Dataset Information

Medical diagnoses associated with substance dependence among inpatients at a large urban hospital.

ABSTRACT:

Background

There are limited data on reasons for hospital admission among patients dependent on substances other than alcohol. We compared primary discharge diagnoses for heroin- or cocaine-dependent patients to non-dependent patients.

Material and methods

We evaluated a cohort of patients admitted to a general medicine service at a public teaching hospital during July 2005-June 2008. Through bedside interviews, we identified patients who had substance-use disorders. We categorized patients by substance used, route of administration, and dependent or non-dependent use. We grouped diagnostic codes (i.e., ICD-9) using Healthcare Utilization Project categories. We excluded HIV-infected patients.

Results

Of 11,397 patients, 341 (3.0%) were dependent on inhalational heroin, 260 (2.3%) on non-injection cocaine, and 106 (0.9%) on injection heroin. Compared to non-dependent patients, inhalational heroin-dependent patients were over three-fold more likely to have been admitted for respiratory diseases (28% vs. 8%, p<0.01); this association was strongest for asthma exacerbation (OR=7.0; 95% CI, 4.7 to 70.4, p<0.01). Of the 225 admissions for an asthma exacerbation, 44 (19.6%) had co-occurrent heroin-dependence. The most frequent diagnostic category among cocaine-dependent patients was circulatory, which was similar to non-dependent patients (22% vs. 21%, p=0.92).

Discussion

There is a strong association between heroin dependence and hospital admission for an asthma exacerbation. Provision of specialized substance-use treatment for inhalational heroin users will be necessary to reduce the frequency of exacerbations and repeat hospital admissions.

SUBMITTER: Choi H

PROVIDER: S-EPMC4479595 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Medical diagnoses associated with substance dependence among inpatients at a large urban hospital.

Choi Humberto H Krantz Anne A Smith Jennifer J Trick William W

PloS one 20150624 6

<h4>Background</h4>There are limited data on reasons for hospital admission among patients dependent on substances other than alcohol. We compared primary discharge diagnoses for heroin- or cocaine-dependent patients to non-dependent patients.<h4>Material and methods</h4>We evaluated a cohort of patients admitted to a general medicine service at a public teaching hospital during July 2005-June 2008. Through bedside interviews, we identified patients who had substance-use disorders. We categorize ...[more]

PMID: 26107402

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Project description:BackgroundThe prevalence of substance use disorders is higher among medical inpatients than in the general population, placing inpatient providers in a prime position to detect these patients and intervene.ObjectiveTo assess provider detection rates of substance use disorders among medical inpatients and to identify patient characteristics associated with detection.DesignData drawn from a cluster randomized controlled trial that tested the effectiveness of three distinct implementation strategies for providers to screen patients for substance use disorders and deliver a brief intervention (Clinical Trials.gov : NCT01825057).ParticipantsA total of 1076 patients receiving care from 13 general medical inpatient units in a large teaching hospital participated in this study.Main measuresData sources included patient self-reported questionnaires, a diagnostic interview for substance use disorders, and patient medical records. Provider detection was determined by diagnoses documented in medical records.Key resultsProvider detection rates were highest for nicotine use disorder (72.2%) and lowest for cannabis use disorder (26.4%). Detection of alcohol use disorder was more likely among male compared to female patients (OR (95% CI) = 4.0 (1.9, 4.8)). When compared to White patients, alcohol (OR (95% CI) = 0.4 (0.2, 0.6)) and opioid (OR (95% CI) = 0.2 (0.1, 0.7)) use disorders were less likely to be detected among Black patients, while alcohol (OR (95% CI) = 0.3 (0.0, 2.0)) and cocaine (OR (95% CI) = 0.3 (0.1, 0.9)) use disorders were less likely to be detected among Hispanic patients. Providers were more likely to detect nicotine, alcohol, opioid, and other drug use disorders among patients with higher addiction severity (OR (95% CI) = 1.20 (1.08-1.34), 1.62 (1.48, 1.78), 1.46 (1.07, 1.98), 1.38 (1.00, 1.90), respectively).ConclusionsFindings indicate patient characteristics, including gender, race, and addiction severity impact rates of provider detection. Instituting formal screening for all substances may increase provider detection and inform treatment decisions.

Project description:ObjectiveTo identify patient characteristics on admission and daily events during hospitalization that could influence older medical inpatients walking activity during hospitalization.DesignA cohort study.SettingAcute hospitalized care.ParticipantsPremorbidly mobile, nonsurgical, nonelective inpatients (50% women) aged ≥65 years (N=154), with an anticipated ≥3-day inpatient stay were recruited consecutively within 48 hours of hospital admission. Of the 227 patients screened, 69 did not meet study criteria and 4 refused.InterventionsNot applicable.Main outcome measuresAge, comorbidities (Cumulative Illness Rating Scale), cognitive status (6-item Cognitive Impairment Test), falls history and efficacy (Falls Efficacy Scale-International), physical performance (short physical performance battery), and medications were recorded within 2 days of admission. Walking activity (step count) was recorded for 7 days or until discharge. Daily events (procedures, falls, fear of falling, ordered bedrest, devices or treatments that hindered walking [eg, intravenous fluids, wall-mounted oxygen therapy], patient- and nurse-reported medial status, fatigue, sleep quality, physiotherapy, or occupational therapy intervention) were measured on concurrent weekdays. Their associations with daily (log) step count were estimated using linear mixed-effects models, adjusted for patient-characteristics measured at admission.ResultsApproximately half of the variability in step count was described at the within-patient level. Multivariable models suggested positive associations with Wednesdays (+25% in step count; 95% confidence interval, 4-53), admission physical performance (+15%, 8-22), improving medical status (+33%, 7-64), negative associations with devices or treatments that hinder walking (-29%, -9 to -44), and instructed bedrest (-69%, -55 to -79).ConclusionDay-to-day step count fluctuated, suggesting considerable scope for intervention. Devices or treatments that hinder walking should be reviewed daily and walking activity should become a clinical priority. Admission physical performance may identify vulnerable patients.

Project description:ObjectivesMedical emergencies in psychiatric inpatients are challenging due to the model of care and limited medical resources. The study aims were to determine the triggers and outcomes of a medical emergency team (MET) call in psychiatric wards, and the risk factors for MET activation and mortality.DesignRetrospective multisite cohort study.SettingPsychiatry units colocated with acute medical services at three major metropolitan hospitals in Melbourne, Australia.ParticipantsWe studied 487 adult inpatients who experienced a total of 721 MET calls between January 2015 and January 2020. Patients were relatively young (mean age, 45 years) and had few medical comorbidities, but a high prevalence of smoking, excessive alcohol intake and illicit drug use.Outcome measuresWe performed a descriptive analysis of the triggers and outcomes (transfer rates, investigations, final diagnosis) of MET calls. We used logistic regression to determine the factors associated with the primary outcome of inpatient mortality, and the secondary outcome of the need for specific medical treatment compared with simple observation.ResultsThe most common MET triggers were a reduced Glasgow Coma Scale, tachycardia and hypotension, and 49% of patients required transfer. The most frequent diagnosis was a drug adverse effect or toxidrome, followed by infection and dehydration. There was a strong association between a leave of absence and MET calls, tachycardia and the final diagnosis of drug adverse effects. Mortality occurred in 3% after MET calls. Several baseline and MET clinical variables were associated with mortality but a model with age (per 10 years, OR 1.61, 95% CI 1.29 to 2.01) and hypoxia (OR 3.59, 95% CI 1.43 to 9.04) independently predicted mortality.ConclusionVigilance is required in patients returning from day leave, and drug adverse effects remain a challenging problem in psychiatric units. Hypoxic older patients with cardiovascular comorbidity have a higher risk of death.

Dataset Information

Medical diagnoses associated with substance dependence among inpatients at a large urban hospital.

Background

Material and methods

Results

Discussion

Publications

Medical diagnoses associated with substance dependence among inpatients at a large urban hospital.

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