The Association Between Body Mass Index and Parental History of Hypertension Among Young Indian Adults.

BACKGROUND: Hypertension is a disease of multifactorial etiology. Individuals with parental history of hypertension (PHH) have also been observed to be at an increased risk of developing hypertension in their adult life. However, there is a dearth of studies among youth. Obesity is one of the risk factors, and studies conducted among adults of all age groups have observed that there is a highly significant correlation between hypertension and body mass index (BMI). Hence, the association between the two factors, viz., parental history of hypertension and BMI, among the young Indian male and female population was analyzed in this study. METHOD: This cross-sectional study conducted in Central India comprised 100 young adults between 18 and 25 years of age. On the basis of parental history of hypertension, the subjects were divided into two groups: group 1 comprised youth with parental history of hypertension and group 2 comprised youth without parental history of hypertension, involving 32 and 68 subjects in each of these groups, respectively. Anthropometric measurements were done using standard methods, and BMI was calculated. Statistical analysis was done using Epi Info software. RESULTS: The study subjects in both groups were comparable in age. The mean age of the study participants was 19.32 years and 19.45 years in group 1 and group 2, respectively. The study did not find any association between BMI and parental history of hypertension. CONCLUSION: The association between parental history of hypertension and BMI, the non-modifiable and modifiable independent risk factors, respectively, needs to be further explored in light of the iceberg phenomenon, multifactorial causation, and natural history of disease. It is worth mentioning that parental history of hypertension and other risk factors should be considered even if the BMI is normal as per Asian Indian cutoff levels.

Study to evaluate the relation between weight gain in infants and occurrence of retinopathy of prematurity.

Purpose: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Capturing serial daily postnatal weight gain can act as an innovative, low-cost method of risk stratification. We aim to study the relation between weight gain in infants and occurrence of ROP. Methods: The prospective, observational study was conducted on 62 infants. ROP screening was done based on the Rashtriya Bal Swasthya Karyakram (RBSK) criteria. Infants were classified into no ROP (n = 28), mild ROP (n = 8), and treatable ROP (n = 26) groups. Average daily postnatal weight gain was measured and its relation to development of ROP was studied. All statistical calculations were done using Statistical Package for the Social Sciences (SPSS) 21 version (SPSS Inc., Chicago, IL, USA) statistical program for Microsoft Windows. Results: Mean rate of weight gain in no ROP group, mild ROP group, and treatable ROP group was 33.12, 27.19, and 15.31 g/day, respectively (P = 0.001). Mean gestational age and birth weight in treatable group (n = 26) were 31.38 weeks and 1572.31 g, respectively. Receiver operating curve analysis revealed a cutoff of 29.33 g/day for ROP and 21.91 g/day for severe ROP. Conclusion: We concluded that, babies with poor weight gain of below 29.33 g/day are at high risk for ROP and babies with wight gain of 21.91 g/day are at high risk for severe ROP. These babies should be followed meticulously. So, the rate of weight gain of a preterm can help us to prioritize babies.

Usefulness of Children's Hospital of Philadelphia ROP (CHOP ROP) model in the prediction of type 1 ROP.

Purpose: Children's Hospital of Philadelphia retinopathy of prematurity (CHOP ROP) model can be used to predict ROP, a leading cause of childhood blindness, using risk factors such as postnatal weight gain, birth weight (BW), and gestation age (GA). The purpose of this study was to determine the usefulness of the CHOP ROP for the prediction of treatable ROP. Methods: This was a prospective observational study. Babies <34 weeks of GA, BW <2000 grams, and GA 34-36 weeks with risk factors such as respiratory distress syndrome (RDS) were included; ROP screening, follow-up, and treatment were performed based on national guidelines. The average daily postnatal weight gain was measured, and the CHOP nomogram was plotted. Babies were categorized as high risk or low risk based on the "CHOP" alarm. The sensitivity and specificity of the CHOP ROP for the detection of treatable ROP were determined. In case of poor sensitivity, a new cutoff alarm level was planned using logistic regression analysis. Results: Of 62 screened infants, 23 infants did not fulfill the criteria of the CHOP algorithm and were excluded. Thus, in the study on 39 infants, the predictive model with an alarm level of 0.014 had 100% specificity and 20% sensitivity. With the "new" alarm level (cutoff) of 0.0003, the CHOP nomogram could detect all the infants who developed treatable ROP, that is, sensitivity increased to 100% but specificity decreased to 10.5%. Conclusion: The CHOP ROP model with a cutoff point (0.014) performed poorly in predicting severe ROP in the study. Thus, there is a need to develop inclusive and more sensitive tailor-made algorithms.