Suppr超能文献

英格兰 326 个区的事件发生率、院前死亡和住院后死亡对心肌梗死死亡率变化的影响:基于住院和死亡率相关数据的空间分析。

Contributions of event rates, pre-hospital deaths, and deaths following hospitalisation to variations in myocardial infarction mortality in 326 districts in England: a spatial analysis of linked hospitalisation and mortality data.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Department of Cardiology, Imperial College NHS Trust, London, UK.

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.

出版信息

Lancet Public Health. 2022 Oct;7(10):e813-e824. doi: 10.1016/S2468-2667(22)00108-6. Epub 2022 Jul 16.

Abstract

BACKGROUND

Myocardial infarction mortality varies substantially within high-income countries. There is limited guidance on what interventions-including primary and secondary prevention, or improvement of care pathways and quality-can reduce myocardial infarction mortality. Our aim was to understand the contributions of incidence (event rate), pre-hospital deaths, and hospital case fatality to the variations in myocardial infarction mortality within England.

METHODS

We used linked data from national databases on hospitalisations and deaths with acute myocardial infarction (ICD-10 codes I21 and I22) as a primary hospital diagnosis or underlying cause of death, from Jan 1, 2015, to Dec 31, 2018. We used geographical identifiers to estimate myocardial infarction event rate (number of events per 100 000 population), death rate (number of deaths per 100 000 population), total case fatality (proportion of events that resulted in death), pre-hospital fatality (proportion of events that resulted in pre-hospital death), and hospital case fatality (proportion of admissions due to myocardial infarction that resulted in death within 28 days of admission) for men and women aged 45 years and older across 326 districts in England. Data were analysed in a Bayesian spatial model that accounted for similarities and differences in spatial patterns of fatal and non-fatal myocardial infarction. Age-standardised rates were calculated by weighting age-specific rates by the corresponding national share of the appropriate denominator for each measure.

FINDINGS

From 2015 to 2018, national age-standardised death rates were 63 per 100 000 population in women and 126 per 100 000 in men, and event rates were 233 per 100 000 in women and 512 per 100 000 in men. After age-standardisation, 15·0% of events in women and 16·9% in men resulted in death before hospitalisation, and hospital case fatality was 10·8% in women and 10·6% in men. Across districts, the 99th-to-1st percentile ratio of age-standardised myocardial infarction death rates was 2·63 (95% credible interval 2·45-2·83) in women and 2·56 (2·37-2·76) in men, with death rates highest in parts of northern England. The main contributor to this variation was myocardial infarction event rate, with a 99th-to-1st percentile ratio of 2·55 (2·39-2·72) in women and 2·17 (2·08-2·27) in men across districts. Pre-hospital fatality was greater than hospital case fatality in every district. Pre-hospital fatality had a 99th-to-1st percentile ratio of 1·60 (1·50-1·70) in women and 1·75 (1·66-1·86) in men across districts, and made a greater contribution to variation in total case fatality than did hospital case fatality (99th-to-1st percentile ratio 1·39 [1·29-1·49] and 1·49 [1·39-1·60]). The contribution of case fatality to variation in deaths across districts was largest in women aged 55-64 and 65-74 years and in men aged 55-64, 65-74, and 75-84 years. Pre-hospital fatality was slightly higher in men than in women in most districts and age groups, whereas hospital case fatality was higher in women in virtually all districts at ages up to and including 65-74 years.

INTERPRETATION

Most of the variation in myocardial infarction mortality in England is due to variation in myocardial infarction event rate, with a smaller role for case fatality. Most variation in case fatality occurs before rather than after hospital admission. Reducing subnational variations in myocardial infarction mortality requires interventions that reduce event rate and pre-hospital deaths.

FUNDING

Wellcome Trust, British Heart Foundation, Medical Research Council (UK Research and Innovation), and National Institute for Health Research (UK).

摘要

背景

心肌梗死死亡率在高收入国家之间存在很大差异。关于可以降低心肌梗死死亡率的干预措施(包括初级和二级预防,或改善护理途径和质量),指导有限。我们的目的是了解发病率(事件发生率)、院前死亡和医院病死率对英格兰内心肌梗死死亡率变化的贡献。

方法

我们使用了来自 2015 年 1 月 1 日至 2018 年 12 月 31 日期间与急性心肌梗死(ICD-10 编码 I21 和 I22)相关的国家医院入院和死亡数据库中的链接数据,作为主要的医院诊断或死亡的根本原因。我们使用地理标识符来估计 45 岁及以上人群的心肌梗死事件发生率(每 100000 人发生的事件数)、死亡率(每 100000 人死亡的人数)、总病死率(导致死亡的事件比例)、院前病死率(导致院前死亡的事件比例)和 28 天内住院死亡率(因心肌梗死而住院的患者比例),这 326 个区的所有人群。数据分析采用贝叶斯空间模型,该模型考虑了致命和非致命性心肌梗死的空间模式的相似性和差异性。通过为每个措施的相应分母乘以年龄特异性率,计算出标准化后的年龄率。

结果

2015 年至 2018 年,女性的全国标准化死亡率为 63/100000,男性为 126/100000,女性的事件发生率为 233/100000,男性为 512/100000。标准化后,女性中有 15.0%的事件导致死亡,男性中有 16.9%的事件导致死亡,医院病死率在女性中为 10.8%,男性中为 10.6%。在各区中,女性的年龄标准化心肌梗死死亡率第 99 百分位数与第 1 百分位数的比值为 2.63(95%可信区间 2.45-2.83),男性为 2.56(2.37-2.76),死亡率最高的地区在英格兰北部。这种差异的主要原因是心肌梗死事件发生率,女性和男性的第 99 百分位数与第 1 百分位数的比值分别为 2.55(2.39-2.72)和 2.17(2.08-2.27)。在每个区,院前病死率均高于医院病死率。在各区中,女性和男性的院前病死率第 99 百分位数与第 1 百分位数的比值分别为 1.60(1.50-1.70)和 1.75(1.66-1.86),对总病死率的变化贡献大于医院病死率(99 百分位数与第 1 百分位数的比值分别为 1.39(1.29-1.49)和 1.49(1.39-1.60))。在各区中,55-64 岁和 65-74 岁的女性以及 55-64 岁、65-74 岁和 75-84 岁的男性的病死率变化对死亡率的贡献最大。在大多数区和年龄组中,男性的院前病死率略高于女性,而在几乎所有区的女性中,65-74 岁及以下的医院病死率都更高。

解释

英格兰心肌梗死死亡率的大部分变化是由于心肌梗死事件发生率的变化所致,病死率的作用较小。病死率的大部分变化发生在入院前而不是入院后。降低心肌梗死死亡率的亚国家差异需要采取干预措施,降低事件发生率和院前死亡。

资金

惠康信托基金会、英国心脏基金会、英国医学研究理事会(英国创新署)和英国国家卫生研究院。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d5e/10506182/c01804853263/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验