OBJECTIVE: In type 2 diabetes, therapies to maintain blood glucose control usually fail after several years. We estimated the glycemic burden that accumulates from treatment failure and describe the time course and predictors of failure. RESEARCH DESIGN AND METHODS: A prospective, population-based study using retrospective observational data. We identified all 7208 complete courses of treatment with nondrug therapy, sulfonylurea monotherapy, metformin monotherapy, and combination oral antihyperglycemic therapy between 1994 and 2002, inclusive, among members of the Kaiser Permanente Northwest Region. We calculated mean cumulative glycemic burden, defined as HbA(1c)-months >8.0 or 7.0% for each treatment. We then measured the likelihood that the next HbA(1c) would exceed 8.0 and 7.0% after HbA(1c) exceeded each of ten hypothetical treatment thresholds. Finally, we estimated multivariate logistic regression models to predict when HbA(1c) would continue to deteriorate. RESULTS: In this well-controlled population, the average patient accumulated nearly 5 HbA(1c)-years of excess glycemic burden >8.0% from diagnosis until starting insulin and about 10 HbA(1c)-years of burden >7.0%. Whenever patients crossed the American Diabetes Association-recommended treatment threshold of 8.0%, their next HbA(1c) result was as likely to be <8.0 as >8.0%. Multivariate prediction models had highly statistically significant coefficients, but predicted <10% of the variation in future HbA(1c) results. CONCLUSIONS: Clinicians should change glucose-lowering treatments in type 2 diabetes much sooner or use treatments that are less likely to fail. An action point at 7.0% or lower is more likely to prevent additional deterioration than the traditional action point of 8.0%.
OBJECTIVE: In type 2 diabetes, therapies to maintain blood glucose control usually fail after several years. We estimated the glycemic burden that accumulates from treatment failure and describe the time course and predictors of failure. RESEARCH DESIGN AND METHODS: A prospective, population-based study using retrospective observational data. We identified all 7208 complete courses of treatment with nondrug therapy, sulfonylurea monotherapy, metformin monotherapy, and combination oral antihyperglycemic therapy between 1994 and 2002, inclusive, among members of the Kaiser Permanente Northwest Region. We calculated mean cumulative glycemic burden, defined as HbA(1c)-months >8.0 or 7.0% for each treatment. We then measured the likelihood that the next HbA(1c) would exceed 8.0 and 7.0% after HbA(1c) exceeded each of ten hypothetical treatment thresholds. Finally, we estimated multivariate logistic regression models to predict when HbA(1c) would continue to deteriorate. RESULTS: In this well-controlled population, the average patient accumulated nearly 5 HbA(1c)-years of excess glycemic burden >8.0% from diagnosis until starting insulin and about 10 HbA(1c)-years of burden >7.0%. Whenever patients crossed the American Diabetes Association-recommended treatment threshold of 8.0%, their next HbA(1c) result was as likely to be <8.0 as >8.0%. Multivariate prediction models had highly statistically significant coefficients, but predicted <10% of the variation in future HbA(1c) results. CONCLUSIONS: Clinicians should change glucose-lowering treatments in type 2 diabetes much sooner or use treatments that are less likely to fail. An action point at 7.0% or lower is more likely to prevent additional deterioration than the traditional action point of 8.0%.
Authors: Mohammed K Ali; Kavita Singh; Dimple Kondal; Raji Devarajan; Shivani A Patel; Roopa Shivashankar; Vamadevan S Ajay; A G Unnikrishnan; V Usha Menon; Premlata K Varthakavi; Vijay Viswanathan; Mala Dharmalingam; Ganapati Bantwal; Rakesh Kumar Sahay; Muhammad Qamar Masood; Rajesh Khadgawat; Ankush Desai; Bipin Sethi; Dorairaj Prabhakaran; K M Venkat Narayan; Nikhil Tandon Journal: Ann Intern Med Date: 2016-07-12 Impact factor: 25.391
Authors: Jeffrey F Scherrer; Joanne Salas; James S Floyd; Susan A Farr; John E Morley; Sascha Dublin Journal: Mayo Clin Proc Date: 2019-08 Impact factor: 7.616
Authors: John B Buse; Daniel J Drucker; Kristin L Taylor; Terri Kim; Brandon Walsh; Hao Hu; Ken Wilhelm; Michael Trautmann; Larry Z Shen; Lisa E Porter Journal: Diabetes Care Date: 2010-03-09 Impact factor: 19.112