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Baharum NH, Wan Muhammad Hatta SF, Zainordin NA, Abdul Ghani R. Safety and efficacy of different basal insulin in type 2 diabetes mellitus with chronic kidney disease in Ramadan: prospective observational study. BMC Endocr Disord 2024; 24:260. [PMID: 39617888 PMCID: PMC11610116 DOI: 10.1186/s12902-024-01778-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 11/05/2024] [Indexed: 12/06/2024] Open
Abstract
BACKGROUND Diabetic kidney disease populations are categorized as high risk for fasting in Ramadan due to various potential fasting-related complications. Insulin analogues are recommended to be used in place of human insulin during fasting, as they carry a lower risk of hypoglycaemia and stable glycaemic variability. A paucity of data exits on the safety and efficacy of different basal insulin types during fasting for this population. This study aims to evaluate the safety and efficacy of three basal insulin among patients with Type 2 Diabetes Mellitus and concomitant mild to moderate chronic kidney disease who are keen to fast during Ramadan. MATERIALS AND METHODS A single-centered, prospective observational study was conducted among 46 patients with type 2 diabetes mellitus and concomitant chronic kidney disease stage 2 and 3 who were on three different types of basal insulin (Glargine U-100, Levemir, and Insulatard), fasted in Ramadan 2022. All variables were listed as median (IQR). Hypoglycaemia events and glycemic variability obtained from Freestyle Libre continuous glucose monitoring were compared between insulin groups. Changes in glycated haemoglobin, fasting plasma glucose, renal profile, body weight, body mass index, and waist circumference pre and post-Ramadan were evaluated. RESULTS The glycaemic variability was found highest in Insulatard with a median (IQR) of 37.2(33)% versus Levemir 34.4(32.4)% versus Glargine U-100 36.8(30.6)%, p = NS. Levemir had reported the lowest median time of below range of 2.5(13)% followed by Glargine 4(25)% and Insulatard 5(8)%; p = NS. The findings of this study indicated that glycated haemoglobin, fasting plasma glucose, renal profile, body weight, body mass index, and waist circumference did not alter statistically between the three groups post-Ramadan. Individually, Insulatard showed a significant reduction in weight and waist circumference (0.9kg, p = 0.026; 0.44 cm, p = 0.008) while Levemir showed a reduction in waist circumference (0.75cm, p = 0.019). CONCLUSION This study revealed that Insulatard, Levemir, and Glargine demonstrated similar levels of safety and efficacy among those with diabetic kidney disease who observed fasting during Ramadan.
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Affiliation(s)
- Nur Haziqah Baharum
- Endocrine Unit, Department of Internal Medicine, Faculty of Medicine, University Technology Mara, Sungai Buloh, 47000, Selangor, Malaysia
| | | | - Nur Aisyah Zainordin
- Endocrine Unit, Department of Internal Medicine, Faculty of Medicine, University Technology Mara, Sungai Buloh, 47000, Selangor, Malaysia
| | - Rohana Abdul Ghani
- Endocrine Unit, Department of Internal Medicine, Faculty of Medicine, University Technology Mara, Sungai Buloh, 47000, Selangor, Malaysia
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Wang W, Tan J, Wu J, Huang S, Huang Y, Xie F, Sun X. Use of real world data to improve drug coverage decisions in China. BMJ 2023; 381:e068911. [PMID: 37321633 PMCID: PMC10266438 DOI: 10.1136/bmj-2021-068911] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Affiliation(s)
- Wen Wang
- Chinese Evidence-based Medicine Centre, and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Jing Tan
- Chinese Evidence-based Medicine Centre, and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Jing Wu
- School of Pharmacology Science and Technology, Tianjin University, Tianjin, China
| | - Shiyao Huang
- Chinese Evidence-based Medicine Centre, and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Yunxiang Huang
- Chinese Evidence-based Medicine Centre, and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
| | - Feng Xie
- Department of Clinical Epidemiology and Biostatistics, University of Macmaster, Hamilton, Canada
| | - Xin Sun
- Chinese Evidence-based Medicine Centre, and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, China
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 234] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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Demidova TY, Titova VV. [Insulin therapy is a personalized approach to glycemic management in diabetes]. TERAPEVT ARKH 2020; 92:201-206. [PMID: 33720595 DOI: 10.26442/00403660.2020.12.200449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 02/07/2021] [Indexed: 11/22/2022]
Abstract
Type 2 diabetes is characterized by chronic hyperglycemia and varying degrees of insulin resistance and insulinopenia. Achieving targeted glycemic control in diabetic patients is important to reduce the risk of late complications, and many patients with type 2 diabetes ultimately require insulin therapy to maintain adequate glycemic control. Timely administration of insulin can prevent the progression of diabetes, reduce the development of complications, and have fewer side effects. Basal insulin is the preferred option in most cases when glycemic control is not achieved. However, there is considerable therapeutic inertia in clinical practice, both with respect to initiation of insulin therapy and titration of the basal insulin dose. The longer duration of action, reduced glucose variability and a lower risk of hypoglycemia seen with the latest generation of basal insulin analogs compared to the previous generation simplify titration and may increase patient compliance.
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Affiliation(s)
- T Y Demidova
- Pirogov Russian National Research Medical University
| | - V V Titova
- Pirogov Russian National Research Medical University
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Cai X, Zhang F, Lin C, Zhang X, Wang Z, Xing H, Nie L, Han X, Ji L. Achieving Effective and Efficient Basal Insulin Optimal Management by Using Mobile Health Application (APP) for Type 2 Diabetes Patients in China. Diabetes Metab Syndr Obes 2020; 13:1327-1338. [PMID: 32368124 PMCID: PMC7185643 DOI: 10.2147/dmso.s244826] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 04/14/2020] [Indexed: 01/19/2023] Open
Abstract
AIM To evaluate the effectiveness of the mobile health application (APP) education in basal insulin optimal management program for insulin-naive type 2 diabetes (T2D) patients in China. METHODS The basal insulin optimal management program was launched in 297 hospitals in China, throughout the six main regions of China. A total of 17,208 insulin-naive patients with T2D who started to use basal insulin were screened. The mobile health APP was downloaded in each recruited patient's mobile phone and the doctor's mobile phone. Then, according to the instructions and education materials in the APP, these patients began their self-management of insulin dosage titrations and contacted their doctors by APP if they need help. RESULTS Overall, 12,530 patients with T2D were finally included in the analysis. The average age was 51.97±12.76 years, and 58% of them were males. The average body mass index is 24.46±3.83 kg/m2, and the average HbA1c at baseline was 8.33±2.11% with 24% of the subjects reaching the target of HbA1c<7.0% at baseline. After 3 months of treatment and educations through the APP, HbA1c decreased significantly from baseline (-1.02±1.72%), with 59% of the patients reaching HbA1c<7.0%. After 6 months, the glycemic control of HbA1c also decreased from baseline significantly (-1.01±1.67%). Dosage of insulin daily was 0.23±0.09 IU/kg at baseline, and 0.23±0.23 IU/kg after 6 months of treatment. Regarding the profiles of hypoglycemia treatment, 3145 patients received basal insulin in combination with mono oral anti-diabetic drug (OAD), 1204 patients with dual OADs, 208 patients with triple OADs, and 17 patients with quarter OADs. CONCLUSION Patients could benefit from the basal insulin optimal management program in self-management by using mobile health APP educations. For T2D patients who are going to start insulin treatment, mobile health APP can help them to reach the target of glycemic control with appropriate dosage of insulin.
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Affiliation(s)
- Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Fang Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Chu Lin
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Xiaomei Zhang
- Department of Endocrinology and Metabolism, Peking University International Hospital, Beijing, People’s Republic of China
| | - Zhufeng Wang
- Department of Endocrinology and Metabolism, Guanganmen Traditional Medicine Hospital, Beijing, People’s Republic of China
| | - Huifang Xing
- Department of Endocrinology and Metabolism, Beijing Mentougou Hospital, Beijing, People’s Republic of China
| | - Lin Nie
- Department of Endocrinology and Metabolism, Beijing Airport Hospital, Beijing, People’s Republic of China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
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Gant CM, Mensink I, Binnenmars SH, van der Palen JAM, Bakker SJL, Navis G, Laverman GD. Body weight course in the DIAbetes and LifEstyle Cohort Twente (DIALECT-1)-A 20-year observational study. PLoS One 2019; 14:e0218400. [PMID: 31216324 PMCID: PMC6583961 DOI: 10.1371/journal.pone.0218400] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 06/01/2019] [Indexed: 12/19/2022] Open
Abstract
Background Although weight gain increases risk of type 2 diabetes, real-life data on the weight course in patients with established type 2 diabetes are scarce. We assessed weight course in a real-life diabetes secondary care setting and analyzed its association with patient characteristics, lifestyle habits and initiation of insulin, glucagon like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose co-transporter-2 inhibitors (SGLT-2i). Methods Data on weight, insulin, GLP-1 RA and SGLT-2i use were collected retrospectively (12 years) and prospectively (8 years) from patients included in the DIAbetes and LifEstyle Cohort Twente-1 (DIALECT-1, n = 450, age 63 ± 9 years, 58% men, diabetes duration [7–18] years). Lifestyle habits were assessed using validated questionnaires. The association of clinical parameters with body mass index (BMI) course was determined using linear mixed models. Patients who underwent bariatric surgery (n = 19) had a distinct BMI course and were excluded from the study. Results Baseline BMI was 31.3 (0.3) and was higher in women, patients aged <60 years and patients with unfavorable lifestyle habits. BMI increased to 32.5 (0.3) after 12 years (P<0.001), and thereafter decreased to 31.5 (0.3) after 20 years, resulting in a similar BMI as the baseline BMI (P = 0.96, compared to baseline). Clinical parameters or initiation of insulin or SGLT-2i were not associated with BMI course. Patients who initiated GLP-1 RA declined in BMI compared to non-users (Pinteraction = 0.003). Conclusions High BMI that real-life patients with type 2 diabetes gained earlier in life, remained stable in the following decades. Weight loss interventions should remain a priority, and GLP-1 RA might be considered to support weight loss.
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Affiliation(s)
- Christina M. Gant
- Department of Internal Medicine, Meander Medical Center, Amersfoort, The Netherlands
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
| | - Ijmke Mensink
- Department of Internal Medicine/Nephrology, ZGT Hospital, Almelo and Hengelo, The Netherlands
| | - S. Heleen Binnenmars
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Job A. M. van der Palen
- Faculty of Behavioral, Management and Social Sciences, University of Twente, Enschede, The Netherlands and Medical School Twente, Medisch spectrum Twente, Enschede, The Netherlands
| | - Stephan J. L. Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gerjan Navis
- Division of Nephrology, Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gozewijn D. Laverman
- Department of Internal Medicine/Nephrology, ZGT Hospital, Almelo and Hengelo, The Netherlands
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Hirose T, Chen CC, Ahn KJ, Kiljański J. Use of Insulin Glargine 100 U/mL for the Treatment of Type 2 Diabetes Mellitus in East Asians: A Review. Diabetes Ther 2019; 10:805-833. [PMID: 31020538 PMCID: PMC6531539 DOI: 10.1007/s13300-019-0613-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Indexed: 12/18/2022] Open
Abstract
Insulin glargine (IGlar) 100 U/mL (IGlar-100) is widely used in East Asian countries for the treatment of type 2 diabetes mellitus (T2DM) and is the gold standard of basal insulin treatment. In this review we summarize key information about clinical experience with IGlar-100 in East Asian patients with T2DM, including findings from clinical trials and postmarketing studies. We also provide recommendations and opinions on the optimal use of IGlar-100 in this population. The findings from the studies highlighted in our review indicate that IGlar-100 can be a suitable treatment option for East Asians with T2DM, from initial therapy in combination with oral antihyperglycemic medications through to different combinations and intensification models. FUNDING: Eli Lilly and Company.
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Affiliation(s)
- Takahisa Hirose
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Ching-Chu Chen
- Division of Endocrinology and Metabolism, Department of Medicine, China Medical University Hospital, Taichung, Taiwan
- China Medical University School of Chinese Medicine, Taichung, Taiwan
| | - Kyu Jeung Ahn
- Department of Endocrinology and Metabolism, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul, Korea
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Guarnotta V, Di Bella G, Pillitteri G, Ciresi A, Giordano C. Improved Cardiovascular and Cardiometabolic Risk in Patients With Type 1 Diabetes and Autoimmune Polyglandular Syndrome Switched From Glargine to Degludec Due to Hypoglycaemic Variability. Front Endocrinol (Lausanne) 2018; 9:428. [PMID: 30093885 PMCID: PMC6070612 DOI: 10.3389/fendo.2018.00428] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 07/10/2018] [Indexed: 11/21/2022] Open
Abstract
Background: Cardiovascular disease is a frequent complication of type 1 diabetes (T1D). We evaluated the effectiveness of switching from glargine to degludec in reducing the cardiovascular risk factors, the Framingham risk score (FRS) and visceral adiposity index (VAI) in patients with T1D and autoimmune polyglandular syndrome (APS). Methods: We selected 66 T1D outpatients who had been on stable treatment with glargine for at least 5 years. Among them, 30 patients maintained glargine (group A), while 36 were switched to degludec (group B) for 12 months. At baseline and after 12 months of observation, clinical and metabolic parameters, insulin dose, 30-days blood glucose (BG) self monitoring, VAI and FRS were obtained. Results: At baseline, patients in group B had more hypoglycaemic episodes and prevalence of hypertension than those in group A. After 12 months on degludec, patients in group B had a significant decrease in BMI (p = 0.003), waist circumference (p < 0.001), total daily insulin as U/day and U/kg (p = 0.001 for both), basal insulin as U/day and U/kg (p = 0.001 for both), HbA1c (p < 0.001), mean (p = 0.035) and standard deviation of daily BG (p = 0.017), mean pre-meal BG (p = 0.016), number of hypoglycaemic episodes (p = 0.001), VAI (p = 0.012) and FRS (p = 0.019) and a significant increase in HDL-C (p < 0.001), compared to baseline. At 12 months of treatment a significant decrease in BMI (p = 0.017), WC (p = 0.003), SBP (p = 0.001), DBP (p = 0.005), basal insulin as U/day (p = 0.018) and U/kg (p = 0.045), HbA1c (p = 0.040) and FRS (p = 0.010) was observed in group B compared to group A. Conclusions: Our preliminary data suggest that 12 months' treatment with degludec is associated with an improvement of glycaemic control, cardiometabolic and cardiovascular risk, compared to glargine, in patients with T1D and APS.
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Abstract
Obesity and diabetes are on the rise, which remains a continuous health concern worldwide. It is important to consider weight effects of antidiabetic agents prior to initiation as different antidiabetic agents impact weight differently. Areas covered: New agents to treat diabetes, glucagon-like peptide-1 receptor agonists and sodium glucose cotransporter 2 inhibitors, have emerged over recent years that have been shown to result in weight reduction. Unfortunately, other antidiabetic medications used can cause weight gain such as with insulin, sulfonylureas, and thiazolidediones while some remain weight neutral (metformin and dipeptidyl peptidase-4 inhibitors). The weight effects of these antidiabetic medications described are from select relevant guidelines, clinical trials, reviews, and meta-analysis found through PubMed and Ovid databases up to July 2017. Expert commentary: This article summarizes the current evidence available on the weight effects of these agents in patients with diabetes. Evaluating potential risks, such as weight gain, with potential benefits, such as improvement in glycemic control, will help with designing optimal therapeutic diabetes regimens.
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Affiliation(s)
- Ashley M Higbea
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Courtney Duval
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Lisa M Chastain
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
| | - Jooyeon Chae
- a School of Pharmacy , Texas Tech University Health Sciences Center , Dallas , TX , USA
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Zhang T, Ji L, Gao Y, Zhang P, Zhu D, Li X, Ji J, Zhao F, Zhang H, Guo X. Observational Registry of Basal Insulin Treatment in Patients with Type 2 Diabetes in China: Safety and Hypoglycemia Predictors. Diabetes Technol Ther 2017; 19:675-684. [PMID: 29090977 DOI: 10.1089/dia.2017.0111] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The Observational Registry of Basal Insulin Treatment (ORBIT) study evaluated the safety of basal insulin (BI) in real-world settings in China. METHODS We analyzed 9002 patients with type 2 diabetes (T2D) inadequately controlled with oral hypoglycemic agents from 8 geographic regions and 2 hospital tiers in China who initiated and maintained BI treatment. Body weight and hypoglycemic episodes were recorded at baseline and 3 and 6 months. Serious adverse events (SAEs) were recorded at 3 and 6 months. RESULTS Age, gender, inpatient/outpatient status, body mass index, glycated hemoglobin (HbA1c) at baseline and at the end of study, T2D duration, microvascular complications, BI type, combination with insulin secretagogues, self-monitoring of blood glucose frequency, and insulin dosage, all predicted hypoglycemia. BI use generally did not induce significant weight gain (0.02 kg); weight gain with insulin detemir (-0.30 kg) was less than that with neutral protamine Hagedorn (NPH) insulin (0.20 kg) or insulin glargine (0.05 kg). Overall, general hypoglycemia incidence (5.6% vs. 7.7%) and annual event rate (1.6 vs. 1.8) were similar before and after BI initiation, whereas a slight decrease was noted in severe hypoglycemia incidence (0.6%-0.3%) and frequency (0.05-0.03 events/patient-year). The general hypoglycemia rate was lowest with insulin glargine, whereas there was no significant difference in severe hypoglycemia among the three BI groups. Overall, 3.5% of patients had at least one SAE during the study. Most SAEs were found to be unrelated to BI treatment. CONCLUSIONS Real-world BI use, particularly insulin detemir and glargine, was associated with only slight weight gain and low hypoglycemia risk in patients with T2D in China.
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Affiliation(s)
| | - Linong Ji
- 2 Peking University People's Hospital , Beijing, China
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Yan Gao
- 1 Peking University First Hospital , Beijing, China
| | - Puhong Zhang
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Dongshan Zhu
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Xian Li
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Jiachao Ji
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Fang Zhao
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Heng Zhang
- 3 The George Institute for Global Health at Peking University Health Science Center , Beijing, China
| | - Xiaohui Guo
- 1 Peking University First Hospital , Beijing, China
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Luo Y, Bao Y, Zhang P, Zhu D, Li X, Ji J, Zhang H, Ji L, on behalf of the ORBIT Study Group. Self-Monitoring of Blood Glucose in Patients with Type 2 Diabetes Before and After Initiating Basal Insulin Treatment in China. Diabetes Technol Ther 2017. [DOI: 10.1089/dia.2017.0040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Yuqian Bao
- Department of Endocrinology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Puhong Zhang
- Diabetes Research Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Dongshan Zhu
- Diabetes Research Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Xian Li
- Biostatistics and Economic Evaluation Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Jiachao Ji
- Biostatistics and Economic Evaluation Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Heng Zhang
- Diabetes Research Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
- Diabetes Research Program, The George Institute for Global Health at Peking University Health Science Center, Beijing, China
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