严重过敏性休克的未知决定因素--来自大型全国住院数据库的聚类分析

Luciana Kase Tanno , Pham Thao Van Luong , Megane Dieval , Caroline Dunoyer , Nicolas Molinari , Isabella Annesi-Maesano , Pascal Demoly
{"title":"严重过敏性休克的未知决定因素--来自大型全国住院数据库的聚类分析","authors":"Luciana Kase Tanno ,&nbsp;Pham Thao Van Luong ,&nbsp;Megane Dieval ,&nbsp;Caroline Dunoyer ,&nbsp;Nicolas Molinari ,&nbsp;Isabella Annesi-Maesano ,&nbsp;Pascal Demoly","doi":"10.1016/j.jahd.2024.100004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Understanding potential risk factors and phenotypes at-risk of anaphylaxis can tailor public health actions to prevent avoidable deaths. Therefore, our aim was to explore patterns of hospital admissions diagnosed with anaphylaxis in France from 2012 to 2021, across different age groups, using the national French hospital database and to evaluate potential determinants to propose phenotypes at-risk, with a particular view to severe cases.</p></div><div><h3>Methods</h3><p>This is a descriptive study, using data from the French Program for the Medicalization of Information Systems, from 2012 to 2021. We included all patients hospitalized for anaphylaxis using International Classification of Diseases (ICD)-10 codes listed as a primary diagnosis. Potential risk factors were selected according to corresponding ICD codes, available as secondary data of hospitalization. Severe anaphylaxis (SA) was defined based on the need of admissions in intensive care units. To explore the patterns and characteristics, we employed cluster analysis using the clustering large applications algorithm. Charlson comorbidity index (CCI) was used to evaluate comorbidities.</p></div><div><h3>Results</h3><p>During the 9-year study period, 78,453 patients had 86,654 admissions due to anaphylaxis for all-causes. Most of the cases were non-severe anaphylaxis (93.7%), 5.9% were SA, and 0.4% evolved to fatal anaphylaxis (FA). Rate of admissions for SA was 0.08/100,000/year. Seasonal trend of cases of anaphylaxis due to Hymenoptera venoms were shown. Increased severity and risk of death were significantly higher in the elderly. Food-induced anaphylaxis is more frequent in childhood, but SA occurred at adolescence and early adulthood. The CCI was higher in SA and FA. By applying the clustering algorithm CLARA, we identified 3 clusters distributed according to the severity.</p></div><div><h3>Conclusion</h3><p>More than providing a snap shot of potential risk factors for anaphylaxis in France, we were able to suggest phenotypes of anaphylaxis of different severities and to propose actions based on our findings. Although further research is needed in the field, we strongly believe that the data presented may contribute to public health advancements to ensure quality of care of patients suffering from anaphylaxis.</p></div>","PeriodicalId":100752,"journal":{"name":"Journal of Allergy and Hypersensitivity Diseases","volume":"1 ","pages":"Article 100004"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950312424000046/pdfft?md5=e70622df4dda5efc7294de38bf09aff3&pid=1-s2.0-S2950312424000046-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Unraveling determinants of severe anaphylaxis — A cluster analysis from a large national hospitalization database\",\"authors\":\"Luciana Kase Tanno ,&nbsp;Pham Thao Van Luong ,&nbsp;Megane Dieval ,&nbsp;Caroline Dunoyer ,&nbsp;Nicolas Molinari ,&nbsp;Isabella Annesi-Maesano ,&nbsp;Pascal Demoly\",\"doi\":\"10.1016/j.jahd.2024.100004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Understanding potential risk factors and phenotypes at-risk of anaphylaxis can tailor public health actions to prevent avoidable deaths. Therefore, our aim was to explore patterns of hospital admissions diagnosed with anaphylaxis in France from 2012 to 2021, across different age groups, using the national French hospital database and to evaluate potential determinants to propose phenotypes at-risk, with a particular view to severe cases.</p></div><div><h3>Methods</h3><p>This is a descriptive study, using data from the French Program for the Medicalization of Information Systems, from 2012 to 2021. We included all patients hospitalized for anaphylaxis using International Classification of Diseases (ICD)-10 codes listed as a primary diagnosis. Potential risk factors were selected according to corresponding ICD codes, available as secondary data of hospitalization. Severe anaphylaxis (SA) was defined based on the need of admissions in intensive care units. To explore the patterns and characteristics, we employed cluster analysis using the clustering large applications algorithm. Charlson comorbidity index (CCI) was used to evaluate comorbidities.</p></div><div><h3>Results</h3><p>During the 9-year study period, 78,453 patients had 86,654 admissions due to anaphylaxis for all-causes. Most of the cases were non-severe anaphylaxis (93.7%), 5.9% were SA, and 0.4% evolved to fatal anaphylaxis (FA). Rate of admissions for SA was 0.08/100,000/year. Seasonal trend of cases of anaphylaxis due to Hymenoptera venoms were shown. Increased severity and risk of death were significantly higher in the elderly. Food-induced anaphylaxis is more frequent in childhood, but SA occurred at adolescence and early adulthood. The CCI was higher in SA and FA. By applying the clustering algorithm CLARA, we identified 3 clusters distributed according to the severity.</p></div><div><h3>Conclusion</h3><p>More than providing a snap shot of potential risk factors for anaphylaxis in France, we were able to suggest phenotypes of anaphylaxis of different severities and to propose actions based on our findings. Although further research is needed in the field, we strongly believe that the data presented may contribute to public health advancements to ensure quality of care of patients suffering from anaphylaxis.</p></div>\",\"PeriodicalId\":100752,\"journal\":{\"name\":\"Journal of Allergy and Hypersensitivity Diseases\",\"volume\":\"1 \",\"pages\":\"Article 100004\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2950312424000046/pdfft?md5=e70622df4dda5efc7294de38bf09aff3&pid=1-s2.0-S2950312424000046-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Allergy and Hypersensitivity Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2950312424000046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Allergy and Hypersensitivity Diseases","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950312424000046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景了解过敏性休克的潜在风险因素和高危表型可以调整公共卫生行动,预防可避免的死亡。因此,我们的目的是利用法国全国医院数据库,探索 2012 年至 2021 年法国不同年龄组过敏性休克入院诊断的模式,并评估潜在的决定因素,以提出高危表型,尤其是严重病例。我们纳入了所有因过敏性休克住院的患者,这些患者的主要诊断均使用了《国际疾病分类》(ICD)-10代码。我们根据相应的 ICD 代码选择了潜在的风险因素,这些代码可作为住院的辅助数据。严重过敏性休克(SA)是根据重症监护病房的住院需求来定义的。为了探索其模式和特征,我们采用了聚类大型应用算法进行聚类分析。结果在 9 年的研究期间,78453 名患者因过敏性休克入院治疗,其中 86654 人因各种原因入院。大多数病例为非严重过敏性休克(93.7%),5.9%为过敏性休克,0.4%演变为致命性过敏性休克(FA)。过敏性休克入院率为 0.08/100,000/年。膜翅目昆虫毒液引起的过敏性休克病例呈季节性趋势。老年人过敏性休克的严重程度和死亡风险明显更高。食物诱发的过敏性休克多发于儿童期,而过敏性休克则多发于青春期和成年早期。SA和FA的CCI较高。通过应用 CLARA 聚类算法,我们发现了根据严重程度分布的 3 个聚类。结论:我们不仅提供了法国过敏性休克潜在风险因素的快照,还提出了不同严重程度过敏性休克的表型,并根据我们的研究结果提出了行动建议。尽管该领域还需要进一步研究,但我们坚信,所提供的数据可能有助于公共卫生的进步,从而确保过敏性休克患者的护理质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unraveling determinants of severe anaphylaxis — A cluster analysis from a large national hospitalization database

Unraveling determinants of severe anaphylaxis — A cluster analysis from a large national hospitalization database

Background

Understanding potential risk factors and phenotypes at-risk of anaphylaxis can tailor public health actions to prevent avoidable deaths. Therefore, our aim was to explore patterns of hospital admissions diagnosed with anaphylaxis in France from 2012 to 2021, across different age groups, using the national French hospital database and to evaluate potential determinants to propose phenotypes at-risk, with a particular view to severe cases.

Methods

This is a descriptive study, using data from the French Program for the Medicalization of Information Systems, from 2012 to 2021. We included all patients hospitalized for anaphylaxis using International Classification of Diseases (ICD)-10 codes listed as a primary diagnosis. Potential risk factors were selected according to corresponding ICD codes, available as secondary data of hospitalization. Severe anaphylaxis (SA) was defined based on the need of admissions in intensive care units. To explore the patterns and characteristics, we employed cluster analysis using the clustering large applications algorithm. Charlson comorbidity index (CCI) was used to evaluate comorbidities.

Results

During the 9-year study period, 78,453 patients had 86,654 admissions due to anaphylaxis for all-causes. Most of the cases were non-severe anaphylaxis (93.7%), 5.9% were SA, and 0.4% evolved to fatal anaphylaxis (FA). Rate of admissions for SA was 0.08/100,000/year. Seasonal trend of cases of anaphylaxis due to Hymenoptera venoms were shown. Increased severity and risk of death were significantly higher in the elderly. Food-induced anaphylaxis is more frequent in childhood, but SA occurred at adolescence and early adulthood. The CCI was higher in SA and FA. By applying the clustering algorithm CLARA, we identified 3 clusters distributed according to the severity.

Conclusion

More than providing a snap shot of potential risk factors for anaphylaxis in France, we were able to suggest phenotypes of anaphylaxis of different severities and to propose actions based on our findings. Although further research is needed in the field, we strongly believe that the data presented may contribute to public health advancements to ensure quality of care of patients suffering from anaphylaxis.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信