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IntroductionHospital length of stay (LoS) and hospital readmissions are metrics of healthcare performance. We examined the association between these two metrics in older patients hospitalized with decompensated heart failure (HF).Material and methodsEight thousand and forty-nine patients hospitalized for HF in 106 U.S. hospitals had a median LoS of 5 days; among them, 3777 had a LoS > 5 days. Using propensity scores for LoS > 5 days, we assembled 2723 pairs of patients with LoS 1-5 vs. > 5 days. The matched cohort of 5446 patients was balanced on 40 baseline characteristics. We repeated the above process in 7045 patients after excluding those with LoS > 10 days, thus assembling a second matched cohort of 2399 pairs of patients with LoS 1-5 vs. 6-10 days. Hazard ratios (HR) and 95% confidence intervals (CI) for outcomes associated with longer LoS were estimated in matched cohorts.ResultsIn the primary matched cohort (n = 5446), LoS > 5 days was associated with a higher risk of all-cause readmission at 30 days (HR = 1.16; 95% CI: 1.04-1.31; p = 0.010), but not during longer follow-up. A longer LoS was also associated with a higher risk of mortality during 8.8 years of follow-up (HR = 1.13; 95% CI: 1.06-1.21; p < 0.001). LoS had no association with HF readmission. Similar associations were observed among the matched sensitivity cohort (n = 4798) that excluded patients with LoS > 10 days.ConclusionsIn propensity score-matched balanced cohorts of patients with HF, a longer LoS was independently associated with poor outcomes, which persisted when LoS > 10 days were excluded.

BackgroundNew hypertension and heart failure guidelines recommend that systolic blood pressure (SBP) in patients with heart failure with preserved ejection fraction (HFpEF) and hypertension be lowered to

BackgroundHeart failure (HF) is a major source of morbidity and mortality. Fluid retention and shortness of breath are its cardinal manifestations for which loop diuretics are used. Although their usefulness is well accepted, less is known about their role in improving clinical outcomes.ObjectivesThe purpose of this study was to determine the relationship between loop diuretics and clinical outcomes in patients with HF.MethodsOf the 25,345 older patients hospitalized for HF in the Medicare-linked OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) registry, 9,866 (39%) received no pre-admission diuretics. The study excluded 1,083 patients receiving dialysis and 847 discharged on thiazide diuretics. Of the remaining 7,936 patients, 5,568 (70%) were prescribed loop diuretics at discharge. Using propensity scores for receipt of loop diuretics estimated for each of the 7,936 patients, a matched cohort of 2,191 pairs of patients was assembled balanced on 74 baseline characteristics. Hazard ratios (HRs) and 95% confidence intervals (CIs) for outcomes were estimated in the matched cohort.ResultsMatched patients (n = 4,382) had a mean age of 78 years, 54% were women, and 11% were African American. The 30-day all-cause mortality occurred in 4.9% (107 of 2,191) and 6.6% (144 of 2,191) of patients in the loop diuretic and no loop diuretic groups, respectively (HR when the use of loop diuretics was compared with nonuse: 0.73; 95% CI: 0.57 to 0.94; p = 0.016). Patients in the loop diuretic group had a significantly lower risk of 30-day HF readmission (HR: 0.79; 95% CI: 0.63 to 0.99; p = 0.037) but not of 30-day all-cause readmission (HR: 0.89; 95% CI: 0.79 to 1.01; p = 0.081). None of the associations was statistically significant during 60 days of follow-up.ConclusionsHospitalized older patients not taking diuretics prior to hospitalization for HF decompensation who received a discharge prescription for loop diuretics had significantly better 30-day clinical outcomes than those not discharged on loop diuretics. These findings provide new information about short-term clinical benefits associated with loop diuretic use in HF.

AimsHypokalaemia is a risk factor for ventricular arrhythmias and sudden death in ambulatory patients with chronic heart failure (HF). The objective of this study was to examine the association between hypokalaemia and outcomes in hospitalized patients with decompensated HF in whom sudden death is less common.Methods and resultsOf the 5881 hospitalized patients with HF, 1052 had consistent hypokalaemia (both admission and discharge serum potassium

BackgroundThe efficacy of mineralocorticoid receptor antagonists or aldosterone antagonists in heart failure with reduced ejection fraction (HFrEF) is well known. Less is known about their effectiveness in real-world older patients with HFrEF.MethodsOf the 8206 patients with heart failure and ejection fraction ≤35% without prior spironolactone use in the Medicare-linked OPTIMIZE-HF registry, 6986 were eligible for spironolactone therapy based on serum creatinine criteria (men ≤2.5 mg/dL, women ≤2.0 mg/dL) and 865 received a discharge prescription for spironolactone. Using propensity scores for spironolactone use, we assembled a matched cohort of 1724 (862 pairs) patients receiving and not receiving spironolactone, balanced on 58 baseline characteristics (Creatinine Cohort: mean age, 75 years, 42% women, 17% African American). We repeated the above process to assemble a secondary matched cohort of 1638 (819 pairs) patients with estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m2 (eGFR Cohort: mean age, 75 years, 42% women, 17% African American).ResultsIn the matched Creatinine Cohort, spironolactone-associated hazard ratios (95% confidence intervals) for all-cause mortality, heart failure readmission, and combined endpoint of heart failure readmission or all-cause mortality were 0.92 (0.81-1.03), 0.87 (0.77-0.99), and 0.87 (0.79-0.97), respectively. Respective hazard ratios (95% confidence intervals) in the matched eGFR Cohort were 0.87 (0.77-0.98), 0.92 (0.80-1.05), and 0.91 (0.82-1.02).ConclusionsThese findings provide evidence of consistent, albeit modest, clinical effectiveness of spironolactone in older patients with HFrEF regardless of renal eligibility criteria used. Additional strategies are needed to improve the effectiveness of aldosterone antagonists in clinical practice.

Aims: Heart failure (HF) is a clinical syndrome with no definitive diagnostic tests. HF registries are often based on manual reviews of medical records of hospitalized HF patients identified using International Classification of Diseases (ICD) codes. However, most HF patients are not hospitalized, and manual review of big electronic health record (EHR) data is not practical. The US Department of Veterans Affairs (VA) has the largest integrated healthcare system in the nation, and an estimated 1.5 million patients have ICD codes for HF (HF ICD‐code universe) in their VA EHR. The objective of our study was to develop artificial intelligence (AI) models to phenotype HF in these patients. Methods and results: The model development cohort (n = 20 000: training, 16 000; validation 2000; testing, 2000) included 10 000 patients with HF and 10 000 without HF who were matched by age, sex, race, inpatient/outpatient status, hospital, and encounter date (within 60 days). HF status was ascertained by manual chart reviews in VA's External Peer Review Program for HF (EPRP‐HF) and non‐HF status was ascertained by the absence of ICD codes for HF in VA EHR. Two clinicians annotated 1000 random snippets with HF‐related keywords and labelled 436 as HF, which was then used to train and test a natural language processing (NLP) model to classify HF (positive predictive value or PPV, 0.81; sensitivity, 0.77). A machine learning (ML) model using linear support vector machine architecture was trained and tested to classify HF using EPRP‐HF as cases (PPV, 0.86; sensitivity, 0.86). From the 'HF ICD‐code universe', we randomly selected 200 patients (gold standard cohort) and two clinicians manually adjudicated HF (gold standard HF) in 145 of those patients by chart reviews. We calculated NLP, ML, and NLP + ML scores and used weighted F scores to derive their optimal threshold values for HF classification, which resulted in PPVs of 0.83, 0.77, and 0.85 and sensitivities of 0.86, 0.88, and 0.83, respectively. HF patients classified by the NLP + ML model were characteristically and prognostically similar to those with gold standard HF. All three models performed better than ICD code approaches: one principal hospital discharge diagnosis code for HF (PPV, 0.97; sensitivity, 0.21) or two primary outpatient encounter diagnosis codes for HF (PPV, 0.88; sensitivity, 0.54). Conclusions: These findings suggest that NLP and ML models are efficient AI tools to phenotype HF in big EHR data to create contemporary HF registries for clinical studies of effectiveness, quality improvement, and hypothesis generation. [ABSTRACT FROM AUTHOR]

BackgroundDigoxin use has been associated with a lower risk of 30-day all-cause admission and readmission in patients with heart failure and reduced ejection fraction (HFrEF).HypothesisDigoxin use will be associated with improved outcomes in patients with HFrEF receiving β-blockers.MethodsOf the 3076 hospitalized Medicare beneficiaries with HFrEF (EF

AimsTo examine associations of below-target and target dose of enalapril, an angiotensin-converting enzyme (ACE) inhibitor, with outcomes in patients with heart failure and reduced ejection fraction (HFrEF) in the Studies of Left Ventricular Dysfunction (SOLVD) Treatment trial.Methods and resultsTwo thousand five hundred and sixty-nine patients with HFrEF (ejection fraction ≤35%) were randomized to below-target (5-10 mg/day) dose placebo (n = 1284) or enalapril (n = 1285). One month post-randomization, blind up-titration to target (20 mg/day) dose was attempted for both study drugs in 2458 patients. Among the 1444 patients who achieved dose up-titration (placebo, n = 748; enalapril, n = 696; mean dose for both groups, 20.0 mg/day), target dose enalapril (vs. target dose placebo) was associated with a 9% absolute lower risk of the combined endpoint of heart failure hospitalization or all-cause mortality [adjusted hazard ratio (HR) 0.70; 95% confidence interval (CI) 0.60-0.81; P < 0.001] during 4 years of follow-up. Among the 1014 patients who could not achieve target dose (placebo, n = 486; enalapril, n = 528; mean dose for both groups, 8.8 mg/day), below-target dose enalapril (vs. below-target dose placebo) was associated with a 12% absolute lower risk of the combined endpoint of heart failure hospitalization or all-cause mortality (adjusted HR 0.68; 95% CI 0.57-0.81; P < 0.001). Among the 1224 patients receiving enalapril, target (vs. below-target) dose had no association with the combined endpoint of heart failure hospitalization or all-cause mortality (adjusted HR 1.04; 95% CI 0.87-1.23; P = 0.695).ConclusionIn patients with HFrEF, the clinical benefits of ACE inhibitors appear to be similar at both below-target and target doses.

BackgroundA lower heart rate is associated with better outcomes in patients with heart failure (HF) with reduced ejection fraction (EF). Less is known about this association in patients with HF with preserved ejection fraction (HFpEF).ObjectivesThe aims of this study were to examine associations of discharge heart rate with outcomes in hospitalized patients with HFpEF.MethodsOf the 8,873 hospitalized patients with HFpEF (EF ≥50%) in the Medicare-linked OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) registry, 6,286 had a stable heart rate, defined as ≤20 beats/min variation between admission and discharge. Of these, 2,369 (38%) had a discharge heart rate of

BackgroundIsolated systolic hypertension (ISH) is common in older adults and is a risk factor for incident heart failure (HF). We examined the association of systolic-diastolic hypertension (SDH) with incident HF and other outcomes in older adults.MethodsIn the Cardiovascular Health Study (CHS), 5776 community-dwelling adults≥65years had data on baseline systolic and diastolic blood pressure (SBP and DBP). We excluded those with DBP

BackgroundTherapy with evidence-based heart failure (HF) medications has been shown to be associated with lower risk of 30-day all-cause readmission in patients with HF and reduced ejection fraction (HFrEF).MethodsWe examined the association of aldosterone antagonist use with 30-day all-cause readmission in this population. Of the 2443 Medicare beneficiaries with HF and left ventricular EF ≤35% discharged home from 106 Alabama hospitals during 1998-2001, 2060 were eligible for spironolactone therapy (serum creatinine ≤2.5 for men and ≤2mg/dl for women, and serum potassium

BackgroundHeart failure is the leading cause for 30-day all-cause readmission. We examined the impact of 30-day all-cause readmission on long-term outcomes and cost in a propensity score-matched study of hospitalized patients with heart failure.MethodsOf the 7578 Medicare beneficiaries discharged with a primary diagnosis of heart failure from 106 Alabama hospitals (1998-2001) and alive at 30 days after discharge, 1519 had a 30-day all-cause readmission. Using propensity scores for 30-day all-cause readmission, we assembled a matched cohort of 1516 pairs of patients with and without a 30-day all-cause readmission, balanced on 34 baseline characteristics (mean age 75 years, 56% women, 24% African American).ResultsDuring 2-12 months of follow-up after discharge from index hospitalization, all-cause mortality occurred in 41% and 27% of matched patients with and without a 30-day all-cause readmission, respectively (hazard ratio 1.68; 95% confidence interval 1.48-1.90; P

Aims: According to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline, the definition of chronic kidney disease (CKD) requires the presence of abnormal kidney structure or function for >3 months with implications for health. CKD in patients with heart failure (HF) has not been defined using this definition, and less is known about the true health implications of CKD in these patients. The objective of the current study was to identify patients with HF who met KDIGO criteria for CKD and examine their outcomes. Methods and results: Of the 1 419 729 Veterans with HF not receiving kidney replacement therapy, 828 744 had data on ≥2 ambulatory serum creatinine >90 days apart. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 (n = 185 821) or urinary albumin‐to‐creatinine ratio (uACR) >30 mg/g (n = 32 730) present twice >3 months apart. Normal kidney function (NKF) was defined as eGFR ≥60 ml/min/1.73 m2, present for >3 months, without any uACR >30 mg/g (n = 365 963). Patients with eGFR <60 ml/min/1.73 m2 were categorized into four stages: 45–59 (n = 72 606), 30–44 (n = 74 812), 15–29 (n = 32 077), and <15 (n = 6326) ml/min/1.73 m2. Five‐year all‐cause mortality occurred in 40.4%, 57.8%, 65.6%, 73.3%, 69.7%, and 47.5% of patients with NKF, four eGFR stages, and uACR >30mg/g (albuminuria), respectively. Compared with NKF, hazard ratios (HR) (95% confidence intervals [CI]) for all‐cause mortality associated with the four eGFR stages and albuminuria were 1.63 (1.62–1.65), 2.00 (1.98–2.02), 2.49 (2.45–2.52), 2.28 (2.21–2.35), and 1.22 (1.20–1.24), respectively. Respective age‐adjusted HRs (95% CIs) were 1.13 (1.12–1.14), 1.36 (1.34–1.37), 1.87 (1.84–1.89), 2.24 (2.18–2.31) and 1.19 (1.17–1.21), and multivariable‐adjusted HRs (95% CIs) were 1.11 (1.10–1.12), 1.24 (1.22–1.25), 1.46 (1.43–1.48), 1.42 (1.38–1.47), and 1.13 (1.11–1.16). Similar patterns were observed for associations with hospitalizations. Conclusion: Data needed to define CKD using KDIGO criteria were available in six out of ten patients, and CKD could be defined in seven out of ten patients with data. HF patients with KDIGO‐defined CKD had higher risks for poor outcomes, most of which was not explained by abnormal kidney structure or function. Future studies need to examine whether CKD defined using a single eGFR is characteristically and prognostically different from CKD defined using KDIGO criteria. [ABSTRACT FROM AUTHOR]