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ArticleCurrent diabetes reviews2024

Prediction of Different Risk Factors in Relation to Hyperlipidemia Using Framingham Risk Score and Cholesterol Risk Score in a Tertiary Care Hospital.

Abrar Ahmad Zargar, Ranjeet Kumar, Amit Sharma

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Article in Current diabetes reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Abrar Ahmad ZargarDepartment of Pharmacy Practice, ISF College of Pharmacy, Moga, Punjab, India.
Ranjeet KumarDepartment of Pharmacy Practice, ISF College of Pharmacy, Moga, Punjab, India.
Amit SharmaDepartment of Pharmacy Practice, ISF College of Pharmacy, Moga, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA condition that affects the circulatory system of the human body is referred to as a cardiovascular disease (CVD). Cardiovascular diseases (CVDs) are responsible for a significant number of fatalities globally. Annually, CVDs result in the demise of 17.9 million people, which accounts for 31% of all fatalities on a global scale.

objectiveThe objective of the study was to assess the demographic profile of diabetic and nondiabetic patients suffering from cardiovascular disease. The aim of the study is to predict risk factors in relation to hyperlipidaemia using two different scales, the Framingham Risk Scale (FRS) and the Cholesterol Risk Calculator (CRC), and to determine the frequency of hypercholesterolemia in relation to CVD.

methodsA cross-sectional study was conducted in Guru Gobind Singh Medical College and Hospital, Punjab, India.

resultsThe mean age of patients was found to be M= (51.23), SD= (9.348) years, and among 331 patients (52.6%) were female patients. The mean of Framingham Risk Score was found to be (29.07%). The Framingham Risk Score was found significant with gender and calorie intake below the recommended dietary allowances of the patient (p=0.001). The Framingham Risk Score was found significant with physical activity and employment status of the patients (p= 0.001). In linear regression, the Framingham Risk Score was found significant with the lipid profile of the patients (p=0.001) i.e., the higher the value of cholesterol level, the higher the Framingham Risk Score. The chi-square test showed a significant relation between Cholesterol Risk Score and employment status, physical activity, calorie intake, gender, and occupation of the patients (p=0.001, p=0.001, p=0.001, p=0.004) respectively.

conclusionThe present study demonstrated that patients with high Framingham risk score and cholesterol risk score are at increased risk of diabetes and cardiovascular disease. The present study concludes that the FRS is higher in patients below RDA, patients doing low physical activity, and sedentary workers. In order to provide proper assistance and counselling, healthcare professionals must continuously analyze each patient's risk factor for CVD and barriers to healthy and preventive behaviors. There is a lack of comprehensive studies comparing the effectiveness of the Framingham Risk Score and Cholesterol Risk Score in predicting hyperlipidemia and associated cardiovascular risks within the context of a tertiary care hospital setting.

Indexed as

Cardiovascular DiseasesHyperlipidemiasTertiary Care CentersAdultAgedCholesterolCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedRisk AssessmentRisk FactorsCholesterolcholesterol risk scoreCVDdiabetesFramingham risk scorehypercholesterolemia.hyperlipidemia

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.