It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Aims
Growth differentiation factor‐15 (GDF15), a cytokine in the transforming growth factor family, is up‐regulated in stress and inflammatory conditions and is elevated in patients with heart failure (HF). However, the age‐specific attributes and prognostic significance of GDF15 across age remain unknown in chronic HF (CHF).
Methods and results
Serum levels of GDF15 were examined in 942 hypertensive patients (median 68 years) with CHF from the SUPPORT trial across the four age groups [under 50 (n = 73), 51–59 (n = 158), 60–69 (n = 296), and 70–79 years (n = 415)] and in the continuous spectrum. Clinical correlates of GDF15 were explored using the classic stepwise and LASSO (least absolute shrinkage and selection operator) regression approaches. Interaction terms with age were tested in the LASSO regression approach. The associations with the composite outcome of HF hospitalization or all‐cause death were investigated across ages. Median GDF15 levels (pg/mL) increased along with aging, from 691 in under 50 years to 855 in 51–59 years, 1114 in 60–69 years, and 1516 in 70–79 years (trend P < 0.001). Age, sex, systolic blood pressure, history of diabetes, ischaemic heart disease, left ventricular (LV) end‐systolic dimension, LV ejection fraction, estimated glomerular filtration rate, haemoglobin, N‐terminal pro‐brain natriuretic peptide (NT‐proBNP), troponin, C‐reactive protein, and the use of angiotensin‐converting enzyme inhibitors, diuretics, and statins were mutually selected as clinical covariates of GDF15. The LASSO regression analysis identified significant interactions between age and the history of diabetes and NT‐proBNP, with particularly robust associations in patients aged between 60 and 70 years. During the mean follow‐up of 8.6 years, 474 composite endpoints of HF hospitalization or death occurred. GDF15 was associated with a higher risk of HF hospitalization or all‐cause death [adjusted hazard ratio 1.84 (95% confidence interval 1.45–2.33)], with a particularly heightened risk in patients aged around 70 years (Pinteraction = 0.0008). The model with GDF15 on top of other established risk factors yielded marginally higher C‐statistics compared with the model without GDF15 (0.803 and 0.796, P = 0.045). The additive value of GDF15 on top of other established risk factors appeared similar across ages. A universal cut‐off value of 1400 pg/mL performed well in discriminating between those with and without HF hospitalization or death.
Conclusions
Some clinical correlates of GDF15 have an interaction with age. GDF15 is an important determinant of cardiovascular endpoints, particularly in patients aged around 70 years. The additive value of GDF15 appeared consistent across ages, suggesting the use of a universal cut‐off value.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
; Nochioka, Kotaro 2
; Sakata, Yasuhiko 3 ; Nishimura, Kunihiro 4 ; Shimokawa, Hiroaki 5 ; Yasuda, Satoshi 2 1 Department of Biostatistics, National Cerebral and Cardiovascular Center, Osaka, Japan
2 Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
3 Department of Clinical Medicine and Development, National Cerebral and Cardiovascular Center, Osaka, Japan
4 Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka, Japan
5 Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan, International University of Health and Welfare Graduate School, Narita, Japan





