Performance of risk prediction scores for cardiovascular mortality in older persons: External validation of the SCORE OP and appraisal

Piccininni, Marco; Rohmann, Jessica L.; Huscher, Dörte; Mielke, Nina; Ebert, Natalie; Logroscino, Giancarlo; Schäffner, Elke; Kurth, Tobias

doi:10.1371/journal.pone.0231097

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…There are some tools that allow estimating the 10-risk of cardiovascular events (fatal or non-fatal coronary artery disease, stroke, peripheral vascular disease, chronic heart failure, heart death), this is the case of the American model Framingham 8 Risk Score (FRS) equation [2] [3]. The European cardiovascular risk assessment tool named Systemic COronary Risk Estimation (SCORE) equation estimates a 10-year risk of cardiovascular death [4] [5]. Metabolic syndrome (MetS) is a cluster of risk factors associated with cardiovascular diseases and diabetes type 2.…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular Risk Factors among Outpatients: An Alarming Sign of the Epidemiological Transition in Developing Country?

Coulibaly¹,

Samaké²,

Boubacar³

et al. 2021

WJCD

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Background: Noncommunicable diseases are the leading cause of death in the world and low and middle-income countries suffer from preventable premature death. The aim of this study was to assess the risk factors for noncommunicable disease (NCDs) in general and particular cardiovascular diseases (CVDs) among the outpatients of our department of medicine. Methods: We performed a cross-sectional study from April to December 2017 by the consecutive enrollment of outpatients who attended in our department of medicine of Hôpital Sominé DOLO de Mopti, Mali. Clinical and laboratory data were measured for cardiovascular risk assessment. Framingham Risk Score (FRS) and Systemic Coronary Risk Estimation (SCORES) were computed by using Framingham and SCORE equations. Metabolic syndrome was defined using the harmonized criteria from the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI). Data were captured in excel and analyzed with R version 4.0.3. The statistical significance was set at p = 0.05. Results: A total of 292 patients were enrolled in this study. The prevalence of traditional cardiovascular risk factors was 36.64%, 21.57%, 14.04%, and 13.01% for high blood pressure, hyperglycemia, smoking, and alcohol consumption, respectively. The metabolic syndrome accounted for 23.63%.

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Section: Introductionmentioning

confidence: 99%

Cardiovascular Risk Factors among Outpatients: An Alarming Sign of the Epidemiological Transition in Developing Country?

Coulibaly¹,

Samaké²,

Boubacar³

et al. 2021

WJCD

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Development of a prediction model for mortality and cardiovascular outcomes in older adults taking into account AZGP1

Huscher

Ebert

Soerensen-Zender

et al. 2021

Sci Rep

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Zinc-alpha 2-glycoprotein (AZGP1) is a serum protein with postulated functions in metabolism, cancer and cardiovascular disease. We developed new prediction models for mortality or cardiovascular events investigating the predictive potential of serum AZGP1 in a community-based cohort of older adults. We measured AZGP1 (μg/ml) in stored serum samples of 930 individuals of the Berlin Initiative Study, a prospective, population-based cohort of adults aged ≥ 70. We determined the prognostic potential of 20 knowledge-based predictors including AZGP1 for the outcomes of mortality or the composite endpoint of death and cardiovascular events (stroke, myocardial infarction (MI)) using Cox models; their model fit was evaluated with calibration plots, goodness-of-fit tests and c-indices. During median follow-up of 48.3 months, 70 incident strokes, 38 incident MI and 234 deaths occurred. We found no associations or correlations between AZGP1 and other candidate variables. After multivariable Cox regression with backward-selection AZGP1 remained in both models for mortality (HR = 0.44, 95%CI: 0.24–0.80) and for the composite endpoint (HR = 0.43, 95%CI: 0.23–0.82). Within newly built prediction models, we found that increased AZGP1 levels were predictive for lower risk of mortality and the composite endpoint in older adults. AZGP1 as a predictor warrants further validation in older adults.

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Kidney Function as Risk Factor and Predictor of Cardiovascular Outcomes and Mortality Among Older Adults

Kühn

Giet

Kuhlmann

et al. 2021

American Journal of Kidney Diseases

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Performance of risk prediction scores for cardiovascular mortality in older persons: External validation of the SCORE OP and appraisal

Cited by 4 publications

References 38 publications

Cardiovascular Risk Factors among Outpatients: An Alarming Sign of the Epidemiological Transition in Developing Country?

Cardiovascular Risk Factors among Outpatients: An Alarming Sign of the Epidemiological Transition in Developing Country?

Development of a prediction model for mortality and cardiovascular outcomes in older adults taking into account AZGP1

Kidney Function as Risk Factor and Predictor of Cardiovascular Outcomes and Mortality Among Older Adults

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