Suppr超能文献

在为无家可归者提供的医疗监督过量预防计划中,物质使用和中毒模式。

Substance consumption and intoxication patterns in a medically supervised overdose prevention program for people experiencing homelessness.

机构信息

Institute for Research, Quality, and Policy in Homeless Health Care, Boston Health Care for the Homeless Program, Boston, Massachusetts, USA.

Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.

出版信息

Subst Abus. 2021;42(4):851-857. doi: 10.1080/08897077.2021.1876201. Epub 2021 Feb 22.

Abstract

Opioid overdose is a leading cause of death among homeless individuals. Combining psychoactive substances with opioids increases overdose risk. This study aimed to describe intoxication patterns at a drop-in space offering medical monitoring and harm reduction services to individuals who arrive intoxicated and at risk of overdose. We examined data from visits to the Supportive Place for Observation and Treatment at Boston Health Care for the Homeless Program between January 1, 2017 and December 31, 2017. We used k-means cluster analysis to characterize intoxication patterns based on clinically assessed sedation levels and vital sign parameters. Multinomial logistic regression analysis assessed demographic and substance consumption predictors of cluster membership. Linear and logistic regression models examined associations between cluster membership and care outcomes. Across 305 care episodes involving 156 unique patients, cluster analysis revealed 3 distinct intoxication patterns. Cluster A (26.6%) had mild sedation and normal vital signs. Cluster B (44.5%) featured greater sedation with bradycardia and/or hypotension. Cluster C (28.9%) was comparable to cluster B but with the addition of hypoxia. Self-reported consumption of non-opioid sedatives prior to arrival was common (63.3% of episodes) and predicted membership in cluster B (aOR 2.75, 95% CI 1.40, 5.40) and cluster C (aOR 3.38, 95% CI 1.48, 7.70). In comparison to cluster A episodes, cluster C episodes were longer (mean 4.8 vs. 2.3 hours,  < 0.001) and more likely to require supplemental oxygen (27.3% vs. 2.5%,  < 0.001). Few episodes required hospital transfer (4.7%) or naloxone (1.0%). No deaths occurred. In a medically supervised overdose monitoring program, reported use of non-opioid sedatives strongly predicted more complex clinical courses and should be factored into overdose prevention efforts. Low-threshold medical monitoring in an ambulatory setting was sufficient for most episodes, suggesting a role for such programs in reducing harm and averting costly emergency services.

摘要

阿片类药物过量是无家可归者死亡的主要原因。将精神活性物质与阿片类药物混合使用会增加过量用药的风险。本研究旨在描述在为因吸毒而导致意识不清且有过量用药风险的个体提供医疗监测和减少伤害服务的救助站中出现的中毒模式。我们分析了 2017 年 1 月 1 日至 12 月 31 日期间波士顿无家可归者医疗保健计划中观察与治疗支持场所就诊的 156 名个体的 305 次就诊的数据。我们使用 K 均值聚类分析根据临床评估的镇静水平和生命体征参数对中毒模式进行特征描述。多变量逻辑回归分析评估了聚类成员的人口统计学和物质使用预测因素。线性和逻辑回归模型研究了聚类成员与护理结局之间的关系。在涉及 156 名个体的 305 次就诊中,聚类分析揭示了 3 种不同的中毒模式。聚类 A(26.6%)表现为轻度镇静和正常生命体征。聚类 B(44.5%)特征为镇静程度更大,伴心动过缓和/或低血压。聚类 C(28.9%)与聚类 B 相似,但伴有缺氧。就诊前报告摄入非阿片类镇静剂的情况较为常见(63.3%的就诊),并预测聚类 B(优势比 2.75,95%置信区间 1.40,5.40)和聚类 C(优势比 3.38,95%置信区间 1.48,7.70)的成员身份。与聚类 A 就诊相比,聚类 C 就诊时间更长(平均 4.8 小时比 2.3 小时, < 0.001),且更有可能需要补充氧气(27.3%比 2.5%, < 0.001)。少数就诊需要转院(4.7%)或使用纳洛酮(1.0%)。没有死亡发生。在医疗监督下的过量药物监测计划中,报告使用非阿片类镇静剂强烈预测更复杂的临床过程,应将其纳入预防过量用药的工作中。在流动环境中进行低门槛的医疗监测对大多数就诊都足够了,这表明此类计划在减少伤害和避免昂贵的紧急服务方面发挥了作用。

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