School of General Studies, Columbia University, New York, NY.
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY.
Subst Abus. 2021;42(4):654-661. doi: 10.1080/08897077.2020.1823548. Epub 2020 Oct 12.
Despite the increasing rates of morbidity, mortality, and costs from the opioid addiction crisis, there is a paucity of literature on nationwide patterns of opioid abuse and dependence admissions and readmissions. We sought to investigate common comorbidities, readmission rates, and variables associated with readmission following index admission for opioid overdose or dependence. : The 2013 Nationwide Readmission Database is a national database including data on more than 14 million US admissions. We used International Classification of Disease, Ninth Revision, Clinical Modification codes to identify index opioid abuse or dependence admissions, readmissions, and medical co-morbidities. We summarized all-cause readmission rates and reasons for readmission following index opioid dependence or overdose admission. We performed multivariable logistic regression, testing the association between characteristics of index admission and readmission. : 64,426 individuals were admitted for drug overdose or dependence during 2013. Of those, 30.1% were readmitted for all causes within one year and 8.7% were readmitted for opioid overdose or dependence within that year. The most common primary diagnoses on the readmission record were infection, kidney failure, drug related admission, and psychiatric admission. Predictors of readmission were smoking, male sex, younger age, alcohol, bipolar disorder, non-opioid drug use, admission to teaching hospitals in metropolitan areas, and discharge against medical advice. : There is a high all-cause readmission rate following index admission for opioid overdose or dependence and a greater likelihood of readmission among young males with psychiatric comorbidities in metropolitan areas. Targeted interventions to address psychiatric comorbidities and transitions of care may be needed for the high-risk opioid dependence and overdose population.
尽管阿片类药物成瘾危机导致发病率、死亡率和成本不断上升,但关于全国范围内阿片类药物滥用和依赖入院和再入院模式的文献却很少。我们旨在研究常见的合并症、再入院率以及与阿片类药物过量或依赖的索引入院后再入院相关的变量。
2013 年全国再入院数据库是一个包含超过 1400 万美国入院数据的全国性数据库。我们使用国际疾病分类,第九修订版,临床修正代码来确定索引阿片类药物滥用或依赖入院、再入院和医疗合并症。我们总结了所有原因的再入院率和索引阿片类药物依赖或过量入院后再入院的原因。我们进行了多变量逻辑回归,测试索引入院特征与再入院之间的关联。
2013 年,有 64426 人因药物过量或依赖入院。其中,30.1%的人在一年内因各种原因再次入院,8.7%的人在该年内因阿片类药物过量或依赖再次入院。再入院记录上最常见的主要诊断是感染、肾衰竭、与药物相关的入院和精神病入院。再入院的预测因素包括吸烟、男性、年龄较小、酒精、双相情感障碍、非阿片类药物使用、在大都市地区教学医院入院以及未经医嘱出院。
索引阿片类药物过量或依赖入院后有很高的全因再入院率,并且在大都市地区有精神合并症的年轻男性再入院的可能性更大。对于高危阿片类药物依赖和过量人群,可能需要针对精神合并症和护理过渡进行有针对性的干预。