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Sindhvananda W, Poopuangpairoj W, Jaiprasat T, Ongcharit P. Comparison of glucose control by added liraglutide to only insulin infusion in diabetic patient undergoing cardiac surgery: A preliminary randomized-controlled trial. Ann Card Anaesth 2023; 26:63-71. [PMID: 36722590 PMCID: PMC9997471 DOI: 10.4103/aca.aca_214_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Background Liraglutide, glucagon-like peptide-1 (GLP-1) receptor agonist, has been investigated for safety and effectiveness for blood glucose (BG) control in a surgical setting. However, there are only a few studies specific to cardiac surgery patients. Aims To primarily compare perioperative 1) BG and 2) glycemic variability (GV) between added liraglutide and only insulin infusion in diabetes mellitus (DM) patients undergoing cardiac surgery. Setting and Design A randomized control trial was conducted in DM patients undergoing cardiac surgery with cardiopulmonary bypass (CPB). Inclusion criteria were age 20-80 years and DM Type 2. Material and Methods : The recruited patients were randomly assigned to Group 1 (added liraglutide with insulin infusion) and Group 2 (insulin infusion). Insulin infusion was based on institutional protocol. Point of care testing (POCT) glucose was used for the adjustment of insulin and BG analysis. Continuous glucose monitor (CGM) was for GV analysis (using Standard deviation: SD). Statistics : t-test, Chi-square or Fisher-exact test, or Mann-Whitney U test. Results : Finally, 60 patients were in our study (Group 1 = 32 vs Group 2 = 28). Perioperative mean BG levels of Group 1 were significantly lower than Group 2 with a mean difference of 15.9 mg/dL. Nine patients (18.7% vs 10.7%, P = 0.384) had BG of 60-70 with mean BGs (109.1 vs 147.9, P = 0.001) in the morning. Thirteen patients (9.4% vs 35.7%, P = 0.025) had BG >180 mg/dL at the 1st operative hour. SDs were increasing, but lower SD of Group 1 were observed at the postoperative period. Mean of SDs at postoperative day 2 were 23.65 vs 32.79 mg/dL, P = 0.018. Conclusions : Liraglutide added with insulin infusion can attenuate perioperative BG and is beneficial in the aspect of lowering GV together with BG at the postoperative period in DM patients. Liraglutide can be applied in cardiac surgery but a rearrangement of time and dosage should be further investigated.
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Affiliation(s)
- Wacharin Sindhvananda
- Department of Anesthesiology, Faculty of Medicine, Chulalongkorn University, Rama IV, Bangkok, Thailand
| | - Weerasake Poopuangpairoj
- Department of Anesthesiology, Faculty of Medicine, Chulalongkorn University, Rama IV, Bangkok, Thailand
| | - Teerarat Jaiprasat
- Department of Anesthesiology, Faculty of Medicine, Chulalongkorn University, Rama IV, Bangkok, Thailand
| | - Pachara Ongcharit
- Department of Surgery, Faculty of Medicine, Chulalongkorn University, Rama IV, Bangkok, Thailand
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Zhang J, Du Y, Hu C, Liu Y, Liu J, Gao A, Zhao Y, Zhou Y. Elevated Glycated Albumin in Serum Is Associated with Adverse Cardiac Outcomes in Patients with Acute Coronary Syndrome Who Underwent Revascularization Therapy. J Atheroscler Thromb 2022; 29:482-491. [PMID: 33642440 PMCID: PMC9090483 DOI: 10.5551/jat.61358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/20/2021] [Indexed: 11/30/2022] Open
Abstract
AIMS The associations between increased glycated albumin (GA) in the serum and diabetic complications and mortality have been revealed in the general population. However, less is known regarding the prognostic value of GA in patients diagnosed with acute coronary syndrome (ACS). METHODS In this study, all patients admitted for ACS who underwent a successful percutaneous coronary intervention (PCI) at our center from January 2018 to February 2019 were retrospectively examined. Clinical characteristics, laboratory results (e.g., serum GA levels), and procedural details were collected. The primary outcome included a composite of major adverse cardio-cerebral events (MACCE), such as death, myocardial infarction, stroke, and unplanned revascularization. The association between serum GA levels and clinical outcomes was tested in three multivariable models using Cox proportional hazard analysis. Subgroup analysis was performed in patients who were diagnosed with diabetes versus patients without diabetes. RESULTS A total of 1,806 ACS patients (mean age of 59.4 years; 77.8% were men; 44.9% were diagnosed with diabetes) were enrolled in this study, where the majority exhibited unstable angina (81.6%) and showed preserved left ventricular systolic function. Patients in the high GA level group were commonly female and were more likely to have metabolic disorders and to exhibit severe CAD (all p<0.05). MACCE occurred in 126 patients (7.0%) during a mean follow-up time of 17.2 months. The cumulative risk of MACCE at the 18-month follow-up visit significantly increased in a stepwise fashion along with increased GA levels (log-rank p=0.018) in the serum. The association between serum GA levels and MACCE was further determined after adjusting traditional risk factors and hemoglobin A1c (HbA1c) (GA, per 1% increase: hazard ratio [HR] 1.09, 95% confidence interval [CI] 1.06-1.13; GA, higher vs. lower tertial: HR 1.92, 95% CI 1.01-3.67). In a subgroup analysis, the prognostic role of serum GA only existed in diabetic patients, even when adjusting for traditional risk factors and HbA1c levels. CONCLUSIONS Elevated GA levels in the serum were associated with poor intermediate-term outcomes in low-risk ACS patients who underwent PCI, especially in patients with preexisting diabetes.
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Affiliation(s)
- Jianwei Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Yu Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Chengping Hu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Yan Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Jinxing Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Ang Gao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Yingxin Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
| | - Yujie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel
Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical center for coronary heart
disease, Capital Medical University, Beijing, China
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Nathiya D, Singh M, Suman S, Bareth H, Pal N, Jain A, Tomar BS. Albuminuria, glycemic variability and effect of flash glucose monitoring based decision making on short term glycemic variability in Indian type 2 diabetes patients: Indi-GlyVar study. Front Endocrinol (Lausanne) 2022; 13:1011411. [PMID: 36465630 PMCID: PMC9715732 DOI: 10.3389/fendo.2022.1011411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/31/2022] [Indexed: 11/21/2022] Open
Abstract
AIM AND SCOPE Glycemic variability (GV) denotes the fluctuations in the glucose values around the baseline. High glycemic variability is associated with a higher risk of diabetes-associated complications. In this study, we sought to determine the impact of therapeutic interventions based on flash glucose monitoring on rapid, short-term glycemic variability. We also studied the prevalent albuminuria in diabetic kidney disease and its effect on glycemic variability. METHODS In a 14-day, single-center, prospective intervention study, we measured the GV indices at baseline (days 1-4) and ten days after ambulatory glucose profile-based intervention using flash glucose monitoring (Abbott Libre Pro, Abbott Diabetes Care, Alameda, California, USA) in patients with type 2 diabetes. An EasyGV calculator was used to estimate the flash glucose monitoring (FGM)-derived measures of GV. The primary outcome was to assess the impact of FGMS-based therapeutic interventions on glycemic variability markers: SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], M value, and coefficient of variance [%CV], AUC below 70 mg/dl, low blood glucose index, AUC above 180 mg/dl [AUC >180], high blood glucose index [HBGI], and J index. Time-related matrices (time in range (%), time above range (%), and time below range (%) were also calculated from the ambulatory glucose profile. Renal function parameters (serum creatinine, estimated glomerular filtration rate, urine albumin excretion) were calculated. The GV with regard to albumin excretion rate was compared. RESULTS Fifty-eight T2DM patients (63.8%, males) with a mean age of 51.5 ± 11.9 years were studied. When compared with baseline (days 1-4), on day 14, there was a significant improvement in mean sensor glucose (mg/dl) median (IQR) [155 (116-247) vs 131 (103-163) (p ≤0.001)], JINDEX [15,878 (7,706-28,298) vs 8,812 (5,545-14,130) (p ≤0.001)], HBGI [361 (304-492) vs 334 (280-379) (p ≤0.001)], MAGE (mg/dl) [112 (8-146) vs 82 (59-109) (p ≤0.001)], M-value [2,477 (1,883-3,848) vs 2,156 (1,667-2,656) (p ≤ 0.001)], MAG (mg/dl) [111 (88-132) vs 88 (69-102) (p ≤ 0.001)]. Patients with albuminuria at baseline had high mean sensor glucose (mg/dl) median (IQR) [190 (131-200) vs 131 (112-156) (p = 0.001)], CONGA (mg/dl) median (IQR) [155 (101-165) vs 108 (83-120) (p = 0.001)], JINDEX, HBGI, MAGE (mg/dl), and M-value are, median (IQR) [20,715 (10,970-26,217 vs 91,118 (6,504-15,445)) (p ≤ 0.01)], [415 (338-423) vs 328 (292-354) (p = 0.001)], [125 (102-196) vs 103 (74-143) (p ≤ 0.01)], [3,014 (2,233-3,080) vs 2,132 (1,788-2,402) (p ≤0.01)], respectively. CONCLUSION In type 2 diabetes, flash glucose monitoring-guided therapeutic interventions can reduce glycemic variability in a brief span (10 days) of time. Also, albuminuria in type 2 diabetes is associated with high glycemic variability. Reduced diabetes complications may ultimately result from this reduced glycemic variability.
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Affiliation(s)
- Deepak Nathiya
- Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India
- Department of Clinical Studies, Fourth Hospital of Yulin (Xingyuan), Yulin, Shaanxi, China
- Department of Clinical Sciences, Shenmu Hospital, Shenmu, Shaanxi, China
| | - Mahaveer Singh
- Department of Endocrinology, National Institute of Medical Sciences, Nims University Rajasthan, Jaipur, India
| | - Supriya Suman
- Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India
| | - Hemant Bareth
- Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India
| | - Nikita Pal
- Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India
- *Correspondence: Arjav Jain, ; Nikita Pal,
| | - Arjav Jain
- Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India
- *Correspondence: Arjav Jain, ; Nikita Pal,
| | - Balvir S. Tomar
- Department of Clinical Studies, Fourth Hospital of Yulin (Xingyuan), Yulin, Shaanxi, China
- Department of Clinical Sciences, Shenmu Hospital, Shenmu, Shaanxi, China
- Institute of Pediatric Gastroenterology and Hepatology, Nims University Rajasthan, Jaipur, India
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Liu W, Li Z, Xing S, Xu Y. Effect of Admission Hyperglycemia on Short-Term Prognosis of Patients with Non-ST Elevation Acute Coronary Syndrome without Diabetes Mellitus. J Diabetes Res 2021; 2021:1321289. [PMID: 34912898 PMCID: PMC8668326 DOI: 10.1155/2021/1321289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 11/16/2021] [Accepted: 11/17/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To evaluate the effect of admission hyperglycemia on the short-term prognosis of patients with non-ST elevation acute coronary syndrome (NSTE-ACS) without diabetes mellitus. METHODS The clinical data of 498 patients with NSTE-ACS admitted to the Department of Cardiology of the First Affiliated Hospital of Henan University of Science and Technology between March 2018 and November 2020 were analyzed. Based on the blood glucose (BG) level at admission, patients were divided into three groups: A (BG < 7.8 mmol/L), B (7.8 mmol/L ≤ BG < 11.1 mmol/L), and C (BG ≥ 11.1 mmol/L). The clinical data of the three groups were compared. RESULTS There was no significant difference between the three groups in terms of age, sex, hypertension, hyperlipidemia, smoking, and history of myocardial infarction (p > 0.05). However, there were significant differences in the incidences of multivessel disease, renal insufficiency, pump failure, and emergency percutaneous coronary intervention, and levels of high-sensitivity C-reactive protein, cardiac troponin T, and creatine kinase isoenzyme MB among the three groups (p < 0.05 for all). The incidences of severe pump failure, malignant arrhythmias, and death were significantly higher in groups B and C compared to group A (p < 0.05). Additionally, the incidences of severe pump failure, malignant arrhythmias, and death were significantly higher in group C compared to group B (p < 0.05). Multivariate logistic regression analysis showed that hyperglycemia, renal insufficiency, Killip grade III/IV, and age were risk factors of in-hospital death. CONCLUSION Hyperglycemia at admission is a risk factor for adverse in-hospital clinical outcomes in patients with NSTE-ACS.
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Affiliation(s)
- Wei Liu
- Department of Cardiology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Zhijuan Li
- Department of Cardiology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Shiying Xing
- Department of Cardiology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Yanwei Xu
- School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
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Mihara A, Ohara T, Hata J, Honda T, Chen S, Sakata S, Oishi E, Hirakawa Y, Nakao T, Kitazono T, Ninomiya T. Association between serum glycated albumin and risk of cardiovascular disease in a Japanese community: The Hisayama Study. Atherosclerosis 2020; 311:52-59. [DOI: 10.1016/j.atherosclerosis.2020.08.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 08/14/2020] [Accepted: 08/27/2020] [Indexed: 01/28/2023]
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Ohara T, Furuta Y, Hirabayashi N, Hata J, Hirakawa Y, Honda T, Yoshida D, Shibata M, Kitazono T, Ninomiya T. Elevated serum glycated albumin and glycated albumin : hemoglobin A 1c ratio were associated with hippocampal atrophy in a general elderly population of Japanese: The Hisayama Study. J Diabetes Investig 2020; 11:971-979. [PMID: 31999889 PMCID: PMC7378434 DOI: 10.1111/jdi.13220] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 01/07/2020] [Accepted: 01/26/2020] [Indexed: 12/31/2022] Open
Abstract
AIMS/INTRODUCTION To investigate the association of alternative glycemic measures - namely, serum glycated albumin (GA), hemoglobin A1c (HbA1c ) and the GA : HbA1c ratio - with global brain and hippocampal atrophy in a general elderly Japanese population. MATERIALS AND METHODS A total of 1,278 Japanese individuals aged ≥65 years in a community participated in brain magnetic resonance imaging scanning and screening examination of health status in 2012. We measured total brain volume (TBV), hippocampal volume (HV) and intracranial volume (ICV) using the data from the magnetic resonance imaging examination. The association of each glycemic measure with the ratios of TBV : ICV (an indicator of global brain atrophy) and HV : ICV (an indicator of hippocampal atrophy) was examined by analysis of covariance. RESULTS The mean values of the TBV : ICV and HV : ICV ratios decreased significantly with elevating serum GA levels and GA : HbA1c ratio levels (all P for trend < 0.05), but not with higher HbA1c levels, after adjusting for age, sex, low education, systolic blood pressure, antihypertensive medication, diabetes mellitus, serum total cholesterol, electrocardiogram abnormalities, body mass index, smoking habits, alcohol drinking habits and regular exercise. These significant associations were still observed in the sensitivity analysis after excluding individuals with mild cognitive impairment and dementia. In addition, increased serum GA levels and the GA : HbA1c ratio levels, but not HbA1c , were closely associated with lower mean values of the TBV : ICV and HV : ICV ratios, irrespective of the presence or absence of diabetes mellitus. CONCLUSIONS The present study suggests that higher serum GA and higher GA : HbA1c ratio are significantly associated with global brain and hippocampal atrophy.
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Grants
- JP19dk0207025 Japan Agency for Medical Research and Development
- JP19ek0210080 Japan Agency for Medical Research and Development
- JP19ek0210082 Japan Agency for Medical Research and Development
- JP19ek0210083 Japan Agency for Medical Research and Development
- JP19fk0108075 Japan Agency for Medical Research and Development
- JP19km0405202 Japan Agency for Medical Research and Development
- H29-Junkankitou-Ippan-003 Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan
- H30-Shokuhin-[Sitei]-005 Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan
- JP16H02692 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP16H05850 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP17H04126 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP17K01853 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP17K09113 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP17K09114 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP18H02737 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP18K07565 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP18K09412 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP18K17382 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP18K17925 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP19K07890 Grants-in-Aid for Scientific Research of the Ministry of Education, Culture, Sports, Science and Technology of Japan
- Japan Agency for Medical Research and Development
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Affiliation(s)
- Tomoyuki Ohara
- Department of NeuropsychiatryGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Medicine and Clinical ScienceGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Naoki Hirabayashi
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Psychosomatic MedicineGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Jun Hata
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Medicine and Clinical ScienceGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Center for Cohort StudiesGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Medicine and Clinical ScienceGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Takanori Honda
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Daigo Yoshida
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Mao Shibata
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Psychosomatic MedicineGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Center for Cohort StudiesGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Takanari Kitazono
- Department of Medicine and Clinical ScienceGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Center for Cohort StudiesGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public HealthGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
- Department of Center for Cohort StudiesGraduate School of Medical SciencesKyushu UniversityFukuokaJapan
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Kim JA, Kim J, Roh E, Hong SH, Lee YB, Baik SH, Choi KM, Noh E, Hwang SY, Cho GJ, Yoo HJ. Association of fasting plasma glucose variability with gestational diabetes mellitus: a nationwide population-based cohort study. BMJ Open Diabetes Res Care 2020; 8:8/1/e001084. [PMID: 32327443 PMCID: PMC7202745 DOI: 10.1136/bmjdrc-2019-001084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 02/26/2020] [Accepted: 03/24/2020] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVE Long-term glycemic variability has recently been recognized as another risk factor for future adverse health outcomes. We aimed to evaluate the risk of gestational diabetes mellitus (GDM) according to the prepregnancy long-term fasting plasma glucose (FPG) variability. RESEARCH DESIGN AND METHODS A total of 164 053 women who delivered their first baby between January 1, 2012 and December 31, 2015, were selected from the Korean National Health Insurance data. All women underwent at least three national health screening examinations, and the last examination should be conducted within 2 years before their first delivery. GDM was defined as the presence of more than four times of claim of GDM (International Classification of Disease, 10th Revision (ICD-10) O24.4 and O24.9) or prescription of insulin under the ICD-code of GDM. FPG variability was assessed by variability independent of the mean (FPG-VIM), coefficient of variation, SD, and average successive variability. RESULTS Among the 164 053 women, GDM developed in 6627 (4.04%). Those in the higher quartiles of FPG-VIM showed a stepwise increased risk of GDM. In fully adjusted model, the ORs for GDM was 1.22 (95% CI 1.14 to 1.31) in women with the highest FPG-VIM quartile compared with those in the lowest quartile. The risk for GDM requiring insulin therapy was 48% increase in women in the highest quartile of FPG-VIM compared with those in the lowest quartile, while that for GDM not requiring insulin therapy was 19% increase. The association between high FPG variability and the risk of GDM was intensified in the obese and aged more than 35 years women. CONCLUSIONS Increased FPG variability in the prepregnancy state is associated with the risk of GDM independent of confounding factors. Therefore, prepregnancy FPG variability might be a surrogate marker of the risk of GDM.
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Affiliation(s)
- Jung A Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Jinsil Kim
- Smart Healthcare Cancer, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Eun Roh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - So-Hyeon Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Sei Hyun Baik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Eunjin Noh
- Smart Healthcare Cancer, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Soon Young Hwang
- Smart Healthcare Cancer, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hye Jin Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea
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Nusca A, Tuccinardi D, Proscia C, Melfi R, Manfrini S, Nicolucci A, Ceriello A, Pozzilli P, Ussia GP, Grigioni F, Di Sciascio G. Incremental role of glycaemic variability over HbA1c in identifying type 2 diabetic patients with high platelet reactivity undergoing percutaneous coronary intervention. Cardiovasc Diabetol 2019; 18:147. [PMID: 31706305 PMCID: PMC6842151 DOI: 10.1186/s12933-019-0952-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 10/25/2019] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Diabetic patients with on-treatment high platelet reactivity (HPR) show an increased risk of thrombotic events. Whether measuring glycated haemoglobin (HbA1c) levels and/or glycaemic variability (GV) may help identifying diabetic patients at higher risk deserving tailored antiplatelet and/or glucose lowering strategies is unknown. We aimed to investigate the relationship between GV, HbA1c levels and platelet reactivity in patients with type 2 diabetes mellitus (DM) undergoing percutaneous coronary intervention (PCI). METHODS Platelet reactivity was measured in type 2 DM patients using VerifyNow P2Y12 assay. HPR was defined as P2Y12 Reaction Unit (PRU) > 240. GV was expressed through mean amplitude of glycaemic excursions (MAGE) and coefficient of variance (CV) by using the iPro™ continuous glucose recorder. RESULTS Thirty-five patients (age 70 ± 9 years, 86% male, mean HbA1c 7.2 ± 1.0%) on clopidogrel therapy were enrolled. HbA1c was independently associated with HPR (OR 7.25, 95% CI 1.55-33.86, p = 0.012). Furthermore, when factored into the model, GV indexes provided independent (OR 1.094, 95% CI 1.007-1.188, p < 0.034) and additional (p < 0.001) diagnostic significance in identifying diabetic patients with HPR. CONCLUSIONS Glyco-metabolic state significantly correlates with HPR in well-controlled type 2 DM patients on clopidogrel therapy. HbA1c identifies patients at higher thrombotic risk but the highest diagnostic accuracy is achieved by combining GV and HbA1c. Whether individualized antithrombotic and glucose-lowering therapies based on the assessment of these parameters may reduce the incidence of thrombotic events in patients undergoing PCI should be further investigated.
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Affiliation(s)
- Annunziata Nusca
- Unit of Cardiac Sciences, Campus Bio-Medico University of Rome, Rome, Italy.
| | - Dario Tuccinardi
- Unit of Endocrinology and Diabetes Department of Medicine, Campus Bio-Medico University of Rome, Rome, Italy
| | - Claudio Proscia
- Cardiology Department, Liverpool Heart and Chest Hospital NHS Trust, Liverpool, UK
| | - Rosetta Melfi
- Unit of Cardiac Sciences, Campus Bio-Medico University of Rome, Rome, Italy
| | - Silvia Manfrini
- Unit of Endocrinology and Diabetes Department of Medicine, Campus Bio-Medico University of Rome, Rome, Italy
| | - Antonio Nicolucci
- Cardiovascular and Diabetes Department, IRCCS MultiMedica, Sesto San Giovanni, MI, Italy
| | - Antonio Ceriello
- Cardiovascular and Diabetes Department, IRCCS MultiMedica, Sesto San Giovanni, MI, Italy
| | - Paolo Pozzilli
- Unit of Endocrinology and Diabetes Department of Medicine, Campus Bio-Medico University of Rome, Rome, Italy
| | - Gian Paolo Ussia
- Unit of Cardiac Sciences, Campus Bio-Medico University of Rome, Rome, Italy
| | - Francesco Grigioni
- Unit of Cardiac Sciences, Campus Bio-Medico University of Rome, Rome, Italy
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