Growth differentiation factor-15 predicts major adverse cardiac events and all-cause mortality in patients with atrial fibrillation

被引:16
作者
Nopp, Stephan [1 ]
Koenigsbruegge, Oliver [1 ]
Kraemmer, Daniel [1 ]
Pabinger, Ingrid [1 ]
Ay, Cihan [1 ]
机构
[1] Med Univ Vienna, Dept Med 1, Clin Div Haematol & Haemostaseol, Waehringer Guertel 18-20, A-1090 Vienna, Austria
关键词
Atrial fibrillation; Biomarkers; Growth Differentiation Factor 15; Mortality; Prognosis; RISK STRATIFICATION; CARDIOVASCULAR EVENTS; HEART-FAILURE; DISEASE; MARKER; BIOMARKER; STROKE; ANTICOAGULATION; APIXABAN; WARFARIN;
D O I
10.1016/j.ejim.2021.02.011
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Growth-differentiation factor-15 (GDF-15) has recently been described as a potential biomarker for predicting risk of mortality and cardiovascular events in patients with atrial fibrillation (AF) but requires validation in clinical practice. Methods: The study population consisted of 362 patients (mean age: 71 years, 37% women) with non-valvular AF included in a prospective cohort study. Relationship of GDF-15 with all-cause mortality and major adverse cardiac events (MACE) was analyzed using Cox regression. Survival analysis stratified by GDF-15 was based on national death records, while MACE was recorded at personal follow-up. Further, we evaluated the recently developed GDF-15 based prognostic score towards prediction of all-cause mortality (ABC-death score). Results: Over a median observation period of 4.3 years, 81 (23.3%) patients died, and over a median personal follow-up of 316 days 47 MACE occurred. GDF-15 was independently associated with all-cause mortality (adjusted HR per double increase 2.33, 95%CI 1.74-3.13) and MACE (adjusted HR per double increase 2.33, 95% CI 1.60-3.39). GDF-15 levels, measured at follow-up, were similarly associated with mortality, and longitudinal measurements of GDF-15 did not significantly differ. Six-year survival probability of patients above vs. below the median GDF-15 level was 44% (95%CI 34-57) and 84% (95%CI 76-93), respectively. The ABC-death score revealed a C-statistic of 0.80. Conclusion: GDF-15 predicts risk of all-cause mortality and MACE in patients with non-valvular AF. Further, the ABC-death score showed good predictive accuracy in a "real-world" cohort. Therefore, introduction of GDF15 into clinical practice would enhance risk prediction of morbidity and mortality in AF patients.
引用
收藏
页码:35 / 42
页数:8
相关论文
共 34 条
[1]   Simple Plex™ : A Novel Multi-Analyte, Automated Microfluidic Immunoassay Platform for the Detection of Human and Mouse Cytokines and Chemokines [J].
Aldo, Paulomi ;
Marusov, Gregory ;
Svancara, Danielle ;
David, James ;
Mor, Gil .
AMERICAN JOURNAL OF REPRODUCTIVE IMMUNOLOGY, 2016, 75 (06) :678-693
[2]   Serial Measurement of Growth-Differentiation Factor-15 in Heart Failure Relation to Disease Severity and Prognosis in the Valsartan Heart Failure Trial [J].
Anand, Inder S. ;
Kempf, Tibor ;
Rector, Thomas S. ;
Tapken, Heike ;
Allhoff, Tim ;
Jantzen, Franziska ;
Kuskowski, Michael ;
Cohn, Jay N. ;
Drexler, Helmut ;
Wollert, Kai C. .
CIRCULATION, 2010, 122 (14) :1387-+
[3]   Performance of the ABC Scores for Assessing the Risk of Stroke or Systemic Embolism and Bleeding in Patients With Atrial Fibrillation in ENGAGE AF-TIMI 48 [J].
Berg, David D. ;
Ruff, Christian T. ;
Jarolim, Petr ;
Giugliano, Robert P. ;
Nordio, Francesco ;
Lanz, Hans J. ;
Mercuri, Michele F. ;
Antman, Elliott M. ;
Braunwald, Eugene ;
Morrow, David A. .
CIRCULATION, 2019, 139 (06) :760-771
[4]   Growth Differentiation Factor-15 and Risk of Recurrent Events in Patients Stabilized After Acute Coronary Syndrome Observations From PROVE IT-TIMI 22 [J].
Bonaca, Marc P. ;
Morrow, David A. ;
Braunwald, Eugene ;
Cannon, Christopher P. ;
Jiang, Songtao ;
Breher, Stephanie ;
Sabatine, Marc S. ;
Kempf, Tibor ;
Wallentin, Lars ;
Wollert, Kai C. .
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, 2011, 31 (01) :203-210
[5]   Accuracy of HAS-BLED and other bleeding risk assessment tools in predicting major bleeding events in atrial fibrillation: A network meta-analysis [J].
Chang, Guodong ;
Xie, Qiufen ;
Ma, Lingyue ;
Hu, Kun ;
Zhang, Zhuo ;
Mu, Guangyan ;
Cui, Yimin .
JOURNAL OF THROMBOSIS AND HAEMOSTASIS, 2020, 18 (04) :791-801
[6]   CHADS2 versus CHA2DS2-VASc score in assessing the stroke and thromboembolism risk stratification in patients with atrial fibrillation: a systematic review and meta-analysis [J].
Chen, Jia-Yuan ;
Zhang, Ai-Dong ;
Lu, Hong-Yan ;
Guo, Jun ;
Wang, Fei-Fei ;
Li, Zi-Cheng .
JOURNAL OF GERIATRIC CARDIOLOGY, 2013, 10 (03) :258-266
[7]   Dabigatran versus Warfarin in Patients with Atrial Fibrillation. [J].
Connolly, Stuart J. ;
Ezekowitz, Michael D. ;
Yusuf, Salim ;
Eikelboom, John ;
Oldgren, Jonas ;
Parekh, Amit ;
Pogue, Janice ;
Reilly, Paul A. ;
Themeles, Ellison ;
Varrone, Jeanne ;
Wang, Susan ;
Alings, Marco ;
Xavier, Denis ;
Zhu, Jun ;
Diaz, Rafael ;
Lewis, Basil S. ;
Darius, Harald ;
Diener, Hans-Christoph ;
Joyner, Campbell D. ;
Wallentin, Lars .
NEW ENGLAND JOURNAL OF MEDICINE, 2009, 361 (12) :1139-1151
[8]   Growth Differentiation Factor 15, Its 12-Month Relative Change, and Risk of Cardiovascular Events and Total Mortality in Patients with Stable Coronary Heart Disease: 10-Year Follow-up of the KAROLA Study [J].
Dallmeier, Dhayana ;
Brenner, Hermann ;
Mons, Ute ;
Rottbauer, Wolfgang ;
Koenig, Wolfgang ;
Rothenbacher, Dietrich .
CLINICAL CHEMISTRY, 2016, 62 (07) :982-992
[9]   Growth-Differentiation Factor-15 Is a Robust, Independent Predictor of 11-Year Mortality Risk in Community-Dwelling Older Adults The Rancho Bernardo Study [J].
Daniels, Lori B. ;
Clopton, Paul ;
Laughlin, Gail A. ;
Maisel, Alan S. ;
Barrett-Connor, Elizabeth .
CIRCULATION, 2011, 123 (19) :2101-2110
[10]   Selecting patients with atrial fibrillation for anticoagulation - Stroke risk stratification in patients taking aspirin [J].
Gage, BF ;
van Walraven, C ;
Pearce, L ;
Hart, RG ;
Koudstaal, PJ ;
Petersen, P .
CIRCULATION, 2004, 110 (16) :2287-2292