Clinical Study of Lipid Profile in Intracerebral Haemorrhage in Tertiary care Center
DOI:
https://doi.org/10.37506/aajqa435Keywords:
Intracerebral haemorrhage, lipid profile, serum cholesterol, triglyceride, HDL-C, LDL-C, VLDL-CAbstract
Background: Stroke caused by Intracerebral haemorrhage (ICH) has high mortality rate. Among various risk factors for ICH, hypertension is the most important factor. Certain population studies have reported a paradox of inverse association between serum cholesterol and risk of ICH.
Aims and objectives: The study aim was to evaluate the serum lipid profile total cholesterol (TC), triglycerides (TGL), high density cholesterol (HDL-C), very low density cholesterol (VLDL-C) and low density cholesterol (LDL-C) in intracerebral haemorrhage patients and look for correlation.
Methods: 50 patients with ICH admitted in Chalmeda Anand Rao Institute of Medical Sciences, Karimnagar who fulfilled the inclusion and exclusion criteria were selected. The study design was a hospital based observational clinical study. History, clinical examination and investigations (CT & MRI Brain and basic blood biochemistry with serum lipid profile) were collected and the data were analysed statistically.
Results: Majority of the ICH patients in our study were >55 years and were males. The total serum cholesterol was < 200mg/dl in 72 % of our patients, with a mean of 168.09 ±43.74mg%. Serum triglyceride level was patients, with mean of 108.26±43.31mg%. HDL-C was < 40 mg/dl in 76% of patients and VLDL-C was < 30mg/dl in 72% patients. The various lipid fractions observed were found to be low in majority of our ICH patients (p value < 0.05), suggesting a negative association between the two. The results obtained were comparable to other similar studies.
Conclusion: Majority of intracerebral haemorrhage patients in our study had lower levels of total cholesterol, triglyceride, HDL-C, LDL-C and VLDL-C. Whether the inverse association between serum lipid levels and ICH is a true causal association or only by chance due to other common confounding factors needs to be evaluated with large scale studies.
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