Guest guest Posted June 17, 2006 Report Share Posted June 17, 2006 Colleagues, the following is FYI and does not necessarily reflect my own opinion. I have no further knowledge of the topic. If you do not wish to receive these posts, set your email filter to filter out any messages coming from @nutritionucanlivewith.com and the program will remove anything coming from me. --------------------------------------------------------- Glycemic Relapse in Type 2 Diabetes http://www.medscape.com/viewarticle/533358 Alan L. Graber, MD, FACE, FACP; Ayumi K. Shintani, PhD, MPH; Kathleen Wolff, RN, MSN; Anne Brown, RN, MSN; Tom A. Elasy, MD, MPH Endocr Pract. 2006;12(2):145-151. ©2006 American Association of Clinical Endocrinologists Posted 06/05/2006 Abstract and Introduction Abstract Objective: To characterize the occurrence of glycemic relapse after initial improvement in blood glucose levels and to describe predictors of relapse in patients with type 2 diabetes. Methods: Occurrence of glycemic relapse was analyzed in 393 consecutive patients with type 2 diabetes after participation in a 3-month intensive outpatient intervention. All patients had hemoglobin A1c (A1C) values ≥7% before the intervention and had achieved adequate glycemic control (nadir A1C <7%) afterward. The median follow-up time was 26.5 months. Relapse was defined as a subsequent increase in A1C to ≥7%. Results: The probability of glycemic relapse was 45% at 1 year after the intervention and was 76% at 3 years. The median time to relapse was 15.2 months. multivariate regression analysis indicated that treatment with insulin was associated with a greater risk of relapse— hazard ratio = 1.5 (95% confidence interval, 1.1 to 2.2), after controlling for the patient's age, sex, race, body mass index, duration of diabetes, weight change during the intervention, and nadir A1C value. Among those patients not treated with insulin at the end of the intervention, a shorter duration of diabetes and weight loss during the intervention period were significantly associated with decreased risk of relapse. Conclusion: The majority of study patients with type 2 diabetes who attained satisfactory glycemic control after intensive outpatient intervention had a relapse after the end of the intervention period. Patients receiving insulin therapy were at particular risk of glycemic relapse. Therefore, such patients should receive high priority for continuation of intensive care or for other relapse prevention measures. Introduction Relapse is defined as " a recurrence of symptoms of a disease after a period of improvement " .[1] Relapse in diabetes may be defined as the deterioration of glycemic control after a period of improvement. Although relapse has seldom been studied in the clinical setting of diabetes mellitus, prevention of relapse has been the focus of intensive studies concerned with addictive behaviors and with depression.[2,3] Many studies have demonstrated that intensive management programs improve the outcomes of patients with diabetes. Nevertheless, prolonged maintenance of adequate glycemic control for a several-year period has seldom been demonstrated, except in volunteers in resource-rich clinical trials such as the Diabetes Control and Complications Trial,[4] the United Kingdom Prospective Diabetes Study,[5] and the Kumamoto Study.[6] As an alternative to the long-term continuous intensive care used in such clinical trials, we have examined the effects of a 3-month intensive outpatient intervention in type 2 diabetes, without the program assuming subsequent long-term management. After the intervention had achieved satisfactory levels of glycemic control, subsequent surveillance determined the incidence of relapse. The purposes of this report were to describe the incidence and time course of glycemic relapse and to determine which variables might identify those patients who are most likely to have a relapse. Subjects and Methods Research Design and Definition of Terms Adult patients with type 2 diabetes mellitus were referred by their primary care physicians or by a consulting endocrinologist to a 12-week outpatient intervention of intensive diabetes care at an academic medical center. Patients were referred because of lack of knowledge of diabetes self-management skills, inadequate self-management practices, hyperglycemia refractory to efforts by their primary care physicians, recurrent or severe hypoglycemia, or the need to initiate insulin or insulin pump therapy. The subjects in this report were 393 consecutive patients with type 2 diabetes who had completed the intervention by December 31, 2002, and had achieved a nadir hemoglobin A1c (A1C) of <7% after completion of the intervention. All study patients had A1C values ≥7% at entry, a level at which the American Diabetes Association suggests additional action.[7] Patients who had not achieved a nadir A1C of <7% at completion of the intervention were excluded from this study. Nadir A1C was defined as the lowest A1C level achieved within 6 months after completion of the intervention. A1C was determined at program entry, at completion of the intervention, and approximately every 6 months after the intervention. Glycemic relapse was defined as an increase of A1C to ≥7% after the nadir had been reached. A1C was measured by high-performance liquid chromatography, with a normal range of 4.0% to 6.1%, in conformity with the National Glycohemoglobin Standardization Program. The program was approved by the Institutional Review Board of Vanderbilt University Medical Center. Intervention Program Each patient participated in a 12-week intensive out-patient program, consisting of instruction and support in diabetes self-management coupled with adjustment of insulin and orally administered hypoglycemic medications. The details of the intervention program have been described previously.[8-10] At least weekly contact occurred between the patient and an advanced practice diabetes nurse specialist or a dietitian to recommend changes in insulin dose or other diabetes medications (or both). The weekly contact consisted of a clinic visit, a telephone call, or an exchange of electronic mail (e-mail) or faxed messages regarding home blood glucose results. Protocols for use of insulin and oral medications were developed and supervised by an endocrinologist (A.L.G.) and were similar to previously published recommendations.[11] When glycemic control was not achieved with lifestyle adjustments and oral hypoglycemic drug therapy, insulin treatment was begun, usually with a bedtime dose of intermediate- or long-acting insulin. The usual starting dose was approximately 0.3 U/kg, and the dosage was adjusted until the glycemic target (fasting plasma glucose level ≤125 mg/dL) was attained. Subsequently, if post-meal hyperglycemia persisted, a rapid-acting insulin analogue, lispro or aspart before meals, was added in patients willing to intensify therapy and capable of doing so. The starting meal dose was either 0.1 U/kg or based on the carbohydrate content of the meal. When insulin therapy was initiated, oral administration of hypoglycemic drugs was usually continued. Every effort was made to empower patients to self-adjust their insulin dose on the basis of results of capillary blood glucose monitoring.[12] After completion of the program, patients returned to the usual customary care provided by their primary care physician or endocrinologist. Statistical Analysis Data for characteristics of patients were presented as mean values and SD for normally distributed continuous variables and as median values and interquartile range (IQR) for nonnormally distributed continuous variables. For categorical variables, frequencies and percentages were used. Wilcoxon rank sum tests were used to compare distributions of continuous variables, and chi-square tests were used to compare the proportions of categorical variables between insulin-treated and non-insulin-treated patients. All patients underwent follow-up for 3 years from the nadir A1C value or until the time of last clinic visit within the 3-year follow-up period. For all analyses, the primary outcome variable was the time (months from the nadir A1C) to the first event of glycemic relapse. Patients were censored (removed from the analysis) at the last clinic visit or at the end of the follow-up period. Kaplan-Meier curves were used to present the probability of a relapse-free condition over time, and the log-rank test was used to assess univariate association between a risk factor and the outcome variable. proportional hazards regression models were used for multivariate analysis, and proportionality of the hazard was assessed graphically. All analyses were conducted among all 393 patients and were also stratified by use of insulin at the end of the intervention. Risk factors used in the analysis included patient's age, sex, race, body mass index (BMI), duration of diabetes in years, history of hypoglycemia before the intervention, area of residence (Nashville or outside Nashville), A1C value at the nadir, weight change during the intervention, and insurance status. Patient's age, sex, and race were chosen a priori to be included in the multivariate models, and BMI, duration of diabetes, insulin use at the end of the intervention, weight change during the intervention, and the nadir A1C value were chosen to be in the multivariate models because their P value was less than 0.2 in the univariate analysis of the entire study cohort. All continuous variables were assessed by using nonlinear splines in the regression as well as categorization with clinically meaningful cutoff values.[13] During the follow-up period, the frequency of A1C measurements varied among patients. Therefore, the results from the time to event analysis could be confounded by the monitoring bias. For example, time to relapse could be interpreted as shorter if a patient were monitored more frequently. Therefore, we assessed frequencies of A1C measurements by the baseline risk factors referred to in the aforementioned analysis with use of Poisson regression. For all analyses, a 2-sided significance level of 5% was used for statistical inferences, and SAS version 8.2 and SPSS version 12.0 were used. Results Patient Characteristics The mean ± SD age was 54.8 ± 12.8 years. Of the overall study group of 393 patients, 50% were female, and 25% were African American. The median duration of diabetes (and IQR) was 1.1 (0.1, 5.7) years. Before intervention, the mean BMI was 35.0 ± 8.2 kg/m2, and the mean A1C was 9.3 ± 1.9%. After intervention, the mean A1C at nadir was 6.3 ± 0.5%. The median (IQR) follow-up time was 26.5 (16.9, 36.0) months. Twenty-three percent of patients (N = 90) were receiving insulin therapy before intervention, 13% (N = 52) initiated insulin treatment during the intervention, and 4% (N = 16) discontinued the use of insulin during the intervention; thus, 32% (126 patients) were receiving insulin treatment at the conclusion of the intervention. For those patients taking insulin at the end of the intervention, the mean total daily insulin dose was 0.58 U/kg. Patient characteristics were similar between those receiving and those not receiving insulin at the end of the intervention, except for duration of diabetes and weight change during the intervention. The median duration of diabetes (and IQR) was 0.3 (0.1, 3.6) year for patients not receiving insulin at the end of the intervention and was 5.3 (1.9, 10.0) years for those receiving insulin. The mean weight change during the intervention period was a reduction of 4.8 ± 8.1 pounds for patients not receiving insulin and a gain of 2.4 ± 11.2 pounds for patients receiving insulin at the end of the intervention ( Table 1 ). Glycemic Relapse The probabilities of glycemic relapse were 45% and 76% at 1 and 3 years, respectively, and the median time to relapse (and IQR) was 15.2 (5.3, 35.7) months. The incidence rate of relapse was 0.52 per person-year. Multivariate regression analysis indicated that treatment with insulin was associated with a greater risk of relapse—hazard ratio (HR) = 1.5 (95% confidence interval [CI], 1.1 to 2.2), after controlling for the patient's age, sex, race, BMI, duration of diabetes, weight change during the intervention period, and nadir A1C value. For the patients who were not receiving insulin therapy at the end of the intervention, the probabilities of glycemic relapse were 38% and 70% at 1 and 3 years, respectively, and the median time to relapse (and IQR) was 19.9 (6.2, upper extent of IQR not available [NA]) months. The incidence rate of relapse was 0.42 per person-year for this subgroup. For the patients who were receiving insulin therapy at the end of the intervention, the probabilities of glycemic relapse were 56% and 86% at 1 and 3 years, respectively, and the median time to relapse (and IQR) was 7.7 (3.4, 20.3) months. In this subgroup, the incidence rate of relapse was 0.84 per person-year (Fig. 1). Among those patients not treated with insulin at the end of the intervention, longer duration of diabetes was associated with increasing risk of glycemic relapse. The adjusted HR was 2.0 (95% CI, 1.2 to 3.2) for longer than 5 years' duration versus less than 1 year, and it was 1.6 (95% CI, 1.0 to 2.5) for a duration of diabetes of 1 to 5 years versus less than 1 year. The median time to relapse (and IQR) was 30.4 (11.7, NA) months for less than 1-year duration of diabetes, 12.9 (6.0, NA) months for 1 to 5 years, and 9.0 (4.1, 21.0) months for longer than 5 years' duration (Fig. 2). No significant association was observed between the duration of diabetes and the risk of glycemic relapse among patients receiving insulin at the end of the intervention. Weight loss during the intervention period was associated with decreased risk of glycemic relapse among patients not treated with insulin. The adjusted HR was 0.6 (95% CI, 0.3 to 1.0) for losing 10 pounds or more versus weight gain and was 0.6 (95% CI, 0.4 to 0.9) for losing up to 10 pounds versus weight gain. The median time to relapse (and IQR) was 13.2 (6.2, 31.4) months for those with weight gain, 21.0 (7.2, NA) months for those with 0 to 10 pounds of weight loss, and 23.7 (11.5, NA) months for those with 10 pounds or more of weight loss (Fig. 3). No significant association was observed between the weight change during the intervention and the risk of glycemic relapse among patients receiving insulin at the end of the intervention. Analysis of the frequency of A1C measurements indicated that none of the risk factors considered in the multivariate regression analysis was associated with frequency of A1C measurements. Discussion Our data demonstrate that most study patients had a glycemic relapse after the intensive outpatient intervention, when they returned to their previous customary care. This study extends our preliminary analysis[14] by including a larger cohort of patients, a longer follow-up period, and different criteria for relapse, which corresponded to the lower glycemic targets that have been adopted by the American Diabetes Association.[7] We were concerned that establishing these criteria for relapse could include patients whose A1C increased only slightly from nadir to ≥7%, but when we analyzed the data using criteria that defined glycemic relapse as both A1C ≥7% and an increase from nadir by at least 1%, the results were similar. In this cohort, insulin therapy identified a group of patients at particularly high risk for relapse. The difference in probability of relapse between the 2 groups (use of insulin versus no insulin) is evident within the first year (Fig. 1 . The patients requiring insulin had a much longer duration of diabetes (median of 5.3 years for insulin users versus 0.3 year for nonusers) ( Table 1 ). Therefore, the nonusers of insulin were largely a group of patients who had been referred to the interventional program shortly after the diagnosis of diabetes. In these patients not using insulin, the observed significant association between the duration of diabetes and the risk of glycemic relapse suggests a process that worsens with progressive duration. In the group of patients requiring insulin therapy, we no longer observed a duration-associated difference in median time to relapse (Fig. 2). When glycemic control improves, patients with diabetes have a well-known tendency for weight gain.[11] In our patients not receiving insulin, the median time to glycemic relapse was shorter in those patients who gained weight during the intervention and was longer in those who lost weight during this period (Fig. 3). This finding indicates a need for concomitant intensive medical nutrition therapy to accompany any regimen that improves glycemic control in type 2 diabetes. Patient acquisition of adequate skills in the long-term management of insulin therapy may necessitate more than a 12-week period of intensive contact with providers. It is possible that a more intensive insulin regimen, with use of higher doses of insulin and resulting in lower nadir A1C values, or a longer period of intensive intervention may have decreased the incidence of relapse in this cohort of patients. Several published studies have suggested that maintenance of intensive care is necessary to prevent glycemic relapse in patients with type 1 diabetes.[15-20] In contrast, no previous studies have systematically addressed the incidence and causes of glycemic relapse in type 2 diabetes. Unlike type 1 diabetes, variation in glycemic control in insulin-using adults with type 2 diabetes has not been readily explained by personal characteristics, demographics, family system variables, or psychosocial characteristics.[21,22] Glycemic deterioration in type 2 diabetes is at least partly attributed to progressive decline in beta cell function. The United Kingdom Prospective Diabetes Study[5] and the Belfast Diet Study[23] established that ongoing beta cell deterioration led to progressive deterioration of diabetes control. A recent British study demonstrated that progressive deterioration in A1C, observed during metformin monotherapy, resumed within 6 months after a sulfonylurea drug was added to the therapeutic regimen.[24] Because type 2 diabetes is a disease of progressive severity, delayed or insufficient intensification of pharmacologic management is a frequent component underlying failure to achieve glycemic goals.[25] The high incidence of relapse in the current study indicates that patients with type 2 diabetes receiving insulin therapy should receive higher priority than non-insulin-treated patients for continuation of intensive management or for inclusion in a relapse prevention program. Social-learning theory suggests that behavioral relapse in patients with diabetes is similar to relapse in those with alcoholism, smoking, and obesity and is determined by an interaction of environmental, physiologic, cognitive, and affective variables. The relapse prevention model suggests that relapse can be avoided by self-management training that includes identification of high-risk situations, training in problem-solving strategies, and development of cognitive coping techniques.[2] This study has important limitations. It is possible that the relatively high incidence of relapse in our patients is related to bias influenced by the method of referral, inasmuch as a large proportion of the insulin-treated patients had proved to be refractory to care provided by their primary care physicians before referral. In addition, several potential predictors of relapse, including C-peptide levels, antibodies to islet cells, frequency of glucose monitoring, physical activity, adherence to diet, family support, knowledge, attitudes, and other psychosocial and socioeconomic variables, were not systematically measured in this study. Further investigations are needed to clarify the relative contributions of these variables. Table 1. Characteristics of Study Patients With Type 2 Diabetes, Shown as Overall Group and Stratified by Use of Insulin* Factor All patients (N = 393 Using insulin at end of intervention (N = 126) Not using insulin at end of intervention (N = 267) P value†comparing use and no use of insulin Age (yr), mean ± SD 54.8 ± 12.8 53.7 ± 11.6 55.3 ± 13.3 0.18 Sex 0.86 Male, % (no.) 50 (197) 51 (64) 50 (133) Female, % (no.) 50 (196) 49 (62) 50 (134) Race 0.66 Black, % 25 24 26 Nonblack, % 75 76 74 Body mass index before intervention (kg/m2), mean ± SD 35.0 ± 8.2 35.7 ± 8.5 34.6 ± 8.0 0.21 Duration of diabetes (yr), median (IQR) 1.1 (0.1, 5.7) 5.3 (1.9, 10.0) 0.3 (0.1, 3.6) <0.001 Weight change during intervention (lb), mean ± SD -2.4 ± 9.9 +2.4 ± 11.2 -4.8 ± 8.1 <0.001 History of hypoglycemia before intervention 0.18 Yes, % (no.) 6 (14) 9 (7) 5 (7) No, % (no.) 94 (215) 91 (70) 95 (145) A1C at nadir (%), mean ± SD 6.3 ± 0.5 6.4 ± 0.5 6.3 ± 0.5 0.02 Residence 0.06 Nashville, % (no.) 39 (154) 33 (41) 43 (113) Non-Nashville, % (no.) 61 (236) 67 (84) 57 (152) *A1C = hemoglobin A1c; IQR = interquartile range. †P values were obtained with use of Wilcoxon rank sum tests or chi-square tests. References 1. Merriam-Webster's Collegiate Dictionary. 11th ed. Springfield, MA: Merriam-Webster, Incorporated, 2004: 1050. 2. Marlatt GA, Gordon JR, eds. Relapse Prevention: Maintenance Strategies in the Treatment of Addictive Behaviors. New York, NY: Guilford Press, 1985. 3. Sackeim HA, Haskett RF, Mulsant BH, et al. Continuation pharmacotherapy in the prevention of relapse following electroconvulsive therapy: a randomized controlled trial. JAMA. 2001;285:1299-1307. 4. Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329:977-986. 5. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) [erratum in Lancet. 1999;354:602]. Lancet. 1998;352:837-853. 6. Ohkubo Y, Kishikawa H, Araki E, et al. Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study. Diabetes Res Clin Pract. 1995; 28:103-117. 7. American Diabetes Association. Standards of medical care in diabetes. Diabetes Care. 2004;27(Suppl 1):S15-S35. 8. Brown AW, Wolff KL, Elasy TA, Graber AL. The role of advanced practice nurses in a shared care diabetes practice model. Diabetes Educ. 2001;27:492-496, 498-500,502. 9. Graber AL, Elasy TA, Quinn D, Wolff K, Brown A. Improving glycemic control in adults with diabetes mellitus: shared responsibility in primary care practices. South Med J. 2002;95:684-690. 10. Quinn DC, Graber AL, Elasy TA, J, Wolff K, Brown A. Overcoming turf battles: developing a pragmatic, collaborative model to improve glycemic control in patients with diabetes. Jt Comm J Qual Improv. 2001;27: 255-264. 11. DeFronzo RA. Pharmacologic therapy for type 2 diabetes mellitus. Ann Intern Med. 1999;131:281-303. 12. RM, Funnell MM, PM, Arnold MS, Fitzgerald JT, Feste CC. Patient empowerment: results of a randomized controlled trial. Diabetes Care. 1995;18:943-949. 13. Harrell FE. Regression Modeling Strategies With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer-Verlag, 2001. 14. Elasy TA, Graber AL, Wolff K, Brown A, Shintani A. Glycemic relapse after an intensive outpatient intervention for type 2 diabetes [letter]. Diabetes Care. 2003;26:1645-1646. 15. Diabetes Control and Complications Trial/ Epidemiology of Diabetes Interventions and Complications Research Group. Retinopathy and nephropathy in patients with type 1 diabetes four years after a trial of intensive therapy [erratum in N Engl J Med. 2000;342:1376]. N Engl J Med. 2000;342:381-389. 16. Lawson ML, MR, Fry MK, Perlman K, Sochett EB, Daneman D. Intensive diabetes management in adolescents with type 1 diabetes: the importance of intensive follow-up. J Pediatr Endocrinol Metab. 2000;13:79-84. 17. Couper JJ, J, Fotheringham MJ, Sawyer M. Failure to maintain the benefits of home-based intervention in adolescents with poorly controlled type 1 diabetes. Diabetes Care. 1999;22:1933-1937. 18. Rosilio M, Cotton JB, Wieliczko MC, et al (French Pediatric Diabetes Group). Factors associated with glycemic control: a cross-sectional nationwide study in 2,579 French children with type 1 diabetes. Diabetes Care. 1998;21:1146-1153. 19. Spiess K, Sachs G, Moser G, Pietschmann P, Schernthaner G, Prager R. Psychological moderator variables and metabolic control in recent onset type 1 diabetic patients—a two year longitudinal study. J Psychosom Res. 1994;38:249-258. 20. Bott U, ns V, Grusser M, Bender R, Mulhauser I, Berger M. Predictors of glycaemic control in type 1 diabetic patients after participation in an intensified treatment and teaching programme. Diabet Med. 1994;11:362-371. 21. Nichols GA, Hillier TA, Javor K, Brown JB. Predictors of glycemic control in insulin-using adults with type 2 diabetes. Diabetes Care. 2000;23:273-277. 22. Trief PM, Grand W, Elbert K, Weinstock RS. Family environment, glycemic control, and the psychosocial adaptation of adults with diabetes. Diabetes Care. 1998;21:241-245. 23. Levy J, Atkinson AB, Bell PM, McCance DR, Hadden DR. Beta-cell deterioration determines the onset and rate of progression of secondary dietary failure in type 2 diabetes mellitus: the 10-year follow-up of the Belfast Diet Study. Diabet Med. 1998;15:290-296. 24. Cook MN, Girman CJ, Stein PP, CM, Holman RR. Glycemic control continues to deteriorate after sulfonylureas are added to metformin among patients with type 2 diabetes. Diabetes Care. 2005;28:995-1000. 25. Cook CB, Lyles RH, El-Kebbi I, et al. The potentially poor response to outpatient diabetes care in urban African-Americans. Diabetes Care. 2001;24:209-215. Funding Information This study was supported in part by the National Institute of Diabetes and Digestive and Kidney Diseases (Grant P60DK20593), the American Diabetes Association, and the Wood Foundation. Abbreviation Notes A1C = hemoglobin A1c; BMI = body mass index; CI = confidence interval; HR = hazard ratio; IRQ = interquartile range; NA = not available Reprint Address Dr. Alan L. Graber, 2558 TVC, Vanderbilt Medical Center, Nashville, TN 37232. Alan L. Graber, MD, FACE, FACP,1 Ayumi K. Shintani, PhD, MPH,2 Kathleen Wolff, RN, MSN,3 Anne Brown, RN, MSN,3 Tom A. Elasy, MD, MPH1 1Department of Medicine, Vanderbilt University School of Medicine 2Department of Biostatistics, Vanderbilt University School of Medicine 3Vanderbilt University School of Nursing, Nashville, Tennessee. -- ne Holden, MS, RD < fivestar@... > " Ask the Parkinson Dietitian " http://www.parkinson.org/ " Eat well, stay well with Parkinson's disease " " Parkinson's disease: Guidelines for Medical Nutrition Therapy " http://www.nutritionucanlivewith.com/ Quote Link to comment Share on other sites More sharing options...
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