Heart Failure Hospitalization Research Articles

Relationship between chronic obstructive pulmonary disease and heart failure hospitalization in patients with atrial fibrillation: the Fushimi AF Registry

Abstract Background Chronic heart failure and chronic obstructive pulmonary disease (COPD) are both common diseases and often co-exist. Patients with COPD are at increased risk for hospitalizations due to cardiovascular diseases. However, in patients with atrial fibrillation (AF), the relationship between COPD and the risk of heart failure (HF) hospitalization remains unclear. Purpose The purpose of this study was to investigate the relationship between COPD and HF hospitalization in AF patients. Methods The Fushimi AF Registry, a community-based prospective survey, was designed to enroll all of the AF patients in Fushimi-ku, Japan. Fushimi-ku is densely populated with a total population of 283,000 and is assumed to represent a typical urban community in Japan. We started to enroll patients from March 2011, and follow-up data were available for 4,496 patients by the end of February 2022. We compared patients with and without COPD with regard to clinical background and HF hospitalization during follow-up period. Results In this cohort, the proportion of pre-existing HF among patients with COPD was 30.1%, and the proportion of COPD among patients with pre-existing HF was 5.9%. Of 4,496 patients, 238 (5.3%) patients had COPD (COPD; the mean age 75.6 years, female 20.6%), and the remaining 4,258 patients did not (Non-COPD; the mean age 73.5 years, female 41.6%). Patients with COPD were older than those without COPD. However, the proportions of patients with pre-existing HF, previous stroke, vascular disease, cardiomyopathy, coronary artery disease (CAD), diuretic use, renal dysfunction, diabetes mellitus (DM) and hypertension were comparable. During the median follow-up period of 1,824 days, the incidence of HF hospitalization was significantly higher in COPD than in Non-COPD (COPD vs. Non-COPD; 4.85% vs. 3.01% per person-year: p<0.01). In multivariate analysis adjusted by sex, age (≥ 75 years), heart disease (combined by heart failure, vascular disease, cardiomyopathy and CAD), renal dysfunction, DM, hypertension and diuretic use, COPD was an independent risk factor for HF hospitalization (hazard ratio (HR) 1.54, 95% confidence interval (CI) 1.15-2.07, P<0.01) (Figure 1). When we analyzed patients without pre-existing HF, the incidence of HF hospitalization was also significantly higher in COPD than in Non-COPD (COPD vs. Non-COPD; 2.87% vs. 1.75% per person-year: p=0.02). In multivariate analysis after adjusting for the same factors, COPD was an independent risk factor for HF hospitalization (HR 1.63, 95% CI 1.05-2.53, P=0.03) (Figure 2). Conclusion In patients with AF, COPD was the risk of HF hospitalization. The results were consistent in AF patients without pre-existing HF.

Impact of diabetes on vascular endothelial growth factor D and cardiovascular mortality in patients with suspected or known coronary artery disease: the ANOX study

Abstract Background Vascular endothelial growth factor D (VEGF-D) is a secreted glycoprotein that can induce lymphangiogenesis and angiogenesis. We recently demonstrated that serum levels of VEGF-D are independently associated with all-cause mortality in patients with suspected or known coronary artery disease (CAD). However, the impact of diabetes mellitus (DM) on the association between VEGF-D and cardiovascular (CV) mortality in those patients is unclear. Methods Serum VEGF-D levels were measured in 2418 patients with suspected or known CAD undergoing elective coronary angiography. The primary outcome was CV death. The secondary outcomes were all-cause death, major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke, and heart failure (HF) hospitalization. Patients were divided into 2 groups according to the presence (DM, n=1087) or absence (non-DM, n=1331) of DM, and followed up over a 6-year period. Results During the follow-up, 166 (81 DM and 85 non-DM) patients died from CV disease, 536 (284 DM and 252 non-DM) patients died from any cause, 297 (156 DM and 141 non-DM) patients developed MACE, and 268 (131 DM and 137 non-DM) patients developed HF hospitalization. After adjustment for potential clinical confounders and established CV biomarkers (i.e., N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin I, and high-sensitivity C-reactive protein), VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.20; 95% confidence interval [CI], 1.08–1.33) and HF hospitalization (HR, 1.23; 95% CI, 1.08–1.40), but not with CV death (HR, 1.18; 95% CI, 0.98–1.43) or MACE (HR, 1.11; 95% CI, 0.96–1.28), in DM patients, while VEGF-D levels were significantly associated with CV death (HR, 1.24; 95% CI, 1.08–1.43) and MACE (HR, 1.16; 95% CI, 1.03–1.32), but not with all-cause death (HR, 1.10; 95% CI, 0.99–1.22) or HF hospitalization (HR, 1.13; 95% CI, 0.99–1.28), in non-DM patients. The addition of VEGF-D levels to the model with potential clinical confounders and established CV biomarkers did not improve the prediction of CV death (P=0.92 for continuous net reclassification improvement [NRI], P= 0.32 for integrated discrimination improvement [IDI]), all-cause death (P=0.098 for NRI, P=0.12 for IDI), MACE (P=0.80 for NRI, P=0.53 for IDI) or HF hospitalization (P=0.96 for NRI, P=0.39 for IDI) in DM patients, whereas the addition of VEGF-D levels significantly improved the prediction of CV death (P=0.002 for NRI, P=0.03 for IDI) and all-cause death (P<0.001 for NRI, P=0.02 for IDI), but not that of MACE (P=0.11 for NRI, P= 0.09 for IDI) or HF hospitalization (P=0.89 for NRI, P=0.83 for IDI), in non-DM patients. Conclusions In patients with suspected or known CAD, the VEGF-D level independently predicted CV mortality in non-DM, but not in DM patients. The association between VEGF-D and CV mortality was attenuated in the presence of DM.

A U-shaped relationship between LVEF and the risk of heart failure hospitalization: a large hospital-based cohort study

Abstract Background Left ventricular ejection fraction (LVEF) is a frequently used metric for quantifying left ventricular function. Previous studies found a U-shaped relationship between LVEF and long-term survival. However, the association between the spectrum of LVEF and heart failure (HF) hospitalization remains unclear. Purpose We aim to investigate the distribution of HF hospitalizations across the spectrum of LVEF using a large hospital-based cohort. Methods Consecutive participants who underwent echocardiography (2002-2021) in a tertiary medical center in Taiwan were included. LVEF was measured by echocardiography using biplane Simpson’s method and was categorized into intervals of 5% from <20% to ≥70%. The study outcome was HF hospitalization by linking to the National Health Insurance Registry Database. Cox proportional hazards regression was used for analyses with adjustment for age, sex, hypertension, diabetes, hyperlipidemia, coronary artery disease, and history of HF. We used restricted cubic splines to demonstrate the distribution of HF hospitalizations across the spectrum of LVEF. Results 94,762 participants (age 59.7 ± 18.1, men 51.4%) were included. Adjusted hazard ratios (HR) for HF hospitalizations showed a U-shaped relationship between LVEF and the risk of incident HF hospitalization with a nadir of risk at LVEF of 60-70%. (Figure) Compared with the reference group (LVEF: 60-65%), subjects with LVEF> 70% had an HR of 1.49 (95% confidence interval [CI]: 1.21-1.84), and those with LVEF of 50-55% had an HR of 1.93 (95% CI: 1.68-2.22). Similar results with a nadir at 60-70% could be observed irrespective of different age groups defined by the World Health Organization (WHO), sex, with or without hypertension or diabetes. Conclusions A U-shaped relationship between LVEF and the risk of incident HF hospitalization can be observed, with a nadir at LVEF of 60-70%. LVEF ≥ 70% may be defined as supranormal LVEF that necessitates further HF treatment.Figure

Effect of renin-angiotensin system inhibitors in elderly patients with heart failure and reduced ejection fraction

Abstract Background More than half of the patients admitted for acute decompensated heart failure (ADHF) in Japan are over 80 years of age. Both Japanese and European heart failure guidelines recommend the use of renin-angiotensin system inhibitors (RASIs) in patients with heart failure with reduced ejection fraction (HFrEF). However, there is a paucity of data on the effect of RASIs in elderly patients with HFrEF, because elderly patients have been excluded from large clinical trials. Purpose The purpose of the current study was to clarify the effect of RASIs in elderly patients with HFrEF. Methods This was a post-hoc analysis of a prospective, observational, multicentre cohort study that enrolled consecutive patients admitted with ADHF to 19 secondary and tertiary hospitals in Japan between October 2014 and March 2016. Patients who were ≥ 80 years old, with left ventricular ejection fraction (LVEF) < 40% and discharged alive were included in the present study. RASIs were defined as either ACE inhibitors or angiotensin II receptor blockers. The primary endpoint was a composite of all-cause death and heart failure (HF) hospitalisation. Results Among 518 patients enrolled, 288 patients received RASIs at discharge and 230 patients did not. The median follow-up period was 335 days (interquartile range; 124 – 499 days). Patients receiving RASIs were younger (85.7 ± 4.4 vs. 86.5 ± 4.4 years of age, p=0.03), had a higher body mass index (BMI; 21.4 ± 3.3 vs. 20.6 ± 3.7 kg/m², p=0.01) and better renal function (eGFR; 45.4 ± 21.5 vs. 38.2 ± 19.2 ml/min/1.73m², p<0.001). Patients receiving RASIs had a higher LVEF (30.9 ± 6.3 vs. 28.5 ± 7.1%, p<0.001). The use of beta-blockers at discharge was more prevalent in patients receiving RASIs (77.8% vs. 60.4%, p<0.001), but the use of mineralocorticoid receptor antagonists was not (50.0% vs. 42.2%, p=0.08). The cumulative incidence of all-cause death or HF hospitalisation one year after discharge was significantly lower in patients receiving RASIs (40.1% vs. 59.5%, p<0.001). Even after adjusting for confounders, the risk of a composite of all-cause death and HF hospitalisation was significantly lower in patients receiving RASIs (adjusted hazard ratio 0.59, 95% confidence interval 0.45-0.77, p<0.001). There was no interaction between the effect of RASIs and subgroup factors such as age, BMI, dementia, malignancy, frailty, and renal function. Conclusion Use of RASIs at discharge was associated with lower incidence of all-cause death or HF hospitalisation in elderly patients with HFrEF.

Impact of a clinician-to-clinician electronic consultation program in heart failure patients with previous hospitalization. Implications for heart failure multidisciplinary management

Abstract Background A clinician-to-clinician electronic consultation (e-consultation) programme may not only improve the accessibility to care but may also impact patient outcomes, particularly in heart failure (HF) patients with a previous episode of hospitalization (HFH), group of patients associated with a worse outcome. Purpose To evaluate the impact of an outpatient care management programme that includes a clinician-to-clinician e-consultation on delay time in care, hospital admissions, and mortality in a high-risk group of patients with heart failure (HF) and previous episodes of HF hospitalization (HFH). Materials and methods We selected 6444 HF patients who visited the cardiology service at least once between 2010 and 2021. Of these, 4146 were attended in e-consultation, and 2230 had previous HFH (Fig 1a). Using an interrupted time series regression model, we analysed the impact of incorporating e-consultation into the healthcare model in the group of patients with HFH and evaluated the elapsed time to cardiology care, HF, cardiovascular (CV), and all-cause hospital admissions and mortality, calculating the incidence relative risk (iRR). We performed a multivariate logistic regression for each of these outcomes in both groups. Results Patients with HFH had a higher prevalence of men (P < 0.001) but had a similar age (P = 0.267) compared to patients without HFH. Patients with HFH had a higher prevalence of diabetes (P < 0.001), ischaemic heart disease (P = 0.036), and peripheral arterial disease (P = 0.008) (Fig 1b). In the group of patients with HFH, the introduction of e-consult substantially decreased waiting times to cardiology care (8.6 [8.7] vs. 55.4 [79.9] days, P < 0.001) (Fig 2a). In that group of patients, after e-consult implantation, hospital admissions for HF were reduced (iRR [95%CI]: 0.837 [0.840–0.833]), 0.900 [0.862–0.949] for CV and 0.699 [0.678–0.726] for all-cause hospitalizations (Fig 2b). There was also lower mortality (iRR [95%CI]: 0.715 [0.657–0.798] due to HF, 0.737 [0.764–0.706] for CV and 0.687 [0.652–0.718] for all-cause) (Fig 2c). The improved outcomes after e-consultation implementation were significantly higher in the group of patients with previous HFH. The multivariate analyses showed a higher risk of hospitalizations in men, patients with HFH, and those who required more emergency department assistance (Fig 2d). Conclusions In patients with HFH, an outpatient care programme that includes an e-consultation significantly reduced waiting times to cardiology care and was safe, with a lower rate of hospital admissions and mortality in the first year. Our results may have implications for optimize the heart failure care organization.Figure 1Figure 2

Prognostic determinants in patients with heart failure with reduced ejection fraction after a first hospitalisation for acute heart failure. COMFE registry

Abstract Introduction The clinical characteristics and determinants for prognosis of patients with a first hospitalisation for heart failure (HF) with reduced left ventricular ejection fraction (LVEF <40%) are poor described and show heterogeneous results that need major investigation. Purpose The aim of our study was to identify the clinical characteristics, prognosis and their main determinants in a prospective registry of patients with HF and reduced LVEF with a first hospital admission for acute heart failure, prognosis and their main determinants in a prospective registry in these patients. Methods We carried out a prospective registry in 2 University Hospitals of patients admitted to cardiology department due to first-time HF hospitalisation with reduced LVEF. 231 admitted consecutively between March 2021 and September 2022 were included, with a mean follow-up of 381 days. Continuous variables were represented as median (interquartile range) and categorical variables as percentage %. A multivariate logistic regression was performed in which age, sex, comorbidities, treatment, rhythm at discharge and improvement in LVEF were included; and using the Wald method, the predictors of rehospitalization and/or death were identified. Data were analysed using SPSS v. 25.0. Results The main baseline characteristics are shown in Table 1. The population had a median age of 71 years, 75% were men, with a high prevalence of arterial hypertension (HBP) (69%) and hyperlipidemia (57%). Quadruple therapy (Na-Glucose cotransporter 2 inhibitor [SGLT2i], Beta-Blocker, mineralocorticoid receptor antagonist [MRA] and angiotensin receptor-neprilysin inhibitor [ARNI], angiotensin converting enzyme inhibitor [ACEi] or Angiotensin-II receptor blocker [ARB]) was achieved in 57% at discharge. The dynamics of NTproBNP was studied from admission to completed up-titration, observing an average reduction of 37% and 32% met the criteria for improved LVEF after. The etiology is described in Figure 1a, with ischemic heart disease being the most represented (31%). Multivariate Cox regression for the combined event of readmission/death from any cause showed that treatment with SGLT2i (OR 0,48 [CI 95%: 0,23-0,98 p:0,04]) and Beta-Blocker (OR 0,35 [CI 95%: 0,14-0,87 p:0,02]) at discharge and improved LVEF (OR 0,33 [CI 95%: 0,15-0,72 p:0,006]) were protective predictors against the event; but diabetes mellitus (DM) was a predictor of a worse prognosis (OR 2,9 [CI 95%: 1,52-5,5 p:0,001]) Fig. 1b. Conclusions Patients with a first admission for HF with reduced LVEF constitute a heterogeneous clinical group. Improvement in LVEF after drug up-titration and treatment with SGLT2i and Beta-blocker are independently associated with a better prognosis. Our findings may have implications for their clinical management.Table 1Figure 1

Machine learning for prediction of incident heart failure and heart failure hospitalisation: multi-cohort development, validation and association with clinical phenotypes

Abstract Background Delayed heart failure (HF) diagnosis is associated with adverse outcomes and costs of hospitalisation.(1,2) Whilst previous tools have been developed to predict incident HF,(3) risk of HF incidence may correlate poorly with risk of HF hospitalisation, which may be more important in targeting diagnostics. Purpose To develop and validate a novel decision support tool for prediction of incident HF and HF hospitalisation, and investigate association of score with HF with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). Methods We developed the models (FIND-HF) in UK primary care health record data from individuals aged ≥40 years without known HF (Jan 2, 1998 to Feb 28, 2022), randomly divided into training (80%) and testing (20%) datasets. We evaluated logistic regression and supervised machine learning models for prediction of 1- and 5- year HF and HF hospitalisation risk in the testing dataset with internal bootstrap validation. Models were externally validated for HF hospitalisation in data from a Taiwanese university hospital. Association of FIND-HF score with HF phenotypes of HFpEF and HFrEF was assessed in two prospective cohorts, the MATCH registry of patients diagnosed with HFrEF and the FIND-AF cohort of individuals at higher predicted risk of atrial fibrillation who underwent echocardiography. Results Of 565 284 UK individuals (mean age 68.9 (SD 12.2) years, 49.2% women), incidence of HF and HF hospitalisation was 1.1% and 0.5% at 1-year, and 6.6% and 3.4% at 5-years, respectively. Prediction performance was superior for machine learning algorithms compared with logistic regression, with best performance for XGBoost (area under receiver operating characteristic curve (AUROC) at 1 and 5-years: 0.755 and 0.723 for incident HF, and 0.738 and 0.711 for incident HF hospitalization). On external validation in 106,026 individuals in Taiwan (mean age 64.7 (SD 10.6) years, 52.8 % women), HF hospitalisation incidence was 0.71%, and 2.46% at 1- and 5- years, respectively, and discrimination performance was excellent (AUROC at 1- and 5-years: 0.834 and 0.843). When the FIND-HF score was applied to individuals in the MATCH cohort (n = 133, mean age 69.0 (SD 11.7) years, 38.3% women) and FIND-AF cohort (n = 82, mean age 71.6 (SD 7.5) years, 50.0% women), the distribution of score to clinical phenotypes demonstrated a binomial distribution (Figure 1), and likelihood of HFpEF diagnosis correlated with the numeric score (Figure 2). Conclusions The machine learning FIND-HF decision support tool can accurately identify individuals at risk of incident HF and HF hospitalisation, to enable new approaches for early detection and prevention. The variation of score amongst high risk individuals with different HF clinical phenotypes emphasizes the distinct pathophysiological pathways but shared adverse outcome profile across the HF syndrome.Figure 1Figure 2

Heart failure risk assessment using biomarkers in patients with atrial fibrillation: analysis of 32,041 patients from the COMBINE-AF study

Abstract Introduction Heart failure (HF) is one of the most common comorbidities in patients with AF, resulting in a clinical need for robust risk assessment. Purpose To investigate the incremental value of adding NTproBNP, high-sensitivity cardiac troponin T (hs-cTnT), and growth-differentiation factor-15 (GDF-15) to clinical predictors for HF risk stratification in patients with AF, and the individual contribution of each biomarker accounting for inter-biomarker correlation. Methods We used pooled individual patient data from 3 large RCTs investigating DOACs versus VKAs (ARISTOTLE, ENGAGE AF-TIMI 48, RE-LY) from the COMBINE-AF cohort and included all patients with available biomarkers at baseline. The composite primary endpoint was hospitalization for HF (HHF) or CV death (CVD), with HHF as secondary endpoint. We employed analyses of absolute risk and Cox-regression adjusting for clinical factors to assess the association of the individual biomarkers with both endpoints, testing incremental discrimination with the likelihood ratio test from nested models. To address the inter-biomarker correlation, weighted quantile sum (WQS) regression analysis summarizing the adjusted risk of all biomarkers (per quartile) in one index was applied, thereby exploring the individual and additive contribution of each biomarker to risk assessment. Results Data were available in 32,041 patients (median age 71 [IQR 64-77] years, 36.7% female, 23.0% with paroxysmal AF, 41.6% with established HF). Higher biomarker values were associated with a graded increase in absolute risk for HHF/CVD and HHF (Figure 1). In a model adjusting for clinical variables and all biomarkers, hs-cTnT (HR per 1-SD 1.39 [95% CI 1.33-1.44]), NT-proBNP (HR 1.67 [95% CI 1.58-1.76]), and GDF-15 (HR 1.20 [95% CI 1.15-1.25]) were associated with HHF/CVD. The c-index increased with addition of biomarkers (0.70 [0.69, 0.70] to 0.77 [0.76, 0.78]; Likelihood ratio test p<0.001). Results were similar for HHF alone. NTproBNP was significantly correlated with hs-cTnT (r=0.40, p<0.0001) and GDF-15 (r=0.36, p<0.001). To address this correlation, WQS regression analysis was conducted (Figure 2). NTproBNP and hs-cTnT contributed nearly equally to the risk assessment for HHF/CVD and HHF, with GDF-15 providing statistically significant but less contribution to risk assessment (Figure 2). Conclusion Hs-cTnT, NT-proBNP and GDF-15 contribute individually and additively to the risk assessment for HHF/CVD and HHF in patients with AF. Our analysis suggests that hs-cTnT is as important as NTproBNP for HF risk assessment, with significant but less contribution of GDF-15. Our findings support the possible future routine use of biomarkers to distinguish patients with AF at low or high risk for HF and could guide the introduction of therapies to mitigate the risk of HF events in this growing population.Event incidence by biomarker quartilesWeighted quantil sum regression analysis

Clinical and financial implications of inpatient and outpatient management strategies for worsening heart failure

Abstract Introduction Hospitalizations for worsening heart failure (HF) represent an enormous public health and financial burden. Accordingly, select centers have developed outpatient worsening HF (WHF) management strategies focused on care in emergency departments (ED), observation units, or intravenous (IV) diuretic clinics. However, broad use of these outpatient strategies and the associated outcomes and healthcare costs remain unclear. Methods Among US Medicare beneficiaries age ≥65 years hospitalized for HF in the Get With The Guidelines Heart Failure registry 2010-2018, we identified patients with a post-discharge non-fatal WHF event. Patients were divided into 4 mutually exclusive groups defined by type of first post-discharge WHF event (HF hospitalization, ED visit with ED discharge, observation unit stay, and outpatient clinic visit with IV diuretics). Following each type of WHF event, mortality, home-time (days alive and out of any healthcare institution), and healthcare costs were compared over the subsequent 12-months. Costs of the initial WHF management strategy were also assessed. Results Among 181,827 patients hospitalized for HF, during the 12-months post-discharge, 83,971 (46.2%) survived with no WHF event, 36,697 (20.2%) died prior to a WHF event, and 61,159 (33.6%) had a WHF event. Of patients with a WHF event, 48,612 were managed with HF hospitalization (79.5%), 8,139 (13.3%) with an ED visit, 1,767 (2.9%) with an observation unit stay, and 2,641 (4.3%) with an outpatient IV diuretic visit. Compared with HF hospitalization, patients with WHF managed in the ED, observation unit, or IV diuretic clinic experienced lower subsequent mortality (Figure 1). Mean 12-month home-time was lowest following HF hospitalization (207 ± 144 days), intermediate following ED (238 ±136 days) and outpatient IV diuretic visits (252 ±128 days), and highest following observation unit stays (277 ± 125 days). For the initial WHF event, median (25th, 75th) total per-patient costs were highest for HF hospitalization and lowest for outpatient IV diuretic visits (Figure 2). Over the 12-months following the WHF event, median total per-patient costs were highest following outpatient IV diuretic visits, intermediate following HF hospitalization and ED stays, and lowest following observation unit stays. Conclusions In a nationwide analysis of older US adults, 1 in 5 episodes of recurrent WHF were exclusively managed as an outpatient within the ED, observation unit, or IV diuretic clinic. High rates of death and substantial reductions in home-time occurred following WHF regardless of inpatient or outpatient management, but were worse following HF hospitalization. Outpatient IV diuretic administration was the least expensive initial management strategy, but was associated with the highest per-patient costs over the subsequent 12 months.

Bidirectional relationship between kidney disease progression and cardiovascular events in type 2 diabetes: new Insights from the CANVAS Program and CREDENCE trial

Abstract Background The extent to which chronic kidney disease (CKD) progression increases cardiovascular risk, and whether different types of cardiovascular events affect risk of CKD progression, is incompletely understood. Purpose We sought to explore risk of cardiovascular events before and after CKD progression, and CKD progression before and after different cardiovascular events in patients with type 2 diabetes. Methods We conducted a pooled individual participant data analysis of the CANVAS Program and CREDENCE trial. Using Poisson regression, we assessed the incidence of major adverse cardiovascular events ([MACE] stroke, myocardial infarction, or cardiovascular death) and hospitalised heart failure (HHF) or cardiovascular death before and after CKD progression (defined as 40% decline in estimated glomerular filtration rate [eGFR] or kidney failure), and CKD progression before and after nonfatal cardiovascular events, with no adjustment for confounding related to subgroups defined by post-randomization variables. We estimated the cumulative incidence of all-cause mortality after different nonfatal cardiovascular and kidney outcomes, including different thresholds of CKD progression (kidney failure, 40% or 50% decline in eGFR or doubling of serum creatine) using Cox regression models. Results Among 14,464 participants (mean age 63.7 years, 35.3% female, mean eGFR 55mL/min/1.73m2 and median urinary albumin:creatinine ratio 34mg/g) over a median follow-up of 2.5 years, 1,482, 1,076 and 1,020 experienced MACE, HHF or cardiovascular death, and CKD progression, respectively. After (vs. before) CKD progression, there was an approximate 3-fold increase in incidence of MACE (30.2 vs. 93.8 per 1000-patient-years) and 4-fold increase in HHF or cardiovascular death (21.0 vs. 79.3 per 1000-patient-years). Conversely, the incidence of CKD progression was approximately 1.5-fold higher after (vs. before) nonfatal myocardial infarction or stroke (21.7 vs. 34.1 per 1000-patient-years) and 5-fold higher after HHF (21.2 vs. 108.2 per 1000-patient-years). These patterns were consistent in both treatment arms, with unadjusted incidence rates for clinical events appearing numerically lower in canagliflozin compared to placebo-treated participants (Figure 1). Of all non-fatal cardio-kidney outcomes, HHF and doubling of serum creatine or kidney failure conferred the highest risk of death (Figure 2). Conclusion Atherosclerotic and heart failure risk increases substantially after CKD progression. CKD progression was accelerated after cardiovascular events, particularly HHF. Treatment with canagliflozin was associated with lower event rates before and after a serious cardio-kidney outcome, suggesting continued use of canagliflozin may be beneficial even after cardiovascular events and CKD progression.Figure 1.Figure 2.

Impact of dapagliflozin on cardiometabolic outcomes after myocardial infarction according to baseline left ventricular ejection fraction: a DAPA-MI substudy

Abstract Background Dapagliflozin improved cardiometabolic outcomes compared with placebo following acute myocardial infarction (MI) in participants without prior diabetes mellitus (DM) or chronic heart failure (HF) in the DAPA-MI trial. Purpose Cardiometabolic outcomes were assessed in the DAPA-MI trial according to left ventricular ejection fraction (EF) at randomisation. Methods Participants were categorised according to whether baseline EF was ≥50 or <50%. Those without a baseline EF result and those who did not receive a dose of study drug were excluded. The primary objective was to determine the clinical effect of dapagliflozin 10 mg versus placebo assessed using a hierarchical composite outcome and analysed by the win ratio method. The primary outcome was the hierarchical composite, by order of perceived clinical importance, of death, hospitalization for HF (HHF), nonfatal MI, atrial fibrillation/flutter event, new diagnosis of type 2 DM, NYHA functional class at the last trial visit, and body weight decrease of ≥5% from baseline to the last trial visit. Time to first event of NYHA class II-IV or HHF and time to first event of NYHA class III-IV or HHF were assessed as endpoints of special interest. Hazard ratios (HR) with 95% confidence intervals (CI) were determined using Cox proportional hazards models. The main subgroup variable (baseline EF ≥50 or <50) and its interaction with treatment (P int) were included. Results 838 participants had EF≥50 and 2913 had EF<50 at baseline. The primary hierarchical composite outcome resulted in a win ratio for those with EF≥50 of 1.32 (CI 1.00-1.73) and 1.38 for those with EF<50 (CI 1.21-1.57; P int 0.8) (Figures). There were no significant interactions by EF for any of the secondary outcomes. In those with EF<50, a first event of NYHA class II-IV or HHF occurred in 435 (29.4%) participants in the dapagliflozin group and 485 (33.8%) in the placebo group (absolute risk difference [ARD] 4.4%; HR 0.83, CI 0.73-0.94, P<0.01). In those with EF≥50, this occurred in 81 (19.7%) and 93 (21.8%), respectively (ARD 2.1%; HR 0.96, CI 0.65-1.41, P=0.7; P int 0.47). In those with EF<50, a first event of NYHA class III-IV or HHF occurred in 77 (5.2%) in the dapagliflozin and 115 (8.0%) in the placebo groups (ARD 2.2%; HR 0.64, CI 0.48-0.85, P<0.01). In those with EF≥50, this occurred in 14 (3.4%) and 19 (4.4%), respectively (ARD 1.0%; HR 0.80, CI 0.40-1.60, P=0.5; P int 0.55). There was no significant effect of dapagliflozin on death/MI/stroke in either subgroup (EF<50: HR 0.96, CI 0.65-1.41; EF≥50: HR 0.83, CI 0.38-1.84; P int 0.75). Dapagliflozin increased the incidence of 5% weight loss in both of the EF subgroups with no significant interaction. Conclusions Dapagliflozin resulted in significant benefit in cardiometabolic outcomes compared with placebo regardless of baseline EF. The absolute reduction in HF symptoms or HHF with dapagliflozin, compared with placebo, was greatest in those with baseline EF<50.Figures

Long-term outcomes in patients with dual pathology aortic stenosis and cardiac amyloidosis referred for valve intervention

Abstract Background The coexistence of aortic stenosis (AS) and cardiac amyloidosis (CA) is common. If treated with transcatheter aortic valve implantation (TAVI), patients with the combined phenotype (AS-CA) have a comparable short term survival to those with lone AS, whereas data on longer term outcomes is currently lacking. Purpose This study aimed to evaluate the clinical outcomes of AS-CA compared to lone AS over a 5-year follow-up. Methods Using a prospective, multicentre, observational, case-control design, we screened consecutive patients with severe AS referred for TAVI for co-existing CA. CA screening included blinded 99mTc-DPD bone scintigraphy (Perugini Grade-0 negative, 1-3 increasingly positive) with additional SPECT/CT and light chain assessment prior to intervention. Transthyretin CA (ATTR) was diagnosed by bone scintigraphy and unremarkable light chain assessment, light-chain CA (AL) by endomyocardial biopsy. Mortality (all-cause and cardiovascular [CV]) and hospitalisation for heart failure (HHF) were captured as clinical endpoints. Results 376 patients (83±7 years, 52% female, EuroSCORE-II 4.9±2.9) were recruited, of which 43 (11.4%) had AS-CA (42 ATTR, 1 AL). Compared to lone AS, patients with AS-CA were older with higher cardiac biomarkers (NT-proBNP, high-sensitive Troponin-T) and a higher prevalence of atrial fibrillation. Heart team decision yielded valve replacement in 320 (85%) and conservative management in 56 (15%) patients, without differences between AS-CA and lone AS. Over a median follow-up of 5.4 (Q1: 4.9; Q3: 5.7) years, 230 (61.1%) patients died and 67 (17.8%) experienced HHF (with a total HHF number of 91). AS-CA was associated with higher all-cause mortality (crude HR 1.64, 95%CI 1.15-2.35; log-rank, p=0.006), which remained significant after multivariate adjustment for clinical confounders (EuroSCORE-II, valve replacement; adjusted HR 1.63, 95%CI 1.15-2.32; p=0.006). AS-CA was not associated with CV mortality (log-rank, p=0.18) or time to first HHF (log-rank, p=0.43), but the rate of HHF was significantly higher in AS-CA compared to lone AS (5.7 versus 3.5 per 1,000 patient years, p=0.022). Conclusions Among elderly patients referred for TAVI, long-term outcomes of AS-CA are characterized by higher mortality and a higher rate of heart failure hospitalisations compared to patients with lone AS. Studies evaluating the role of CA-specific treatments are warranted in this population.

The prognostic interplay of heart failure and chronic kidney disease in atrial fibrillation, focus on cardiorenal outcomes

Abstract Background Heart failure (HF) and chronic kidney disease (CKD) create a mutually reinforcing cycle, escalating disease development, and increasing morbidity and mortality rates. Both are common comorbidities promoting atrial fibrillation (AF) and contributing to heightened symptom burden and poorer outcomes in AF. Purpose To investigate the relationship of HF and CKD with cardiorenal outcomes in patients with AF. Methods For this analysis we included patients with known AF, treated at a tertiary centre between 01/2005 and 07/2019. The primary endpoint was a composite of cardiovascular (CV) death and hospitalization for HF (HHF). Secondary outcomes were renal death and dialysis. The multivariate model has been adjusted for age, sex, body mass index, HF, diabetes mellitus, CKD, coronary artery disease, previous myocardial infarction, and C-reactive protein. Results We included in total 7412 patients (median age 70 years, 39.7% female) with AF and followed them over a median of 4.5 years. A total of 1668 patients (22.5%) were diagnosed with HF, 806 (10.9%) with CKD and 372 (5.0%) were suffering from both conditions. Both CKD (adjusted HR 1.87, 95% CI 1.55-2.25) and HF (adjusted HR 2.57, 95% CI 2.22-2.98) were significantly associated with the composite of CV death/ HHF after multivariable adjustment. There was a significant stepwise increase in 5-year’s event rates of CV death/ HHF (no CKD & no HF: 23%, HF: 61%, CKD: 63%, CKD & HF: 82%; P-logrank <0.001). These results remained significant in the multivariate analysis, showing the highest increase in risk in patients with both HF and CKD with an adjusted HR of 3.96 (95% CI 3.34-4.68), followed by patients with only HF (adjusted HR 2.53, 95% CI 2.26 to 2.84) and only CKD (adjusted HR 2.22, 95% CI 1.87-2.63, p-value of <0.001, respectively). Regarding renal death/ dialysis we could observe a similar distribution of the 5-year’s event rates (no CKD & no HF: 1.5%, HF: 4.0%, CKD: 11.8%, CKD & HF: 17.7%; P-logrank <0.001). Both conditions, CKD and HF, remained independently associated with the combined endpoint of renal death/ dialysis after multivariable adjustment (only HF: adjusted HR of 2.80, 95% CI 1.84 to 4.25; only CKD: adjusted HR of 5.31, 95% CI 3.22 to 8.76; CKD & HF: adjusted HR of 7.47, 95% CI 4.70 to 11.87; Figure 1). Conclusions Both CKD and HF significantly increase the risk of CV death and HHF, as well as renal death and dialysis in patients with AF. Risk assessment should expand beyond stroke and bleeding to cardiorenal complications including HHF, CV and renal death, as well as kidney failure in an unselected AF patient population.

Echocardiographic predictors of cardiovascular outcome in heart failure with preserved ejection fraction

Abstract Background The optimal echocardiographic predictors of cardiovascular outcome in heart failure with presereved ejection fraction (HFpEF) are unknown. Purpose We aimed to identify independent echocardiographic predictors of cardiovascular outcome in patients with HFpEF. Methods Systematic literature search of three electronic databases was conducted from date of inception until November 2022. Hazard ratios (HRs) and their 95% confidence intervals (CIs) for echocardiographic variables from multivariate prediction models for the composite primary endpoint of cardiovascular death and heart failure (HF) hospitalization were pooled using a random effects meta-analysis. Specific subgroup analyses were conducted for studies that enrolled patients with acute versus chronic HF, and for those studies that included E/e’, pulmonary artery systolic pressure (PASP), renal function, natriuretic peptides and diuretic use in multivariate models. Results Forty-six studies totalling 20,056 patients with HFpEF were included. Three echocardiographic parameters emerged as independent predictors in all subgroup analyses: Decreased left ventricular (LV) global longitudinal strain (HR 1.24, 95% CI 1.10-1.39 per 5% decrease), decreased left atrial (LA) reservoir strain (HR 1.30, 95% CI 1.13-1.1.50 per 5% decrease) and lower tricuspid annular plane systolic excursion (TAPSE) to PASP ratio (HR 1.17, 95% CI 1.07-1.25) per 0.1 unit decrease). Other independent echocardiographic predictors of the primary endpoint were a higher E/e’, moderate to severe tricuspid regurgitation, LV mass index and LA ejection fraction, although these variables were less robust. Conclusion Impaired LV global longitudinal strain, lower LA reservoir strain and lower TAPSE/PASP ratio predict cardiovascular death and HF hospitalization in HFpEF and are independent of filling pressures, clinical characteristics and natriuretic peptides. These echocardiographic parameters reflect key functional changes in HFpEF, and should be incorporated in future prospective risk prediction models.

The prognostic impact of intra-procedural mitral valve gradient following transcatheter edge-to-edge repair for primary mitral regurgitation

Abstract Background/Introduction The impact of intra-procedural mitral valve gradient following transcatheter edge-to-edge repair (TEER) in primary mitral regurgitation (MR) is a matter of controversial debates. Purpose The aim of this study was to investigate the prognostic impact of intra-procedural mean mitral valve gradient (MPG) in patients with primary MR undergoing TEER. Methods The PRIME-MR registry included consecutive patients with primary MR undergoing TEER from 2008-2022 at 27 international sites. Clinical outcomes were assessed according to intra-procedural mean MPG measured at the end of the procedure by transesophageal echocardiography. The evolution of mean MPG from intra-procedural to discharge and follow-up was documented. Baseline characteristics and clinical outcomes of patients were investigated according to intra-procedural mean MPG using a cut-off of 5mmHg (low MPG: ≤5mmHg, high MPG: >5mmHg). The prognostic impact of intra-procedural mean MPG was evaluated in multivariable Cox regression analysis. The primary endpoint was 2-year all-cause mortality or heart failure (HF) hospitalization. Results Intra-procedural MPG was available in 1,516 patients (median age 82 years [IQR 76.0, 86.0], 55.1% male). Patients with high intra-procedural MPG presented with less atrial fibrillation and less severe MR but were more symptomatic at baseline than patients with low MPG. Moreover, patients with high intra-procedural MPG had higher baseline MPG and smaller LV dimensions (LVEDV and LVESV). The rate of patients with mean MPG >5mmHg increased from intra-procedural (18.3%) to discharge (31.3%), while remaining stable thereafter (1-year follow-up: 30.9%; last follow-up: 29.6%). At 1-year follow-up the rate of patients presenting with New York Heart Association (NYHA) functional class I or II did not differ between patients with low (82.3%) and high MPG (83.6%, p=0.93). Kaplan-Meier analysis according to mean MPG showed no difference between patients with low and high MPG for the primary endpoint (32.4% vs. 42.1%, p=0.12), as well as for the single endpoints of all-cause mortality (22.3% vs. 27.7%, p=0.47) and HF hospitalization (17.6% vs. 27.5%, p=0.087) through 2 years (Figure 1). Unadjusted spline analyses were provided to depict the prognostic impact of continuous intra-procedural MPG (Figure 2). Following multivariable Cox regression neither MPG >5mmHg (HR 0.91, 95%-CI 0.56-1.49, p=0.72), nor continuous MPG (HR 1.05, 95% CI 0.96-1.15, p=0.28) were independently associated with adverse clinical outcomes. Conclusions Based on a large international cohort of patients with primary MR undergoing TEER, intra-procedural mean MPG did not significantly affect clinical and functional outcomes at 2 years. The long-term impact of elevated post-procedural MPG warrants further investigation.Figure 1Figure 2

Predictors of heart failure hospitalization after surgery in patients with primary mitral regurgitation: the relevance of left atrial coupling index

Abstract Background and Aims The main indications for surgery in patients with primary mitral regurgitation (PMR) include the presence of symptoms, left ventricular dysfunction (LVEF ≤60%) and dilation (LVESD ≥ 40 mm), but novel markers are needed to detect early myocardial damage. Our aim was to explore the impact of echocardiographic parameters on the incidence of heart failure (HF) hospitalizations after surgery in our cohort of patients with PMR. Methods Retrospective analysis of a prospective cohort of patients with PMR who underwent mitral valve surgery in a tertiary care center from 2014 to 2022. Echocardiographic parameters measured prior to surgery were analyzed. The primary outcome was HF admissions during follow-up. Results 349 patients were included. The mean age was 69 (12) years and 55.9% were male. During a mean follow up of 3.28 (2) years, 13 patients (3.7%) were admitted due to HF. Variables significantly associated with HF admissions were: female gender, atrial fibrillation prior to surgery, LVEF, LV end-diastolic volume index, LV global longitudinal strain, left atrial coupling index [LACI] (end-diastolic left atrial volume/end-diastolic LV volume), TAPSE and right ventricular-arterial coupling. In a multivariable logistic regression analysis, the only independent predictors of HF admissions were female gender (OR 5.68), LVEF (OR 0.93) and LACI (1.87) (p<0.05). Conclusions In our cohort of patients with PMR, apart from LVEF, LACI was the only echocardiographic parameter independently associated with HF hospitalizations after surgery. This easy to obtain echocardiographic parameter, which takes into account the interrelation between LA and LV compliance, could help guide patients’ management in this setting.Table 1

Visit-to-visit changes in heart rate in heart failure: a pooled participant-level analysis of the PARADIGM-HF and PARAGON-HF trials

Abstract Background Resting heart rate (HR) is a strong established marker of risk in patients with heart failure (HF), but the clinical implications of changes in HR over time are less well established. We aimed to explore the association between visit-to-visit changes in HR and cardiovascular (CV) outcomes in a pooled participant-level dataset of 2 large cohorts of patients with HF across the full range of left ventricular ejection fraction (LVEF). Methods PARADIGM-HF and PARAGON-HF were global, multicenter, randomized clinical trials testing sacubitril/valsartan against an active control (enalapril or valsartan, respectively) in patients with HF and LVEF ≤40% (in PARADIGM-HF) or LVEF ≥45% (in PARAGON-HF). Change in HR was defined as the difference in HR between a visit at any time and the preceding visit. The association between the change in HR and subsequent risk of first HF hospitalization (HFH) or CV death was assessed using Cox proportional hazards models, after adjusting for HR at the preceding visit and potential confounders. HR at any time was also assessed using repeated measures regression models with restricted cubic splines, and was plotted relative to time defined as the number of months prior to or immediately following a HFH event or end of follow-up. Patients who experienced HFH during the study period were compared to a control population who remained free of all-cause hospitalization and all-cause death during the follow-up period. Results A total of 13,194 patients (mean age 67±11 years, 67% men, mean LVEF 40±15%) were included. Heart rates were available in 16 visits in both PARADIGM-HF and PARAGON-HF. Over a median follow-up of 2.4 years, 3,114 patients underwent a first HFH or CV death (10.4 events per 100 patient-years). Any increase in HR from the preceding visit, compared with no change, was associated with a significantly higher risk of first HFH or CV death (Figure 1, adjusted hazard ratio 1.10, 95% confidence interval, CI: 1.08–1.13, P<0.001, per 5 bpm increase in HR). Conversely, a drop in HR was associated with significantly lower risk. This prognostic association between temporal changes of HR and risk of first HFH or CV death was consistent across the range of LVEF (Pinteraction=0.34) and seen irrespective of background use of β-blockers (Pinteraction=0.91). Relative increases in HR were especially prognostic in patients without a history of atrial fibrillation/flutter (Pinteraction=0.01). HR at any time appeared to increase during the 8 months prior to a HFH event, and remained elevated after hospitalization, in comparison to a relatively stable HR observed in the control group (Figure 2). Conclusions Across a broad spectrum of patients with chronic HF, relative increases in HR from a preceding visit strongly and independently predicted both CV and non-CV outcomes. Our findings suggest that detection of notable increases in HR between outpatient visits may help identify patients at heightened risk of adverse events.

QRS complex fragmentation status before and after cardiac resynchronization therapy predicts hospitalizations for heart failure

Abstract Introduction Cardiac resynchronization therapy (CRT) reduces mortality and hospitalization for heart failure (HF) in selected patients with HF with reduced ejection fraction (HFrEF). However, there is a significant percentage of non-responders who are readmitted for HF after implantation. Several biomarkers and electrocardiographic findings have been suggested as prognostic markers in this group of patients. Fragmentation of the QRS complex (QRSf) has been associated with worse prognosis in several cardiac diseases, but evidence in patients undergoing CRT remains to be limited. Purpose To evaluate if the changes in QRSf status before and after CRT implantation have a prognostic role in patients undergoing CRT in terms of hospitalization for HF. Methods Consecutive patients undergoing CRT were prospectively included from October 2009 to December 2022. Demographic clinical, electrocardiographic and echocardiographic variables were recorded. Prospective follow-up variables were collected from electronic clinical records and telephone interview. QRSf complex was defined by the presence of different RSR′ patterns including an additional R-waves (R′) and notches of the R-wave and S-wave in two contiguous leads corresponding to a main coronary artery territory in a 12-lead surface electrocardiogram performed before and after CRT. Results A total of 244 patients (mean age 72 ± 10 years, 80% male) were included. The etiology of the LV systolic dysfunction was ischemic in 50.0%. Mean LVEF before implantation was 25 ± 9% and mean paced QRS width was 141 ± 23 ms. CRT-D was implanted in 176 patients (72.2%). At baseline, 150 patients had a QRSf. After CRT implantation, 69 (28.4%) patients experimented a change in QRSf status: 29 patients (11.9%) without prior QRSf developed QRSf, whereas 40 patients (16.5%) resolved QRSf after CRT. Median follow-up time was 36.0 months (interquartile range 18.2-75.7). At follow-up, 90 patients died and 91 presented at least one hospitalization for HF. Multivariate Cox regression survival analysis showed that development of QRSf after CRT implantation (HR 8.87; 95% CI 1.85-42.50) and the presence of QRSf before implantation with or without paced QRSf after CRT (HR 8.21; 95% CI 1.75-38.50 and HR 16.70; 95% CI 3.88-71.80 respectively) were independently associated with hospitalizations for HF. Univariate and multivariate Cox regression analyses for HF hospitalization are presented in Table 1. Figure 1 presents Kaplan-Meier curves for QRSf status and hospitalizations for HF. Conclusions According to our results, QRSf status before and after CRT have a significant prognostic role in terms of hospitalization for HF after CRT, especially in those who develop QRSf after CRT and those with baseline QRSf regardless QRSf status after CRT. The worse prognosis was observed in those with QRSf before and after CRT. Therefore, these patients should be followed more strictly because they are at higher risk of decompensation.Table 1.Cox Regression Analyses

Comparative analysis of renin-angiotensin system inhibitors/angiotensin receptor neprilysin inhibitor and mineralocorticoid receptor antagonists in heart failure with mildly reduced ejection fraction

Abstract Background Apart from sodium-glucose co-transporter 2 inhibitors, the efficacy of renin–angiotensin system inhibitors/angiotensin receptor neprilysin inhibitors (RASI/ARNI)j8788 as well as mineralocorticoid receptor antagonist (MRA) in patients with heart failure with mildly reduced ejection fraction remains uncertain. We assessed the association between these medications and outcomes in patients with heart failure with mildly reduced ejection fraction (HFmrEF). Methods Patients with HFmrEF from our university hospital-integrated Medical Database were included. Associations between the medications and cardiovascular mortality/heart failure hospitalization were evaluated using Cox regressions in a 1:1 propensity score-matched cohort. Inverse probability of treatment weighting was employed to balance baseline patient characteristics. Results Of 2584 patients with HFmrEF, 17% received MRA and 43% received RASI/ARNI. Predictors of MRA use included older age, slightly higher ejection fraction, lower NT-proBNP level, and eGFR >60 mL/min/1.73 m^2. Predictors of RASI/ARNI use included higher body mass index, lower NT-proBNP level, normal uric acid level, normal potassium level, and eGFR >60 mL/min/1.73 m^2. MRA use was not associated with a lower risk of cardiovascular death and hospitalization for heart failure (hazard ratio [HR] = 0.89, 95% confidence interval [CI]: 0.78–1.02 and HR = 1.01, 95% CI: 0.94–1.09, respectively). Conversely, RASI/ARNI use was associated with a lower risk of cardiovascular death but not hospitalization for heart failure (HR = 0.82, 95% CI: 0.71–0.94 and HR = 0.995, 95% CI: 0.924–1.07, respectively). Notably, landmark analysis revealed no significant difference in the risk of outcomes when the follow-up duration exceeded two years. Conclusions The effect of MRA on cardiovascular death and hospitalization for heart failure was neutral, whereas RASI/ARNI was associated with a lower risk of cardiovascular death. Our findings suggest that RASi use may be more beneficial than MRA use in patients with HFmrEF.

Association of a history of acute kidney injury with major adverse cardiovascular events in chronic kidney disease patients

Abstract Background/introduction Acute kidney injury (AKI) is strongly associated with major adverse cardiovascular events (MACE), particularly heart failure, in both general and critically ill populations. A recent study questioned whether this association holds true only for patients without chronic kidney disease (CKD). Purpose To evaluate the association of a history of AKI with MACE in a large real-world CKD population defined using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Methods A retrospective cohort study was conducted using Merative® Explorys electronic health records (>54 million patients) from Jan 2010 to Dec 2019. Six cohorts of CKD patients (diagnosed or not) were created, one for each stage (1-5). Patients were required to have two consecutive abnormal eGFR, uACR/uPCR results within 3-18 months to determine CKD stage, to have at least a 12-months lookback period, and no history of end-stage kidney disease. CKD classification was not mutually exclusive (individual patients could contribute to multiple stages). Index date was the date of the second abnormal test. History of AKI was defined using ICD diagnosis codes, not through biological changes. We followed each patient until the occurrence of a composite of MACE including death, coronary events [acute coronary syndrome + coronary revascularization], any stroke, hospitalization for heart failure, or loss to follow-up, or for up to 5 years. We used multivariable Cox proportional hazards regression to estimate associations between the history of AKI and the risk of MACE during follow-up, adjusted for the following confounders: age, sex, ethnicity, systolic blood pressure, eGFR, BMI, CV history, diabetes, and any CKD diagnosis at baseline. Results Most of the 969,394 patients included in at least one CKD stage cohort were in stage 3a (see table) and Caucasian. Mean ages were 57-75y and 42%-64% were females across the 5 CKD stages. The prevalence of pre-existing CV disease increased from 24% in stage 1 to 57% in stage 4. The proportion of patients with a history of AKI increased from 4% in stage 1 to 36% in stage 4, as well as, the proportion of patients with a ICD code for CKD diagnosis at baseline (3% to 44%). The 5-year incidence of the composite of MACE increased from 25.1% in stage 1 to 65.8% in stage 5. Death was the most frequent event across all stages. In multivariable analysis, a history of AKI was associated with increased risk of MACE (hazard ratios, HR 1.19 to 1.32), all-cause death (HR 1.12 to 1.86), and hospitalization for Heart Failure (HR 1.59 to 1.98) for all CKD stages, and coronary events for stage 2 to 5 (HR 1.14 to 1.22), but not stroke. Conclusion Patients with CKD and a history of AKI are at higher risk of adverse CV outcomes, especially hospitalization for heart failure. This study suggest that these patients should receive cardio -protective intervention.