Clinical Nuclear Medicine · 2008 · 18 citations · 18 references
MedicineNephrologySurgeryKidney TransplantationRenal Nuclear MedicineTransplant SurgeryAllograft MonitoringGraft SurvivalImmunosuppression In Kidney TransplantationKidney Transplant EvaluationRenal DiseaseRenal Function TestsAllograft Survival AssessmentPerfusion IndexRenal Allograft Function DeclineRenal Dysfunction After TransplantRenal Dysfunction AssessmentRenal SurvivalSpearman Rank Correlation CoefficientTransplantation
PURPOSE: Serum creatinine (sCr) levels of >1.5mg/dL or >130 ummol/L at 1 year after renal transplantation were strongly predictive of long-term allograft survival. A Tc-99m MAG3 study with a Hilson's perfusion index (PI) is routinely performed on day 3 post-transplantation at Princess Alexandra Hospital, Australia. The predictive power of day 3 post-transplantation Hilson's PI for long-term sCr levels; and early sCr levels (at 1 or 3 months) to predict sCr levels at 12 months post-transplantation were studied. MATERIALS AND METHODS: One hundred eight patients receiving renal transplantation from April 2001 to March 2002 were retrospectively analyzed. sCr levels at 1, 3, and12 months, and 5 years after renal transplantation were recorded and compared with the day 3 post-transplantation Hilson's PI. RESULTS: Accuracy of 72% to 74%, and 90% sensitivity were recorded between Hilson's PIs and sCr levels up to 12-month post-transplantation. Spearman's correlation shows a significant relationship (R = 0.32-0.39, P = 0.00002-0.003). However, the association seems to have low specificity. A significant relationship was found for early sCr levels (at 1 or 3 months) to predict sCr levels at 12-month post-transplantation, with a Spearman correlation coefficient (R = 0.68-0.85, P < 0.000001). CONCLUSION: There is a strong relationship between the day 3 Hilson's PIs and serial sCr levels post-transplantation, and between the early sCr levels (1 and 3 months), and the 12 months sCr levels post-transplantation. A composite index integrating these 2 markers to predict long-term renal allograft survival remains to be investigated.
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Chronic allograft dysfunction: mechanisms and new approaches to therapy.
Karl L. Womer, John P. Vella, Mohamed H. Sayegh · PubMed · 2000 · 133 citations
Life Sciences, Immunology, Surgery +14