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Background: The morbidity and mortality associated with opioid and benzodiazepine co-prescription is a pressing national concern. Little is known about patterns of opioid and benzodiazepine use in patients with acute low back pain or lower extremity pain.Objective: To characterize patterns of opioid and benzodiazepine prescribing among opioid-naïve, newly diagnosed low back pain (LBP) or lower extremity pain (LEP) patients and to investigate the relationship between benzodiazepine prescribing and long-term opioid use.Design/setting: We performed a retrospective analysis of a commercial database containing claims for more than 75 million enrollees in the USA.Participants: Participants were adult patients newly diagnosed with LBP or LEP between 2008 and 2015 who did not have a red flag diagnosis, had not received an opioid prescription in the 6 months prior to diagnosis, and had 12 months of continuous enrollment after diagnosis.Main Outcomes and Measures: Among patients receiving at least one opioid prescription within 12 months of diagnosis, we defined discrete patterns of benzodiazepine prescribing-continued use, new use, stopped use, and never use. We tested the association of these prescription patterns with long-term opioid use, defined as six or more fills within 12 months.Results: We identified 2,497,653 opioid-naïve patients with newly diagnosed LBP or LEP. Between 2008 and 2015, 31.9% and 11.5% of these patients received opioid and benzodiazepine prescriptions, respectively, within 12 months of diagnosis. Rates of opioid prescription decreased from 34.8% in 2008 to 27.0% in 2015 (P < 0.001); however, prescribing of benzodiazepines only decreased from 11.6% in 2008 to 10.8% in 2015. Patients with continued or new benzodiazepine use consistently used more opioids than patients who never used or stopped using benzodiazepines during the study period (one-way ANOVA, P < 0.001). For patients with continued and new benzodiazepine use, the odds ratio of long-term opioid use compared with those never prescribed a benzodiazepine was 2.99 (95% CI, 2.89-3.08) and 2.68 (95% CI, 2.62-2.75), respectively.Limitations: This study used administrative claims analyses, which rely on accuracy and completeness of diagnostic, procedural, and prescription codes.Conclusion: Overall opioid prescribing for low back pain or lower extremity pain decreased substantially during the study period, indicating a shift in management within the medical community. Rates of benzodiazepine prescribing, however, remained at approximately 11%. Concurrent prescriptions of benzodiazepines and opioids after LBP or LEP diagnosis were associated with increased risk of long-term opioid use. [ABSTRACT FROM AUTHOR]

Physical therapy (PT) is an important component of low back pain (LBP) management. Despite established guidelines, heterogeneity in medical management remains common. We sought to understand how copayments impact timing and utilization of PT in newly diagnosed LBP. The IBM Watson Health MarketScan claims database was used in a longitudinal setting. Adult patients with LBP. The primary outcomes-of-interest were timing and overall utilization of PT services. Additional outcomes-of-interest included timing of opioid prescribing. Actual and inferred copayments based on nonnonprimary care provider visit claims were used to evaluate the relationship between PT copayment and incidence of PT initiation. Multivariable regression models were used to evaluate factors influencing PT usage. Overall, 2,467,389 patients were included. PT initiation, among those with at ≥1 PT service during the year after LBP diagnosis (30.6%), occurred at a median of 8 days postdiagnosis (IQR 1–55). Among those with at least one PT encounter, incidence of subsequent PT visits was significantly lower for those with high initial PT copayments. High initial PT copayments, while inversely correlated with PT utilization, were directly correlated with subsequent opioid use (0.77 prescriptions/patient [$0 PT copayment] versus 1.07 prescriptions/patient [$50–74 PT copayment]; 1.15 prescriptions/patient [$75+ PT copayment]). Among patients with known opioid and PT copayments, higher PT copayments were correlated with faster opioid use while higher opioid copayments were correlated with faster PT use (Spearman p<.05). For multivariable whole-cohort analyses, incidence of PT initiation among patients with inferred copayments in the 50–75th and 75–100th percentiles was significantly lower than those below the 50th percentile (HR=0.893 [95%CI 0.887–0.899] and HR=0.905 [95%CI 0.899–0.912], respectively). Higher PT copayments correlated with reduced PT utilization; higher PT copayments and lower opioid copayments were independent contributors to delayed PT initiation and higher opioid use. In patients covered by plans charging high PT copayments, opioid use was significantly higher. Copays may impact long-term adherence to PT. [ABSTRACT FROM AUTHOR]

Background Context: Despite established guidelines, long-term management of surgically-treated low back pain (LBP) and lower extremity pain (LEP) remains heterogeneous. Understanding care heterogeneity could inform future approaches for standardization of practices.Purpose: To describe treatment heterogeneity in surgically-managed LBP and LEP.Study Design/setting: Retrospective study of a nationwide commercial database spanning inpatient and outpatient encounters for enrollees of eligible employer-supplied healthcare plans (2007-2016).Patient Sample: A population-based sample of opioid-naïve adult patients with newly-diagnosed LBP or LEP were identified. Inclusion required at least 12-months of pre-diagnosis and post-diagnosis continuous follow-up.Exposure: Included treatments/evaluations include conservative management (chiropractic manipulative therapy, physical therapy, epidural steroid injections), imaging (x-ray, MRI, CT), pharmaceuticals (opioids, benzodiazepines), and spine surgery (decompression, fusion).Outcome Measures: Primary outcomes-of-interest were 12-month net healthcare expenditures (inpatient and outpatient) and 12-month opioid usage.Methods: Analyses include interrogation of care sequence heterogeneity and temporal trends in sequence-initiating services. Comparisons were conducted in the framework of sequence-specific treatment sequences, which reflect the personalized order of healthcare services pursued by each patient. Outlier sequences characterized by high opioid use and costs were identified from frequently observed surgical treatment sequences using Mahalanobis distance.Results: A total of 2,496,908 opioid-naïve adult patients with newly-diagnosed LBP or LEP were included (29,519 surgical). In the matched setting, increased care sequence heterogeneity was observed in surgical patients (0.51 vs. 0.12 previously-unused interventions/studies pursued per month). Early opioid and MRI use has decreased between 2008 and 2015 but is matched by increases in early benzodiazepine and x-ray use. Outlier sequences, characterized by increased opioid use and costs, were found in 5.8% of surgical patients. Use of imaging prior to conservative management was common in patients pursuing outlier sequences compared to non-outlier sequences (96.5% vs. 63.8%, p<.001). Non-outlier sequences were more frequently characterized by early conservative interventions (31.9% vs. 7.4%, p<.001).Conclusions: Surgically-managed LBP and LEP care sequences demonstrate high heterogeneity despite established practice guidelines. Outlier sequences associated with high opioid usage and costs can be identified and are characterized by increased early imaging and decreased early conservative management. Elements that may portend suboptimal longitudinal management could provide opportunities for standardization of patient care. [ABSTRACT FROM AUTHOR]

In Reply: Long-Term Opioid Use in Patients With Newly Diagnosed Low Back Pain We understand that pain management physicians may not commonly care for patients in the acute phase of pain. 4 Moshfegh J George SZ Sun E. Risk and risk factors for chronic opioid use among opioid-naive patients with newly diagnosed musculoskeletal pain in the neck, shoulder, knee, or low back. [Extracted from the article]

Study Design: Retrospective longitudinal cohort.Objective: We investigated opioid prescribing patterns amongst adults in the United States diagnosed with low back or lower extremity pain (LBP/LEP) who underwent spine surgery.Summary Of Background Data: Opioid-based treatment of LBP/LEP and postsurgical pain has separately been associated with chronic opioid use, but a combined and large-scale cohort study is missing.Methods: This study utilizes commercial inpatient, outpatient, and pharmaceutical insurance claims. Between 2008 and 2015, patients without previous prescription opioids with a new diagnosis of LBP/LEP who underwent surgery within 1 year after diagnosis were enrolled. Opioid prescribing patterns after LBP/LEP diagnosis and after surgery were evaluated. All patients had 1-year postoperative follow-up. Low and high frequency (6 or more refills in 12 months) opioid prescription groups were identified.Results: A total of 25,506 patients without previous prescription opioids were diagnosed with LBP/LEP and underwent surgery within 1 year of diagnosis. After LBP/LEP diagnosis, 18,219 (71.4%) were prescribed opioids, whereas 7287 (28.6%) were not. After surgery, 2952 (11.6%) were prescribed opioids with high frequency and 22,554 (88.4%) with low frequency. Among patients prescribed opioids before surgery, those with high-frequency prescriptions were more likely to continue this pattern postoperatively than those with low frequency prescriptions preoperatively (OR 2.15, 95% CI 1.97-2.34). For those prescribed opioids preoperatively, average daily morphine milligram equivalent (MME) decreased after surgery (by 2.62 in decompression alone cohort and 0.25 in arthrodesis cohort, P < 0.001). Postoperative low-frequency patients were more likely than high-frequency patients to discontinue opioids one-year after surgery (OR 3.78, 95% CI 3.59-3.99). Postoperative high-frequency patients incurred higher cost than low-frequency patients. Postoperative high-frequency prescribing varied widely across states (4.3%-20%).Conclusion: A stepwise association exists between opioid use after LEP or LBP diagnosis and frequency and duration of opioid prescriptions after surgery. Simultaneously, the strength of prescriptions as measured by MME decreased following surgery.Level Of Evidence: 3. [ABSTRACT FROM AUTHOR]

Background Context: Outpatient postoperative pain management in spine patients, specifically involving the use of opioids, demonstrates significant variability.Purpose: Using preoperative risk factors and 30-day postoperative opioid prescribing patterns, we developed models for predicting long-term opioid use in patients after elective spine surgery.Study Design/setting: This retrospective cohort study utilizes inpatient, outpatient, and pharmaceutical data from MarketScan databases (Truven Health).Patient Sample: In all, 19,317 patients who were newly diagnosed with low back or lower extremity pain (LBP or LEP) between 2008 and 2015 and underwent thoracic or lumbar surgery within 1 year after diagnosis were enrolled. Some patients initiated opioids after diagnosis but all patients were opioid-naïve before the diagnosis.Outcome Measures: Long-term opioid use was defined as filling ≥180 days of opioids within one year after surgery.Methods: Using demographic variables, medical and psychiatric comorbidities, preoperative opioid use, and 30-day postoperative opioid use, we generated seven models on 80% of the dataset and tested the models on the remaining 20%. We used three regression-based models (full logistic regression, stepwise logistic regression, least absolute shrinkage and selection operator), support vector machine, two tree-based models (random forest, stochastic gradient boosting), and time-varying convolutional neural network. Area under the curve (AUC), Brier index, sensitivity, and calibration curves were used to assess the discrimination and calibration of the models.Results: We identified 903 (4.6%) of patients who met criteria for long-term opioid use. The regression-based models demonstrated the highest AUC, ranging from 0.835 to 0.847, and relatively high sensitivities, predicting between 74.9% and 76.5% of the long-term opioid use patients in the test dataset. The three strongest positive predictors of long-term opioid use were high preoperative opioid use (OR 2.70; 95% confidence interval [CI] 2.27-3.22), number of days with active opioid prescription between postoperative days 15 to 30 (OR 1.10; 95%CI 1.07-1.12), and number of dosage increases between postoperative day 15 to 30 (OR 1.71, 95%CI 1.41-2.08). The strongest negative predictors were number of dosage decreases in the 30-day postoperative period.Conclusions: We evaluated several predictive models for postoperative long-term opioid use in a large cohort of patients with LBP or LEP who underwent surgery. A regression-based model with high sensitivity and AUC is provided online to screen patients for high risk of long-term opioid use based on preoperative risk factors and opioid prescription patterns in the first 30 days after surgery. It is hoped that this work will improve identification of patients at high risk of prolonged opioid use and enable early intervention and counseling. [ABSTRACT FROM AUTHOR]

Study Design: Retrospective longitudinal cohort analysis of patients diagnosed in 2010, with continuous enrollment 6 months prior to and 12 months following the initial visit.Objective: To determine whether provider specialty influences patterns of opiate utilization long after initial diagnosis.Summary Of Background Data: Patients with low back pain present to a variety of providers and receive a spectrum of treatments, including opiate medications. The impact of initial provider type on opiate use in this population is uncertain.Methods: We performed a retrospective analysis of opiate-naïve adult patients in the United States with newly diagnosed low back or lower extremity pain. We estimated the risk of early opiate prescription (≤14 d from diagnosis) and long-term opiate use (≥six prescriptions in 12 mo) based on the provider type at initial diagnosis using multivariable logistic regression, adjusting for patient demographics and comorbidities.Results: We identified 478,981 newly diagnosed opiate-naïve patients. Of these, 40.4% received an opiate prescription within 1 year and 4.0% met criteria for long-term use. The most common initial provider type was family practice, associated with a 24.4% risk of early opiate prescription (95% CI, 24.1-24.6) and a 2.0% risk of long-term opiate use (95% CI, 2.0-2.1). Risk of receiving an early opiate prescription was higher among patients initially diagnosed by emergency medicine (43.1%; 95% CI, 41.6-44.5) or at an urgent care facility (40.8%; 95% CI, 39.4-42.3). Risk of long-term opiate use was highest for patients initially diagnosed by pain management/anesthesia (6.7%; 95% CI, 6.0-7.3) or physical medicine and rehabilitation (3.4%; 95% CI, 3.1-3.8) providers.Conclusion: Initial provider type influences early opiate prescription and long-term opiate use among opiate-naïve patients with newly diagnosed low back and lower extremity pain.Level Of Evidence: 3. [ABSTRACT FROM AUTHOR]

: Level of Evidence: 3. [ABSTRACT FROM AUTHOR]