Risk factors for the outcome after thrombolysis in acute ischemic stroke - the prominent role of kidney dysfunction: A retrospective cohort observational study

A complex interplay of factors reflecting the general biological, cardiovascular, neurological, renal, and metabolic status of patients influences the outcome of thrombolysis in stroke patients. This is a retrospective cohort observational study aimed to determine the importance of kidney dysfunction among these factors. Data (demographic, lifestyle, physical examination, laboratory, imaging, including metabolic and cardiovascular risk factors and comorbidities, neurological scores, and outcomes) of all stroke patients who underwent thrombolysis have been registered since January 1, 2016, in an online database. A total of 296 patients registered until December 31, 2020, were included in the study. The National Institutes of Health Stroke Scale, modified Rankin scale, Barthel index, percentage of hemorrhagic transformation, and in hospital death were used to evaluate the neurological status and outcomes of the patients. Regression analysis, Mann-Whitney test, Fisher exact test, logistic regression, and multivariate analysis were used for statistical analysis. Kidney dysfunction, as reflected by the estimated glomerular filtration rate, was associated with in hospital death and all but one of the neurological scores. Other risk factors most frequently associated with neurological scores were age, international normalized ratio, and cognitive decline. Multivariate analysis revealed estimated glomerular filtration rate (as determined by chronic kidney disease-EPI equation) as a determinant for all but one of these scores, and as the most important determinant for most of them, except for those reflecting the pre-intervention neurological status of the patient. Kidney dysfunction seems to be the most important determinant of the outcome of thrombolysed stroke patients, a result obtained by no other study.

Impact of Race-Adjusted Glomerular Filtration Rate Estimation on Eligibility for Simultaneous Liver-Kidney Transplantation

Estimated glomerular filtration rate (eGFR) is adjusted for Black race in commonly used formulas. This has potential implications for access to simultaneous liver-kidney transplantation (SLKT) as qualifying criteria rely on eGFR. We performed a retrospective study of United Network for Organ Sharing national transplant registry data between February 28, 2002, and March 31, 2019, to evaluate the proportion of Black patients who would be reclassified as meeting SLKT criteria (as defined per current policies) if race adjustment were removed from 2 prominent eGFR equations (Modification of Diet in Renal Disease-4 [MDRD-4] and Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI]). Of the 7937 Black patients listed for transplant during the study period, we found that 3.6% would have been reclassified as qualifying for chronic kidney disease (CKD)-related SLKT with removal of race adjustment for MDRD-4, and 3.0% would have been reclassified with CKD-EPI; this represented 23.7% and 18.7% increases in SLKT candidacy, respectively. Reclassification impacted women more than men (eg, 4.5% versus 3.0% by MDRD-4; P < 0.05). In an exploratory analysis, patients meeting SLKT criteria by race-unadjusted eGFR equations were significantly more likely to receive liver transplantation alone (LTA) compared with SLKT. Approximately 2.0% of reclassified patients required kidney transplantation within 1 year of LTA versus 0.3% of nonreclassified patients. In conclusion, race adjustment in eGFR equations may impact SLKT candidacy for 3.0% to 4.0% of Black patients listed for LTA overall. Approximately 2.0% of patients reclassified as meeting SLKT criteria require short-term post-LTA kidney transplantation. These data argue for developing novel algorithms for glomerular filtration rate estimation free of race to promote equity.

The relationship between estimated GFR based on the CKD-EPI formula and renal inulin clearance in potential kidney donors

It is not yet clear whether or not renal function in the living donor can be sufficiently assessed by estimated glomerular filtration rate (GFR) using creatinine-based equations. The present paper investigates the relationship between GFR values determined using renal inulin clearance (Cin) and those estimated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Our study was performed in 287 potential kidney donors with a mean age of 48 ± 10 years. Mean Cin was 1.47 ± 0.28 (1.10 - 2.50) mL/s/1.73 m2. Total bias when using the CKDEPI formula was -0.0183 mL/s/1.73 m2, precision 0.263 mL/s/1.73 m2, and accuracy 90.6% within ± 30% of Cin. The sensitivity of CKD-EPI to estimate a decrease in Cin below 1.33 mL/s/1.73 m2 was 50.5%, with an 85% specificity of detecting a value above the cutoff. Receiver-operating curve analysis for the above produced an area under the curve of 0.766 ± 0.0285 (CI 0.712 - 0.813). For donor screening purposes, CKD-EPI should be interpreted with great caution.

Impact of creatinine production on the agreement between glomerular filtration rate estimates using cystatin C-derived, and 4- and 6-variable Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations

BACKGROUND

It has recently been reported that patient selection has a strong impact on the agreement between glomerular filtration rate (GFR) estimates from serum cystatin C and creatinine. The aim of our study was to evaluate the effect of creatinine production rate (CPR) on this subject.

MATERIAL AND METHODS

GFR was estimated from serum cystatin C and from creatinine using the 4- and 6-variable Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in 50 healthy subjects, 43 patients with renal failure, 794 kidney and 104 liver transplant recipients, 61 patients with heart failure, 59 patients with biliary obstruction, and 113 critically ill patients.

RESULTS

In the 295 patients with impaired CPR (< 900 mg/24 h/1.73 m(2)), discordances of more than 40% between GFR(MDRD4) and GFR(cystatinC) were observed in 38% of cases, between GFR(MDRD6) and GFR(cystatinC) in 22%, and between GFR(CKD-EPI) and GFR(cystatinC) in 27% (in all cases due to GFR overestimation from creatinine). In the 929 patients with maintained CPR (> 900 mg/24 h/1.73 m(2)), greater discordances than 40% between GFR(MDRD4) and GFR(cystatinC) were observed in 8% of cases, between GFR(MDRD6) and GFR(cystatinC) in 9%, and between GFR(CKD-EPI) and GFR(cystatinC) in 7% (in the major part of cases due to GFR overestimation from cystatin C).

CONCLUSION

The main source of differences of more than 40% between GFR estimates from serum creatinine and cystatin C is a GFR overestimation in patients with low CPR and GFR underestimation in patients with high CPR by the creatinine-derived equations.