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伊朗心肌梗死死亡估计:人工神经网络。

Estimation of myocardial infarction death in Iran: artificial neural network.

机构信息

Cabrini Research, Cabrini Health, Melbourne, VIC, 3144, Australia.

School of Public Health and Preventative Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, 3800, Australia.

出版信息

BMC Cardiovasc Disord. 2022 Oct 7;22(1):438. doi: 10.1186/s12872-022-02871-8.

DOI:10.1186/s12872-022-02871-8
PMID:36207680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9547455/
Abstract

BACKGROUND

Examining past trends and predicting the future helps policymakers to design effective interventions to deal with myocardial infarction (MI) with a clear understanding of the current and future situation. The aim of this study was to estimate the death rate due to MI in Iran by artificial neural network (ANN).

METHODS

In this ecological study, the prevalence of diabetes, hypercholesterolemia over 200, hypertension, overweight and obesity were estimated for the years 2017-2025. ANN and Linear regression model were used. Also, Specialists were also asked to predict the death rate due to MI by considering the conditions of 3 conditions (optimistic, pessimistic, and probable), and the predicted process was compared with the modeling process.

RESULTS

Death rate due to MI in Iran is expected to decrease on average, while there will be a significant decrease in the prevalence of hypercholesterolemia 1.031 (- 24.81, 26.88). Also, the trend of diabetes 10.48 (111.45, - 132.42), blood pressure - 110.48 (- 174.04, - 46.91) and obesity and overweight - 35.84 (- 18.66, - 5.02) are slowly increasing. MI death rate in Iran is higher in men but is decreasing on average. Experts' forecasts are different and have predicted a completely upward trend.

CONCLUSION

The trend predicted by the modeling shows that the death rate due to MI will decrease in the future with a low slope. Improving the infrastructure for providing preventive services to reduce the risk factors for cardiovascular disease in the community is one of the priority measures in the current situation.

摘要

背景

了解过去的趋势并预测未来有助于政策制定者在清楚了解当前和未来情况的基础上,设计有效的干预措施来应对心肌梗死 (MI)。本研究旨在使用人工神经网络 (ANN) 估计伊朗因 MI 导致的死亡率。

方法

在这项生态研究中,估计了 2017-2025 年期间糖尿病、胆固醇超过 200、高血压、超重和肥胖的流行率。使用了人工神经网络和线性回归模型。此外,还要求专家考虑 3 种情况(乐观、悲观和可能)预测因 MI 导致的死亡率,并将预测过程与建模过程进行比较。

结果

伊朗因 MI 导致的死亡率预计将平均下降,而胆固醇升高的流行率将显著下降 1.031(-24.81,26.88)。此外,糖尿病的趋势为 10.48(111.45,-132.42)、血压-110.48(-174.04,-46.91)和肥胖和超重-35.84(-18.66,-5.02)呈缓慢上升趋势。伊朗男性因 MI 导致的死亡率较高,但平均呈下降趋势。专家的预测结果不同,他们预测出完全上升的趋势。

结论

建模预测的趋势表明,未来 MI 死亡率将呈下降趋势,斜率较低。改善提供预防服务的基础设施,以减少社区心血管疾病的风险因素,是当前情况下的优先措施之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/8ecb3e845f78/12872_2022_2871_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/640fb0a91c85/12872_2022_2871_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/530bdccb9548/12872_2022_2871_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/14d810350581/12872_2022_2871_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/8ecb3e845f78/12872_2022_2871_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/640fb0a91c85/12872_2022_2871_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/530bdccb9548/12872_2022_2871_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/14d810350581/12872_2022_2871_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a85b/9547455/8ecb3e845f78/12872_2022_2871_Fig4_HTML.jpg

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本文引用的文献

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Social, Economic, Technological, and Environmental Factors Affecting Cardiovascular Diseases: A Systematic Review and Thematic Analysis.影响心血管疾病的社会、经济、技术和环境因素:系统评价与主题分析
Int J Prev Med. 2022 Apr 27;13:78. doi: 10.4103/ijpvm.IJPVM_105_20. eCollection 2022.
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Alexithymia is a determinant of early death in the long-term course of post-myocardial infarction.述情障碍是心肌梗死后长期病程中早期死亡的一个决定因素。
J Public Health Res. 2022 Mar 16;11(2):2803. doi: 10.4081/jphr.2022.2803.
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Levels and Trends of BMI, Obesity, and Overweight at National and Sub-national Levels in Iran from 1990 to 2016; A Comprehensive Pooled Analysis of Half a Million Individuals.
1990 年至 2016 年伊朗国家和次国家层面的 BMI、肥胖和超重水平及趋势;对 50 多万人的综合合并分析。
Arch Iran Med. 2021 May 1;24(5):344-353. doi: 10.34172/aim.2021.51.
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Levels and Trends of Hypertension at National and Subnational Scale in Iran from 1990 to 2016: A Systematic Review and Pooled Analysis.伊朗 1990 年至 2016 年的国家和次国家高血压水平和趋势:系统评价和汇总分析。
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Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: results from global burden of disease study 2017.心血管疾病死亡率、发病率及死亡率与发病率之比的趋势分析:全球疾病负担研究2017结果
BMC Public Health. 2021 Feb 25;21(1):401. doi: 10.1186/s12889-021-10429-0.
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National trends in cardiovascular health metrics among Iranian adults using results of three cross-sectional STEPwise approaches to surveillance surveys.利用三种 STEPwise 监测调查的横断面研究结果,评估伊朗成年人心血管健康指标的国家趋势。
Sci Rep. 2021 Jan 8;11(1):58. doi: 10.1038/s41598-020-79322-x.
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PLoS One. 2020 Dec 3;15(12):e0243055. doi: 10.1371/journal.pone.0243055. eCollection 2020.
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