No abstract

Cerebral palsy is a major cause of crippling in children, but it's etiology is poorly understood. This case control study was done to assess some of the identified risk factors for cerebral palsy, 125 cerebral palsy cases selected from hospital clinic and 125 age and sex matched neighbourhood controls, all aged less than 5 years and residing in Delhi (India) were studied. Information regarding antenatal, natal and postnatal period was collected by mother's interview, and wherever available, from hospital records with the study subjects. Most common type of cerebral palsy was spastic (88%). Quadriplegia was the commonest topographical subtype (86.4%). Birth asphyxia was found to be present in only 25.6% of cases. The commonest risk factor amongst cases was low birth weight (28.8%). The multivariate odds ratios (confidence limits) for the risk factors found to be significantly associated with cerebral palsy were 36.1 (7.76-160) for birth asphyxia, 13.8 (4.95-38.3) for low birth weight, 37.4 (4.47-313) for neonatal convulsion, 23 (4.7-112) for neonatal jaundice, 14.4 (3.69-56.4) for neonatal infection, 24.9 (2.78-223) for instrument assisted delivery and 15.4 (1.57-152) for antepartum hemorrhage. Precipitate labour, caesarean section, twins, toxemia, breech delivery and head injury were not found to be significantly associated with cerebral palsy. Thus birth asphyxia, low birth weight, neonatal convulsions, neonatal jaundice, neonatal infection, instrument assisted delivery and antepartum hemorrhage are significant risk factors for cerebral palsy.

No abstract

The prevalence of congenital heart disease in children with Down syndrome in Kerala is the highest reported (63.4 %). Ventricular septal defect is the most common heart disease in the present study. The results highlight the changing attitudes of families towards the surgical correction of congenital heart disease in children with Down syndrome. Prevalence of hypothyroidism in Down syndrome in Kerala is 13.6 %.

A total of 446 singleton neonates were subjected to measurements of birthweight, chest circumference (CC) and mid-arm circumference (MAC). A high degree of correlation between birthweight and CC as well as MAC was observed. Chest circumference correlated better with birthweight than MAC. Further analysis of data showed that CC measurements of less than or equal to 30.0 cm and less than or equal to 27.5 cm reliably identify neonates less than 2500 g and less than 2000 g, respectively, with a high degree of specificity and predictive value. The corresponding values for MAC were less than or equal to 9.0 cm and less than or equal to 8.5 cm, respectively. Using these inferences, two tricoloured measuring tapes, one each for CC and MAC, are proposed as simple screening tools for use by primary health workers for identifying low-birthweight neonates in the community without resorting to weighing scales.