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一项针对纽约州阿片类药物中毒的大规模回顾性研究及其对靶向干预的影响。

A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions.

机构信息

Department of Biomedical Informatics, Stony Brook University, 2313D Computer Science, Stony Brook, NY, 11794-8330, USA.

Department of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook, NY, USA.

出版信息

Sci Rep. 2021 Mar 4;11(1):5152. doi: 10.1038/s41598-021-84148-2.

DOI:10.1038/s41598-021-84148-2
PMID:33664282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7933431/
Abstract

Opioid overdose related deaths have increased dramatically in recent years. Combating the opioid epidemic requires better understanding of the epidemiology of opioid poisoning (OP). To discover trends and patterns of opioid poisoning and the demographic and regional disparities, we analyzed large scale patient visits data in New York State (NYS). Demographic, spatial, temporal and correlation analyses were performed for all OP patients extracted from the claims data in the New York Statewide Planning and Research Cooperative System (SPARCS) from 2010 to 2016, along with Decennial US Census and American Community Survey zip code level data. 58,481 patients with at least one OP diagnosis and a valid NYS zip code address were included. Main outcome and measures include OP patient counts and rates per 100,000 population, patient level factors (gender, age, race and ethnicity, residential zip code), and zip code level social demographic factors. The results showed that the OP rate increased by 364.6%, and by 741.5% for the age group > 65 years. There were wide disparities among groups by race and ethnicity on rates and age distributions of OP. Heroin and non-heroin based OP rates demonstrated distinct temporal trends as well as major geospatial variation. The findings highlighted strong demographic disparity of OP patients, evolving patterns and substantial geospatial variation.

摘要

近年来,阿片类药物过量相关死亡人数急剧增加。要应对阿片类药物泛滥问题,就需要更好地了解阿片类药物中毒(OP)的流行病学。为了发现阿片类药物中毒的趋势和模式,以及人口统计学和地区差异,我们分析了纽约州(NYS)大规模的患者就诊数据。对从 2010 年到 2016 年从纽约州规划与研究合作系统(SPARCS)的索赔数据中提取的所有 OP 患者的人口统计学、空间、时间和相关性进行了分析,同时还分析了十年一次的美国人口普查和美国社区调查邮政编码级别的数据。共纳入了 58481 名至少有一次 OP 诊断和有效的 NYS 邮政编码地址的患者。主要结果和措施包括每 10 万人中 OP 患者的人数和比例、患者水平因素(性别、年龄、种族和民族、居住邮政编码)以及邮政编码水平的社会人口统计学因素。结果显示,OP 发生率增加了 364.6%,65 岁以上年龄组增加了 741.5%。不同种族和民族的 OP 发生率和年龄分布存在很大差异。海洛因和非海洛因类 OP 率表现出明显的时间趋势以及主要的地理空间差异。研究结果强调了 OP 患者的强烈人口统计学差异、不断变化的模式和巨大的地理空间差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/97b21223870b/41598_2021_84148_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/4d647e8b291c/41598_2021_84148_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/1ffc26b5151d/41598_2021_84148_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/3a3af6885360/41598_2021_84148_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/97b21223870b/41598_2021_84148_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/4d647e8b291c/41598_2021_84148_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/1ffc26b5151d/41598_2021_84148_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/3a3af6885360/41598_2021_84148_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b2/7933431/97b21223870b/41598_2021_84148_Fig4_HTML.jpg

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JAMA Netw Open. 2019 Jul 3;2(7):e197222. doi: 10.1001/jamanetworkopen.2019.7222.
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Geographic, Temporal, and Sociodemographic Differences in Opioid Poisoning.地理、时间和社会人口统计学因素对阿片类药物中毒的影响
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