Use of Healthcare Claims Data to Generate Real-World Evidence on Patients With Drug-Resistant Epilepsy: Practical Considerations for Research.

Objectives: Regulatory bodies, health technology assessment agencies, payers, physicians, and other decision-makers increasingly recognize the importance of real-world evidence (RWE) to provide important and relevant insights on treatment patterns, burden/cost of illness, product safety, and long-term and comparative effectiveness. However, RWE generation requires a careful approach to ensure rigorous analysis and interpretation. There are limited examples of comprehensive methodology for the generation of RWE on patients who have undergone neuromodulation for drug-resistant epilepsy (DRE). This is likely due, at least in part, to the many challenges inherent in using real-world data to define DRE, neuromodulation (including type implanted), and related outcomes of interest. We sought to provide recommendations to enable generation of robust RWE that can increase knowledge of "real-world" patients with DRE and help inform the difficult decisions regarding treatment choices and reimbursement for this particularly vulnerable population. Methods: We drew upon our collective decades of experience in RWE generation and relevant disciplines (epidemiology, health economics, and biostatistics) to describe challenges inherent to this therapeutic area and to provide potential solutions thereto within healthcare claims databases. Several examples were provided from our experiences in DRE to further illustrate our recommendations for generation of robust RWE in this therapeutic area. Results: Our recommendations focus on considerations for the selection of an appropriate data source, development of a study timeline, exposure allotment (specifically, neuromodulation implantation for patients with DRE), and ascertainment of relevant outcomes. Conclusions: The need for RWE to inform healthcare decisions has never been greater and continues to grow in importance to regulators, payers, physicians, and other key stakeholders. However, as real-world data sources used to generate RWE are typically generated for reasons other than research, rigorous methodology is required to minimize bias and fully unlock their value.

Development and validation of algorithms for identifying lines of therapy in multiple myeloma using real-world data.

Aim: To validate algorithms based on electronic health data to identify composition of lines of therapy (LOT) in multiple myeloma (MM). Materials & methods: This study used available electronic health data for selected adults within Henry Ford Health (Michigan, USA) newly diagnosed with MM in 2006-2017. Algorithm performance in this population was verified via chart review. As with prior oncology studies, good performance was defined as positive predictive value (PPV) ≥75%. Results: Accuracy for identifying LOT1 (N = 133) was 85.0%. For the most frequent regimens, accuracy was 92.5-97.7%, PPV 80.6-93.8%, sensitivity 88.2-89.3% and specificity 94.3-99.1%. Algorithm performance decreased in subsequent LOTs, with decreasing sample sizes. Only 19.5% of patients received maintenance therapy during LOT1. Accuracy for identifying maintenance therapy was 85.7%; PPV for the most common maintenance therapy was 73.3%. Conclusion: Algorithms performed well in identifying LOT1 - especially more commonly used regimens - and slightly less well in identifying maintenance therapy therein.

Electronic health data helps us understand treatment in the 'real world'. The data has great value in cancer if we can identify the drugs patients get. Yet this is hard in multiple myeloma (MM), where treatment is complex. Algorithms (set of decision rules) to identify drugs can help here. We tested an existing algorithm for identifying 'lines of therapy' (LOT) given to patients with MM. Each LOT included one or more drugs for MM. We also developed and tested a new algorithm for 'maintenance therapy'. This is a treatment given to help maintain the response to the main MM treatment. We tested how well the algorithms identified MM treatments in electronic health data. This data came from Henry Ford Health, a healthcare system in Michigan, USA. Treatments were confirmed by cancer specialists who reviewed medical charts. The LOT algorithm was good at finding the first LOT patients. The maintenance algorithm did a fair job of identifying the most used therapy. Our algorithms could help researchers study the real-world treatment of MM.

Use of electronic health data to identify patients with moderate-to-severe osteoarthritis of the hip and/or knee and inadequate response to pain medications.

BACKGROUND: No algorithms exist to identify important osteoarthritis (OA) patient subgroups (i.e., moderate-to-severe disease, inadequate response to pain treatments) in electronic healthcare data, possibly due to the complexity in defining these characteristics as well as the lack of relevant measures in these data sources. We developed and validated algorithms intended for use with claims and/or electronic medical records (EMR) to identify these patient subgroups. METHODS: We obtained claims, EMR, and chart data from two integrated delivery networks. Chart data were used to identify the presence or absence of the three relevant OA-related characteristics (OA of the hip and/or knee, moderate-to-severe disease, inadequate/intolerable response to at least two pain-related medications); the resulting classification served as the benchmark for algorithm validation. We developed two sets of case-identification algorithms: one based on a literature review and clinical input (predefined algorithms), and another using machine learning (ML) methods (logistic regression, classification and regression tree, random forest). Patient classifications based on these algorithms were compared and validated against the chart data. RESULTS: We sampled and analyzed 571 adult patients, of whom 519 had OA of hip and/or knee, 489 had moderate-to-severe OA, and 431 had inadequate response to at least two pain medications. Individual predefined algorithms had high positive predictive values (all PPVs ≥ 0.83) for identifying each of these OA characteristics, but low negative predictive values (all NPVs between 0.16-0.54) and sometimes low sensitivity; their sensitivity and specificity for identifying patients with all three characteristics was 0.95 and 0.26, respectively (NPV 0.65, PPV 0.78, accuracy 0.77). ML-derived algorithms performed better in identifying this patient subgroup (range: sensitivity 0.77-0.86, specificity 0.66-0.75, PPV 0.88-0.92, NPV 0.47-0.62, accuracy 0.75-0.83). CONCLUSIONS: Predefined algorithms adequately identified OA characteristics of interest, but more sophisticated ML-based methods better differentiated between levels of disease severity and identified patients with inadequate response to analgesics. The ML methods performed well, yielding high PPV, NPV, sensitivity, specificity, and accuracy using either claims or EMR data. Use of these algorithms may expand the ability of real-world data to address questions of interest in this underserved patient population.

Patterns of utilization and cost of healthcare services and pharmacotherapy among patients with drug-resistant epilepsy during the two-year period before neurostimulation: A descriptive analysis of the journey to implantation based on analyses of a large United States healthcare claims database.

OBJECTIVE: To conduct a descriptive assessment of patterns of utilization and cost of healthcare services and pharmacotherapies among patients with drug-resistant epilepsy (DRE) before neurostimulator implantation. METHODS: Using a large United States healthcare claims database, we identified all patients with DRE who were implanted with neurostimulators between January 1, 2012, and December 31, 2019. Patients without an epilepsy diagnosis on their implantation date were excluded, as were those without (1) anti-seizure medication (ASM) dispenses within 12 months of implantation date, and (2) continuous enrollment for the 24-month period before this date. Demographic and clinical characteristics were assessed over the two-year period before implantation, as were patterns of utilization and cost of healthcare services and pharmacotherapy. Care was assessed as all-cause or epilepsy-related, with the latter defined as all medical (inpatient and outpatient) care resulting in diagnoses of epilepsy and all ASM dispenses. RESULTS: Eight hundred sixty patients met all selection criteria. Among these patients, comorbidities were common, including depression (27%), anxiety (30%), and learning disabilities (25%). Fifty-nine percent of patients had ≥1 all-cause hospitalizations; 57% had ≥1 epilepsy-related admissions. Patients averaged 8.6 epilepsy-related visits to physicians' offices, including 5.1 neurologist visits. Mean all-cause and epilepsy-related healthcare costs during the pre-implantation period were $123,500 and $91,995, respectively; corresponding median values were $74,567 and $53,029. Median monthly all-cause healthcare costs increased by 138% during the 24-month period (from $1,042 to $2,481 in the month prior to implantation); median epilepsy-related costs, by 290% (from $383 to $1,492). CONCLUSIONS: The two-year period before neurostimulator implantation is a long and costly journey. Estimates likely minimize the burden experienced during this period, given that seizure frequency and severity-and corresponding impacts on quality of life-were unavailable in these data. Further research is needed to understand the clinical, economic, and psychological impact of the time between DRE onset and implantation among qualifying patients.

Impact of Vagus Nerve Stimulation for the Treatment of Drug-resistant Epilepsy on Patterns of Use and Cost of Health Care Services and Pharmacotherapy: Comparisons of the 24-Month Periods Before and After Implantation.

PURPOSE: This study examines the impact of vagus nerve stimulation (VNS) as treatment for drug-resistant epilepsy (DRE) on the use and cost of health care services and pharmacotherapy. METHODS: Using a large US health care claims database, we identified all patients with DRE who underwent VNS between January 1, 2012 and December 31, 2019. VNS implantation date was designated as the index date, and patients had to be continuously enrolled for the 24-month period before this date (preindex period). Outcomes included all-cause and epilepsy-related hospitalization, emergency department (ED) visits, and health care costs; health care claims resulting in an epilepsy diagnosis and all claims for antiseizure medications were deemed epilepsy related. Preindex data, except care related to preoperative medical clearance for VNS, were used to estimate multivariate regression models predicting outcomes during the 24-month postindex period (follow-up period). Predicted outcomes during follow-up were then compared with observed values. As a sensitivity analysis, we also replicated all analyses among subgroups defined by comorbid depression. FINDINGS: A total of 659 patients underwent VNS for DRE and met the selection criteria. For the composite outcome of all-cause hospitalizations and ED visits, observed values were 42% lower than expected during the 24-month follow-up period; for the composite outcome of epilepsy-related hospitalizations and ED visits, observed values were 49% lower (P < 0.001 for both). Observed mean total all-cause costs, inclusive of costs of the procedure, were not significantly different than expected costs by month 19 of follow-up; mean total epilepsy-related costs were comparable by month 18. Findings were similar in subgroups with and without depression, although nominally greater differences (observed - expected) were seen in those with comorbid depression. IMPLICATIONS: Our findings suggest that VNS is associated with decreased risk of hospitalization or ED visits (all cause and epilepsy related) during the 2-year period subsequent to implantation and may become cost-neutral within 2 years of implantation (vs continued medical management of DRE without VNS). Although expected outcomes were estimated based on the 24-month period before implantation, the degree to which they approximated what would have happened in the absence of VNS is unknowable. Further research is needed to better understand the extend and duration of the impact of VNS on seizure frequency and severity and health-related quality of life, including its performance among those with and without comorbid depression.

Epidemiology and Economic Outcomes Associated with Timely versus Delayed Receipt of Appropriate Antibiotic Therapy among US Patients Hospitalized for Native Septic Arthritis: A Retrospective Cohort Study.

Timely administration of appropriate antibiotic therapy is associated with better patient outcomes and lower costs of care compared to delayed appropriate therapy, yet initial treatment is often empiric since causal pathogens are typically unknown upon presentation. The challenge for clinicians is balancing selection of adequate coverage treatment regimens, adherence to antimicrobial stewardship principles to deter resistance, and financial constraints. This retrospective cohort study aimed to assess the magnitude and impact of delayed appropriate antibiotic therapy among patients hospitalized with septic arthritis (SA) in the U.S. from 2017 to 2019 using healthcare encounter data. Timely appropriate therapy was defined as the receipt of antibiotic(s) with in vitro activity against identified pathogens within two days of admission; all other patients were assumed to have received delayed appropriate therapy. Of the 517 patients admitted to hospital for SA who met all selection criteria, 26 (5.0%) received delayed appropriate therapy. In inverse-probability-treatment-weighting-adjusted analyses, the receipt of delayed appropriate therapy was associated with an additional 1.1 days of antibiotic therapy, 1.4 days in length of stay, and $3531 in hospital costs (all vs. timely appropriate therapy; all p ≤ 0.02). Timely appropriate therapy was associated with a twofold increased likelihood of antibiotic de-escalation during the SA admission.

Comparison of utilization and cost of healthcare services and pharmacotherapy following implantation of vagus nerve stimulation vs. responsive neurostimulation or deep brain stimulation for the treatment of drug-resistant epilepsy: analyses of a large United States healthcare claims database.

AIM: Vagus nerve stimulation (VNS), responsive neurostimulation (RNS), and deep brain stimulation (DBS) all are options for drug-resistant epilepsy (DRE). However, little is known about how the choice of neurostimulation impacts subsequent healthcare costs. MATERIALS AND METHODS: We used a large US healthcare claims database to identify all patients with epilepsy who underwent neurostimulation between 2012 and 2019. Eligible patients were identified and stratified based on procedure received (VNS vs. RNS/DBS). VNS patients were matched by propensity scoring to RNS/DBS patients. Use and cost of healthcare resources and pharmacotherapy were ascertained over the 24-month period following neurostimulation, incorporating all-cause and epilepsy-related measures. Disease-related care was defined based on diagnoses of claims for medical care and relevant pharmacotherapies. RESULTS: Seven hundred and ninety-two patients met all selection criteria. VNS patients were younger, were prescribed a higher pre-index mean number of anti-seizure medications (ASMs), and had higher pre-index levels of use and cost of epilepsy-related healthcare services. We propensity matched 148 VNS patients to an equal number of RNS/DBS patients. One year following index date (inclusive), mean total all-cause healthcare costs were 50% lower among VNS patients than RNS/DBS patients, and mean epilepsy-related costs were 55% lower; corresponding decreases at the two-year mark were 41% and 48%, respectively. LIMITATIONS: Some clinical variables, such as seizure frequency and severity, quality of life, and functional status were unavailable in the database, precluding our ability to comprehensively assess differences between devices. Administrative claims data are subject to billing code errors, inaccuracies, and missing data, resulting in possible misclassification and/or unmeasured confounding. CONCLUSIONS: After matching, VNS was associated with significantly lower all-cause and epilepsy-related costs for the two-year period following implantation. All-cause and epilepsy-related costs remained statistically significantly lower for VNS even after costs of implantation were excluded.

For some people with epilepsy, medications do not work very well. For these people, other treatment options exist. One such treatment is neurostimulation. There are three types of neurostimulators­vagus nerve stimulation (VNS), responsive neurostimulation (RNS), and deep brain stimulation (DBS). All three devices are known to reduce seizures in patients who have tried several medications. However, it is not known how these devices impact the costs of care. We compared the use and costs of medical care over 2 years between patients who got VNS and those who got RNS/DBS. Before comparing the groups, we made sure that they were balanced. Patients who got VNS were less likely than patients who got RNS/DBS to go to the hospital during the follow-up period. Patients who got VNS also had lower healthcare costs than patients who got RNS/DBS during follow-up. These differences were seen for all medical care costs. These differences also were seen in the costs of care for epilepsy. Our results suggest that the use of VNS is associated with fewer hospitalizations than RNS/DBS, and also that use of VNS is associated with lower healthcare costs than RNS/DBS.

Process, resource and success factors associated with chimeric antigen receptor T-cell therapy for multiple myeloma.

Background: Chimeric antigen receptor T-cell (CAR-T) therapy represents a new frontier in multiple myeloma. It is important to understand critical success factors (CSFs) that may optimize its use in this therapeutic area. Methods: We estimated the CAR-T process using time-driven activity-based costing. Information was obtained through interviews at four US oncology centers and with payer representatives, and through publicly available data. Results: The CAR-T process comprises 13 steps which take 177 days; it was estimated to include 46 professionals and ten care settings. CSFs included proactive collaboration, streamlined reimbursement and CAR-T administration in alternative settings when possible. Implementing CSFs may reduce episode time and costs by 14.4 and 13.2%, respectively. Conclusion: Our research provides a blueprint for improving efficiencies in CAR-T therapy, thereby increasing its sustainability for multiple myeloma.

Patients with multiple myeloma can now be treated with chimeric antigen receptor T-cell (CAR-T) therapy. We studied how CAR-T therapy is used for multiple myeloma. We also studied things that could help make this therapy easier for doctors to use. The CAR-T process takes 13 steps and 177 days. It begins with the choice to use the therapy and ends about 100 days after it is used. The process uses 46 different healthcare professionals and ten different locations. We found several possible changes that can improve this process. Of these changes, three stand out. First, improved teamwork between members of the care team can help them prepare for and resolve possible problems. Second, reducing insurance red tape will make it easier to provide CAR-T therapy to patients. Third, allowing use of CAR-T therapy in places other than hospitals can help more patients receive this therapy. If applied, these three things may lower the time needed to treat patients by 14.4% and may reduce costs by 13.2%.

Incidence of urinary tract infection following initiation of intermittent catheterization among patients with recent spinal cord injury in Germany and the Netherlands.

Objective: To assess incidence of urinary tract infection (UTI) among patients with recent spinal cord injury (SCI) who initiated intermittent catheterization (IC).Design: Retrospective chart review.Setting: Two European SCI rehabilitation centers.Participants: Seventy-three consecutive patients with recent SCI who initiated IC.Outcome measures: Incidence of UTI, using six different definitions, each based on microbiology ± symptomatology ± mention of UTI . Rates were expressed in terms of numbers of UTIs per 100 patient-months (PMs). Attention was focused on first-noted UTI during the three-month follow-up, as assessed with each of the six definitions.Results: Fifty-eight percent of patients (n = 33) met ≥1 definitions for UTI during follow-up (rate: 31.5 UTIs per 100 PMs), ranging from 14% (5.3 per 100 PMs; definition requiring bacteriuria, pyuria, and presence of symptoms) to 45% (22.7 per 100 PMs; definition requiring "mention of UTI"). Ten cases were identified using the definition that required bacteriuria, pyuria, and symptoms, whereas definitions that required bacteriuria and either pyuria or symptoms resulted in the identification of 20-25 cases. Median time to UTI ranged from 42 days ("mention of UTI") to 81 days (definition requiring bacteriuria and ≥100 leukocytes/mm3).Conclusion: Depending on definition, 14% to 45% of patients with recent SCI experience UTI within three months of initiating IC. Definitions requiring bacteriuria and either pyuria or symptoms consistently identified about twice as many cases as those that required all three conditions. Standardizing definitions may help improve detection, treatment, and prevention of UTI within this vulnerable population.

Correction to: Real-World Predictors of Major Adverse Cardiovascular Events and Major Adverse Limb Events Among Patients with Chronic Coronary Artery Disease and/or Peripheral Arterial Disease.

In the original article. The third author name is incorrect. The correct name is Nicholas J. Leeper.

Real-World Predictors of Major Adverse Cardiovascular Events and Major Adverse Limb Events Among Patients with Chronic Coronary Artery Disease and/or Peripheral Arterial Disease.

INTRODUCTION: Collectively, coronary artery disease (CAD) and peripheral artery disease (PAD) are highly prevalent and are associated with increased risk of major adverse cardiovascular events (MACE) and major adverse limb events (MALE). Improved ability to identify those at highest risk of these events may help optimize secondary prevention efforts in this population. METHODS: Using the Optum Integrated Database, a healthcare claims database linked to electronic medical records (EMR), we identified patients with CAD and/or PAD between January 1, 2009, and September 30, 2016. Index date was the earliest date on which chronic and stable disease was established. Follow-up ran from index date until earliest of patient death, plan disenrollment, or end of study. We developed multivariate Cox proportional hazards models to identify predictors of MACE and/or MALE, limited to measures presumed available to clinicians during patient encounters (e.g., age, presence of selected comorbidities). RESULTS: A total of 20,932 patients met all selection criteria; 86.9% had CAD and 26.1% had PAD; 13% (n = 2753) experienced MACE and/or MALE during a mean follow-up of 2.3 years, for a rate of 7.1 events per 100 person-years (PYs). We identified 11 predictors of MACE and/or MALE. Most (95.1%) patients had ≥ 1 predictors; 34.0% and 6.9% had ≥ 4 and ≥ 6, respectively. Incidence of MACE and/or MALE was strongly correlated with number of predictors (r2 = 0.98), ranging from 2.3 per 100 PYs among those without predictors (4.9% of patients) to 18.7 per 100 PYs among those with ≥ 6 (6.9%). Patients with ≥ 1 predictor experienced 7.4 MACE and/or MALE per 100 PYs. CONCLUSION: Readily identifiable predictors can be used to identify subgroups with chronic CAD and/or PAD at elevated risk of MACE and/or MALE. Further research is required to understand the degree to which these subgroups may benefit from early identification and treatment with secondary prevention therapies. FUNDING: Janssen Pharmaceuticals.

Antimicrobial Resistance or Delayed Appropriate Therapy-Does One Influence Outcomes More Than the Other Among Patients With Serious Infections Due to Carbapenem-Resistant Versus Carbapenem-Susceptible Enterobacteriaceae?

BACKGROUND: The relative contribution of antimicrobial resistance versus delayed appropriate treatment to the clinical and economic burden of Enterobacteriaceae infections is not well understood. METHODS: Using a large US hospital database, we identified all admissions between July 2011 and September 2014 with evidence of serious Enterobacteriaceae infection. The "index date" was the earliest date on which a culture positive for Enterobacteriaceae was drawn. Infections were classified as carbapenem-resistant (CRE) or carbapenem-susceptible (CSE). Receipt of antimicrobials with activity against all index pathogens on the index date or ≤2 days thereafter was deemed as "timely"; all other instances were "delayed." Associations between CRE status and delayed appropriate therapy on outcomes were estimated using inverse probability weighting and multivariate regression models (ie, logistic model for discharge destination and composite mortality [in-hospital death or discharge to hospice] or generalized linear model for duration of antibiotic therapy, hospital length of stay [LOS], and costs). RESULTS: A total of 50 069 patients met selection criteria; 514 patients (1.0%) had CRE. Overall, 67.5% of CSE patients (vs 44.6%, CRE) received timely appropriate therapy (P < .01). Irrespective of CRE status, patients who received delayed appropriate therapy had longer durations of antibiotic therapy and LOS, higher costs, lower likelihood of discharge to home, and greater likelihood of the composite mortality outcome (P for trend < .01). CONCLUSIONS: Delayed appropriate therapy is a more important driver of outcomes than CRE, although the 2 factors are somewhat synergistic. Better methods of early CRE identification may improve outcomes in this patient population.

Incidence and Cost of Major Adverse Cardiovascular Events and Major Adverse Limb Events in Patients With Chronic Coronary Artery Disease or Peripheral Artery Disease.

Chronic coronary artery disease (CAD) and peripheral artery disease (PAD) are both associated with elevated risks of major adverse cardiovascular events (MACE) and major adverse limb events (MALE). The frequency of these events in patients with CAD or PAD, and their corresponding costs, are not well understood. Accordingly, we describe the incidence and cost of both MACE and MALE in patients with CAD or PAD. Using a database that included healthcare claims linked to electronic medical records, we identified patients with evidence of chronic CAD and PAD, respectively, between January 1, 2009, and September 30, 2016. We assessed the occurrence of MACE (defined as myocardial infarction, stroke, or cardiovascular-related death) and MALE (critical limb ischemia, amputation, or peripheral artery disease-related revascularization). A total of 99,730 patients met all selection criteria: 86.0% had CAD, 25.8% had PAD, and 11.8% had both. Mean (±standard deviation) age was 67.7 (±11.5) years and 59.8% were male. During follow-up (mean: 1.8 years), 13.6% experienced MACE or MALE (6.3 per 100 person-years [PYs]), predominantly MACE (9.6% [4.3 per 100 PYs]). Adjusted 1-year healthcare costs were $44,495 greater in patients who experienced MACE or MALE (mean [95% confidence interval]: $64,099 [$33,254 to $123,557] vs $19,604 [$10,175 to $37,771]; p < 0.001). In conclusion, approximately 1 in 7 patients with chronic CAD or PAD experiences additional MACE or MALE within approximately 2 years of follow-up; the relatively high risk and cost of these events highlight the need for new secondary prevention therapies that may improve outcomes in these patients.

Impact of Delayed Appropriate Antibiotic Therapy on Patient Outcomes by Antibiotic Resistance Status From Serious Gram-negative Bacterial Infections.

BACKGROUND: To examine the clinical and economic burdens associated with delayed receipt of appropriate therapy among patients with Gram-negative bacteria (GNB) infections, stratified by antibiotic resistance status. MATERIALS AND METHODS: Retrospective analysis using the Premier Hospital Database. Adult admissions (July 2011-September 2014) with evidence of complicated urinary tract infection, complicated intra-abdominal infection, hospital-associated pneumonia, or bloodstream infection, length of stay (LOS) ≥1 days and a positive GNB culture from a site consistent with infection type (culture draw date = index date) were identified and stratified by antibiotic susceptibility to index pathogens. Delayed appropriate therapy was defined as no receipt of antibiotic(s) with relevant microbiological activity on or within 2 days of index date. Inverse probability weighting and multivariate regression analyses were used to estimate the association between delayed appropriate therapy and outcomes. Generalized linear models were used to evaluate postindex duration of antibiotic therapy, LOS and total in-hospital costs. Logistic models were used to evaluate discharge destination and in-hospital mortality/discharge to hospice. RESULTS: A total of 56,357 patients with GNB infections were identified (resistant, n = 6,055; susceptible, n = 50,302). Delayed appropriate therapy was received by 2,800 (46.2%) patients with resistant and 16,585 (33.0%) patients with susceptible infections. Using multivariate analysis, delayed appropriate therapy was associated with worse outcomes including ∼70% increase in LOS, ∼65% increase in total in-hospital costs and ∼20% increase in the risk of in-hospital mortality/discharge to hospice, regardless of susceptibility status. CONCLUSIONS: Our results suggest that outcomes in patients with GNB infections, regardless of resistance status, significantly improve if timely appropriate therapy can be provided.

Economic burden of hospital admissions for patients with acute bacterial skin and skin structure infections in the United States.

Objectives: We estimated the total US hospital costs associated with acute bacterial skin and skin structure infection (ABSSSI) admissions as well as the admissions that may have been potential candidates for outpatient parenteral antimicrobial therapy (OPAT). Methods: We assessed inpatient admissions for ABSSSI from the Premier database (2011-2014), focusing on all admissions of adults with length of stay (LOS) ≥ 1 days and a primary diagnosis of erysipelas, cellulitis/abscess, or wound infection. We performed a detailed analysis of 2014 admissions for patient, treatment, hospital, and economic characteristic variables. Using published selection criteria, we identified a subset of patients admitted in 2014 who may have been potential candidates for OPAT. Results: We analyzed 277,971 admissions. In 2014, most admissions were for cellulitis without major complications or comorbidities; mean ± SD LOS was 4.0 ± 3.0 days, and total hospital cost per admission was $6400 ± $6874, 54% of which was attributable to room costs. Among 2014 admissions, 14% involved patients with clinical characteristics suggesting that they were consistent with guideline recommendations for exclusive treatment with OPAT. Compared with all admissions in the year, these admissions were of younger patients (aged 50 vs. 55 years), admitted more frequently for cellulitis (90% vs. 70%), with shorter LOS (2.8 ± 1.8 days), and lower mean total hospital cost per admission ($4080 ± $3066). Conclusions: Admissions for ABSSSI impose a substantial cost to US hospitals, with half of costs attributable to room costs. When extrapolated to all US patients admitted to the hospital for ABSSSI during 2014, had OPAT guidelines been universally followed, admissions may have been reduced by 14%, thereby saving US hospitals $161 million.

Emergency Department Time Course for Mild Traumatic Brain Injury Workup.

INTRODUCTION: Mild traumatic brain injury (mTBI) is a common cause for visits to the emergency department (ED). The actual time required for an ED workup of a patient with mTBI in the United States is not well known. National emergency medicine organizations have recommended reducing unnecessary testing, including head computed tomography (CT) for these patients.10. METHODS: To examine this issue, we developed a care map that included each step of evaluation of mTBI (Glasgow Coma Scale Score 13-15) - from initial presentation to the ED to discharge. Time spent at each step was estimated by a panel of United States emergency physicians and nurses. We subsequently validated time estimates using retrospectively collected, real-time data at two EDs. Length of stay (LOS) time differences between admission and discharged patients were calculated for patients being evaluated for mTBI. RESULTS: Evaluation for mTBI was estimated at 401 minutes (6.6 hours) in EDs. Time related to head CT comprised about one-half of the total LOS. Real-time data from two sites corroborated the estimate of median time difference between ED admission and discharge, at 6.3 hours for mTBI. CONCLUSION: Limiting use of head CT as part of the workup of mTBI to more serious cases may reduce time spent in the ED and potentially improve overall ED throughput.

Cost-effectiveness of a Ceramide-Infused Skin Barrier Versus a Standard Barrier: Findings From a Long-Term Cost-effectiveness Analysis.

PURPOSE: To assess the cost-effectiveness of a ceramide-infused skin barrier (CIB) versus other skin barriers (standard of care) among patients who have undergone ostomy creation. DESIGN: Cost-effectiveness analysis, based on a decision-analytic model that was estimated using data from the ADVOCATE (A Study Determining Variances in Ostomy Skin Conditions And The Economic Impact) trial, which investigated stoma-related healthcare costs over 12 weeks among patients who recently underwent fecal ostomy, and from other sources. SUBJECTS AND SETTING: Analysis was based on a hypothetical cohort of 1000 patients who recently underwent fecal ostomy; over a 1-year period, 500 patients were assumed to use CIB and 500 were assumed to use standard of care. METHODS: We adapted a previous economic model to estimate expected 1-year costs and outcomes among persons with a new ostomy assumed to use CIB versus standard of care. Outcomes of interest included peristomal skin complications (PSCs) (up to 2 during the 1-year period of interest) and quality-adjusted life days (QALDs); QALDs vary from 1, indicating a day of perfect health to 0, indicating a day with the lowest possible health (deceased). Subjects were assigned QALDs on a daily basis, with the value of the QALD on any given day based on whether the patient was experiencing a PSC. Costs included those related to skin barriers, ostomy accessories, and care of PSCs. The incremental cost-effectiveness of CIB versus standard of care was estimated as the incremental cost per PSC averted and QALD gained, respectively; net monetary benefit of CIB was also estimated. All analyses were run using the perspective of an Australian payer. RESULTS: On a per-patient basis, use of CIB was expected over a 1-year period to result in 0.16 fewer PSCs, an additional 0.35 QALDs, and a savings of A$180 (Australian dollars, US $137) in healthcare costs all versus standard of care. Management with CIB provided a net monetary benefit (calculated as the product of maximum willingness to pay for 1 QALD times additional QALDs with CIB less the incremental cost of CIB) of A$228 (US $174). Probabilistic sensitivity analysis was also completed; it revealed that 97% of model runs resulted in fewer expected PSCs with CIB; 92% of these runs resulted in lower expected costs with CIB. CONCLUSIONS: Findings suggest that the CIB is a cost-effective skin barrier for persons living with an ostomy.

Prostacyclin Use Among Patients with Pulmonary Arterial Hypertension in the United States: A Retrospective Analysis of a Large Health Care Claims Database.

BACKGROUND: Prostacyclins play an important role in the management of pulmonary arterial hypertension (PAH). Intravenous prostacyclin was the first disease-specific treatment for patients with PAH. Subcutaneous and nonparenteral (oral or inhaled) formulations have subsequently become available. However, data are lacking on how these different prostacyclin formulations are being used in clinical practice. OBJECTIVES: To (a) conduct retrospective analyses of a large U.S. health care claims database to describe the characteristics of patients with PAH initiating prostacyclin therapy, and (b) evaluate their treatment patterns, health care resource use, and associated costs. METHODS: Truven Commercial and Medicare databases were used to define annual cohorts of adults with PAH between January 1, 2010, and October 31, 2015. These patients were identified based on claims with ICD-9-CM diagnoses indicative of PAH (codes 416.0 or 416.8) and claims for PAH-specific medications and PAH-related procedures. Patients with evidence of receiving a prostacyclin were identified, and prostacyclin use was categorized as parenteral versus nonparenteral. Health care costs were assessed alternatively employing an all-cause and PAH-related perspective. RESULTS: Of 13,633 adults with identified PAH, 3,006 (22.0%) received a prostacyclin during at least 1 year of the study period, and annual prevalence of prostacyclin use ranged from 19.9% to 22.6%. Across calendar years, the median age of prostacyclin users ranged from 56 to 58 years, and 71.9%-75.8% were female. Among prostacyclin users, parenteral prostacyclin use declined from 63.2% in 2010 to 46.5% in 2015, while use of nonparenteral prostacyclins increased from 39.7% to 56.2% over the same period (both P < 0.001). Few patients (2.7%-4.1%) received both parenteral and nonparenteral formulations in a given calendar year. Among patients using prostacyclins, receipt of other PAH-specific medications increased from 62.1% in 2010 to 79.2% in 2015. Comparing the 6 months preceding the first prostacyclin prescription (any formulation) to the 6 months subsequent, mean overall health care costs rose from $61,243 to $119,283, and PAH-related health care costs increased from $58,815 to $116,661, driven mainly by PAH-specific medications, spending on which increased from $15,053 to $73,705 (all P < 0.001). CONCLUSIONS: While overall use of prostacyclins was relatively constant from 2010 to 2015, our findings revealed a shift from parenteral to nonparenteral formulations, coupled with increased prescribing of PAH-related medications from other drug classes. Further research is needed to better understand how these changes in patterns of prostacyclin use affect levels of health care resource utilization and costs and patients' overall quality of life. DISCLOSURES: This research was funded by Actelion Pharmaceuticals US, a Janssen pharmaceutical company of Johnson & Johnson. Burger has received grant funding from Actelion, Gilead Sciences, and United Therapeutics; personal fees from Actelion and Gilead Sciences; and nonfinancial support from Actelion. Pruett, Lickert, and Drake are employees of Actelion. Pruett and Lickert own shares in Actelion. Berger and Murphy are employees of Evidera, a consultancy that received payment from Actelion to conduct this research. Pruett, Lickert, Berger, and Drake contributed to study conception and participated with Burger in study design. Lickert and Murphy performed the data analyses. Burger, Pruett, Lickert, Murphy, and Drake interpreted the data. All authors participated in manuscript drafting and/or critical revision, approved the final manuscript, and agree to be accountable for all aspects of the work.

Clinical and economic consequences of post-operative infections following major elective surgery in U.S. hospitals.

BACKGROUND: The incidence and consequences of post-operative infections in patients undergoing major elective surgery is not well understood. METHODS: Using a large U.S. healthcare claims database, we identified all patients who underwent major elective surgery between January 1, 2007, and December 31, 2009. For each such patient, date of the first-noted surgery during this period was designated as the index date. Patients who developed infections within 30 d of their index date were matched to those who did not using propensity score matching. We compared hospital readmissions, mortality, and total healthcare cost during the 30-d period following index date between patients who developed post-operative infections versus those who did not. RESULTS: A total of 327,618 patients met all selection criteria. At 30 d following major elective surgery, 10.9% of patients had evidence of post-operative infections, 39% of which occurred during the index admission. In propensity-matched analyses, patients with post-operative infections were about five times as likely to be readmitted to hospital (11.3% vs. 2.1%) and more than twice as likely to die (0.8% vs. 0.3%) in the 30-d period following surgery; their average total healthcare cost was $8,417 higher ($29,229 vs. $20,812) (all comparisons, p<0.01). CONCLUSION: Approximately one in 10 patients undergoing major elective surgery develop post-operative infections by day 30. Post-operative infections are associated with significantly worse clinical outcomes and higher total healthcare cost.

Can dialysis patients be accurately identified using healthcare claims data?

BACKGROUND: While health insurance claims data are often used to estimate the costs of renal replacement therapy in patients with end-stage renal disease (ESRD), the accuracy of methods used to identify patients receiving dialysis - especially peritoneal dialysis (PD) and hemodialysis (HD) - in these data is unknown. METHODS: The study population consisted of all persons aged 18 - 63 years in a large US integrated health plan with ESRD and dialysis-related billing codes (i.e., diagnosis, procedures) on healthcare encounters between January 1, 2005, and December 31, 2008. Using billing codes for all healthcare encounters within 30 days of each patient's first dialysis-related claim ("index encounter"), we attempted to designate each study subject as either a "PD patient" or "HD patient." Using alternative windows of ± 30 days, ± 90 days, and ± 180 days around the index encounter, we reviewed patients' medical records to determine the dialysis modality actually received. We calculated the positive predictive value (PPV) for each dialysis-related billing code, using information in patients' medical records as the "gold standard." RESULTS: We identified a total of 233 patients with evidence of ESRD and receipt of dialysis in healthcare claims data. Based on examination of billing codes, 43 and 173 study subjects were designated PD patients and HD patients, respectively (14 patients had evidence of PD and HD, and modality could not be ascertained for 31 patients). The PPV of codes used to identify PD patients was low based on a ± 30-day medical record review window (34.9%), and increased with use of ± 90-day and ± 180-day windows (both 67.4%). The PPV for codes used to identify HD patients was uniformly high - 86.7% based on ± 30-day review, 90.8% based on ± 90-day review, and 93.1% based on ± 180-day review. CONCLUSIONS: While HD patients could be accurately identified using billing codes in healthcare claims data, case identification was much more problematic for patients receiving PD.