Onohuean Hope, Oosthuizen Frasia
Biopharmaceutics Unit, Department of Pharmacology and Toxicology, Kampala International University Western Campus, Ishaka-Bushenyi, Uganda.
Discipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Front Psychiatry. 2024 Jan 5;14:1290461. doi: 10.3389/fpsyt.2023.1290461. eCollection 2023.
The global or multinational scientific evidence on the distribution of opioid fatality is unknown. Hence, the current study collects epidemiological characteristics to shed light on the ongoing global or multinational opioid crisis and to promote the development of public health prevention/management strategies.
All documents on PRISMA standards were retrieved via electronic databases.
Among the 47 articles relevant to our studies, which depict a total population size of 10,191 individuals, the prevalence of opioid fatal overdose was 15,022 (14.74%). Among the 47 articles, 14 of them reported the gender of the participants, with 22,125 (15.79%) male individuals and 7,235 (5.17%) female individuals, and the age distribution of the participants that was most affected by the overdose was as follows: 29,272 (31.13%) belonged to the 18-34-year-old age group and 25,316 (26.92%) belonged to the less than 18-year-old age group. Eighteen studies qualified for the meta-analysis of the multinational prevalence of fatal opioid overdose, depicting an overall pooled prevalence estimate of 19.66%, with 95% CIs (0.13-0.29), = 99.76% determined using the random-effects model, and Q statistic of 7198.77 ( < 0.0001). The Egger test models of publication bias revealed an insubstantial level of bias ( = 0.015). The subgroup analysis of the study design (cohort or other) revealed that others have the highest prevalence estimate of 34.37, 95% CIs (0.1600-0.5901), = 97.04%, and a sample size of less than 1,000 shows the highest prevalence of 34.66, 95% CIs (0.2039-0.5234), = 97.82%, compared to that of more than 1,000 with a prevalence of 12.28, 95% CIs (0.0675-0.2131), = 99.85%. The meta-regression analysis revealed that sample size (less-than or greater-than 1,000), ( = 0.0098; R = 3.83%) is significantly associated with the observed heterogeneity.
Research-based findings of fatal opioid overdose are grossly lacking in middle- and low-income nations. We established that there is a need for opioid fatality surveillance systems in developing nations.
全球或跨国层面关于阿片类药物致死分布的科学证据尚不明确。因此,本研究收集流行病学特征,以阐明当前全球或跨国阿片类药物危机,并推动公共卫生预防/管理策略的发展。
通过电子数据库检索所有符合PRISMA标准的文献。
在与我们研究相关的47篇文章中,描述的总人口规模为10191人,阿片类药物致命过量的患病率为15022例(14.74%)。在这47篇文章中,14篇报告了参与者的性别,其中男性个体22125例(15.79%),女性个体7235例(5.17%),受过量影响最大的参与者年龄分布如下:29272例(31.13%)属于18 - 34岁年龄组,25316例(26.92%)属于18岁以下年龄组。18项研究符合对致命阿片类药物过量的跨国患病率进行荟萃分析的条件,总体合并患病率估计为19.66%,95%置信区间为(0.13 - 0.29),使用随机效应模型确定的I² = 99.76%,Q统计量为7198.77(P < 0.0001)。发表偏倚的Egger检验模型显示偏倚程度不显著(P = 0.015)。研究设计(队列研究或其他)的亚组分析表明,其他研究的患病率估计最高,为34.37,95%置信区间为(0.1600 - 0.5901),I² = 97.04%,样本量小于1000的研究显示患病率最高,为34.66,95%置信区间为(0.2039 - 0.5234),I² = 97.82%,而样本量大于1000的研究患病率为12.28,95%置信区间为(0.0675 - 0.2131),I² = 99.85%。荟萃回归分析表明,样本量(小于或大于1000)(P = 0.0098;R² = 3.83%)与观察到的异质性显著相关。
中低收入国家严重缺乏基于研究的阿片类药物致命过量的研究结果。我们确定发展中国家需要建立阿片类药物致死监测系统。