Blood and Urine Biomarkers Predicting Worsening Kidney Function in Patients with Type 2 Diabetes Post-Acute Coronary Syndrome: An Analysis from the EXAMINE Trial

被引:4
|
作者
Ferreira, Joao Pedro [1 ,2 ]
Rossignol, Patrick [1 ]
Bakris, George [3 ]
Mehta, Cyrus [4 ]
White, William B. [5 ]
Zannad, Faiez [1 ]
机构
[1] Univ Lorraine, Ctr Invest Clin Plurithemat Inserm CIC P 1433, Inserm U1116,Inst Lorrain Coeur & Vaisseaux Louis, CHRU Nancy Hop Brabois,F CRIN INI CRCT Cardiovasc, Vandoeuvre Les Nancy, France
[2] Univ Porto, Cardiovasc Res & Dev Ctr, Dept Surg & Physiol, Fac Med, Porto, Portugal
[3] Univ Chicago, Amer Heart Assoc Comprehens Hypertens Ctr, Dept Med, Chicago, IL USA
[4] Cytel Corp, Cambridge, MA USA
[5] Univ Connecticut, Calhoun Cardiol Ctr, Sch Med, Farmington, CT USA
关键词
Kidney injury molecule 1; Worsening kidney function; Type; 2; diabetes; Acute coronary syndromes; Prognosis; INJURY MOLECULE-1; CARDIOVASCULAR OUTCOMES; HEART-FAILURE; DISEASE; INHIBITORS; MORTALITY; KIM-1;
D O I
10.1159/000519436
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Worsening kidney function (WKF) is frequent among patients with type 2 diabetes (T2D) and a recent acute coronary syndrome (ACS) and is associated with a poor prognosis. An accurate prediction of WKF is clinically important. Aims: Using data from the Cardiovascular Outcomes Study of Alogliptin in Patients with Type 2 Diabetes and Acute Coronary Syndrome trial including patients with T2D and a recent ACS, and a large biomarker panel incorporating proteins measured both in blood and urine, we aim to determine those with best performance for WKF prediction. Methods: WKF was defined as a >= 40% estimated glomerular filtration rate (eGFR) drop from baseline, eGFR <15 mL/min, or dialysis. Mixed-effects and time-updated Cox models were used. Results: 5,131 patients were included from whom 222 (4.3%) developed at least one WKF episode over a median follow-up of 18 months. Patients who developed WKF were more frequently women, had longer diabetes duration, a more frequent heart failure history, higher anemia prevalence, and impaired kidney function. In multivariable models including all variables (clinical and biomarkers) independently associated with WKF with a p value <= 0.0001, blood kidney injury molecule 1 (KIM-1) was (by far) the variable with strongest WKF association, followed by anemia. KIM-1 alone provided good discrimination for WKF prediction (area under the curve = 0.73). Patients in the high KIM-1-derived risk tertile had a 6.7-fold higher risk of any WKF than patients classified as low risk. In time-updated Cox models, the occurrence of WKF was independently associated with a higher risk of death: adjusted hazard ratio = 4.93 (3.06-7.96), p value <0.0001. Conclusion: Blood KIM-1 was the biomarker with the strongest association with WKF. The occurrence of WKF was independently associated with a higher risk of subsequent cardiovascular events and mortality. (C) 2021 S. Karger AG, Basel
引用
收藏
页码:969 / 976
页数:8
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