Evidence map›Paper›PMID 32800083›Full record

ArticleJournal of studies on alcohol and drugs2020

Increased Morbidity and Mortality in Hypertensive Patients With Substance Use Disorders: Electronic Health Record Findings.

Theresa Winhusen, Jeff Theobald, David C Kaelber, Daniel Lewis

Open access · greenAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Theresa WinhusenAddiction Sciences Division, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Jeff TheobaldAddiction Sciences Division, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio.
David C KaelberDepartment of Information Services, The MetroHealth System, Cleveland, Ohio.
Daniel LewisAddiction Sciences Division, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio.
University of Cincinnati Medical Center · USMetroHealth · US

Funding

Clinical Trials Network, Ohio Valley Node U10DA013732U10DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI WINHUSEN, T JOHN · 2000 to 2015
$45.0M
The Ohio Valley Node of the Clinical Trials Network (CTN-0153)UG1DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI T John WINHUSEN · 2015 to 2026
$42.5M
Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
NCATS NIH HHS UL1 TR002548NIDA NIH HHS U10 DA013732NIDA NIH HHS UG1 DA013732
6 · The paper itself

Abstract

objectiveSubstance use disorder (SUD) management by medical providers may be important for patients with comorbid health conditions exacerbated by SUD. This study evaluated potential associations of SUD with morbidity and mortality in a large sample of hypertensive patients.

methodAnalysis of a limited data set was obtained through IBM Watson Health Explorys, a platform integrating data from electronic health records. Matched controls were defined for each of five SUDs: tobacco use disorder (TUD), alcohol use disorder (AUD), cocaine use disorder (COUD), opioid use disorder (OUD), and cannabis use disorder (CUD) using Mahalanobis distance within propensity score calipers. All patients were from The MetroHealth System (Cleveland, OH) and had diagnosed hypertension. SUD group participants had diagnosed abuse/dependence for the substance of interest. Controls for each SUD group had no diagnosis code related to the substance of interest and were selected to match the SUD patients on several factors. Total sample sizes for each SUD-control comparison ranged from 3,176 (CUD) to 49,696 (TUD); proportions of female patients ranged from 31.7% (AUD) to 51.2% (TUD). Outcomes were diagnosis (yes/no) of the following: cerebrovascular accident, myocardial infarction, renal failure, and all-cause mortality.

resultsLogistic regressions revealed that SUD was significantly associated with cerebrovascular accident (odds ratios [ORs]: TUD = 2.23; AUD = 1.68; COUD = 2.53; OUD = 1.87; CUD = 2.20), renal failure (ORs: TUD = 1.46; COUD = 2.09; OUD = 1.77), myocardial infarction (ORs: TUD = 2.96; AUD = 1.92; COUD = 3.00), and mortality (ORs: TUD = 1.34; AUD = 1.60; COUD = 1.83; OUD = 1.35; CUD = 1.39).

conclusionsAmong patients with hypertension, those with SUDs appear to have significantly greater risk for morbidity and mortality, suggesting the importance of managing SUD in hypertensive patients.

Indexed as

Electronic Health RecordsAdultAgedFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedMorbiditySubstance-Related Disorders

Identifiers

PMID32800083
PMCPMC7437550
OpenAlexW3075645649

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.