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- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 2. |
- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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| 3. |
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| 5. |
- Martinez-Selles, M., et al.
(författare)
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Gender and survival in patients with heart failure: interactions with diabetes and aetiology. Results from the MAGGIC individual patient meta-analysis
- 2012
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Ingår i: European journal of heart failure. - : Wiley. - 1879-0844 .- 1388-9842. ; 14:5, s. 473-479
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Tidskriftsartikel (refereegranskat)abstract
- Aim The aim of this study was to investigate the relationship between gender and survival of patients with heart failure, using data from both randomized trials and observational studies, and the relative contribution of age, left ventricular systolic function, aetiology, and diabetes to differences in prognosis between men and women. METHODS AND RESULTS: Data from 31 studies (41 949 patients; 28 052 men, 13 897 women) from the Meta-Analysis Global Group In Chronic Heart Failure (MAGGIC) individual patient meta-analysis were used. We performed survival analysis to assess the association of gender with mortality, adjusting for predictors of mortality, including age, reduced or preserved ejection fraction (EF), and ischaemic or non-ischaemic aetiology. Women were older [70.5 ( standard deviation 12.1) vs. 65.6 (standard deviation 11.6) years], more likely to have a history of hypertension (49.9% vs. 40.0%), and less likely to have a history of ischaemic heart disease (46.3% vs. 58.7%) and reduced EF (62.6% vs. 81.6%) compared with men. During 3 years follow-up, 3521 (25%) women and 7232 (26%) men died. After adjustment, male gender was an independent predictor of mortality, and the better prognosis associated with female gender was more marked in patients with heart failure of non-ischaemic, compared with ischaemic, aetiology (P-value for interaction = 0.03) and in patients without, compared with those with, diabetes (P-value for interaction <0.0001). CONCLUSION: This large, individual patient data meta-analysis has demonstrated that survival is better for women with heart failure compared with men, irrespective of EF. This survival benefit is slightly more marked in non-ischaemic heart failure but is attenuated by concomitant diabetes.
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| 6. |
- Padwal, R., et al.
(författare)
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The obesity paradox in heart failure patients with preserved versus reduced ejection fraction: a meta-analysis of individual patient data
- 2014
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Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 0307-0565 .- 1476-5497. ; 38:8, s. 1110-1114
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Tidskriftsartikel (refereegranskat)abstract
- Background:In heart failure (HF), obesity, defined as body mass index (BMI) >/=30 kg m-2, is paradoxically associated with higher survival rates compared with normal-weight patients (the 'obesity paradox'). We sought to determine if the obesity paradox differed by HF subtype (reduced ejection fraction (HF-REF) versus preserved ejection fraction (HF-PEF)).Patients and Methods:A sub-analysis of the MAGGIC meta-analysis of patient-level data from 14 HF studies was performed. Subjects were divided into five BMI groups: <22.5, 22.5-24.9 (referent), 25-29.9, 30-34.9 and >/=35 kg m-2. Cox proportional hazards models adjusted for age, sex, aetiology (ischaemic or non-ischaemic), hypertension, diabetes and baseline blood pressure, stratified by study, were used to examine the independent association between BMI and 3-year total mortality. Analyses were conducted for the overall group and within HF-REF and HF-PEF groups.Results:BMI data were available for 23 967 subjects (mean age, 66.8 years; 32% women; 46% NYHA Class II; 50% Class III) and 5609 (23%) died by 3 years. Obese patients were younger, more likely to receive cardiovascular (CV) drug treatment, and had higher comorbidity burdens. Compared with BMI levels between 22.5 and 24.9 kg m-2, the adjusted relative hazards for 3-year mortality in subjects with HF-REF were: hazard ratios (HR)=1.31 (95% confidence interval=1.15-1.50) for BMI <22.5, 0.85 (0.76-0.96) for BMI 25.0-29.9, 0.64 (0.55-0.74) for BMI 30.0-34.9 and 0.95 (0.78-1.15) for BMI >/=35. Corresponding adjusted HRs for those with HF-PEF were: 1.12 (95% confidence interval=0.80-1.57) for BMI <22.5, 0.74 (0.56-0.97) for BMI 25.0-29.9, 0.64 (0.46-0.88) for BMI 30.0-34.9 and 0.71 (0.49-1.05) for BMI >/=35.Conclusions:In patients with chronic HF, the obesity paradox was present in both those with reduced and preserved ventricular systolic function. Mortality in both HF subtypes was U-shaped, with a nadir at 30.0-34.9 kg m-2.International Journal of Obesity advance online publication, 26 November 2013; doi:10.1038/ijo.2013.203.
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| 8. |
- McAlister, Finlay A, et al.
(författare)
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Renal dysfunction in patients with heart failure with preserved versus reduced ejection fraction: impact of the new Chronic Kidney Disease-Epidemiology Collaboration Group formula.
- 2012
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Ingår i: Circulation. Heart failure. - 1941-3297. ; 5:3, s. 309-14
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Tidskriftsartikel (refereegranskat)abstract
- Prior studies in heart failure (HF) have used the Modification of Diet in Renal Disease (MDRD) equation to calculate estimated glomerular filtration rate (eGFR). The Chronic Kidney Disease-Epidemiology Collaboration Group (CKD-EPI) equation provides a more-accurate eGFR than the MDRD when compared against the radionuclide gold standard. The prevalence and prognostic import of renal dysfunction in HF if the CKD-EPI equation is used rather than the MDRD is uncertain.We used individual patient data from 25 prospective studies to stratify patients with HF by eGFR using the CKD-EPI and the MDRD equations and examined survival across eGFR strata. In 20 754 patients (15 962 with HF with reduced ejection fraction [HF-REF] and 4792 with HF with preserved ejection fraction [HF-PEF]; mean age, 68 years; deaths per 1000 patient-years, 151; 95% CI, 146-155), 10 589 (51%) and 11 422 (55%) had an eGFR <60 mL/min using the MDRD and CKD-EPI equations, respectively. Use of the CKD-EPI equation resulted in 3760 (18%) patients being reclassified into different eGFR risk strata; 3089 (82%) were placed in a lower eGFR category and exhibited higher all-cause mortality rates (net reclassification improvement with CKD-EPI, 3.7%; 95% CI, 1.5%-5.9%). Reduced eGFR was a stronger predictor of all-cause mortality in HF-REF than in HF-PEF.Use of the CKD-EPI rather than the MDRD equation to calculate eGFR leads to higher estimates of renal dysfunction in HF and a more-accurate categorization of mortality risk. Renal function is more closely related to outcomes in HF-REF than in HF-PEF.
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