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Clinical Assessment of Individualized Glycemic Goals in Patients With Type 2 Diabetes: Formulation of an Algorithm Based on a Survey Among Leading Worldwide Diabetologists

OBJECTIVE: Observations over the past few years have demonstrated the need to adjust glycemic targets based on parameters pertaining to individual patient characteristics and comorbidities. However, the weight and value given to each parameter will clearly vary depending on the experience of the pro...

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Detalles Bibliográficos
Autores principales: Cahn, Avivit, Raz, Itamar, Kleinman, Yosef, Balicer, Ran, Hoshen, Moshe, Lieberman, Nicky, Brenig, Naomi, Del Prato, Stefano, Cefalu, William T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657613/
https://www.ncbi.nlm.nih.gov/pubmed/26519337
http://dx.doi.org/10.2337/dc15-0187
Descripción
Sumario:OBJECTIVE: Observations over the past few years have demonstrated the need to adjust glycemic targets based on parameters pertaining to individual patient characteristics and comorbidities. However, the weight and value given to each parameter will clearly vary depending on the experience of the provider, the characteristics of the patient, and the specific clinical situation. RESEARCH DESIGN AND METHODS: To determine if there is current consensus on a global level with regard to identifying these parameters and their relative importance, we conducted a survey among 244 key worldwide opinion-leading diabetologists. Initially, the physicians were to rank the factors they take into consideration when setting their patients' glycemic target according to their relative importance. Subsequently, six clinical vignettes were presented, and the experts were requested to suggest an appropriate glycemic target. The survey results were used to formulate an algorithm according to which an estimate of the patient's glycemic target based on individualized parameters can be computed. Three additional clinical cases were submitted to a new set of experts for validation of the algorithm. RESULTS: A total of 151 (61.9%) experts responded to the survey. The parameters “life expectancy” and “risk of hypoglycemia from treatment” were considered to be the most important. “Resources” and “disease duration” ranked the lowest. An algorithm was constructed based on survey results. It was validated by presenting three new cases to 57 leading diabetologists who suggested glycemic targets that were similar to those calculated by the algorithm. CONCLUSIONS: The resultant suggested algorithm is an additional decision-making tool offered to the clinician to supplement clinical decision making when considering a glycemic target for the individual patient with diabetes.