RESUMO
To evaluate the cost-saving of a specialized, eHealth-based management service (CS) in comparison to regular medical care (RMC) for the management of patients receiving oral anticoagulation (OAC) therapy. Costs of hospitalization were derived via diagnosis-related groups which comprise diagnoses (ICD-10) and operation and procedure classification system (OPS), which resulted in OAC-related (i.e. bleeding/ thromboembolic events) and non-OAC-related costs for both cohorts. Cost for anticoagulation management comprised INR-testing, personnel, and technical support. In total, 705 patients were managed by CS and 1490 patients received RMC. The number of hospital stays was significantly lower in the CS cohort compared to RMC (CS: 23.4/100 py; RMC: 68.7/100 py); with the most pronounced difference in OAC-related admissions (CS: 2.8/100 py; RMC: 13.3/100 py). Total costs for anticoagulation management amounted to 101 EUR/py in RMC and 311 EUR/py in CS, whereas hospitalization costs were 3261 [IQR 2857-3689] EUR/py in RMC and 683 [504-874] EUR/py in CS. This resulted in an overall cost saving 2368 EUR/py favoring the CS. The lower frequency of adverse events in anticoagulated patients managed by the telemedicine-based CS compared to RMC translated into a substantial cost-saving, despite higher costs for the specialized management of patients.Trial registration: ClinicalTrials.gov, unique identifier NCT01809015, March 8, 2013.
RESUMO
BACKGROUND: Severity of coronary artery disease (CAD) is related to cardiovascular outcome. We aimed to assess the long-term follow-up depending on Synergy between percutaneous coronary intervention with Taxus and cardiac surgery (SYNTAX) and Gensini score for prognosis. Both scores increase with complexity and thus reflect risk of cardiovascular events. METHODS AND RESULTS: We determined complexity and extent of CAD by the SYNTAX and Gensini score in the AtheroGene cohort (N = 1,974, with 22.6 % women). The endpoint was non-fatal myocardial infarction (N = 132) and cardiovascular death (N = 159) over a median follow-up of 5.4 (Q1: 5.23/Q3: 5.57) years up to 8 years maximum (follow-up rate 99.4%). For SYNTAX score, the following distribution was used: low (≤22, N = 1,404), medium (23-32, N = 314), high score (>32, N = 256). Gensini score was split into thirds. Cox regression analysis showed a hazard ratio (HR) of 1.5 (95% confidence interval 1.16-1.95; p = 0.0024) for the log transformed SYNTAX score in a fully adjusted model and a HR of 1.41 (95% CI 1.13-1.77; p = 0.0025) for the Gensini score. The SYNTAX score alone had a C-index of 0.62, whereas adding clinical variables increased the C-index to 0.67. Similar results were obtained for the Gensini score. Regarding the SYNTAX score using net reclassification index, discrimination of events and non-events was enhanced by 37.2% in a model of clinical variables and biomarkers and by 31.8% for the Gensini score. CONCLUSION: The SYNTAX and Gensini score in combination with clinical variables could be used to predict the cardiovascular prognosis during a long-term follow-up of up to 8 years in CAD patients.