Left ventricular mass and left ventricular mass index in normal malay primary school children.
Left ventricular mass (LVM) and Left ventricular mass Index (LVMI) are two parameters that are considered important in predicting the outcomes of cardiovascular diseases in adults. Even though there are a lot of interest in the problem of left ventricular hypertrophy in children,there is relatively...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/60982/1/DR%20FAZILA%20BINTI%20MAT%20ARIFIN%20-%20e.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Left ventricular mass (LVM) and Left ventricular mass Index (LVMI) are two parameters that are considered important in predicting the outcomes of cardiovascular diseases in adults. Even though there are a lot of interest in the problem of left ventricular hypertrophy in children,there is relatively little published data on normal values of the left ventricular mass (LVM) during the developmental age.
A cross sectional study was conducted from October to November, 2009 at Sekolah Kebangsaan Lundang, Kota Bharu. Normal primary school children from
preschool, Standard 2, 4 and 6 were included in this study. Children with history of heart problem or hypertension, abnormal physical examination or echocardiogram findings and abnormal BMI were excluded. A set of questionnaires and consent were obtained from parents prior to the examination. Physical examination, weight, height, blood pressure and echocardiogram measurements were recorded.
LVM measurement was calculated by echocardiogram machine and LVMI was calculated by dividing LVM
to height in meter power of 2.7 (LVM/height2'). Percentile charts were created from the data available according to age, weight, height. BSA and BMI. The factors affecting LVM and LVMI were identified using simple linear regression (SLR). Multiple linear regressions (MLR)was performed to determine the final model affecting LVM and LVMI. The most acceptable percentile chart in our study was percentile chart according to age.
Factors affecting LVM were age, weight, height, BMI, BSA and SBP. While factors affecting LVMI were age, weight, height and BSA. Echocardiogram measurements found that aortic root, aortic arch and MV annulus affect LVM, whereas aortic root (annulus), aortic arch, Left atrium and MV annulus affect LVMI. From multiple linear regressions, we identified that weight and SBP had strong correlation with LVM while age, SBP and height had strong correlation with LVMI.
We have provided a pilot percentile chart for LVM and LVMI of normal school children between aged 5 to 12 years old but larger sample size would be able to produce a better percentile chart. LVM was most affected by weight and SBP whereas LVMI were affected by age, SBP and height. We provided a formula to estimate the LVM (r2=0.24) and LVMI (r2= 0.40) with standard error of 22.97 and 13.74. The formula as below:
LVM (g) = -6.81 + I.05(weight in kg) + 0.42(SBP in mmHg)
LVMI = 94.23+1.87(age in years) -80.32(height in meters) +0.26(SBP in mmHg) |
|---|