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1.
Clin Res Cardiol ; 113(6): 951-958, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38695899

RESUMO

BACKGROUND: The evidence regarding beta blocker (BB) benefit in heart failure with preserved ejection fraction (HFpEF) remains inconclusive, leading to consideration of BB withdrawal in this population. OBJECTIVES: In this study, we retrospectively analyzed the association of BB on all-cause mortality in HFpEF patients. METHODS: This is a single-center retrospective cohort study of 20,206 patients with left ventricular ejection fraction (EF) ≥ 50% who were hospitalized with decompensated HF between January 2011 and March 2020. Survival is reported at 30 days, 1 year, and 3 years. A secondary analysis comparing mortality for patients on BB with additional indications including hypertension (HTN), coronary artery disease (CAD), and atrial fibrillation (AF) was completed. Mortality was compared between patients on BB and additional therapies of spironolactone or angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEi/ARBs). RESULTS: BB showed lower all-cause mortality at 30 days, 1 year, and 3 years (p < 0.0001). This association with lower all-cause mortality was validated by a supplementary propensity score-matched analysis. At 3 years, there was significant mortality reduction with addition of BB to either spironolactone (p = 0.0359) or ACEi/ARBs (p < 0.0001). CONCLUSION: In a large single-center retrospective registry, BB use was associated with lower mortality in HFpEF patients with a recent decompensated HF hospitalization. The mortality benefit persisted in those treated with spironolactone or ACEi/ARBs, and in those with AF. This provocative data further highlights the uncertainty of the benefit of BB use in this cohort and calls for re-consideration of BB withdrawal, especially in those tolerating it well, without conclusive, large, and randomized trials showing lack of benefit or harm.


Assuntos
Antagonistas Adrenérgicos beta , Causas de Morte , Insuficiência Cardíaca , Volume Sistólico , Humanos , Estudos Retrospectivos , Masculino , Feminino , Antagonistas Adrenérgicos beta/uso terapêutico , Idoso , Insuficiência Cardíaca/mortalidade , Insuficiência Cardíaca/tratamento farmacológico , Insuficiência Cardíaca/fisiopatologia , Volume Sistólico/fisiologia , Causas de Morte/tendências , Função Ventricular Esquerda/fisiologia , Função Ventricular Esquerda/efeitos dos fármacos , Pessoa de Meia-Idade , Taxa de Sobrevida/tendências , Idoso de 80 Anos ou mais , Inibidores da Enzima Conversora de Angiotensina/uso terapêutico , Seguimentos , Espironolactona/uso terapêutico
2.
Circ Cardiovasc Interv ; 15(3): e011092, 2022 03.
Artigo em Inglês | MEDLINE | ID: mdl-35176872

RESUMO

BACKGROUND: Despite its high prevalence and clinical impact, research on peripheral artery disease (PAD) remains limited due to poor accuracy of billing codes. Ankle-brachial index (ABI) and toe-brachial index can be used to identify PAD patients with high accuracy within electronic health records. METHODS: We developed a novel natural language processing (NLP) algorithm for extracting ABI and toe-brachial index values and laterality (right or left) from ABI reports. A random sample of 800 reports from 94 Veterans Affairs facilities during 2015 to 2017 was selected and annotated by clinical experts. We trained the NLP system using random forest models and optimized it through sequential iterations of 10-fold cross-validation and error analysis on 600 test reports and evaluated its final performance on a separate set of 200 reports. We also assessed the accuracy of NLP-extracted ABI and toe-brachial index values for identifying patients with PAD in a separate cohort undergoing ABI testing. RESULTS: The NLP system had an overall precision (positive predictive value) of 0.85, recall (sensitivity) of 0.93, and F1 measure (accuracy) of 0.89 to correctly identify ABI/toe-brachial index values and laterality. Among 261 patients with ABI testing (49% PAD), the NLP system achieved a positive predictive value of 92.3%, sensitivity of 83.1%, and specificity of 93.1% to identify PAD when compared with a structured chart review. The above findings were consistent in a range of sensitivity analysis. CONCLUSIONS: We successfully developed and validated an NLP system for identifying patients with PAD within the Veterans Affairs electronic health record. Our findings have broad implications for PAD research and quality improvement.


Assuntos
Índice Tornozelo-Braço , Doença Arterial Periférica , Tornozelo , Índice Tornozelo-Braço/métodos , Humanos , Extremidade Inferior , Doença Arterial Periférica/diagnóstico , Doença Arterial Periférica/epidemiologia , Valor Preditivo dos Testes , Resultado do Tratamento
4.
Cardiol Res Pract ; 2019: 1505142, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31612080

RESUMO

The cumulative incidence of systolic heart failure is similar in men and women. However, major prognostic differences exist between genders. We sought to measure gender differences in furosemide prescribing patterns for patients with preexisting heart failure with reduced ejection fraction (HFrEF) admitted with Stage C acute decompensation, regardless of the underlying cause. We conducted a single-center retrospective analysis of patients admitted between 2015 and 2018 for acute on chronic decompensated HFrEF. Primary outcomes were differences in initial furosemide dose, total dose over the first 24 hours of hospitalization, and total dose during the entire hospitalization between women and men. Secondary outcomes included acute kidney injury (AKI), intubation, noninvasive ventilation (NIV), and in-hospital 30-day and 1-year mortality. We studied 434 patients (31% female) with similar baseline characteristics. Females received significantly less furosemide compared to men for the initial dose, over the first 24 hours, and throughout their hospitalization. However, AKI was more prevalent in women versus men (p=0.008). Females admitted for acute on chronic decompensated HFrEF receive significantly less furosemide when compared to men, but developed more AKI prior to discharge.

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