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July 15, 2020International Journal of Health Policy and ManagementOpen Access

Prediction of Cardiovascular Disease Mortality in a Middle Eastern Country: Performance of the Globorisk and Score Functions in Four Population-Based Cohort Studies of Iran

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Why the study?

CVD risk prediction is critical for healthcare systems, but information evaluating these models in the Middle East has been limited.

Do the Globorisk and SCORE models accurately predict cardiovascular disease mortality in a Middle Eastern population?

Population

24 427 participants aged 40-80 years from four cohorts in Iran

Comparison

Globorisk vs SCORE risk prediction models

Design

Four population-based cohort studies

Follow-up

154 522 person-years

Authors

NFNoushin FahimfarAFAkbar FotouhiMMMohammad Alì Mansournia

Discussion

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Member takes

Overview

Overestimation by original SCORE/Globorisk may prompt unnecessary interventions in Iran; leaves open need for region-specific recalibration in Middle Eastern cohorts.

Structured PICO

Do the Globorisk and SCORE models accurately predict cardiovascular disease mortality in a Middle Eastern population?

P
Population
24,427 participants (11,187 men) aged 40-80 years from four population-based cohorts in Iran
I
Intervention
Globorisk risk prediction model
C
Comparator
SCORE risk prediction model
O
Outcome
Cardiovascular disease deathhard clinical

Original Globorisk and SCORE models overestimate CVD risk in Iranian populations and require recalibration to accurately predict CVD mortality.

Cite This Study

Fahimfar et al. (2020) studied this question.

synapsesocial.com/papers/6a7441c44f090b99290a4f99https://doi.org/10.34172/ijhpm.2020.103
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