Resource utilization for chimeric antigen receptor T cell therapy versus autologous hematopoietic cell transplantation in patients with B cell lymphoma.

CD19-directed chimeric antigen receptor T cells (CAR-T) have emerged as a highly efficacious treatment for patients with relapsed/refractory (r/r) B cell lymphoma (BCL). The value of CAR-T for these patients is indisputable, but one-off production costs are high, and little is known about the ancillary resource consumption associated with CAR-T treatment. Here, we compared the resource use and costs of CAR-T treatment with high-dose chemotherapy followed by autologous stem cell transplantation (ASCT) for patients with r/r BCL. Standard operating procedures were used to develop a process model in ClipMedPPM, which comprises all activities and processes to sustain or generate treatment components that together constitute a treatment path. The software allows a graphic representation and the use of standardized linguistic elements for comparison of different treatment paths. Detailed processes involved in CAR-T treatments (n = 1041 processes) and in ASCT (n = 1535) were analyzed for time consumption of treatment phases and personnel. Process costs were calculated using financial controlling data. CAR-T treatment required ~ 30% less staff time than ASCT (primarily nursing staff) due to fewer chemotherapy cycles, less outpatient visits, and shorter hospital stays. For CAR-T, production costs were ~ 8 × higher, but overall treatment time was shorter compared with ASCT (30 vs 48 days), and direct labor and overhead costs were 40% and 10% lower, respectively. Excluding high product costs, CAR-T uses fewer hospital resources than ASCT for r/r BCL. Fewer hospital days for CAR-T compared to ASCT treatment and the conservation of hospital resources are beneficial to patients and the healthcare system.

Brown fat does not cause cachexia in cancer patients: A large retrospective longitudinal FDG-PET/CT cohort study.

BACKGROUND: Brown adipose tissue (BAT) is a specialized form of adipose tissue, able to increase energy expenditure by heat generation in response to various stimuli. Recently, its pathological activation has been implicated in the pathogenesis of cancer cachexia. To establish a causal relationship, we retrospectively investigated the longitudinal changes in BAT and cancer in a large FDG-PET/CT cohort. METHODS: We retrospectively analyzed 13 461 FDG-PET/CT examinations of n = 8 409 patients at our institution from the winter months of 2007-2015. We graded the activation strength of BAT based on the anatomical location of the most caudally activated BAT depot into three tiers, and the stage of the cancer into five general grades. We validated the cancer grading by an interreader analysis and correlation with histopathological stage. Ambient temperature data (seven-day average before the examination) was obtained from a meteorological station close to the hospital. Changes of BAT, cancer, body mass index (BMI) and temperature between the different examinations were examined with Spearman's test and a mixed linear model for correlation, and with a causal inference algorithm for causality. RESULTS: We found n = 283 patients with at least two examinations and active BAT in at least one of them. There was no significant interaction between the changes in BAT activation, cancer burden or BMI. Temperature changes exhibited a strong negative correlation with BAT activity (ϱ = -0.57, p<0.00001). These results were confirmed with the mixed linear model. Causal inference revealed a link of Temperature ➜ BAT in all subjects and also of BMI ➜ BAT in subjects who had lost weight and increased cancer burden, but no role of cancer and no causal links of BAT ➜ BMI. CONCLUSIONS: Our data did not confirm the hypothesis that BAT plays a major role in cancer-mediated weight loss. Temperature changes are the main driver of incidental BAT activity on FDG-PET scans.

[Care Management for Polytrauma Patients in a Level-1 Trauma Centre]. / Care Management für Polytrauma-Patientinnen und -Patienten in einem überregionalen Level-1- Traumazentrum.

Care Management for Polytrauma Patients in a Level-1 Trauma Centre Abstract. In our level-1 trauma institution, polytrauma patients with an Injury Severity Score of 16 or higher are facing waiting times for transfer to a rehabilitation facility, causing a negative financial outcome for our institution. The purpose of this study is to stimulate rapid transfer to a rehabilitation facility. In a single-centre case study, care management for (poly)trauma patients was started to ensure time-directed treatment for trauma patients related to Diagnosis-Related Groups (DRG). In the period of 2013-2018 there was an increase in trauma admissions up to 14 % (n = 16 157) with a mean length of hospital stay of 6.4 days, together with a reduction in the number of trauma bed capacity from 50 to 42. In relation to the DRGs, regular trauma patients who were not in need of a stationary rehabilitation facility stayed in line with the expected time of hospital stay. But (poly)trauma patients (n = 1831) with the need of a stationary stay in a rehabilitation centre were faced with waiting times before they could be transferred. The average excess waiting time in relation to DRG for polytrauma patients was 5.1 days. Trauma patients for a rehabilitation centre have a higher Case Mix Index (CMI) compared to those who do not require inpatient rehabilitation (4.22 versus 1.04, p <0.0001). With about 280 trauma patients annually waiting an extra 5.1 days for transfer to a rehabilitation facility, the financial burden for our department amounts to Swiss francs 885,360 without reimbursement. Since no extra bed capacities in rehabilitation facilities are available in our area, it may be advised to set up an early in-hospital trauma rehabilitation program in a level-1 trauma centre in order to reduce financial loss.

Reimbursement of care for severe trauma under SwissDRG.

QUESTIONS: Treatment of patients with severe injuries is costly, with best results achieved in specialised care centres. However, diagnosis-related group (DRG)-based prospective payment systems have difficulties in depicting treatment costs for specialised care. We analysed reimbursement of care for severe trauma in the first 3 years after the introduction of the Swiss DRG reimbursement system (2012-2014). MATERIAL/METHODS: The study included all patients with solely basic insurance, hospital admission after 01.01.2011 and discharge in 2011 or 2012, who were admitted to the resuscitation room of the University Hospital of Zurich, aged ≥16 years and with an injury severity score (ISS) ≥16 (n = 364). Clinical, financial and administrative data were extracted from the electronic medical records. All cases were grouped into DRGs according to different SwissDRG versions. We considered results to be significant if p ≤0.002. RESULTS: The mean deficit decreased from 12 065 CHF under SwissDRG 1.0 (2012) to 2 902 CHF under SwissDRG 3.0 (2014). The main reason for the reduction of average deficits was a refinement of the DRG algorithm with a regrouping of 23 cases with an ISS ≥16 from MDC 01 to DRGs within MDC21A. Predictors of an increased total loss per case could be identified: for example, high total number of surgical interventions, surgeries on multiple anatomical regions or operations on the pelvis (p ≤0.002). Psychiatric diagnoses in general were also significant predictors of deficit per case (p<0.001). CONCLUSION: The reimbursement for care of severely injured patients needs further improvement. Cost neutral treatment was not possible under the first three versions of SwissDRG.

Total inpatient treatment costs in patients with severe burns: towards a more accurate reimbursement model.

PRINCIPLES: Reimbursement systems have difficulties depicting the actual cost of burn treatment, leaving care providers with a significant financial burden. Our aim was to establish a simple and accurate reimbursement model compatible with prospective payment systems. METHODS: A total of 370 966 electronic medical records of patients discharged in 2012 to 2013 from Swiss university hospitals were reviewed. A total of 828 cases of burns including 109 cases of severe burns were retained. Costs, revenues and earnings for severe and nonsevere burns were analysed and a linear regression model predicting total inpatient treatment costs was established. RESULTS: The median total costs per case for severe burns was tenfold higher than for nonsevere burns (179 949 CHF [167 353 EUR] vs 11 312 CHF [10 520 EUR], interquartile ranges 96 782-328 618 CHF vs 4 874-27 783 CHF, p <0.001). The median of earnings per case for nonsevere burns was 588 CHF (547 EUR) (interquartile range -6 720 - 5 354 CHF) whereas severe burns incurred a large financial loss to care providers, with median earnings of -33 178 CHF (30 856 EUR) (interquartile range -95 533 - 23 662 CHF). Differences were highly significant (p <0.001). Our linear regression model predicting total costs per case with length of stay (LOS) as independent variable had an adjusted R2 of 0.67 (p <0.001 for LOS). CONCLUSIONS: Severe burns are systematically underfunded within the Swiss reimbursement system. Flat-rate DRG-based refunds poorly reflect the actual treatment costs. In conclusion, we suggest a reimbursement model based on a per diem rate for treatment of severe burns.

Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.

PRINCIPLES: Case weights of Diagnosis Related Groups (DRGs) are determined by the average cost of cases from a previous billing period. However, a significant amount of cases are largely over- or underfunded. We therefore decided to analyze earning outliers of our hospital as to search for predictors enabling a better grouping under SwissDRG. METHODS: 28,893 inpatient cases without additional private insurance discharged from our hospital in 2012 were included in our analysis. Outliers were defined by the interquartile range method. Predictors for deficit and profit outliers were determined with logistic regressions. Predictors were shortlisted with the LASSO regularized logistic regression method and compared to results of Random forest analysis. 10 of these parameters were selected for quantile regression analysis as to quantify their impact on earnings. RESULTS: Psychiatric diagnosis and admission as an emergency case were significant predictors for higher deficit with negative regression coefficients for all analyzed quantiles (p<0.001). Admission from an external health care provider was a significant predictor for a higher deficit in all but the 90% quantile (p<0.001 for Q10, Q20, Q50, Q80 and p = 0.0017 for Q90). Burns predicted higher earnings for cases which were favorably remunerated (p<0.001 for the 90% quantile). Osteoporosis predicted a higher deficit in the most underfunded cases, but did not predict differences in earnings for balanced or profitable cases (Q10 and Q20: p<0.00, Q50: p = 0.10, Q80: p = 0.88 and Q90: p = 0.52). ICU stay, mechanical and patient clinical complexity level score (PCCL) predicted higher losses at the 10% quantile but also higher profits at the 90% quantile (p<0.001). CONCLUSION: We suggest considering psychiatric diagnosis, admission as an emergency case and admission from an external health care provider as DRG split criteria as they predict large, consistent and significant losses.

Implementation of a patient blood management monitoring and feedback program significantly reduces transfusions and costs.

BACKGROUND: Patient blood management (PBM) measures have been shown to be effective in reducing transfusions while maintaining patient outcome. The issuance of transfusion guidelines is seen as being key to the success of PBM programs. As the introduction of guidelines alone did not visibly reduce transfusions in our center, a monitoring and feedback program was established. The aim of our study was to show the effectiveness of such measures in reducing transfusions and cost. STUDY DESIGN AND METHODS: We designed a prospective, interventional cohort study with a 3-year time frame (January 1, 2012 to December 31, 2014). In total, 101,794 patients aged 18 years or older were included. The PBM monitoring and feedback program was introduced on January 1, 2014, with the subsequent issuance of quarterly reporting. RESULTS: Within the first year of introduction, transfusion of all allogeneic blood products per 1000 patients was reduced by 27% (red blood cell units, -24%; platelet units, -25%; and fresh-frozen plasma units, -37%; all p < 0.001) leading to direct allogeneic blood product related savings of more than 2 million USD. The number of blood products transfused per case was significantly reduced from 9 ± 19 to 7 ± 14 (p < 0.001). With an odds ratio of 0.86 (95% confidence interval, 0.82-0.91), the introduction of our PBM monitoring and feedback program was a significant independent factor in the reduction of transfusion probability (p < 0.001). CONCLUSION: Our PBM monitoring and feedback program was highly efficacious in reducing the transfusion of allogeneic blood products and transfusion-related costs.