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Taylor JS, Fellman BM, Raty S, Lasala J, Iniesta MD, Cain KE, Horner AA, Bruno M, Folloder JP, Knippel SL, Khanh V, Popovich S, Katz MHG, Best C, Thosani S. Detection and Management of Perioperative Hyperglycemia at a Tertiary Cancer Center. Ann Surg Oncol 2024; 31:3017-3023. [PMID: 38347330 DOI: 10.1245/s10434-024-14986-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/15/2024] [Indexed: 04/10/2024]
Abstract
INTRODUCTION To improve the detection and management of perioperative hyperglycemia at our tertiary cancer center, we implemented a glycemic control quality improvement initiative. The primary goal was to decrease the percentage of diabetic patients with median postoperative glucose levels > 180 mg/dL during hospitalization by 15% within 2 years. METHODS A multidisciplinary team standardized preoperative screening, preoperative, intraoperative, and postoperative hyperglycemia management. We included all patients undergoing nonemergent inpatient and outpatient operations. We used a t test, rank sum, chi-square, or Fisher's exact test to assess differences in outcomes between patients at baseline (BL) (10/2018-4/2019), during the first phase (P1) (10/2019-4/2020), second phase (P2) (5/2020-12/2020), and maintenance phase (M) (1/2021-10/2022). RESULTS The analysis included 9891 BL surgical patients (1470 with diabetes), 8815 P1 patients (1233 with diabetes), 10,401 P2 patients (1531 with diabetes) and 30,410 M patients (4265 with diabetes). The percentage of diabetic patients with median glucose levels >180 mg/dL during hospitalization decreased 32% during the initiative (BL, 20.1%; P1, 16.9%; P2, 12.1%; M, 13.7% [P < .001]). We also saw reductions in the percentages of diabetic patients with median glucose levels >180 mg/dL intraoperatively (BL, 34.0%; P1, 26.6%; P2, 23.9%; M, 20.3% [P < .001]) and in the postanesthesia care unit (BL, 36.0%; P1, 30.4%; P2, 28.5%; M, 25.8% [P < .001]). The percentage of patients screened for diabetes by hemoglobin A1C increased during the initiative (BL, 17.5%; P1, 52.5%; P2, 66.8%; M 74.5% [P < .001]). CONCLUSIONS Our successful initiative can be replicated in other hospitals to standardize and improve glycemic control among diabetic surgical patients.
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Affiliation(s)
- Jolyn S Taylor
- Department of Gynecologic Oncology and Reproductive Medicine, M. D. Anderson Cancer Center, Houston, USA.
| | - Bryan M Fellman
- Department of Biostatistics, M. D. Anderson Cancer Center, Houston, USA
| | - Sally Raty
- Department of Anesthesiology, M. D. Anderson Cancer Center, Houston, USA
| | - Javier Lasala
- Department of Anesthesiology, M. D. Anderson Cancer Center, Houston, USA
| | - Maria D Iniesta
- Department of Gynecologic Oncology and Reproductive Medicine, M. D. Anderson Cancer Center, Houston, USA
| | - Katherine E Cain
- Department of Pharmacy Clinical Programs, M. D. Anderson Cancer Center, Houston, USA
| | - Allison A Horner
- Department of Breast Surgical Oncology, M. D. Anderson Cancer Center, Houston, USA
| | - Morgan Bruno
- Department of Surgical Oncology, M. D. Anderson Cancer Center, Houston, USA
| | - Justin P Folloder
- Department of Surgical Oncology, M. D. Anderson Cancer Center, Houston, USA
| | - Susan L Knippel
- Department of Thoracic and Cardiovascular Surgery, M. D. Anderson Cancer Center, Houston, USA
| | - Vu Khanh
- Department of Internal Medicine, M. D. Anderson Cancer Center, Houston, USA
| | - Shannon Popovich
- Department of Perioperative Medicine, M. D. Anderson Cancer Center, Houston, USA
| | - Matthew H G Katz
- Department of Surgical Oncology, M. D. Anderson Cancer Center, Houston, USA
| | - Conor Best
- Department of Endocrinology, M. D. Anderson Cancer Center, Houston, USA
| | - Sonali Thosani
- Department of Endocrinology, M. D. Anderson Cancer Center, Houston, USA
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Zhang Y, Guo L, Zhu H, Jiang L, Xu L, Wang D, Zhang Y, Zhao X, Sun K, Zhang C, Zhao W, Hui R, Gao R, Wang J, Yuan J, Xia Y, Song L. Effects of the stress hyperglycemia ratio on long-term mortality in patients with triple-vessel disease and acute coronary syndrome. Cardiovasc Diabetol 2024; 23:143. [PMID: 38664806 DOI: 10.1186/s12933-024-02220-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
AIMS Risk assessment for triple-vessel disease (TVD) remain challenging. Stress hyperglycemia represents the regulation of glucose metabolism in response to stress, and stress hyperglycemia ratio (SHR) is recently found to reflect true acute hyperglycemic status. This study aimed to evaluate the prognostic value of SHR and its role in risk stratification in TVD patients with acute coronary syndrome (ACS). METHODS A total of 3812 TVD patients with ACS with available baseline SHR measurement were enrolled from two independent centers. The endpoint was cardiovascular mortality. Cox regression was used to evaluate the association between SHR and cardiovascular mortality. The SYNTAX (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) II (SSII) was used as the reference model in the model improvement analysis. RESULTS During a median follow-up of 5.1 years, 219 (5.8%) TVD patients with ACS suffered cardiovascular mortality. TVD patients with ACS with high SHR had an increased risk of cardiovascular mortality after robust adjustment for confounding (high vs. median SHR: adjusted hazard ratio 1.809, 95% confidence interval 1.160-2.822, P = 0.009), which was fitted as a J-shaped pattern. The prognostic value of the SHR was found exclusively among patients with diabetes instead of those without diabetes. Moreover, addition of SHR improved the reclassification abilities of the SSII model for predicting cardiovascular mortality in TVD patients with ACS. CONCLUSIONS The high level of SHR is associated with the long-term risk of cardiovascular mortality in TVD patients with ACS, and is confirmed to have incremental prediction value beyond standard SSII. Assessment of SHR may help to improve the risk stratification strategy in TVD patients who are under acute stress.
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Affiliation(s)
- Yu Zhang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lei Guo
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China
| | - Hao Zhu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China
| | - Lin Jiang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Lianjun Xu
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Dong Wang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Yin Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Xueyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Kai Sun
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Channa Zhang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Wei Zhao
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Rutai Hui
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Runlin Gao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jizheng Wang
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China
| | - Jinqing Yuan
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
| | - Yunlong Xia
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, 222, Zhongshan Road, Dalian City, 116011, People's Republic of China.
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Cardiomyopathy Ward, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167, Beilishilu, Xicheng District, Beijing, 100037, People's Republic of China.
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Eichenlaub M, Pleus S, Rothenbühler M, Bailey TS, Bally L, Brazg R, Bruttomesso D, Diem P, Eriksson Boija E, Fokkert M, Haug C, Hinzmann R, Jendle J, Klonoff DC, Mader JK, Makris K, Moser O, Nichols JH, Nørgaard K, Pemberton J, Selvin E, Spanou L, Thomas A, Tran NK, Witthauer L, Slingerland RJ, Freckmann G. Comparator Data Characteristics and Testing Procedures for the Clinical Performance Evaluation of Continuous Glucose Monitoring Systems. Diabetes Technol Ther 2024; 26:263-275. [PMID: 38194227 PMCID: PMC10979680 DOI: 10.1089/dia.2023.0465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing. Specifically, it is proposed that at least 7.5% of comparator BG concentrations are <70 mg/dL (3.9 mmol/L) and >300 mg/dL (16.7 mmol/L), respectively, and that at least 7.5% of BG-RoC combinations indicate fast BG changes with impending hypo- or hyperglycemia, respectively. These proposed characteristics of the comparator data can facilitate the harmonization of testing conditions across different studies and CGM systems and ensure that the most relevant scenarios representing real-life situations are established during performance testing. In addition, a study protocol and testing procedure for the manipulation of glucose levels are suggested that enable the collection of comparator data with these characteristics. This work is an important step toward establishing a future standard for the performance evaluation of CGM systems.
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Affiliation(s)
- Manuel Eichenlaub
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Stefan Pleus
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
| | | | | | - Lia Bally
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Ronald Brazg
- Rainier Clinical Research Center, Renton, Washington, USA
| | - Daniela Bruttomesso
- Division of Metabolic Disease, Department of Medicine, University of Padua, Padua, Italy
| | - Peter Diem
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Endokrinologie Diabetologie Bern, Bern, Switzerland
| | - Elisabet Eriksson Boija
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Equalis AB, Uppsala, Sweden
| | - Marion Fokkert
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Cornelia Haug
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
| | - Rolf Hinzmann
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Roche Diabetes Care GmbH, Mannheim, Germany
| | - Johan Jendle
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - David C. Klonoff
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Research Institute of Mills-Peninsula Medical Center, San Mateo, California, USA
| | - Julia K. Mader
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Konstantinos Makris
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Clinical Biochemistry Department, KAT General Hospital, Athens, Greece
| | - Othmar Moser
- Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
- Department of Exercise Physiology and Metabolism, University of Bayreuth, Bayreuth, Germany
| | - James H. Nichols
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - John Pemberton
- Birmingham Women's and Children's Foundation Trust, Birmingham, United Kingdom
| | - Elizabeth Selvin
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Cardiovascular and Clinical Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Loukia Spanou
- Department of Endocrinology, Diabetes and Metabolism, Hellenic Red Cross Hospital, Athens, Greece
| | - Andreas Thomas
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Independent Scientific Consulting, Pirna, Germany
| | - Nam K. Tran
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Pathology and Laboratory Medicine, University of California Davis Health, Sacramento, California, USA
| | - Lilian Witthauer
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Diabetes Center Berne, Bern, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robbert J. Slingerland
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
- Department of Clinical Chemistry, Isala Clinics, Zwolle, The Netherlands
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
- IFCC Scientific Division, Working Group on Continuous Glucose Monitoring
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Bergman M, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 210:111636. [PMID: 38537890 DOI: 10.1016/j.diabres.2024.111636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 04/22/2024]
Affiliation(s)
- Michael Bergman
- Holman Division of Endocrinology, Diabetes and Metabolism, New York University Grossman School of Medicine, New York, NY, USA.
| | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
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International Diabetes Federation position statement recommending use of 1-hour plasma glucose test to diagnose intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 210:111646. [PMID: 38561123 DOI: 10.1016/j.diabres.2024.111646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
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Wang L, Wang C, Lang JC, Xu RD, Cong HL, Zhang JX, Hu YC, Li TT, Liu CW, Yang H, Li WY. The relative and combined ability of stress hyperglycemia ratio and N-terminal pro-B-type natriuretic peptide to predict all-cause mortality in diabetic patients with multivessel coronary artery disease. Cardiovasc Diabetol 2024; 23:93. [PMID: 38468331 PMCID: PMC10926680 DOI: 10.1186/s12933-024-02186-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are independently associated with increased mortality risk in diabetic patients with coronary artery disease (CAD). However, the role of these biomarkers in patients with diabetes and multivessel disease (MVD) remains unknown. The present study aimed to assess the relative and combined abilities of these biomarkers to predict all-cause mortality in patients with diabetes and MVD. METHODS This study included 1148 diabetic patients with MVD who underwent coronary angiography at Tianjin Chest Hospital between January 2016 and December 2016. The patients were divided into four groups according to their SHR (SHR-L and SHR-H) and NT-proBNP (NT-proBNP-L and NT-proBNP-H) levels. The primary outcome was all-cause mortality. Multivariate Cox regression analyses were performed to evaluate the association of SHR and NT-proBNP levels with all-cause mortality. RESULTS During a mean 4.2 year follow-up, 138 patients died. Multivariate analysis showed that SHR and NT-proBNP were strong independent predictors of all-cause mortality in diabetic patients with MVD (SHR: HR hazard ratio [2.171; 95%CI 1.566-3.008; P < 0.001; NT-proBNP: HR: 1.005; 95%CI 1.001-1.009; P = 0.009). Compared to patients in the first (SHR-L and NT-proBNP-L) group, patients in the fourth (SHR-H and NT-proBNP-H) group had the highest mortality risk (HR: 12.244; 95%CI 5.828-25.721; P < 0.001). The areas under the curve were 0.615(SHR) and 0.699(NT-proBNP) for all-cause mortality. Adding either marker to the original models significantly improved the C-statistic and integrated discrimination improvement values (all P < 0.05). Moreover, combining SHR and NT-proBNP levels into the original model provided maximal prognostic information. CONCLUSIONS SHR and NT-proBNP independently and jointly predicted all-cause mortality in diabetic patients with MVD, suggesting that strategies to improve risk stratification in these patients should incorporate SHR and NT-porBNP into risk algorithms.
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Affiliation(s)
- Le Wang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
- Department of Cardiology, Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Chen Wang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Jia-Chun Lang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Rong-di Xu
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Hong-Liang Cong
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China.
| | - Jing-Xia Zhang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China.
| | - Yue-Cheng Hu
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Ting-Ting Li
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Chun-Wei Liu
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
| | - Hua Yang
- Department of Cardiology, Tianjin Chest Hospital, Tianjin University, 261 Tai'erzhuang Road, Jinnan District, Tianjin, 300222, China
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Trinchillo A, Barchetti F, De Joanna G, Esposito M, Piccirillo G, Miniello S. A case of hemichorea associated with nonketotic hyperglycaemia: A new magnetic resonance spectroscopy (MRS) finding and possible future implications. Clin Physiol Funct Imaging 2024; 44:131-135. [PMID: 37961026 DOI: 10.1111/cpf.12865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Diabetic Striatopathy (DS) is a rare complication of a poor-controlled Diabetes Mellitus consisting of sudden onset of movement disorders. To date, there is still poor knowledge about the pathogenesis. CASE We describe a 79 year old men affected by sudden onset hemichoreic movements whose cause was a non-ketotic hyperglycaemia diagnosed despite the normal blood glucose levels thanks to brain CT and magnetic resonance imaging. Then, we introduce a new magnetic resonance spectroscopy (MRS) finding never described until today which allowed us to produce a new pathogenetic theory of a phenomenon still without definitive explanations. LITERATURE REVIEW We performed a review of DS cases using the Medline database and we extracted main data regarding imaging findings. CONCLUSIONS Thanks to our MRS we show new imaging findings never described until today, with a new pathogenetic explanation, since all the causative hypotheses produced during the past years have never found evidence.
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Affiliation(s)
- Assunta Trinchillo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, "Federico II" University, Naples, Italy
| | - Flavio Barchetti
- Neuroradiology Unit, Sant'Anna e San Sebastiano Hospital, Caserta, Italy
| | | | - Marcello Esposito
- Department of Neurophysiology, A.O.R.N. A. Cardarelli, Naples, Italy
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Bergman M, Manco M, Satman I, Chan J, Inês Schmidt M, Sesti G, Vanessa Fiorentino T, Abdul-Ghani M, Jagannathan R, Kumar Thyparambil Aravindakshan P, Gabriel R, Mohan V, Buysschaert M, Bennakhi A, Pascal Kengne A, Dorcely B, Nilsson PM, Tuomi T, Battelino T, Hussain A, Ceriello A, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111589. [PMID: 38458916 DOI: 10.1016/j.diabres.2024.111589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024]
Abstract
Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.
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Affiliation(s)
- Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and of Population Health, Division of Endocrinology, Diabetes and Metabolism, VA New York Harbor Healthcare System, New York, NY, USA.
| | - Melania Manco
- Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ilhan Satman
- Istanbul University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul, Turkey
| | - Juliana Chan
- The Chinese University of Hong Kong, Faculty of Medicine, Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Ram Jagannathan
- Hubert Department of Global Health Rollins, School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Abdullah Bennakhi
- Dasman Diabetes Institute Office of Regulatory Affairs, Ethics Review Committee, Kuwait
| | - Andre Pascal Kengne
- South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY, USA
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | | | - Akhtar Hussain
- Faculty of Health Sciences, Nord University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation (IDF), Brussels, Belgium; Diabetes in Asia Study Group, Post Box: 752, Doha-Qatar; Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
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9
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Regnault N, Lebreton E, Tang L, Fosse-Edorh S, Barry Y, Olié V, Billionnet C, Weill A, Vambergue A, Cosson E. Maternal and neonatal outcomes according to the timing of diagnosis of hyperglycaemia in pregnancy: a nationwide cross-sectional study of 695,912 deliveries in France in 2018. Diabetologia 2024; 67:516-527. [PMID: 38182910 PMCID: PMC10844424 DOI: 10.1007/s00125-023-06066-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 11/02/2023] [Indexed: 01/07/2024]
Abstract
AIMS/HYPOTHESIS We aimed to assess maternal-fetal outcomes according to various subtypes of hyperglycaemia in pregnancy. METHODS We used data from the French National Health Data System (Système National des Données de Santé), which links individual data from the hospital discharge database and the French National Health Insurance information system. We included all deliveries after 22 gestational weeks (GW) in women without pre-existing diabetes recorded in 2018. Women with hyperglycaemia were classified as having overt diabetes in pregnancy or gestational diabetes mellitus (GDM), then categorised into three subgroups according to their gestational age at the time of GDM diagnosis: before 22 GW (GDM<22); between 22 and 30 GW (GDM22-30); and after 30 GW (GDM>30). Adjusted prevalence ratios (95% CI) for the outcomes were estimated after adjusting for maternal age, gestational age and socioeconomic status. Due to the multiple tests, we considered an association to be statistically significant according to the Holm-Bonferroni procedure. To take into account the potential immortal time bias, we performed analyses on deliveries at ≥31 GW and deliveries at ≥37 GW. RESULTS The study population of 695,912 women who gave birth in 2018 included 84,705 women (12.2%) with hyperglycaemia in pregnancy: overt diabetes in pregnancy, 0.4%; GDM<22, 36.8%; GDM22-30, 52.4%; and GDM>30, 10.4%. The following outcomes were statistically significant after Holm-Bonferroni adjustment for deliveries at ≥31 GW using GDM22-30 as the reference. Caesarean sections (1.54 [1.39, 1.72]), large-for-gestational-age (LGA) infants (2.00 [1.72, 2.32]), Erb's palsy or clavicle fracture (6.38 [2.42, 16.8]), preterm birth (1.84 [1.41, 2.40]) and neonatal hypoglycaemia (1.98 [1.39, 2.83]) were more frequent in women with overt diabetes. Similarly, LGA infants (1.10 [1.06, 1.14]) and Erb's palsy or clavicle fracture (1.55 [1.22, 1.99]) were more frequent in GDM<22. LGA infants (1.44 [1.37, 1.52]) were more frequent in GDM>30. Finally, women without hyperglycaemia in pregnancy were less likely to have preeclampsia or eclampsia (0.74 [0.69, 0.79]), Caesarean section (0.80 [0.79, 0.82]), pregnancy and postpartum haemorrhage (0.93 [0.89, 0.96]), LGA neonate (0.67 [0.65, 0.69]), premature neonate (0.80 [0.77, 0.83]) and neonate with neonatal hypoglycaemia (0.73 [0.66, 0.82]). Overall, the results were similar for deliveries at ≥37 GW. Although the estimation of the adjusted prevalence ratio of perinatal death was five times higher (5.06 [1.87, 13.7]) for women with overt diabetes, this result was non-significant after Holm-Bonferroni adjustment. CONCLUSIONS/INTERPRETATION Compared with GDM22-30, overt diabetes, GDM<22 and, to a lesser extent, GDM>30 were associated with poorer maternal-fetal outcomes.
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Affiliation(s)
- Nolwenn Regnault
- Santé Publique France, the national public health agency, Saint-Maurice, France
| | - Elodie Lebreton
- Santé Publique France, the national public health agency, Saint-Maurice, France
| | - Luveon Tang
- Santé Publique France, the national public health agency, Saint-Maurice, France
| | | | - Yaya Barry
- Santé Publique France, the national public health agency, Saint-Maurice, France
| | - Valérie Olié
- Santé Publique France, the national public health agency, Saint-Maurice, France
| | | | - Alain Weill
- EPI-PHARE Epidemiology of Health Products, French National Agency for Medicines and Health Products Safety (ANSM) and French National Health Insurance (CNAM), Saint-Denis, France
| | - Anne Vambergue
- Endocrinology, Diabetology, Metabolism and Nutrition Department, Lille University Hospital, European Genomics Institute for Diabetes, University of Lille, Lille, France
| | - Emmanuel Cosson
- Department of Diabetology-Endocrinology-Nutrition, CRNH-IdF, CINFO, Paris 13 University, Sorbonne Paris Cité, AP-HP, Avicenne Hospital, Bobigny, France.
- Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), Université Sorbonne Paris Nord and Université Paris CitéInserm, INRAE, CNAM, Bobigny, France.
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10
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Simon R, Shah A, Shah B. Hyperosmolar Nonketotic Hyperglycemia. Pediatr Rev 2024; 45:169-171. [PMID: 38425160 DOI: 10.1542/pir.2022-005563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Affiliation(s)
| | - Ami Shah
- Division of Pediatric Critical Care Medicine
| | - Bina Shah
- Division of Pediatric Endocrinology, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY
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11
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Kuang W, Raven LM, Muir CA. Early post-transplant hyperglycemia and post-transplant diabetes mellitus following heart transplantation. Expert Rev Endocrinol Metab 2024; 19:129-140. [PMID: 38251642 DOI: 10.1080/17446651.2024.2307011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/15/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION Heart transplantation is an important treatment for end-stage heart failure. Early post-transplant hyperglycemia (EPTH) and post-transplant diabetes mellitus (PTDM) are common following heart transplantation and are associated with increased morbidity and mortality. AREAS COVERED This review summarizes the clinical characteristics, diagnosis, and treatment of EPTH and PTDM in cardiac transplant patients, incorporating findings from non-cardiac solid organ transplant studies where relevant due to limited heart-specific research. EXPERT OPINION EPTH following heart transplantation is common yet understudied and is associated with the later development of PTDM. PTDM is associated with adverse outcomes including infection, renal dysfunction, microvascular disease, and an increased risk of re-transplantation and mortality. Risk factors for EPTH include the post-operative immunosuppression regimen, recipient and donor age, body mass index, infections, and chronic inflammation. Early insulin treatment is recommended for EPTH, whereas PTDM management is varied and includes lifestyle modification, anti-glycemic agents, and insulin. Given the emerging evidence on the transplant benefits associated with effective glucose control, and the cardioprotective potential of newer anti-glycemic agents, further focus on the management of EPTH and PTDM within heart transplant recipients is imperative.
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Affiliation(s)
- William Kuang
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
| | - Lisa M Raven
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Christopher A Muir
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
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12
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Dave D, Vyas K, Branan K, McKay S, DeSalvo DJ, Gutierrez-Osuna R, Cote GL, Erraguntla M. Detection of Hypoglycemia and Hyperglycemia Using Noninvasive Wearable Sensors: Electrocardiograms and Accelerometry. J Diabetes Sci Technol 2024; 18:351-362. [PMID: 35927975 PMCID: PMC10973850 DOI: 10.1177/19322968221116393] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Monitoring glucose excursions is important in diabetes management. This can be achieved using continuous glucose monitors (CGMs). However, CGMs are expensive and invasive. Thus, alternative low-cost noninvasive wearable sensors capable of predicting glycemic excursions could be a game changer to manage diabetes. METHODS In this article, we explore two noninvasive sensor modalities, electrocardiograms (ECGs) and accelerometers, collected on five healthy participants over two weeks, to predict both hypoglycemic and hyperglycemic excursions. We extract 29 features encompassing heart rate variability features from the ECG, and time- and frequency-domain features from the accelerometer. We evaluated two machine learning approaches to predict glycemic excursions: a classification model and a regression model. RESULTS The best model for both hypoglycemia and hyperglycemia detection was the regression model based on ECG and accelerometer data, yielding 76% sensitivity and specificity for hypoglycemia and 79% sensitivity and specificity for hyperglycemia. This had an improvement of 5% in sensitivity and specificity for both hypoglycemia and hyperglycemia when compared with using ECG data alone. CONCLUSIONS Electrocardiogram is a promising alternative not only to detect hypoglycemia but also to predict hyperglycemia. Supplementing ECG data with contextual information from accelerometer data can improve glucose prediction.
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Affiliation(s)
- Darpit Dave
- Wm Michael Barnes '64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA
| | - Kathan Vyas
- Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
| | - Kimberly Branan
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
| | - Siripoom McKay
- Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital Clinical Care Center, Houston, TX, USA
| | - Daniel J. DeSalvo
- Baylor College of Medicine, Houston, TX, USA
- Texas Children’s Hospital Clinical Care Center, Houston, TX, USA
| | - Ricardo Gutierrez-Osuna
- Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA
| | - Gerard L. Cote
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
| | - Madhav Erraguntla
- Wm Michael Barnes '64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA
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13
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Ding L, Zhang H, Dai C, Zhang A, Yu F, Mi L, Qi Y, Tang M. The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005-2018. Cardiovasc Diabetol 2024; 23:84. [PMID: 38419029 PMCID: PMC10902955 DOI: 10.1186/s12933-024-02172-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/17/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND The Stress hyperglycemia ratio (SHR) is a novel marker reflecting the true acute hyperglycemia status and is associated with clinical adverse events. The relationship between SHR and mortality in patients with diabetes or prediabetes is still unclear. This study aimed to investigate the predictive value of the SHR for all-cause and cardiovascular mortality in patients with diabetes or prediabetes. METHODS This study included 11,160 patients diagnosed with diabetes or prediabetes from the National Health and Nutrition Examination Survey (2005-2018). The study endpoints were all-cause and cardiovascular mortality, and morality data were extracted from the National Death Index (NDI) up to December 31, 2019. Patients were divided into SHR quartiles. Cox proportion hazards regression was applied to determine the prognostic value of SHR. Model 1 was not adjusted for any covariates. Model 2 was adjusted for age, sex, and race. Model 3 was adjusted for age, sex, race, BMI, smoking status, alcohol use, hypertension, CHD, CKD, anemia, and TG. RESULTS During a mean follow-up of 84.9 months, a total of 1538 all-cause deaths and 410 cardiovascular deaths were recorded. Kaplan-Meier survival analysis showed the lowest all-cause mortality incidence was in quartile 3 (P < 0.001). Multivariate Cox regression analyses indicated that, compared to the 1st quartile, the 4th quartile was associated with higher all-cause mortality (model 1: HR = 0.89, 95% CI 0.74-10.7, P = 0.226; model 2: HR = 1.24, 95% CI 1.03-1.49, P = 0.026; model 3: HR = 1.30, 95% CI 1.08-1.57, P = 0.006). The 3rd quartile was associated with lower cardiovascular mortality than quartile 1 (model 1: HR = 0.47, 95% CI 0.32-0.69, P < 0.001; model 2: HR = 0.66, 95% CI 0.45-0.96, P = 0.032; model 3: HR = 0.68, 95% CI 0.46-0.99, P = 0.049). There was a U-shaped association between SHR and all-cause mortality and an L-shaped association between SHR and cardiovascular mortality, with inflection points of SHR for poor prognosis of 0.87 and 0.93, respectively. CONCLUSION SHR is related to all-cause and cardiovascular mortality in patients with diabetes or prediabetes. SHR may have predictive value in those patients.
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Affiliation(s)
- Lei Ding
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Hongda Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Cong Dai
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, Beijing, 100191, China
| | - Aikai Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Fengyuan Yu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Lijie Mi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Yingjie Qi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Min Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, Cardiovascular Institute, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China.
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14
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Obeagu EI. Red blood cells as biomarkers and mediators in complications of diabetes mellitus: A review. Medicine (Baltimore) 2024; 103:e37265. [PMID: 38394525 DOI: 10.1097/md.0000000000037265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2024] Open
Abstract
Red blood cells (RBCs), traditionally recognized for their oxygen transport role, have garnered increasing attention for their significance as crucial contributors to the pathophysiology of diabetes mellitus. In this comprehensive review, we elucidate the multifaceted roles of RBCs as both biomarkers and mediators in diabetes mellitus. Amidst the intricate interplay of altered metabolic pathways and the diabetic milieu, RBCs manifest distinct alterations in their structure, function, and lifespan. The chronic exposure to hyperglycemia induces oxidative stress, leading to modifications in RBC physiology and membrane integrity. These modifications, including glycation of hemoglobin (HbA1c), establish RBCs as invaluable biomarkers for assessing glycemic control over extended periods. Moreover, RBCs serve as mediators in the progression of diabetic complications. Their involvement in vascular dysfunction, hemorheological changes, and inflammatory pathways contributes significantly to diabetic microangiopathy and associated complications. Exploring the therapeutic implications, this review addresses potential interventions targeting RBC abnormalities to ameliorate diabetic complications. In conclusion, comprehending the nuanced roles of RBCs as biomarkers and mediators in diabetes mellitus offers promising avenues for enhanced diagnostic precision, therapeutic interventions, and improved patient outcomes. This review consolidates the current understanding and emphasizes the imperative need for further research to harness the full potential of RBC-related insights in the realm of diabetes mellitus.
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15
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Hu X, Feng D, Zhang Y, Wang C, Chen Y, Niu G, Zhou Z, Zhao Z, Zhang H, Wang M, Wu Y. Prognostic effect of stress hyperglycemia ratio on patients with severe aortic stenosis receiving transcatheter aortic valve replacement: a prospective cohort study. Cardiovasc Diabetol 2024; 23:73. [PMID: 38365751 PMCID: PMC10870928 DOI: 10.1186/s12933-024-02160-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/08/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Stress hyperglycemia ratio (SHR) has recently been recognized as a novel biomarker that accurately reflects acute hyperglycemia status and is associated with poor prognosis of heart failure. We evaluated the relationship between SHR and clinical outcomes in patients with severe aortic stenosis receiving transcatheter aortic valve replacement (TAVR). METHODS There were 582 patients with severe native aortic stenosis who underwent TAVR consecutively enrolled in the study. The formula used to determine SHR was as follows: admission blood glucose (mmol/L)/(1.59×HbA1c[%]-2.59). The primary endpoint was defined as all-cause mortality, while secondary endpoints included a composite of cardiovascular mortality or readmission for heart failure, and major adverse cardiovascular events (MACE) including cardiovascular mortality, non-fatal myocardial infarction, and non-fatal stroke. Multivariable Cox regression and restricted cubic spline analysis were employed to assess the relationship between SHR and endpoints, with hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS During a median follow-up of 3.9 years, a total of 130 cases (22.3%) of all-cause mortality were recorded. Results from the restricted cubic spline analysis indicated a linear association between SHR and all endpoints (p for non-linearity > 0.05), even after adjustment for other confounding factors. Per 0.1 unit increase in SHR was associated with a 12% (adjusted HR: 1.12, 95% CI: 1.04-1.21) higher incidence of the primary endpoint, a 12% (adjusted HR: 1.12, 95% CI: 1.02-1.22) higher incidence of cardiovascular mortality or readmission for heart failure, and a 12% (adjusted HR: 1.12, 95% CI: 1.01-1.23) higher incidence of MACE. Subgroup analysis revealed that SHR had a significant interaction with diabetes mellitus with regard to the risk of all-cause mortality (p for interaction: 0.042). Kaplan-Meier survival analysis showed that there were significant differences in the incidence of all endpoints between the two groups with 0.944 as the optimal binary cutoff point of SHR (all log-rank test: p < 0.05). CONCLUSIONS Our study indicates linear relationships of SHR with the risk of all-cause mortality, cardiovascular mortality or readmission for heart failure, and MACE in patients with severe aortic stenosis receiving TAVR after a median follow-up of 3.9 years. Patients with an SHR exceeding 0.944 had a poorer prognosis compared to those with lower SHR values.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dejing Feng
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuxuan Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Can Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Chen
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Guannan Niu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Zhou
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhenyan Zhao
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongliang Zhang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Moyang Wang
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yongjian Wu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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16
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Mohammed AQ, Luo Y, Wang K, Su Y, Liu L, Yin G, Zhang W, Alifu JJ, Mareai RM, Mohammed AA, Xu Y, Abdu FA, Che W. Stress hyperglycemia ratio as a prognostic indicator for long-term adverse outcomes in heart failure with preserved ejection fraction. Cardiovasc Diabetol 2024; 23:67. [PMID: 38350936 PMCID: PMC10865536 DOI: 10.1186/s12933-024-02157-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 02/07/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Recent studies highlighted that stress hyperglycemia ratio (SHR) is a potential predictor for future risk in heart failure (HF) patients. However, its implications specifically in HF with preserved ejection fraction (HFpEF) are not yet fully elucidated. We aimed to investigate the association between SHR and long-term clinical outcomes in HFpEF patients. METHODS HFpEF patients enrolled between 2015 and 2023, were followed (mean 41 months) for a composite outcome of all-cause, cardiovascular mortality, and HF rehospitalization. SHR was established as the ratio of acute-chronic glycemia from admission blood glucose and glycated hemoglobin. The optimal cut-off for SHR to predict outcomes based on event prediction was determined through ROC analysis, and the cutoff was identified at 0.99. The effect of SHR on adverse risk was examined through the Cox hazards and Kaplan-Meier survival methods. A Pearson correlation analysis was conducted to assess the relationship between SHR and the severity of HF, as indicated by N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Furthermore, the incremental prognostic value of SHR was further assessed by the integrated discrimination improvement (IDI) and the net reclassification improvement (NRI). RESULTS Among the 400 enrolled patients, 190 individuals (47.5%) encountered composite events over the 41-month follow-up period. SHR was significantly elevated in patients with events compared with those without (p < 0.001). All patients were stratified into high SHR (n = 124) and low SHR (n = 276) groups based on the SHR cutoff. The high SHR group had a significantly higher incidence of adverse events than the low SHR group (log-rank; p < 0.001). Additional analysis indicated a poorer prognosis in patients with low left ventricular EF (LVEF) levels (50 < LVEF < 60) and high SHR (SHR > 0.99) in comparison to the other groups (log-rank p < 0.001). In adjusted analysis, after accounting for age, sex, diabetes, and NT-proBNP, elevated SHR remained independently predictive of adverse outcomes (adjusted HR: 2.34, 95% CI 1.49-3.67; p < 0.001). Furthermore, adding SHR to a model with MAGGIC score provided an incremental improvement in predicting adverse events. Additionally, SHR displayed a slight correlation with NT-proBNP. CONCLUSION Elevated SHR was independently associated with an increased risk for composite events of all-cause, cardiovascular mortality, and HF readmission than those with lower SHR. SHR is a valuable tool for predicting and stratifying long-term adverse risks among HFpEF patients.
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Affiliation(s)
- Abdul-Quddus Mohammed
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Yongqiang Luo
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Kaitao Wang
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Yang Su
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Lu Liu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Guoqing Yin
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Wen Zhang
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - J Jiasuer Alifu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Redhwan M Mareai
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Ayman A Mohammed
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Yawei Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China
| | - Fuad A Abdu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
| | - Wenliang Che
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, 200072, China.
- Department of Cardiology, Shanghai Tenth People's Hospital Chongming branch, Shanghai, China.
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17
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Li K, Yang X, Li Y, Xu G, Ma Y. Relationship between stress hyperglycaemic ratio and incidence of in-hospital cardiac arrest in patients with acute coronary syndrome: a retrospective cohort study. Cardiovasc Diabetol 2024; 23:59. [PMID: 38336786 PMCID: PMC10858560 DOI: 10.1186/s12933-024-02128-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/08/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND The stress hyperglycaemic ratio (SHR), a new marker that reflects the true hyperglycaemic state of patients with acute coronary syndrome (ACS), is strongly associated with adverse clinical outcomes in these patients. Studies on the relationship between the SHR and in-hospital cardiac arrest (IHCA) incidence are limited. This study elucidated the relationship between the SHR and incidence of IHCA in patients with ACS. METHODS In total, 1,939 patients with ACS who underwent percutaneous coronary intervention (PCI) at the Affiliated Hospital of Zunyi Medical University were included. They were divided into three groups according to the SHR: group T1 (SHR ≤ 0.838, N = 646), group T2 (0.838< SHR ≤ 1.140, N = 646), and group T3 (SHR3 > 1.140, N = 647). The primary endpoint was IHCA incidence. RESULTS The overall IHCA incidence was 4.1% (N = 80). After adjusting for covariates, SHR was significantly associated with IHCA incidence in patients with ACS who underwent PCI (odds ratio [OR] = 2.6800; 95% confidence interval [CI] = 1.6200-4.4300; p<0.001), and compared with the T1 group, the T3 group had an increased IHCA risk (OR = 2.1800; 95% CI = 1.2100-3.9300; p = 0.0090). In subgroup analyses, after adjusting for covariates, patients with ST-segment elevation myocardial infarction (STEMI) (OR = 3.0700; 95% CI = 1.4100-6.6600; p = 0.0050) and non-STEMI (NSTEMI) (OR = 2.9900; 95% CI = 1.1000-8.1100; p = 0.0310) were at an increased IHCA risk. After adjusting for covariates, IHCA risk was higher in patients with diabetes mellitus (DM) (OR = 2.5900; 95% CI = 1.4200-4.7300; p = 0.0020) and those without DM (non-DM) (OR = 3.3000; 95% CI = 1.2700-8.5800; p = 0.0140); patients with DM in the T3 group had an increased IHCA risk compared with those in the T1 group (OR = 2.4200; 95% CI = 1.0800-5.4300; p = 0.0320). The restriction cubic spline (RCS) analyses revealed a dose-response relationship between IHCA incidence and SHR, with an increased IHCA risk when SHR was higher than 1.773. Adding SHR to the baseline risk model improved the predictive value of IHCA in patients with ACS treated with PCI (net reclassification improvement [NRI]: 0.0734 [0.0058-0.1409], p = 0.0332; integrated discrimination improvement [IDI]: 0.0218 [0.0063-0.0374], p = 0.0060). CONCLUSIONS In patients with ACS treated with PCI, the SHR was significantly associated with the incidence of IHCA. The SHR may be a useful predictor of the incidence of IHCA in patients with ACS. The addition of the SHR to the baseline risk model had an incremental effect on the predictive value of IHCA in patients with ACS treated with PCI.
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Affiliation(s)
- Kui Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Xueyuan Yang
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Yunhang Li
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China
| | - Guanxue Xu
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China.
| | - Yi Ma
- Department of Cardiovascular Medicine, Affiliated Hospital of Zunyi Medical University, No. 149 Dalian Road, Zunyi, 563099, Guizhou, China.
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18
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Kaminski CY, Galindo RJ, Navarrete JE, Zabala Z, Moazzami B, Gerges A, McCoy RG, Fayfman M, Vellanki P, Idrees T, Peng L, Umpierrez GE. Assessment of Glycemic Control by Continuous Glucose Monitoring, Hemoglobin A1c, Fructosamine, and Glycated Albumin in Patients With End-Stage Kidney Disease and Burnt-Out Diabetes. Diabetes Care 2024; 47:267-271. [PMID: 38085705 DOI: 10.2337/dc23-1276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/13/2023] [Indexed: 01/21/2024]
Abstract
OBJECTIVE Patients with diabetes and end-stage kidney disease (ESKD) may experience "burnt-out diabetes," defined as having an HbA1c value <6.5% without antidiabetic therapy for >6 months. We aim to assess glycemic control by continuous glucose monitoring (Dexcom G6 CGM) metrics and glycemic markers in ESKD patients on hemodialysis with burnt-out diabetes. RESEARCH DESIGN AND METHODS In this pilot prospective study, glycemic control was assessed by continuous glucose monitoring (CGM), HbA1c measures, and glycated albumin and fructosamine measurements in patients with burnt-out diabetes (n = 20) and without a history of diabetes (n = 20). RESULTS Patients with burnt-out diabetes had higher CGM-measured daily glucose levels, lower percent time in the range 70-180 mg/dL, higher percent time above range (>250 mg/dL), and longer duration of hyperglycemia >180 mg/dL (hours/day) compared with patients without diabetes (all P < 0.01). HbA1c and fructosamine levels were similar; however, patients with burnt-out diabetes had higher levels of glycated albumin than did patients without diabetes. CONCLUSIONS The use of CGM demonstrated that patients with burnt-out diabetes have significant undiagnosed hyperglycemia. CGM and glycated albumin provide better assessment of glycemic control than do values of HbA1c and fructosamine in patients with ESKD.
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Affiliation(s)
| | - Rodolfo J Galindo
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Jose E Navarrete
- Division of Nephrology, Department of Medicine, Emory University, Atlanta, GA
| | - Zohyra Zabala
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Bobak Moazzami
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Amany Gerges
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Rozalina G McCoy
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
- University of Maryland Institute for Health Computing, Bethesda, MD
| | - Maya Fayfman
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Priyathama Vellanki
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Thaer Idrees
- Division of Endocrinology, Department of Medicine, Emory University, Atlanta, GA
| | - Limin Peng
- Emory University Rollins School of Public Health, Atlanta, GA
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19
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Tang L, Lebreton E, Vambergue A, Fosse-Edorh S, Olié V, Barry Y, Weill A, Cosson E, Regnault N. Cross-sectional study examining factors impacting on uptake of postpartum type 2 diabetes screening among women diagnosed with hyperglycaemia in pregnancy. Diabetes Res Clin Pract 2024; 208:111116. [PMID: 38266823 DOI: 10.1016/j.diabres.2024.111116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/16/2024] [Accepted: 01/21/2024] [Indexed: 01/26/2024]
Abstract
AIMS Early postpartum glucose screening of women with hyperglycaemia in pregnancy (HIP) can identify women who have the highest risk of developing impaired glucose tolerance and T2DM. This study examines the association between demographics, events during pregnancy, socioeconomic status and postpartum T2DM screening. METHODS Using the French National Health Data System, this cross-sectional study included all deliveries where the mother had HIP in France in 2015, (n = 76,862). The odds ratio (OR) for attending postpartum screening was calculated via multi-level logistic regression. RESULTS T2DM screening uptake at six months postpartum was 42·9% [95 % Confidence Interval: 42·6-43·3]. Several characteristics were associated with lower uptake: living in the most deprived area(OR = 0·78[0·74-0·83]); being < 25 years-old (reference age group 25-29;≤17: 0.53 [0·31-0·90];18-24: 0.73[0·69-0·78]); smoking (0·65[0·62-0·68]); obesity (0·93[0·89-0·97]); caesarean delivery (0·95[0·92-0·99]). Factors associated with higher uptake included primiparity (1·30[1·26-1·34]); having followed the French recommendations for HIP screening (1·24[1·20-1·28]); insulin prescription (1·75[1·69-1·81]) and pre-eclampsia (1·30[1·19-1·42]). p < 0.01 is justified due to sample size. CONCLUSION Improving identification of factors affecting postpartum T2DM screening uptake, such as demographics, socioeconomic context and events during pregnancy, may lead to development of target interventions to aide adherence to screening regime and thereby diagnosis of women with prediabetes or diabetes, for whom secondary and tertiary prevention is crucial.
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Affiliation(s)
- Luveon Tang
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France.
| | - Elodie Lebreton
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France
| | - Anne Vambergue
- Endocrinology, Diabetology, Metabolism and Nutrition Department, Lille University Hospital, European Genomics Institute for Diabetes, University of Lille, France
| | - Sandrine Fosse-Edorh
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France
| | - Valérie Olié
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France
| | - Yaya Barry
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France
| | - Alain Weill
- EPI-PHARE Epidemiology of Health Products, French National Agency for Medicines and Health Products Safety (ANSM) and French National Health Insurance (CNAM), Saint-Denis, France; Paris 13 University, Sorbonne Paris Cité, AP-HP, Avicenne Hospital, Department of Endocrinology, CRNH-IdF, CINFO, Bobigny, France
| | - Emmanuel Cosson
- Paris 13 University, Sorbonne Paris Cité, UMR U557 INSERM/U11125 INRA, France
| | - Nolwenn Regnault
- Santé Publique France, French National Public Health Agency, S(t) Maurice, France
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20
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Sfameni SF, Wein P, Sfameni AM. Establishing novel diagnostic criteria for the glucose tolerance test for the diagnosis of gestational diabetes and gestational hyperglycemia. Int J Gynaecol Obstet 2024; 164:758-762. [PMID: 37675789 DOI: 10.1002/ijgo.15074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 08/05/2023] [Accepted: 08/17/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVE To establish diagnostic criteria for the 75-g 2-h glucose tolerance test (GTT) to diagnose gestational diabetes and define the clinical entity of gestational hyperglycemia. METHODS A retrospective analysis was performed of the results from 500 patients who had a 75-g 1-h glucose challenge test (GCT) in early pregnancy as part of a two-step approach to screening and testing for gestational diabetes. The selected cohort was considered to have normal islet β-cell function, and upper glycemic levels of normal glucose tolerance in the third trimester were statistically calculated, taking the cutoff threshold values to be the diagnostic criteria for the 75-g 2-h GTT. Gestational hyperglycemia was diagnosed from the false-positive GCT result when ≥8.0 mmol/L (144 mg/dL). RESULTS The diagnostic criteria for the 75-g 2-h GTT were calculated as follows: fasting plasma glucose ≥5.4 mmol/L (97 mg/dL); 1-h plasma glucose ≥10.5 mmol/L (189 mg/dL); and 2-h plasma glucose ≥8.4 mmol/L (151 mg/dL). The new criteria confirmed a prevalence of gestational diabetes of 11.1% and gestational hyperglycemia of 13.6% in the study population. CONCLUSION Novel diagnostic criteria for the 75-g 2-h GTT were established by statistical analysis. This resulted in a more acceptable prevalence of gestational diabetes in our community and the false-positive GCT allowed the detection of gestational hyperglycemia.
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Affiliation(s)
- Salvatore F Sfameni
- Department of Obstetrics and Gynaecology, The Northern Hospital, Melbourne, Victoria, Australia
| | - Peter Wein
- Department of Obstetrics, Freemason's Hospital, Melbourne, Victoria, Australia
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21
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Skroce K, Zignoli A, Fontana FY, Maturana FM, Lipman D, Tryfonos A, Riddell MC, Zisser HC. Real World Interstitial Glucose Profiles of a Large Cohort of Physically Active Men and Women. Sensors (Basel) 2024; 24:744. [PMID: 38339464 PMCID: PMC10857405 DOI: 10.3390/s24030744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024]
Abstract
The use of continuous glucose monitors (CGMs) in individuals living without diabetes is increasing. The purpose of this study was to profile various CGM metrics around nutritional intake, sleep and exercise in a large cohort of physically active men and women living without any known metabolic disease diagnosis to better understand the normative glycemic response to these common stimuli. A total of 12,504 physically active adults (age 40 ± 11 years, BMI 23.8 ± 3.6 kg/m2; 23% self-identified as women) wore a real-time CGM (Abbott Libre Sense Sport Glucose Biosensor, Abbott, USA) and used a smartphone application (Supersapiens Inc., Atlanta, GA, USA) to log meals, sleep and exercise activities. A total of >1 M exercise events and 274,344 meal events were analyzed. A majority of participants (85%) presented an overall (24 h) average glucose profile between 90 and 110 mg/dL, with the highest glucose levels associated with meals and exercise and the lowest glucose levels associated with sleep. Men had higher mean 24 h glucose levels than women (24 h-men: 100 ± 11 mg/dL, women: 96 ± 10 mg/dL). During exercise, the % time above >140 mg/dL was 10.3 ± 16.7%, while the % time <70 mg/dL was 11.9 ± 11.6%, with the remaining % within the so-called glycemic tight target range (70-140 mg/dL). Average glycemia was also lower for females during exercise and sleep events (p < 0.001). Overall, we see small differences in glucose trends during activity and sleep in females as compared to males and higher levels of both TAR and TBR when these active individuals are undertaking or competing in endurance exercise training and/or competitive events.
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Affiliation(s)
- Kristina Skroce
- Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
| | - Andrea Zignoli
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
- Department of Industrial Engineering, University of Trento, 38123 Trento, Italy
| | - Federico Y. Fontana
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism (UDEM), Bern University Hospital, University of Bern, 3010 Bern, Switzerland;
| | - Felipe M. Maturana
- Sports Medicine Department, University Hospital of Tübingen, 72076 Tübingen, Germany
| | - David Lipman
- Supersapiens Inc., Atlanta, GA 30318, USA; (A.Z.); (H.C.Z.)
| | - Andrea Tryfonos
- Department of Laboratory Medicine, Division of Clinical Physiology, Karolinska Institute, 171 77 Stockholm, Sweden;
- School of Science, Department of Life Science, European University Cyprus, Nicosia 1516, Cyprus
| | - Michael C. Riddell
- School of Kinesiology and Health Science, Muscle Health Research Centre, York University, Toronto, ON M3J 1P3, Canada;
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22
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Li L, Ding L, Zheng L, Wu L, Hu Z, Liu L, Yao Y. Relationship between stress hyperglycemia ratio and acute kidney injury in patients with congestive heart failure. Cardiovasc Diabetol 2024; 23:29. [PMID: 38218835 PMCID: PMC10787441 DOI: 10.1186/s12933-023-02105-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 12/27/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR) has been demonstrated as an independent risk factor for acute kidney injury (AKI) in certain populations. However, this relationship in patients with congestive heart failure (CHF) remains unclear. Our study sought to elucidate the relationship between SHR and AKI in patients with CHF. METHODS A total of 8268 patients with CHF were included in this study. We categorized SHR into distinct groups and evaluated its association with mortality through logistic or Cox regression analyses. Additionally, we applied the restricted cubic spline (RCS) analysis to explore the relationship between SHR as a continuous variable and the occurrence of AKI. The primary outcome of interest in this investigation was the incidence of AKI during hospitalization. RESULTS Within this patient cohort, a total of 5,221 (63.1%) patients experienced AKI during their hospital stay. Upon adjusting for potential confounding variables, we identified a U-shaped correlation between SHR and the occurrence of AKI, with an inflection point at 0.98. When the SHR exceeded 0.98, for each standard deviation (SD) increase, the risk of AKI was augmented by 1.32-fold (odds ratio [OR]: 1.32, 95% CI: 1.22 to 1.46). Conversely, when SHR was below 0.98, each SD decrease was associated with a pronounced increase in the risk of AKI. CONCLUSION Our study reveals a U-shaped relationship between SHR and AKI in patients with CHF. Notably, we identified an inflection point at an SHR value of 0.98, signifying a critical threshold for evaluating AKI in this population.
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Affiliation(s)
- Le Li
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Ligang Ding
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Lihui Zheng
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Lingmin Wu
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Zhicheng Hu
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Limin Liu
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China
| | - Yan Yao
- Peking Union Medical College, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Beijing, 100037, China.
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Gebremedhin S, Bekele T. Evaluating the performance of a novel anthropometric index: weight adjusted for waist-to-height ratio (W-WHR) - for predicting cardiometabolic risk among adults in Addis Ababa. BMJ Open 2024; 14:e077646. [PMID: 38216188 PMCID: PMC10806638 DOI: 10.1136/bmjopen-2023-077646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/21/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE Various anthropometric indices had been proposed to predict cardiometabolic risk, yet few were validated in the African population. We evaluated the diagnostic accuracy of a novel anthropometric index-weight adjusted for waist-to-height ratio (W-WHR)-as a predictor of cardiometabolic risk among adults 18-64 years in Addis Ababa, Ethiopia; and compared its performance with other indices commonly used in the literature. DESIGN Cross-sectional study. SETTING Community-based study in Addis Ababa, Ethiopia. PARTICIPANTS Randomly selected adults (n=600) completed serum lipid, blood pressure, blood glucose and anthropometric measurements. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcomes of interest were dyslipidaemia, hypertension and hyperglycaemia. Having at least one of the three outcomes was considered as a secondary outcome. Receiver-operating characteristic curve (ROC) used to measure the diagnostic accuracy of W-WHR and another 13 indices for predicting the primary and secondary outcomes. Optimal thresholds were determined using Youden's index. RESULTS W-WHR demonstrated an acceptable diagnostic accuracy (area under the curve (AUC), 95% CI) for correctly classifying dyslipidaemia (0.80, 0.76 to 0.84), hypertension (0.74, 0.70 to 0.78), hyperglycaemia (0.76, 0.70 to 0.82) and the secondary outcome of interest (0.79, 0.75 to 0.83). Depending on the outcomes, thresholds between 32.6 and 36.7 concurrently maximised sensitivity and specificity of the index. ROC analysis indicated, W-WHR (AUC=0.80), abdominal volume index (AVI) (AUC=0.78) and waist circumference (WC) (AUC=0.78) for dyslipidaemia; W-WHR (AUC=0.74) and WC (AUC=0.74) for hypertension; and waist-to-height ratio (AUC=0.80) and body roundness index (AUC=0.80) for hyperglycaemia, had the highest diagnostic accuracy. Likewise, W-WHR (AUC=0.79), AVI (AUC=0.78) and WC (AUC=0.78) had better performance for the secondary outcome. Most indices have better utility among younger than older adults, and per cent body fat had the highest diagnostic accuracy among women (AUC 0.74-0.83). CONCLUSION W-WHR is a useful index for predicting cardiometabolic risk, especially among young adults.
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Affiliation(s)
| | - Tilahu Bekele
- Addis Ababa University College of Natural Sciences, Addis Ababa, Ethiopia
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24
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Duckworth C, Guy MJ, Kumaran A, O’Kane AA, Ayobi A, Chapman A, Marshall P, Boniface M. Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations. J Diabetes Sci Technol 2024; 18:113-123. [PMID: 35695284 PMCID: PMC10899844 DOI: 10.1177/19322968221103561] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The occurrences of acute complications arising from hypoglycemia and hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own care. Continuous glucose monitoring (CGM) devices provide real-time glucose readings enabling users to manage their control proactively. Machine learning algorithms can use CGM data to make ahead-of-time risk predictions and provide insight into an individual's longer term control. METHODS We introduce explainable machine learning to make predictions of hypoglycemia (<70 mg/dL) and hyperglycemia (>270 mg/dL) up to 60 minutes ahead of time. We train our models using CGM data from 153 people living with T1D in the CITY (CGM Intervention in Teens and Young Adults With Type 1 Diabetes)survey totaling more than 28 000 days of usage, which we summarize into (short-term, medium-term, and long-term) glucose control features along with demographic information. We use machine learning explanations (SHAP [SHapley Additive exPlanations]) to identify which features have been most important in predicting risk per user. RESULTS Machine learning models (XGBoost) show excellent performance at predicting hypoglycemia (area under the receiver operating curve [AUROC]: 0.998, average precision: 0.953) and hyperglycemia (AUROC: 0.989, average precision: 0.931) in comparison with a baseline heuristic and logistic regression model. CONCLUSIONS Maximizing model performance for glucose risk prediction and management is crucial to reduce the burden of alarm fatigue on CGM users. Machine learning enables more precise and timely predictions in comparison with baseline models. SHAP helps identify what about a CGM user's glucose control has led to predictions of risk which can be used to reduce their long-term risk of complications.
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Affiliation(s)
- Christopher Duckworth
- Electronics and Computer Science, IT Innovation Centre, University of Southampton, Southampton, UK
| | - Matthew J. Guy
- Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
| | - Anitha Kumaran
- Child Health, Department of Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Aisling Ann O’Kane
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
- UCL Interaction Centre, University College London, London, UK
| | - Amid Ayobi
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
| | - Adriane Chapman
- Electronics and Computer Science, University of Southampton, Southampton, UK
| | - Paul Marshall
- Human-Computer Interaction for Health, University of Bristol, Bristol, UK
- UCL Interaction Centre, University College London, London, UK
| | - Michael Boniface
- Electronics and Computer Science, IT Innovation Centre, University of Southampton, Southampton, UK
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25
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Kourek C, Georgopoulou M, Kolovou K, Rouvali N, Panoutsopoulou M, Kinti C, Soulele T, Doubou D, Karanikas S, Elaiopoulos D, Karabinis A, Dimopoulos S. Intensive Care Unit Hyperglycemia After Cardiac Surgery: Risk Factors and Clinical Outcomes. J Cardiothorac Vasc Anesth 2024; 38:162-169. [PMID: 37880037 DOI: 10.1053/j.jvca.2023.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 09/01/2023] [Accepted: 09/16/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVES Patients with hyperglycemia after cardiac surgery face increased morbidity and mortality due to postoperative complications. The main purpose of this study was to evaluate the incidence of postoperative hyperglycemia, the hyperglycemia risk factors, and its association with clinical outcomes in patients admitted to the cardiac surgery intensive care unit after cardiac surgery. DESIGN Prospective, observational study. SETTING Single-center hospital. PARTICIPANTS Two hundred ten consecutive postoperative cardiac surgery patients admitted to the cardiac surgery intensive care unit. INTERVENTIONS Patients' blood glucose levels were evaluated immediately after cardiac surgery and every 3 hours daily for 7 days or earlier upon discharge. Intravenous insulin was administered as per the institution's protocol. Perioperative predisposing risk factors for hyperglycemia and clinical outcomes were assessed. MEASUREMENTS AND MAIN RESULTS Postoperative hyperglycemia, defined as glucose level ≥180 mg/dL, occurred in 30% of cardiac surgery patients. Diabetes mellitus (odds ratio [OR] 6.73; 95% CI [3.2-14.3]; p < 0.001), white blood cell count (OR 1.28; 95% CI [1.1-1.4]; p < 0.001), and EuroSCORE II (OR 1.20; 95% CI [1.1-1.4]; p = 0.004) emerged as independent prognostic factors for hyperglycemia. Moreover, patients with glucose ≥180 mg/dL had higher rates of acute kidney injury (34.9% v 18.9%, p = 0.013), longer duration of mechanical ventilation (959 v 720 min, p = 0.019), and sedation (711 v 574 min, p = 0.034), and higher levels of intensive care unit (ICU)-acquired weakness (14% v 5.5%, p = 0.027) and rate of multiorgan failure (6.3% v 0.7%, p = 0.02) compared with patients with glucose levels <180 mg/dL. CONCLUSIONS In the intensive care unit, hyperglycemia occurs frequently in patients immediately after cardiac surgery. Diabetes, high EuroSCORE II, and preoperative leukocytosis are independent risk factors for postoperative hyperglycemia. Hyperglycemia is associated with worse clinical outcomes, including a higher rate of acute kidney injury and ICU-acquired weakness, greater duration of mechanical ventilation, and a higher rate of multiorgan failure.
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Affiliation(s)
- Christos Kourek
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Magda Georgopoulou
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Kyriaki Kolovou
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Niki Rouvali
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Maria Panoutsopoulou
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Charalampia Kinti
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Theodora Soulele
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Dimitra Doubou
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Stavros Karanikas
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Dimitris Elaiopoulos
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Andreas Karabinis
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Stavros Dimopoulos
- Cardiac Surgery Intensive Care Unit, Onassis Cardiac Surgery Center, Athens, Greece.
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Orfanoudaki A, Cook CB, Saghafian S, Castro J, Kosiorek HE, Chakkera HA. Diabetes mellitus and blood glucose variability increases the 30-day readmission rate after kidney transplantation. Clin Transplant 2024; 38:e15177. [PMID: 37922214 DOI: 10.1111/ctr.15177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/05/2023]
Abstract
INTRODUCTION Inpatient hyperglycemia is an established independent risk factor among several patient cohorts for hospital readmission. This has not been studied after kidney transplantation. Nearly one-third of patients who have undergone a kidney transplant reportedly experience 30-day readmission. METHODS Data on first-time solitary kidney transplantations were retrieved between September 2015 and December 2018. Information was linked to the electronic health records to determine diagnosis of diabetes mellitus and extract glucometric and insulin therapy data. Univariate logistic regression analysis and the XGBoost algorithm were used to predict 30-day readmission. We report the average performance of the models on the testing set on bootstrapped partitions of the data to ensure statistical significance. RESULTS The cohort included 1036 patients who received kidney transplantation; 224 (22%) experienced 30-day readmission. The machine learning algorithm was able to predict 30-day readmission with an average area under the receiver operator curve (AUC) of 78% with (76.1%, 79.9%) 95% confidence interval (CI). We observed statistically significant differences in the presence of pretransplant diabetes, inpatient-hyperglycemia, inpatient-hypoglycemia, minimum and maximum glucose values among those with higher 30-day readmission rates. The XGBoost model identified the index admission length of stay, presence of hyper- and hypoglycemia, the recipient and donor body mass index (BMI) values, presence of delayed graft function, and African American race as the most predictive risk factors of 30-day readmission. Additionally, significant variations in the therapeutic management of blood glucose by providers were observed. CONCLUSIONS Suboptimal glucose metrics during hospitalization after kidney transplantation are associated with an increased risk for 30-day hospital readmission. Optimizing hospital blood glucose management, a modifiable factor, after kidney transplantation may reduce the risk of 30-day readmission.
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Affiliation(s)
- Agni Orfanoudaki
- University of Oxford, England, Oxford, UK
- Harvard Kennedy School, Harvard University, Cambridge, Massachusetts, USA
| | - Curtiss B Cook
- Division of Endocrinology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Soroush Saghafian
- Harvard Kennedy School, Harvard University, Cambridge, Massachusetts, USA
| | - Janna Castro
- Department of Information Technology, Mayo Clinic Hospital, Phoenix, Arizona, USA
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Wang JY, Wilson M, Andreev A, Tarsia J, Selim M, Lioutas VA. The role of hyperglycemia in the outcome of intracerebral hemorrhage: A causative analysis. J Stroke Cerebrovasc Dis 2023; 32:107439. [PMID: 38488808 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/17/2023] [Accepted: 10/20/2023] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Hyperglycemia in the acute phase of intracerebral hemorrhage (ICH) has been associated with poor functional outcomes, however all interventions to lower glucose have yielded neutral or negative results. We attempt an explanation of the causal role of hyperglycemia in ΙCH outcome using generalized structural equation modeling. MATERIALS AND METHODS Consecutive primary ICH patients admitted to an academic hospital between 2007 and 2018 were identified. Patients with missing baseline or follow up CT scans and without 90 day follow up status were excluded. We constructed a causal model accounting for pre-defined markers of ICH severity to evaluate the association between mean 72 h glucose and 90 day functional outcome measured by modified Rankin Scale, dichotomized as favorable ≤2 or unfavorable >2. RESULTS Primary analyses included 410 patients (70.4 ± 13.8years, 43 % female). Mean 72 h glucose was 137.5 ± 33.4mg/dl and 102 (25 %) patients were diabetic. On univariable analysis, higher glucose levels were negatively correlated with favorable outcome (p < 0.0001). However in the structural equation model, this relationship was significantly attenuated (p = 0.06) after accounting for the causal effect of diabetes (p < 0.0001), hematoma volume (p < 0.0001), intraventricular extension (p = 0.01) and Glasgow coma scale (p = 0.001) on glucose levels. On secondary analyses stratifying by diagnosis of diabetes, higher glucose levels were negatively correlated with favorable outcome in patients without diabetes (p = 0.04), but not in patients with diabetes (p = 0.35). CONCLUSIONS Hyperglycemia may be a downstream effect of other markers of ICH severity, particularly among patients without diabetes, suggesting a possible explanation for the limited evidence of glucose lowering interventions in outcome.
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Affiliation(s)
- Jia-Yi Wang
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA.
| | - Mitchell Wilson
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA
| | - Alexander Andreev
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA
| | - Joseph Tarsia
- Department of Neurology, Ochsner Medical Center, New Orleans, LA, USA
| | - Magdy Selim
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Stroke Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA
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Huang J, Yeung AM, Klonoff DC, Kerr D. Regarding "Detection of Hypoglycemia and Hyperglycemia Using Noninvasive Wearable Sensors: ECG and Accelerometry". J Diabetes Sci Technol 2023; 17:1722-1723. [PMID: 36314593 PMCID: PMC10658681 DOI: 10.1177/19322968221133813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
| | | | - David C. Klonoff
- Diabetes Technology Society, Burlingame, CA, USA
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
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Meek CL, Simmons D. Timing of gestational diabetes diagnosis: A novel precision approach to hyperglycaemia in pregnancy? Diabet Med 2023; 40:e15191. [PMID: 37528516 DOI: 10.1111/dme.15191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 07/29/2023] [Indexed: 08/03/2023]
Affiliation(s)
- Claire L Meek
- Wolfson Diabetes & Endocrine Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Wellcome-Trust MRC Institute of Metabolic Science Metabolic Research Laboratories, University of Cambridge, Cambridge, UK
| | - David Simmons
- Western Sydney University, Penrith, New South Wales, Australia
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Xie E, Ye Z, Wu Y, Zhao X, Li Y, Shen N, Gao Y, Zheng J. Predictive value of the stress hyperglycemia ratio in dialysis patients with acute coronary syndrome: insights from a multi-center observational study. Cardiovasc Diabetol 2023; 22:288. [PMID: 37891639 PMCID: PMC10612265 DOI: 10.1186/s12933-023-02036-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Various studies have indicated that stress hyperglycemia ratio (SHR) can reflect true acute hyperglycemic status and is associated with poor outcomes in patients with acute coronary syndrome (ACS). However, data on dialysis patients with ACS are limited. The Global Registry of Acute Coronary Events (GRACE) risk score is a well-validated risk prediction tool for ACS patients, yet it underestimates the risk of major events in patients receiving dialysis. This study aimed to evaluate the association between SHR and adverse cardiovascular events in dialysis patients with ACS and explore the potential incremental prognostic value of incorporating SHR into the GRACE risk score. METHODS This study enrolled 714 dialysis patients with ACS from January 2015 to June 2021 at 30 tertiary medical centers in China. Patients were stratified into three groups based on the tertiles of SHR. The primary outcome was major adverse cardiovascular events (MACE), and the secondary outcomes were all-cause mortality and cardiovascular mortality. RESULTS After a median follow-up of 20.9 months, 345 (48.3%) MACE and 280 (39.2%) all-cause mortality occurred, comprising 205 cases of cardiovascular death. When the highest SHR tertile was compared to the second SHR tertile, a significantly increased risk of MACE (adjusted hazard ratio, 1.92; 95% CI, 1.48-2.49), all-cause mortality (adjusted hazard ratio, 2.19; 95% CI, 1.64-2.93), and cardiovascular mortality (adjusted hazard ratio, 2.70; 95% CI, 1.90-3.83) was identified in the multivariable Cox regression model. A similar association was observed in both diabetic and nondiabetic patients. Further restricted cubic spline analysis identified a J-shaped association between the SHR and primary and secondary outcomes, with hazard ratios for MACE and mortality significantly increasing when SHR was > 1.08. Furthermore, adding SHR to the GRACE score led to a significant improvement in its predictive accuracy for MACE and mortality, as measured by the C-statistic, net reclassification improvement, and integrated discrimination improvement, especially for those with diabetes. CONCLUSIONS In dialysis patients with ACS, SHR was independently associated with increased risks of MACE and mortality. Furthermore, SHR may aid in improving the predictive efficiency of the GRACE score, especially for those with diabetes. These results indicated that SHR might be a valuable tool for risk stratification and management of dialysis patients with ACS.
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Affiliation(s)
- Enmin Xie
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Zixiang Ye
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yaxin Wu
- Department of Cardiology, Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Xuecheng Zhao
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China
| | - Yike Li
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China
| | - Nan Shen
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China
| | - Yanxiang Gao
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
| | - Jingang Zheng
- Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Beijing, 100029, China.
- China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
- Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
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Atef Abdelsattar Ibrahim H, Kaddah S, Elkhateeb SM, Aboalazayem A, Amin AA, Marei MM. Glucose indices as inflammatory markers in children with acute surgical abdomen: a cross-sectional study. Ann Med 2023; 55:2248454. [PMID: 37862106 PMCID: PMC10763853 DOI: 10.1080/07853890.2023.2248454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 08/11/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Glycaemic dysregulation potentiates the pro-inflammatory response and increases oxidative injury; therefore, preoperative hyperglycaemia is linked to increased mortalities. In addition, inflammation is accompanied by higher glycated haemoglobin (HbA1c) levels, and the relationship between this and random blood sugar (RBS) could be non-linear. METHODS This is a cross-sectional study. Non-diabetic paediatric patients with acute surgical abdomen, presenting to the emergency surgical services were enrolled, over a period of 6 months. They were all screened for their random blood sugar and HbA1c levels. RESULTS Fifty-three cases were studied. The prevalence of glycaemic dysregulation in the enrolled children was high. Abnormal HbA1c was observed in 66% of the study group. Stress hyperglycaemia was observed in 60% of the enrolled children. There was a significant correlation (r = 0.770, p-value: < 0.001) between RBS and the total leucocytic count (TLC). The TLC cutoff value for predicting stress hyperglycaemia was 13,595 cells/mm3. The cutoff value of RBS for predicting leukocytosis was 111.5 mg/dl. Median RBS level was significantly higher in complicated appendicitis (169.5 mg/dl), compared to uncomplicated appendicitis (118.0 mg/dl). CONCLUSION HbA1c and RBS could be used as inflammatory markers for surgical acute abdomen and its degree of severity, respectively. HbA1c rises in a considerable number of cases with surgical acute abdomen, irrespective of the disease stage. However, as the disease progresses, the random blood sugar rises due to stress hyperglycaemia, thus becoming a surrogate inflammatory marker.
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Affiliation(s)
| | - Sherif Kaddah
- Paediatric Surgery Section/Unit, Cairo University Hospitals (Cairo University Specialized Paediatric Hospital [CUSPH] & Cairo University Children’s Hospital [Abu El-Reesh El-Mounira]), Department of Surgery, Faculty of Medicine, Cairo University, Cairo, Egypt
| | | | - Abeer Aboalazayem
- Paediatric Surgery Section/Unit, Cairo University Hospitals (Cairo University Specialized Paediatric Hospital [CUSPH] & Cairo University Children’s Hospital [Abu El-Reesh El-Mounira]), Department of Surgery, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Aya Ahmed Amin
- Cancer Epidemiology and Biostatistics, National Cancer Institute, Cairo University, Cairo, Egypt
| | - Mahmoud Marei Marei
- Paediatric Surgery Section/Unit, Cairo University Hospitals (Cairo University Specialized Paediatric Hospital [CUSPH] & Cairo University Children’s Hospital [Abu El-Reesh El-Mounira]), Department of Surgery, Faculty of Medicine, Cairo University, Cairo, Egypt
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Li L, Zhao M, Zhang Z, Zhou L, Zhang Z, Xiong Y, Hu Z, Yao Y. Prognostic significance of the stress hyperglycemia ratio in critically ill patients. Cardiovasc Diabetol 2023; 22:275. [PMID: 37833697 PMCID: PMC10576399 DOI: 10.1186/s12933-023-02005-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/23/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR) has demonstrated a noteworthy association with unfavorable cardiovascular clinical outcomes and heightened in-hospital mortality. Nonetheless, this relationship in critically ill patients remains uncertain. This study aims to elucidate the correlation between SHR and patient prognosis within the critical care setting. METHODS A total of 8978 patients admitted in intensive care unit (ICU) were included in this study. We categorized SHR into uniform groups and assessed its relationship with mortality using logistic or Cox regression analysis. Additionally, we employed the restricted cubic spline (RCS) analysis method to further evaluate the correlation between SHR as a continuous variable and mortality. The outcomes of interest in this study were in-hospital and 1-year all-cause mortality. RESULTS In this investigation, a total of 825 (9.2%) patients experienced in-hospital mortality, while 3,130 (34.9%) individuals died within the 1-year follow-up period. After adjusting for confounding variables, we identified a U-shaped correlation between SHR and both in-hospital and 1-year mortality. Specifically, within the SHR range of 0.75-0.99, the incidence of adverse events was minimized. For each 0.25 increase in the SHR level within this range, the risk of in-hospital mortality rose by 1.34-fold (odds ratio [OR]: 1.34, 95% CI: 1.25-1.44), while a 0.25 decrease in SHR within 0.75-0.99 range increased risk by 1.38-fold (OR: 1.38, 95% CI: 1.10-1.75). CONCLUSION There was a U-shaped association between SHR and short- and long-term mortality in critical ill patients, and the inflection point of SHR for poor prognosis was identified at an SHR value of 0.96.
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Affiliation(s)
- Le Li
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Minghao Zhao
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhuxin Zhang
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Likun Zhou
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhenhao Zhang
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Yulong Xiong
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Zhao Hu
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China
| | - Yan Yao
- Chinese Academy of Medical Sciences, Peking Union Medical College, National Center for Cardiovascular Diseases, Fu Wai Hospital, Beijing, 100037, China.
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Roy L, Mondal S, Bhattacharyya N, Ghosh R, Banerjee A, Singh S, Chattopadhyay A, Ahmed SA, Jassas RS, Al-Rooqi MM, Moussa Z, Althagafi II, Bhattacharya D, Bhattacharya K, Mallick AK, Pal SK. A spectroscopy based prototype for the noninvasive detection of diabetes from human saliva using nanohybrids acting as nanozyme. Sci Rep 2023; 13:17306. [PMID: 37828100 PMCID: PMC10570348 DOI: 10.1038/s41598-023-44011-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023] Open
Abstract
The recent prediction of diabetes to be a global pandemic invites a detection strategy preferably non-invasive, and bloodless to manage the disease and the associated complications. Here, we have synthesized chitosan polymer functionalized, organic-inorganic bio-compatible nano-hybrids of Mn3O4 nanoparticles, and characterized it by utilizing several optical methodologies for the structural characterization which shows the Michaelis Menten (MM) kinetics for glucose and alpha-amylase protein (well-known diabetes biomarkers). We have also studied the potentiality for the detection of alpha-amylase in human salivary secretion which is reported to be strongly correlated with uncontrolled hyperglycemia. Finally, we have developed a prototype for the measurement of glucose (LOD of 0.38 mg/dL, LOQ of 1.15 mg/dL) and HbA1c (LOD of 0.15% and LOQ of 0.45%) utilizing the basic knowledge in the study for the detection of uncontrolled hyperglycemia at the point-of-care. With the limited number of clinical trials, we have explored the potential of our work in combating the diabetic pandemic across the globe in near future.
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Affiliation(s)
- Lopamudra Roy
- Department of Applied Optics and Photonics, University of Calcutta, JD-2, Sector-III, Salt Lake, Kolkata, West Bengal, 700 106, India
| | - Susmita Mondal
- Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India
| | - Neha Bhattacharyya
- Department of Radio Physics and Electronics, University of Calcutta, Kolkata, 700009, India
| | - Ria Ghosh
- Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India
| | - Amrita Banerjee
- Department of Physics, Jadavpur University, 188, Raja Subodh Chandra Mallick Rd, Poddar Nagar, Jadavpur, Kolkata, West Bengal, 700032, India
| | - Soumendra Singh
- Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India
- Neo Care Inc, 27, Parker St, Dartmouth, NS, B2Y 2W1, Canada
- Electrical and Computer Engineering Department, Dalhousie University, 6299 South St, Halifax, NS, B3H 4R2, Canada
| | - Arpita Chattopadhyay
- Department of Basic Science and Humanities, Techno International New Town Block, DG 1/1, Action Area 1 New Town, Rajarhat, Kolkata, 700156, India
- Department of Physics, Sister Nivedita University, DG 1/2 New Town, Action Area 1, Kolkata, 700156, India
| | - Saleh A Ahmed
- Chemistry Department, Faculty of Applied Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia.
- Chemistry Department, Faculty of Science, Assiut University, Assiut, 71516, Egypt.
| | - Rabab S Jassas
- Department of Chemistry, Jamoum University College, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Munirah M Al-Rooqi
- Chemistry Department, Faculty of Applied Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Ziad Moussa
- Department of Chemistry, College of Science, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates
| | - Ismail I Althagafi
- Chemistry Department, Faculty of Applied Science, Umm Al-Qura University, 21955, Makkah, Saudi Arabia
| | - Debasish Bhattacharya
- Department of Gynecology & Obstetrics, Nil Ratan Sircar Medical College & Hospital, 138, AJC Bose Road, Sealdah, Raja Bazar, Kolkata, 700014, India
| | - Kallol Bhattacharya
- Department of Applied Optics and Photonics, University of Calcutta, JD-2, Sector-III, Salt Lake, Kolkata, West Bengal, 700 106, India
| | - Asim Kumar Mallick
- Department of Pediatrics, Nil Ratan Sircar Medical College and Hospital, Kolkata, 700014, India
| | - Samir Kumar Pal
- Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata, 700106, India.
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Kistkins S, Mihailovs T, Lobanovs S, Pīrāgs V, Sourij H, Moser O, Bļizņuks D. Comparative Analysis of Predictive Interstitial Glucose Level Classification Models. Sensors (Basel) 2023; 23:8269. [PMID: 37837098 PMCID: PMC10574913 DOI: 10.3390/s23198269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/02/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND New methods of continuous glucose monitoring (CGM) provide real-time alerts for hypoglycemia, hyperglycemia, and rapid fluctuations of glucose levels, thereby improving glycemic control, which is especially crucial during meals and physical activity. However, complex CGM systems pose challenges for individuals with diabetes and healthcare professionals, particularly when interpreting rapid glucose level changes, dealing with sensor delays (approximately a 10 min difference between interstitial and plasma glucose readings), and addressing potential malfunctions. The development of advanced predictive glucose level classification models becomes imperative for optimizing insulin dosing and managing daily activities. METHODS The aim of this study was to investigate the efficacy of three different predictive models for the glucose level classification: (1) an autoregressive integrated moving average model (ARIMA), (2) logistic regression, and (3) long short-term memory networks (LSTM). The performance of these models was evaluated in predicting hypoglycemia (<70 mg/dL), euglycemia (70-180 mg/dL), and hyperglycemia (>180 mg/dL) classes 15 min and 1 h ahead. More specifically, the confusion matrices were obtained and metrics such as precision, recall, and accuracy were computed for each model at each predictive horizon. RESULTS As expected, ARIMA underperformed the other models in predicting hyper- and hypoglycemia classes for both the 15 min and 1 h horizons. For the 15 min forecast horizon, the performance of logistic regression was the highest of all the models for all glycemia classes, with recall rates of 96% for hyper, 91% for norm, and 98% for hypoglycemia. For the 1 h forecast horizon, the LSTM model turned out to be the best for hyper- and hypoglycemia classes, achieving recall values of 85% and 87% respectively. CONCLUSIONS Our findings suggest that different models may have varying strengths and weaknesses in predicting glucose level classes, and the choice of model should be carefully considered based on the specific requirements and context of the clinical application. The logistic regression model proved to be more accurate for the next 15 min, particularly in predicting hypoglycemia. However, the LSTM model outperformed logistic regression in predicting glucose level class for the next hour. Future research could explore hybrid models or ensemble approaches that combine the strengths of multiple models to further enhance the accuracy and reliability of glucose predictions.
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Affiliation(s)
- Svjatoslavs Kistkins
- Research Institute of Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia; (S.K.); (V.P.)
| | - Timurs Mihailovs
- Institute of Smart Computing Technologies, Riga Technical University, LV-1048 Riga, Latvia; (T.M.); (D.B.)
| | - Sergejs Lobanovs
- Research Institute of Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia; (S.K.); (V.P.)
| | - Valdis Pīrāgs
- Research Institute of Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia; (S.K.); (V.P.)
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria;
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, Institute of Sport Science, University of Bayreuth, 95447 Bayreuth, Germany;
| | - Dmitrijs Bļizņuks
- Institute of Smart Computing Technologies, Riga Technical University, LV-1048 Riga, Latvia; (T.M.); (D.B.)
- SIA “R4U”, LV-1016 Riga, Latvia
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Golding J, Hope SV, Chakera AJ, Puttanna A. The evolving continuum of dysglycaemia: Non-diabetic hyperglycaemia in older adults. Diabet Med 2023; 40:e15177. [PMID: 37452769 DOI: 10.1111/dme.15177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Identifying non-diabetic hyperglycaemia (NDH) and intervening to halt the progression to type 2 diabetes has become an essential component of cardiovascular and cerebrovascular risk reduction. Diabetes prevention programs have been instigated to address the increasing prevalence of NDH and type 2 diabetes by targeting lifestyle modifications. Evidence suggests that the risk of progression from NDH to type 2 diabetes declines with age, and that a diagnosis of type 2 diabetes in older adults is not associated with the same risk of adverse consequences as it is in younger age groups. The current definition of NDH is not adjusted based on a person's age. Therefore, there is debate about the emphasis that should be placed upon a diagnosis of NDH in older adults. This article will explore the evidence and current clinical practice surrounding dysglycaemia through the spectrum of different age ranges, and the potential implications this has for older adults.
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Affiliation(s)
- J Golding
- Department of Diabetes and Endocrinology, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Department of Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - S V Hope
- College of Medicine and Health, University of Exeter, Exeter, UK
- Department of Healthcare for Older People, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - A J Chakera
- Department of Diabetes and Endocrinology, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Department of Medicine, Brighton and Sussex Medical School, Brighton, UK
| | - A Puttanna
- Department of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
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Byashalira KC, Chamba NG, Alkabab Y, Ntinginya NE, Affenaar JW, Heysell SK, Ramaiya KL, Lillebaek T, Bygbjerg IC, Christensen DL, Mpagama SG, Mmbaga BT. Point-of-care glycated hemoglobin a1c testing for the identification of hyperglycemia severity among individuals with dual tuberculosis and diabetes mellitus in Tanzania. Int J Mycobacteriol 2023; 12:429-435. [PMID: 38149539 DOI: 10.4103/ijmy.ijmy_119_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Abstract
Background Poor glycemic control during tuberculosis (TB) treatment is challenging, as the optimum treatment strategy remains unclear. We assessed hyperglycemia severity using glycated hemoglobin (HbA1c) test and predictors of severe hyperglycemia at the time of TB diagnosis in three resources-diverse regions in Tanzania. Methods This was a substudy from a large cohort study implemented in three regions of Tanzania. TB individuals with diabetes mellitus (DM) (prior history of DM or newly diagnosed DM) were assessed for hyperglycemic levels using HbA1c test and stratified as mild (<53 mmol/mol), moderate (≥53-<86 mmol/mol), and severe (≥86 mmo/mol). Results From October 2019 to September 2020, 1344 confirmed TB individuals were screened for DM and 105 (7.8%) individuals had dual TB/DM and were assessed for glycemic levels. Of these, 69 (67.7%) had a prior history of DM and 26 (24.8%) were living with human immunodeficiency virus. Their mean age was 49.0 (±15.0) years and 56.2% were male. The majority (77.1%) had pulmonary TB, and 96.2% were newly diagnosed TB individuals. HbA1c test identified 41(39.0%), 37 (35.2%), and 27 (25.7%) individuals with severe, moderate, and mild the hyperglycaemia respectively. Female sex (odds ratio [OR]: 3.55, 95% confidence interval [CI]: 1.06-11.92, P = 0.040) and previous history of DM (OR: 3.71, 95% CI: 1.33-10.33, P = 0.013) were independent risk factors for severe hyperglycemic at the time of TB diagnosis. Conclusion By integrating early HbA1c testing, a substantial proportion of individuals with severe hyperglycemia were identified. HbA1c testing can be recommended to identify and triage patients requiring personalized intensified DM management in resource-limited programmatic settings.
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Affiliation(s)
- Kenneth C Byashalira
- Kilimanjaro Christian Medical University College, Moshi; Kibong'oto Infectious Disease Hospital, Sanya Juu, Siha, Tanzania
| | - Nyasatu G Chamba
- Kilimanjaro Christian Medical University College; Department of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
| | - Yosra Alkabab
- Division of Infectious Diseases, Medical University of South Carolina, USA
| | - Nyanda E Ntinginya
- National Institute of Medical Research, Mbeya Medical Research Centre, Mbeya, Tanzania
| | - Jan-Willem Affenaar
- Sydney Institute for Infectious Diseases; School of Pharmacy, Faculty of Medicine and Health, The University of Sydney; Westmead Hospital, Sydney, NSW, Australia
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, USA
| | | | - Troels Lillebaek
- Global Health Section, Department of Public Health, University of Copenhagen; International Reference Laboratory of Mycobacteriology Statens Serum Institut, Copenhagen, Denmark
| | - Ib C Bygbjerg
- Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Dirk L Christensen
- Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Stellah G Mpagama
- Kilimanjaro Christian Medical University College, Moshi; Kibong'oto Infectious Disease Hospital, Sanya Juu, Siha, Tanzania
| | - Blandina T Mmbaga
- Kilimanjaro Christian Medical University College; Kilimanjaro Clinical Research Institute, Moshi; Department of Paediatric and Child Health, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
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Han Q, Guo J, Gong L, Liu C, Zhang F. Analysis of the detection rate and related factors of fatty liver disease in physical examination of healthy population in Chengdu district. Medicine (Baltimore) 2023; 102:e35087. [PMID: 37682138 PMCID: PMC10489527 DOI: 10.1097/md.0000000000035087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 08/15/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND In the present study, we analyzed the detection rate and related influencing factors of fatty liver in the health examination population in Chengdu area. METHODS The case-control study was performed to compare the gender, age (years), body mass index (BMI), smoking, drinking, abnormal lipid metabolism, hypertension, hyperglycemia, hyperuricemia Is there any statistically significant difference in the detection rate of diseases such as metabolic syndrome, and logistic regression analysis is conducted to analyze the comprehensive impact of each influencing factor on the prevention of fatty liver disease. RESULTS Among 14,426 survey subjects, a total of 6717 patients with fatty liver were detected, with a detection rate of 47.22%. There are significant differences in the incidence of fatty liver disease among different gender groups, with the incidence rate in males being significantly higher than that in females (P < .05); The incidence of fatty liver in elderly subjects was significantly higher than that in middle-aged and young subjects (P < .05); The prevalence rate of individuals with a BMI > 24 was significantly higher than that of individuals with a BMI < 24 (P < .05). The prevalence of fatty liver in the population with abnormal lipid metabolism, hypertension, hyperglycemia, hyperuricemia, metabolic syndrome and other diseases was significantly higher (P < .05); After stratified analysis by gender and age, the incidence of fatty liver in males was significantly higher than that in females in the 3 age groups < 60 years old (P < .05); In the age group ≥ 60 years old, the difference in the incidence of fatty liver disease between males and females was significantly reduced, and the difference was not statistically significant (P > .05). CONCLUSION The health screening of patients with fatty liver should be carried out regularly, and attention should be paid to the intervention and prevention of overweight people and people with basal metabolism diseases such as hyperglycemia and hypertension, so as to reduce the incidence of fatty liver.
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Affiliation(s)
- Qian Han
- Department of Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiaojiao Guo
- Department of Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling Gong
- Department of Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Changqing Liu
- Department of Operating Room of West China Hospital, West China School of Nursing, Sichuan University, Nursing Key Laboratory of Sichuan, Chengdu, Sichuan, China
| | - Fan Zhang
- Department of Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Rooney MR, Daya NR, Leong A, McPhaul MJ, Shiffman D, Meigs JB, Selvin E. Prognostic value of insulin resistance and hyperglycemia biomarkers for long-term risks of cardiometabolic outcomes. J Diabetes Complications 2023; 37:108583. [PMID: 37579708 PMCID: PMC10529933 DOI: 10.1016/j.jdiacomp.2023.108583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 07/23/2023] [Accepted: 07/31/2023] [Indexed: 08/16/2023]
Abstract
We found that individuals in the top tertile of HOMA-IR and with HbA1c-defined prediabetes have elevated risk of cardiometabolic outcomes.
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Affiliation(s)
- Mary R Rooney
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
| | - Natalie R Daya
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Aaron Leong
- Division of General Internal Medicine, Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Michael J McPhaul
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - Dov Shiffman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, CA, United States
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Elizabeth Selvin
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
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Klonoff DC, Wang J, Rodbard D, Kohn MA, Li C, Liepmann D, Kerr D, Ahn D, Peters AL, Umpierrez GE, Seley JJ, Xu NY, Nguyen KT, Simonson G, Agus MSD, Al-Sofiani ME, Armaiz-Pena G, Bailey TS, Basu A, Battelino T, Bekele SY, Benhamou PY, Bequette BW, Blevins T, Breton MD, Castle JR, Chase JG, Chen KY, Choudhary P, Clements MA, Close KL, Cook CB, Danne T, Doyle FJ, Drincic A, Dungan KM, Edelman SV, Ejskjaer N, Espinoza JC, Fleming GA, Forlenza GP, Freckmann G, Galindo RJ, Gomez AM, Gutow HA, Heinemann L, Hirsch IB, Hoang TD, Hovorka R, Jendle JH, Ji L, Joshi SR, Joubert M, Koliwad SK, Lal RA, Lansang MC, Lee WA(A, Leelarathna L, Leiter LA, Lind M, Litchman ML, Mader JK, Mahoney KM, Mankovsky B, Masharani U, Mathioudakis NN, Mayorov A, Messler J, Miller JD, Mohan V, Nichols JH, Nørgaard K, O’Neal DN, Pasquel FJ, Philis-Tsimikas A, Pieber T, Phillip M, Polonsky WH, Pop-Busui R, Rayman G, Rhee EJ, Russell SJ, Shah VN, Sherr JL, Sode K, Spanakis EK, Wake DJ, Waki K, Wallia A, Weinberg ME, Wolpert H, Wright EE, Zilbermint M, Kovatchev B. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings. J Diabetes Sci Technol 2023; 17:1226-1242. [PMID: 35348391 PMCID: PMC10563532 DOI: 10.1177/19322968221085273] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. METHODS We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. RESULTS The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. CONCLUSION The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
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Affiliation(s)
- David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Jing Wang
- Florida State University College of Nursing, Tallahassee, FL, USA
| | - David Rodbard
- Biomedical Informatics Consultants LLC, Potomac, MD, USA
| | - Michael A. Kohn
- University of California, San Francisco, San Francisco, CA, USA
| | - Chengdong Li
- Florida State University College of Nursing, Tallahassee, FL, USA
| | | | - David Kerr
- Sansum Diabetes Research Institute, Santa Barbara, CA, USA
| | - David Ahn
- Hoag Memorial Hospital Presbyterian, Newport Beach, CA, USA
| | | | | | | | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | | | | | | | | | - Ananda Basu
- University of Virginia, Charlottesville, VA, USA
| | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | | | | | | | | | | | | | - Kong Y. Chen
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | | | | | | | | | - Thomas Danne
- Diabetes Center Auf der Bult, Hannover Medical School, Hannover, Germany
| | | | | | | | | | - Niels Ejskjaer
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Juan C. Espinoza
- Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | | | | | | | | | | | | | | | | | - Thanh D. Hoang
- Walter Reed National Military Medical Center, Bethesda, MD, USA
| | | | | | - Linong Ji
- Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | | | | | | | | | - M. Cecilia Lansang
- Cleveland Clinic, Cleveland, OH, USA
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Wei-An (Andy) Lee
- LAC + USC Medical Center, Los Angeles County Department of Health Service, Los Angeles, CA, USA
| | - Lalantha Leelarathna
- Manchester University NHS Foundation Trust and The University of Manchester, Manchester, UK
| | - Lawrence A. Leiter
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital and University of Toronto, Toronto, ON, Canada
| | - Marcus Lind
- University of Gothenburg, Gothenburg, Sweden
| | | | | | | | | | - Umesh Masharani
- University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Viswanathan Mohan
- Dr. Mohan’s Diabetes Specialities Centre, Chennai, India
- Madras Diabetes Research Foundation, Chennai, India
| | | | | | | | | | | | | | - Moshe Phillip
- Institute for Endocrinology and Diabetes, Schneider Children’s Medical Center of Israel and Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | | | | | - Gerry Rayman
- Ipswich Hospital, East Suffolk and North Essex Foundation Trust and University of East Anglia, Ipswich, UK
| | - Eun-Jung Rhee
- Kangbuk Samsung Hospital, Sungkyunkwan University, Seoul, Korea
| | - Steven J. Russell
- Massachusetts General Hospital Diabetes Research Center, Boston, MA, USA
| | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | | | - Koji Sode
- The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- North Carolina State University, Raleigh, NC, USA
| | | | | | - Kayo Waki
- The University of Tokyo, Tokyo, Japan
| | | | | | | | | | - Mihail Zilbermint
- Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Community Physicians, Bethesda, MD, USA
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Merjaneh L, Sidhaye AR, Vu PT, Heltshe SL, Goss CH, Flume PA, Kelly A, Rosenfeld M. Role of hyperglycemia in cystic fibrosis pulmonary exacerbations. J Cyst Fibros 2023; 22:868-874. [PMID: 37394317 PMCID: PMC10756929 DOI: 10.1016/j.jcf.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 06/09/2023] [Accepted: 06/25/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND Hyperglycemia could affect treatment response during cystic fibrosis (CF) exacerbations. We aimed to evaluate the prevalence and associations of hyperglycemia with exacerbation outcomes. We also evaluated feasibility of continuous glucose monitoring (CGM) during exacerbations. METHODS The STOP2 study assessed efficacy and safety of different durations of intravenous antibiotics for CF exacerbations. We conducted a secondary data analysis of random glucose levels measured as part of clinical care during exacerbations. A small subset of participants also underwent CGM per research protocol. The associations between hyperglycemia, defined as random glucose ≥140 mg/dL, and changes in weight and lung function with exacerbation treatment were evaluated with linear regression after adjustment for confounding variables. RESULTS Glucose levels were available for 182 STOP2 participants of mean (SD) age 31.6 (10.8) years, baseline percent predicted (pp) FEV1 53.6 (22.5); 37% had CF related diabetes and 27% were on insulin. Hyperglycemia was detected in 44% of participants. Adjusted mean difference (95% CI) was 1.34% (-1.39, 4.08) (p = 0.336) for change in ppFEV1 and 0.33 kg (-0.11, 0.78) (p = 0.145) for change in weight between hyperglycemic and non-hyperglycemic groups. Ten participants not on antidiabetic agents in the 4 weeks prior to enrollment underwent CGM; mean (SD) time spent >140 mg/dL was 24.6% (12.5) with 9/10 participants spending >4.5% time >140 mg/dL. CONCLUSIONS Hyperglycemia identified with random glucose is prevalent during CF exacerbations but not associated with changes in lung function or weight with exacerbation treatment. CGM is feasible and may provide a useful tool for hyperglycemia monitoring during exacerbations.
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Affiliation(s)
- Lina Merjaneh
- Division of Endocrinology and Diabetes, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98145, USA; Department of Pediatrics, University of Washington, Seattle, WA, USA.
| | - Aniket R Sidhaye
- Division of Endocrinology, Diabetes and Metabolism, The Johns Hopkins University School of Medicine, 1830 E. Monument Street, Suite 333, Baltimore, MD 21287, USA
| | - Phuong T Vu
- Cystic Fibrosis Foundation Therapeutics Development Network Coordinating Center, Seattle Children's Research Institute, Seattle WA
| | - Sonya L Heltshe
- Department of Pediatrics, University of Washington, Seattle, WA, USA; Cystic Fibrosis Foundation Therapeutics Development Network Coordinating Center, Seattle Children's Research Institute, Seattle WA
| | - Christopher H Goss
- Cystic Fibrosis Foundation Therapeutics Development Network Coordinating Center, Seattle Children's Research Institute, Seattle WA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Patrick A Flume
- Departments of Medicine and Pediatrics, Medical University of South Carolina, Charleston, South Carolina
| | - Andrea Kelly
- Department of Pediatrics, Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Margaret Rosenfeld
- Department of Pediatrics, University of Washington, Seattle, WA, USA; Division of Pulmonary and Sleep Medicine, Seattle Children's Hospital, 4800 Sand Point Way NE, Seattle, WA 98145, USA
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Banks CA, Novak Z, Beck AW, Pearce BJ, Patterson MA, Passman MA, Sutzko DC, Tariq M, Morgan M, Spangler EL. Investigating glycemic control in patients undergoing lower extremity bypass within an enhanced recovery pathway at a single institution. J Vasc Surg 2023; 78:754-763. [PMID: 37116596 DOI: 10.1016/j.jvs.2023.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Enhanced recovery pathways (ERPs) aim to lower perioperative stress to facilitate recovery. Limited fasting combined with carbohydrate loading is a common ERP element. The effect of limited fasting has not been elucidated in patients with diabetes. Given the known deleterious effects of poor glycemic control in the perioperative period, such as increased rates of surgical site infection, the associations of preoperative limited fasting with perioperative glycemic control and early outcomes after lower extremity bypass (LEB) were investigated. METHODS A single institutional retrospective review of patients who underwent infrainguinal LEB from 2016 to 2022 was performed. The ERP was initiated in May 2018. Patients were stratified by diabetes diagnosis and preoperative hemoglobin A1C (HbA1C) levels. Perioperative glycemic control was compared between the limited fasting and traditional fasting patients (nil per os at midnight). Limited fasting was defined as a clear liquid diet until 2 hours before surgery with recommended carbohydrate loading consisting of 400 cc of a clear sports drink (approximately 30 g of carbohydrates). All limited fasting patients were within the ERP. Early perioperative hyperglycemia (EPH) was defined as blood glucose of >180 mg/dL within the first 24 hours of surgery. Perioperative outcomes such as surgical site infection, readmission, reinterventions, and complications were also compared. RESULTS A total of 393 patients were included (limited fasting patients N = 135; traditional fasting patients N = 258). A trend toward EPH was seen in all limited fasting groups. Evaluating limited fasting within diabetic patients revealed that 74.5% of limited fasting-diabetic patients had EPH compared with 49.6% of traditional fasting-diabetic patients (P = .001). When stratified by the HbA1C level, a significantly higher rate of EPH was seen in the HbA1c >8.0% groups, with 90.5% in the limited fasting patients compared with 67.9% in traditional fasting patients (P = .05). Limited fasting-diabetic patients experience a longer postoperative length of stay at 5.0 days (interquartile range: 3, 9) vs 4.0 days (2, 6) in nondiabetic patients (P = .016). CONCLUSIONS ERP limited fasting was associated with early perioperative hyperglycemia after LEB, particularly in patients with HbA1C >8.0%. Due to the high prevalence of diabetic patients undergoing LEB under ERP, the role of limited fasting and common glycemic elements of ERP may need to be re-evaluated in this subpopulation.
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Affiliation(s)
- Charles A Banks
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Zdenek Novak
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Adam W Beck
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Benjamin J Pearce
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Mark A Patterson
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Marc A Passman
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Danielle C Sutzko
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | - Marvi Tariq
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL
| | | | - Emily L Spangler
- Division of Vascular Surgery and Endovascular Therapy, University of Alabama at Birmingham, Birmingham, AL.
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Kinio AE, Gold M, Doonan RJ, Steinmetz O, Mackenzie K, Obrand D, Girsowicz E, Bayne J, Gill HL. Perioperative Glycemic Surveillance and Control-Current Practices, Efficacy and Impact on Postoperative Outcomes following Infrainguinal Vascular Intervention. Ann Vasc Surg 2023; 95:108-115. [PMID: 37003358 DOI: 10.1016/j.avsg.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/20/2023] [Accepted: 03/23/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Perioperative glycemic control plays a pivotal role in improving postsurgical outcomes. Hyperglycemia occurs frequently in surgical patients and has been associated with higher rates of mortality and postoperative complications. However, no current guidelines exist regarding intraoperative glycemic monitoring of patients undergoing peripheral vascular procedures and postoperative surveillance is often restricted to diabetic patients. We sought to characterize the current practices around glycemic monitoring and efficacy of perioperative glycemic control at our institution. We also examined the impact of hyperglycemia in our surgical population. METHODS This was a retrospective cohort study performed at the McGill University Health Centre and Jewish General Hospital in Montreal, Canada. Patients undergoing elective open lower extremity revascularization or major amputation between 2019 and 2022 were included. Data collected from the electronic medical record included standard demographics, clinical, and surgical characteristics. Glycemic measurements and perioperative insulin use were recorded. Outcomes included 30-day mortality and postoperative complications. RESULTS A total of 303 patients were included in the study. Overall, 38.9% of patients experienced perioperative hyperglycemia defined as glucose ≥180 mg/dL (10 mmol/L) during their hospital admission. Only 12 (3.9%) patients within the cohort underwent any intraoperative glycemic surveillance, while 141 patients (46.5%) had an insulin sliding scale prescribed postoperatively. Despite these efforts, 51 (16.8%) patients remained hyperglycemic for at least 40% of their measurements during their hospitalization. Hyperglycemia in our cohort was significantly associated with an increased risk of 30-day acute kidney injury (11.9% vs. 5.4%, P = 0.042), major adverse cardiac events (16.1% vs. 8.6%, P = 0.048), major adverse limb events (13.6% vs. 6.5%, P = 0.038), any infection (30.5% vs. 20.5%, P = 0.049), intensive care unit admission (11% vs. 3.2%, P = 0.006) and reintervention (22.9% vs. 12.4%, P = 0.017) on univariate analysis. Furthermore, multivariable logistic regression including the covariates of age, sex, hypertension, smoking status, diabetic status, presence of chronic kidney disease, dialysis, Rutherford stage, coronary artery disease and perioperative hyperglycemia demonstrated a significant relationship between perioperative hyperglycemia and 30-day mortality (odds ratio [OR]: 25.00, 95% confidence interval [CI]: 2.469-250.00, P = 0.006), major adverse cardiac events (OR: 2.08, 95% CI: 1.008-4.292, P = 0.048), major adverse limb events (OR: 2.24, 95% CI: 1.020-4.950, P = 0.045), acute kidney injury (OR: 7.58, 95% CI: 3.021-19.231, P < 0.001), reintervention (OR: 2.06, 95% CI: 1.117-3.802, P = 0.021), and intensive care unit admission (OR: 3.38, 95% CI: 1.225-9.345, P = 0.019). CONCLUSIONS Perioperative hyperglycemia was associated with 30-day mortality and complications in our study. Despite this, intraoperative glycemic surveillance occurred rarely in our cohort and current postoperative glycemic control protocols and management failed to achieve optimal control in a significant percentage of patients. Standardized glycemic monitoring and stricter control in the intraoperative and postoperative period therefore represent an area of opportunity for reducing patient mortality and complications following lower extremity vascular surgery.
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Affiliation(s)
- Anna E Kinio
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada.
| | - Morgan Gold
- McGill Faculty of Medicine and Health Sciences, Montréal, Québec, Canada
| | | | - Oren Steinmetz
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
| | - Kent Mackenzie
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
| | - Daniel Obrand
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
| | - Elie Girsowicz
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
| | - Jason Bayne
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
| | - Heather L Gill
- Division of Vascular Surgery, McGill University, Montréal, Québec, Canada
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Tang W, Yao W, Wang W, Lv Q, Ding W. Association between admission hyperglycemia and postoperative pneumonia in geriatric patients with hip fractures. BMC Musculoskelet Disord 2023; 24:700. [PMID: 37658378 PMCID: PMC10472715 DOI: 10.1186/s12891-023-06829-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/23/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Admission hyperglycemia is a common phenomenon in the early stages of injury. This study aimed to determine the relationship between admission hyperglycemia and postoperative pneumonia in geriatric patients with hip fractures. METHODS A total of 600 geriatric patients admitted to Dandong Central Hospital with hip fractures were included. Patients were divided into four groups based on quartiles of admission blood glucose levels: Q1- Q4. Multivariable logistic regression and propensity score-matched analyses were conducted to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for postoperative pneumonia. Receiver operating characteristic (ROC) curves were used to determine the cut-off value of admission hyperglycemia for predicting postoperative pneumonia. RESULTS The incidence of postoperative pneumonia was significantly higher among hyperglycemic patients than those with normal glucose levels (OR = 2.090, 95% CI: 1.135-3.846, p = 0.016). Admission hyperglycemia showed moderate predictive power, with an area under the ROC curve of 0.803. Furthermore, propensity score-matched analyses demonstrated that patients in the Q3 (OR = 4.250, 95% CI: 1.361-13.272, p = 0.013) and Q4 (OR = 4.667, 95% CI: 1.251-17.405, p = 0.022) quartiles had a significantly higher risk of postoperative pneumonia compared to patients in the Q1 quartile. CONCLUSIONS Admission hyperglycemia in elderly hip fracture patients increases the risk of postoperative pneumonia. This biomarker can aid clinical assessment and perioperative management.
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Affiliation(s)
- Wanyun Tang
- Department of Orthopedics, Dandong Central Hospital, China Medical University, No. 338 Jinshan Street, Zhenxing District, Dandong, Liaoning Province, 118002, P.R. China
| | - Wei Yao
- Department of Orthopedics, Dandong Central Hospital, China Medical University, No. 338 Jinshan Street, Zhenxing District, Dandong, Liaoning Province, 118002, P.R. China
| | - Wei Wang
- Department of Orthopedics, Dandong Central Hospital, China Medical University, No. 338 Jinshan Street, Zhenxing District, Dandong, Liaoning Province, 118002, P.R. China
| | - Qiaomei Lv
- Department of Oncology, Dandong Central Hospital, China Medical University, No. 338 Jinshan Street, Zhenxing District, Dandong, Liaoning Province, 118002, P.R. China
| | - Wenbo Ding
- Department of Orthopedics, Dandong Central Hospital, China Medical University, No. 338 Jinshan Street, Zhenxing District, Dandong, Liaoning Province, 118002, P.R. China.
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Cosson E, Tatulashvili S, Vicaut E, Pinto S, Sal M, Nachtergaele C, Berkane N, Benbara A, Fermaut M, Portal JJ, Carbillon L, Bihan H. Glycemic status during pregnancy according to fasting and post-load glucose values: The association with adverse pregnancy outcomes. An observational study. Diabetes Metab 2023; 49:101469. [PMID: 37648077 DOI: 10.1016/j.diabet.2023.101469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/31/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023]
Abstract
AIM Prognosis of treated hyperglycemia in pregnancy (HIP) may differ according to whether diagnosis following an oral glucose tolerance test (OGTT) is based on high fasting and/or high post-load glucose values. METHODS From a multiethnic prospective study, we included 8,339 women screened for HIP after 22 weeks of gestation. We evaluated the risk of large-for-gestational-age (LGA) infant (primary endpoint) and other adverse pregnancy outcomes according to HIP status in four groups defined as follows: no HIP (n = 6,832, reference); isolated fasting HIP (n = 465), isolated post-load HIP (n = 646), and fasting and post-load HIP (n = 396). RESULTS After adjusting for age, body mass index, ethnicity, smoking during pregnancy and parity, compared with no HIP, the adjusted odds ratios [95% confidence interval] for LGA infant were higher in the isolated fasting HIP (1.47 [1.11-1.96]) and fasting and post-load HIP (1.65 [1.23-2.21]) groups, but not in the isolated post-load HIP (1.13 [0.86-1.48]) group. The adjusted odds ratios for preterm delivery and neonatal intensive care unit were higher in the post-load HIP group (1.44 [1.03-2.03] and 1.28 [1.04-1.57], respectively), the fasting and post-load HIP group (1.81 [1.23-2.68] and 1.42 [1.10-1.81], respectively) but not in the isolated fasting HIP group (1.34 [0.90-2.00] and 1.20 [0.94-1.52], respectively). CONCLUSION Despite glucose-lowering care and adjustment for confounders, compared with no HIP, fasting HIP was associated with a higher rate of LGA infant, whereas post-load HIP was associated with higher preterm delivery and neonatal intensive care unit admission rates.
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Affiliation(s)
- Emmanuel Cosson
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France; Paris 13 University, Sorbonne Paris Cité, UMR U557 INSERM/U11125 INRAE/CNAM/Université Paris13, Unité de Recherche Epidémiologique Nutritionnelle, Bobigny, France.
| | - Sopio Tatulashvili
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France; Paris 13 University, Sorbonne Paris Cité, UMR U557 INSERM/U11125 INRAE/CNAM/Université Paris13, Unité de Recherche Epidémiologique Nutritionnelle, Bobigny, France
| | - Eric Vicaut
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Sara Pinto
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, Bondy, France
| | - Meriem Sal
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
| | - Charlotte Nachtergaele
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Narimane Berkane
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
| | - Amélie Benbara
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Marion Fermaut
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Jean-Jacques Portal
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Lionel Carbillon
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Hélène Bihan
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
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Landstra CP, Nijhoff MF, Roelen DL, de Vries APJ, de Koning EJP. Diagnosis and treatment of allograft rejection in islet transplantation. Am J Transplant 2023; 23:1425-1433. [PMID: 37307954 DOI: 10.1016/j.ajt.2023.05.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/07/2023] [Indexed: 06/14/2023]
Abstract
Islet transplantation stabilizes glycemic control in patients with complicated diabetes mellitus. Rapid functional decline could be due to islet allograft rejection. However, there is no reliable method to assess rejection, and treatment protocols are absent. We aimed to characterize diagnostic features of islet allograft rejection and assess effectiveness of high-dose methylprednisolone treatment. Over a median follow-up of 61.8 months, 22% (9 of 41) of islet transplant recipients experienced 10 suspected rejection episodes (SREs). All first SREs occurred within 18 months after transplantation. Important features were unexplained hyperglycemia (all cases), unexplained C-peptide decrease (ΔC-peptide, 77.1% [-59.1% to -91.6%]; ΔC-peptide:glucose, -76.3% [-49.2% to -90.4%]), predisposing event (5 of 10 cases), and increased immunologic risk (5 of 10 cases). At 6 months post-SRE, patients who received protocolized methylprednisolone (n = 4) had significantly better islet function than untreated patients (n = 4), according to C-peptide (1.39 ± 0.59 vs 0.14 ± 0.19 nmol/L; P = .007), Igls score (good [4 of 4 cases] vs failure [3 of 4 cases] or marginal [1 of 4 cases]; P = .018) and β score (6.0 [6.0-6.0] vs 1.0 [0.0-3.5]; P = .013). SREs are prevalent among islet transplant recipients and are associated with loss of islet graft function. Timely treatment with high-dose methylprednisolone mitigates this loss. Unexplained hyperglycemia, unexpected C-peptide decrease, a predisposing event, and elevated immunologic risk are diagnostic indicators for SRE.
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Affiliation(s)
- Cyril P Landstra
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Michiel F Nijhoff
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands; Leiden Transplant Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Dave L Roelen
- Leiden Transplant Center, Leiden University Medical Center, Leiden, The Netherlands; Department of Immunohematology, Leiden University Medical Center, Leiden, The Netherlands
| | - Aiko P J de Vries
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands; Leiden Transplant Center, Leiden University Medical Center, Leiden, The Netherlands
| | - Eelco J P de Koning
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands; Leiden Transplant Center, Leiden University Medical Center, Leiden, The Netherlands.
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46
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Arnold MJ. Management of Hyperglycemia in Hospitalized Adults: Guidelines From the Endocrine Society. Am Fam Physician 2023; 108:313-314. [PMID: 37725475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Affiliation(s)
- Michael J Arnold
- Uniformed Services University of the Health Sciences, Bethesda, Md
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Kumar R, Ammar A, Kumar A, Ali A, Talpur MFH, Rahooja K, Chachar K, Wadhwa A, Sial JA, Saghir T, Khan S, Hakeem A, Qamar N, Karim M. Acute hyperglycemia, a rabble-rouser or innocent bystander? A prospective analysis of clinical implications of acute hyperglycemia in STE-ACS patients. BMC Cardiovasc Disord 2023; 23:406. [PMID: 37596526 PMCID: PMC10439549 DOI: 10.1186/s12872-023-03440-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 08/09/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND Acute hyperglycemia is considered an independent prognosticator of both in-hospital and long-term outcomes in patients with acute coronary syndrome (ACS). This study aimed To analyze the incidence of acute hyperglycemia and its impact on the adverse in-hospital outcome in patients with STE-ACS undergoing primary percutaneous coronary intervention (PCI). METHODS In this study, we enrolled patients presenting with STE-ACS and undergoing primary PCI at a tertiary care cardiac center. Acute hyperglycemia was defined as random plasma glucose (RBS) > 200 mg/dl at the time of presentation to the emergency room. RESULTS Of the 4470 patients, 78.8% were males, and the mean age was 55.52 ± 11 years. In total, 39.4% (1759) were found to have acute hyperglycemia, and of these, 59% (1037) were already diagnosed with diabetes. Patients with acute hyperglycemia were observed to have a higher incidence of heart failure (8.2% vs. 5.5%; p < 0.001), contrast-induced nephropathy (10.9% vs. 7.4%; p < 0.001), and in-hospital mortality (5.7% vs. 2.5%; p < 0.001). On multivariable analysis, acute hyperglycemia was found to be an independent predictor of mortality with an adjusted odds ratio of 1.81 [1.28-2.55]. Multi-vessel disease (1.73 [1.17-2.56]), pre-procedure left ventricular end-diastolic pressure (LVEDP) (1.02 [1.0-1.03]), and Killip class III/IV (4.55 [3.09-6.71]) were found to be the additional independent predictors of in-hospital mortality. CONCLUSIONS Acute hyperglycemia, regardless of diabetic status, is an independent predictor of in-hospital mortality among patients with STE-ACS undergoing primary PCI. Acute hyperglycemia, along with other significant predictors such as multi-vessel involvement, LVEDP, and Killip class III/IV, can be considered for the risk stratification of these patients.
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Affiliation(s)
- Rajesh Kumar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.
| | - Ali Ammar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Ashok Kumar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Ahsan Ali
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | | | - Kubbra Rahooja
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Kalsoom Chachar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Anesh Wadhwa
- Dow University of Health Sciences (DUHS), Karachi, Pakistan
| | - Jawaid Akbar Sial
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Tahir Saghir
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Sohail Khan
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Abdul Hakeem
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Nadeem Qamar
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
| | - Musa Karim
- National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan
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Schwartz X, Porter B, Gilbert MP, Sullivan A, Long B, Lentz S. Emergency Department Management of Uncomplicated Hyperglycemia in Patients without History of Diabetes. J Emerg Med 2023; 65:e81-e92. [PMID: 37474343 DOI: 10.1016/j.jemermed.2023.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/29/2023] [Accepted: 04/19/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Hyperglycemia is a common finding in patients presenting to the emergency department (ED). Recommendations addressing uncomplicated hyperglycemia in the ED are limited, and the management of those without a prior diagnosis of diabetes presents a challenge. OBJECTIVE This narrative review will discuss the ED evaluation and management of hyperglycemic adult patients without a history of diabetes who do not have evidence of a hyperglycemic crisis, such as diabetic ketoacidosis or hyperosmolar hyperglycemic state. DISCUSSION Many adults who present to the ED have risk factors for diabetes and meet American Diabetes Association (ADA) criteria for diabetes screening. A new diagnosis of type 2 diabetes can be established in the ED by the ADA criteria in patients with a random plasma glucose ≥ 200 mg/dL (11.1 mmol/L) and symptoms of hyperglycemia. The diagnosis should be considered in patients with an elevation in random blood glucose > 140 mg/dL (7.8 mmol/L). Treatment may begin in the ED and varies depending on the presenting severity of hyperglycemia. Treatment options include metformin, long-acting insulin, or deferring for close outpatient management. CONCLUSIONS Emergency clinician knowledge of the evaluation and management of new-onset hyperglycemia and diabetes is important to prevent long-term complications.
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Affiliation(s)
- Xavier Schwartz
- Department of Emergency Medicine, University of Vermont Medical Center, Burlington, Vermont
| | - Blake Porter
- Department of Pharmacy, University of Vermont Medical Center, Burlington, Vermont
| | - Matthew P Gilbert
- Division of Endocrinology and Diabetes, The University of Vermont Larner College of Medicine, Burlington, Vermont
| | - Alison Sullivan
- Department of Emergency Medicine, The University of Vermont Larner College of Medicine, Burlington, Vermont
| | - Brit Long
- San Antonio Uniformed Services Health Education Consortium, Emergency Medicine, Brooke Army Medical Center, San Antonio, Texas
| | - Skyler Lentz
- Department of Emergency Medicine, The University of Vermont Larner College of Medicine, Burlington, Vermont.
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Hill R, Hamby T, Levitt M, Siebert G, Diaz M, Mohamed A. Proactive Glucose Screening Tool Effective for Time-sensitive Identification of Hyperglycemia in Childhood Cancer Patients. J Pediatr Hematol Oncol 2023; 45:e695-e701. [PMID: 37053507 DOI: 10.1097/mph.0000000000002674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/13/2023] [Indexed: 04/15/2023]
Abstract
Approximately 4% to 35% of pediatric patients undergoing treatment for acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LLy) develop drug-induced hyperglycemia. Though hyperglycemia is associated with poor outcomes, no guidelines for identifying drug-induced hyperglycemia currently exist, and the time course for developing hyperglycemia remains relatively uncharacterized after induction therapy. The present study evaluated a hyperglycemia screening protocol that was implemented to identify hyperglycemia more promptly, examined predictors of hyperglycemia during ALL and LLy therapy, and described the timeline for developing hyperglycemia. A retrospective review of 154 patients diagnosed with ALL or LLy at Cook Children's Medical Center between March 2018 and April 2022 was performed. Predictors of hyperglycemia were examined with Cox regression. The hyperglycemia screening protocol was ordered for 88 (57%) patients. Fifty-four (35%) patients developed hyperglycemia. In multivariate analyses, age 10 years or older (hazard ratio = 2.50, P = 0.007) and weight loss (vs gain) during induction (hazard ratio = 3.39, P < 0.05) were associated with hyperglycemia. The present study identified a population of patients at risk of developing hyperglycemia and identifies strategies for hyperglycemia screening. In addition, the present study showed that some patients developed hyperglycemia after induction therapy, which highlights the importance of continued blood glucose monitoring in at-risk patients. Implications and suggestions for further research are discussed.
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Affiliation(s)
- Rachel Hill
- Department of Pediatric Hematology/Oncology Fort Worth, Texas
| | - Tyler Hamby
- Department of Research Operations, Cook Children's Health Care System Fort Worth, Texas
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center
| | - Mike Levitt
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center
| | - Garland Siebert
- Texas College of Osteopathic Medicine, University of North Texas Health Science Center
| | - Maranda Diaz
- Department of Pediatric Hematology/Oncology Fort Worth, Texas
| | - Ashraf Mohamed
- Department of Pediatric Hematology/Oncology Fort Worth, Texas
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Deutsch AJ, Schroeder PH, Mandla R, Kang S, Erenler F, Mercader JM, Udler MS, Florez JC, Brenner LN. Type 2 Diabetes Polygenic Score Predicts the Risk of Glucocorticoid-Induced Hyperglycemia in Patients Without Diabetes. Diabetes Care 2023; 46:1541-1545. [PMID: 37353344 PMCID: PMC10369128 DOI: 10.2337/dc23-0353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 05/26/2023] [Indexed: 06/25/2023]
Abstract
OBJECTIVE To assess whether increased genetic risk of type 2 diabetes (T2D) is associated with the development of hyperglycemia after glucocorticoid treatment. RESEARCH DESIGN AND METHODS We performed a retrospective analysis of individuals with no diagnosis of diabetes who received a glucocorticoid dose of ≥10 mg prednisone. We analyzed the association between hyperglycemia and a T2D global extended polygenic score, which was constructed through a meta-analysis of two published genome-wide association studies. RESULTS Of 546 individuals who received glucocorticoids, 210 developed hyperglycemia and 336 did not. T2D polygenic score was significantly associated with glucocorticoid-induced hyperglycemia (odds ratio 1.4 per SD of polygenic score; P = 0.038). CONCLUSIONS Individuals with increased genetic risk of T2D have a higher risk of glucocorticoid-induced hyperglycemia. This finding offers a mechanism for risk stratification as part of a precision approach to medical treatment.
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Affiliation(s)
- Aaron J. Deutsch
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Philip H. Schroeder
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Ravi Mandla
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Sarah Kang
- Tufts University School of Medicine, Boston, MA
| | - Feyza Erenler
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA
| | - Josep M. Mercader
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Miriam S. Udler
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jose C. Florez
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Laura N. Brenner
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Pulmonary and Critical Care Division, Massachusetts General Hospital, Boston, MA
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