council of Medical Research, Ansari Nagar, New Delhi, India.
Background: Cause-of-death (CoD) information is crucial for health policy formulation, planning, and program implementation. Verbal Autopsy (VA) is an approach employed for the collection and analysis of CoD estimates at the population level where medical certification of cause of death is low and, secondly, for integrating it with the existing public health system by utilizing the grassroots level workforce.
Objective: The study aims to understand the field perspectives on implementing the 2022 WHO VA instrument in rural India through the existing public health system.
J Family Med Prim Care
December 2024
Department of Medical Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years.
Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among older adults (45-59 years) and elderly (≥60 years) Indians.
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