Suzanne V Arnold1, Darren K McGuire2, Silvio E Inzucchi3, Fengming Tang4, Sanjeev N Mehta5, Carolyn S P Lam6, Abhinav Goyal7, Laurence S Sperling7, Nathan D Wong8, Niklas Hammar9, Peter Fenici10, Mikhail Kosiborod4. 1. Saint Luke's Mid America Heart Institute, Kansas, MO, United States of America; University of Missouri-Kansas City, Kansas, MO, United States of America. Electronic address: sarnold@saint-lukes.org. 2. University of Texas Southwestern Medical Center, Dallas, TX, United States of America. 3. Yale School of Medicine, New Haven, CT, United States of America. 4. Saint Luke's Mid America Heart Institute, Kansas, MO, United States of America; University of Missouri-Kansas City, Kansas, MO, United States of America. 5. Joslin Diabetes Center, Boston, MA, United States of America. 6. Duke-NUS Medical School, Singapore; National Heart Centre Singapore, Singapore. 7. Emory University School of Medicine, Atlanta, GA, United States of America. 8. University of California, Irvine, School of Medicine, Irvine, CA, United States of America. 9. AstraZeneca, Mölndal, Sweden; Karolinska Institutet, Stockholm, Sweden. 10. AstraZeneca, Cambridge, UK.
Abstract
BACKGROUND: Although practice guidelines stress individualization of glucose management in patients with type 2 diabetes (T2D), the extent to which providers take patient factors into account when selecting medications is not well known. METHODS: Diabetes Collaborative Registry (DCR) is an outpatient diabetes registry including primary care, cardiology, and endocrinology practices. T2D medications were grouped as those which may be suboptimal for key patient subgroups, and we examined patient factors associated with use of these agents using hierarchical, multivariable Poisson models. RESULTS: In DCR, 157,551 patients from 374 US practices were prescribed a glucose-lowering medication. Patients with morbid obesity were more likely treated with medications prone to cause weight gain (relative rate [RR] 1.09, 95% CI 1.07-1.11). Older patients were more likely to be treated with medications with increased risk of hypoglycemia (RR 1.04 per 5 years, 95% CI 1.04-1.05). Patients with CKD 4/5 were less likely to be treated with agents with known risk in patients with advanced CKD (RR 0.74, 95% CI 0.71-0.77). Patients with coronary artery disease were no more or less likely to be treated with medications with potential cardiovascular safety issues (RR 0.99, 95% CI 0.96-1.01). CONCLUSIONS: We observed some targeted use of glucose-lowering therapies in certain subgroups but also identified potential opportunities for better personalization of treatment. Data sources such as the DCR can highlight potential areas for improving targeted approaches to pharmacologic therapy in order to optimize selection of patients most likely to benefit (and least likely to be harmed) from treatments.
BACKGROUND: Although practice guidelines stress individualization of glucose management in patients with type 2 diabetes (T2D), the extent to which providers take patient factors into account when selecting medications is not well known. METHODS:Diabetes Collaborative Registry (DCR) is an outpatientdiabetes registry including primary care, cardiology, and endocrinology practices. T2D medications were grouped as those which may be suboptimal for key patient subgroups, and we examined patient factors associated with use of these agents using hierarchical, multivariable Poisson models. RESULTS: In DCR, 157,551 patients from 374 US practices were prescribed a glucose-lowering medication. Patients with morbid obesity were more likely treated with medications prone to cause weight gain (relative rate [RR] 1.09, 95% CI 1.07-1.11). Older patients were more likely to be treated with medications with increased risk of hypoglycemia (RR 1.04 per 5 years, 95% CI 1.04-1.05). Patients with CKD 4/5 were less likely to be treated with agents with known risk in patients with advanced CKD (RR 0.74, 95% CI 0.71-0.77). Patients with coronary artery disease were no more or less likely to be treated with medications with potential cardiovascular safety issues (RR 0.99, 95% CI 0.96-1.01). CONCLUSIONS: We observed some targeted use of glucose-lowering therapies in certain subgroups but also identified potential opportunities for better personalization of treatment. Data sources such as the DCR can highlight potential areas for improving targeted approaches to pharmacologic therapy in order to optimize selection of patients most likely to benefit (and least likely to be harmed) from treatments.
Authors: Olga Vaccaro; Maria Masulli; Antonio Nicolucci; Enzo Bonora; Stefano Del Prato; Aldo P Maggioni; Angela A Rivellese; Sebastiano Squatrito; Carlo B Giorda; Giorgio Sesti; Paolo Mocarelli; Giuseppe Lucisano; Michele Sacco; Stefano Signorini; Fabrizio Cappellini; Gabriele Perriello; Anna Carla Babini; Annunziata Lapolla; Giovanna Gregori; Carla Giordano; Laura Corsi; Raffaella Buzzetti; Gennaro Clemente; Graziano Di Cianni; Rossella Iannarelli; Renzo Cordera; Olga La Macchia; Chiara Zamboni; Cristiana Scaranna; Massimo Boemi; Ciro Iovine; Davide Lauro; Sergio Leotta; Elisabetta Dall'Aglio; Emanuela Cannarsa; Laura Tonutti; Giuseppe Pugliese; Antonio C Bossi; Roberto Anichini; Francesco Dotta; Antonino Di Benedetto; Giuseppe Citro; Daniela Antenucci; Lucia Ricci; Francesco Giorgino; Costanza Santini; Agostino Gnasso; Salvatore De Cosmo; Donatella Zavaroni; Monica Vedovato; Agostino Consoli; Maria Calabrese; Paolo di Bartolo; Paolo Fornengo; Gabriele Riccardi Journal: Lancet Diabetes Endocrinol Date: 2017-09-13 Impact factor: 32.069
Authors: Bruce Neal; Vlado Perkovic; Kenneth W Mahaffey; Dick de Zeeuw; Greg Fulcher; Ngozi Erondu; Wayne Shaw; Gordon Law; Mehul Desai; David R Matthews Journal: N Engl J Med Date: 2017-06-12 Impact factor: 91.245
Authors: Scot H Simpson; Jayson Lee; Sabina Choi; Ben Vandermeer; Ahmed S Abdelmoneim; Travis R Featherstone Journal: Lancet Diabetes Endocrinol Date: 2014-10-22 Impact factor: 32.069
Authors: Suzanne V Arnold; Darren K McGuire; John A Spertus; Fengming Tang; Patrick Yue; Silvio E Inzucchi; Luiz Belardinelli; Bernard R Chaitman; Mikhail Kosiborod Journal: Am Heart J Date: 2015-07-26 Impact factor: 4.749
Authors: Walter N Kernan; Catherine M Viscoli; Karen L Furie; Lawrence H Young; Silvio E Inzucchi; Mark Gorman; Peter D Guarino; Anne M Lovejoy; Peter N Peduzzi; Robin Conwit; Lawrence M Brass; Gregory G Schwartz; Harold P Adams; Leo Berger; Antonio Carolei; Wayne Clark; Bruce Coull; Gary A Ford; Dawn Kleindorfer; John R O'Leary; Mark W Parsons; Peter Ringleb; Souvik Sen; J David Spence; David Tanne; David Wang; Toni R Winder Journal: N Engl J Med Date: 2016-02-17 Impact factor: 91.245
Authors: Mikhail Kosiborod; Matthew A Cavender; Alex Z Fu; John P Wilding; Kamlesh Khunti; Reinhard W Holl; Anna Norhammar; Kåre I Birkeland; Marit Eika Jørgensen; Marcus Thuresson; Niki Arya; Johan Bodegård; Niklas Hammar; Peter Fenici Journal: Circulation Date: 2017-05-18 Impact factor: 29.690