| Literature DB >> 31384452 |
María José Pérez-Sáez1,2, Bryant Yu1, Audrey Uffing1, Naoka Murakami1, Thiago J Borges1, Jamil Azzi1, Sandra El Haji1, Steve Gabardi1, Leonardo V Riella1.
Abstract
BACKGROUND: Conversion from tacrolimus to belatacept has been shown to be beneficial for an increasing number of kidney transplant (KT) patients. Predicting factors for favorable outcomes are still unknown. We aimed to investigate whether histological vascular lesions at the time of conversion might correlate with greater improvement in renal function post-conversion.Entities:
Keywords: creatinine clearance; immunosuppression; kidney transplantation; renal biopsy; tacrolimus
Year: 2018 PMID: 31384452 PMCID: PMC6671390 DOI: 10.1093/ckj/sfy115
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Baseline and demographic characteristics
| All patients ( | Absence of cv0–1 ( | Presence of cv2–3 ( | P-valuea | |
|---|---|---|---|---|
| Recipient characteristics | ||||
| Age, mean (SD) (years) | 49.5 (16.2) | 40.7 (12.5) | 57.3 (15.4) | 0.002 |
| Gender (female, %) | 38.2 | 31.3 | 44.4 | 0.332 |
| BMI [mean (SD)] | 29.5 (6) | 29.5 (5.9) | 29.6 (6.3) | 0.946 |
| Race (%) | ||||
| `Caucasian | 55.9 | 56.3 | 55.6 | 0.935 |
| African-American | 29.4 | 31.3 | 27.8 | |
| Hispanic | 14.7 | 12.5 | 16.7 | |
| Diabetes mellitus (%) | 17.6 | 6.3 | 27.8 | 0.116 |
| Cause of ESRD (%) | ||||
| Vascular | 2.9 | 0 | 5.6 | |
| Diabetic nephropathy | 11.8 | 6.3 | 16.7 | 0.597 |
| Glomerulonephritis | 50 | 62.5 | 38.9 | |
| Interstitial | 23.5 | 25 | 22.2 | |
| PKD | 5.9 | 0 | 11.1 | |
| Unknown | 5.9 | 6.3 | 5.6 | |
| Donor characteristics | ||||
| Age, mean (SD) (years) | 44.5 (14.9) | 34.8 (14.8) | 52.2 (9.8) | 0.001 |
| Type of donor (%) | ||||
| Standard criteria donor | 32.4 | 37.5 | 27.7 | 0.791 |
| Expanded criteria donor (KDPI >85%) | 11.8 | 6.3 | 16.6 | |
| Donor after cardiac death | 11.8 | 12.5 | 11.1 | |
| Living donor | 44.1 | 43.8 | 44.4 | |
| Transplant characteristics | ||||
| Patients with a previous KT (%) | 29.4 | 37.5 | 22.2 | 0.275 |
| Patients with a cPRA (Class I or II) > 30% (%) | 20.6 | 12.5 | 27.8 | 0.357 |
| Patients with pretransplant DSA (%) | 17.6 | 12.5 | 23.5 | 0.358 |
| Cold ischemia time, mean (range) (h) | 8.9 (0.3–25) | 7.7 (0.3–25) | 9.9 (0.8–20) | 0.295 |
| Induction IS (%) | ||||
| Basiliximab | 37.5 | 18.8 | 50 | 0.03 |
| Thymoglobulin | 62.5 | 81.3 | 50 | |
| Maintenance IS (%) | ||||
| Tacrolimus | 100 | 100 | 100 | 0.652 |
| Steroids | 88.2 | 87.5 | 88.2 | 0.591 |
| Mofetil mycophenolate | 91.2 | 87.5 | 94.1 | |
| Delayed graft function | 32.4 | 25 | 38.8 | 0.314 |
| Rejection pre-conversion (%) | ||||
| ACR | 0 | 0 | 0 | 0.559 |
| cABMR | 14.7 | 12.5 | 16.7 | |
| Post-transplant diabetes mellitus (%) | 14.7 | 12.5 | 16.7 | 0.559 |
| Conversion post-transplant | ||||
| Time of conversion, median (IQR) (months) | 6 (2–37.2) | 5 (2–20.5) | 11 (2.7–42) | 0.403 |
| eGFR at the time of conversion, mean (SD) (mL/min/1.73 m2) | 35.5 (20.2) | 40.4 (22.8) | 31 (17.1) | 0.181 |
| Reason for conversion (%) | ||||
| Biopsy-related | 26.5 | 37.5 | 16.7 | |
| Acute tubular injury | 14.7 | 25 | 5.6 | 0.260 |
| Glomerular hypoperfusion | 35.3 | 18.8 | 50 | |
| Chronic vascular damage | 5.9 | 0 | 11.1 | |
| Thrombotic microangiopathy | ||||
| Patient-related | 5.9 | 6.3 | 5.6 | |
| Lack of adherence to tacrolimus | 5.9 | 6.3 | 5.6 | |
| Clinical side effect of tacrolimus | ||||
| Tacrolimus trough at the time of conversion, mean (SD) (ng/mL) | 5.9 (2.9) | 6 (3.6) | 5.7 (2.3) | 0.742 |
| Maintenance IS (%) | ||||
| Steroids | 91.2 | 87.5 | 94.1 | 0.591 |
| Mofetil mycophenolate | 91.2 | 87.5 | 94.1 | 0.591 |
| Acute rejection post-conversion (%) | 26.5 | 25 | 27.7 | 0.311 |
| Follow-up | ||||
| Time of follow-up, median (IQR) (months) | 26.5 (18–36.5) | 31 (18–37.5) | 25 (21–35.7) | 0.851 |
Analysis between patients with and without cv.
BMI, body mass index; ESRD, end-stage renal disease; PKD, polycystic kidney disease; KDPI, kidney donor profile index; cABMR, chronic antibody mediated rejection.
Evolution of eGFR between patients with and without cv converted to belatacept
| eGFR, mean (SD) (mL/min/1.73 m2) | |||
|---|---|---|---|
| Baseline | 3 months | 12 months | |
| All patients ( | 35.4 (20.2) | 41 (19) | |
| cv0–1 ( | 40.4 (22.7) | 43.6 (19.8) | |
| cv2–3 ( | 31 (17) | 38.7 (18.7) | |
| Patients at 12 months ( | 36 (20.7) | 43.7 (17.4) | |
| cv0–1 ( | 40.9 (23.4) | 47.7 (14.7) | |
| cv2–3 ( | 31.6 (17.4) | 40.2 (19.1) | |
Two patients were lost to follow-up between 3 and 12 months after conversion.
P < 0.05.
Clinical outcomes after belatacept conversion
| Pre-conversion | Post-conversion | P-value | |
|---|---|---|---|
| UPCR, median (IQR) (g/g) | 0.6 (0.2–1.4) | 0.4 (0.2–0.6) | 0.455 |
| Non-fasting blood glucose, mean (SD) (mg/dL) | 118.5 (35.9) | 120.9 (50.3) | 0.772 |
| SBP, mean (SD) | 135 (13.8) | 133.3 (17.5) | 0.671 |
| DBP, mean (SD) | 78 (10.5) | 75.6 (9.6) | 0.315 |
| No. of antihypertensive drugs, median (IQR) | 1 (1–3) | 2 (0.75–3) | 0.417 |
UCPR, urine protein/creatinine ratio; SBP, systolic blood pressure; DBP, diastolic blood pressure, No., number.