Comparison of original and modified Q risk 2 risk score with Framingham risk score - An Indian perspective

Aggarwal, Priyanka; Sinha, Santosh Kumar; Khanra, Dibbendhu; Nath, Ranjit Kumar; Gujral, Jaskaran Singh; Reddy, Kranthi Kumar; Mukherjee, Anindya

doi:10.1016/j.ihj.2021.01.016

Cited by 6 publications

(6 citation statements)

References 30 publications

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“… 9 , 10 A hospital-based study among attendants of patients, found that 20.4% were at high risk of CVD based on BMI based FRS-CVD scores, which was much higher than the percentage of high risk individuals in our population-based study, which could possibly be attributed to higher family history of CVD in attendants of patients. 18 …”

Section: Discussionmentioning

confidence: 99%

Recalibration of the Framingham risk score for predicting 10-year risk of cardiovascular events: A non-concurrent rural cohort study from Tamil Nadu

Sasikumar¹,

Oommen²,

Mohan³

et al. 2023

Indian Heart Journal

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Section: Discussionmentioning

confidence: 99%

Recalibration of the Framingham risk score for predicting 10-year risk of cardiovascular events: A non-concurrent rural cohort study from Tamil Nadu

Sasikumar¹,

Oommen²,

Mohan³

et al. 2023

Indian Heart Journal

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“…La concordancia observada entre las escalas de Framingham y PROCAM fue del 89 % (w 0,41, p <0,0001), entre Framingham y SCORE 85,7 % (w 0,34, p <0,0001) y entre PROCAM y SCORE 91,7 % (p 0,46, p <0,0001). Por otro lado, dejando de lado las comparaciones de ecuaciones de riesgo, las diferentes escalas para la estimación del riesgo cardiovascular global en la población general podrían subestimar el riesgo real en los pacientes con EPOC, como lo señalan algunos estudios (20,21).…”

Section: Scores Y Riesgounclassified

“…Se realizó la prueba t de Student para evaluar las diferencias entre dos variables. Se empleó el paquete estadístico SPSS para Windows, v. 20.1; Chicago, IL. Resultados: El género masculino fue del 77 % en comparación al femenino 23 %.…”

Section: Introductionunclassified

Evaluación del riesgo cardiovascular mediante tres escalas en una cohorte de pacientes suramericanos con EPOC

Villamizar

2024

Gac Méd Caracas

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Introducción: Se prevé que la enfermedad pulmonar obstructiva crónica (EPOC) sea la tercera causa de muerte en todo el mundo para 2030, se considera que el riesgo cardiovascular en estos pacientes es elevado. Objetivo: Evaluar el riesgo cardiovascular en una cohorte de pacientes suramericanos con EPOC. Métodos: Se realizó un estudio retrospectivo mediante la revisión de historias clínicas en el período de Enero de 2015 – Diciembre 2018.

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“…Modification of QRISK2 including smokeless tobacco has been proven to be an important tool for cardiovascular disease risk stratification among Indians but the age group in QRISK 2 and QRISK 3 is 25–84 years [ 39 , 40 ]. The age group for another important tool, Framinham Risk Score is 30–79 years while for Pooled cohort equation is 40- 79 years [ 41 , 42 ].…”

Section: Limitationsmentioning

confidence: 99%

Cardiovascular disease risk factors among undergraduate medical students in a tertiary care centre of eastern India: a pilot study

Mukhopadhay¹,

Mukherjee

Khanra

et al. 2021

Egypt Heart J

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Background Handful studies report the prevalence of cardiovascular disease (CVD) risk factors among medical students from India and none from the eastern part of the country. Aim To estimate the prevalence of risk factors of CVD and their correlation with CVD risk ratio among the MBBS students from eastern India. Methods 433 students were studied. International Physical Activity Questionnaire-long form was used for assessment of physical activity and Perceived Stress Scale (PSS) to elicit psychological stress levels. Waist-to-height ratio (WHtR) was calculated. Total cholesterol to high-density lipoprotein ratio was calculated as the CVD risk ratio. Results 39.3% were women and 68.6% of the subjects were in junior classes. 22.4% subjects had high PSS while 30% performed low physical activity. Tobacco and alcohol intake was prevalent in 29.3% and 21.0% respectively. High CVD risk ratio was found in 14.3%. Most risk factors were more prevalent among juniors except diabetes. Among the non-overweight and non-obese subjects there was a significant positive correlation between WHtR and CVD risk score (R = 0.33, p < 0.001). 82.7% of the variance in CVD risk ratio could be explained by WHtR, Body mass index, Triglycerides and Low-density lipoprotein (F(7, 425) = 296.085), of which LDL (β = 0.755) contributed the most. Conclusions High prevalence of different modifiable CVD risk factors revealed among the subjects in this study is concerning. WHtR appears promising as an independent early predictor of CVD risk in Indian population. A dedicated CVD risk assessment tool for the young population is necessary.

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Comparison of original and modified Q risk 2 risk score with Framingham risk score - An Indian perspective

Cited by 6 publications

References 30 publications

Recalibration of the Framingham risk score for predicting 10-year risk of cardiovascular events: A non-concurrent rural cohort study from Tamil Nadu

Recalibration of the Framingham risk score for predicting 10-year risk of cardiovascular events: A non-concurrent rural cohort study from Tamil Nadu

Evaluación del riesgo cardiovascular mediante tres escalas en una cohorte de pacientes suramericanos con EPOC

Cardiovascular disease risk factors among undergraduate medical students in a tertiary care centre of eastern India: a pilot study

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