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美国缺血性心脏病相关死亡率趋势(1999 - 2020年)及机器学习预测

Ischemic heart disease-related mortality trends in the United States (1999-2020) and prediction using machine learning.

作者信息

Khalid Noman, Higgins Sabrina Clare, Abdullah Muhammad, Munshi Hasan, Hasnat Mahnoor, Doshi Rajkumar, Michael Patrick, Vasudev Rahul, Fayez Shamoon E, Panza Julio A

机构信息

Department of Internal Medicine, St. Joseph's University Medical Center, Paterson, New Jersey, USA.

Department of Internal Medicine, St. George's University School of Medicine, Grenada, West Indies.

出版信息

Ann Med Surg (Lond). 2025 Jun 10;87(7):4145-4151. doi: 10.1097/MS9.0000000000003377. eCollection 2025 Jul.

Abstract

BACKGROUND

Ischemic heart disease (IHD) remains the leading cause of mortality globally, contributing significantly to rising healthcare costs. This study aims to analyze trends in IHD-related mortality from 1999 to 2020 using data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database.

METHODS

Mortality data from 1999 to 2020 were extracted from the CDC WONDER database, with IHD identified as the primary cause of death (International Classification of Diseases, 10th Revision Codes: I20-I25). Age-adjusted mortality rates (AAMRs) were calculated and analyzed. Trends were assessed using Joinpoint Regression Analysis to determine the annual percentage change (APC). Additionally, predictive modeling was performed using an autoregressive integrated moving average model implemented in Python and Generative Pre-trained Transformer 4.

RESULTS

The study observed a decline in AAMR over the 22-year period, totaling 9 105 056 deaths. The APC revealed a significant decline in mortality rates until 2011 [APC: -4.99, < 0.05, 95% confidence interval (CI): -5.3 to -4.7], followed by a slower decline through 2020 (APC: -2.35, < 0.05, 95% CI: -2.8 to -1.6). Both males (AAMR: 161.4, 95% CI: 161.3-161.6) and females (AAMR: 93.1, 95% CI: 93.0-93.2) experienced a continuous decline in APC until 2018, after which trends began to reverse. African Americans had the highest AAMR (144.1, 95% CI: 143.8-144.3), followed by Whites (125.3, 95% CI: 125.3-125.4), American Indians (106.1, 95% CI: 105.0-107.2), Hispanics (92.9, 95% CI: 92.7-93.2), and Asians (67.1, 95% CI: 66.8-67.4). Geographically, the Mid-Atlantic region exhibited the highest AAMR, followed by the East South-Central region. Among states, Oklahoma had the highest AAMR, followed by New York. Non-metropolitan areas had the highest mortality rates, whereas large-fringe metropolitan areas exhibited the lowest. Predictive analysis suggests a potential plateau or slight increase in mortality rates by 2035 (AAMR: 104.5, 95% CI: 50.05-159.64).

CONCLUSIONS

The observed slowing in the decline of IHD mortality rates and the potential for future increases underscore the need for sustained public health interventions and vigilant surveillance to mitigate the burden of IHD.

摘要

背景

缺血性心脏病(IHD)仍然是全球主要的死亡原因,对不断上升的医疗成本有重大影响。本研究旨在利用疾病控制与预防中心的广泛在线流行病学研究数据(CDC WONDER)数据库,分析1999年至2020年期间与IHD相关的死亡率趋势。

方法

从CDC WONDER数据库中提取1999年至2020年的死亡率数据,将IHD确定为主要死亡原因(国际疾病分类,第10版编码:I20-I25)。计算并分析年龄调整死亡率(AAMR)。使用Joinpoint回归分析评估趋势,以确定年度百分比变化(APC)。此外,使用Python中实现的自回归积分移动平均模型和生成式预训练变换器4进行预测建模。

结果

该研究观察到在22年期间AAMR有所下降,总计9105056例死亡。APC显示,直到2011年死亡率显著下降[APC:-4.99,P<0.05,95%置信区间(CI):-5.3至-4.7],随后到2020年下降速度放缓(APC:-2.35,P<0.05,95%CI:-2.8至-1.6)。男性(AAMR:161.4,95%CI:161.3-161.6)和女性(AAMR:93.1,95%CI:93.0-93.2)的APC直到2018年都持续下降,此后趋势开始逆转。非裔美国人的AAMR最高(144.1,95%CI:143.8-144.3),其次是白人(125.3,95%CI:125.3-125.4)、美国印第安人(106.1,95%CI:105.0-107.2)、西班牙裔(92.9,95%CI:92.7-93.2)和亚洲人(67.1,95%CI:66.8-67.4)。在地理上,大西洋中部地区的AAMR最高,其次是东中南部地区。在各州中,俄克拉荷马州的AAMR最高,其次是纽约州。非都市地区的死亡率最高,而大城市边缘地区的死亡率最低。预测分析表明,到2035年死亡率可能达到平稳或略有上升(AAMR:104.5,95%CI:50.05-159.64)。

结论

观察到的IHD死亡率下降速度放缓以及未来可能上升的情况,凸显了持续进行公共卫生干预和 vigilant surveillance to mitigate the burden of IHD的必要性。 (原文中vigilant surveillance可能有误,结合语境推测可能是“严密监测”之意,但按照要求未做修改)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdcc/12369793/c69b17b6af53/ms9-87-4145-g001.jpg

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