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Agrawal S, Alhaddad Z, Nabia S, Rehman OU, Kiyani M, Kumar A, Regmi N, Pingili A, Garg T, Allamaneni R, Paudel A, Fonarow GC, Agarwal A. Prescription Patterns in Management of Heart Failure and Its Association With Readmissions: A Retrospective Analysis. J Card Fail 2025; 31:635-645. [PMID: 39332476 DOI: 10.1016/j.cardfail.2024.08.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 08/06/2024] [Accepted: 08/13/2024] [Indexed: 09/29/2024]
Abstract
BACKGROUND The American Heart Association/American College of Cardiology/Heart Failure Society of America recently added sodium-glucose cotransporter-2 inhibitors in addition to renin-angiotensin-aldosterone system inhibitors, beta-blockers, and mineralocorticoid receptor antagonists to form the 4 pillars of guideline-directed medical therapy (GDMT) for the management of heart failure with reduced ejection fraction (HFrEF). Despite strong evidence suggesting improved outcomes with inpatient initiation of GDMT at target doses, significant lag has been noted in prescription practices. We sought to study GDMT prescription rates in patients with HFrEF at the time of hospital discharge and evaluate its association with various patient characteristics and all-cause readmission rates. METHODS AND RESULTS We used a modified version of Heart Failure Collaboratory (HFC) score to characterize patients into 2 groups (those with an HFC score of <3 and an HFC score of ≥3) and to examine various socioeconomic and biomedical factors affecting GDMT prescription practices. Out of the eligible patients, the prescription rates for beta-blockers was 77.9%, renin-angiotensin-aldosterone system inhibitor was 70.3%, and mineralocorticoid receptor antagonists was 41%. Furthermore, prescription rates for sacubitril/valsartan was 27.7% and sodium-glucose cotransporter-2 inhibitors was 17%. Only 1% of patients had an HFC score of 9 (drugs from all 4 classes at target doses). Patients of black ethnicity, those admitted on teaching service and those with HFrEF as the primary cause of admission were more likely to have an HFC of ≥3 at discharge. An HFC of ≥3 was associated with lower rates of 1-month all-cause readmissions. CONCLUSIONS Consistent with the prior research, our data show significant gaps in prescription of GDMT in HFrEF. Further implementation research should be done to improve GDMT prescription during inpatient stay.
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Affiliation(s)
- Simran Agrawal
- Department of Medicine, MedStar Health, Baltimore, Maryland
| | - Zayd Alhaddad
- Department of Medicine, MedStar Health, Baltimore, Maryland
| | - Sarah Nabia
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Madiha Kiyani
- Department of Medicine, MedStar Health, Baltimore, Maryland
| | - Ajay Kumar
- Department of Medicine, MedStar Health, Baltimore, Maryland
| | - Nripesh Regmi
- Department of Medicine, MedStar Health, Baltimore, Maryland
| | | | - Tushar Garg
- Stop TB Partnership, Global Health campus, Geneva, Switzerland
| | | | - Amrit Paudel
- Department of Medicine, University of Miami, Jackson Memorial Hospital, Miami, Florida
| | - Greg C Fonarow
- Department of Cardiology, University of California Los Angeles, Los Angeles, California
| | - Anup Agarwal
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland.
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Arshad MS, Jamil A, Greene SJ, Van Spall HGC, Fonarow GC, Butler J, Khan MS. In-hospital initiation of sodium-glucose co-transporter-2 inhibitors in patients with acute heart failure. Heart Fail Rev 2025; 30:89-101. [PMID: 39404914 DOI: 10.1007/s10741-024-10446-2] [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] [Accepted: 09/28/2024] [Indexed: 12/15/2024]
Abstract
Sodium-glucose cotransporter-2 (SGLT2) inhibitors provide cardiovascular and kidney benefits to patients with heart failure (HF) and/or chronic kidney disease (CKD), regardless of diabetes status and left ventricular ejection fraction (LVEF). Despite robust data demonstrating the efficacy of SGLT-2 inhibitors in both ambulatory and hospital settings, real-world evidence suggests slow and varied adoption of SGLT2 inhibitors among patients hospitalized for HF. Barriers to implementation of SGLT2i may include clinicians' concerns regarding potential adverse events such as diabetic ketoacidosis (DKA), volume depletion, and symptomatic hypoglycemia; or concerns regarding physiologically expected reductions in eGFR. Guidelines lack specific, practical safety data and definitive recommendations regarding in-hospital initiation and continuation of SGLT2i in patients hospitalized with HF. In this review, we discuss the safety of in-hospital SGLT2 inhibitor initiation based on recent trials and highlight the clinical implications of their early use in patients hospitalized for HF.
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Affiliation(s)
| | - Adeena Jamil
- Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan
| | - Stephen J Greene
- Duke Clinical Research Institute, Durham, NC, USA
- Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
| | - Harriette G C Van Spall
- Faculty of Health Science, McMaster University, Hamilton, Canada Population Health Research Institute, Hamilton, Canada
- Baim Institute of Clinical Research, Boston, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles, CA, USA
| | - Javed Butler
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Baylor Scott and White Research Institute, Dallas, TX, USA
| | - Muhammad Shahzeb Khan
- Baylor Scott and White Research Institute, Dallas, TX, USA.
- The Heart Hospital Plano, Plano, TX, USA.
- Department of Medicine, Baylor College of Medicine, Temple, TX, USA.
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Bolakale-Rufai IK, Knapp SM, Johnson AE, Brewer L, Mohammed S, Addison D, Mazimba S, Tucker-Edmonds B, Breathett K. Association Between Race, Cardiology Care, and the Receipt of Guideline-Directed Medical Therapy in Peripartum Cardiomyopathy. J Racial Ethn Health Disparities 2024; 11:3872-3881. [PMID: 37870730 PMCID: PMC11035491 DOI: 10.1007/s40615-023-01838-5] [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: 08/10/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Black patients with peripartum cardiomyopathy (PPCM) have disproportionately worse outcomes than White patients, possibly related to variable involvement of cardiovascular specialists in their clinical care. We sought to determine whether race was associated with cardiology involvement in clinical care during inpatient admission and whether cardiology involvement in care was associated with higher claims of guideline-directed medical therapy (GDMT) a week after hospital discharge. METHODS Using Optum's de-identified Clinformatics® Data Mart (CDM), we included Black and White patients' first hospital admission for PPCM from 2008 to 2021. Cardiology involvement in clinical care was defined as the receipt of attending care from a cardiovascular specialist during admission. GDMT included beta-blockers (BB) for all patients and triple therapy (BB, angiotensin-responsive medications, and mineralocorticoid receptor antagonists) for non-pregnant patients. Logistic regression was used to determine the associations between cardiology involvement in clinical care during admission and (1) patient race and (2) GDMT prescription, adjusting for age and comorbidities. RESULTS Among 668 patients (32.6% Black, 67.4% White, 93.3% commercially insured), there was no significant difference in the odds of cardiology involvement in clinical care by race (aOR: 1.41; 95%CI: 0.87-2.33, P=0.17). Inpatient cardiology care was associated with 2.75 times increased odds of having a prescription claim for GDMT (BB) for White patients (aOR: 2.75; 95%CI 1.50-5.06, P=0.001), and the estimated effect size was similar but not statistically significant for Black patients (aOR: 2.20, 95% CI, 0.84-5.71, P=0.11). The interaction between race and cardiology involvement in clinical care was not statistically significant for the receipt of BB prescription. Among 274 non-pregnant patients with PPCM (37.2% Black, 62.8% White), 5.8% received triple GDMT. Of these, none of the Black patients lacking cardiology care had triple GDMT. However, cardiology involvement in care was not significantly associated with triple GDMT for either race. CONCLUSIONS Among a commercially insured population within PPCM, race was not associated with cardiology involvement in clinical care during hospitalization. However, cardiology involvement in care was associated with significantly higher odds of prescription claims for BB for only White patients. Additional strategies are needed to support equitable GDMT prescription.
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Affiliation(s)
- Ikeoluwapo Kendra Bolakale-Rufai
- Division of Cardiovascular Medicine, Krannert Cardiovascular Research Center, Indiana University, 1800 North Capitol Avenue, Indianapolis, IN, 46202, USA
| | - Shannon M Knapp
- Division of Cardiovascular Medicine, Krannert Cardiovascular Research Center, Indiana University, 1800 North Capitol Avenue, Indianapolis, IN, 46202, USA
| | - Amber E Johnson
- Division of Cardiology, University of Chicago, Chicago, IL, USA
| | | | - Selma Mohammed
- Division of Cardiology, Creighton University, Omaha, USA
| | - Daniel Addison
- Division of Cardiovascular Medicine, The Ohio State University, Columbus, USA
| | - Sula Mazimba
- Division of Cardiovascular Medicine, University of Virginia, Charlottesville, USA
| | | | - Khadijah Breathett
- Division of Cardiovascular Medicine, Krannert Cardiovascular Research Center, Indiana University, 1800 North Capitol Avenue, Indianapolis, IN, 46202, USA.
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Fletcher RA, Rockenschaub P, Neuen BL, Walter IJ, Conrad N, Mizani MA, Bolton T, Lawson CA, Tomlinson C, Logothetis SB, Petitjean C, Brizzi LF, Kaptoge S, Raffetti E, Calvert PA, Di Angelantonio E, Banerjee A, Mamas MA, Squire I, Denaxas S, McDonagh TA, Sudlow C, Petersen SE, Chertow GM, Khunti K, Sundström J, Arnott C, Cleland JGF, Danesh J, McMurray JJV, Vaduganathan M, Wood AM. Contemporary epidemiology of hospitalised heart failure with reduced versus preserved ejection fraction in England: a retrospective, cohort study of whole-population electronic health records. Lancet Public Health 2024; 9:e871-e885. [PMID: 39486903 DOI: 10.1016/s2468-2667(24)00215-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 08/21/2024] [Accepted: 08/28/2024] [Indexed: 11/04/2024]
Abstract
BACKGROUND Heart failure is common, complex, and often associated with coexisting chronic medical conditions and a high mortality. We aimed to assess the epidemiology of people admitted to hospital with heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF), including the period covering the COVID-19 pandemic, which was previously not well characterised. METHODS In this retrospective, cohort study, we used whole-population electronic health records with 57 million individuals in England to identify patients hospitalised with heart failure as the primary diagnosis in any consultant episode of an in-patient admission to a National Health Service (NHS) hospital. We excluded individuals with less than 1 year of medical history records in primary or secondary care; admissions to NHS hospitals for which less than 10% of heart failure cases were linkable to the National Heart Failure Audit (NHFA); individuals younger than 18 years at the time of the heart failure hospitalisation; and patients who died in hospital during the index heart failure admission. For patients with new onset heart failure, we assessed incidence rates of 30-day and 1-year all-cause and cause-specific (cardiovascular, non-cardiovascular, and heart failure-related) emergency rehospitalisation and mortality after discharge, and dispensed guideline-recommended medical therapy (GRMT). Follow-up occurred from the index admission to the earliest occurrence of the event of interest, death, or end of data coverage. We estimated adjusted hazard ratios (HRs) to compare HFrEF with HFpEF. We computed population-attributable fractions to quantify the percentage of outcomes attributable to coexisting chronic medical conditions. FINDINGS Among 233 320 patients identified who survived the index heart failure admission across 335 NHS hospitals between Jan 1, 2019, and Dec 31, 2022, 101 320 (43·4%) had HFrEF, 71 910 (30·8%) had HFpEF, and 60 090 (25·8%) had an unknown classification. In patients with new onset heart failure, there were reductions in all-cause 30-day (-5·2% [95% CI -7·7 to -2·6] in 2019-22) and 1-year rehospitalisation rates (-3·9% [-6·6 to -1·2]). Declining 30-day rehospitalisation rates affected patients with HFpEF (-4·8% [-9·2 to -0·2]) and HFrEF (-6·2% [-10·5 to -1·6]), although 1-year rates were not statistically significant for patients with HFpEF (-2·2% [-6·6 to 2·3] vs -5·7% [-10·6 to -0·5] for HFrEF). There were no temporal trends in incidence rates of 30-day or 1-year mortality after discharge. The rates of all-cause (HR 1·20 [1·18-1·22]) and cause-specific rehospitalisation were uniformly higher in those with HFpEF than those with HFrEF. Patients with HFpEF also had higher rates of 1-year all-cause mortality after discharge (HR 1·07 [1·05-1·09]), driven by excess risk of non-cardiovascular death (HR 1·25 [1·21-1·29]). Rates of rehospitalisation and mortality were highest in patients with coexisting chronic kidney disease, chronic obstructive pulmonary disease, dementia, and liver disease. Chronic kidney disease contributed to 6·5% (5·6-7·4) of rehospitalisations within 1 year for HFrEF and 5·0% (4·1-5·9) of rehospitalisations for HFpEF, double that of any other coexisting condition. There was swift implementation of newer GRMT, but markedly lower dispensing of these medications in patients with coexisting chronic kidney disease. INTERPRETATION Rates of rehospitalisation in patients with heart failure in England have decreased during 2019-22. Further population health improvements could be reached through enhanced implementation of GRMT, particularly in patients with coexisting chronic kidney disease, who, despite being at high risk, remain undertreated. FUNDING Wellcome Trust, Health Data Research UK, British Heart Foundation Data Science Centre.
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Affiliation(s)
- Robert A Fletcher
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Health Data Research UK, London, UK; George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Patrick Rockenschaub
- Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics, and Informatics, Medical University of Innsbruck, Innsbruck, Austria
| | - Brendon L Neuen
- George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Department of Renal Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Isabel Johanna Walter
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Nathalie Conrad
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; School of Cardiovascular and Metabolic Health, British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | | | - Thomas Bolton
- British Heart Foundation Data Science Centre, London, UK
| | - Claire A Lawson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK; National Institute for Health and Care Research Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | - Christopher Tomlinson
- Institute of Health Informatics, University College London, London, UK; University College London Hospitals Biomedical Research Centre, University College London, London, UK; UK Research and Innovation Centre for Doctoral Training in AI-enabled Healthcare Systems, University College London, London, UK
| | - Stelios Boulitsakis Logothetis
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Carmen Petitjean
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Luigi Filippo Brizzi
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Elena Raffetti
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Department of Earth Sciences, Uppsala University, Uppsala, Sweden
| | - Patrick A Calvert
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; Department of Cardiology, Royal Papworth Hospital NHS Trust, Cambridge, UK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus, University of Cambridge, Cambridge, UK; Fondazione Human Technopole, Milan, Italy
| | - Amitava Banerjee
- Institute of Health Informatics, University College London, London, UK; Department of Cardiology, University College London Hospitals NHS Trust, London, UK; Department of Cardiology, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK
| | - Mamas A Mamas
- Centre for Prognosis Research, Keele University, Stoke-On-Trent, UK
| | - Iain Squire
- National Institute for Health and Care Research Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | - Spiros Denaxas
- British Heart Foundation Data Science Centre, London, UK; Health Data Research UK, London, UK; Institute of Health Informatics, University College London, London, UK; University College London Hospitals Biomedical Research Centre, University College London, London, UK
| | - Theresa A McDonagh
- Department of Cardiovascular Sciences, British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine, King's College London, London, UK; Department of Cardiology, King's College Hospital NHS Foundation Trust, London, UK
| | - Cathie Sudlow
- British Heart Foundation Data Science Centre, London, UK
| | - Steffen E Petersen
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Glenn M Chertow
- Departments of Medicine, Epidemiology and Population Health, and Health Policy, Stanford University School of Medicine, Stanford, CA, USA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Johan Sundström
- George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Clare Arnott
- George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - John G F Cleland
- School of Cardiovascular and Metabolic Health, British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus, University of Cambridge, Cambridge, UK; Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - John J V McMurray
- School of Cardiovascular and Metabolic Health, British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Muthiah Vaduganathan
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Angela M Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus, University of Cambridge, Cambridge, UK; Cambridge Centre for Artificial Intelligence in Medicine, University of Cambridge, Cambridge, UK; British Heart Foundation Data Science Centre, London, UK.
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Makortoff L, Then KL, Dutchak M, Lin M, Youngson E, Harten C. ECLIPSES: Early initiation of sodium glucose cotransporter-2 inhibitors for cardiovascular protection in patients with type 2 diabetes following acute coronary syndrome and subsequent coronary artery bypass graft surgery. Pharmacotherapy 2024; 44:841-850. [PMID: 39460440 DOI: 10.1002/phar.4620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 09/16/2024] [Accepted: 09/23/2024] [Indexed: 10/28/2024]
Abstract
INTRODUCTION There is a paucity of data evaluating early initiation of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with diabetes following acute coronary syndrome (ACS) and coronary artery bypass graft surgery (CABG). OBJECTIVES To describe the efficacy and safety of SGLT2i initiated early after CABG in patients with type 2 diabetes who experienced ACS. METHODS This is a retrospective cohort study of patients with type 2 diabetes (T2DM) who experienced ACS and subsequent CABG with follow up at 3 and 12 months. Patients who filled a SGLT2i prescription within 14 days of discharge were allocated to the SGLT2i group and those who did not were included in the no SGLT2i group. The primary efficacy end point was first occurrence of a 4-point Major Adverse Cardiovascular Event (MACE), and the primary safety end point was a composite of hypoglycemia, hypotension, diabetic ketoacidosis, acute kidney injury, and urinary tract infection. Secondary end points included a comparative analysis of the primary outcome, 30-day readmission rates, and subgroup analyses of key populations. RESULTS A total of 1629 patients were included: 226 received a SGLT2i within 14 days of discharge and 1403 did not. At 12 months, 8.9% and 15.3% of patients experienced MACE in the SGLT2i and no SGLT2i groups, respectively (adjusted Hazard Ratio [aHR] 0.65, 95% confidence interval [CI] 0.41-1.04). The primary safety outcome occurred in 12.0% of the SGLT2i group and 19.1% of the no SGLT2i group at 12 months (aHR 0.68, 95% CI 0.45-1.01). CONCLUSION Early initiation of SGLT2i use was not associated with a reduction in MACE in patients with T2DM who experienced ACS and underwent subsequent CABG surgery. However, no apparent safety concerns were identified. Adequately powered trials are required to confirm this finding.
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Affiliation(s)
- Lena Makortoff
- Pharmacy Services, Alberta Health Services, Calgary, Alberta, Canada
| | - Karen L Then
- Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
| | - Melissa Dutchak
- Pharmacy Services, Alberta Health Services, Calgary, Alberta, Canada
| | - Meng Lin
- Alberta SPOR SUPPORT Unit Data and Research Services, University of Alberta, Edmonton, Alberta, Canada
- Alberta Health Services Provincial Research Data Services, Edmonton, Alberta, Canada
| | - Erik Youngson
- Alberta SPOR SUPPORT Unit Data and Research Services, University of Alberta, Edmonton, Alberta, Canada
- Alberta Health Services Provincial Research Data Services, Edmonton, Alberta, Canada
| | - Cheryl Harten
- Pharmacy Services, Alberta Health Services, Calgary, Alberta, Canada
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Newman E, Kamanu C, Gibson G, Brailovsky Y. How to Optimize Goal-Directed Medical Therapy (GDMT) in Patients with Heart Failure. Curr Cardiol Rep 2024; 26:995-1003. [PMID: 39093374 PMCID: PMC11379751 DOI: 10.1007/s11886-024-02101-x] [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] [Accepted: 07/11/2024] [Indexed: 08/04/2024]
Abstract
PURPOSE OF REVIEW Heart failure is a clinical syndrome with signs and symptoms from underlying cardiac abnormality and evidence of pulmonary or systemic congestion on laboratory testing or other objective findings (Bozkurt et al. in Eur J Heart Fail 23:352-380, 2021). Heart failure with reduced ejection fraction (HFrEF), when heart failure is due to underlying reduction in ejection fraction to ≤ 40. The goal of this review is to briefly describe the mechanisms and benefits of the various pharmacological interventions described in the 2022 AHA/ACC/HFSA Guidelines focusing on Stage C: Symptomatic Heart Failure HFrEF, while providing basic guidance on safe use of these medications. RECENT FINDINGS Use of medications from each class as recommended in the 2022 Guidelines can provide significant morbidity and mortality benefits for our patients. Despite advances in therapeutics for patients with HFrEF, patients are frequently under treated and more research is needed to help optimize management of these complicated patients.
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Affiliation(s)
- Emily Newman
- Division of Cardiology, Thomas Jefferson University Hospital, 833 Chestnut Street, Suite 630, Philadelphia, PA, 19107, USA
| | - Chukwuemezie Kamanu
- Department of Medicine, Thomas Jefferson University Hospital, 833 Chestnut Street, Suite 630, Philadelphia, PA, 19107, USA
| | - Gregory Gibson
- Division of Cardiology, Thomas Jefferson University Hospital, 833 Chestnut Street, Suite 630, Philadelphia, PA, 19107, USA
| | - Yevgeniy Brailovsky
- Division of Cardiology, Thomas Jefferson University Hospital, 833 Chestnut Street, Suite 630, Philadelphia, PA, 19107, USA.
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Philip A, Dwivedi PSR, Shastry CS, Utagi B. Guideline directed medical therapy induced nephrotoxicity in HFrEF patients; an insight to its mechanism. J Biomol Struct Dyn 2024:1-15. [PMID: 38466079 DOI: 10.1080/07391102.2024.2326193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/27/2024] [Indexed: 03/12/2024]
Abstract
Guideline Directed Medical Therapy (GDMT) has been the standard pharmacotherapy for the treatment of Heart Failure patients with reduced Ejection Fraction (HFrEF) recommended by the European Society of Cardiology (ESC). However, patients on GDMT are likely to possess nephrotoxicity as an adverse effect. We utilized multiple system biology tools like ADVER-Pred, gene enrichment analysis, molecular docking, molecular dynamic simulations, and MMPBSA analysis to predict a possible molecular mechanism of how selected combinations of GDMT may cause nephrotoxicity. As per the ACC/AHA/ESC guidelines, we categorized the drugs as category 1 including β-blockers (BB), angiotensin receptor blockers (ARB), and sodium-glucose cotransporter-2 inhibitors (SGLT2I), category 2 includes BB's, SGLT2I, and angiotensin receptor-neprilysin inhibitors (ARNI), and category 3 includes BB's, SGLT2I, and angiotensin-converting enzyme (ACE) inhibitors. Enrichment analysis predicted category 2 drugs to possess the highest number of proteins to be involved in the development of nephrotoxicity i.e. 79.41%. The targets HBA1, CBR1, ATG5, and SLC6A3 were the top hub genes with an edge count of 7 followed by GPX1 with an edge count of 6. Molecular docking studies revealed candesartan-SLC6A3 to possess the highest binding affinity of -10.2 kcal/mol. In addition, simulation studies displayed empagliflozin-CBR1 to possess the highest stability followed by candesartan-ATG5. A combination of β-blockers, ARBs, and SGLT2I are predicted to likely possess nephrotoxicity which may be due to the modulation of HBA1, CBR1, ATG5, and GPX1. In conclusion, candesartan and empagliflozin are most likely to cause nephrotoxicity via the modulation of HBA1, CBR1, ATG5, and GPX1.
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Affiliation(s)
- Anu Philip
- Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India
| | - Prarambh S R Dwivedi
- Department of Pharmacology, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India
| | - C S Shastry
- Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences (NGSMIPS), Nitte (Deemed to be University), Mangalore, India
| | - Basavaraj Utagi
- Department of Cardiology, KS Hegde Medical Academy (KSHEMA), Nitte (Deemed to be University), Mangalore, India
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Sebastian SA, Co EL, Mahtani A, Padda I, Anam M, Mathew SS, Shahzadi A, Niazi M, Pawar S, Johal G. Heart Failure: Recent Advances and Breakthroughs. Dis Mon 2024; 70:101634. [PMID: 37704531 DOI: 10.1016/j.disamonth.2023.101634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Heart failure (HF) is a common clinical condition encountered in various healthcare settings with a vast socioeconomic impact. Recent advancements in pharmacotherapy have led to the evolution of novel therapeutic agents with a decrease in hospitalization and mortality rates in HF with reduced left ventricular ejection fraction (HFrEF). Lately, the introduction of artificial intelligence (AI) to construct decision-making models for the early detection of HF has played a vital role in optimizing cardiovascular disease outcomes. In this review, we examine the newer therapies and evidence behind goal-directed medical therapy (GDMT) for managing HF. We also explore the application of AI and machine learning (ML) in HF, including early diagnosis and risk stratification for HFrEF.
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Affiliation(s)
| | - Edzel Lorraine Co
- University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines
| | - Arun Mahtani
- Richmond University Medical Center/Mount Sinai, Staten Island, New York, USA
| | - Inderbir Padda
- Richmond University Medical Center/Mount Sinai, Staten Island, New York, USA
| | - Mahvish Anam
- Deccan College of Medical Sciences, Hyderabad, India
| | | | | | - Maha Niazi
- Royal Alexandra Hospital, Edmonton, Canada
| | | | - Gurpreet Johal
- Department of Cardiology, University of Washington, Valley Medical Center, Seattle, Washington, USA
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9
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Sarguroh T, Punjwani A. Management of Hypertensive Emergency in the Setting of Primary Aldosteronism Complicated by Heart Failure With Reduced Ejection Fraction. Cureus 2023; 15:e47545. [PMID: 38021907 PMCID: PMC10665137 DOI: 10.7759/cureus.47545] [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] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
We present a case of a 49-year-old man with a past medical history of uncontrolled hypertension and alcohol use disorder presently in sustained remission who presented to the ED with shortness of breath. He was admitted for the management of hypertensive emergency and hypokalemia and was later found to have primary aldosteronism complicated by heart failure with reduced ejection fraction. The patient's treatment-resistant hypertension as well as hypokalemia, which was refractory to repletion, resolved with mineralocorticoid-receptor-antagonist pharmacotherapy. After a single oral dose of spironolactone 25 mg, the patient's mean arterial pressure decreased by approximately 26.5%. Spironolactone 25 mg was continued twice daily not only as the mainstay treatment for primary aldosteronism but also to optimize guideline-directed medical therapy for the treatment of heart failure with reduced ejection fraction.
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Affiliation(s)
- Tauseef Sarguroh
- Internal Medicine/Nephrology, Franciscan Health, Olympia Fields, USA
| | - Aliziya Punjwani
- Internal Medicine, Midwestern University Chicago College of Osteopathic Medicine, Downers Grove, USA
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10
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Jain A, Arora S, Patel V, Raval M, Modi K, Arora N, Desai R, Bozorgnia B, Bonita R. Etiologies and Predictors of 30-Day Readmission in Heart Failure: An Updated Analysis. INTERNATIONAL JOURNAL OF HEART FAILURE 2023; 5:159-168. [PMID: 37554694 PMCID: PMC10406555 DOI: 10.36628/ijhf.2023.0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/16/2023] [Accepted: 05/13/2023] [Indexed: 08/10/2023]
Abstract
BACKGROUND AND OBJECTIVES Readmissions in heart failure (HF), historically reported as 20%, contribute to significant patient morbidity and high financial cost to the healthcare system. The changing population landscape and risk factor dynamics mandate periodic epidemiologic reassessment of HF readmissions. METHODS National Readmission Database (NRD, 2019) was used to identify HF-related hospitalizations and evaluated for demographic, admission characteristics, and comorbidity differences between patients readmitted vs. those not readmitted at 30-days. Causes of readmission and predictors of all-cause, HF-specific, and non-HF-related readmissions were analyzed. RESULTS Of 48,971 HF patients, the readmitted cohort was younger (mean 67.4 vs. 68.9 years, p≤0.001), had higher proportion of males (56.3% vs. 53.7%), lowest income quartiles (33.3% vs. 28.9%), Charlson comorbidity index (CCI) ≥3 (61.7% vs. 52.8%), resource utilization including large bed-size hospitalizations, Medicaid enrollees, mean length of stay (6.2 vs. 5.4 days), and disposition to other facilities (23.9% vs. 20%) than non-readmitted. Readmission (30-day) rate was 21.2% (10,370) with cardiovascular causes in 50.3% (HF being the most common: 39%), and non-cardiac in 49.7%. Independent predictors for readmission were male sex, lower socioeconomic status, nonelective admissions, atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, anemia, and CCI ≥3. HF-specific readmissions were significantly associated with prior coronary artery disease and Medicaid enrollment. CONCLUSIONS Our analysis revealed cardiac and noncardiac causes of readmission were equally common for 30-day readmissions in HF patients with HF itself being the most common etiology highlighting the importance of addressing the comorbidities, both cardiac and non-cardiac, to mitigate the risk of readmission.
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Affiliation(s)
- Akhil Jain
- Department of Internal Medicine, Mercy Fitzgerald Hospital, Darby, PA, USA
| | - Shilpkumar Arora
- Department of Interventional Cardiology, Houston Methodist Hospital, Houston, TX, USA
| | - Viral Patel
- Department of Internal Medicine, New York Presbyterian Hospital, Queens, NY, USA
| | - Maharshi Raval
- Department of Internal Medicine, Landmark Medical Center, Woonsocket, RI, USA
| | - Karnav Modi
- Division of Research, Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Nirav Arora
- Department of Data Science, Lamar University, Beaumont, TX, USA
| | - Rupak Desai
- Division of Cardiology. Atlanta VA Medical Center, Atlanta, GA, USA
| | - Behnam Bozorgnia
- Division of Cardiology, Einstein Medical Center, Philadelphia, PA, USA
| | - Raphael Bonita
- Division of Cardiology, Einstein Medical Center, Philadelphia, PA, USA
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11
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Dixit NM, Ziaeian B, Fonarow GC. SGLT2 Inhibitors in Heart Failure: Early Initiation to Achieve Rapid Clinical Benefits. Heart Fail Clin 2022; 18:587-596. [PMID: 36216488 DOI: 10.1016/j.hfc.2022.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Sodium-glucose cotransporter-2 inhibitors (SGLT2i) are a recent addition to the pillars of medical therapy for heart failure (HF) with reduced ejection fraction, all of which improve quality of life, morbidity, and mortality. These benefits are evident within the first 30 days of initiation. This review discusses the rationale for SGLT2i initiation in simultaneous or in rapid sequence with other guideline-directed medical therapy (GDMT). We also discuss SGLT2i use and early benefits in HF patients with an ejection fraction greater than 40%.
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Affiliation(s)
- Neal M Dixit
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. https://twitter.com/NealDixit
| | - Boback Ziaeian
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Division of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Division of Cardiology, Veteran Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA. https://twitter.com/boback
| | - Gregg C Fonarow
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Division of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
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12
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Rao VU, Bhasin A, Vargas J, Arun Kumar V. A multidisciplinary approach to heart failure care in the hospital: improving the patient journey. Hosp Pract (1995) 2022; 50:170-182. [PMID: 35658810 DOI: 10.1080/21548331.2022.2082776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Despite advancements in care for patients with heart failure (HF), morbidity and mortality remain high. Hospitalizations and readmissions for HF have been the focus of significant attention among health care providers and payers, with an eye towards reducing health care costs. However, considerable variability exists with regard to inpatient workflows and management for patients with HF, which represents a significant opportunity to improve care. Here we provide a summary of optimal inpatient management strategies for HF, focusing on the multidisciplinary team of emergency medicine providers, admitting hospitalists, cardiovascular consultants, pharmacists, nurses, and social workers. The patient journey serves as the template for this review article, from the initial presentation in the emergency department, to decongestion and stabilization, optimization of guideline-directed medical therapy, and discharge and appropriate disposition. Lastly, this review aims not to be proscriptive but rather to provide best practices that are clinically relevant and actionable, with the goal of improving care for patients during the sentinel hospitalization for HF.
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Affiliation(s)
- Vijay U Rao
- Indiana Heart Physicians,Franciscan Health, Indianapolis, IN, USA
| | - Atul Bhasin
- Department of Internal Medicine, CentraState Medical Center, Freehold, and Hackensack Meridian Health Hospice, Wall, NJ, USA
| | - Jesus Vargas
- University of Pennsylvania Medical Center Harrisburg Hospital, Harrisburg, PA, USA
| | - Vijaya Arun Kumar
- Department of Emergency Medicine, Wayne State University, School of Medicine, Detroit, MI, USA
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13
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Cluster Scheme Approach to Foundational Heart Failure With Reduced Ejection Fraction Therapy. J Nurse Pract 2022. [DOI: 10.1016/j.nurpra.2022.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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14
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Shah SP, Dixit NM, Mendoza K, Entabi R, Meymandi S, Balady-Bouziane N, Chan P. Integration of clinical pharmacists into a heart failure clinic within a safety-net hospital. J Am Pharm Assoc (2003) 2021; 62:575-579.e2. [PMID: 34896014 DOI: 10.1016/j.japh.2021.11.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Management of heart failure with reduced ejection fraction (HFrEF) requires timely initiation and up-titration of guideline-directed medical therapy (GDMT). In safety-net hospitals (SNHs), limited health care staff and resources make achievement of optimal medical therapy challenging. Recent studies have shown that medication titration performed by clinical pharmacists can improve outcomes in ambulatory management of HFrEF; however, the impact of these services within an SNH remains unknown. OBJECTIVE Determine the impact of integrating clinical pharmacists into a heart failure (HF) clinic on initiation and titration of GDMT within an SNH. METHODS We performed a single-center retrospective cohort study of patients with HFrEF treated in an ambulatory HF medication titration clinic within an SNH before and after clinical pharmacist integration. Primary outcomes included dose optimization rates of GDMT, time between clinic visits, and time to optimization of GDMT. Exploratory secondary outcomes were all-cause, HF, and cardiovascular acute care service utilization and all-cause, HF, and cardiovascular mortality before and after clinical pharmacist integration up to 6 months after initial clinic visit. RESULTS A total of 153 patients with HFrEF were treated. Baseline characteristics in the pre- and postintervention groups were comparable. After clinical pharmacist integration, there was a statistically significant improvement in optimization of renin-angiotensin-aldosterone system inhibitor or hydralazine-nitrate equivalent (82% vs. 94%, P = 0.02). Dose optimization rates of beta-blockers (90% vs. 83%, P = 0.22) and mineralocorticoid receptor antagonists (57% vs. 57%, P > 0.99) were unchanged. There was a statistically significant reduction in mean time between clinic visits (26 vs. 14 days, P < 0.001) and in mean time to optimization of GDMT (88 vs. 45 days, P = 0.002). All-cause mortality was reduced (13% vs. 2%, P = 0.01). CONCLUSION In SNHs, where limited health care staff and resources present as barriers to timely initiation and titration of GDMT, integration of clinical pharmacists into HF clinics can serve as a practical solution.
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