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Riester MR, Zullo AR, Joshi R, Daiello LA, Hayes KN, Ko D, Kim DH, Munshi M, Berry SD. Comparative safety and cardiovascular effectiveness of sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists in nursing homes. Diabetes Obes Metab 2024. [PMID: 38779879 DOI: 10.1111/dom.15682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/01/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024]
Abstract
AIM Studies examining the safety and effectiveness of sodium-glucose cotransporter-2 inhibitors (SGLT2is) versus glucagon-like peptide-1 receptor agonists (GLP-1RAs) among community-dwelling adults may not generalize to nursing home (NH) residents, who are typically older and more multimorbid. We compared the safety and cardiovascular effectiveness of SGLT2is and GLP-1RAs among US NH residents. MATERIALS AND METHODS Eligible individuals were aged ≥66 years with type 2 diabetes mellitus and initiated an SGLT2i or GLP-1RA in an NH between 2013 and 2018. Safety outcomes included fall-related injuries, hypoglycaemia, diabetic ketoacidosis (DKA), urinary tract infection or genital infection, and acute kidney injury in the year following treatment initiation. Cardiovascular effectiveness outcomes included death, major adverse cardiovascular events and hospitalization for heart failure. Per-protocol adjusted hazard ratios (HR) were calculated using stabilized inverse probability of treatment and censoring weighted cause-specific hazard regression models accounting for 127 covariates. RESULTS The study population included 7710 residents (31.08% SGLT2i, 68.92% GLP-1RA). Compared with GLP-1RA initiators, SGLT2i initiators had higher rates of DKA (HR 1.95, 95% confidence limits 1.27, 2.99) and death (HR 1.18, 95% confidence limits 1.02, 1.36). Rates of urinary tract infection or genital infection, acute kidney injury, major adverse cardiovascular events, and heart failure were also elevated, while rates of fall-related injuries and hypoglycaemia were reduced, but all estimates were imprecise and highly compatible with no difference. CONCLUSIONS SGLT2is do not have superior, and may have inferior, effectiveness compared with GLP-1RAs for cardiovascular and mortality outcomes in NH residents. Residents initiating SGLT2is should be monitored closely for DKA.
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Affiliation(s)
- Melissa R Riester
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Andrew R Zullo
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island, USA
| | - Richa Joshi
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Lori A Daiello
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Neurology, Warren Alpert Medical School of Brown University, and Alzheimer's Disease and Memory Disorders Center at Rhode Island Hospital, Providence, Rhode Island, USA
| | - Kaleen N Hayes
- Center for Gerontology and Healthcare Research, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Graduate Department of Pharmaceutical Sciences, University of Toronto, Leslie Dan Faculty of Pharmacy, Toronto, Ontario, Canada
| | - Darae Ko
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Section of Cardiovascular Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Dae Hyun Kim
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Medha Munshi
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Geriatric Diabetes Program, Joslin Diabetes Center, Boston, Massachusetts, USA
| | - Sarah D Berry
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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Wang T, Keil AP, Kim S, Wyss R, Htoo PT, Funk MJ, Buse JB, Kosorok MR, Stürmer T. Iterative Causal Forest: A Novel Algorithm for Subgroup Identification. Am J Epidemiol 2024; 193:764-776. [PMID: 37943684 DOI: 10.1093/aje/kwad219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023] Open
Abstract
Precisely and efficiently identifying subgroups with heterogeneous treatment effects (HTEs) in real-world evidence studies remains a challenge. Based on the causal forest (CF) method, we developed an iterative CF (iCF) algorithm to identify HTEs in subgroups defined by important variables. Our method iteratively grows different depths of the CF with important effect modifiers, performs plurality votes to obtain decision trees (subgroup decisions) for a family of CFs with different depths, and then finds the cross-validated subgroup decision that best predicts the treatment effect as a final subgroup decision. We simulated 12 different scenarios and showed that the iCF outperformed other machine learning methods for interaction/subgroup identification in the majority of scenarios assessed. Using a 20% random sample of fee-for-service Medicare beneficiaries initiating sodium-glucose cotransporter-2 inhibitors or glucagon-like peptide-1 receptor agonists, we implemented the iCF to identify subgroups with HTEs for hospitalized heart failure. Consistent with previous studies suggesting patients with heart failure benefit more from sodium-glucose cotransporter-2 inhibitors, iCF successfully identified such a subpopulation with HTEs and additive interactions. The iCF is a promising method for identifying subgroups with HTEs in real-world data where the potential for unmeasured confounding can be limited by study design.
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Htoo PT, Tesfaye H, Schneeweiss S, Wexler DJ, Everett BM, Glynn RJ, Schmedt N, Koeneman L, Déruaz-Luyet A, Paik JM, Patorno E. Cardiorenal effectiveness of empagliflozin vs. glucagon-like peptide-1 receptor agonists: final-year results from the EMPRISE study. Cardiovasc Diabetol 2024; 23:57. [PMID: 38331813 PMCID: PMC10854040 DOI: 10.1186/s12933-024-02150-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 01/30/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND No randomized clinical trials have directly compared the cardiorenal effectiveness of empagliflozin and GLP-1RA agents with demonstrated cardioprotective effects in patients with a broad spectrum of cardiovascular risk. We reported the final-year results of the EMPRISE study, a monitoring program designed to evaluate the cardiorenal effectiveness of empagliflozin across broad patient subgroups. METHODS We identified patients ≥ 18 years old with type 2 diabetes who initiated empagliflozin or GLP-1RA from 2014 to 2019 using US Medicare and commercial claims databases. After 1:1 propensity score matching using 143 baseline characteristics, we evaluated risks of outcomes including myocardial infarction (MI) or stroke, hospitalization for heart failure (HHF), major adverse cardiovascular events (MACE - MI, stroke, or cardiovascular mortality), a composite of HHF or cardiovascular mortality, and progression to end-stage kidney disease (ESKD) (in patients with chronic kidney disease stages 3-4). We estimated hazard ratios (HR) and rate differences (RD) per 1,000 person-years, overall and within subgroups of age, sex, baseline atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). RESULTS We identified 141,541 matched pairs. Compared with GLP-1RA, empagliflozin was associated with similar risks of MI or stroke [HR: 0.99 (0.92, 1.07); RD: -0.23 (-1.25, 0.79)], and lower risks of HHF [HR: 0.50 (0.44, 0.56); RD: -2.28 (-2.98, -1.59)], MACE [HR: 0.90 (0.82, 0.99); RD: -2.54 (-4.76, -0.32)], cardiovascular mortality or HHF [HR: 0.77 (0.69, 0.86); RD: -4.11 (-5.95, -2.29)], and ESKD [0.75 (0.60, 0.94); RD: -6.77 (-11.97, -1.61)]. Absolute risk reductions were larger in older patients and in those with baseline ASCVD/HF. They did not differ by sex. CONCLUSIONS The cardiovascular benefits of empagliflozin vs. cardioprotective GLP-1RA agents were larger in older patients and in patients with history of ASCVD or HF, while they did not differ by sex. In patients with advanced CKD, empagliflozin was associated with risk reductions of progression to ESKD.
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Affiliation(s)
- Phyo T Htoo
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
| | - Helen Tesfaye
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
| | - Sebastian Schneeweiss
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
| | - Deborah J Wexler
- Massachusetts General Hospital Diabetes Center, Harvard Medical School, Boston, USA
| | - Brendan M Everett
- Divisions of Cardiovascular and Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, USA
| | - Robert J Glynn
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
| | - Niklas Schmedt
- Global Epidemiology, Boehringer Ingelheim International GmbH (Germany) DE, Berlin, Germany
| | - Lisette Koeneman
- Global Medical Affairs, Lilly Deutschland GmbH, Bad Homburg, Germany
| | - Anouk Déruaz-Luyet
- Global Epidemiology, Boehringer Ingelheim International GmbH (Germany) DE, Berlin, Germany
| | - Julie M Paik
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA
- Division of Renal (Kidney) Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont Street, Suite 3030, Boston, MA, 02120, USA.
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Zhang J, Latour CD, Olawore O, Pate V, Friedlander DF, Stürmer T, Jonsson Funk M, Jensen BC. Cardiovascular Outcomes of α-Blockers vs 5-α Reductase Inhibitors for Benign Prostatic Hyperplasia. JAMA Netw Open 2023; 6:e2343299. [PMID: 37962887 PMCID: PMC10646730 DOI: 10.1001/jamanetworkopen.2023.43299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/04/2023] [Indexed: 11/15/2023] Open
Abstract
Importance The most prescribed class of medications for benign prostatic hyperplasia (BPH) is α-blockers (ABs). However, the cardiovascular safety profile of these medications among patients with BPH is not well understood. Objective To compare the safety of ABs vs 5-α reductase inhibitors (5-ARIs) for risk of adverse cardiovascular outcomes. Design, Setting, and Participants This active comparator, new-user cohort study was conducted using insurance claims data from a 20% random sample of Medicare beneficiaries from 2007 to 2019 to evaluate the 1-year risk of adverse cardiovascular outcomes. Males aged 66 to 90 years were indexed into the cohort at new use of an AB or 5-ARI. Twelve months of continuous enrollment and at least 1 diagnosis code for BPH within 12 months prior to initiation were required. Data were analyzed from January 2007 through December 2019. Exposures Exposure was defined by a qualifying prescription fill for an AB or 5-ARI after at least 12 months without a prescription for these drug classes. Main Outcomes and Measures Follow-up began at a qualified refill for the study drug. Primary study outcomes were hospitalization for heart failure (HF), composite major adverse cardiovascular events (MACE; hospitalization for stroke, myocardial infarction, or death), composite MACE or hospitalization for HF, and death. Inverse probability of treatment and censoring-weighted 1-year risks, risk ratios (RRs), and risk differences (RDs) were estimated for each outcome. Results Among 189 868 older adult males, there were 163 829 patients initiating ABs (mean [SD] age, 74.6 [6.2] years; 579 American Indian or Alaska Native [0.4%], 5890 Asian or Pacific Islander [3.6%], 9179 Black [5.6%], 10 610 Hispanic [6.5%], and 133 510 non-Hispanic White [81.5%]) and 26 039 patients initiating 5-ARIs (mean [SD] age, 75.3 [6.4] years; 76 American Indian or Alaska Native [0.3%], 827 Asian or Pacific Islander [3.2%], 1339 Black [5.1%], 1656 Hispanic [6.4%], and 21 605 non-Hispanic White [83.0%]). ABs compared with 5-ARIs were associated with an increased 1-year risk of MACE (8.95% [95% CI, 8.81%-9.09%] vs 8.32% [95% CI, 7.92%-8.72%]; RR = 1.08 [95% CI, 1.02-1.13]; RD per 1000 individuals = 6.26 [95% CI, 2.15-10.37]), composite MACE and HF (RR = 1.07; [95% CI, 1.03-1.12]; RD per 1000 individuals = 7.40 [95% CI, 2.88-11.93 ]), and death (RR = 1.07; [95% CI, 1.01-1.14]; RD per 1000 individuals = 3.85 [95% CI, 0.40-7.29]). There was no difference in risk for HF hospitalization alone. Conclusions and Relevance These results suggest that ABs may be associated with an increased risk of adverse cardiovascular outcomes compared with 5-ARIs. If replicated with more detailed confounder data, these results may have important public health implications given these medications' widespread use.
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Affiliation(s)
- Jiandong Zhang
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill
| | - Chase D. Latour
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill
| | - Oluwasolape Olawore
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Virginia Pate
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | | | - Til Stürmer
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill
| | - Michele Jonsson Funk
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Brian C. Jensen
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill
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Young KG, McInnes EH, Massey RJ, Kahkoska AR, Pilla SJ, Raghavan S, Stanislawski MA, Tobias DK, McGovern AP, Dawed AY, Jones AG, Pearson ER, Dennis JM. Treatment effect heterogeneity following type 2 diabetes treatment with GLP1-receptor agonists and SGLT2-inhibitors: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:131. [PMID: 37794166 PMCID: PMC10551026 DOI: 10.1038/s43856-023-00359-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND A precision medicine approach in type 2 diabetes requires the identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy. METHODS We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes. After screening 5,686 studies, we included 101 studies of SGLT2-inhibitors and 75 studies of GLP1-receptor agonists in the final systematic review. RESULTS Here we show that the majority of included papers have methodological limitations precluding robust assessment of treatment effect heterogeneity. For SGLT2-inhibitors, multiple observational studies suggest lower renal function as a predictor of lesser glycaemic response, while markers of reduced insulin secretion predict lesser glycaemic response with GLP1-receptor agonists. For both therapies, multiple post-hoc analyses of randomized control trials (including trial meta-analysis) identify minimal clinically relevant treatment effect heterogeneity for cardiovascular and renal outcomes. CONCLUSIONS Current evidence on treatment effect heterogeneity for SGLT2-inhibitor and GLP1-receptor agonist therapies is limited, likely reflecting the methodological limitations of published studies. Robust and appropriately powered studies are required to understand type 2 diabetes treatment effect heterogeneity and evaluate the potential for precision medicine to inform future clinical care.
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Affiliation(s)
- Katherine G Young
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Eram Haider McInnes
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Robert J Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, School of Medicine, University of Colorado, Aurora, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew P McGovern
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Angus G Jones
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK.
| | - John M Dennis
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Exeter, UK.
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Hansford HJ, Cashin AG, Jones MD, Swanson SA, Islam N, Douglas SRG, Rizzo RRN, Devonshire JJ, Williams SA, Dahabreh IJ, Dickerman BA, Egger M, Garcia-Albeniz X, Golub RM, Lodi S, Moreno-Betancur M, Pearson SA, Schneeweiss S, Sterne JAC, Sharp MK, Stuart EA, Hernán MA, Lee H, McAuley JH. Reporting of Observational Studies Explicitly Aiming to Emulate Randomized Trials: A Systematic Review. JAMA Netw Open 2023; 6:e2336023. [PMID: 37755828 PMCID: PMC10534275 DOI: 10.1001/jamanetworkopen.2023.36023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/22/2023] [Indexed: 09/28/2023] Open
Abstract
Importance Observational (nonexperimental) studies that aim to emulate a randomized trial (ie, the target trial) are increasingly informing medical and policy decision-making, but it is unclear how these studies are reported in the literature. Consistent reporting is essential for quality appraisal, evidence synthesis, and translation of evidence to policy and practice. Objective To assess the reporting of observational studies that explicitly aimed to emulate a target trial. Evidence Review We searched Medline, Embase, PsycINFO, and Web of Science for observational studies published between March 2012 and October 2022 that explicitly aimed to emulate a target trial of a health or medical intervention. Two reviewers double-screened and -extracted data on study characteristics, key predefined components of the target trial protocol and its emulation (eligibility criteria, treatment strategies, treatment assignment, outcome[s], follow-up, causal contrast[s], and analysis plan), and other items related to the target trial emulation. Findings A total of 200 studies that explicitly aimed to emulate a target trial were included. These studies included 26 subfields of medicine, and 168 (84%) were published from January 2020 to October 2022. The aim to emulate a target trial was explicit in 70 study titles (35%). Forty-three studies (22%) reported use of a published reporting guideline (eg, Strengthening the Reporting of Observational Studies in Epidemiology). Eighty-five studies (43%) did not describe all key items of how the target trial was emulated and 113 (57%) did not describe the protocol of the target trial and its emulation. Conclusion and Relevance In this systematic review of 200 studies that explicitly aimed to emulate a target trial, reporting of how the target trial was emulated was inconsistent. A reporting guideline for studies explicitly aiming to emulate a target trial may improve the reporting of the target trial protocols and other aspects of these emulation attempts.
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Affiliation(s)
- Harrison J. Hansford
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Aidan G. Cashin
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Matthew D. Jones
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Sonja A. Swanson
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Nazrul Islam
- Oxford Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
- Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Susan R. G. Douglas
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
| | - Rodrigo R. N. Rizzo
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Jack J. Devonshire
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Sam A. Williams
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
| | - Issa J. Dahabreh
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Barbra A. Dickerman
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Matthias Egger
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Centre for Infectious Disease Epidemiology and Research, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Xabier Garcia-Albeniz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- RTI Health Solutions, Barcelona, Spain
| | - Robert M. Golub
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sara Lodi
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Margarita Moreno-Betancur
- Clinical Epidemiology & Biostatistics Unit, Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Sallie-Anne Pearson
- School of Population Health, Faculty of Medicine and Health, UNSW Sydney, New South Wales, Australia
| | - Sebastian Schneeweiss
- Division of Pharmacoepidemiology, Department of Medicine, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jonathan A. C. Sterne
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom
- Health Data Research UK South-West, Bristol, United Kingdom
| | - Melissa K. Sharp
- Department of Public Health and Epidemiology, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Elizabeth A. Stuart
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Miguel A. Hernán
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Hopin Lee
- University of Exeter Medical School, Exeter, United Kingdom
| | - James H. McAuley
- School of Health Sciences, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
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7
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Young KG, McInnes EH, Massey RJ, Kahkohska AR, Pilla SJ, Raghaven S, Stanislawski MA, Tobias DK, McGovern AP, Dawed AY, Jones AG, Pearson ER, Dennis JM. Precision medicine in type 2 diabetes: A systematic review of treatment effect heterogeneity for GLP1-receptor agonists and SGLT2-inhibitors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.21.23288868. [PMID: 37131814 PMCID: PMC10153311 DOI: 10.1101/2023.04.21.23288868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Background A precision medicine approach in type 2 diabetes requires identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy. Methods We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes. Results After screening 5,686 studies, we included 101 studies of SGLT2-inhibitors and 75 studies of GLP1-receptor agonists in the final systematic review. The majority of papers had methodological limitations precluding robust assessment of treatment effect heterogeneity. For glycaemic outcomes, most cohorts were observational, with multiple analyses identifying lower renal function as a predictor of lesser glycaemic response with SGLT2-inhibitors and markers of reduced insulin secretion as predictors of lesser response with GLP1-receptor agonists. For cardiovascular and renal outcomes, the majority of included studies were post-hoc analyses of randomized control trials (including meta-analysis studies) which identified limited clinically relevant treatment effect heterogeneity. Conclusions Current evidence on treatment effect heterogeneity for SGLT2-inhibitor and GLP1-receptor agonist therapies is limited, likely reflecting the methodological limitations of published studies. Robust and appropriately powered studies are required to understand type 2 diabetes treatment effect heterogeneity and evaluate the potential for precision medicine to inform future clinical care. Plain language summary This review identifies research that helps understand which clinical and biological factors that are associated with different outcomes for specific type 2 diabetes treatments. This information could help clinical providers and patients make better informed personalized decisions about type 2 diabetes treatments. We focused on two common type 2 diabetes treatments: SGLT2-inhibitors and GLP1-receptor agonists, and three outcomes: blood glucose control, heart disease, and kidney disease. We identified some potential factors that are likely to lessen blood glucose control including lower kidney function for SGLT2-inhibitors and lower insulin secretion for GLP1-receptor agonists. We did not identify clear factors that alter heart and renal disease outcomes for either treatment. Most of the studies had limitations, meaning more research is needed to fully understand the factors that influence treatment outcomes in type 2 diabetes.
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Affiliation(s)
- Katherine G Young
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Eram Haider McInnes
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Robert J Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Anna R Kahkohska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sridharan Raghaven
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, School of Medicine, University of Colorado, Aurora, USA, 80045
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew P McGovern
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Angus G Jones
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - John M Dennis
- Exeter Centre of Excellence in Diabetes (EXCEED), University of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, Barrack Road, Exeter, UK
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8
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Mudaliar S. The Evolution of Diabetes Treatment Through the Ages: From Starvation Diets to Insulin, Incretins, SGLT2-Inhibitors and Beyond. J Indian Inst Sci 2023; 103:1-11. [PMID: 36845885 PMCID: PMC9942084 DOI: 10.1007/s41745-023-00357-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 01/05/2023] [Indexed: 02/23/2023]
Abstract
Diabetes is an ancient disease and for centuries extreme diets and herbal remedies were used to treat diabetes symptoms. The discovery of insulin in 1921 transformed the landscape of diabetes treatment and was followed by the discovery of several new therapies which improved glycemia and increased patient life span. However, as patients with diabetes lived longer, they developed classic microvascular and macrovascular diabetes complications. In the 1990s, the DCCT and the UKPDS trials demonstrated that tight glucose control reduced the microvascular complications of diabetes, but had marginal effects on cardiovascular disease, the leading cause of death in patients with diabetes. In 2008, the FDA directed that all new diabetes medications demonstrate cardiovascular safety. From this recommendation emerged novel therapeutic classes, the GLP-1 receptor agonists and SGLT2-Inhibitors, which not only improve glycemia, but also provide robust cardio-renal protection. In parallel, developments in diabetes technology like continuous glucose monitoring systems, insulin pumps, telemedicine and precision medicine have advanced diabetes management. Remarkably, a century later, insulin remains a cornerstone of diabetes treatment. Also, diet and physical activity remain important components of any diabetes treatment. Today type 2 diabetes is preventable and long-term remission of diabetes is possible. Finally, progress continues in the field of islet transplantation, perhaps the ultimate frontier in diabetes management.
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Affiliation(s)
- Sunder Mudaliar
- Veterans Affairs Medical Center, San Diego, CA USA
- Diabetes/Metabolism Section, VA San Diego HealthCare System, Department of Medicine, San Diego School of Medicine, University of California at San Diego, 3350 La Jolla Village Drive (Mail Code: 111G), San Diego, CA 92161 USA
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9
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Hinton W, Ansari AS, Whyte MB, McGovern AP, Feher MD, Munro N, de Lusignan S. Sodium-glucose co-transporter-2 inhibitors in type 2 diabetes: Are clinical trial benefits for heart failure reflected in real-world clinical practice? A systematic review and meta-analysis of observational studies. Diabetes Obes Metab 2023; 25:501-515. [PMID: 36239122 DOI: 10.1111/dom.14893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 02/02/2023]
Abstract
AIM To determine the absolute risk reduction (ARR) of heart failure events in people treated with sodium-glucose co-transporter-2 (SGLT2) inhibitors. MATERIALS AND METHODS We searched PubMed, EMBASE, CINAHL and ISI Web of Science for observational studies published to 9 May 2022 that explored the association between SGLT2 inhibitors and any indication for heart failure (including new diagnosis or hospitalization for heart failure) in type 2 diabetes. Identified studies were independently screened by two reviewers and assessed for bias using the Newcastle-Ottawa scale. Eligible studies with comparable outcome data were pooled for meta-analysis using random-effects models, reporting hazard ratios (HRs) with 95% confidence intervals (CIs). The ARR per 100 person-years was determined overall, and in subgroups with and without baseline cardiovascular disease (CVD). RESULTS From 43 eligible studies, with a total of 4 818 242 participants from 17 countries, 21 were included for meta-analysis. SGLT2 inhibitors were associated with a reduced risk of hospitalization for heart failure (HR 0.65, 95% CI 0.59-0.72) overall and both in those with CVD (HR 0.78, 95% CI 0.68-0.89) and without CVD (HR 0.53, 95% CI 0.39-0.71). Risk reduction for hospitalization for heart failure in people with a history of CVD (ARR 1.17, 95% CI 0.78-1.55) was significantly greater than for those without CVD (ARR 0.39, 95% CI 0.32-0.47). The number-needed-to-treat to prevent one event of hospitalization for heart failure was 86 (95% CI 65-128) person-years of treatment for the CVD group and 256 (95% CI 215-316) person-years for those without CVD. CONCLUSIONS Real-world SGLT2 inhibitor use supports randomized trial data for the size effect of reduced hospitalization for heart failure in type 2 diabetes, although with a much lower ARR in people without CVD.
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Affiliation(s)
- William Hinton
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Abdus Samad Ansari
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Martin B Whyte
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Andrew P McGovern
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Michael D Feher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Neil Munro
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC), London, UK
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10
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Skoda R, Nemes A, Bárczi G, Vágó H, Ruzsa Z, Édes IF, Oláh A, Kosztin A, Dinya E, Merkely B, Becker D. Survival of Myocardial Infarction Patients with Diabetes Mellitus at the Invasive Era (Results from the Városmajor Myocardial Infarction Registry). J Clin Med 2023; 12:jcm12030917. [PMID: 36769565 PMCID: PMC9917755 DOI: 10.3390/jcm12030917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
Due to the lifelong nature of diabetes mellitus (DM), it has been demonstrated to have significant effects on patients' morbidity and mortality. The present study aimed to assess the effects of DM on the clinical outcome and survival in patients who underwent percutaneous coronary intervention (PCI) due to myocardial infarction (MI) and to examine the relationship of DM to the type of the MI and to left ventricular (LV) and renal functions. A total of 12,270 patients with ST-elevation MI (STEMI) or non-ST-elevation MI (NSTEMI) were revascularized at our Institution between 2005 and 2013. In this pool of patients, 4388 subjects had DM, while 7018 cases had no DM. In both STEMI and NSTEMI, the 30-day and 1-year survival were worse in diabetic patients as compared to non-diabetic cases. In the patients with DM, NSTEMI showed worse prognosis within 1-year than STEMI similarly to non-diabetic subjects. Regarding survival, the presence of DM seemed to be more important than the type of MI. Regardless of the presence of DM, reduced LV function was a maleficent prognostic sign and DM significantly reduced the prognosis both in case of reduced and normal LV function. Survival is primarily affected by LV function, rather than DM. Worse renal function is associated with worse 30-day and 1-year survival in both cases with and without DM. Considering different renal functions, the presence of DM worsens both short- and long-term survival. Survival is primarily affected by renal function, rather than DM. The results from a high-volume PCI center confirm significant the negative prognostic impact of DM on survival in MI patients. DM is a more important prognostic factor than the type of the MI. However, survival is primarily affected by LV and renal functions, rather than DM. These results could highlight our attention on the importance of recent DM treatment with new drugs including SGLT-2 inhibitors and GLP-1 antagonists with beneficial effects on survival.
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Affiliation(s)
- Réka Skoda
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Attila Nemes
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
- Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
| | - György Bárczi
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Hajnalka Vágó
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Zoltán Ruzsa
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
- Department of Medicine, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary
| | - István F. Édes
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Attila Oláh
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Annamária Kosztin
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Elek Dinya
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
| | - Dávid Becker
- Heart and Vascular Center, Semmelweis University, 1085 Budapest, Hungary
- Correspondence:
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11
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Mascolo A, Di Napoli R, Balzano N, Cappetta D, Urbanek K, De Angelis A, Scisciola L, Di Meo I, Sullo MG, Rafaniello C, Sportiello L. Safety profile of sodium glucose co-transporter 2 (SGLT2) inhibitors: A brief summary. Front Cardiovasc Med 2022; 9:1010693. [PMID: 36211584 PMCID: PMC9532622 DOI: 10.3389/fcvm.2022.1010693] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
A new therapeutic class of oral agents firstly used for the treatment of type 2 diabetes mellitus is represented by gliflozines or sodium-glucose co-transporter 2 (SGLT2) inhibitors. SGLT2 inhibitors might be effective alone or in combination with any other drugs. This therapeutic class currently includes five agents: canagliflozin, dapagliflozin, empagliflozin, ertugliflozin, and sotagliflozin. SGLT2 inhibitors prevent the renal reabsorption of filtered glucose and sodium by blocking the SGLT2 co-transporters in the proximal convoluted renal tubule, facilitating glucose excretion in the urine (glycosuria) and lowering blood glucose levels. SGLT2 inhibitors have also shown to have pleiotropic effects and determine cardiovascular and renal prevention, thus leading to an extension of their therapeutic indication to include the heart failure. Despite their clinical benefits, warnings about adverse events have been implemented by Regulatory Agencies in the product's information since their introduction to the market. In particular, SGLT2 inhibitors have shown a strong impact on a high number of risk factors. They can cause hypoglycaemia, hypotension, lower limb amputation, fractures, genito-urinary infections, and diabetic ketoacidosis with different frequencies of onset. Despite some of these events are rare, they can lead to serious and dangerous complications, highlighting the importance of a strict monitoring of patients. Overall, SLGT-2 inhibitors are effective antidiabetic drugs with favorable advantages in renal and cardiovascular protection, and with a generally well-tolerated safety profile. This review aims to summarize the safety profile of SGLT2 inhibitors available in the market.
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Affiliation(s)
- Annamaria Mascolo
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Raffaella Di Napoli
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Nunzia Balzano
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Donato Cappetta
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Konrad Urbanek
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy
- CEINGE-Biotecnologie Avanzate, Naples, Italy
| | - Antonella De Angelis
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Lucia Scisciola
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Irene Di Meo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Maria Giuseppa Sullo
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Concetta Rafaniello
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Liberata Sportiello
- Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Naples, Italy
- Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Naples, Italy
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12
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Comparison of Clinical Outcomes after Non-ST-Segment and ST-Segment Elevation Myocardial Infarction in Diabetic and Nondiabetic Populations. J Clin Med 2022; 11:jcm11175079. [PMID: 36079008 PMCID: PMC9456669 DOI: 10.3390/jcm11175079] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/25/2022] [Accepted: 08/25/2022] [Indexed: 11/18/2022] Open
Abstract
Using a new-generation drug-eluting stent, we compared the 2-year clinical outcomes of patients with diabetes mellitus (DM) and non-DM concomitant with a non-ST-segment elevation myocardial infarction (NSTEMI) and an ST-segment elevation myocardial infarction (STEMI) who underwent percutaneous coronary intervention. A total of 11,798 patients with acute myocardial infarction were classified into two groups: DM (NSTEMI, n = 2399; STEMI, n = 2693) and non-DM (NSTEMI, n = 2694; STEMI, n = 4012). The primary clinical outcome was the occurrence of major adverse cardiac events (MACE), defined as all-cause death, recurrent myocardial infarction, or any coronary repeat revascularization. The secondary outcome was the occurrence of definite or probable stent thrombosis. In all the patients, both multivariable and propensity score-adjusted analyses revealed that the incidence rates of MACE (adjusted hazard ratio (aHR), 1.214; p = 0.006 and aHR, 1.298; p = 0.002, respectively), all-cause death, cardiac death (CD), and non-CD rate were significantly higher in the NSTEMI group than in the STEMI group. Additionally, among patients with NSTEMI, there was a higher non-CD rate (aHR, 2.200; p = 0.007 and aHR, 2.484; p = 0.004, respectively) in the DM group and a higher CD rate (aHR, 2.688; p < 0.001 and 2.882; p < 0.001, respectively) in the non-DM group. In this retrospective study, patients with NSTEMI had a significantly higher 2-year mortality rate than those with STEMI did. Furthermore, strategies to reduce the non-CD rate in patients with DM and the CD rate in patients without DM could be beneficial for those with NSTEMI.
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13
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Reply to "GLP1RA versus SGLT2i tended to have more favorable ischemic outcomes including stroke?". Int J Cardiol 2022; 369:12. [PMID: 36028096 DOI: 10.1016/j.ijcard.2022.08.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 08/22/2022] [Indexed: 11/20/2022]
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