Abstract. Objecgve : To quantify the coronary risk score in children and/or grandchildren of patients with coronary artery diseae (CAD). Megmds: One hundred ...
Quantification of Coronary Risk Score Tejinder Singh, S h u b h r o S u m i t M u l l i c k , 1 R a j n e e s h C a l t o n , 2 R e b e c c a A b r a h a m 3 a n d G u r m e e t K a u r 1
IDepartments of Pediatrics, 2Cardiology and 3Biochemistry, Christian Medical College & Hospital, Ludhiana Abstract. Objecgve : To quantify the coronary risk score in children and/or grandchildren of patients with coronary artery diseae (CAD). Megmds: One hundred and fifty children with positive family history of CAD (cases) and age and sex matched children with no such history (controls) were enrolled in the study. Fasting blood sugar, serum cholesterol and triglycerides were estimated on all children and a risk score was calculated using Nora's scheme. Result: The cases and controls were similar with respect to mean age, six distribution, mean weight and mean height. None of the child was hypertensive. Mean serum levels of triglyceddes were 164.7 m/dl and 105.7 rag% respectively in cases and controls (p220 mg/dl) and triglycerides >120mg/dl. 5 Data thus collected were used to construct a risk score using Nora's schemes. A correlation of risk score findings with positive family history of CAD and other variables was drawn up. The data was analysed using Epi Info 6 programme. Chi square Test was used to check for difference between the case and cotrol group in distribution of base line variables. Distribution of demographic variables was compared using Student-t test. Bartlett's test for homogeneity was run on all data. If it showed variances in the sample to differ, then nonparametric tests like Kruskal-Wallis were used to make comparisons. The chi-square test was applied using Mantel Haenszel formula and if any variable in a table was less than 5, the significance was calculated using Fisher Exact Test and Two tailed results were given. RESULTS
The profile of study and control groups has been shown in 27
Tejender Singh et al T a b l e 1. T h e s t u d y a n d t h e c o n t r o l g r o u p s w e r e c o m p a r a b l e w i t h respect to m e a n age, sex distribution, socio-economic status (SES), weight, and blood pressure m e a s u r e m e n t s . The v a l u e s of b i o c h e m i c a l p a r a m e t e r s b e t w e e n the t w o g r o u p s h a v e b e e n s h o w n in Table 1. While the m e a n values of cholesterol and FBS were higher in cases, the differences are n o t significant. H o w e v e r , cases h a d a s i g n i f i c a n t l y h i g h e r m e a n level of s e r u m triglycerides. Almost equal proportion of children in both the groups had hyper-cholesterolemia but severe h y p e r c h o l e s t e r o l e m i a w a s s e e n o n l y in cases. T h e prevalence of (Table 2) hypertriglyceridemia was almost 3 times in cases as c o m p a r e d to control (p220 (mg/dl) Cholesterol 190-220 (mg/dl) Triglycerides >120 (mg/dl) Blood sugar >100 (mg/dl)
Controls
P
4.7 10 61.3 47.3
-
>0.05 >0.05 0.05
Figures are in percentages TABLE3. Multivariate Analysis for Hyper Triglyceridemia
