| 1. |
- Lindberg, Felix, et al.
(författare)
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Patient profile and outcomes associated with follow-up in specialty vs. primary care in heart failure
- 2022
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Ingår i: ESC Heart Failure. - : Wiley Periodicals Inc. - 2055-5822. ; 9:2, s. 822-833
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Tidskriftsartikel (refereegranskat)abstract
- Aims Factors influencing follow-up referral decisions and their prognostic implications are poorly investigated in patients with heart failure (HF) with reduced (HFrEF), mildly reduced (HFmrEF), and preserved (HFpEF) ejection fraction (EF). We assessed (i) the proportion of, (ii) independent predictors of, and (iii) outcomes associated with follow-up in specialty vs. primary care across the EF spectrum. Methods and results We analysed 75 518 patients from the large and nationwide Swedish HF registry between 2000-2018. Multivariable logistic regression models were fitted to identify the independent predictors of planned follow-up in specialty vs. primary care, and multivariable Cox models to assess the association between follow-up type and outcomes. In this nationwide registry, 48 115 (64%) patients were planned for follow-up in specialty and 27 403 (36%) in primary care. The median age was 76 [interquartile range (IQR) 67-83] years and 27 546 (36.5%) patients were female. Key independent predictors of planned follow-up in specialty care included optimized HF care, that is follow-up in a nurse-led HF clinic [odds ratio (OR) 4.60, 95% confidence interval (95% CI) 4.41-4.79], use of HF devices (OR 3.99, 95% CI 3.62-4.40), beta-blockers (OR 1.39, 95% CI 1.32-1.47), renin-angiotensin system/angiotensin-receptor-neprilysin inhibitors (OR 1.21, 95% CI 1.15-1.27), and mineralocorticoid receptor antagonists (OR 1.31, 95% CI 1.26-1.37); and more severe HF, that is higher NT-proBNP (OR 1.13, 95% CI 1.06-1.20) and NYHA class (OR 1.13, 95% CI 1.08-1.19). Factors associated with lower likelihood of follow-up in specialty care included older age (OR 0.29, 95% CI 0.28-0.30), female sex (OR 0.89, 95% CI 0.86-0.93), lower income (OR 0.79, 95% CI 0.76-0.82) and educational level (OR 0.77, 95% CI 0.73-0.81), higher EF [HFmrEF (OR 0.65, 95% CI 0.62-0.68) and HFpEF (OR 0.56, 95% CI 0.53-0.58) vs. HFrEF], and higher comorbidity burden, such as presence of kidney disease (OR 0.91, 95% CI 0.87-0.95), atrial fibrillation (OR 0.85, 95% CI 0.81-0.89), and diabetes mellitus (OR 0.92, 95% CI 0.88-0.96). A planned follow-up in specialty care was independently associated with lower risk of all-cause [hazard ratio (HR) 0.78, 95% CI 0.76-0.80] and cardiovascular death (HR 0.76, 95% CI 0.73-0.78) across the EF spectrum, but not of HF hospitalization (HR 1.06, 95% CI 1.03-1.10). Conclusions In a large nationwide HF population, referral to specialty care was linked with male sex, younger age, lower EF, lower comorbidity burden, better socioeconomic environment and optimized HF care, and associated with better survival across the EF spectrum. Our findings highlight the need for greater and more equal access to HF specialty care and improved quality of primary care.
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| 3. |
- Savarese, Gianluigi, et al.
(författare)
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Prevalence of, associations with, and prognostic role of anemia in heart failure across the ejection fraction spectrum
- 2020
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Ingår i: International Journal of Cardiology. - : ELSEVIER IRELAND LTD. - 0167-5273 .- 1874-1754. ; 298, s. 59-65
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Tidskriftsartikel (refereegranskat)abstract
- Background: The role of anemia in heart failure with mid-range and preserved ejection fraction (HFmrEF, EF 40-49% and HFpEF, EF amp;gt;= 50%) is unknown. We aimed to compare prevalence of, associations with, and prognostic role of anemia in HF across the EF spectrum. Methods: In patients from the Swedish HF Registry, we assessed the associations between clinical characteristics and anemia (hemoglobin amp;lt;120 g/L in women and amp;lt;130 g/L in men) by multivariable logistic regression, and between anemia, composite of all-cause death and HF hospitalization and all-cause death alone by multivariable Cox regression. Results: Of 49,985 patients with HF (anemia = 34%), 23% had HFpEF (anemia = 41%), 21% had HFmrEF (anemia = 35%) and 55% had HFpEF (anemia = 32%). Higher EF was independently associated with higher likelihood of concomitant anemia. Important predictors of anemia across the EF spectrum were male sex, older age, worse New York Heart Association class and renal function, lower systolic blood pressure, higher N-Terminal B-type natriuretic peptides levels, diabetes, valvular disease and in-patient status. Anemia had adjusted hazard ratios (95% CI) for mortality or HF hospitalization 1.24 (1.18-1.30) in HFpEF, 1.26 (1.19-1.34) in HFmrEF and 1.14 (1.10-1.19) in HFrEF; p(interaction)EF = 0.003; and for mortality 1.28 (1.20-1.36) in HFpEF, 1.21 (1.13-1.29) in HFmrEF, and 1.30 (1.24-1.35) in HFrEF; p(interaction)EF = 0.22. Conclusions: In this nation-wide registry, prevalence of anemia was higher in HFpEF vs. HFmrEF vs. HFrEF, but was associated with a similarly increased risk of death across the EF spectrum, with greater risk of death or HF hospitalization in HFpEF and HFmrEF vs. HFrEF. (C) 2019 Elsevier B.V. All rights reserved.
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