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Wang Y, Qin Y, Zhang J, Wu A, Qin X, Du L, Zhang H, Guo X, Zhang S. Sodium-Glucose Cotransporter-2 Inhibitors and Diabetic-Ketoacidosis in T2DM Patients: An Updated Meta-Analysis and a Mendelian Randomization Analysis. Clin Pharmacol Ther 2025; 117:1661-1669. [PMID: 40070044 DOI: 10.1002/cpt.3615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Accepted: 02/10/2025] [Indexed: 05/20/2025]
Abstract
To evaluate the association of sodium-glucose cotransporter 2 inhibitors (SGLT2i) with diabetic ketoacidosis (DKA) in type 2 diabetes mellitus (T2DM) patients across different subgroups, we searched randomized controlled trials (RCTs) comparing SGLT2i with the control groups among T2DM patients and including DKA as a safety outcome. Pooled risk ratios (RRs) were calculated using random or fixed-effects models, as appropriate. An inverse-variance-weighted Mendelian randomization (MR) analysis was performed to estimate the genetic correlation. Twenty-two trials involving 80,235 patients were included. SGLT2i increased the risk of DKA compared to the control groups (RR 2.32, 95% CI 1.64-3.27). The risk was significantly increased in patients with higher HbA1c levels (> 7.9%) (RR 2.24, 95% CI 1.59-3.14), but not in those with lower HbA1c levels (≤ 7.9%) (RR 1.05, 95% CI 0.49-2.26; interaction P = 0.034). SGLT2i increased DKA risk in chronic kidney disease (CKD) (RR 2.70, 95% CI 1.55-4.71) and high atherosclerotic cardiovascular disease (ASCVD) risk trials (RR 2.46, 95% CI 1.47-4.11) but not significantly in heart failure (HF) trials (RR 1.23, 95% CI 0.51-2.96). Moreover, in the HF trials, SGLT2i consistently did not increase the risk of DKA in any clinical subgroups. Nevertheless, MR analysis still confirmed a genetic association between SGLT2i and the risk of DKA among overall T2DM patients. SGLT2i may increase the risk of DKA in T2DM patients, particularly in patients with higher levels of HbA1c and those with comorbid CKD or at high-risk ASCVD. However, the increased risk was not significant in patients with HF.
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Affiliation(s)
- Yufei Wang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuhan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Anhu Wu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohan Qin
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Le Du
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Huabing Zhang
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoxiao Guo
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Internal Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Selvaraj S, Fu Z, Jones P, Kwee LC, Windsor SL, Ilkayeva O, Newgard CB, Margulies KB, Husain M, Inzucchi SE, McGuire DK, Pitt B, Scirica BM, Lanfear DE, Nassif ME, Javaheri A, Mentz RJ, Kosiborod MN, Shah SH. Metabolomic Profiling of the Effects of Dapagliflozin in Heart Failure With Reduced Ejection Fraction: DEFINE-HF. Circulation 2022; 146:808-818. [PMID: 35603596 PMCID: PMC9474658 DOI: 10.1161/circulationaha.122.060402] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/18/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Sodium-glucose cotransporter-2 inhibitors are foundational therapy in patients with heart failure with reduced ejection fraction (HFrEF), but underlying mechanisms of benefit are not well defined. We sought to investigate the relationships between sodium-glucose cotransporter-2 inhibitor treatment, changes in metabolic pathways, and outcomes using targeted metabolomics. METHODS DEFINE-HF (Dapagliflozin Effects on Biomarkers, Symptoms and Functional Status in Patients With HF With Reduced Ejection Fraction) was a placebo-controlled trial of dapagliflozin in HFrEF. We performed targeted mass spectrometry profiling of 63 metabolites (45 acylcarnitines [markers of fatty acid oxidation], 15 amino acids, and 3 conventional metabolites) in plasma samples at randomization and 12 weeks. Using mixed models, we identified principal components analysis-defined metabolite clusters that changed differentially with treatment and examined the relationship between change in metabolite clusters and change in Kansas City Cardiomyopathy Questionnaire scores and NT-proBNP (N-terminal probrain natriuretic peptide). Models were adjusted for relevant clinical covariates and nominal P<0.05 with false discovery rate-adjusted P<0.10 was used to determine statistical significance. RESULTS Among the 234 DEFINE-HF participants with targeted metabolomic data, the mean age was 62.0±11.1 years, 25% were women, 38% were Black, and mean ejection fraction was 27±8%. Dapagliflozin increased ketone-related and short-chain acylcarnitine as well as medium-chain acylcarnitine principal components analysis-defined metabolite clusters compared with placebo (nominal P=0.01, false discovery rate-adjusted P=0.08 for both clusters). However, ketosis (β-hydroxybutyrate levels >500 μmol/L) was achieved infrequently (3 [2.5%] in dapagliflozin arm versus 1 [0.9%] in placebo arm) and supraphysiologic levels were not observed. Increases in long-chain acylcarnitine, long-chain dicarboxylacylcarnitine, and aromatic amino acid metabolite clusters were associated with decreases in Kansas City Cardiomyopathy Questionnaire scores (ie, worse quality of life) and increases in NT-proBNP levels, without interaction by treatment group. CONCLUSIONS In this study of targeted metabolomics in a placebo-controlled trial of sodium-glucose cotransporter-2 inhibitors in HFrEF, we observed effects of dapagliflozin on key metabolic pathways, supporting a role for altered ketone and fatty acid biology with sodium-glucose cotransporter-2 inhibitors in patients with HFrEF. Only physiologic levels of ketosis were observed. In addition, we identified several metabolic biomarkers associated with adverse HFrEF outcomes. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT02653482.
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Affiliation(s)
- Senthil Selvaraj
- Division of Cardiology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Zhuxuan Fu
- Saint Luke’s Mid America Heart Institute, Kansas City, MO
| | - Philip Jones
- Saint Luke’s Mid America Heart Institute, Kansas City, MO
| | - Lydia C. Kwee
- Duke Molecular Physiology Institute, Durham, North Carolina
| | | | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, North Carolina
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | | | - Kenneth B. Margulies
- Division of Cardiology, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Mansoor Husain
- Ted Rogers Centre for Heart Research, University of Toronto, Canada
| | | | - Darren K. McGuire
- University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, TX
| | - Bertram Pitt
- University of Michigan School of Medicine, Ann Arbor, MI
| | - Benjamin M. Scirica
- Cardiovascular Division, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - David E. Lanfear
- Center for Individualized and Genomic Medicine Research, Henry Ford Hospital, Detroit, Michigan; Heart and Vascular Institute, Henry Ford Hospital, Detroit, Michigan
| | - Michael E. Nassif
- Saint Luke’s Mid America Heart Institute, Kansas City, MO
- University of Missouri-Kansas City, MO
| | - Ali Javaheri
- Washington University School of Medicine, St. Louis, MO
| | - Robert J. Mentz
- Division of Cardiology, Duke University Medical Center, Durham, North Carolina
| | - Mikhail N. Kosiborod
- Saint Luke’s Mid America Heart Institute, Kansas City, MO
- University of Missouri-Kansas City, MO
| | - Svati H. Shah
- Duke Molecular Physiology Institute, Durham, North Carolina
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Ge Y, Zhang L, Gao Y, Wang B, Zheng X. Socio-economic status and 1 year mortality among patients hospitalized for heart failure in China. ESC Heart Fail 2022; 9:1027-1037. [PMID: 34994074 PMCID: PMC8934978 DOI: 10.1002/ehf2.13762] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/19/2021] [Accepted: 11/24/2021] [Indexed: 11/10/2022] Open
Abstract
AIMS This study explored the association between socio-economic status (SES) and mortality among patients hospitalized for heart failure (HF) in China. METHODS AND RESULTS We used data from the China Patient-centred Evaluative Assessment of Cardiac Events-Prospective Heart Failure Study (China PEACE 5p-HF Study), which enrolled patients hospitalized primarily for HF from 52 hospitals between 2016 and 2018. SES was measured using the income, employment status, educational attainment, and partner status. Individual socio-economic risk factor (SERF) scores were assigned based on the number of coexisting SERFs, including low income, unemployed status, low education, and unpartnered status. We assessed the effects of SES on 1 year all-cause mortality using Cox models. We used the Harrell c statistic to investigate whether SES added incremental prognostic information for mortality prediction. A total of 4725 patients were included in the analysis. The median (interquartile range) age was 67 (57-76) years; 37.6% were women. In risk-adjusted analyses, patients with low/middle income [low income: hazard ratio (HR) 1.61, 95% confidence interval (CI) 1.21-2.14; middle income: HR 1.32, 95% CI 1.00-1.74], unemployment status (HR 1.43, 95% CI 1.10-1.86), low education (HR 1.25, 95% CI 1.03-1.53), and unpartnered status (HR 1.22, 95% CI 1.03-1.46) had a higher risk of death than patients with high income, who were employed, who had a high education level, and who had a partner, respectively. Compared with the patients without SERFs, those with 1, 2, 3, and 4 SERFs had 1.52-, 2.01-, 2.45-, and 3.20-fold increased risk of death, respectively. The addition of SES to fully adjusted model improved the mortality prediction, with increments in c statistic of 0.01 (P < 0.01). CONCLUSIONS In a national Chinese cohort of patients hospitalized for HF, low income, unemployment status, low education, and unpartnered status were all associated with a higher risk of death 1 year following discharge. In addition, incorporating SES into a clinical-based model could better identify patients at risk for death. Tailored clinical interventions are needed to mitigate the excess risk experienced by those socio-economic deprived HF patients.
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Affiliation(s)
- Yilan Ge
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Lihua Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Yan Gao
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Bin Wang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
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- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
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Cavka L, Bencak Ferko U, Pitz N, Trpkovski Z, Lainscak M. Sodium-glucose cotransporter 2 inhibitor-induced euglycaemic diabetic ketoacidosis in heart failure with preserved ejection fraction. ESC Heart Fail 2021; 8:2631-2636. [PMID: 34102028 PMCID: PMC8318418 DOI: 10.1002/ehf2.13452] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/17/2021] [Accepted: 05/21/2021] [Indexed: 12/13/2022] Open
Abstract
The number of patients receiving sodium-glucose cotransporter 2 inhibitors (SGLT2is), especially those with heart failure, is increasing worldwide. SGLT2is control glycaemia by triggering glycosuria with simultaneous facilitation of a more ketogenic metabolic profile. Patients therefore are more prone to develop euglycaemic diabetic ketoacidosis (euDKA), an entity largely unknown beyond diabetes care professionals. We present a heart failure with preserved ejection fraction (HFpEF) patient with known Type 2 diabetes. He was treated with dapagliflozin and presented acutely with dyspnoea, hyperglycaemia, and ketoacidosis. After standard treatment for diabetic ketoacidosis, hyperglycaemia was corrected, while metabolic ketoacidosis persisted, and thus, euDKA was suspected. With adequate therapy, the patient recovered completely and was discharged without any sequelae. To the best of our knowledge, our case is the first to describe SGLT2i-induced euDKA in HFpEF patients. Regarding no previous reports of euDKA in heart failure with reduced ejection fraction, our report is highly relevant for ongoing SGLT2i trials in HFpEF and clinical practice in general.
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Affiliation(s)
- Luka Cavka
- Division of Medical Oncology, Institute of Oncology Ljubljana, Zaloška cesta 2, Ljubljana, 1000, Slovenia.,Department of Oncology, University Medical Center Maribor, Maribor, Slovenia.,Division of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Urska Bencak Ferko
- Division of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Natasa Pitz
- Division for Diabetes, General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Zoranco Trpkovski
- Division for Diabetes, General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Mitja Lainscak
- Division of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia.,Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.,Faculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia
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