Demographics, clinical characteristics, and treatment patterns among keloid patients: United States Electronic Health Records (EHR) Database Study.

INTRODUCTION: There is limited epidemiologic evidence on keloids using real-world data, especially in the United States (US) across race and ethnicity. METHODS: We conducted a retrospective cohort study using Cerner Real-World Data, between 2015 and 2021, to describe the demographic and clinical characteristics of US adults with keloids. Keloids were identified using a combination of ICD-10 and (Systemized Nomenclature of Medicine-Clinical Terms [SNOMED] codes). Demographics (including race and ethnicity), clinical characteristics, treatment patterns, and healthcare utilization were compared across keloid and non-keloid populations. RESULTS: Among 5,457 keloid patients identified in the study, the majority were female (61.8%) with a mean age of 34.2 years and of non-Hispanic Black, Hispanic, and Asian descent (P < 0.001). Relative to non-keloid cohorts, patients with keloids had significantly higher rates of integumentary, cardiorespiratory, general, auditory, and ocular surgeries and burns (all P < 0.05). Patients with keloids were also more likely to have comorbidities like obesity, hypertension, hyperlipidemia, and diabetes (P < 0.05) when compared to those with no keloids. A large proportion of keloids were untreated; among those treated, the most common keloid treatments were medication therapy (51.5%) and surgical excision (10.6%). Non-Hispanic Black and Hispanic keloid patients were significantly more likely to receive medication therapy and surgical excision (P < 0.001) compared to keloid patients of other races or ethnicities. CONCLUSIONS: This study provided real-world insights into the keloid population in the US. Our findings emphasize the high burden of keloids and its substantial impact on ethnic minorities. Given high keloid recurrence rates and limited standardized treatments for keloids, further research into keloids is crucial to the development of keloid-specific therapeutic options.

The Associations between Insomnia Severity and Health Outcomes in the United States.

Little is known about the associations between insomnia severity, insomnia symptoms, and key health outcomes. Using 2020 United States National Health and Wellness Survey (NHWS) data, we conducted a retrospective, cross-sectional analysis to determine the associations between insomnia severity and a number of health outcomes germane to patients (health-related quality of life (HRQoL), employers and government (workplace productivity), and healthcare payers (healthcare resource utilization (HCRU)). The Insomnia Severity Index (ISI) questionnaire was used to evaluate overall insomnia severity. HRQoL was assessed using the physical and mental component summary scores of the Short Form-36v2 (SF-36v2) questionnaire, and health utility status was measured using the Short Form-6D (SF-6D) and EuroQoL-5D (EQ-5D) questionnaires. Workplace productivity was measured using the Work Productivity and Activity Impairment (WPAI) questionnaire. After adjusting for confounders, greater insomnia severity was significantly associated with worsened quality of life, decreased productivity, and increased HCRU in an apparent linear fashion. These findings have important implications for future research, including the need for specific assessment of insomnia symptoms and their impact on key health outcomes.

Mapping the Insomnia Severity Index Instrument to EQ-5D Health State Utilities: A United Kingdom Perspective.

OBJECTIVE: This study aimed to map the Insomnia Severity Index (ISI) to the EQ-5D-3L utility values from a UK perspective. METHODS: Source data were derived from the 2020 National Health and Wellness Survey (NHWS) for France, Germany, Italy, Spain, the UK and the US. Ordinary least squares regression, generalised linear model (GLM), censored least absolute deviation, and adjusted limited dependent variable mixture model (ALDVMM) were employed to explore the relationship between ISI total summary score and EQ-5D utility while accounting for adjustment covariates derived from the NHWS. Fitting performance was assessed using standard metrics, including mean-squared error (MSE) and coefficient of determination (R2). RESULTS: A total of 17,955 respondent observations were included, with a mean ISI score of 12.12 ± 5.32 and a mean EQ-5D-3L utility (UK tariff) of 0.71 ± 0.23. GLM gamma-log and ALDVMM were the two best performing models. The ALDVMM had better fitting performance (R2 = 0.320, MSE 0.0347) than the GLM gamma-log (R2 = 0.303, MSE 0.0353); in train-test split-sample validation, ALDVMM also slightly outperformed the GLM gamma-log model, with an MSE of 0.0351 versus 0.0355. Based on fitting performance, ALDVMM and GLM gamma-log were the preferred models. CONCLUSIONS: In the absence of preference-based measures, this study provides an updated mapping algorithm for estimating EQ-5D-3L utilities from the ISI summary total score. This new mapping not only draws its strengths from the use of a large international dataset but also the incorporation of adjustment variables (including sociodemographic and general health characteristics) to reduce the effects of confounders.

Examining transitions of care among nursing home residents with and without antipsychotic medication use.

OBJECTIVES: This study examines the association between antipsychotic (AP) medication use and care transitions in the nursing home (NH) population. METHODS: This cross-sectional study used data from a 5% random sample of Medicare beneficiaries between 2011 and 2015. Propensity score adjusted negative binomial regression was performed and conditional probabilities of having a first transition from the NH to specific locations were calculated. RESULTS: Among 150,284 eligible beneficiaries, the majority were female (67%), white (84%), and >75 years old (63%). Controlling for resident characteristics, the odds of having any transition was 5% lower among those with AP use [IRR (95% confidence interval (CI))=0.95(0.94-0.96)] relative to those with no AP use. Residents with AP use had higher proportions of transitions to hospital (22.7% vs. 19.5%, p < 0.01), emergency department (19.6% vs. 10.7%, p < 0.01), and different NH (1.5% vs. 0.4%, p < 0.01), and lower proportions of transition to non-healthcare locations compared to those without AP use. CONCLUSIONS: Findings demonstrate that residents with AP use had higher probabilities of transitions to more costly care settings such as the emergency department and hospital compared to those without AP use. Future longitudinal studies will help to inform clinical interventions aimed at improving the quality of care for this population.

Patterns of opioid and benzodiazepine use with gabapentin among disabled Medicare beneficiaries - A retrospective cohort study.

BACKGROUND: Our goal was to describe specific patterns associated with co-prescriptions of gabapentin, opioids, and benzodiazepines among disabled Medicare beneficiaries. METHODS: Using 2013-2015 Medicare data, we conducted a retrospective cohort study among fee-for-service disabled beneficiaries continuously enrolled in Medicare Parts A, B, and D. The index date was defined as the earliest fill date for a gabapentin, opioid, or benzodiazepine prescription. Monotherapy, dual therapy, and tri-therapy were defined as utilization of one, two, and three medication classes, respectively. Augmentation was defined as a prescription for a different medication class in addition to prescription for initial medication; switching referred to a change in prescription for a different medication class with no subsequent fills of initial medication. We used descriptive statistics, Kaplan Meier analyses and Cox proportional hazards to examine the association between initial therapy and monotherapy, dual therapy, tri-therapy, switching and augmentation. RESULTS: Among 151,552 disabled beneficiaries, gabapentin initiators were more likely to augment therapy (50.1%) when compared to opioid (28.7%) and benzodiazepine (38.7%) users. When compared to opioid initiators, the risk of augmentation (HR[95%CI]: 1.85[1.82-1.89]) and switching (1.62 [1.51-1.73]) was significantly higher among gabapentin initiators. Risk of augmentation was also significantly higher among beneficiaries with co-morbid pain and mental health conditions (p < 0.01). Overall, the majority of beneficiaries augmented and switched within 2-months and 4-months after initiating therapy, respectively. CONCLUSIONS: Given safety concerns associated with gabapentin, opioids, and benzodiazepines, it is imperative that the benefits and risks of co-prescribing these medications be examined comprehensively, especially for those in vulnerable sub-groups.

Adverse outcomes associated with concurrent gabapentin, opioid, and benzodiazepine utilization: A nested case-control study.

Background: Gabapentin, opioids, and/or benzodiazepines are commonly prescribed for a variety of pain and psychiatric conditions. Despite the high likelihood of co-prescription of these medications, little is known about co-utilization of gabapentin (GABA), opioids (OP), and benzodiazepines (BZD) and associated public health outcomes. Methods: Using Medicare CCW Data, 2013-2016, we conducted a nested case-control study to examine the association between concurrent utilization of GABA, OP, and BZD and respiratory depression, opioid, and substance-related overdose among Medicare disabled beneficiaries. Cases and controls were Fee-for-service disabled beneficiaries who had a diagnosis of acute pain (AP), chronic pain (CP) or mental health conditions (MH) and received GABA, OP or BZD. Cases with respiratory depression, opioid or substance-related overdose were matched with up to 4 controls on socio-demographics, year of cohort entry and disease risk score. Primary exposure was concurrent medication utilization defined as an overlap of at least one day in prescriptions for GABA, OP and BZD. Findings: Across all cohorts, the majority of cases and controls were under 65, female, dually eligible and had prior histories of pain and mental health conditions. GABA+OP+BZD use was associated with increased odds of respiratory depression [AOR(95%CI)-AP: 1.35 (1.19-1.52), CP:1.24 (1.11-1.38) and MH: 1.16 (1.02-1.32) vs. OP only], opioid-related overdose [AP: 1.43 (1.04-1.98), CP: 1.47 (1.07-2.00) and MH: 1.44 (1.04-2.00) vs. OP only], and substance-related overdose [AP: 1.77 (1.26-2.50), CP: 1.70 (1.24-2.34) and MH: 1.92 (1.31-2.82) vs. GABA only]. While there were cohort differences in the association between GABA+OP and both respiratory depression and opioid-related overdose, GABA+OP and GABA+BZD use were associated with significantly higher odds of substance-related overdose across all clinical cohorts. Interpretation: Among Medicare disabled beneficiaries, concurrent utilization of gabapentin, opioids, and benzodiazepines is associated with multiple adverse outcomes. Given this, it is imperative that the benefits and risks of co-prescribing these medications be comprehensively examined. Funding: None.

Chronic non-cancer pain and its association with healthcare use and costs among individuals with obstructive sleep apnea.

Aim: To evaluate the impact of chronic non-cancer pain (CNCP) on healthcare use and costs among individuals diagnosed with obstructive sleep apnea (OSA). Materials & methods: Using the IQVIA PharMetrics® Plus database, we identified individuals (18-64 years old) during 2007-2014, divided into two groups: OSA + CNCP versus OSA-only. Generalized linear models were used to analyze binary and count outcomes. Results: Relative to OSA-only controls, OSA + CNCP cases had increased odds for inpatient and emergency department visits and higher rates for physician office visits, non-physician outpatient visits, and prescription drug fills. Relative to controls, direct healthcare costs for cases were higher, primarily driven by inpatient and non-physician outpatient visit costs. Conclusion: Relative to OSA-only controls, OSA + CNCP cases displayed increased healthcare use and costs across all points of service.

Patterns of prescription opioid utilization among adolescents and adults with comorbid chronic pain and mental health diagnosis.

Our goal was to examine the association between mental health disorders (MHD) and subsequent risk of opioid use among commercially insured youth and adults (aged 14-64 years) with comorbid chronic noncancer pain (CNCP) conditions. We conducted a retrospective cohort study using IQVIA Health Plan Claims database from January 1, 2006, to December 31, 2015. Chronic noncancer pain was defined as any diagnosis of back, head, neck, arthritis, or chronic pain (index date). Mental health disorders were assessed in the 12 months before the index pain diagnosis. Based on days supply (none, acute, and chronic) and average daily dose (none, low, medium, and high), we constructed a 7-level categorical dependent measure of opioid use. We estimated the overall prevalence of MHD and opioid receipt. Among those with CNCP, multinomial logistic regression (AOR; 95 confidence interval) was used to estimate the association of MHD with opioid receipt. Among 879,815 individuals diagnosed with CNCP, 143,923 (16.4%) had comorbid MHD. Chronic/high-dose use of opioids was more common among those with CNCP and MHD compared to those with only CNCP. After adjusting for demographic and clinical factors, individuals with comorbid CNCP and MHD were significantly more likely to be prescribed opioids compared to those with only CNCP conditions. This effect varied by average daily dose and days supply: acute/low dose (1.08; 1.07-1.08); chronic/low dose (1.49; 1.49-1.50); acute/medium dose (1.07; 1.07-1.08); chronic/medium dose (1.61; 1.61-1.62); acute/high dose (1.03; 1.02-1.03); and chronic/high dose (1.53; 1.53-1.54). In individuals with CNCP, having a MHD was a strong predictor of prescription opioid use, particularly chronic use.