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Peterson BA, Gwinn ML, Valdez RA. Use of family history in clinical guidelines for diabetes and colorectal cancer. Am J Prev Med 2012; 42:65-70. [PMID: 22176849 DOI: 10.1016/j.amepre.2011.08.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2011] [Revised: 06/23/2011] [Accepted: 08/30/2011] [Indexed: 12/27/2022]
Abstract
BACKGROUND Family history is a risk factor for many chronic diseases and as such is often incorporated into clinical practice guidelines. PURPOSE To assess the consistency of the use of family history in selected guidelines for colorectal cancer (CRC) and type 2 diabetes mellitus (T2DM) and to examine how these definitions influence their screening recommendations. METHODS Using a web-based search, guidelines issued between 2001 and 2011 from Australia, Canada, the United Kingdom, the U.S., and the WHO were reviewed. In total, 21 guidelines were found that included family history information (14 for CRC and seven for T2DM). For each guideline, the definition of family history and the way this definition influenced screening recommendations was recorded. Analyses were completed on May 2011. RESULTS Family history was defined most often as the presence of affected first-degree relatives; the number of such relatives and their ages at diagnosis were considered sometimes in making specific recommendations. The definition of family history and its impact on recommendations varied substantially, even for the same disease. CONCLUSIONS Despite the importance of family history as a risk factor for CRC and T2DM, its use in screening recommendations is inconsistent among guidelines from major organizations; however, differences do not appear large enough to prevent achieving consensus among the guidelines for each disease. More standardized recommendations for use of family history in CRC and T2DM screening guidelines could enhance their utility for prevention.
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Affiliation(s)
- Brent A Peterson
- Biology Department, Wisconsin Lutheran College, Milwaukee, Wisconsin, USA
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202
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Noninsulin treatment of type 2 diabetes mellitus in geriatric patients: a review. Clin Ther 2011; 33:1868-82. [PMID: 22136979 DOI: 10.1016/j.clinthera.2011.10.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2011] [Revised: 10/21/2011] [Accepted: 10/24/2011] [Indexed: 12/20/2022]
Abstract
BACKGROUND Currently, 42% of the US population with diabetes is aged ≥65 years. OBJECTIVE The aim of this review was to discuss the efficacy and tolerability of noninsulin therapies for type 2 diabetes mellitus (T2DM), with an emphasis on patients aged ≥65 years. METHODS PubMed and EMBASE (1977-2010) were searched using the terms geriatric, elderly patients, type 2 diabetes mellitus, metformin, secretagogues, thiazolidinediones (TZDs), alpha-glucosidase inhibitors, dipeptidyl peptidase-4 (DPP-4) inhibitors, and glucagon-like peptide-1 (GLP-1) receptor agonists. Articles were included if they were clinical trials, reviews, or meta-analyses. RESULTS More than 10 classes of noninsulin treatments are available for T2DM. However, most treatments have been evaluated only in trials in patients aged <65 years, and trials in older populations are scarce. Therefore, health care providers should consider the overall benefit to risk, with a focus on risk factors in older patients. A1C reductions range from 0.6% to 2%, with similar decreases observed for metformin, TZDs, sulfonylureas (SUs), glinides, and GLP-1 receptor agonists Treatment-associated adverse events vary. The prevalence of hypoglycemia is high with the secretagogues, SUs, and glinides (20% with glibenclamide or glipizide, 16% with repaglinide). The TZDs have been associated with an increased risk for heart failure (adjusted ratio = 1.60; 95% CI, 1.21-2.10; P < 0.001) compared with the other oral therapies. Gastrointestinal adverse events have been commonly reported with metformin (38% of patients), which is contraindicated in cases of renal insufficiency. Use of the GLP-1 RAs liraglutide and exenatide have been associated with comparable weight reductions of ∼3 kg and with a low risk for hypoglycemia (prevalence, 4% with exenatide 10 μg; ∼5% with liraglutide 1.2 or 1.8 mg). Treatment with the GLP-1 RAs has been associated with transient gastrointestinal reactions, mainly nausea. CONCLUSIONS The selection of noninsulin treatments in older patients with T2DM should be individualized based on patient assessment and on careful evaluation of the potential benefits (glycemic and extraglycemic) and risks (ie, hypoglycemia, weight gain, cardiovascular risks). More clinical trials in older patients, especially those aged ≥65 years, with T2DM are needed.
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203
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Risk of coronary artery disease in individuals infected with human immunodeficiency virus. Braz J Infect Dis 2011. [DOI: 10.1016/s1413-8670(11)70245-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Gonder-Frederick L, Shepard J, Peterson N. Closed-loop glucose control: psychological and behavioral considerations. J Diabetes Sci Technol 2011; 5:1387-95. [PMID: 22226256 PMCID: PMC3262705 DOI: 10.1177/193229681100500610] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Since 2000, the diabetes community has witnessed tremendous technological advances that have revolutionized diabetes management. Currently, closed-loop glucose control (CLC) systems, which link continuous subcutaneous insulin infusion and continuous glucose monitoring, are the newest, cutting edge technology aimed at reducing glycemic variability and improving daily management of diabetes. Although advances in knowledge and technology in the treatment of diabetes have improved exponentially, adherence to diabetes regimens remains complex and often difficult to predict. Human factors, such as patient perceptions and behavioral self-regulation, are central to adherence to prescribed regimens, as well as to adoption and utilization of diabetes technology, and they will continue to be crucial as diabetes management evolves. Thus, the aims of this article are three-fold: (1) to review psychological and behavioral factors that have influenced adoption and utilization of past technologies, (2) to examine three theoretical frameworks that may help in conceptualizing relevant patient factors in diabetes management, and (3) to propose patient-selection factors that will likely affect future CLC systems.
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Affiliation(s)
- Linda Gonder-Frederick
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, Virginia 22908 , USA.
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205
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Migdal A, Yarandi SS, Smiley D, Umpierrez GE. Update on Diabetes in the Elderly and in Nursing Home Residents. J Am Med Dir Assoc 2011; 12:627-632.e2. [DOI: 10.1016/j.jamda.2011.02.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2010] [Revised: 02/17/2011] [Accepted: 02/17/2011] [Indexed: 01/25/2023]
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206
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Doehner W, Erdmann E, Cairns R, Clark AL, Dormandy JA, Ferrannini E, Anker SD. Inverse relation of body weight and weight change with mortality and morbidity in patients with type 2 diabetes and cardiovascular co-morbidity: an analysis of the PROactive study population. Int J Cardiol 2011; 162:20-6. [PMID: 22037349 DOI: 10.1016/j.ijcard.2011.09.039] [Citation(s) in RCA: 157] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2011] [Accepted: 09/17/2011] [Indexed: 01/03/2023]
Abstract
CONTEXT Although weight reduction is a recommended goal in type 2 diabetes mellitus (T2DM), weight loss is linked to impaired survival in patients with some chronic cardiovascular diseases. OBJECTIVE To assess the association of weight and weight change with mortality and non-fatal cardiovascular outcomes (hospitalisation, myocardial infarction and stroke) in T2DM patients with cardiovascular co-morbidity and the effect of pioglitazone-induced weight change on mortality. SETTING AND PARTICIPANTS We assessed in a post hoc analysis body weight and weight change in relation to outcome in 5202 patients from the PROactive trial population who had T2DM and evidence of pre-existing cardiovascular disease. Patients were randomized to treatment with pioglitazone or placebo in addition to their concomitant glucose-lowering and cardiovascular medication. Mean follow up was 34.5 months. MAIN OUTCOME MEASURE The impact of body weight and body weight change on all-cause mortality, cardiovascular mortality, on non-fatal cardiovascular events and on hospitalisation. RESULTS The lowest mortality was seen in patients with BMI 30-35 kg/m(2) at baseline. In comparison to this (reference group), patients in the placebo group with BMI <22 kg/m(2) (Hazard Ratio (95% confidence intervals) 2.96 [1.27 to 6.86]; P=0.012) and BMI 22 to 25 kg/m(2) (HR 1.88 [1.11 to 3.21]; P=0.019) had a higher all-cause mortality. Weight loss was associated with increased total mortality (HR per 1% body weight: 1.13 [1.11 to 1.16]; P<0.0001), with increased cardiovascular mortality, all-cause hospitalisation and the composite of death, myocardial infarction and stroke. Weight loss of ≥7.5% body weight (seen in 18.3% of patients) was the strongest cut-point to predict impaired survival (multivariable adjusted HR 4.42 [3.30 to 5.94]. Weight gain was not associated with increased mortality. Weight gain in patients treated with pioglitazone (mean+4.0±6.1 kg) predicted a better prognosis (HR per 1% weight gain: 0.96 [0.92 to 1.00] P=0.037) compared to patients without weight gain. CONCLUSION Among patients with T2DM and cardiovascular co-morbidity, overweight and obese patients had a lower mortality compared to patients with normal weight. Weight loss but not weight gain was associated with increased mortality and morbidity. There may be an "obesity paradox" in patients with type 2 diabetes and cardiovascular risk. The original PROactive trial is registered as an International Standard Randomized Controlled Trial (Number ISRCTN NCT00174993).
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Affiliation(s)
- Wolfram Doehner
- Center for Stroke Research Berlin, Charité, Berlin, Germany.
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207
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Lee JH, Kim K, Jo YH, Rhee JE, Lee JC, Kim KS, Kwon WY, Suh GJ, Kim HC, Yoon HI, Park SH. Feasibility of continuous glucose monitoring in critically ill emergency department patients. J Emerg Med 2011; 43:251-7. [PMID: 21982990 DOI: 10.1016/j.jemermed.2011.06.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2010] [Revised: 04/04/2011] [Accepted: 06/04/2011] [Indexed: 01/08/2023]
Abstract
BACKGROUND Glucose control is important in the management of critically ill patients. However, strict glucose control requires a large amount of nursing resources, especially in overcrowded emergency departments (EDs). OBJECTIVES A continuous glucose monitoring system (CGMS) may be beneficial for glucose control in the ED. The objective of this study was to determine the test characteristics of CGMS in critically ill ED patients. METHODS A prospective observational study of critically ill ED patients was conducted. During a patient's visit to the ED, a CGMS sensor measured their interstitial fluid glucose levels continuously. Capillary glucose was measured every hour and used for glucose control and as a reference value. CGMS values were recorded in real time and compared with capillary glucose values. RESULTS A total of 122 pairs of capillary and CGMS glucose values in 12 patients were analyzed. The correlation coefficient was 0.87, and Bland-Altman analysis showed that 117 pairs (95.9%) were within a 95% confidence interval. A Clarke Error Grid Analysis indicated an overall accuracy of 96.8% (Zones A and B). However, the mean absolute relative difference (MARD) was significantly higher in the hypoglycemic range than in a normo- or hyperglycemic range (p = 0.001). The sensitivity and positive predictive value of CGMS for detecting hypoglycemia were 33.3% and 16.7%, respectively. The CGMS specificity and negative predictive value were 95.8% and 98.3%, respectively. There was no linear correlation between MARD and body mass index, axillary temperature, inotrope score, and base deficit (all p-value >0.05). CONCLUSION CGMS demonstrated good clinical accuracy by Clarke Error Grid Analysis. There also was high agreement between CGMS and capillary glucose levels. However, CGMS demonstrated only limited real-time hypoglycemia detection ability in critically ill ED patients.
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Affiliation(s)
- Jae Hyuk Lee
- Department of Emergency Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea
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208
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Abstract
Hyperglycemia is a common and costly health care problem in hospitalized patients. In hospital hyperglycemia is defined as any glucose value >7.8 mmol/l (140 mg/dl). Hyperglycemia is present in 40% of critically ill patients and in up to 80% of patients after cardiac surgery, with ∼ 80% of ICU patients with hyperglycemia having no history of diabetes prior to admission. The risk of hospital complications relates to the severity of hyperglycemia, with a higher risk observed in patients without a history of diabetes compared to those with known diabetes. Improvement in glycemic control reduces hospital complications and mortality; however, the ideal glycemic target has not been determined. A target glucose level between 7.8 and 10.0 mmol/l (140 and 180 mg/dl) is recommended for the majority of ICU patients. This review aims to present updated recommendations for the inpatient management of hyperglycemia in critically ill patients with and without a history of diabetes.
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Affiliation(s)
- Farnoosh Farrokhi
- Department of Medicine, Division of Endocrinology, Emory University School of Medicine, 49 Jesse Hill Jr Dr., Atlanta, GA 30303, USA.
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209
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Hurd WW, Abdel-Rahman MY, Ismail SA, Abdellah MA, Schmotzer CL, Sood A. Comparison of diabetes mellitus and insulin resistance screening methods for women with polycystic ovary syndrome. Fertil Steril 2011; 96:1043-7. [DOI: 10.1016/j.fertnstert.2011.07.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2011] [Revised: 06/30/2011] [Accepted: 07/05/2011] [Indexed: 12/15/2022]
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Ovalle F. Cardiovascular implications of antihyperglycemic therapies for type 2 diabetes. Clin Ther 2011; 33:393-407. [PMID: 21635987 DOI: 10.1016/j.clinthera.2011.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2011] [Indexed: 01/06/2023]
Abstract
BACKGROUND Several risk factors for cardiovascular disease (CVD), including insulin resistance/hyperinsulinemia, hyperglycemia, overweight/obesity, dyslipidemia, and hypertension, are often present in varying combinations in patients with type 2 diabetes mellitus (DM). Patients with a clustering of these risk factors, termed the metabolic syndrome, are at greater risk for CVD than are patients with only a single risk factor. Although glycemic control is the central feature of type 2 DM management, patients require an individualized approach to therapy that takes their other CVD risk factors into account. OBJECTIVE This review examined the effects of antidiabetes therapy on glycemic control, as well as its potential to affect body weight, serum lipids, and blood pressure (BP), and thus CVD risk. METHODS Information was obtained by searching the MEDLINE and EMBASE databases from 1995 through March 2010. The search terms included type 2 DM, metabolic syndrome, CV complications of type 2 DM, and therapy for type 2 DM. Articles that described relevant details of the metabolic syndrome, CV complications of type 2 DM, and effects of antidiabetes therapy on glycosylated hemoglobin, body weight, serum lipids, and BP were selected for in-depth review. Only English language publications were reviewed. Clinical trials, meta-analyses, and review articles on the key words were preferentially selected for review and analysis. Non-English language publications, case reports, letters to the editor, and similar types of publications were excluded. RESULTS Although all approved antidiabetes agents lowered glucose, their effect on other CV risk factors, such as BP, lipids, and weight, differed significantly. Therapy with insulin, the sulfonylureas, and the thiazolidinediones was associated with weight gain. Metformin and the dipeptidyl-peptidase-4 inhibitors were generally considered weight neutral, whereas the glucagon-like peptide-1 receptor agonists and amylin agonists were associated with weight loss. Metformin, sulfonylureas, thiazolidinedioness, and dipeptidyl-peptidase-4 inhibitors had modest effects on serum lipid levels and BP. The glucagon-like peptide-1 receptor agonists generally had beneficial effects on serum lipid levels and systolic and diastolic BP. CONCLUSION A wide variety of agents were available to aid glycemic control in patients with type 2 DM. These agents had variable effects on known CV risk factors that might be present in this patient population, including excess body weight, elevated BP, and increased serum lipids. Some of the newer agents improved glycemic control while also having potentially favorable effects on these CV risk factors. The impact of various agents on known CV risk factors should be considered when selecting a therapeutic regimen.
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Affiliation(s)
- Fernando Ovalle
- Division of Endocrinology, Diabetes and Metabolism, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.
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211
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Aguilar RB. Evaluating treatment algorithms for the management of patients with type 2 diabetes mellitus: a perspective on the definition of treatment success. Clin Ther 2011; 33:408-24. [PMID: 21635988 DOI: 10.1016/j.clinthera.2011.04.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2011] [Indexed: 12/23/2022]
Abstract
BACKGROUND Traditional treatment of type 2 diabetes mellitus (T2DM) has focused on correcting hyperglycemia. However, T2DM is often accompanied by other conditions and risk factors, including hypertension, overweight/obesity, and dyslipidemia, that affect morbidity and mortality. A broader view toward treating the array of physiologic derangements may provide significant long-term outcomes benefits. OBJECTIVE This perspective paper reviews recent data regarding the pathophysiology of T2DM, evaluates current treatment recommendations/algorithms, and discusses potential risks and benefits associated with the various therapeutic options and their combinations. METHODS Information was obtained by a search of the PubMed and Embase databases using the key words type 2 diabetes mellitus, glycosylated hemoglobin, pathophysiology of type 2 diabetes, glycemic control, antidiabetes therapy, multifactorial therapy, and treatment algorithms for the period of 1985 to 2010. A representative number of relevant articles dealing with these topics was then selected for review. RESULTS Three recently proposed treatment algorithms, the American Diabetes Association/European Association for the Study of Diabetes less well-validated algorithm, the American Association of Clinical Endocrinologists/American College of Endocrinology algorithm, and the DeFronzo algorithm, were compared and contrasted. Metformin is usually the first oral agent to be used when not contraindicated because of its ability to suppress hepatic glucose production. Some recommended agents, such as sulfonylureas, drive β-cell failure even as they improve glycosylated hemoglobin. Others, such as glucagon-like peptide-1 (GLP-1) receptor agonists and thiazolidinediones, support and enhance β-cell function. Also, some agents predispose to weight gain (eg, sulfonylureas and insulin), whereas others are weight neutral (eg, dipeptidyl-peptidase-4 inhibitors) or result in weight loss (eg, GLP-1 receptor agonists, pramlintide). Finally, the impact of these agents on associated cardiovascular risk factors is varied. Agents that improve glycemic control while favorably affecting blood lipid levels and/or systemic blood pressure may lead to improvements in morbidity and mortality. Attention to the mechanisms of action and associated consequences of the numerous pharmacologic treatment choices may provide clinicians a better selection of agents in treating patients with T2DM. CONCLUSIONS Physicians should evaluate the array of treatment options available for patients with T2DM. An aggressive regimen including metformin, a thiazolidinedione, and a GLP-1 receptor agonist may improve insulin sensitivity and enhance β-cell function. Addressing the pathophysiologic defects associated with T2DM, as well as the various associated cardiovascular risk factors, with combination therapy may slow the natural progression of the disease and development of its associated complications.
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212
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Pérez-Monteverde A, Seck T, Xu L, Lee MA, Sisk CM, Williams-Herman DE, Engel SS, Kaufman KD, Goldstein BJ. Efficacy and safety of sitagliptin and the fixed-dose combination of sitagliptin and metformin vs. pioglitazone in drug-naïve patients with type 2 diabetes. Int J Clin Pract 2011; 65:930-8. [PMID: 21849007 DOI: 10.1111/j.1742-1241.2011.02749.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
AIM The efficacy and safety of sitagliptin (SITA) monotherapy and SITA/metformin (MET) vs. pioglitazone (PIO) were assessed in patients with type 2 diabetes and moderate-to-severe hyperglycaemia (A1C = 7.5-12.0%). METHODS In an initial 12-week phase (Phase A), 492 patients were randomised 1 : 1 in a double-blind fashion to SITA (100 mg qd) or PIO (15 mg qd, up-titrated to 30 mg after 6 weeks). In Phase B (28 additional weeks), the SITA group was switched to SITA/MET (up-titrated to 50/1000 mg bid over 4 weeks) and the PIO group was up-titrated to 45 mg qd RESULTS At the end of Phase A, mean changes from baseline were -1.0% and -0.9% for A1C; -26.6 mg/dl and -28.0 mg/dl for fasting plasma glucose; and -52.8 mg/dl and -50.1 mg/dl for 2-h post-meal glucose for SITA and PIO, respectively. At the end of Phase B, improvements in glycaemic parameters were greater with SITA/MET vs. PIO: -1.7% vs. -1.4% for A1C (p = 0.002); -45.8 mg/dl vs. -37.6 mg/dl for fasting plasma glucose (p = 0.03); -90.3 mg/dl vs. -69.1 mg/dl for 2-h postmeal glucose (p = 0.001); and 55.0% vs. 40.5% for patients with A1C < 7% (p = 0.004). A numerically higher incidence of gastrointestinal adverse events and a significantly lower incidence of oedema were observed with SITA/MET vs. PIO. The incidence of hypoglycaemia was similarly low in both groups. Body weight decreased with SITA/MET and increased with PIO (-1.1 kg vs. 3.4 kg; p < 0.001). CONCLUSION Improvements in glycaemic control were greater with SITA/MET vs. PIO, with weight loss vs. weight gain. Both treatments were generally well tolerated.
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Affiliation(s)
- A Pérez-Monteverde
- Servicio de Endocrinología y Diabetes, Centro Médico Docente la Trinidad, Caracas, Venezuela
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213
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Nerhus K, Rustad P, Sandberg S. Effect of ambient temperature on analytical performance of self-monitoring blood glucose systems. Diabetes Technol Ther 2011; 13:883-92. [PMID: 21714677 DOI: 10.1089/dia.2010.0255] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The analytical quality of self-monitoring of blood glucose (SMBG) can be affected by environmental conditions such as temperature. The objective of this study was to determine the influence of (1) a shift in the ambient temperature immediately before measurement and (2) taking measurements in the lower and upper part of the operating temperature range. METHODS Nine different SMBG systems on the Norwegian market were tested with heparinized venous blood (4.8 and 19.0 mmol/L). To test the shift in ambient temperature effect, the glucometer and strips were equilibrated for 1 h at 5°C or 1 h at 30°C before the meter and strips were moved to room temperature, and measurements were performed after 0, 5, 10, 15, and 30 min. To test the lower and upper temperature range, measurements were performed at 10°C and at 39°C after 1 h for temperature equilibration of the glucometer and strips. All these measurements were compared with measurements performed simultaneously on a meter and strips kept at room temperature the whole time. RESULTS Six of nine SMBG systems overestimated and/or underestimated the results by more than 5% after moving meters and strips from 5°C or 30°C to room temperature immediately before the measurements. Two systems underestimated the results at 10°C. One system overestimated and another underestimated the results by more than 5% at 39°C. CONCLUSIONS The effect on analytical performance was most pronounced after a rapid shift in the ambient temperature. Therefore patients need to wait at least 15 min for temperature equilibration of affected meters and strips before measuring blood glucose.
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Affiliation(s)
- Kari Nerhus
- Norwegian Centre for Quality Improvement of Primary Care Laboratories, Section for General Practice, Department of Public Health and Primary Health Care, University of Bergen, Bergen, Norway.
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214
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Kuritzky L, Samraj GP. Enhanced glycemic control with combination therapy for type 2 diabetes in primary care. Diabetes Ther 2011; 2:162-77. [PMID: 22127825 PMCID: PMC3173597 DOI: 10.1007/s13300-011-0006-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2011] [Indexed: 01/14/2023] Open
Abstract
Type 2 diabetes mellitus is an increasingly common medical problem for primary care clinicians to address. Treatment of diabetes has evolved from simple replacement of insulin (directly or through insulin secretagogs) through capture of mechanisms such as insulin sensitizers, alpha-glucosidase inhibitors, and incretins. Only very recently has recognition of the critical role of the gastrointestinal system as a major culprit in glucose dysregulation been established. Since glycated hemoglobin A(1c) reductions provide meaningful risk reduction as well as improved quality of life, it is worthwhile to explore evolving paths for more efficient use of the currently available pharmacotherapies. Because diabetes is a progressive disease, even transiently successful treatment will likely require augmentation as the disorder progresses. Pharmacotherapies with complementary mechanisms of action will be necessary to achieve glycemic goals. Hence, clinicians need to be well informed about the various noninsulin alternatives that have been shown to be successful in glycemic goal attainment. This article reviews the benefits of glucose control, the current status of diabetes control, pertinent pathophysiology, available pharmacological classes for combination, limitations of current therapies, and suggestions for appropriate combination therapies, including specific suggestions for thresholds at which different strategies might be most effectively utilized by primary care clinicians.
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Affiliation(s)
- Louis Kuritzky
- Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, Florida, FL, 32605, USA,
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215
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Hardman TC, Dubrey SW. Development and potential role of type-2 sodium-glucose transporter inhibitors for management of type 2 diabetes. Diabetes Ther 2011; 2:133-45. [PMID: 22127823 PMCID: PMC3173594 DOI: 10.1007/s13300-011-0004-1] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2010] [Indexed: 12/25/2022] Open
Abstract
There is a recognized need for new treatment options for type 2 diabetes mellitus (T2DM). Recovery of glucose from the glomerular filtrate represents an important mechanism in maintaining glucose homeostasis and represents a novel target for the management of T2DM. Recovery of glucose from the glomerular filtrate is executed principally by the type 2 sodium-glucose cotransporter (SGLT2). Inhibition of SGLT2 promotes glucose excretion and normalizes glycemia in animal models. First reports of specifically designed SGLT2 inhibitors began to appear in the second half of the 1990s. Several candidate SGLT2 inhibitors are currently under development, with four in the later stages of clinical testing. The safety profile of SGLT2 inhibitors is expected to be good, as their target is a highly specific membrane transporter expressed almost exclusively within the renal tubules. One safety concern is that of glycosuria, which could predispose patients to increased urinary tract infections. So far the reported safety profile of SGLT2 inhibitors in clinical studies appears to confirm that the class is well tolerated. Where SGLT2 inhibitors will fit in the current cascade of treatments for T2DM has yet to be established. The expected favorable safety profile and insulin-independent mechanism of action appear to support their use in combination with other antidiabetic drugs. Promotion of glucose excretion introduces the opportunity to clear calories (80-90 g [300-400 calories] of glucose per day) in patients that are generally overweight, and is expected to work synergistically with weight reduction programs. Experience will most likely lead to better understanding of which patients are likely to respond best to SGLT2 inhibitors, and under what circumstances.
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Affiliation(s)
- Timothy Colin Hardman
- Niche Science & Technology Ltd., London House, 243-253 Lower Mortlake Road, London, TW9 2LL, UK,
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216
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Kruger DF, Boucher JL, Banerji MA. Utilizing current diagnostic criteria and treatment algorithms for managing type 2 diabetes mellitus. Postgrad Med 2011; 123:54-62. [PMID: 21680989 DOI: 10.3810/pgm.2011.07.2304] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Within the past 2 years, the American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) and the American Association of Clinical Endocrinologists (AACE)/American College of Endocrinology (ACE) have revised their guidelines for the diagnosis and treatment of type 2 diabetes mellitus (T2DM). Both organizations recommend a diagnostic glycated hemoglobin (HbA1c) of >6.5% (based on a new appreciation of the relationship between glycemia and complications) and fasting plasma glucose levels or an oral glucose tolerance test. Findings from major trials of glucose control in patients with T2DM and the approval of novel medications have prompted revised treatment algorithms from both organizations. While both treatment guidelines recommend starting metformin in most patients on diagnosis of T2DM, they differ in terms of the "trigger" for treatment intensification (HbA1c≥7% and >6.5%, respectively) and which agents are preferred as second-line therapies. The ADA/EASD recommends a tiered approach to treatment, starting with well-validated second-line agents, such as sulfonylureas and basal insulin for patients unable to achieve target glucose levels with metformin. The AACE/ACE recommendations are based on the patient's HbA1c level and include a broader range of first- and second-line therapies and combinations. In addition to metformin, the ACCE/ACE treatment algorithm includes dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 agonists, thiazolidinediones, α-glucosidase inhibitors, sulfonylureas, and glinides. Both organizations advocate individualizing therapy to meet patient needs. This review highlights recent changes in the guidelines and uses a case-based format to illustrate how the current guidelines may be tailored to fit individual patient characteristics and circumstances.
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Affiliation(s)
- Davida F Kruger
- Henry Ford Medical Group, Division of Endocrinology, Diabetes, Bone and Mineral Disorders, Detroit, MI 48202, USA.
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217
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Gargiulo P, Marciano C, Savarese G, D'Amore C, Paolillo S, Esposito G, Santomauro M, Marsico F, Ruggiero D, Scala O, Marzano A, Cecere M, Casaretti L, Perrone Filardi P. Endothelial dysfunction in type 2 diabetic patients with normal coronary arteries: a digital reactive hyperemia study. Int J Cardiol 2011; 165:67-71. [PMID: 21851998 DOI: 10.1016/j.ijcard.2011.07.076] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2011] [Revised: 06/17/2011] [Accepted: 07/25/2011] [Indexed: 11/29/2022]
Abstract
BACKGROUND To assess endothelial function (EF) in type 2 diabetic patients with angiographically normal coronaries compared to diabetic patients with obstructive coronary artery disease (CAD) and to non-diabetic patients, with and without CAD. METHODS One hundred eighty-three patients undergoing coronary angiography were divided in: group 1 with diabetes mellitus (DM) and CAD (n = 58); group 2 with DM without CAD (n = 58); group 3 with CAD without DM (n = 31) and group 4 without CAD and DM (n = 36). EF was assessed by reactive hyperemia index (RHI) using a fingertip peripheral arterial tonometry and compared to values obtained in 20 healthy volunteers. RESULTS RHI was significantly lower in patients with DM compared to patients without DM (1.69 ± 0.38 vs 1.84 ± 0.44; p = 0.019). RHI was comparable among groups 1, 2 and 3, each value being significantly lower compared to group 4 (2 ± 0.44; p<0.001 vs group 1; p<0.005 vs group 2; p<0.002 vs group 3). At multivariate analysis DM and CAD were significant predictors of endothelial dysfunction (ED) (OR = 2.29; p = 0.012; OR = 2.76; p = 0.001, respectively), whereas diabetic patients (n = 116) CAD and glycated haemoglobin (HbA1c) were independent significant predictors of ED (OR = 3.05; p = 0.009; OR = 1.96; p = 0.004, respectively). Diabetic patients with ED (n = 67) had higher levels of HbA1c than diabetic patients with normal endothelial function (7.35 ± 0.97 vs 6.87 ± 0.90; p = 0.008) and RHI inversely correlated to HbA1c (p = 0.02; r = -0.210). CONCLUSIONS Diabetic patients with and without CAD show significantly impaired peripheral vascular function compared to non-diabetic patients without CAD. ED in diabetic patients without CAD is comparable to that of patients with CAD but without DM. HbA1c is a weak independent predictor of ED.
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Affiliation(s)
- Paola Gargiulo
- Department of Internal Medicine, Cardiovascular and Immunological Sciences, Federico II University, Naples, Italy
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218
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Polonsky WH, Fisher L, Schikman CH, Hinnen DA, Parkin CG, Jelsovsky Z, Axel-Schweitzer M, Petersen B, Wagner RS. A structured self-monitoring of blood glucose approach in type 2 diabetes encourages more frequent, intensive, and effective physician interventions: results from the STeP study. Diabetes Technol Ther 2011; 13:797-802. [PMID: 21568751 DOI: 10.1089/dia.2011.0073] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND We evaluated how a structured patient/physician self-monitoring of blood glucose (SMBG) intervention influenced the timing, frequency, and effectiveness of primary care physicians' treatment changes with type 2 diabetes mellitus (T2DM) patients over 12 months. METHODS The Structured Testing Program (STeP) study was a cluster-randomized, multicenter trial with 483 poorly controlled, insulin-naive T2DM subjects. Primary care practices were randomized to the Active Control Group (ACG) or the Structured Testing Group (STG), the latter of which included quarterly review of structured SMBG results. STG patients used a paper tool that graphs seven-point glucose profiles over 3 consecutive days; physicians received a treatment algorithm based on SMBG patterns. Impact of structured SMBG on physician treatment modification recommendations (TMRs) and glycemic outcomes was examined. RESULTS More STG than ACG patients received a TMR at each study visit (P < 0.0001). Of patients who received at least one TMR, STG patients demonstrated a greater reduction in glycated hemoglobin A1c (HbA1c) than ACG patients (-1.2% vs. -0.8%, P < 0.03). Patients with a baseline HbA1c ≥8.5% who received a TMR at the Month 1 visit experienced greater reductions in HbA1c (P = 0.002) than patients without an initial TMR. More STG than ACG patients were started on incretins (P < 0.01) and on thiazolidinediones (P = 0.004). The number of visits with a TMR was unrelated to HbA1c change over time. CONCLUSIONS Patient-provided SMBG data contribute to glycemic improvement when blood glucose patterns are easy to detect, and well-trained physicians take timely action. Collaborative use of structured SMBG data leads to earlier, more frequent, and more effective TMRs for poorly controlled, non-insulin-treated T2DM subjects.
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Affiliation(s)
- William H Polonsky
- University of California, San Diego, and Behavioral Diabetes Institute, San Diego, California, USA
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219
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De Hert M, Vancampfort D, Correll CU, Mercken V, Peuskens J, Sweers K, van Winkel R, Mitchell AJ. Guidelines for screening and monitoring of cardiometabolic risk in schizophrenia: systematic evaluation. Br J Psychiatry 2011; 199:99-105. [PMID: 21804146 DOI: 10.1192/bjp.bp.110.084665] [Citation(s) in RCA: 140] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Metabolic and cardiovascular health problems have become a major focus for clinical care and research in schizophrenia. AIMS To evaluate the content and quality of screening guidelines for cardiovascular risk in schizophrenia. METHOD Systematic review and quality assessment of guidelines/recommendations for cardiovascular risk in people with schizophrenia published between 2000 and 2010, using the Appraisal of Guidelines for Research and Evaluation (AGREE). RESULTS The AGREE domain scores varied between the 18 identified guidelines. Most guidelines scored best on the domains 'scope and purpose' and 'clarity of presentation'. The domain 'rigour of development' was problematic in most guidelines, and the domains 'stakeholder involvement' and 'editorial independence' scored the lowest. The following measurements were recommended (in order of frequency): fasting glucose, body mass index, fasting triglycerides, fasting cholesterol, waist, high-density lipoprotein/low-density lipoprotein, blood pressure and symptoms of diabetes. In terms of interventions, most guidelines recommended advice on physical activity, diet, psychoeducation of the patient, treatment of lipid abnormalities, treatment of diabetes, referral for advice and treatment, psychoeducation of the family and smoking cessation advice. Compared across all domains and content, four European guidelines could be recommended. CONCLUSIONS Four of the evaluated guidelines are of good quality and should guide clinicians' screening and monitoring practices. Future guideline development could be improved by increasing its rigour and assuring user and patient involvement.
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Affiliation(s)
- M De Hert
- University Psychiatric Centre, KU Leuven, campus Kortenberg Leuvensesteenweg 517, 3070 Kortenberg, Belgium.
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220
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Ye Z, Chen L, Yang Z, Li Q, Huang Y, He M, Zhang S, Zhang Z, Wang X, Zhao W, Hu J, Liu C, Qu S, Hu R. Metabolic effects of fluoxetine in adults with type 2 diabetes mellitus: a meta-analysis of randomized placebo-controlled trials. PLoS One 2011; 6:e21551. [PMID: 21829436 PMCID: PMC3145630 DOI: 10.1371/journal.pone.0021551] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2011] [Accepted: 06/01/2011] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The prevalence of obesity and diabetes is increasing dramatically throughout the world. Studies have shown that excess adiposity is a critical predictor of new onset T2DM. This meta-analysis is aimed to assess the metabolic effects of fluoxetine in T2DM. METHODS AND FINDINGS Electronic search was conducted in the database Medline, PubMed, EMBASE, and the Cochrane library, from inception through to March 2011. A systematic review of the studies on the metabolic effects of fluoxetine in T2DM was performed. The weighted mean difference (WMD) and its 95% CI were calculated from the raw data extracted from the original literature. The software Review Manager (version 4.3.1) and Stata (version 11.0) were applied for meta-analysis. Five randomized, placebo-controlled trials were included in the meta-analysis. According to WMD calculation, fluoxetine therapy led to 4.27 Kg of weight loss (95%CI 2.58-5.97, P<0.000 01), 1.41 mmol/L of fasting plasma glucose (FPG) decrement (95%CI 0.19-2.64, P = 0.02) and 0.54 mmol/L of triglyceride (TG) reduction (95%CI 0.35-0.73, P<0.000 01) compared with placebo. Moreover, fluoxetine therapy produced 0.78% of HbA1c decrement (95%CI -0.23-1.78). However, this effect was not statistically significant (P = 0.13). CONCLUSIONS Short period of fluoxetine therapy can lead to weight loss as well as reduction of FPG, HbA1c and TG in T2DM.
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Affiliation(s)
- Zi Ye
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lili Chen
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhen Yang
- Department of Endocrinology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qin Li
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Huang
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Min He
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shuo Zhang
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhaoyun Zhang
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xuanchun Wang
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weiwei Zhao
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ji Hu
- Department of Endocrinology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Shen Qu
- Department of Endocrinology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Renming Hu
- Institute of Endocrinology and Diabetology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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221
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Meyers JL, Candrilli SD, Kovacs B. Type 2 diabetes mellitus and renal impairment in a large outpatient electronic medical records database: rates of diagnosis and antihyperglycemic medication dose adjustment. Postgrad Med 2011; 123:133-43. [PMID: 21566423 DOI: 10.3810/pgm.2011.05.2291] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To assess rates of diagnosis and antihyperglycemic dose adjustment in patients with moderate to end-stage renal impairment (RI) and type 2 diabetes mellitus (T2DM). METHODS Retrospective database analysis using GE Centricity Outpatient Electronic Medical Records. Patients aged ≥ 18 years with evidence of T2DM (International Classification of Diseases, Ninth Edition, Clinical Modification codes 250.x0 and 250.x2) between January 1, 2000 and June 30, 2009, and ≥ 12 months of data after identification were selected. Moderate to end-stage RI was evaluated using a formula-derived estimated glomerular filtration rate (eGFR) based on serum creatinine (SCr). Patients were classified as moderate (eGFR, 30-59 mL/min/1.73 m(2)), severe (eGFR, 15-29 mL/min/1.73 m(2)), or end-stage (eGFR, < 15 mL/min/1.73 m(2)), per the National Kidney Foundation guidelines, based on the first-observed SCr test. Among patients with a physician diagnosis, the time to diagnosis was reported. Dose adjustment was reported for patients receiving metformin and sitagliptin. Predictors of progression to end-stage RI based on logistic regressions were examined. RESULTS 35.2% of patients with T2DM had evidence of moderate to end-stage RI. Of these patients, 20% had a chart-documented physician diagnosis (range, 16% [moderate RI] to 66% [end-stage RI]). Patients with moderate or severe RI had a physician diagnosis mean of 253.4 (standard deviation [SD], 584.5) and 86.9 (SD, 417.4) days, respectively, after the eGFR calculation indicating RI. Patients with end-stage RI had a physician diagnosis mean of 83.6 (SD, 399.2) days before the eGFR calculation. After the eGFR calculation, 15.1% and 0.1% of patients with orders for sitagliptin and metformin, respectively, received doses of the drug appropriate for their degree of RI. Among patients with moderate or severe RI, appropriate diagnosis of RI was associated with significantly lower odds of progressing to end-stage RI (odds ratio, 0.200; 95% confidence interval, 0.188-0.213). CONCLUSIONS Renal impairment is common but often undetected in patients with T2DM. Patients with a documented RI diagnosis have lower odds of progression to end-stage RI. Metformin and sitagliptin are frequently used at inappropriate doses in patients with RI. Further analyses to understand the clinical and economic consequences of these findings are needed.
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Affiliation(s)
- Juliana L Meyers
- Health Economics, RTI Health Solutions, Research Triangle Park, NC 27709, USA.
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222
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McGowan MP. Polycystic ovary syndrome: a common endocrine disorder and risk factor for vascular disease. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2011; 13:289-301. [PMID: 21562798 DOI: 10.1007/s11936-011-0130-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OPINION STATEMENT Polycystic ovary syndrome (PCOS) is the most common endocrinopathy among women of reproductive age, impacting 5-10% of premenopausal American women. During the reproductive years, women with PCOS seek medical attention related to infertility, hirsutism, and acne. About 60% of women with PCOS are obese and insulin resistant. Up to 40% of women with PCOS will develop diabetes by the age of 50 and many are dyslipidemic. In addition to treating the cosmetic and fertility issues associated with PCOS, health care providers must educate patients regarding the long-term cardiovascular consequences associated the this disorder. At menopause, a woman with PCOS is likely to have had multiple cardiac risk factors for several decades. Postmenopausal women with a history of PCOS, especially those with established diabetes and/or dyslipidemia, should be considered at high risk for the development of clinical cardiac disease. Exercise and a prudent calorie-restricted diet aimed at weight loss must be stressed early. Pharmacologic therapy for diabetes and hyperlipidemia should be used when appropriate. Bariatric surgery, known to positively impact all the aforementioned cardiac risk factors, may also be of benefit.
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Affiliation(s)
- Mary P McGowan
- MEDPACE, Clinical Pharmacology, 4685 Forest Ave., Cincinnati, OH, 45212, USA,
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223
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Handelsman Y, Jellinger PS. Overcoming Obstacles in Risk Factor Management in Type 2 Diabetes Mellitus. J Clin Hypertens (Greenwich) 2011; 13:613-20. [DOI: 10.1111/j.1751-7176.2011.00490.x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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224
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Drozda J, Messer JV, Spertus J, Abramowitz B, Alexander K, Beam CT, Bonow RO, Burkiewicz JS, Crouch M, Goff DC, Hellman R, James T, King ML, Machado EA, Ortiz E, O'Toole M, Persell SD, Pines JM, Rybicki FJ, Sadwin LB, Sikkema JD, Smith PK, Torcson PJ, Wong JB. ACCF/AHA/AMA–PCPI 2011 Performance Measures for Adults With Coronary Artery Disease and Hypertension. Circulation 2011; 124:248-70. [DOI: 10.1161/cir.0b013e31821d9ef2] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | - Joseph Drozda
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Joseph V. Messer
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - John Spertus
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | | | - Karen Alexander
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Craig T. Beam
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Robert O. Bonow
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Jill S. Burkiewicz
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Michael Crouch
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - David C. Goff
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Richard Hellman
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | | | - Marjorie L. King
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Edison A. Machado
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | | | | | | | - Jesse M. Pines
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Frank J. Rybicki
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | | | - Joanna D. Sikkema
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Peter K. Smith
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
| | - Patrick J. Torcson
- ACCF/AHA Representative. Recused from voting on Measures 3 and 4. American Geriatrics Society Representative. American Heart Association Consumer Council Representative. American Society of Health-System Pharmacists Representative. American Academy of Family Physicians Representative. ACCF/AHA Task Force on Performance Measures Liaison. American Association of Clinical Endocrinologists Representative. American Association of Cardiovascular and Pulmonary Rehabilitation Representative. Involved in
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Frias JP, Bode BW, Bailey TS, Kipnes MS, Brunelle R, Edelman SV. A 16-week open-label, multicenter pilot study assessing insulin pump therapy in patients with type 2 diabetes suboptimally controlled with multiple daily injections. J Diabetes Sci Technol 2011; 5:887-93. [PMID: 21880230 PMCID: PMC3192594 DOI: 10.1177/193229681100500410] [Citation(s) in RCA: 18] [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] [Indexed: 11/17/2022]
Abstract
BACKGROUND We assessed the efficacy, safety, and patient-reported outcomes (PROs) of insulin pump therapy in patients with type 2 diabetes mellitus (T2DM) who were suboptimally controlled with a multiple daily injection (MDI) regimen. METHODS In this subanalysis of a 16-week multicenter study, 21 insulin-pump-naïve patients [age 57 ± 13 years, hemoglobin A1c (A1C) 8.4 ± 1.0%, body weight 98 ± 20 kg, total daily insulin dose 99 ± 65 U, mean ± standard deviation] treated at baseline with MDI therapy with or without oral antidiabetic agents discontinued all diabetes medications except metformin and initiated insulin pump therapy. Insulin was titrated to achieve the best possible glycemic control with the simplest possible dosing regimen. Outcome measures included A1C, fasting and postprandial glucose, body weight, incidence of hypoglycemia, and PROs. RESULTS Glycemic control improved significantly after 16 weeks: A1C 7.3 ± 1.0% (-1.1 ± 1.2%, p < .001), fasting glucose 133 ± 33 mg/dl (-32 ± 74 mg/dl, p < .005), and postprandial glucose 153 ± 35 mg/dl (-38 ± 46 mg/dl, p < .001). At week 16, the mean daily basal, bolus, and total insulin doses were 66 ± 36, 56 ± 40, and 122 ± 72 U (1.2 U/kg), respectively, and 90% of patients were treated with two or fewer daily basal rates. Body weight increased by 2.8 ± 2.6 kg (p < .001). Mild hypoglycemia was experienced by 81% of patients at least once during the course of the study with no episodes of severe hypoglycemia. There were significant improvements in PRO measures. CONCLUSIONS Insulin pump therapy using a relatively simple dosing regimen safely improved glucose control and PROs in patients with T2DM who were unable to achieve glycemic targets with MDI therapy. Controlled trials are needed to further assess the clinical benefits and cost-effectiveness of insulin pumps in this patient population.
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Affiliation(s)
- Juan P Frias
- University of California, San Diego, San Diego, California 92161, USA
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226
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Griesdale DEG, Tremblay MH, McEwen J, Chittock DR. Glucose control and mortality in patients with severe traumatic brain injury. Neurocrit Care 2011; 11:311-6. [PMID: 19636972 DOI: 10.1007/s12028-009-9249-1] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION The optimal glucose range in patients with severe traumatic brain injury (TBI) remains unclear. The goal of this study was to examine the association of serum glucose levels on mortality in patients with severe TBI. As a secondary endpoint, we determined the risk of hyperglycemic and hypoglycemic events, and their association with mortality. METHODS We conducted a retrospective cohort study of patients admitted to the ICU between May 2000 and March 2006 with severe TBI (Glasgow Coma Scale ≤ 8) who survived at least 12 h. Average daily morning glucose levels for the first 10 days of admission were calculated and divided into quintiles. RESULTS A total of 170 patients were included in the analysis. We found no association between quintiles of mean daily morning glucose and hospital mortality. Episodes of hyperglycemia ( ≥ 11.1 mmol/l or 200 mg/dl) during the first 10 days occurred in 65% of patients (5.4% of all glucose measurements). Using multivariable regression, a single episode of hyperglycemia was associated with 3.6-fold increased risk of hospital mortality (95%CI: 1.2-11.2, P = 0.02). Hypoglycemia ( ≤ 4.4 mmol/l or 80 mg/dl) was present in 48% of patients (4.3% of all glucose measurements), and was not associated with mortality. CONCLUSION Any episode of hyperglycemia ( ≥ 11.1 mmol/l or 200 mg/dl) was associated with 3.6-fold increased risk of hospital mortality in patients with severe TBI and thus, should be avoided. Maintaining serum glucose ≤ 10 mmol/l appears to be a reasonable balance to avoid extremes of glucose control, but further studies are needed to determine the optimal glucose range.
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Affiliation(s)
- Donald E G Griesdale
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
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de Sa VCT, Ferraz AA, Campos JM, Ramos AC, Araujo JGC, Ferraz EM. Gastric bypass in the treatment of type 2 diabetes in patients with a BMI of 30 to 35 kg/m2. Obes Surg 2011; 21:283-7. [PMID: 21153449 DOI: 10.1007/s11695-010-0318-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) and class I obesity, which are pandemics of considerable socioeconomic importance, require new treatment modalities due to inadequate control through normal clinical conduct. The aim of the present study was to assess the efficacy and safety of Roux-en-Y gastric bypass (RYGB) in the control of T2DM in patients with a body mass index (BMI) of 30 to 35 kg/m(2). METHODS An observational, retrospective study was carried out at the Universidade Federal de Pernambuco-Brazil. Between 2002 and 2008, 27 patients were submitted to RYGB for the treatment of uncontrolled T2DM, with a mean follow-up period of 20 months. An assessment was performed of the complete resolution of T2DM [HbA(1c) < 6%/fasting plasma glucose (FPG) < 100 mg/dL/no diabetes medication] and glycemic control. The ethics committee of the university approved the study. RESULTS RYGB led to the following results: (1) 23% weight reduction (p < 0.001), BMI stabilized at 25.6 kg/m(2) in a mean of 12 months; (2) 46% reduction in glycemia and 27% reduction in HbA(1c) (p < 0.001); (3) 100% improvement in glycemia and 48% resolution of T2DM; (4) glycemic control was 74% without medication and 93% with medication and five patients required medication in addition to RYGB; (5) mean current FPG is 93 mg/dL and HbA(1c) is 6%; and (6) there were no severe complications or deaths. CONCLUSIONS RYGB is a safe and effective option in the treatment of uncompensated T2DM associated to class I obesity.
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Ribeireiro T, Swain J, Sarr M, Kendrick M, Que F, Sanderson S, Krishnan A, Viker K, Watt K, Charlton M. NAFLD and insulin resistance do not increase the risk of postoperative complications among patients undergoing bariatric surgery--a prospective analysis. Obes Surg 2011; 21:310-5. [PMID: 20922498 DOI: 10.1007/s11695-010-0228-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) and insulin resistance are common consequences of obesity and are highly prevalent among patients undergoing bariatric surgery. Insulin resistance and NAFLD have been reported to be associated with postoperative complications following major surgery. METHODS We prospectively evaluated complications in a cohort of 437 consecutive patients undergoing bariatric surgery. Detailed metabolic profile was obtained prior to surgery, and liver biopsies were taken routinely during surgery. RESULTS Mean age was 47.8 years (20-77), and mean body mass index (BMI) was 48.5 kg/m(2) (32-94). Common co-morbid conditions were metabolic syndrome (79%), obstructive sleep apnea (73%), and hypertension (60%). Seventy-seven percent underwent Roux-en-Y gastric bypass, 15% biliopancreatic diversion with duodenal switch, and 8% adjustable gastric banding. The operative approach was laparoscopic in 81% of patients. Liver histology was normal in 22% of patients. Seventy-eight percent of patients had NAFLD. Nonalcoholic steatohepatitis (NASH) was present in 18%. Advanced fibrosis (stage 3-4) was present in 5%. Complications were observed in 25% of the cohort, the most frequent being infection, occurring in 14%. The wound was the most frequent site of infection (9%). There were no cases of postoperative hepatic decompensation. Reoperation was necessary in 7%. In univariate analysis, the factors associated with complications were male gender (p = 0.009), type and approach of surgery (p = 0.023 and p = 0.0001, respectively), BMI (p = 0.000), serum creatinine (p = 0.023), and serum albumin (p = 0.0001). In multivariate analysis, the independent factors associated with complications in bariatric surgery were BMI (OR 1.039, 95% CI 1.010-1.068; p = 0.008), surgical approach (OR 2.696, 95% CI 1.547-4.698; p = 0.000), and serum albumin (OR 0.416, 95% CI 0.176-0.978; p = 0.044). NASH was not predictive of complications. CONCLUSIONS Bariatric surgery is a safe and efficient treatment for obesity. The occurrence of NAFLD or NASH without portal hypertension should not preclude the procedure.
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Affiliation(s)
- Tarsila Ribeireiro
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
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Drozda J, Messer JV, Spertus J, Abramowitz B, Alexander K, Beam CT, Bonow RO, Burkiewicz JS, Crouch M, Goff DC, Hellman R, James T, King ML, Machado EA, Ortiz E, O'Toole M, Persell SD, Pines JM, Rybicki FJ, Sadwin LB, Sikkema JD, Smith PK, Torcson PJ, Wong JB. ACCF/AHA/AMA-PCPI 2011 performance measures for adults with coronary artery disease and hypertension: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures and the American Medical Association-Physician Consortium for Performance Improvement. J Am Coll Cardiol 2011; 58:316-36. [PMID: 21676572 DOI: 10.1016/j.jacc.2011.05.002] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Cabré JJ, Ripoll M, Hernández JM, Basora J, Bejarano F, Arija V. Safety during the monitoring of diabetic patients: trial teaching course on health professionals and diabetics - SEGUDIAB study. BMC Public Health 2011; 11:430. [PMID: 21639938 PMCID: PMC3120687 DOI: 10.1186/1471-2458-11-430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2011] [Accepted: 06/05/2011] [Indexed: 11/24/2022] Open
Abstract
Background Safety for diabetic patients means providing the most suitable treatment for each type of diabetic in order to improve monitoring and to prevent the adverse effects of drugs and complications arising from the disease. The aim of this study is to analyze the effect of imparting educational interventions to health professionals regarding the safety of patients with Diabetes Mellitus (DM). Methods Design: A cluster randomized trial with a control group. Setting and sample: The study analyzed ten primary healthcare centres (PHC) covering approximately 150,000 inhabitants. Two groups of 5 PHC were selected on the basis of their geographic location (urban, semi-urban and rural), their socio-economic status and the size of their PHC, The interventions and control groups were assigned at random. The study uses computerized patient records to individually assess subjects aged 45 to 75 diagnosed with type 1 and type 2 DM, who met the inclusion conditions and who had the variables of particular interest to the study. Trial: The educational interventions consisted of a standardized teaching course aimed at doctors and nurses. The course lasted 6 hours and was split into three 2-hour blocks with subsequent monthly refresher courses. Measurement: For the health professionals, the study used the Diabetes Attitude Scale (DAS-3) to assess their attitudes and motivation when monitoring diabetes. For the patients, the study assessed factors related to their degree of control over the disease at onset, 6, 12 and 24 months. Main variables: levels of HbA1c. Analysis: The study analyzed the effect of the educational interventions both on the attitudes and motivations of health professionals and on the degree of control over the diabetes in both groups. Discussion Imparting educational interventions to health professionals would improve the monitoring of diabetic patients. The most effective model involves imparting the course to both doctors and nurses. However, these models have not been tested on our Spanish population within the framework of primary healthcare. Trial registration ClinicalTrials.gov: NCT01087541
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Affiliation(s)
- Juan J Cabré
- Atención Primaria Reus-Altebrat, Institut Català de la Salut, Tarragona, Spain
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Salem JK, Jones RR, Sweet DB, Hasan S, Torregosa-Arcay H, Clough L. Improving care in a resident practice for patients with diabetes. J Grad Med Educ 2011; 3:196-202. [PMID: 22655142 PMCID: PMC3184903 DOI: 10.4300/jgme-d-10-00113.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2010] [Revised: 09/17/2010] [Accepted: 12/21/2010] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Curricular redesign and introduction of the Chronic Care Model in our residency clinic during 2005-2007 achieved limited success in glycemic (glycated hemoglobin level [A(1c)]), lipid (low-density lipoprotein fraction [LDL]), and blood pressure (BP) control for patients with diabetes. INTERVENTION Beginning in January 2008, ancillary staff performed previsit, protocol-driven reviews of medical records of patients with diabetes to identify those not at A(1c), LDL, and BP goals; inserted electronic prompts into the records regarding deficiencies; and obtained samples for A(1c) or lipid panel when needed. Faculty feedback regarding resident-specific panel reviews was added in May 2008, and point-of-care A(1c) testing was implemented in February 2009. METHODS We conducted a 2-year retrospective study of all patients at our facility with diabetes mellitus, who had at least 1 visit during January to June 2008 (baseline) and 1 visit during July to December 2009 (follow-up). Measures included the most current A(1c), LDL, and BP results. Paired outcome results were compared using the McNemar χ(2) test. RESULTS A total of 522 patients with diabetes mellitus were seen during the baseline and follow-up periods, and 456 patients (87.4%) had paired A(1c) results, with A(1c) < 7.0% for 138 of 456 patients (30.3%) at baseline and 166 of 456 patients (36.4%) at follow-up (P = .011). For LDL, 460 patients (88.1%) had paired results, with LDL < 100 mg/dL for 225 of 460 patients (48.9%) at baseline and 262 of 460 patients (57.0%) at follow-up (P = .004). A total of 513 patients (98.3%) had paired BP results in which the BP < 130/80 mm Hg for 124 of 513 patients (24.2%) at baseline and for 188 of 513 patients (36.6%) at follow-up (P < .001). There were 421 patients (80.7%) with paired results for all 3 measures, with 17 of 421 patients (4.0%) at goal at baseline and 41 of 421 patients (9.7%) at goal at follow-up (P = .001). CONCLUSION The interventions resulted in statistically significant improvements in the proportion of patients with diabetes who attained goal for A(1c), LDL, and BP levels. Our redesign elements may be useful in enhancing resident education and in improving patient care.
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Ampudia-Blasco FJ, Rossetti P, Ascaso JF. Basal plus basal-bolus approach in type 2 diabetes. Diabetes Technol Ther 2011; 13 Suppl 1:S75-83. [PMID: 21668340 DOI: 10.1089/dia.2011.0001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Type 2 diabetes is characterized by insulin resistance and progressive β-cell deterioration. As β-cell function declines, most patients with type 2 diabetes treated with oral agents, in monotherapy or combination, will require insulin therapy. Addition of basal insulin (glargine, detemir, or NPH/neutral protamine lispro insulin) to previous treatment is accepted as the simplest way to start insulin therapy in those patients. But even when basal insulin is adequately titrated, some patients will also need prandial insulin to achieve or maintain individual glycemic targets over time. Starting with premixed insulin is an effective option, but it is frequently associated with increased hypoglycemia risk, fixed meal schedules, and weight gain. As an alternative, a novel approached known as "basal plus strategy" has been developed. This approach considers the addition of increasing injections of prandial insulin, beginning with the meal that has the major impact on postprandial glucose values. Finally, if this is not enough intensification to basal-bolus will be necessary. In reducing hyperglycemia, this modality still remains the most effective option, even in people with type 2 diabetes. This article will review the currently evidence on the basal plus strategy and also its progression to basal-bolus therapy. In addition, practical recommendations to start and adjust basal plus therapy will be provided.
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Affiliation(s)
- F Javier Ampudia-Blasco
- Diabetes Reference Unit, Endocrinology and Nutrition Department, Clinic University Hospital of Valencia, Valencia, Spain.
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Huang ES, Liu JY, Moffet HH, John PM, Karter AJ. Glycemic control, complications, and death in older diabetic patients: the diabetes and aging study. Diabetes Care 2011; 34:1329-36. [PMID: 21505211 PMCID: PMC3114320 DOI: 10.2337/dc10-2377] [Citation(s) in RCA: 258] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To identify the range of glycemic levels associated with the lowest rates of complications and mortality in older diabetic patients. RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study (2004-2008) of 71,092 patients with type 2 diabetes, aged ≥60 years, enrolled in Kaiser Permanente Northern California. We specified Cox proportional hazards models to evaluate the relationships between baseline glycated hemoglobin (A1C) and subsequent outcomes (nonfatal complications [acute metabolic, microvascular, and cardiovascular events] and mortality). RESULTS The cohort (aged 71.0 ± 7.4 years [means ± SD]) had a mean A1C of 7.0 ± 1.2%. The risk of any nonfatal complication rose monotonically for levels of A1C >6.0% (e.g., adjusted hazard ratio 1.09 [95% CI 1.02-1.16] for A1C 6.0-6.9% and 1.86 [1.63-2.13] for A1C ≥11.0%). Mortality had a U-shaped relationship with A1C. Compared with the risk with A1C <6.0%, mortality risk was lower for A1C levels between 6.0 and 9.0% (e.g., 0.83 [0.76-0.90] for A1C 7.0-7.9%) and higher at A1C ≥11.0% (1.31 [1.09-1.57]). Risk of any end point (complication or death) became significantly higher at A1C ≥8.0%. Patterns generally were consistent across age-groups (60-69, 70-79, and ≥80 years). CONCLUSIONS Observed relationships between A1C and combined end points support setting a target of A1C <8.0% for older patients, with the caution that A1Cs <6.0% were associated with increased mortality risk. Additional research is needed to evaluate the low A1C-mortality relationship, as well as protocols for individualizing diabetes care.
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Affiliation(s)
- Elbert S Huang
- Section of General Internal Medicine, University of Chicago, Chicago, Illinois, USA.
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Grossman S. Management of type 2 diabetes mellitus in the elderly: role of the pharmacist in a multidisciplinary health care team. J Multidiscip Healthc 2011; 4:149-54. [PMID: 21655341 PMCID: PMC3104686 DOI: 10.2147/jmdh.s21111] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2011] [Indexed: 12/26/2022] Open
Abstract
Intensive glycemic control using insulin therapy may be appropriate for many healthy older adults to reduce premature mortality and morbidity, improve quality of life, and reduce health care costs. However, frail elderly people are more prone to develop complications from hypoglycemia, such as confusion and dementia. Overall, older persons with type 2 diabetes mellitus are at greater risk of death from cardiovascular disease (CVD) than from intermittent hyperglycemia; therefore, diabetes management should always include CVD prevention and treatment in this patient population. Pharmacists can provide a comprehensive medication review with subsequent recommendations to individualize therapy based on medical and cognitive status. As part of the patient’s health care team, pharmacists can provide continuity of care and communication with other members of the patient’s health care team. In addition, pharmacists can act as educators and patient advocates and establish patient-specific goals to increase medication effectiveness, adherence to a medication regimen, and minimize the likelihood of adverse events.
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Affiliation(s)
- Samuel Grossman
- Department of Veterans Affairs, New York Harbor Healthcare System, New York, NY, USA; Diabetes Care On-The-Go Inc, Brooklyn, NY, USA; Hunter-Bellevue School of Nursing, Hunter College, City University of New York, New York, NY, USA; Arnold and Marie Schwartz College of Pharmacy of Long Island University, Brooklyn, NY, USA; Garden State Association of Diabetes Educators, Edison, NJ, USA
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Younk LM, Mikeladze M, Davis SN. Pramlintide and the treatment of diabetes: a review of the data since its introduction. Expert Opin Pharmacother 2011; 12:1439-51. [PMID: 21564002 DOI: 10.1517/14656566.2011.581663] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Postprandial glucose excursions negatively affect glycemic control and markers of cardiovascular health. Pramlintide, an amylinomimetic, is approved for treatment of elevated postprandial glucose levels in type 1 and type 2 diabetes mellitus. AREAS COVERED A literature search of PubMed was conducted to locate articles (up to January 2011) pertaining to original preclinical and clinical research and reviews of amylin and pramlintide. Additional sources were selected from reference lists within articles obtained through the original literature search and from the internet. This article describes the known effects of endogenous amylin and the pharmacodynamics, pharmacokinetics and clinical efficacy of pramlintide. Drug-drug interactions and safety and tolerability are also reviewed. EXPERT OPINION Pramlintide significantly reduces hemoglobin A(1c) and body weight in patients with type 1 and type 2 diabetes mellitus. Newer research is focusing on weight loss effects of pramlintide and pramlintide plus metreleptin in nondiabetic obese individuals. Preliminary results of these studies are discussed.
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Affiliation(s)
- Lisa M Younk
- University of Maryland School of Medicine, Department of Medicine, Baltimore, MD 21201 USA
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Albisser AM, Inhaber F. Automation of the consensus guidelines in diabetes care: potential impact on clinical inertia. Endocr Pract 2011; 16:992-1002. [PMID: 20570811 DOI: 10.4158/ep10124.or] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To propose that automation of the consensus guidelines and mandated targets (CG&MT) in glycemia, hemoglobin A1c, and body weight will facilitate optimal clinical management of patients with diabetes. METHODS (1) A simplified method for capturing diabetes outcomes at home was devised, (2) relevant portions of the CG&MT were translated into computer code and automated, and (3) algorithms were applied to transform data from self-monitoring of blood glucose into circadian profiles and hemoglobin A1c levels. (4) The resulting procedures were integrated into a USB memory drive for use by health-care providers at the point of care. RESULTS For input from patients, a simple form is used to capture data on diabetes outcomes, including blood glucose measurements before and after meals and at bedtime, medication, and lifestyle events in a structured fashion. At each encounter with a health-care provider, the patient's data are transferred into the device and become available to assist in identifying deviations from mandated targets, potential risks of hypoglycemia, and necessary prescription changes. Preliminary observations during a 2 1/2-year period from a community support group dedicated to glycemic control on 20 unselected patients (10 with and 10 without use of the device) are summarized. CONCLUSION With use of the automated information, the health professional is supported at the point of care to achieve better, safer outcomes and practice evidence-based medicine entirely in lockstep with the CG&MT. This automation helps to overcome clinical inertia.
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Bakris GL. Recognition, pathogenesis, and treatment of different stages of nephropathy in patients with type 2 diabetes mellitus. Mayo Clin Proc 2011; 86:444-56. [PMID: 21531886 PMCID: PMC3084647 DOI: 10.4065/mcp.2010.0713] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Nephropathy is a common microvascular complication among patients with type 2 diabetes mellitus and a major cause of kidney failure. It is characterized by albuminuria (≥ 300 mg/d) and a reduced glomerular filtration rate and is often present at the time of diabetes diagnosis after the kidney has been exposed to chronic hyperglycemia during the prediabetic phase. A low glomerular filtration rate (<60 mL/min/1.73 m(2)) is also an independent risk factor for cardiovascular events and death. Detection of diabetic nephropathy during its initial stages provides the opportunity for early therapeutic interventions to prevent or delay the onset of complications and improve outcomes. An intensive and multifactorial management approach is needed that targets all risk determinants simultaneously. The strategy should comprise lifestyle modifications (smoking cessation, weight loss, increased physical activity, and dietary changes) coupled with therapeutic achievement of blood glucose, blood pressure, and lipid goals that are evidence-based. Prescribing decisions should take into account demographic factors, level of kidney impairment, adverse effects, risk of hypoglycemia, tolerability, and effects on other risk factors and comorbidities. Regular and comprehensive follow-up assessments with appropriate adjustment of the therapeutic regimen to maintain risk factor control is a vital component of care, including referral to specialists, when required.
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Affiliation(s)
- George L Bakris
- University of Chicago Pritzker School of Medicine, 5841 S Maryland Ave, Chicago, IL 60637, USA.
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Gonzalez AB, Salas D, Umpierrez GE. Special considerations on the management of Latino patients with type 2 diabetes mellitus. Curr Med Res Opin 2011; 27:969-79. [PMID: 21385020 DOI: 10.1185/03007995.2011.563505] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Latinos are the largest minority population in the United States, and are characterized by higher rates of obesity and diabetes compared to Whites. The prevalence of diagnosed diabetes in Latinos is two-fold higher than in Caucasians, and Latinos suffer from higher rates of diabetic complications and mortality. As the diabetes epidemic continues to expand and exert greater socioeconomic strain on national healthcare systems, the success of global and national healthcare initiatives for diabetes prevention and improvement of care will depend upon strategies targeted specifically toward this population. Essential to such strategies is an understanding of success factors unique to the Latino population for diabetes prevention and achievement of optimal treatment outcomes. METHODS A PubMed search was conducted for literature describing type 2 diabetes and its complications in Latinos. Specifically, we sought data describing epidemiology, disparities, management considerations, and success factors in this population. RESULTS The title search yielded more than 2000 articles, 80 of which were deemed directly relevant to this review. The inherent limitations of this subjective selection process are acknowledged. CONCLUSIONS A number of studies have highlighted various ethnic disparities in Latinos with diabetes including higher HbA1c levels, greater rates of obesity and metabolic syndrome, and a larger proportion of individuals with inadequate access to care. While relatively fewer studies describe success factors for redressing cultural disparities in diabetes, the current body of literature supports primary care strategies aimed at effective provider-patient relationships and culturally tailored education and lifestyle modification regimens. Further research demonstrating effective, culturally tailored practices that are suitable to the primary care setting would be of value to providers treating Latinos with diabetes.
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Teoh H, Home P, Leiter LA. Should A1C targets be individualized for all people with diabetes? Arguments for and against. Diabetes Care 2011; 34 Suppl 2:S191-6. [PMID: 21525454 PMCID: PMC3632160 DOI: 10.2337/dc11-s217] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Hwee Teoh
- Division of Cardiac Surgery, Keenan Research Center in the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Philip Home
- Newcastle Diabetes Center and Newcastle University, Newcastle upon Tyne, U.K
| | - Lawrence A. Leiter
- Division of Endocrinology and Metabolism, Keenan Research Center in the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
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Monami M, Cremasco F, Lamanna C, Marchionni N, Mannucci E. Predictors of response to dipeptidyl peptidase-4 inhibitors: evidence from randomized clinical trials. Diabetes Metab Res Rev 2011; 27:362-72. [PMID: 21309062 DOI: 10.1002/dmrr.1184] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
AIM Dipeptidyl peptidase-4 (DPP-4) inhibitors are used in the treatment of type 2 diabetes. Available sub-group analysis of clinical trials does not allow a clear identification of predictors of therapeutic response to these drugs. The aim of this study is the assessment of predictors of response to DPP-4 inhibitors. MATERIALS AND METHODS A meta-analysis was performed, exploring correlation between 24-week effects on HbA(1c) of maximal doses of DPP-4 inhibitors, compared either with placebo or with other active drugs, matches to baseline characteristics of patients enrolled in 63 randomized clinical trials, either published or unpublished but disclosed on different websites were studied. RESULTS DPP-4 inhibitors significantly reduce HbA(1c) at 24 weeks [by 0.6 (0.5-0.7)%] when compared with placebo; no difference in HbA(1c) was observed in comparisons with thiazolidinediones and α-glucosidase inhibitors, whereas sulfonylureas and metformin produced a greater reduction of HbA(1c) , at least in the short term. DPP-4 inhibitors produced a smaller weight gain than thiazolidinediones, and showed a lower hypoglycaemia risk than sulfonylureas. The placebo-subtracted effect of DPP-4 inhibitors on HbA(1c) was greater in older patients and in those with lower fasting plasma glucose at baseline. Similar results were obtained in comparisons with thiazolidinediones and metformin. CONCLUSIONS Although drugs for type 2 diabetes are studied in heterogeneous samples of patients, their efficacy can be predicted by some clinical parameters. DPP-4 inhibitors appear to be more effective in older patients with mild/moderate fasting hyperglycaemia. These data could be useful for a better definition of the profile of patients who are likely to benefit most from these drugs.
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Affiliation(s)
- Matteo Monami
- Diabetes Agency, University of Florence and Careggi Teaching Hospital, Florence, Italy
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Younk LM, Uhl L, Davis SN. Pharmacokinetics, efficacy and safety of aleglitazar for the treatment of type 2 diabetes with high cardiovascular risk. Expert Opin Drug Metab Toxicol 2011; 7:753-63. [PMID: 21521130 DOI: 10.1517/17425255.2011.579561] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
INTRODUCTION In preliminary clinical studies, aleglitazar, a new dual PPAR-α-γ agonist, has been demonstrated to improve hyperglycemia and dyslipidemia in patients with type 2 diabetes mellitus. This review will provide up-to-date information on the clinical safety and efficacy of aleglitazar, which is currently under Phase III clinical investigation for reduction of cardiovascular events in patients with type 2 diabetes and recent acute coronary syndrome. AREAS COVERED A PubMed literature search (January 1950 to February 2011) was conducted using the following search terms: aleglitazar, PPAR, PPAR α agonist, PPAR γ agonist and PPAR α/γ agonist. Additional articles were gathered using reference lists from sources obtained from the original literature search. This review summarizes available information pertaining to pharmacodynamics, pharmacokinetics, clinical studies and safety/tolerability of aleglitazar. The effects of this new drug are compared and contrasted with those of fibrates (PPAR-α agonists), thiazolidinediones (PPAR-γ agonists) and other dual PPAR-α-γ agonists. EXPERT OPINION Preliminary evidence from clinical studies with aleglitazar is promising, with reported improvements in glycemia, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, triglycerides, apolipoprotein B and blood pressure. However, PPAR-α- and -γ-associated side effects have been observed and additional large-scale, long-term clinical studies are necessary to better understand the clinical implications of these effects.
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Affiliation(s)
- Lisa M Younk
- University of Maryland School of Medicine, Department of Medicine, Baltimore, MD 21201, USA
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Abstract
AIMS To review the non-glycaemic effects of liraglutide, including potential improvements in body weight, systolic blood pressure (SBP) and pancreatic beta-cell function. KEY FINDINGS Liraglutide induced weight loss of around 2-3 kg compared with weight increases of 1-2 kg with active comparators such as insulin glargine, rosiglitazone and glimepiride. Exenatide demonstrated similar weight benefits to liraglutide, but the dipeptidyl peptidase-4 (DPP-4) inhibitors, sitagliptin, saxagliptin and vildagliptin, were weight neutral. Liraglutide was associated with decreases in SBP of 2-7 mmHg, whereas exenatide, vildagliptin and sitagliptin demonstrated SBP reductions of around 2-3 mmHg. Measures of pancreatic beta-cell function were improved with liraglutide vs. placebo, rosiglitazone and exenatide. However, DPP-4 inhibitors appear to have less effect on beta-cell function than glucagon-like peptide-1 (GLP-1) receptor agonists. CONCLUSIONS In addition to glycaemic control, liraglutide and the other incretin-based therapies offer additional non-glycaemic benefits to varying degrees. The ability of GLP-1 receptor agonists to provide modest, but clinically relevant improvements in body weight and SBP, and to potentially benefit beta-cell function make them an exciting therapeutic option for individuals with diabetes. In contrast, DPP-4 inhibitors are weight neutral and may have lesser benefits on beta-cell function.
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Affiliation(s)
- J B McGill
- Division of Endocrinology, Metabolism and Lipid Research, Washington University in St. Louis, St Louis, MO 63110, USA.
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246
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Abstract
Both glycemic control and adequate nutrition support impact the clinical outcome of hospitalized patients. Providing nutrition to malnourished patients using the enteral or parenteral route may increase the risk of hyperglycemia, especially in patients with diabetes. Hyperglycemia can be managed through the use of enteral tube feeds with reduced carbohydrate content or limiting the carbohydrate concentration in parenteral formulas. Judicious use of insulin or other glucose-lowering medications synchronized with appropriate nutrition support allows for optimal inpatient glycemic control.
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Affiliation(s)
- Michael A Via
- Division of Endocrinology and Metabolism, Beth Israel Medical Center, Albert Einstein College of Medicine, 55 East 34th Street, New York, NY 10016, USA.
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Zavrelova H, Hoekstra T, Alssema M, Welschen LMC, Nijpels G, Moll AC, de Vet HCW, Polak BCP, Dekker JM. Progression and regression: distinct developmental patterns of diabetic retinopathy in patients with type 2 diabetes treated in the diabetes care system west-friesland, the Netherlands. Diabetes Care 2011; 34:867-72. [PMID: 21447662 PMCID: PMC3064043 DOI: 10.2337/dc10-1741] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2010] [Accepted: 01/04/2011] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To identify distinct developmental patterns of diabetic retinopathy (DR) and assess the risk factor levels of patients in these clusters. RESEARCH DESIGN AND METHODS A cohort of 3,343 patients with type 2 diabetes mellitus (T2DM) monitored and treated in the Diabetes Care System West-Friesland, the Netherlands, was followed from 2 to 6 years. Risk factors were measured, and two-field fundus photographs were taken annually and graded according to the EURODIAB study group. Latent class growth modeling was used to identify distinct developmental patterns of DR over time. RESULTS Five clusters of patients with distinct developmental patterns of DR were identified: A, patients without any signs of DR (88.9%); B, patients with a slow regression from minimal background to no DR (4.9%); C, patients with a slow progression from minimal background to moderate nonproliferative DR (4.0%); D, patients with a fast progression from minimal or moderate nonproliferative to (pre)proliferative or treated DR (1.4%); and E, patients with persistent proliferative DR (0.8%). Patients in clusters A and B were characterized by lower risk factor levels, such as diabetes duration, HbA(1c), and systolic blood pressure compared with patients in progressive clusters (C-E). CONCLUSIONS Clusters of patients with T2DM with markedly different patterns of DR development were identified, including a cluster with regression of DR. These clusters enable a more detailed examination of the influence of various risk factors on DR.
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Affiliation(s)
- Hata Zavrelova
- Department of Ophthalmology, VU University Medical Center, Amsterdam, the Netherlands.
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Ethnic differences in complementary and alternative medicine use among patients with diabetes. Complement Ther Med 2011; 18:241-8. [PMID: 21130360 DOI: 10.1016/j.ctim.2010.09.007] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2009] [Accepted: 09/20/2010] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE To evaluate the effect of ethnicity as a predictor of the use of complementary and alternative medicine (CAM) among patients with diabetes. DESIGN AND SETTINGS A 16-item questionnaire investigating CAM use was distributed among patients attending the Taking Control of Your Diabetes (TCOYD) educational conferences during 2004-2006. Six TCOYD were held across the United States. Information of diabetes status and sociodemographic data was collected. CAM use was identified as pharmacologic (herbs and vitamins) and nonpharmacologic CAMs (e.g., prayer, yoga, and acupuncture). RESULTS The prevalence of pharmacologic and non-pharmacologic CAMs among 806 participants with diabetes patients was 81.9% and 80.3%, respectively. Overall, CAM prevalence was similar for Caucasians (94.2%), African Americans (95.5%), Hispanics (95.6%) and Native Americans (95.2%) and lower in Pacific Islanders/others (83.9%) and Asians (87.8%). Pharmacologic CAM prevalence was positively associated with education (p=0.001). The presence of diabetes was a powerful predictor of CAM use. Several significant ethnic differences were observed in specific forms of CAM use. Hispanics reported using frequently prickly pear (nopal) to complement their diabetes treatment while Caucasians more commonly used multivitamins. CONCLUSIONS Treatment with CAM widely used in persons with diabetes. Ethnic group differences determine a variety of practices, reflecting groups' cultural preferences. Future research is needed to clarify the perceived reasons for CAM use among patients with diabetes in clinical practice and the health belief system associated with diabetes by ethnic group.
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Abstract
A variety of definitions and diagnostic cutpoints have been promulgated for prediabetes without universal agreement. Professional organizations agree that current scientific evidence justifies intervention in high-risk populations for the delay or prevention of progression to diabetes. Lifestyle intervention is universally accepted as the primary intervention strategy. Secondary intervention is advocated in high-risk individuals or in the absence of a clinical response to lifestyle modification.
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Affiliation(s)
- Robert E Ratner
- MedStar Health Research Institute, 6525 Belcrest Road, Suite 700, Hyattsville, MD 20782, USA.
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250
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Abstract
Despite some progress in reducing the rate of diabetic complications, the epidemic rise in incidence of diabetes mellitus ensures that there will be an increasing number of patients in the coming decades with complex health care management issues who will need efficient and effective care. The management of patients with diabetes is an ever-challenging endeavor attributable to several factors. These include, among others, (1) limited provider expertise, (2) decreasing time of a patient visit, (3) increasing complexity of drug management, (4) limited use of self-monitoring of blood glucose by patients and/or providers, (5) clinical inertia, and (6) nonadherence. Technology-driven innovative solutions, including those using virtual reality, are desperately needed to assist both patients and their providers in overcoming the exigencies of this protean disease.
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Affiliation(s)
- Robert A Vigersky
- Diabetes Institute, Endocrinology Service, Walter Reed Health Care System, Washington, DC, USA.
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