Discovering opioid users' medical comorbidities: a data mining approach.
Background: To combat the opioid crisis, scholars have investigated medical comorbidities associated with opioid use; however, the findings are often contradictory. The main problem resides in the lack of controlling for polydrug use, as the combined use of drugs can cause additive and/or synergisti...
| Publicado en: | Journal of Substance Use Vol. 25; no. 1; pp. 40 - 46 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=140857490&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 140857490 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14659891 ILV jtl: Journal of Substance Use issn: 14659891 maglogo: Y pubinfo: dt: Feb2020 vid: 25 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 140857490 140857490 140857490 10.1080/14659891.2019.1659869 140857490 ppf: 40 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Discovering opioid users' medical comorbidities: a data mining approach. aug: au: Kim, Yong-Mi Kathuria, Pranay Delen, Dursun affil: School of Library and Information Studies, University of Oklahoma, Tulsa, Oklahoma, USA sug: subj: Persons with Substance Use Disorders Analgesics, Opioid Adverse Effects Substance Abuse Complications Comorbidity Human Data Mining Drug Synergism Systolic Pressure Glycated Hemoglobin Antianxiety Agents, Benzodiazepine Medical Marijuana ab: Background: To combat the opioid crisis, scholars have investigated medical comorbidities associated with opioid use; however, the findings are often contradictory. The main problem resides in the lack of controlling for polydrug use, as the combined use of drugs can cause additive and/or synergistic effects. Methods: This study employed the apriori association rule mining algorithm, which has the capability to discover direct associations between opioid use and its comorbidities and further identify new medical comorbidities buried in the dataset as this method can process thousands of variables. Results: After controlling for polydrug use, findings show that sole opioid use associates with high systolic and diastolic blood pressures and high HbA1c, but the combined use of opioids and benzodiazepine or marijuana did not elevate systolic or diastolic blood pressure. Additionally, by including every variable in the database, this study discovered new medical comorbidities such as elevated red blood cell and gastrointestinal problems, which have not been reported in existing studies. Conclusions: The proposed analytical strategy made significant steps toward resolving the conflicting findings, as the combined use can have additive and/or synergistic effects on the medical comorbidities from opioid use. The newly discovered medical comorbidities offer future research topics. Abbreviations: BZD: benzodiazepine; MRN: marijuana; BPS: blood pressure systolic; BPD: blood pressure diastolic; AST: aspartate aminotransferase; ALT: alanine transaminase; BMI: body mass index; RBC: red blood cell count; BUN: blood urea nitrogen; MPV: mean platelet volume; EMR: electronic medical records; IRB: Institutional Review Board; CHFDW: Cerner HealthFacts® Data Warehouse. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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