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Concomitant inpatient prescribing of strong opioids with sedatives: Associations with comorbid conditions.

ABSTRACT: Co-prescribing of opioids and sedatives is a known risk factor for opioid-induced ventilatory impairment (OIVI). Prevalence data for sedative and opioid co-prescription in inpatients in Australia are unknown. Our objective was to determine the prevalence of inpatient sedative and opioid co-prescribing and to identify factors associated with co-prescription. We conducted a retrospective cross-sectional study from July 2017 to October 2017 across four South Australian hospitals utilizing a centralized electronic health record. Multivariate analysis was used to identify characteristics predictive of co-prescribing of a strong opioid (fentanyl, hydromorphone, morphine, and oxycodone) and sedative medications (benzodiazepines, antiepileptics, antipsychotics, and tricyclic antidepressants). Of the 6170 inpatients, 2795 (45.3%) were prescribed a strong opioid and of those, 1889 (30.6% of all inpatients) were co-prescribed a sedative. Of those prescribed a strong opioid, five (0.18%) developed OIVI. Patients prescribed a strong opioid had a 27-77% increased likelihood of being prescribed a sedative. Factors predictive of sedative co-prescribing included the presence of disease of the central nervous system adjusted OR (aOR) 8.66 [95% CI 5.83-12.9] and respiratory disease aOR 1.42 [95% CI 1.17-1.72]. Nearly, one third of all hospital inpatients were co-prescribed a strong opioid and a sedative medication. Patients with comorbidities resulting in increased risk of respiratory depression/OIVI were more likely to have sedative co-prescription. Clinicians should be aware of the effects of high-risk medications and ensure that systems and monitoring are in place that help mitigate adverse outcomes.

SUBMITTER: Li RJ

PROVIDER: S-EPMC7868063 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Concomitant inpatient prescribing of strong opioids with sedatives: Associations with comorbid conditions.

Li Ray J RJ Caughey Gillian E GE Shakib Sepehr S

Pharmacology research & perspectives 20210201 1

Co-prescribing of opioids and sedatives is a known risk factor for opioid-induced ventilatory impairment (OIVI). Prevalence data for sedative and opioid co-prescription in inpatients in Australia are unknown. Our objective was to determine the prevalence of inpatient sedative and opioid co-prescribing and to identify factors associated with co-prescription. We conducted a retrospective cross-sectional study from July 2017 to October 2017 across four South Australian hospitals utilizing a central ...[more]

PMID: 33550717

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Project description:Use of opioids during and shortly after an acute hospitalization is warranted in some clinical settings. However, given the potential of opioids for short-term adverse events and long-term physiologic tolerance, it is important to understand the frequency of opioid prescribing at hospital discharge, hospital variation, and patient and hospital factors associated with opioid prescribing, which is currently unknown in the United States.To estimate the frequency of opioid prescribing at hospital discharge among Medicare beneficiaries without an opioid prescription claim 60 days prior to hospitalization; to document hospital variation in prescribing; and to analyze patient and hospital factors associated with prescribing, including hospital average performance on pain-related Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) measures.Analysis of pharmacy claims of a 20% random sample of Medicare beneficiaries hospitalized in 2011 without an opioid prescription claim in the 60 days before hospitalization.Our main outcome was a new opioid claim within 7 days of hospital discharge. We estimated a multivariable linear probability model of patient factors associated with new opioid use and described hospital variation in adjusted rates of new opioid use. In multivariable linear regression analysis, we also analyzed hospital factors associated with average adjusted new opioid use at the hospital level, including the percentage of each hospital's patients who reported that their pain during hospitalization was always well controlled in the 2011 HCAHPS surveys.Among 623?957 hospitalizations, 92?882 (14.9%) were associated with a new opioid claim. Among those hospitalizations with an associated opioid claim within 7 days of hospital discharge, 32?731 (42.5%) of 77?092 were associated with an opioid claim after 90 days postdischarge. Across 2512 hospitals, the average adjusted rate of new opioid use within 7 days of hospitalization was 15.1% (interquartile range, 12.3%-17.4%; interdecile range, 10.5%-20.0%). A hospital's adjusted rate of new opioid use was modestly positively associated with the percentage of its inpatients reporting that their pain was always well managed (increase from 25th to the 75th percentile in the HCAHPS measure was associated with an absolute increase in new opioid use of 0.89 percentage points or a relative increase of 6.0%; P?<?.001).New opioid use after hospitalization is common among Medicare beneficiaries, with substantial variation across hospitals and a large proportion of patients using a prescription opioid 90 days after hospitalization. The degree to which observed hospital variation in short- and longer-term opioid use reflects variation in inappropriate prescribing at hospital discharge is unknown.

Project description:Introduction:The combination of opioids and central nervous system depressants such as benzodiazepines and barbiturates has an additive effect on the frequency of oversedation and respiratory depression requiring naloxone use in hospitalized patients. Gabapentinoids (gabapentin and pregabalin) are frequently prescribed with opioids for their opioid-sparing and adjuvant analgesic effects. There is limited literature on the risk of respiratory depression due to the combination of opioids and gabapentinoids requiring naloxone administration. Methods:This retrospective study evaluated patients who were prescribed opioids and at least one dose of naloxone between March 1, 2014 and September 30, 2016. The primary objective of this study was to compare the frequency of respiratory depression among patients who received naloxone and opioids (non-gabapentinoid group) with those who received naloxone, opioids, and gabapentinoids (gabapentinoid group). Secondary objectives included comparing the association of oversedation, using the Pasero Opioid-induced Sedation Scale, and various risk factors with those in the gabapentinoid group. Results:A total of 153 patient episodes of naloxone administration (102 in the non-gabapentinoid and 51 in the gabapentinoid groups) in 125 unique patients were included in the study. For the primary objective, there were 33 episodes of respiratory depression associated with the non-gabapentinoid group (33/102=32.4%) versus 17 episodes of respiratory depression with the gabapentinoid group (17/51=33.3%) (p=0.128). Secondary objectives showed a significant association between respiratory depression and surgery in the previous 24 hours (p=0.036) as well as respiratory depression and age >65 years (p=0.031) for patients in the non-gabapentinoid group compared to the gabapentinoid group. Conclusion:There was no significant association of respiratory depression in the gabapentinoid group versus the non-gabapentinoid group. There was an increased risk of respiratory depression in the gabapentinoid group, specifically in patients who had surgery within the previous 24 hours.

Project description:AimsTo assess whether naloxone prescribing in clinical contexts targeted pain patients most at risk for opioid overdose.DesignA retrospective cohort study using data from the Health Facts Database.SettingOver 600 United States healthcare facilities.ParticipantsThree patient groups were followed for 2 years during 2009 to 2017: individuals with shoulder or long bone fractures (n = 252 424), chronic pain syndrome (CPS) (n = 76 141), or non-traumatic low back pain (n = 792 956) who received an opioid prescription. Groups were chosen based on previous work.MeasurementsThe outcome was opioid overdose identified by International Classification of Diseases codes (ICDs) and the primary predictor was number of naloxone prescriptions identified by National Drug Codes (NDCs).FindingsOpioid overdoses occurred among 0.16% of fracture patients (average follow-up time to overdose [AFU] = 240 days), 1.28% of CPS patients (AFU = 244 days), and 0.30% low back pain patients (AFU = 264 days). A total of 58 083 bone fracture patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (hazard ratio [HR] = 1.87, 95% CI = 1.68-2.09), and number of subsequent overdoses (incidence rate ratio [IRR] = 1.89, 95% CI = 1.69-2.12). A total of 19 529 CPS patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (HR = 1.69, 95% CI = 1.61-1.78) and number of subsequent overdoses (IRR = 1.74, 95% CI = 1.67-1.83). A total of 110 608 low back pain patients received naloxone prescriptions, and naloxone prescription was associated with subsequent opioid overdose (HR = 1.33, 95% CI = 1.27-1.40) and number of subsequent overdoses (IRR = 1.35, 95% CI = 1.29-1.41).ConclusionsReceiving a naloxone prescription appears to be associated with increased risk of subsequent opioid overdose among patients with acute and chronic pain, suggesting prescribers often identify patients most in need of naloxone.

Project description:IMPORTANCE:Primary care clinicians find managing chronic pain challenging. Evidence of long-term efficacy of opioids for chronic pain is limited. Opioid use is associated with serious risks, including opioid use disorder and overdose. OBJECTIVE:To provide recommendations about opioid prescribing for primary care clinicians treating adult patients with chronic pain outside of active cancer treatment, palliative care, and end-of-life care. PROCESS:The Centers for Disease Control and Prevention (CDC) updated a 2014 systematic review on effectiveness and risks of opioids and conducted a supplemental review on benefits and harms, values and preferences, and costs. CDC used the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework to assess evidence type and determine the recommendation category. EVIDENCE SYNTHESIS:Evidence consisted of observational studies or randomized clinical trials with notable limitations, characterized as low quality using GRADE methodology. Meta-analysis was not attempted due to the limited number of studies, variability in study designs and clinical heterogeneity, and methodological shortcomings of studies. No study evaluated long-term (?1 year) benefit of opioids for chronic pain. Opioids were associated with increased risks, including opioid use disorder, overdose, and death, with dose-dependent effects. RECOMMENDATIONS:There are 12 recommendations. Of primary importance, nonopioid therapy is preferred for treatment of chronic pain. Opioids should be used only when benefits for pain and function are expected to outweigh risks. Before starting opioids, clinicians should establish treatment goals with patients and consider how opioids will be discontinued if benefits do not outweigh risks. When opioids are used, clinicians should prescribe the lowest effective dosage, carefully reassess benefits and risks when considering increasing dosage to 50 morphine milligram equivalents or more per day, and avoid concurrent opioids and benzodiazepines whenever possible. Clinicians should evaluate benefits and harms of continued opioid therapy with patients every 3 months or more frequently and review prescription drug monitoring program data, when available, for high-risk combinations or dosages. For patients with opioid use disorder, clinicians should offer or arrange evidence-based treatment, such as medication-assisted treatment with buprenorphine or methadone. CONCLUSIONS AND RELEVANCE:The guideline is intended to improve communication about benefits and risks of opioids for chronic pain, improve safety and effectiveness of pain treatment, and reduce risks associated with long-term opioid therapy.

Dataset Information

Concomitant inpatient prescribing of strong opioids with sedatives: Associations with comorbid conditions.

Publications

Concomitant inpatient prescribing of strong opioids with sedatives: Associations with comorbid conditions.

Similar Datasets

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