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He L, Liu M, Zhuang X, Guo Y, Wang P, Zhou Z, Chen Z, Peng L, Liao X. Effect of Intensive Lifestyle Intervention on Cardiovascular Risk Factors: Analysis From the Perspective of Long-Term Variability. J Am Heart Assoc 2024; 13:e030132. [PMID: 38293950 PMCID: PMC11056142 DOI: 10.1161/jaha.123.030132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/09/2023] [Indexed: 02/01/2024]
Abstract
BACKGROUND An association between variability of cardiovascular risk factors and cardiovascular events has been reported. We examined whether intensive lifestyle intervention (ILI) for weight loss decreased variability of cardiovascular risk factors with a view to additional cardiometabolic benefits. METHODS AND RESULTS This study was a post hoc secondary analysis of the Look AHEAD (Action for Health in Diabetes) study. Cardiovascular risk factors were measured at 1-year intervals for 4 years in 4249 adults with overweight or obesity and type 2 diabetes who were randomly assigned to ILI or diabetes support and education. Long-term variability was defined as the SD of cardiovascular risk factors during 4-year follow-up. At multiple linear regression analysis, compared with the diabetes support and education group, the ILI group was associated with reduced variability of fasting blood glucose (β=-1.49 [95% CI, -2.39 to -0.59]), total cholesterol (β=-1.12 [95% CI, -1.75 to -0.48]), and low-density lipoprotein cholesterol (β=-1.04 [95% CI, -1.59 to -0.49]), as well as increased variability of systolic blood pressure (β=0.27 [95% CI, 0.00-0.54]). No significant effect of ILI was found on the variability of diastolic blood pressure (β=-0.08 [95% CI, -0.22 to 0.05]). CONCLUSIONS Among adults with overweight or obesity and type 2 diabetes, ILI may reduce long-term variability of fasting blood glucose, total cholesterol, and low-density lipoprotein cholesterol. Our results support that ILI should be recommended to individuals with diabetes as part of management of long-term glycemic and blood lipid control.
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Affiliation(s)
- Lixiang He
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Menghui Liu
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Xiaodong Zhuang
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Yue Guo
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Peng Wang
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Zhuoming Zhou
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- Department of Cardiac Surgerythe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Zhuohui Chen
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Longyun Peng
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
| | - Xinxue Liao
- Department of CardiologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople’s Republic of China
- NHC Key Laboratory of Assisted CirculationSun Yat‐sen UniversityGuangzhouPeople’s Republic of China
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Li H, Yang A, Zhao S, Chow EYK, Javanbakht M, Li Y, Lin D, Xu L, Zang D, Wang K, Ma L. Continuous Subcutaneous Insulin Infusion (CSII) Combined with Oral Glucose-Lowering Drugs in Type 2 Diabetes: A Systematic Review and Network Meta-Analysis of Randomized, Controlled Trials. Pharmaceuticals (Basel) 2022; 15:953. [PMID: 36015100 PMCID: PMC9412496 DOI: 10.3390/ph15080953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/13/2022] [Accepted: 07/24/2022] [Indexed: 02/04/2023] Open
Abstract
The clinical efficacy of continuous subcutaneous insulin infusion (CSII) therapy combined with six classes of oral glucose-lowering drugs (GLDs) (TZDs/metformin/acarbose/GLP-1 receptor agonist/SGLT-2 inhibitor/DPP-4 inhibitor) was evaluated by a network meta-analysis to provide an evidence-based reference in making a clinical decision on CSII combined with drugs in the treatment of type 2 diabetes. Data were retrieved from eight databases: the Chinese Journal Full-Text Database (CNKI), VIP Chinese Science and Technology Periodicals Full-Text Database (VP-CSFD), Wanfang Data Journal Paper Resource (WANFANG), China Biomedical Database (CBM), PubMed, Embase, Cochrane Library, and Web of Science. The retrieval period dated from the library's construction to 27 June 2021. The search was for randomized, controlled trial studies (RCT) on insulin infusion (CSII) combined with oral hypoglycemic drugs (TZDs/metformin/acarbose/GLP-1 receptor agonist/SGLT-2 inhibitor/DPP-4 inhibitor) in the treatment of type 2 diabetes. Quality evaluation and data extraction were performed on the studies included, and network meta-analysis was performed with R4.0.1 software. A total of 56 publications was included in the final network meta-analysis, with a total sample size of 4395. Results based on the network meta-analysis were that CSII combined with a metformin works best on fasting blood glucose (FBG) and 2 h postprandial blood glucose (2hPG) and improves insulin resistance (lower HOMA-IR levels). CSII combined with a DPP-4 inhibitor had the best clinical effect in reducing glycosylated hemoglobin levels. Treatment with CSII combined with a DPP-4 inhibitor was the fastest way to achieve the blood glucose standard. In terms of insulin dosage, an insulin pump (CSII) combined with the GLP-1 receptor agonist can significantly reduce insulin dosage. Network meta-analysis evidence suggests that an insulin infusion (CSII) combined with oral hypoglycemic drugs can improve clinical efficacy in controlling blood sugar and improving insulin resistance, insulin dosage, and standard time. However, the most outstanding performance was that of insulin infusion (CSII) combined with metformin, which had the best clinical effect in controlling blood sugar and improving insulin resistance.
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Affiliation(s)
- Hui Li
- Department of endocrine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China; (H.L.); (Y.L.); (L.X.); (D.Z.)
| | - Aimin Yang
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong 999077, China; (A.Y.); (E.Y.C.)
| | - Shi Zhao
- JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong 999077, China;
| | - Elaine YK Chow
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong 999077, China; (A.Y.); (E.Y.C.)
| | - Mohammad Javanbakht
- Nephrology and Urology Research Center, Baqiyatallah University of Medical Sciences, Tehran 1435916471, Iran;
| | - Yinhui Li
- Department of endocrine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China; (H.L.); (Y.L.); (L.X.); (D.Z.)
| | - Dandan Lin
- Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China;
| | - Lijuan Xu
- Department of endocrine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China; (H.L.); (Y.L.); (L.X.); (D.Z.)
| | - Deng Zang
- Department of endocrine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China; (H.L.); (Y.L.); (L.X.); (D.Z.)
| | - Kai Wang
- Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China;
| | - Li Ma
- Department of endocrine, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China; (H.L.); (Y.L.); (L.X.); (D.Z.)
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Ishikawa-Tanaka T, Hosojima M, Kabasawa H, Kaseda R, Yasukawa R, Yata Y, Kuwahara S, Kono E, Takata T, Iino N, Tanaka T, Kitamura N, Suzuki Y, Saito A, Narita I. Effects of DPP-4 Inhibitors on Blood Glucose Variability in Japanese Patients with Type 2 Diabetes on Maintenance Hemodialysis: A Prospective Observational Exploratory Study. Diabetes Ther 2020; 11:2845-2861. [PMID: 33000383 PMCID: PMC7644617 DOI: 10.1007/s13300-020-00928-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/11/2020] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION The precise blood glucose (BG) profile of hemodialysis patients is unclear, as is the effectiveness of dipeptidyl peptidase-4 (DPP-4) inhibitors in hemodialysis patients with type 2 diabetes. Here, we used continuous glucose monitoring (CGM) to evaluate BG variability in these patients and to assess the efficacy of DPP-4 inhibitors, particularly during hemodialysis sessions and at nighttime (UMIN000012638). METHODS We examined BG profiles using CGM in 31 maintenance hemodialysis patients with type 2 diabetes. Differences between patients with and without DPP-4 inhibitors (n = 15 and 16, respectively) were analyzed using a linear mixed-effects model to assess changes in glucose levels in 5-min intervals. RESULTS The model revealed that DPP-4 inhibitor use was significantly associated with suppression of a rapid drop in glucose levels, both with and without adjustment for BG levels at the start of hemodialysis. Moreover, the model revealed that the two groups differed significantly in the pattern of changes in BG levels from 0:00 to 6:55 am. DPP-4 inhibitors suppressed the tendency for subsequent nocturnal hypoglycemia. CONCLUSIONS This prospective observational exploratory study showed that DPP-4 inhibitors could suppress BG variability during hemodialysis sessions as well as subsequent nocturnal changes in patients with type 2 diabetes. TRIAL REGISTRATION ClinicalTrials.gov identifier, UMIN000012638.
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Affiliation(s)
- Tomomi Ishikawa-Tanaka
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
- Department of Internal Medicine, Itoigawa General Hospital, Niigata, Japan
| | - Michihiro Hosojima
- Department of Clinical Nutrition Science, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
| | - Hideyuki Kabasawa
- Department of Clinical Nutrition Science, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Ryohei Kaseda
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Ryota Yasukawa
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Yusuke Yata
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Shoji Kuwahara
- Department of Applied Molecular Medicine, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Emiko Kono
- Department of Nephrology, Nagaoka Chuo General Hospital, Niigata, Japan
| | - Takuma Takata
- Department of Nephrology, Nagaoka Chuo General Hospital, Niigata, Japan
| | - Noriaki Iino
- Department of Nephrology, Uonuma Institute of Community Medicine, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Takahiro Tanaka
- Clinical and Translational Research Center, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Nobutaka Kitamura
- Clinical and Translational Research Center, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Yoshiki Suzuki
- Health Administration Center, Niigata University, Niigata, Japan
| | - Akihiko Saito
- Department of Applied Molecular Medicine, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Ichiei Narita
- Division of Clinical Nephrology and Rheumatology, Kidney Research Center, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
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Bao Y, Chen L, Chen L, Dou J, Gao Z, Gao L, Guo L, Guo X, Ji L, Ji Q, Jia W, Kuang H, Li Q, Li Q, Li X, Li Y, Li L, Liu J, Ma J, Ran X, Shi L, Song G, Wang Y, Weng J, Xiao X, Xie Y, Xi G, Yang L, Zhao Z, Zhou J, Zhou Z, Zhu D, Zou D. Chinese clinical guidelines for continuous glucose monitoring (2018 edition). Diabetes Metab Res Rev 2019; 35:e3152. [PMID: 30884108 DOI: 10.1002/dmrr.3152] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 01/22/2019] [Accepted: 02/19/2019] [Indexed: 02/05/2023]
Abstract
Blood glucose monitoring is an important part of diabetes management. Continuous glucose monitoring (CGM) technology has become an effective complement to conventional blood glucose monitoring methods and has been widely applied in clinical practice. The indications for its use, the accuracy of the generated data, the interpretation of the CGM results, and the application of the results must be standardized. In December 2009, the Chinese Diabetes Society (CDS) drafted and published the first Chinese Clinical Guideline for Continuous Glucose Monitoring (2009 edition), providing a basis for the standardization of CGM in clinical application. Based on the updates of international guidelines and the increasing evidence of domestic studies, it is necessary to revise the latest CGM guidelines in China so that the recent clinical evidence can be effectively translated into clinical benefit for diabetic patients. To this end, the CDS revised the Chinese Clinical Guideline for Continuous Glucose Monitoring (2012 Edition) based on the most recent evidence from international and domestic studies.
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Affiliation(s)
- Yuqian Bao
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan City, Shandong Province, China
| | - Liming Chen
- Tianjin Medical University Metabolic Disease Hospital, Tianjin, China
| | - Jingtao Dou
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian City, Liaoning Province, China
| | - Leili Gao
- Peking University People's Hospital, Beijing, China
| | - Lixin Guo
- Beijing Hospital of the Ministry of Health, Beijing, China
| | - Xiaohui Guo
- Peking University First Hospital, Beijing, China
| | - Linong Ji
- Peking University People's Hospital, Beijing, China
| | - Qiuhe Ji
- Xijing Hospital of the Fourth Military Medical University, Xi'an City, Shanxi Province, China
| | - Weiping Jia
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hongyu Kuang
- The First Affiliated Hospital of Harbin Medical University, Harbin City, Heilongjiang Province, China
| | - Qifu Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin City, Heilongjiang Province, China
| | - Xiaoying Li
- Zhongshan Hospital Affiliated to Fudan University, Shanghai, China
| | - Yanbing Li
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Ling Li
- Shengjing Hospital of China Medical University, Shenyang City, Liaoning Province, China
| | - Jing Liu
- Gansu Provincial Hospital, Lanzhou City, Gansu Province, China
| | - Jianhua Ma
- Nanjing First Hospital Affiliated to Nanjing Medical University, Nanjing City, Jiangsu Province, China
| | - Xingwu Ran
- West China Hospital of Sichuan University, Chengdu City, Sichuan Province, China
| | - Lixin Shi
- The Affiliated Hospital of Guizhou Medical University, Guiyang City, Guizhou Province, China
| | - Guangyao Song
- Hebei General Hospital, Shijiazhuang City, Hebei Province, China
| | - Yufei Wang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Jianping Weng
- The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei City, Anhui Province, China
| | - Xinhua Xiao
- Peking Union Medical College Hospital, Beijing, China
| | - Yun Xie
- Tianjin Medical University Metabolic Disease Hospital, Tianjin, China
| | - Guangxia Xi
- Shanxi Dayi Hospital, Taiyuan City, Shanxi Province, China
| | - Liyong Yang
- The First Affiliated Hospital of Fujian Medical University, Fuzhou City, Fujian Province, China
| | - Zhigang Zhao
- Zhengzhou Yihe Hospital Affiliated to Henan University, Zhengzhou City, Henan Province, China
| | - Jian Zhou
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Zhiguang Zhou
- The Second Xiangya Hospital of Central South University, Changsha City, Hunan Province, China
| | - Dalong Zhu
- Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing City, Jiangsu Province, China
| | - Dajin Zou
- Changhai Hospital Affiliated to the Second Military Medical University, Shanghai, China
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Liang S, Yin H, Wei C, Xie L, He H, Liu X. Glucose variability for cardiovascular risk factors in type 2 diabetes: a meta-analysis. J Diabetes Metab Disord 2017; 16:45. [PMID: 29164077 PMCID: PMC5686902 DOI: 10.1186/s40200-017-0323-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 09/24/2017] [Indexed: 01/14/2023]
Abstract
Aims It is consensus that glucose variability (GV) plays an important role in maccomplications of type 2 diabetes, but whether GV has a causal role is not yet clear for cardiovascular disease (CVD). This study sought to explore the effect on GV for CVD risk factors with type 2 diabetes. Methods The systematic literature search was performed to identify all GV and CVD risk factors, including total cholesterol (TC), LDL cholesterol (LDL-C), triglyceride (TG), HDL cholesterol (HDL-C), Body Mass Index (BMI), waist circumference (WC), High-Sensitivity C-reactive protein (Hs-CRP), Homeostasis model assessment (HOMA) and carotid intima-media thickness (IMT). Preferred Reporting Items was synthesized for Systematic reviews and Meta Analyses guideline. And the pooled analyses were undertaken using Review Manager 5.3. Results Twenty two studies were included with a total of 1143 patients in high glucose variability group (HGVG) and 1275 patients low glucose variability group (LGVG). Among these selected CVD risk factors, HOMA-IR and reduced IMT were affected by GV. HOMA-IR level was significantly lower in LGVG than in HGVG (MD = 0.58, 95% CI: 0.26 to 0.91, P = 0.0004), with evidence of heterogeneity between studies (I2 = 0%; P = 0.47). Reduced IMT level was significantly lower in LGVG than in HGVG (SMD = 0.28, 95% CI: 0.09 to 0.47, P = 0.003), with evidence of heterogeneity between studies (I2 = 0%; P = 0.48). However, the others were no significant statistical difference. Conclusions Among these selected CVD risk factors in type 2 diabetes, minimizing GV could improve insulin resistance and reduced IMT, consistent with a lowering in risk of CVD. Electronic supplementary material The online version of this article (10.1186/s40200-017-0323-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shuang Liang
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Hang Yin
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Chunxiang Wei
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Linjun Xie
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Hua He
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | - Xiaoquan Liu
- Department of Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
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Landau Z, Raz I, Wainstein J, Bar-Dayan Y, Cahn A. The role of insulin pump therapy for type 2 diabetes mellitus. Diabetes Metab Res Rev 2017; 33. [PMID: 27189155 DOI: 10.1002/dmrr.2822] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 04/11/2016] [Accepted: 05/04/2016] [Indexed: 11/10/2022]
Abstract
Many patients with type 2 diabetes fail to achieve adequate glucose control despite escalation of treatment and combinations of multiple therapies including insulin. Patients with long-standing type 2 diabetes often suffer from the combination of severe insulin deficiency in addition to insulin resistance, thereby requiring high doses of insulin delivered in multiple injections to attain adequate glycemic control. Insulin-pump therapy was first introduced in the 1970s as an approach to mimic physiological insulin delivery and attain normal glucose in patients with type 1 diabetes. The recent years have seen an increase in the use of this technology for patients with type 2 diabetes. This article summarizes the clinical studies evaluating insulin pump use in patients with type 2 diabetes and discusses the benefits and shortcomings of pump therapy in this population. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Zohar Landau
- Pediatric Endocrine and Diabetes Unit, E. Wolfson Medical Center, Holon, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Itamar Raz
- Diabetes Unit, Department of Internal Medicine, Hadassah University Hospital, Jerusalem, Israel
| | - Julio Wainstein
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Diabetes Unit, Wolfson Medical Center, Holon, Israel
| | - Yosefa Bar-Dayan
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Diabetes Unit, Wolfson Medical Center, Holon, Israel
| | - Avivit Cahn
- Diabetes Unit, Department of Internal Medicine, Hadassah University Hospital, Jerusalem, Israel
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