Increased Pretransplant Inflammatory Biomarkers Predict Death With Function After Kidney Transplantation

Author:

Lorenz Elizabeth C.1,Smith Byron H.2,Liang Yun3,Park Walter D.3,Bentall Andrew J.4,Dhala Atiya F.5,Waterman Amy D.5,Kennedy Cassie C.6,Hickson LaTonya J.7,Rule Andrew D.4,Cheville Andrea L.8,LeBrasseur Nathan K.8,Stegall Mark D.3

Affiliation:

1. Section of Nephrology, Baylor College of Medicine, Houston, TX.

2. Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.

3. Department of Surgery, Mayo Clinic, Rochester, MN.

4. Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN.

5. Department of Surgery, Houston Methodist Hospital, Houston, TX.

6. Division of Pulmonary, Critical Care, and Sleep Medicine, Mayo Clinic, Rochester, MN.

7. Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL.

8. Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN.

Abstract

Background. Chronic systemic inflammation is associated with mortality in patients with chronic kidney disease, cardiovascular disease, and diabetes. The goal of this study was to examine the relationship between pretransplant inflammatory biomarkers (growth differentiation factor-15 [GDF-15], interleukin-6 [IL-6], soluble tumor necrosis factor receptor-1, monokine induced by gamma interferon/chemokine [C-X-C motif] ligand 9 [MIG/CXCL9], monocyte chemoattractant protein-1, soluble FAS, tumor necrosis factor-α, interleukin-15, and interleukin-1β) and death with function (DWF) after kidney transplantation (KT). Methods. We retrospectively measured inflammatory biomarker levels in serum collected up to 1 y before KT (time from blood draw to KT was 130 ± 110 d) in recipients transplanted between January 2006 and December 2018. Kaplan-Meier estimation, Cox regression, and Gradient Boosting Machine modeling were used to examine the relationship between inflammatory biomarkers and DWF. Results. Our cohort consisted of 1595 KT recipients, of whom 62.9% were male and 83.2% were non-Hispanic White. Over a mean follow-up of 7.4 ± 3.9 y, 21.2% of patients (n = 338) experienced DWF. Patients with the highest quartile levels of GDF-15 (>4766 pg/mL), IL-6 (>6.11 pg/mL), and MIG/CXCL9 (> 5835 pg/mL) had increased rates of DWF, and each predicted mortality independently of the others. When adjusted for clinical factors (age, diabetes, etc), the highest quartile levels of GDF-15 and IL-6 remained independently associated with DWF. Adding inflammatory markers to a clinical Cox model improved the C-statistic for DWF from 0.727 to 0.762 using a Gradient Boosting Machine modeling approach. Conclusions. These findings suggest that pre-KT serum concentrations of GDF-15, IL-6, and MIG/CXCL9 may help to risk stratify and manage patients undergoing KT and suggests that chronic inflammation may play a role in mortality in KT recipients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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