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超越潜在死因:一种研究死亡时多种疾病并存情况的算法

Beyond the underlying cause of death: an algorithm to study multi-morbidity at death.

作者信息

Grippo Francesco, Frova Luisa, Pappagallo Marilena, Barbieri Magali, Trias-Llimós Sergi, Egidi Viviana, Meslé France, Désesquelles Aline

机构信息

Istituto Nazionale di Statistica (ISTAT), Viale Liegi, 13, 00198, Rome, Italy.

Institut National d'Etudes Demographiques (INED) 9 Cours Des Humanités, CS 50004, 93322, Aubervilliers Cedex, Paris, France.

出版信息

Popul Health Metr. 2024 Dec 18;22(1):36. doi: 10.1186/s12963-024-00356-8.

Abstract

BACKGROUND

In countries with high life expectancy, a growing share of the population is living with several diseases, a situation referred to as multi-morbidity. In addition to health data, cause-of-death data, based on the information reported on death certificates, can help monitor and characterize this situation. This requires going beyond the underlying cause of death and accounting for all causes on the death certificates which may have played various roles in the morbid process, depending on how they relate to each other.

METHODS

Apart from the underlying cause, the cause-of death data available in vital registration systems do not differentiate all other causes. We developed an algorithm based on the WHO rules that assigns a "role" to each entry on the death certificate. We distinguish between the following roles: originating (o), when the condition has initiated a sequence of events leading directly to death; precipitating (p), when it was caused by an originating condition or one of its consequences; associated (a), when it contributed to death but was not part of the direct sequence leading to death; ill-defined (i), i.e., conditions such as symptoms or signs or poorly informative causes. We applied this algorithm to all death records in four countries (Italy, France, Spain and the US) in 2017.

RESULTS

The average number of originating causes is similar in the four countries. The proportion of death certificates with more than one originating cause-a situation typical of multi-morbidity-ranges from 10% in the US to 18% in Spain. All ages combined, the proportion of deaths with at least one associated cause is higher in Italy (41%) and in the US (42%) than in France (29%) and in Spain (27%). It is especially high in the US at all adult ages. Variations in the average number of causes between the four countries are mainly due to precipitating and ill-defined causes.

CONCLUSIONS

The output of our algorithm sheds light on cross-country differences in the average number of causes on death certificates. It also opens the door for improvements in the methods used for multiple cause-of-death analysis.

摘要

背景

在预期寿命较高的国家,患有多种疾病的人口比例不断增加,这种情况被称为多重疾病状态。除了健康数据外,基于死亡证明上所报告信息的死因数据有助于监测和描述这种情况。这需要超越根本死因,并考虑死亡证明上所有可能在发病过程中发挥了不同作用的死因,具体取决于它们之间的相互关系。

方法

除根本死因外,生命登记系统中的死因数据并未区分所有其他死因。我们基于世界卫生组织的规则开发了一种算法,为死亡证明上的每个条目赋予一个“角色”。我们区分以下角色:始发(o),即该状况引发了一系列直接导致死亡的事件;促发(p),即它由始发状况或其后果之一引起;关联(a),即它对死亡有影响,但不是导致死亡的直接序列的一部分;定义不明确(i),即诸如症状或体征等状况或信息不足的病因。我们将此算法应用于2017年四个国家(意大利、法国、西班牙和美国)的所有死亡记录。

结果

四个国家的始发原因平均数量相似。有多个始发原因的死亡证明比例——这是多重疾病状态的典型情况——在美国为10%,在西班牙为18%。综合所有年龄段来看,至少有一个关联原因的死亡比例在意大利(41%)和美国(42%)高于法国(29%)和西班牙(27%)。在美国所有成年年龄段尤其高。四个国家之间病因平均数量的差异主要归因于促发原因和定义不明确的原因。

结论

我们算法的输出揭示了各国死亡证明上病因平均数量的差异。它还为改进用于多死因分析的方法打开了大门。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5758/11653578/7ba7f39faa50/12963_2024_356_Fig1_HTML.jpg

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