1
|
Thakarakkattil Narayanan Nair A, Donnelly LA, Dawed AY, Gan S, Anjana RM, Viswanathan M, Palmer CNA, Pearson ER. The impact of phenotype, ethnicity and genotype on progression of type 2 diabetes mellitus. Endocrinol Diabetes Metab 2020; 3:e00108. [PMID: 32318630 PMCID: PMC7170456 DOI: 10.1002/edm2.108] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 12/07/2019] [Indexed: 12/12/2022] Open
Abstract
AIM To conduct a comprehensive review of studies of glycaemic deterioration in type 2 diabetes and identify the major factors influencing progression. METHODS We conducted a systematic literature search with terms linked to type 2 diabetes progression. All the included studies were summarized based upon the factors associated with diabetes progression and how the diabetes progression was defined. RESULTS Our search yielded 2785 articles; based on title, abstract and full-text review, we included 61 studies in the review. We identified seven criteria for diabetes progression: 'Initiation of insulin', 'Initiation of oral antidiabetic drug', 'treatment intensification', 'antidiabetic therapy failure', 'glycaemic deterioration', 'decline in beta-cell function' and 'change in insulin dose'. The determinants of diabetes progression were grouped into phenotypic, ethnicity and genotypic factors. Younger age, poorer glycaemia and higher body mass index at diabetes diagnosis were the main phenotypic factors associated with rapid progression. The effect of genotypic factors on progression was assessed using polygenic risk scores (PRS); a PRS constructed from the genetic variants linked to insulin resistance was associated with rapid glycaemic deterioration. The evidence of impact of ethnicity on progression was inconclusive due to the small number of multi-ethnic studies. CONCLUSION We have identified the major determinants of diabetes progression-younger age, higher BMI, higher HbA1c and genetic insulin resistance. The impact of ethnicity is uncertain; there is a clear need for more large-scale studies of diabetes progression in different ethnic groups.
Collapse
Affiliation(s)
| | - Louise A. Donnelly
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Adem Y. Dawed
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Sushrima Gan
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | | | | | - Colin N. A. Palmer
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| | - Ewan R. Pearson
- Population Health & GenomicsSchool of MedicineUniversity of DundeeDundeeUK
| |
Collapse
|
2
|
Hodish I. Insulin therapy, weight gain and prognosis. Diabetes Obes Metab 2018; 20:2085-2092. [PMID: 29785843 DOI: 10.1111/dom.13367] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 05/16/2018] [Accepted: 05/16/2018] [Indexed: 12/11/2022]
Abstract
Insulin therapy is mainly used by people with type 2 diabetes who have failed other therapies and have become insulin-deficient. This group represents about a quarter of all people with type 2 diabetes. Almost all those with type 2 diabetes who start insulin therapy or intensify it gain weight, which may potentially diminish the prognostic advantage of improved glycaemia. To date, all available guidelines emphasize both the attainment of glycated haemoglobin (HbA1c) goals and weight control, without directing the clinician as to which element is of a higher priority. The following review attempts to clarify the issue using the available literature. The body of evidence presented in this review indicates that glycaemic management with exogenous insulin replacement is of a much higher priority than weight gain. Lower weight or weight loss do not show prognostic benefit in advanced stages of diabetes; therefore, weight gain should not discourage providers from achieving and maintaining HbA1c goals with insulin therapy, regardless of insulin dosage or other medications.
Collapse
Affiliation(s)
- Israel Hodish
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan Medical Center, Ann Arbor, Michigan
| |
Collapse
|
3
|
Anyanwagu U, Mamza J, Donnelly R, Idris I. Effects of obesity on metabolic and cardiovascular outcomes following insulin initiation in patients with type 2 diabetes. Obes Res Clin Pract 2018; 12:72-84. [DOI: 10.1016/j.orcp.2017.08.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 08/04/2017] [Accepted: 08/23/2017] [Indexed: 11/25/2022]
|
4
|
Brown A, Guess N, Dornhorst A, Taheri S, Frost G. Insulin-associated weight gain in obese type 2 diabetes mellitus patients: What can be done? Diabetes Obes Metab 2017; 19:1655-1668. [PMID: 28509408 DOI: 10.1111/dom.13009] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 05/06/2017] [Accepted: 05/11/2017] [Indexed: 12/11/2022]
Abstract
Insulin therapy (IT) is initiated for patients with type 2 diabetes mellitus when glycaemic targets are not met with diet and other hypoglycaemic agents. The initiation of IT improves glycaemic control and reduces the risk of microvascular complications. There is, however, an associated weight gain following IT, which may adversely affect diabetic and cardiovascular morbidity and mortality. A 3 to 9 kg insulin-associated weight gain (IAWG) is reported to occur in the first year of initiating IT, predominantly caused by adipose tissue. The potential causes for this weight gain include an increase in energy intake linked to a fear of hypoglycaemia, a reduction in glycosuria, catch-up weight, and central effects on weight and appetite regulation. Patients with type 2 diabetes who are receiving IT often have multiple co-morbidities, including obesity, that are exacerbated by weight gain, making the management of their diabetes and obesity challenging. There are several treatment strategies for patients with type 2 diabetes, who require IT, that attenuate weight gain, help improve glycaemic control, and help promote body weight homeostasis. This review addresses the effects of insulin initiation and intensification on IAWG, and explores its potential underlying mechanisms, the predictors for this weight gain, and the available treatment options for managing and limiting weight gain.
Collapse
Affiliation(s)
- Adrian Brown
- Department of Medicine, Faculty of Medicine, Nutrition and Dietetic Research Group, Imperial College, London, UK
| | - Nicola Guess
- Department of Medicine, Faculty of Medicine, Nutrition and Dietetic Research Group, Imperial College, London, UK
- Division of Diabetes and Nutritional Sciences, Kings College London, London, UK
| | - Anne Dornhorst
- Department of Metabolic Medicine, Imperial College London, London, UK
| | - Shahrad Taheri
- Department of Metabolic Medicine, Imperial College London, London, UK
- Department of Medicine and Clinical Research Core, Weill Cornell Medicine, New York, New York
- Department of Medicine and Clinical Research Core, Weill Cornell Medicine, Doha, Qatar
| | - Gary Frost
- Department of Medicine, Faculty of Medicine, Nutrition and Dietetic Research Group, Imperial College, London, UK
| |
Collapse
|
5
|
Abstract
Obesity and diabetes are on the rise, which remains a continuous health concern worldwide. It is important to consider weight effects of antidiabetic agents prior to initiation as different antidiabetic agents impact weight differently. Areas covered: New agents to treat diabetes, glucagon-like peptide-1 receptor agonists and sodium glucose cotransporter 2 inhibitors, have emerged over recent years that have been shown to result in weight reduction. Unfortunately, other antidiabetic medications used can cause weight gain such as with insulin, sulfonylureas, and thiazolidediones while some remain weight neutral (metformin and dipeptidyl peptidase-4 inhibitors). The weight effects of these antidiabetic medications described are from select relevant guidelines, clinical trials, reviews, and meta-analysis found through PubMed and Ovid databases up to July 2017. Expert commentary: This article summarizes the current evidence available on the weight effects of these agents in patients with diabetes. Evaluating potential risks, such as weight gain, with potential benefits, such as improvement in glycemic control, will help with designing optimal therapeutic diabetes regimens.
Collapse
Affiliation(s)
- Ashley M Higbea
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Courtney Duval
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Lisa M Chastain
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Jooyeon Chae
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| |
Collapse
|
6
|
Schernthaner-Reiter MH, Schernthaner G. Combination therapy of SGLT2 inhibitors with incretin-based therapies for the treatment of type 2 diabetes mellitus: Effects and mechanisms of action. Expert Rev Endocrinol Metab 2016; 11:281-296. [PMID: 30058933 DOI: 10.1586/17446651.2016.1151783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is a growing health problem worldwide; its pathogenesis is multifactorial and its progressive nature often necessitates a combination therapy with multiple antihyperglycemic agents. Sodium glucose cotransporter 2 (SGLT2) inhibitors and the incretin-based therapies - dipeptidyl peptidase 4(DPP-4) inhibitors and glucagon-like peptide 1 (GLP-1) receptor agonists - were introduced for the treatment of T2DM within the last decade. Evidence of the beneficial effects of these antihyperglycemic agents on micro- and macrovascular complications have started to emerge, which will become important in individualizing different combinations of antihyperglycemic agents to different patient populations. We review here the mechanisms of action, glycemic and cardiovascular effects of SGLT2 inhibitors and incretin-based therapies and their combination in the treatment of T2DM.
Collapse
Affiliation(s)
- Marie Helene Schernthaner-Reiter
- a Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III , Medical University of Vienna , Vienna , Austria
| | | |
Collapse
|
7
|
Abdulla H, Smith K, Atherton PJ, Idris I. Role of insulin in the regulation of human skeletal muscle protein synthesis and breakdown: a systematic review and meta-analysis. Diabetologia 2016; 59:44-55. [PMID: 26404065 DOI: 10.1007/s00125-015-3751-0] [Citation(s) in RCA: 148] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Accepted: 08/19/2015] [Indexed: 12/16/2022]
Abstract
AIMS/HYPOTHESIS We aimed to investigate the role of insulin in regulating human skeletal muscle metabolism in health and diabetes. METHODS We conducted a systematic review and meta-analysis of published data that examined changes in skeletal muscle protein synthesis (MPS) and/or muscle protein breakdown (MPB) in response to insulin infusion. Random-effects models were used to calculate weighted mean differences (WMDs), 95% CIs and corresponding p values. Both MPS and MPB are reported in units of nmol (100 ml leg vol.)(-1) min(-1). RESULTS A total of 104 articles were examined in detail. Of these, 44 and 25 studies (including a total of 173 individuals) were included in the systematic review and meta-analysis, respectively. In the overall estimate, insulin did not affect MPS (WMD 3.90 [95% CI -0.74, 8.55], p = 0.71), but significantly reduced MPB (WMD -15.46 [95% CI -19.74, -11.18], p < 0.001). Overall, insulin significantly increased net balance protein acquisition (WMD 20.09 [95% CI 15.93, 24.26], p < 0.001). Subgroup analysis of the effect of insulin on MPS according to amino acid (AA) delivery was performed using meta-regression analysis. The estimate size (WMD) was significantly different between subgroups based on AA availability (p = 0.001). An increase in MPS was observed when AA availability increased (WMD 13.44 [95% CI 4.07, 22.81], p < 0.01), but not when AA availability was reduced or unchanged. In individuals with diabetes and in the presence of maintained delivery of AA, there was a significant reduction in MPS in response to insulin (WMD -6.67 [95% CI -12.29, -0.66], p < 0.05). CONCLUSIONS/INTERPRETATION This study demonstrates the complex role of insulin in regulating skeletal muscle metabolism. Insulin appears to have a permissive role in MPS in the presence of elevated AAs, and plays a clear role in reducing MPB independent of AA availability.
Collapse
Affiliation(s)
- Haitham Abdulla
- Division of Medical Sciences & Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Kenneth Smith
- Division of Medical Sciences & Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Philip J Atherton
- Division of Medical Sciences & Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Iskandar Idris
- Division of Medical Sciences & Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK.
| |
Collapse
|
8
|
Liu L, Ke W, Wan X, Zhang P, Cao X, Deng W, Li Y. Insulin requirement profiles of short-term intensive insulin therapy in patients with newly diagnosed type 2 diabetes and its association with long-term glycemic remission. Diabetes Res Clin Pract 2015; 108:250-7. [PMID: 25765670 DOI: 10.1016/j.diabres.2015.02.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 12/23/2014] [Accepted: 02/13/2015] [Indexed: 01/19/2023]
Abstract
AIMS To investigate the insulin requirement profiles during short-term intensive continuous subcutaneous insulin infusion (CSII) in patients with newly diagnosed type 2 diabetes and its relationship with long-term glycemic remission. METHODS CSII was applied in 104 patients with newly diagnosed type 2 diabetes. Daily insulin doses were titrated and recorded to achieve and maintain euglycemia for 2 weeks. Measurements of blood glucose, lipid profiles as well as intravenous glucose tolerance tests were performed before and after the therapy. Afterwards, patients were followed up for 1 year. RESULTS Total daily insulin dose (TDD) was 56.6±16.1IU at the first day when euglycemia was achieved (TDD-1). Thereafter, TDD progressively decreased at a rate of 1.4±1.0IU/day to 36.2±16.5IU at the end of the therapy. TDD-1 could be estimated with body weight, FPG, triglyceride and waist circumference in a multiple linear regression model. Decrement of TDD after euglycemia was achieved (ΔTDD) was associated with reduction of HOMA-IR (r=0.27, P=0.008) but not with improvement in β cell function. Patients in the lower tertile of ΔTDD had a significantly higher risk of hyperglycemia relapse than those in the upper tertile within 1 year (HR 3.4, 95%CI [1.4, 8.4], P=0.008). CONCLUSIONS There is a steady decline of TDD after euglycemia is achieved in patients with newly diagnosed type 2 diabetes treated with CSII, and ΔTDD is associated with a better long-term glycemic outcome.
Collapse
Affiliation(s)
- Liehua Liu
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Weijian Ke
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Xuesi Wan
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Pengyuan Zhang
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Xiaopei Cao
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Wanping Deng
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58, Zhongshan er Road, Guangzhou 510080, China.
| |
Collapse
|
9
|
Fonseca V, McDuffie R, Calles J, Cohen RM, Feeney P, Feinglos M, Gerstein HC, Ismail-Beigi F, Morgan TM, Pop-Busui R, Riddle MC. Determinants of weight gain in the action to control cardiovascular risk in diabetes trial. Diabetes Care 2013; 36:2162-8. [PMID: 23412077 PMCID: PMC3714487 DOI: 10.2337/dc12-1391] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Identify determinants of weight gain in people with type 2 diabetes mellitus (T2DM) allocated to intensive versus standard glycemic control in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. RESEARCH DESIGN AND METHODS We studied determinants of weight gain over 2 years in 8,929 participants (4,425 intensive arm and 4,504 standard arm) with T2DM in the ACCORD trial. We used general linear models to examine the association between each baseline characteristic and weight change at the 2-year visit. We fit a linear regression of change in weight and A1C and used general linear models to examine the association between each medication at baseline and weight change at the 2-year visit, stratified by glycemia allocation. RESULTS There was significantly more weight gain in the intensive glycemia arm of the trial compared with the standard arm (3.0 ± 7.0 vs. 0.3 ± 6.3 kg). On multivariate analysis, younger age, male sex, Asian race, no smoking history, high A1C, baseline BMI of 25-35, high waist circumference, baseline insulin use, and baseline metformin use were independently associated with weight gain over 2 years. Reduction of A1C from baseline was consistently associated with weight gain only when baseline A1C was elevated. Medication usage accounted for <15% of the variability of weight change, with initiation of thiazolidinedione (TZD) use the most prominent factor. Intensive participants who never took insulin or a TZD had an average weight loss of 2.9 kg during the first 2 years of the trial. In contrast, intensive participants who had never previously used insulin or TZD but began this combination after enrolling in the ACCORD trial had a weight gain of 4.6-5.3 kg at 2 years. CONCLUSIONS Weight gain in ACCORD was greater with intensive than with standard treatment and generally associated with reduction of A1C from elevated baseline values. Initiation of TZD and/or insulin therapy was the most important medication-related factor associated with weight gain.
Collapse
Affiliation(s)
- Vivian Fonseca
- Tulane University Health Sciences Center, New Orleans, Louisiana, USA.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Watson L, Wilson BP, Alsop J, Kumar S. Weight and glycaemic control in type 2 diabetes: what is the outcome of insulin initiation? Diabetes Obes Metab 2011; 13:823-31. [PMID: 21481128 DOI: 10.1111/j.1463-1326.2011.01413.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
AIMS Little information is available on the association between obesity at time of insulin initiation and attainment of glycaemic targets in type 2 diabetic (T2DM) patients. This study describes changes in HbA1c, weight and body mass index (BMI) over 24 months postinsulin initiation. METHODS First-time insulin users with T2DM were selected from the UK General Practice Research Database for the period 1st January 2002 to 31st March 2008. The cohort was stratified into BMI categories (kg/m(2) ) at the time of insulin initiation. Data were reviewed at 6-monthly intervals. A multivariate repeated-measures linear model was fitted assessing weight change over 12 months. RESULTS 3783 patients were included (normal weight, n = 672; overweight, n = 1259; obese, n = 1070; clinically obese, n = 480; morbidly obese, n = 302). The largest reductions in HbA1c were observed 6 months postinsulin initiation and were greatest in lower BMI categories: median observed HbA1c at initiation and 6 months was 9.7 and 7.9% in normal weight patients and 9.6 and 8.2% in the clinically obese, respectively. A minority of patients achieved HbA1c ≤ 7.5% and by 24 months the proportion achieving this was: normal weight 41%; overweight 34%; obese 30%; clinically obese 26%; morbidly obese 31%; trend p < 0.001. The greatest weight gain occured by 6 months and multivariate adjusted models showed that normal weight patients had the highest gains 5.07 kg (95% CI: 3.35, 6.79), as did those with HbA1c ≥ 12.1%-5.55 kg (95% CI: 3.81, 7.28). CONCLUSION Obesity is associated with a poorer response to insulin illustrated by higher HbA1c values and lower achievement of targets.
Collapse
|
11
|
Jansen HJ, Hendriks JC, de Galan BE, Penders G, Tack CJ, Vervoort G. Contribution of change in glycosylated haemoglobin to insulin-associated weight gain: results of a longitudinal study in type 2 diabetic patients. Endocrine 2011; 39:190-7. [PMID: 21069577 DOI: 10.1007/s12020-010-9423-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2010] [Accepted: 10/25/2010] [Indexed: 10/18/2022]
Abstract
To investigate the contribution of glycosylated haemoglobin change (HbA1c) on body weight in patients with type 2 diabetes after start of insulin therapy. We analysed 122 individual weight-profiles in relation to the change in HbA1c per se in these patients up to 36 months after the start of insulin therapy. Data were analysed separately for the first 9 months after commencement of insulin therapy and for the period thereafter. Within the first 9 months of insulin therapy mean body weight increased by 0.52 kg per month. HbA1c decreased from 9.9 ± 1.8 to 7.9 ± 1.3%. Only 12% of the initial weight gain could be attributed to the change in HbA1c. Furthermore, the mean monthly increase in body weight gain was reduced by 0.006 kg for every 1 kg higher body weight at baseline. From 9 to 36 months after start of insulin therapy, body weight increased by 0.1 kg/month, which was independent of change in HbA1c. Improvement of glycaemic control per se contributes little to initial weight gain after start of insulin therapy in patients with T2DM. After 9 months of insulin treatment, weight gain is unrelated to change in glycosylated haemoglobin. Other factors have to be responsible for weight gain after start of insulin therapy.
Collapse
Affiliation(s)
- H J Jansen
- Department of General Internal Medicine 463, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
| | | | | | | | | | | |
Collapse
|
12
|
Owen V, Seetho I, Idris I. Predictors of responders to insulin therapy at 1 year among adults with type 2 diabetes. Diabetes Obes Metab 2010; 12:865-70. [PMID: 20920038 DOI: 10.1111/j.1463-1326.2010.01239.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND The effectiveness of insulin therapy to lower blood glucose levels in patients with type 2 diabetes (T2D) may depend on a variety of factors. This study aims to determine baseline parameters including body mass index (BMI) threshold that might predict responders to insulin therapy. METHODS This was a retrospective UK population-based study derived from 358 general practices electronic dataset. We included all patients with T2D, diagnosed at the age of >18 years old and who were initiated on insulin from January 2000 to December 2006. Insulin responders were defined as HbA1c <7.5% and/or HbA1c reduction by >1% at 12 months postinsulin initiation. RESULTS Results are expressed in mean (s.d.). A total of 6032 patients were identified. Baseline age was 63 years (11.7). In all, 61% of patients (3696) responded to insulin. At 1-year postinsulin initiation, HbA1c was significantly reduced (9.8 vs. 8.4%, p < 0.001) and weight increased (85.7 vs. 87.9 kg, p < 0.001). Using logistic regression model, older age (p < 0.001), lower BMI (p = 0.046), higher HbA1c (p < 0.001), basal-bolus insulin therapy and premixed insulin compared to basal insulin alone at baseline were independent predictors of responders to insulin. Gender and social class were not significant predictors of insulin responders. A BMI of <35.3 was derived as a cut-point for response to insulin (p = 0.038). CONCLUSION Overall, insulin therapy confers significant HbA1c reduction and weight increase in patients with T2D. The responsiveness to insulin therapy however appears to depend on baseline age, BMI, HbA1c and insulin regime. Clinicians should take these factors into consideration when making a decision to initiate insulin therapy in patients with T2D.
Collapse
Affiliation(s)
- V Owen
- East Midlands Research Support Unit, University of Nottingham, University Park, Nottingham, UK
| | | | | |
Collapse
|
13
|
McFarlane SI. Insulin therapy and type 2 diabetes: management of weight gain. J Clin Hypertens (Greenwich) 2010; 11:601-7. [PMID: 19817944 DOI: 10.1111/j.1751-7176.2009.00063.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The potential for insulin-related weight gain in patients with type 2 diabetes presents a therapeutic dilemma and frequently leads to delays in the initiation of insulin therapy. It also poses considerable challenges when treatment is intensified. Addressing insulin-related weight gain is highly relevant to the prevention of metabolic and cardiovascular consequences in this high-risk population with type 2 diabetes. In addition to lifestyle changes (eg, diet and exercise) and available medical interventions to minimize the risk of weight gain with insulin treatment, familiarity with the weight gain patterns of different insulins may help deal with this problem. The use of basal insulin analogs may offer advantages over conventional human insulin preparations in terms of more physiologic time-action profiles, reduced risk of hypoglycemia, and reduced weight gain.
Collapse
Affiliation(s)
- Samy I McFarlane
- Division of Endocrinology, College of Medicine, State University of New York-Downstate, Brooklyn, NY 11203, USA.
| |
Collapse
|
14
|
Greenslade ME, Lunt H, Kendall D, Frampton CM. ‘Introduction to Insulin’ classes: flexible approach to insulin initiation. ACTA ACUST UNITED AC 2009. [DOI: 10.1002/pdi.1357] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
|
15
|
Abstract
The physiologic effects of insulin on carbohydrate metabolism in health in general and in diabetes are well known. Less understood, but far more intriguing, are the extrapancreatic effects of insulin that go beyond glycemic control to help sense, integrate, and maintain energy balance. Virtually every organ, including the brain, is a target for insulin action. When exogenous insulin is administered directly into the brains of experimental animals, the net effect is anorectic; however, patients with type 2 diabetes who transition to insulin therapy often gain weight--a tendency that opposes good glycemic control and overall therapeutic goals. After the brief review of extrapancreatic insulin--signaling pathways presented here, the physiologic impact of developing insulin resistance in relation to body weight is considered. Attention is then focused on insulin detemir, a longacting insulin analog that has consistently been associated with less weight gain than conventional formulations such as neutral protamine Hagedorn insulin. Mechanisms offered to explain this effect include the lower incidence of hypoglycemia and less within-patient variability associated with insulin detemir; however, recent observations and considerations of insulin-signaling pathways have shed light on other important properties of insulin detemir that may impart these weight-neutral effects. Namely, albumin binding, faster transport across the bloodbrain barrier, and preferential activity in brain and liver are characteristics of insulin detemir that potentially explain the observed weight benefit seen in clinical trials, as well as in the real-world practice setting.
Collapse
Affiliation(s)
- Joseph Tibaldi
- Division of Endocrinology, Flushing Hospital Medical Center, Flushing, New York, USA.
| |
Collapse
|
16
|
Bibliography. Current world literature. Diabetes and the endocrine pancreas. Curr Opin Endocrinol Diabetes Obes 2007; 14:170-96. [PMID: 17940437 DOI: 10.1097/med.0b013e3280d5f7e9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|