Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences of Settat, Hassan First University of Settat, Settat, Morocco.
Cardiovasc Ther. 2024 Feb 28;2024:4133365. doi: 10.1155/2024/4133365. eCollection 2024.
. Epidemiological studies conducted in extensive population cohorts have led to the creation of numerous cardiovascular risk predictor models. However, these tools have certain limitations that restrict its applicability. The aim behind the following work is to summarize today's best-known limitations of cardiovascular risk assessment models through presenting the critical analyses conducted in this area, with the intention of offering practitioners a comprehensive understanding of these restrictions. Critical analyses revealed that these scales exhibit numerous limitations that could impact their performance. Most of these models evaluate cardiovascular risk based on classic risk factors and other restrictions, thereby negatively affecting their sensitivity. Scientists have made significant advancements in improving cardiovascular risk models, tailoring them to accommodate a wide range of populations and devising scales for estimating cardiovascular risks that can account for all prevailing restrictions. Better understanding these limitations could improve the cardiovascular risk stratification.
. 广泛的人群队列中的流行病学研究导致了许多心血管风险预测模型的创建。然而，这些工具存在一定的局限性，限制了其适用性。以下工作的目的是通过对该领域进行的批判性分析，总结当今最知名的心血管风险评估模型的局限性，旨在为从业者提供对这些限制的全面理解。批判性分析表明，这些量表存在许多限制，可能会影响它们的性能。这些模型中的大多数都是基于经典的风险因素和其他限制来评估心血管风险的，从而降低了它们的敏感性。科学家们在改进心血管风险模型方面取得了重大进展，使它们能够适应广泛的人群，并制定出能够考虑到所有现有限制的估计心血管风险的量表。更好地理解这些局限性可以改善心血管风险分层。
