Literature DB >> 31317364

Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study.

Christopher T Rentsch1,2, E Jennifer Edelman3,4, Amy C Justice5,3,4, Brandon D L Marshall6, Ke Xu7, Andrew H Smith7, Stephen Crystal8, Julie R Gaither9,10, Adam J Gordon11, Rachel V Smith12, Rachel L Kember13,14, Renato Polimanti7, Joel Gelernter7,15, David A Fiellin3,4, Janet P Tate5,3, Henry R Kranzler14,16, William C Becker3,10.   

Abstract

A better understanding of predisposition to transition to high-dose, long-term opioid therapy after initial opioid receipt could facilitate efforts to prevent opioid use disorder (OUD). We extracted data on 69,268 patients in the Veterans Aging Cohort Study who received any opioid prescription between 1998 and 2015. Using latent growth mixture modelling, we identified four distinguishable dose trajectories: low (53%), moderate (29%), escalating (13%), and rapidly escalating (5%). Compared to low dose trajectory, those in the rapidly escalating dose trajectory were proportionately more European-American (59% rapidly escalating vs. 38% low); had a higher prevalence of HIV (31% vs. 29%) and hepatitis C (18% vs. 12%); and during follow-up, had a higher incidence of OUD diagnoses (13% vs. 3%); were hospitalised more often [18.1/100 person-years (PYs) vs. 12.5/100 PY]; and had higher all-cause mortality (4.7/100 PY vs. 1.8/100 PY, all p < 0.0001). These measures can potentially be used in future prevention research, including genetic discovery.

Entities:  

Keywords:  Electronic health records; Opioids; Pharmacoepidemiology; Pharmacy fill data; Phenotype

Mesh:

Substances:

Year:  2019        PMID: 31317364     DOI: 10.1007/s10461-019-02608-3

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  4 in total

1.  HIV Infection and the Risk of World Health Organization-Defined Sudden Cardiac Death.

Authors:  Matthew S Freiberg; Meredith S Duncan; Charles Alcorn; Chung-Chou H Chang; Suman Kundu; Asri Mumpuni; Emily K Smith; Sarah Loch; Annie Bedigian; Eric Vittinghoff; Kaku So-Armah; Priscilla Y Hsue; Amy C Justice; Zian H Tseng
Journal:  J Am Heart Assoc       Date:  2021-09-08       Impact factor: 6.106

2.  Genetics and prescription opioid use (GaPO): study design for consenting a cohort from an existing biobank to identify clinical and genetic factors influencing prescription opioid use and abuse.

Authors:  Vanessa Troiani; Richard C Crist; Glenn A Doyle; Thomas N Ferraro; Donielle Beiler; Stephanie Ranck; Kortney McBryan; Margaret A Jarvis; Jordan S Barbour; John J Han; Ryan J Ness; Wade H Berrettini; Janet D Robishaw
Journal:  BMC Med Genomics       Date:  2021-10-26       Impact factor: 3.063

3.  Trajectories and correlates of opioid prescription receipt among patients experiencing interpersonal violence.

Authors:  Jessica R Williams; Ishrat Z Alam; Shabbar I Ranapurwala
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

4.  Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study.

Authors:  E Jennifer Edelman; Yu Li; Declan Barry; Jennifer Brennan Braden; Stephen Crystal; Robert D Kerns; Julie R Gaither; Kirsha S Gordon; Ajay Manhapra; Jessica S Merlin; Brent A Moore; Benjamin J Oldfield; Lesley S Park; Christopher T Rentsch; Melissa Skanderson; Emily C Williams; Amy C Justice; Janet P Tate; William C Becker; Brandon D L Marshall
Journal:  J Acquir Immune Defic Syndr       Date:  2020-05-01       Impact factor: 3.771

  4 in total

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