Literature DB >> 32304277

Validating the Framingham Hypertension Risk Score: A 4-year follow-up from the Brazilian Longitudinal Study of the Adult Health (ELSA-Brasil).

Danielli Haddad Syllos1, Vinicius F Calsavara2, Isabela M Bensenor1,3, Paulo A Lotufo1,3.   

Abstract

The Framingham Heart Study published an equation that permits to estimate the 4-year incidence of hypertension among adults. In Brazil, only the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) of 15 105 men and women aged 35-74 years enrolled in 2008-2010 has data that can validate the Framingham Risk Score for Hypertension and create a new equation according to the Brazilian population. We examined the predictive performance of the Framingham Risk Score for Hypertension in the ELSA-Brasil using as an outcome variable, the 4-year incidence of hypertension. We split randomly the 8027 participants who participated in the second visit (2012-2014) and without hypertension at baseline in derivation data set (n = 4825; 60%) and a validation data set (n = 3202 participants; 40%). The area under the curve for Framingham Risk Score for Hypertension and ELSA-Brasil Risk Score was relatively similar. Hosmer-Lemeshow chi-squared statistic applied for the Framingham Risk Score was 3.78 (P-value = .876) and for our model was 8.22 (P-value = .41), disclosing good discrimination and calibration for both models. Even with these classification intervals, our model presents more underestimation of the risk, classifying 15% of the participants with new onset of hypertension in low risk vs 9% of the Framingham model and less overestimation of the risk, classifying 17% of the participants without hypertension as high risk vs 24% of the Framingham model. We concluded that the Framingham Risk Score for Hypertension has an acceptable performance when applied in the ELSA-Brasil population with good discrimination and calibration.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  epidemiology; hypertension; risk assessment

Mesh:

Year:  2020        PMID: 32304277      PMCID: PMC8029849          DOI: 10.1111/jch.13855

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  23 in total

1.  [Reproducibility of arterial pressure measured in the ELSA-Brasil with 24-hour pressure monitoring].

Authors:  Larissa Rangel Nascimento; Maria del Carmen Bisi Molina; Carolina Perim Faria; Roberto de Sá Cunha; José Geraldo Mill
Journal:  Rev Saude Publica       Date:  2013-06       Impact factor: 2.106

2.  Comparison of the Framingham Heart Study hypertension model with blood pressure alone in the prediction of risk of hypertension: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Paul Muntner; Mark Woodward; Devin M Mann; Daichi Shimbo; Erin D Michos; Roger S Blumenthal; April P Carson; Haiying Chen; Donna K Arnett
Journal:  Hypertension       Date:  2010-05-03       Impact factor: 10.190

3.  [Routines of organization of clinical tests and interviews in the ELSA-Brasil investigation center].

Authors:  Isabela M Bensenor; Rosane H Griep; Karina Araújo Pinto; Carolina Perim de Faria; Mariana Felisbino-Mendes; Edna I Caetano; Liliane da Silva Albuquerque; Maria Inês Schmidt
Journal:  Rev Saude Publica       Date:  2013-06       Impact factor: 2.106

4.  Saving 100 million lives by improving global treatment of hypertension and reducing cardiovascular disease risk factors.

Authors:  Thomas R Frieden; Marc G Jaffe
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-01-25       Impact factor: 3.738

5.  Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

6.  Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

7.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Authors:  Karel G M Moons; Douglas G Altman; Johannes B Reitsma; John P A Ioannidis; Petra Macaskill; Ewout W Steyerberg; Andrew J Vickers; David F Ransohoff; Gary S Collins
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

8.  Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants.

Authors: 
Journal:  Int J Epidemiol       Date:  2018-06-01       Impact factor: 7.196

Review 9.  Risk models to predict hypertension: a systematic review.

Authors:  Justin B Echouffo-Tcheugui; G David Batty; Mika Kivimäki; Andre P Kengne
Journal:  PLoS One       Date:  2013-07-05       Impact factor: 3.240

10.  Cohort Profile: Longitudinal Study of Adult Health (ELSA-Brasil).

Authors:  Maria Inês Schmidt; Bruce B Duncan; José Geraldo Mill; Paulo A Lotufo; Dóra Chor; Sandhi Maria Barreto; Estela M L Aquino; Valéria Maria Azeredo Passos; Sheila M A Matos; Maria del Carmen B Molina; Marilia S Carvalho; Isabela M Bensenor
Journal:  Int J Epidemiol       Date:  2014-02-27       Impact factor: 7.196

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  4 in total

1.  Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

Authors:  Mohammad Ziaul Islam Chowdhury; Iffat Naeem; Hude Quan; Alexander A Leung; Khokan C Sikdar; Maeve O'Beirne; Tanvir C Turin
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

2.  A Novel, Low-Cost Glaucoma Calculator to Identify Glaucoma Patients and Stratify Management.

Authors:  Daniel Laroche; Kara Rickford; Elise V Mike; Liane Hunter; Ezekiel Ede; Chester Ng; John Douglas
Journal:  J Ophthalmol       Date:  2022-07-31       Impact factor: 1.974

3.  Validating the Framingham Hypertension Risk Score: A 4-year follow-up from the Brazilian Longitudinal Study of the Adult Health (ELSA-Brasil).

Authors:  Danielli Haddad Syllos; Vinicius F Calsavara; Isabela M Bensenor; Paulo A Lotufo
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-04-18       Impact factor: 3.738

4.  Development and Validation of Decision Rules Models to Stratify Coronary Artery Disease, Diabetes, and Hypertension Risk in Preventive Care: Cohort Study of Returning UK Biobank Participants.

Authors:  José Castela Forte; Pytrik Folkertsma; Rahul Gannamani; Sridhar Kumaraswamy; Sarah Mount; Tom J de Koning; Sipko van Dam; Bruce H R Wolffenbuttel
Journal:  J Pers Med       Date:  2021-12-07
  4 in total

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