Prediction of Future Chronic Opioid Use Among Hospitalized Patients.
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ABSTRACT:
SUBMITTER: Calcaterra SL
PROVIDER: S-EPMC5975151 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Publications
Prediction of Future Chronic Opioid Use Among Hospitalized Patients.
Calcaterra S L SL Scarbro S S Hull M L ML Forber A D AD Binswanger I A IA Colborn K L KL
Journal of general internal medicine 20180205 6
<h4>Background</h4>Opioids are commonly prescribed in the hospital; yet, little is known about which patients will progress to chronic opioid therapy (COT) following discharge. We defined COT as receipt of ≥ 90-day supply of opioids with < 30-day gap in supply over a 180-day period or receipt of ≥ 10 opioid prescriptions over 1 year. Predictive tools to identify hospitalized patients at risk for future chronic opioid use could have clinical utility to improve pain management strategies and patie ...[more]
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Project description:BackgroundPatients with chronic pancreatitis (CP) suffer from pain and receive increased opioid prescriptions with a high risk of opioid use disorder (OUD). We studied the predictors, trends and outcomes of OUD among patients hospitalized with CP.MethodsRecords with CP (with/without OUD) were extracted from the Nationwide Inpatient Sample (NIS) 2012-2014, and the association of OUD with the burden of CP was calculated. We then charted the trends of OUD and its interaction with concomitant CP from NIS 2007-2014 (SAS 9.4).ResultsIn the period 2012-2014, 4349 (4.99%) of the 87,068 CP patients had concomitant OUD, with higher risk among patients who were young, females, white vs. Hispanics, and individuals with chronic back pain, arthritis, non-opioid substance use, mental health disorders, and those hospitalized in urban centers. OUD was associated with a longer hospital stay (6.9 vs. 6.5 days, P=0.0015) but no significant difference in charges ($47,151 vs. $49,017, P=0.0598) or mortality (1.64% vs. 0.74%, P=0.0506). From 2007-2014, the average yearly rate of OUD was 174 cases per 10,000 hospitalizations (174/10,000), almost 3 times higher among CP vs. non-CP (479/10,000 vs. 173/10,000, P<0.001), and it increased from 2007 to 2014 (135/10,000 to 216/10,000, P<0.001). The yearly increase was 2.7 times higher among patients with CP vs. non-CP (29.9/10,000 vs. 11.3/10,000 hospitalizations/year, P<0.001).ConclusionsCP is associated with higher rates and trends of OUD. Patients with CP at high risk of OUD may benefit from alternate analgesic regimens or surveillance for OUD when they are prescribed opioids.
| S-EPMC7903576 | biostudies-literature
Project description:BackgroundOpioids are widely used in moderate-to-severe chronic pain which is non-responsive to standard analgesics. Prescriptions have increased in Europe in the last decade, although remain lower than in USA. This work projected the future utilization and costs of opioids in chronic osteoarthritis (OA) pain in the Spanish National Health System (NHS).MethodsAn epidemiological model was populated with the opioid dispensing trends from 2010 to 2019 using Spanish Medicinal Agency rates of opioid utilization in subjects over 18 years of age and the real-world OPIOIDS study to estimate chronic-OA-pain patients receiving opioids. A best-fitted trend analysis model was applied estimating the likely number of DHD (defined daily dose/1000 inhabitants per day) to calculate projected opioid utilization and costs for the period 2020-2029.ResultsIn 2010, an estimated 5.67 DHD were dispensed for the equivalent of 217,076 chronic OA pain patients per day [1.99 DHD, 76,084 refractory to non-steroidal anti-inflammatory drugs (NSAIDs)]. From these trends and OA prevalence, the projected number of DHDs is expected to increase more than threefold to 17.98 DHDs by the year 2029 for the equivalent of 727,356 chronic OA pain patients per day (8.18 DHD, 330,720 refractory to NSAIDs); 41.8% on strong opioids. The estimated cost was €116.9m (€45.0m in NSAID-refractory OA) in 2010 rising by 222% to €376.1m (€199.7m refractory to NSAIDs) by 2029.ConclusionChronic-OA-pain-related opioid dispensing and costs to the NHS are set to increase more than threefold from 2010 to 2029 in Spain. Using opioids for OA pain is concerning given disease chronicity and other related costs not computed in these projections.Plain language summary• Opioids are widely used in chronic pain which is non-responsive to standard analgesics. Prescriptions have increased in Europe, although remain lower than in USA. Osteoarthritis (OA) is a degenerative joint disease usually accompanied by pain. Despite not recommended, opioids use in OA have been expanded because this health condition is increasing with ageing and, also, because physicians both primary and specialist boosted their use.• This study aimed to quantify the current burden of opioids used for chronic moderate-to-severe OA pain by estimating the number of defined daily doses per 1000 inhabitants per day (DHD) and associated costs, and to forecast the likely burden on the National Health System (NHS) in Spain for the years 2020-2029.• In 2010, an estimated 5.67 DHDs were dispensed for the equivalent of 217,076 chronic OA pain patients per day. From these trends, the projected number of DHDs is expected to increase more than threefold to 17.98 DHDs by the year 2029 for the equivalent of 727,356 chronic OA pain patients per day; 41.8% on strong opioids. The estimated cost was €116.9m in 2010 rising by 222% to €376.1m by 2029.• Chronic OA-pain-related opioid dispensing and costs to the NHS are set to increase substantially (threefold to more than fourfold) from 2010 to 2029 in Spain. Thus, using opioids for OA pain is concerning given disease chronicity, aging population and other related costs not computed in these projections. Our findings can inform payors and clinicians about ongoing discussions on appropriate analgesic management for longer-term OA pain, including resource requirements at a national level. Clinicians who prescribe opioids for OA pain should consider the potential implications of side effects such as sedation, cognitive deterioration, incremental need of caregivers, particularly in older people, and carefully consider the risk-benefit balance.
| S-EPMC8107672 | biostudies-literature
Project description:ImportanceLimited guidance exists regarding the optimal approach to management of pain in acute pancreatitis (AP).ObjectivesTo investigate sources of variability in opioid use for treatment of acute pain in patients hospitalized for AP and to explore a potential association of opioid prescribing patterns with length of stay.Design, setting, and participantsThis retrospective cohort study included 4307 patients 18 years and older hospitalized for AP in a community-based integrated health care system, from January 1, 2008, to June 30, 2015. Analysis began in November 2017.ExposuresOpioid use was quantified by morphine equivalent dose (MED).Main outcomes and measuresThree analyses were performed: (1) factors associated with increased opioid administration during the initial 12 hours of hospitalization (baseline), (2) association of baseline opioid use with length of stay, and (3) frequency of opioid use 90 days after hospital discharge (persistent use).ResultsThe cohort included 4307 patients (median [interquartile range] age, 57.4 [44.0-70.2] years; 2241 women [52.0%]) with AP. At baseline, 3443 patients (79.9%) received opioids, and 388 patients (9.6%) had persistent opioid use after discharge. After adjusting for pain and other clinical factors, women received less MED than men (adjusted event ratio, 0.83; 95% CI, 0.79-0.86; P < .001). Hispanic and Asian patients received less MED than non-Hispanic white patients (adjusted event ratio, 0.85; 95% CI, 0.81-0.90; P < .001; and adjusted event ratio, 0.79; 95% CI, 0.72-0.86; P < .001, respectively). Alcohol-related AP etiology was associated with increased MED vs gallstone disorders (adjusted event ratio, 1.11; 95% CI, 1.05-1.18; P < .001). Two of 13 hospitals administered significantly less opioids compared with the others. Median (interquartile range) length of stay was independently associated with MED at baseline, with 3.0 (2.1-4.5) days among patients not receiving opioids vs 5.0 (3.2-8.7) days among patients in the highest quintile of MED (P < .001).Conclusions and relevanceIn addition to pain and disease severity, opioid use varied by etiology of AP, sex, race/ethnicity, and institution of treatment. Increased opioid use at baseline was associated with longer hospitalization. These findings suggest opportunities for improved approaches to pain control for patients with AP.
| S-EPMC6481601 | biostudies-literature
Project description:IntroductionTo date, no study has reported the prevalence of cannabis use in chronic pain patients. The aim of this study is to investigate the trends in cannabis use among chronic pain in-patients from 2011 to 2015 in the USA.MethodsPatients were identified from the National Inpatient Sample (NIS) database using the International Classification of Diseases, Ninth and Tenth Revision, diagnosis codes for chronic pain and cannabis use. Annual estimates and trends were determined for cannabis use, patient characteristics, cannabis use among subgroups of chronic pain conditions, cost, length of stay, and associated discharge diagnosis.ResultsBetween 2011 to 2015, a total of 247,949 chronic pain patients were cannabis users, increasing from 33,189 to 72,115 (P < 0.001). There were upward trends of cannabis use in females (38.7-40.7%; P = 0.03), Medicare insured patients (32.7-40.4%; P < 0.01), patients with lowest annual household income (36.1-40.9%; P = 0.02), patients aged 45-64 years (45.9-49.2%; P < 0.001), and patients with tobacco use disorder (63.8-72.4%; P < 0.0001). Concurrently, cannabis use decreased among patients with opioid use disorder (23.8-19.9%; P < 0.001). Cannabis use increased from 2011 to 2015 in patients with chronic regional pain syndrome, trauma, spondylosis, and failed back surgery syndrome. Adjusted total hospitalization cost increased from $31,271 ($1333) in 2011 to $38,684 ($946) in 2015 (P < 0.001).ConclusionsCannabis use increased substantially from 2011 to 2015, while the rates of cannabis use in opioid users down-trended simultaneously. Disparities in cannabis use among subgroups should be explored further.
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Project description:OBJECTIVE:To determine the association of medical marijuana legalization with prescription opioid utilization. METHODS:A 10% sample of a nationally representative database of commercially insured population was used to gather information on opioid use, chronic opioid use, and high-risk opioid use for the years 2006-2014. Adults with pharmacy and medical benefits for the entire calendar year were included in the population for that year. Multilevel logistic regression analysis, controlling for patient, person-year, and state-level factors, were used to determine the impact of medical marijuana legalization on the three opioid use measures. Sub-group analysis among cancer-free adults and cancer-free adults with at least one chronic non-cancer pain condition in the particular year were conducted. Alternate regression models were used to test the robustness of our results including a fixed effects model, an alternate definition for start date for medical marijuana legalization, a person-level analysis, and a falsification test. RESULTS:The final sample included a total of 4,840,562 persons translating into 15,705,562 person years. Medical marijuana legalization was found to be associated with a lower odds of any opioid use: OR?=?0.95 (0.94-0.96), chronic opioid use: OR?=?0.93 (0.91-0.95), and high-risk opioid use: OR?=?0.96 (0.94-0.98). The findings were similar in both the sub-group analyses and all the sensitivity analyses. The falsification tests showed no association between medical marijuana legalization and prescriptions for antihyperlipidemics (OR?=?1.00; CI 0.99-1.01) or antihypertensives (OR?=?1.00; CI 0.99-1.01). CONCLUSIONS:In states where marijuana is available through medical channels, a modestly lower rate of opioid and high-risk opioid prescribing was observed. Policy makers could consider medical marijuana legalization as a tool that may modestly reduce chronic and high-risk opioid use. However, further research assessing risk versus benefits of medical marijuana legalization and head to head comparisons of marijuana versus opioids for pain management is required.
| S-EPMC6667507 | biostudies-literature
Project description:Some chronic pain patients receiving long-term opioid analgesic pharmacotherapy are at risk for misusing opioids. Like other addictive behaviors, risk of opioid misuse may be signaled by an attentional bias (AB) towards drug-related cues. The purpose of this study was to examine opioid AB as a potential predictor of opioid misuse among chronic pain patients following behavioral treatment.Chronic pain patients taking long-term opioid analgesics (n=47) completed a dot probe task designed to assess opioid AB, as well as self-report measures of opioid misuse and pain severity, and then participated in behavioral treatment. Regression analyses examined opioid AB and cue-elicited craving as predictors of opioid misuse at 3-month posttreatment follow-up.Patients who scored high on a measure of opioid misuse risk following treatment exhibited significantly greater opioid AB scores than patients at low risk for opioid misuse. Opioid AB for 200 ms cues and cue-elicited craving significantly predicted opioid misuse risk 20 weeks later, even after controlling for pre-treatment opioid dependence diagnosis, opioid misuse, and pain severity (Model R(2)=.50).Biased initial attentional orienting to prescription opioid cues and cue-elicited craving may reliably signal future opioid misuse risk following treatment. These measures may therefore provide potential prognostic indicators of treatment outcome.
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Project description:BackgroundSeveral case-control studies have shown associations between the risk of different cancers and self-reported opium use. Inquiring into relatively sensitive issues, such as the history of drug use, is usually prone to information bias. However, in order to justify the findings of these types of studies, we have to quantify the level of such a negative bias. In current study, we aimed to evaluate sensitivity of self-reported opioid use and suggest suitable types of control groups for case-control studies on opioid use and the risk of cancer.MethodsIn order to compare the validity of the self-reported opioid use, we cross-validated the response of two groups of subjects 1) 178 hospitalized patients and 2) 186 healthy individuals with the results of their tests using urine rapid drug screen (URDS) and thin layer chromatography (TLC). The questioners were asked by trained interviewers to maximize the validity of responses; healthy individuals were selected from the companions of patients in hospitals.ResultsSelf-reported regular opioid use was 36.5% in hospitalized patients 19.3% in healthy individuals (p-value> 0.001).The reported frequencies of opioid use in the past 72 hours were 21.4% and 11.8% in hospitalized patients and healthy individuals respectively. Comparing their responses with the results of urine tests showed a sensitivity of 77% and 69% among hospitalized patients and healthy individuals for self-reports (p-value = 0.4). Having corrected based on the mentioned sensitivities; the frequency of opioid regular use was 47% and 28% in hospitalized patients and healthy individuals, respectively. Regular opioid use among hospitalized patients was significantly higher than in healthy individuals (p-value> 0.001).ConclusionOur findings showed that the level of opioid use under-reporting in hospitalized patients and healthy individuals was considerable but comparable. In addition, the frequency of regular opioid use among hospitalized patients was significantly higher than that in the general population. Altogether, it seems that, without corrections for these differences and biases, the results of many studies including case-control studies on opioid use might distort findings substantially.
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Project description:As chronic opioid therapy (COT) becomes more common, complexity of pain management in the inpatient setting increases; little is known about medical inpatients on COT.To determine the prevalence of COT among hospitalized patients and to compare outcomes among these patients relative to those not receiving COT.Observational study of inpatient and outpatient administrative data.All veterans with acute medical admissions to 129 Veterans Administration hospitals during fiscal years 2009 to 2011, residing in the community, and with outpatient pharmacy use.We defined COT as 90 or more days of opioids prescribed in the 6 months prior to hospitalization. Patient characteristics included demographic variables and major comorbidities. Outcomes included 30-day readmission and death during hospitalization or within 30 days, with associations ascertained using multivariable logistic regression.Of 122,794 hospitalized veterans, 31,802 (25.9%) received COT. These patients differed from comparators in age, sex, race, residence, and presence of chronic noncancer pain, chronic obstructive pulmonary disease, complicated diabetes, cancer, and mental health diagnoses including post-traumatic stress disorder. After adjustment for demographic factors, comorbidities, and admission diagnosis, COT was associated with hospital readmission (odds ratio [OR]: 1.15, 95% confidence interval [CI]: 1.10-1.20) and death (OR: 1.19, 95% CI: 1.10-1.29).COT is common among medical inpatients. Patients on COT differ from patients without COT beyond dissimilarities in pain and cancer diagnoses. Occasional and chronic opioid use are associated with increased risk of hospital readmission, and COT is associated with increased risk of death. Additional research relating COT to hospitalization outcomes is warranted.
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