Abstract The demand for oral anticoagulant therapy (OAT) has constantly increased during the last ten years with an extended use of computer assistance. Many mathematical algorithms have been projected to suggest doses and time to next visit for patients on OAT. We designed a new algorithm: “Zeus”. A “before-after” study was planned to compare the efficacy and safety of this algorithm dosing OAT with manual dosage decided by the same expert physicians according to the target of International Normalized Ratio (INR). The study analysed data of 1876 patients managed with each of the two modalities for eight months, with an interval of two years between them. The aim was to verify the increased quality of therapy by time spent in INR target and efficiency and safety of Zeus algorithm. Time in therapeutic range (TTR) was significantly (p<0.0001) higher during the algorithm dosing period in comparison with the TTR during manual management period (62.3% vs 50.3%). The number of PT/INR tests above 5 was significantly (p<0.001) reduced by algorithm suggested prescriptions in comparison with manual those (254 vs 537 times). The anticoagulant drug amount prescribed according to the algorithm suggestions was significantly (p<0.0001) lower than that of the manual method. The number of clinical events observed in patients during the algorithm management time was significantly (p<0.05) lower than that in those managed with the manual dosage. This study confirms the clinical utility of the computer-assisted OAT and shows the efficacy and safety of the Zeus algorithm.

"Zeus" a new oral anticoagulant therapy dosing algorithm: A cohort study / Cafolla, Arturo; Melizzi, R.; Baldacci, E.; Pignoloni, P.; Dragoni, F.; Campanelli, M.; Caraccini, R.; Foa, Roberto. - In: THROMBOSIS RESEARCH. - ISSN 0049-3848. - STAMPA. - 128:(2011), pp. 325-330. [10.1016/j.thromres.2011.04.012]

"Zeus" a new oral anticoagulant therapy dosing algorithm: A cohort study.

CAFOLLA, Arturo;FOA, Roberto
2011

Abstract

Abstract The demand for oral anticoagulant therapy (OAT) has constantly increased during the last ten years with an extended use of computer assistance. Many mathematical algorithms have been projected to suggest doses and time to next visit for patients on OAT. We designed a new algorithm: “Zeus”. A “before-after” study was planned to compare the efficacy and safety of this algorithm dosing OAT with manual dosage decided by the same expert physicians according to the target of International Normalized Ratio (INR). The study analysed data of 1876 patients managed with each of the two modalities for eight months, with an interval of two years between them. The aim was to verify the increased quality of therapy by time spent in INR target and efficiency and safety of Zeus algorithm. Time in therapeutic range (TTR) was significantly (p<0.0001) higher during the algorithm dosing period in comparison with the TTR during manual management period (62.3% vs 50.3%). The number of PT/INR tests above 5 was significantly (p<0.001) reduced by algorithm suggested prescriptions in comparison with manual those (254 vs 537 times). The anticoagulant drug amount prescribed according to the algorithm suggestions was significantly (p<0.0001) lower than that of the manual method. The number of clinical events observed in patients during the algorithm management time was significantly (p<0.05) lower than that in those managed with the manual dosage. This study confirms the clinical utility of the computer-assisted OAT and shows the efficacy and safety of the Zeus algorithm.
2011
Oral anticoagulant therapy; Computer assistance
01 Pubblicazione su rivista::01a Articolo in rivista
"Zeus" a new oral anticoagulant therapy dosing algorithm: A cohort study / Cafolla, Arturo; Melizzi, R.; Baldacci, E.; Pignoloni, P.; Dragoni, F.; Campanelli, M.; Caraccini, R.; Foa, Roberto. - In: THROMBOSIS RESEARCH. - ISSN 0049-3848. - STAMPA. - 128:(2011), pp. 325-330. [10.1016/j.thromres.2011.04.012]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/417709
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