Predictive performance of different kidney function estimation equations in lung transplant patients.

Area of Science:

• Nephrology
• Pulmonology
• Transplant Medicine

Background:

• Limited data exists on glomerular filtration rate estimation (eGFR) equation performance in lung transplant recipients.
• Accurate GFR measurement is vital for managing end-stage lung disease and post-transplant care.

Purpose of the Study:

• To compare serum creatinine and cystatin C-based eGFR equations against Tc-99m DTPA GFR measurements.
• To evaluate eGFR equation performance in lung transplant candidates and recipients.

Main Methods:

• Prospective observational study involving 97 participants (pre- and post-lung transplant).
• GFR measured using Tc-99m Pentetate (radionuclide GFR).
• Compared measured GFR with estimates from MDRD, Cockcroft-Gault, CKD-EPI creatinine, CKD-EPI cystatin C, and CKD-EPI creatinine-cystatin C equations.

Main Results:

• The CKD-EPI creatinine-cystatin C equation demonstrated the highest overall performance.
• Creatinine-based equations showed unacceptable performance in subgroups with cystic fibrosis, low arm muscle mass, or low BMI.
• CKD-EPI cystatin C and combined equations improved GFR estimation in these specific subgroups.

Conclusions:

• CKD-EPI creatinine equation is adequate for the general lung transplant cohort but not for specific subgroups.
• Cystatin C-based equations, particularly the combined CKD-EPI creatinine-cystatin C, are preferable for patients with cystic fibrosis or low body mass.
• This highlights the need for tailored GFR estimation in diverse lung transplant populations.