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To develop a claims-based algorithm identifying systemic lupus erythematosus (SLE) flares using a linked claims-electronic medical record (EMR) dataset. This study was a retrospective analysis of linked administrative claims and EMR data spanning 1 January 2003 to 31 March 2019. Included were adult SLE patients with at least 12 months of continuous enrollment in claims data, 12 months of clinical activity in EMR, and an absence of malignancies excluding basal and squamous cell carcinoma. Patient follow-up was divided into 30-day windows, and a proxy SLEDAI-2K score based on the EMR data was calculated for each 30-day period. A flare was defined as an increase of at least 4 from the baseline score. A series of potential flare predictor variables identified in claims were based on a combination of established variables from a previous algorithm, with the addition of other SLE-related indicators based on clinical input. Logistic regression models were built to predict monthly SLE flares. Inclusion criteria identified 2427 patients. Results from a logistic model with forward selection capping the number of variables at 10 performed well with a c-statistic of 0.76 and a Brier score of 0.07. The top five predictors were any inpatient admission (OR = 4.76), outpatient office visit (OR = 3.04), MRI (OR = 2.26), ER visit (OR = 2.25), and number of rheumatology visits (OR = 1.75); p < .01 for all. The final algorithm shows promise in providing an alternative and more streamlined way for identifying likely flares in administrative claims data that will advance the study of SLE within the context of flares.

Introduction Reliable cost and resource use data for COVID-19 hospitalizations are crucial to better inform local healthcare resource decisions; however, available data are limited and vary significantly. Methods COVID-19 hospital admissions data from the Premier Healthcare Database were evaluated to estimate hospital costs, length of stay (LOS), and discharge status. Adult COVID-19 patients (ICD-10-CM: U07.1) hospitalized in the US from April 1 to December 31, 2020, were identified. Analyses were stratified by patient and hospital characteristics, levels of care during hospitalization, and discharge status. Factors associated with changes in costs, LOS, and discharge status were estimated using regression analyses. Monthly trends in costs, LOS, and discharge status were examined. Results Of the 247,590 hospitalized COVID-19 patients, 49% were women, 76% were aged ≥ 50, and 36% were admitted to intensive care units (ICU). Overall median hospital LOS, cost, and cost/day were 6 days, US$11,267, and $1772, respectively; overall median ICU LOS, cost, and cost/day were 5 days, $13,443, and $2902, respectively. Patients requiring mechanical ventilation had the highest hospital and ICU median costs ($47,454 and $41,510) and LOS (16 and 11 days), respectively. Overall, 14% of patients died in hospital and 52% were discharged home. Older age, Black and Caucasian race, hypertension and obesity, treatment with extracorporeal membrane oxygenation, and discharge to long-term care facilities were major drivers of costs, LOS, and risk of death. Admissions in December had significantly lower median hospital and ICU costs and LOS compared to April. Conclusion The burden from COVID-19 in terms of hospital and ICU costs and LOS has been substantial, though significant decreases in cost and LOS and increases in the share of hospital discharges to home were observed from April to December 2020. These estimates will be useful for inputs to economic models, disease burden forecasts, and local healthcare resource planning. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-021-01887-4.

Cluster headache (CH) is a rare trigeminal cephalalgia that is associated with extremely painful unilateral headache attacks and autonomic symptoms. Attacks may be episodic or chronic and associated with substantial suffering due to excruciating pain and limited treatment options. Frequent cluster headaches cause substantial burden for patients, resulting in reduced productivity caused by disability, as well as direct costs in some European countries. Less is known, however, about direct costs of recurring health care resource utilization (HCRU) in the United States.To characterize HCRU and direct costs associated with CH in the United States from a third-party payer perspective.This retrospective observational study analyzed claims data from the Truven Health Analytics MarketScan Research Databases from 2009-2014. Two cohorts were compared: CH (2 diagnostic CH claims) and controls (nonheadache patients). All patients were enrolled continuously for ± 12 months from date of first CH claim. HCRU and direct costs were examined during 12 months post-index as all-cause and CH-specific. Cost and HCRU differences were compared using propensity score-adjusted bin bootstrapping.CH and control cohorts comprised 6,562 and 143,761 patients (aged ≥ 18 years), respectively. Post-index, 36.9% of CH patients versus 16.2% of controls were admitted to the emergency department (ED), and 14.8% versus 6.1% were hospitalized for any reason, respectively (each P0.001). CH patients had a 2- to 3-fold significantly greater number of all-cause mean claims for outpatient visits (26.5 vs. 12.4 visits), hospital visits (0.2 vs. 0.1 visits), and ED visits (1.0 vs. 0.3 visits) versus controls (all P0.001). The mean number of all-cause visits with reported radiology and laboratory claims was 1.5- to 2.0-fold greater in CH patients versus controls (each P0.001). Mean total direct costs for all-cause claims were more than 2-fold greater in post-index ($16,530) for CH patients versus controls ($7,197, P0.0001). Similarly, mean direct all-cause costs attributable to outpatient, inpatient, and pharmacy claims were significantly (2-fold) greater; radiology and ED claims were 3- to 4-fold greater among CH patients versus controls (all P0.001). However, CH was cited infrequently as a reason for HCRU, indicating that comorbid conditions may substantially increase HCRU in CH patients. The most common reasons for ED admission in CH patients were gastric ulcer with hemorrhage, sub-arachnoid hemorrhage, and headache symptoms. The most common hospital discharge diagnoses for CH patients not observed in top 10 reasons in controls included cerebral artery occlusion/unspecified with cerebral infarction, headache symptoms, syncope/collapse, and diverticulitis.These findings suggest that, from a payer perspective, CH patients incur significantly higher health care costs versus controls. However, these high costs were not exclusively headache-related. Extrapolating our cost findings to estimated U.S. prevalence rates, approximate total direct cost for CH is greater than $2.8 billion/year.Eli Lilly and Company was the sole sponsor and funder for this study and was responsible for the study design, data collection, data analysis, interpretation of data, and decision to publish the findings. All authors are employees and minor stockholders of Eli Lilly and Company.

Objective To characterize demographics, clinical characteristics, and treatment patterns of patients with cluster headache (CH). Background CH is an uncommon trigeminal autonomic cephalalgia with limited evidence‐based treatment options. Patients suffer from extremely painful unilateral headache attacks and autonomic symptoms with episodic and chronic cycles. Design/Methods This retrospective analysis used insurance claims from Truven Health Analytics MarketScan® research databases from 2009 to 2014. Two cohorts were compared: CH patients (with ≥2 CH claims) were propensity score matched with 4 non‐headache controls, all with continuous enrollment for 12 months before and after the date of first CH claim or matched period among controls. Results CH patients (N = 7589) were mainly male (57.4%) and 35‐64 years old (73.2%), with significantly more claims for comorbid conditions vs controls (N = 30,341), including depressive disorders (19.8% vs 10.0%), sleep disturbances (19.7% vs 9.1%), anxiety disorders (19.2% vs 8.7%), and tobacco use disorders (12.8% vs 5.3%), with 2.5 times greater odds of suicidal ideation (all P 12 unique prescription drug claims. Most commonly prescribed drug classes for CH patients included: opiate agonists (41%), corticosteroids (34%), 5HT‐1 agonists (32%), antidepressants (31%), NSAIDs (29%), anticonvulsants (28%), calcium antagonists (27%), and benzodiazepines (22%). Only 30.4% of CH patients received recognized CH treatments without opioids during the 12‐month post‐index period. These patients were less likely to visit emergency departments or need hospitalizations (26.8%) as compared to CH patients with no pharmacy claims for recognized CH treatments or opioids (33.6%; P