Data Analysis

Evaluation of Budesonide-Formoterol for Maintenance and Reliever Therapy Among Patients With Poorly Controlled Asthma A Systematic Review and Meta-analysis

Author/s: 
Beasley, R., Harrison, T., Peterson, S., Gustafson, P., Hamblin, A., Bengtsson, T., Fageras, M.

Importance: The Global Initiative for Asthma (GINA) recommends 2 alternative treatments for patients receiving treatment at steps 3 to 5: single inhaler combination inhaled corticosteroid-formoterol as both maintenance and reliever (SMART) or inhaled corticosteroid-long-acting β2-agonist as maintenance plus short-acting β2-agonist as reliever.

Objective: To assess whether switching to SMART is associated with longer time to first severe asthma exacerbation compared with a step up or continuation of GINA treatment step with maintenance inhaled corticosteroid-long-acting β2-agonist plus short-acting β2-agonist reliever among patients with poorly controlled asthma.

Data sources: For this systematic review and meta-analysis, the literature, internal study databases at AstraZeneca and the Medical Research Institute of New Zealand, and references from a previous systematic review and meta-analysis on SMART were searched to identify randomized clinical trials published from January 1990 to February 2018, that compared budesonide-formoterol by SMART with maintenance inhaled corticosteroid-long-acting β2-agonist plus short-acting β2-agonist reliever.

Study selection: Trials of at least 24 weeks' duration were included if they reported baseline data on GINA treatment step, asthma control status, and efficacy measures of severe exacerbations. Included patients were adults and adolescents with asthma and baseline Asthma Control Questionnaire 5-item version scores of 1.5 or higher.

Data extraction and synthesis: Patient-level data were identified by independent extraction, and analyses were performed using a fixed-effect model. Data analysis was performed from August 2018 to November 2021.

Main outcomes and measures: The primary outcome was time to first severe asthma exacerbation associated with each treatment, analyzed by Cox proportional hazards regression.

Results: Overall, 4863 patients were included (3034 [62.4%] female; mean [SD] age, 39.8 [16.3] years). Switching patients with uncontrolled asthma at GINA step 3 (n = 1950) to SMART at either step 3 or 4 was associated with a prolonged time to first severe asthma exacerbation, with a 29% reduced risk compared with stepping up to step 4 inhaled corticosteroid-long-acting β2-agonist maintenance plus short-acting β2-agonist reliever (hazard ratio, 0.71; 95% CI, 0.52-0.97). For patients with uncontrolled asthma at step 3 and step 4 (n = 2913), switching to SMART was associated with a prolonged time to first severe asthma exacerbation and a 30% reduced risk compared with remaining at the same treatment step (hazard ratio, 0.70; 95% CI, 0.58-0.85).

Conclusions and relevance: In this systematic review and meta-analysis, for patients with poorly controlled asthma, SMART was associated with longer time to first severe asthma exacerbation compared with a step up or continuation of GINA step with maintenance inhaled corticosteroid-long-acting β2-agonist plus short-acting β2-agonist reliever. These findings suggest that if an adult or adolescent receiving treatment at GINA step 3 or 4 has poorly controlled asthma, it is preferable to switch to the SMART regimen rather than to step up or continue the GINA treatment step with maintenance inhaled corticosteroid-long-acting β2-agonist plus short-acting β2-agonist reliever therapy.

Mobile Telemedicine for Buprenorphine Treatment in Rural Populations With Opioid Use Disorder

Author/s: 
Weintraub, E., Seneviratne, C., Anane, J.

Importance
The demand for medications for opioid use disorder (MOUD) in rural US counties far outweighs their availability. Novel approaches to extend treatment capacity include telemedicine (TM) and mobile treatment on demand; however, their combined use has not been reported or evaluated.

Objective
To evaluate the use of a TM mobile treatment unit (TM-MTU) to improve access to MOUD for individuals living in an underserved rural area.

Design, Setting, and Participants
This quality improvement study evaluated data collected from adult outpatients with a diagnosis of OUD enrolled in the TM-MTU initiative from February 2019 (program inception) to June 2020. Program staff traveled to rural areas in a modified recreational vehicle equipped with medical, videoconferencing, and data collection devices. Patients were virtually connected with physicians based more than 70 miles (112 km) away. Data analysis was performed from June to October 2020.

Intervention
Patients received buprenorphine prescriptions after initial teleconsultation and follow-up visits from a study physician specialized in addiction psychiatry and medicine.

Main Outcomes and Measures
The primary outcome was 3-month treatment retention, and the secondary outcome was opioid-positive urine screens. Exploratory outcomes included use of other drugs and patients’ travel distance to treatment.

Results
A total of 118 patients were enrolled in treatment, of whom 94 were seen for follow-up treatment predominantly (at least 2 of 3 visits [>50%]) on the TM-MTU; only those 94 patients’ data are considered in all analyses. The mean (SD) age of patients was 36.53 (9.78) years, 59 (62.77%) were men, 71 (75.53%) identified as White, and 90 (95.74%) were of non-Hispanic ethnicity. Fifty-five patients (58.51%) were retained in treatment by 3 months (90 days) after baseline. Opioid use was reduced by 32.84% at 3 months, compared with baseline, and was negatively associated with treatment duration (F = 12.69; P = .001). In addition, compared with the nearest brick-and-mortar treatment location, TM-MTU treatment was a mean of 6.52 miles (range, 0.10-58.70 miles) (10.43 km; range, 0.16-93.92 km) and a mean of 10 minutes (range, 1-49 minutes) closer for patients.

Conclusions and Relevance
These data demonstrate the feasibility of combining TM with mobile treatment, with outcomes (retention and opioid use) similar to those obtained from office-based TM MOUD programs. By implementing a traveling virtual platform, this clinical paradigm not only helps fill the void of rural MOUD practitioners but also facilitates access to underserved populations who are less likely to reach traditional medical settings, with critical relevance in the context of the COVID-19 pandemic.

Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults

Author/s: 
Wilson, J.D., Zbebe, K.Z., Kraemer, K., Liebschutz, J., Merlin, J., Miller, E., D., Donohue, J.

Importance: Although prescription opioids are the most common way adolescents and young adults initiate opioid use, many studies examine population-level risks following the first opioid prescription. There is currently a lack of understanding regarding how patterns of opioid prescribing following the first opioid exposure may be associated with long-term risks.

Objective: To identify distinct patterns of opioid prescribing following the first prescription using group-based trajectory modeling and examine the patient-, clinician-, and prescription-level factors that may be associated with trajectory membership during the first year.

Design, setting, and participants: This cohort study examined Pennsylvania Medicaid enrollees' claims data from 2010 through 2016. Participants were aged 10 to 21 years at time of first opioid prescription. Data analysis was performed in March 2020.

Main outcomes and measures: This study used group-based trajectory modeling and defined trajectory status by opioid fill.

Results: Among the 189 477 youths who received an initial opioid prescription, 107 562 were female (56.8%), 81 915 were non-Latinx White (59.6%), and the median age was 16.9 (interquartile range [IQR], 14.6-18.8) years. During the subsequent year, 47 477 (25.1%) received at least one additional prescription. Among the models considered, the 2-group trajectory model had the best fit. Of those in the high-risk trajectory, 65.3% (n = 901) filled opioid prescriptions at month 12, in contrast to 13.1% (n = 6031) in the low-risk trajectory. Median age among the high-risk trajectory was 19.0 years (IQR, 17.1-20.0 years) compared with the low-risk trajectory (17.8 years [IQR, 15.8-19.4 years]). The high-risk trajectory received more potent prescriptions compared with the low-risk trajectory (median dosage of the index month for high-risk trajectory group: 10.0 MME/d [IQR, 5.0-21.2 MME/d] vs the low-risk trajectory group: 4.7 MME/d [IQR, 2.5-7.8 MME/d]; P < .001). The trajectories showed persistent differences with more youths in the high-risk trajectory going on to receive a diagnosis of opioid use disorder (30.0%; n = 412) compared with the low-risk group (10.1%; n = 4638) (P < .001).

Conclusions and relevance: This study's results identified 2 trajectories associated with elevated risk for persistent opioid receipt within 12 months following first opioid prescription. The high-risk trajectory was characterized by older age at time of first prescription, and longer and more potent first prescriptions. These findings suggest even short and low-dose opioid prescriptions can be associated with risks of persistent use for youths.

Comparative Effectiveness of Different Treatment Pathways for Opioid Use Disorder

Author/s: 
Wakeman, SE, Larochelle, MR, Ameli, O, Chaisson, CE, McPheeters, JT, Crown, WH, Azocar, F, Sanghavi, DM

IMPORTANCE:

Although clinical trials demonstrate the superior effectiveness of medication for opioid use disorder (MOUD) compared with nonpharmacologic treatment, national data on the comparative effectiveness of real-world treatment pathways are lacking.

OBJECTIVE:

To examine associations between opioid use disorder (OUD) treatment pathways and overdose and opioid-related acute care use as proxies for OUD recurrence.

DESIGN, SETTING, AND PARTICIPANTS:

This retrospective comparative effectiveness research study assessed deidentified claims from the OptumLabs Data Warehouse from individuals aged 16 years or older with OUD and commercial or Medicare Advantage coverage. Opioid use disorder was identified based on 1 or more inpatient or 2 or more outpatient claims for OUD diagnosis codes within 3 months of each other; 1 or more claims for OUD plus diagnosis codes for opioid-related overdose, injection-related infection, or inpatient detoxification or residential services; or MOUD claims between January 1, 2015, and September 30, 2017. Data analysis was performed from April 1, 2018, to June 30, 2019.

EXPOSURES:

One of 6 mutually exclusive treatment pathways, including (1) no treatment, (2) inpatient detoxification or residential services, (3) intensive behavioral health, (4) buprenorphine or methadone, (5) naltrexone, and (6) nonintensive behavioral health.

MAIN OUTCOMES AND MEASURES:

Opioid-related overdose or serious acute care use during 3 and 12 months after initial treatment.

RESULTS:

A total of 40 885 individuals with OUD (mean [SD] age, 47.73 [17.25] years; 22 172 [54.2%] male; 30 332 [74.2%] white) were identified. For OUD treatment, 24 258 (59.3%) received nonintensive behavioral health, 6455 (15.8%) received inpatient detoxification or residential services, 5123 (12.5%) received MOUD treatment with buprenorphine or methadone, 1970 (4.8%) received intensive behavioral health, and 963 (2.4%) received MOUD treatment with naltrexone. During 3-month follow-up, 707 participants (1.7%) experienced an overdose, and 773 (1.9%) had serious opioid-related acute care use. Only treatment with buprenorphine or methadone was associated with a reduced risk of overdose during 3-month (adjusted hazard ratio [AHR], 0.24; 95% CI, 0.14-0.41) and 12-month (AHR, 0.41; 95% CI, 0.31-0.55) follow-up. Treatment with buprenorphine or methadone was also associated with reduction in serious opioid-related acute care use during 3-month (AHR, 0.68; 95% CI, 0.47-0.99) and 12-month (AHR, 0.74; 95% CI, 0.58-0.95) follow-up.

CONCLUSIONS AND RELEVANCE:

Treatment with buprenorphine or methadone was associated with reductions in overdose and serious opioid-related acute care use compared with other treatments. Strategies to address the underuse of MOUD are needed.

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