Data Challenges for Externally Controlled Trials: Viewpoint.

The preferred evidence of a large randomized controlled trial is difficult to adopt in scenarios, such as rare conditions or clinical subgroups with high unmet needs, and evidence from external sources, including real-world data, is being increasingly considered by decision makers. Real-world data originate from many sources, and identifying suitable real-world data that can be used to contextualize a single-arm trial, as an external control arm, has several challenges. In this viewpoint article, we provide an overview of the technical challenges raised by regulatory and health reimbursement agencies when evaluating comparative efficacy, such as identification, outcome, and time selection challenges. By breaking down these challenges, we provide practical solutions for researchers to consider through the approaches of detailed planning, collection, and record linkage to analyze external data for comparative efficacy.

Medical utilization surrounding initial opioid-related diagnoses by coding method.

OBJECTIVES: To identify methods for coding initial opioid-related disorder (ORD) diagnoses in administrative claims and determine whether coding methods correspond to acute medical utilization patterns. STUDY DESIGN: Retrospective analysis of Blue Health Intelligence commercial data. METHODS: We included members with 2 years of continuous coverage around the first appearance of an ORD diagnosis code (initial ORD) in medical or pharmacy claims with dates of service between October 2015 and March 2016. Initial ORD was identified by International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) F11 codes or buprenorphine for medication-assisted treatment (BUP-MAT) with a duration of 3 or more days. Descriptive analyses were evaluated prediagnosis, in the month of diagnosis, and post diagnosis and included mean cost per member per month (PMPM); mean monthly percentage of members with at least 1 opioid agonist prescription (OAP), inpatient visit, or emergency department (ED) visit; and percentage of members with at least 1 ICD-10-CM Z79.891 code (long-term [current] use of opiate analgesic). RESULTS: A total of 6426 initial ORD diagnoses were identified by F11.20 (65.2%), F11.x (28.7%), and BUP-MAT (6.1%). PMPM costs for BUP-MAT ($2054) were lower than for F11.20 ($5053) and F11.x ($6597) in the diagnosis month. Mean monthly percentage of members with at least 1 OAP declined from pre- to post initial ORD diagnosis (F11.20, 52.5% to 50.0%; F11.x, 44.1% to 37.9%; BUP-MAT, 34.0% to 12.7%). Members with initial ORD coded as F11.x had the highest mean percentage with at least 1 inpatient or ED visit in the diagnosis month (30.9% and 26.8%, respectively) versus F11.20 (19.3% and 10.8%) and BUP-MAT (5.1% and 3.5%). Percentage of members with at least 1 Z79.891 code was higher post diagnosis than in the month of diagnosis (F11.20, 34.6% vs 25.7%; F11.x, 16.5% vs 8.1%; BUP-MAT, 19.5% vs 8.1%). CONCLUSIONS: Medical utilization patterns of members with ORD differ by the coding method used to document their initial diagnosis in administrative claims.

Effect of Preoperative Opioid Use on Adverse Outcomes, Medical Spending, and Persistent Opioid Use Following Elective Total Joint Arthroplasty in the United States: A Large Retrospective Cohort Study of Administrative Claims Data.

OBJECTIVE: Between 17% and 40% of patients undergoing elective arthroplasty are preoperative opioid users. This US study analyzed patients in this population to illustrate the relationship between preoperative opioid use and adverse surgical outcomes. DESIGN: Retrospective study of administrative medical and pharmaceutical claims data. SUBJECTS: Adults (aged 18+) who received elective total knee, hip, or shoulder replacement in 2014-2015. METHODS: A patient was a preoperative opioid user if opioid prescription fills occurred in two periods: 1-30 and 31-90 days presurgery. Zero-truncated Poisson (incidence rate ratio [IRR]), logistic (odds ratio [OR]), Cox (hazard ratio [HR]), and quantile regressions modeled the effects of preoperative opioid use and opioid dose, adjusted for demographics, comorbidities, and utilization. RESULTS: Among 34,792 patients (38% hip, 58% knee, 4% shoulder), 6,043 (17.4%) were preoperative opioid users with a median morphine equivalent daily dose of 32 mg. Preoperative opioid users had increased length of stay (IRR = 1.03, 95% CI = 1.02 to 1.05), nonhome discharge (OR = 1.10, 95% CI = 1.00 to 1.21), and 30-day unplanned readmission (OR = 1.43, 95% CI = 1.17 to 1.74); experienced 35% higher surgical site infection (HR = 1.35, 95% CI = 1.14 to 1.59) and 44% higher surgical revision (HR = 1.44, 95% CI = 1.21 to 1.71); had a median $1,084 (95% CI = $833 to $1334) increase in medical spend during the 365 days after discharge; and had a 64% lower rate of opioid cessation (HR = 0.34, 95% CI = 0.33 to 0.35) compared with patients not filling two or more prescriptions across periods. CONCLUSIONS: Preoperative opioid users had longer length of stay, increased revision rates, higher spend, and persistent opioid use, which worsened with dose. Adverse outcomes after elective joint replacement may be reduced if preoperative opioid risk is managed through increased monitoring or opioid cessation.

One Month of Oral Morphine Decreases Gray Matter Volume in the Right Amygdala of Individuals with Low Back Pain: Confirmation of Previously Reported Magnetic Resonance Imaging Results.

OBJECTIVE: Prolonged exposure to opioids is known to produce neuroplastic changes in animals; however, few studies have investigated the effects of short-term prescription opioid use in humans. A previous study from our laboratory demonstrated a dosage-correlated volumetric decrease in the right amygdala of participants administered oral morphine daily for 1 month. The purpose of this current study was to replicate and extend the initial findings. METHODS: Twenty-one participants with chronic low back pain were enrolled in this double-blind, placebo-controlled study. Participants were randomized to receive daily morphine (n = 11) or a matched placebo (n = 10) for 1 month. High-resolution anatomical images were acquired immediately before and after the treatment administration period. Morphological gray matter changes were investigated using tensor-based morphometry, and significant regions were subsequently tested for correlation with morphine dosage. RESULTS: Decreased gray matter volume was observed in several reward- and pain-related regions in the morphine group, including the bilateral amygdala, left inferior orbitofrontal cortex, and bilateral pre-supplementary motor areas. Morphine administration was also associated with significant gray matter increases in cingulate regions, including the mid cingulate, dorsal anterior cingulate, and ventral posterior cingulate. CONCLUSIONS: Many of the volumetric increases and decreases overlapped spatially with the previously reported changes. Individuals taking placebo for 1 month showed neither gray matter increases nor decreases. The results corroborate previous reports that rapid alterations occur in reward-related networks following short-term prescription opioid use.

Daily cytokine fluctuations, driven by leptin, are associated with fatigue severity in chronic fatigue syndrome: evidence of inflammatory pathology.

BACKGROUND: Chronic fatigue syndrome (CFS) is a debilitating disorder characterized by persistent fatigue that is not alleviated by rest. The lack of a clearly identified underlying mechanism has hindered the development of effective treatments. Studies have demonstrated elevated levels of inflammatory factors in patients with CFS, but findings are contradictory across studies and no biomarkers have been consistently supported. Single time-point approaches potentially overlook important features of CFS, such as fluctuations in fatigue severity. We have observed that individuals with CFS demonstrate significant day-to-day variability in their fatigue severity. METHODS: Therefore, to complement previous studies, we implemented a novel longitudinal study design to investigate the role of cytokines in CFS pathophysiology. Ten women meeting the Fukuda diagnostic criteria for CFS and ten healthy age- and body mass index (BMI)-matched women underwent 25 consecutive days of blood draws and self-reporting of symptom severity. A 51-plex cytokine panel via Luminex was performed for each of the 500 serum samples collected. Our primary hypothesis was that daily fatigue severity would be significantly correlated with the inflammatory adipokine leptin, in the women with CFS and not in the healthy control women. As a post-hoc analysis, a machine learning algorithm using all 51 cytokines was implemented to determine whether immune factors could distinguish high from low fatigue days. RESULTS: Self-reported fatigue severity was significantly correlated with leptin levels in six of the participants with CFS and one healthy control, supporting our primary hypothesis. The machine learning algorithm distinguished high from low fatigue days in the CFS group with 78.3% accuracy. CONCLUSIONS: Our results support the role of cytokines in the pathophysiology of CFS.

Differentiation of somatosensory cortices by high-resolution fMRI at 7 T.

This study aimed to evaluate the ability of BOLD signals at high MRI field (7 T) to map fine-scale single-digit activations in subdivisions (areas 3b and 1) of the human primary somatosensory cortex (SI) in individual subjects. We acquired BOLD fMRI data from cortical areas around the central suclus in six healthy human subjects while stimulating individual finger pads with 2-Hz air puffs. Discrete, single-digit responses were identified in an area along the posterior bank of the central sulcus corresponding to area 3b and in an area along the crest of the postcentral gyrus corresponding to area 1. In single subjects, activations of digits 1 to 4 in both areas 3b and 1 were organized in a somatotopic manner. The separation of digit representations was measured for adjacent digits and was approximately 1.6 times greater in area 3b than in area 1. Within individual subjects, the cortical responses to single-digit stimulations and the magnitude of the BOLD signals were reproducible across imaging runs and were comparable across subjects. Our findings demonstrate that BOLD fMRI at 7 T is capable of revealing the somatotopic organization of single-digit activations with good within-subject reliability and reproducibility, and activation maps can be acquired within a reasonably short time window, which are essential characteristics for several neurological applications within patient populations.