Mour, Girish

Introduction Clonal hematopoiesis (CH) in solid organ transplant (SOT) recipients can lead to impaired tolerance to immunosuppressive therapy, increased risk for complications, and potentially compromise graft and patient outcomes. The impact of mutational profile in CH on risk for hematological transformation and patient/graft outcomes for kidney transplant (KT) recipients is largely unknown. Our aim was to assess the prevalence of CH and progression of CH in KT, evaluate the impact of CH on allograft function, assess patient outcomes and determine Clonal Hematopoietic Risk Score status. Methods We retrospectively reviewed the CH profile of patients 18+ years of age who received a kidney transplant at Mayo Clinic Enterprise between 01/01/1994-12-31/2022 and underwent bone marrow biopsy with aspirate pre- and/or post-transplant. Bone marrow biopsies were primarily performed post-transplant in the workup for cytopenias. Transplant database was used to collect our variables of interest including post-transplant malignancy and outcomes. CH was ascertained through next-generation sequencing (NGS) on bone marrow samples. A 47-gene panel was utilized in our study. CH was defined by presence of somatic mutation with a variant allele frequency of > 2.0%. CH in absence of cytopenias was classified as CHIP while CH in individuals with one or more cytopenias was classified as clonal cytopenias of undetermined significant (CCUS). The Clonal Hematopoiesis Risk Score (CHRS) was utilized for CHIP and CCUS risk stratification We excluded the patients who had a prior hematologic malignancy. Results 305 kidney transplant recipients met our study criteria. The median time to follow up, defined as time from transplant until first bone marrow biopsy with evidence of CH, was 46.1 months. The frequency of CH in kidney recipients was 27/305 (9.0%), of these 14/27 (52%) patients were found to have CCUS and 10/27 (37%) were found to have evidence of post-transplant myeloid malignancy. Of these cases, 5/10 (50%) developed acute myeloid leukemia while 5/10 (50%) developed myelodysplastic syndrome. Both CCUS and myeloid neoplasms were more common in female patients, accounting for 8/14 (57%) and 7/13 (54%) of each cohort, respectively. Amongst CCUS, the most frequent mutations were seen in ASXL1, DNMT3A and TET2. More than half of patients with CH, 14/27 (52%), exhibited mutations in 2 or more genes. Meanwhile, in cases of myeloid malignancy, the commonly mutated genes were ASXL1 and TP53, seen in 3/10 and 3/10 cases, respectively. The CCUS risk status was intermediate, with median score of 11.8 (range 9.5-14). One CCUS patient transformed to myelodysplastic syndrome. The time to progression from CCUS to myelodysplastic syndrome was 14.3 months and their respective CHRS status was determined to be high-risk. Infectious complications, including viral and opportunistic infections, were seen in 12/27 (44%) recipients with CH, with CMV viremia being the most common, followed by BK viremia. In this cohort, post-transplant cardiovascular events and venous thromboembolic events occurred in 2/27 (7.0%) and 7/27 (26%) patients, respectively. Allograft failure was seen in 17/27 (63%) recipients at a median of 93.4 months post-transplant. After a median of 122 months, there were 14/27 (52%) deaths at a median duration of 93.4 months post-transplant. Causes of mortality included myeloid malignancy, infection, cardiovascular complications, end-stage renal disease or were unknown. Conclusions Renal transplant recipients carry mutations in epigenetic regulators resulting in adverse outcomes. Similar to the general population, DNMT3A, TET2 and ASXL1 mutations were the most common mutations in post-transplant CCUS. Infections, cardiovascular events, and allograft failure were frequent. Prospective studies in a larger cohort are needed to evaluate the impact of CCUS in survival and myeloid malignancy transformation risk.

ABSTRACTCellular senescence is a biological mechanism of aging and age‐related diseases. The aim of this study was to examine whether senescence biomarkers are associated with frailty and physical function trajectories in patients undergoing kidney transplantation (KT). We also discussed the relationship between senescence biomarkers and KT function. In this multicenter study, we prospectively assessed plasma levels of senescence biomarkers, frailty as measured by the Physical Frailty Phenotype, and physical function as measured by the Short Physical Performance Battery prior to KT. Frailty, physical function, and KT function were also measured 1 year after KT. Variable associations were assessed using Cox and relaxed least absolute shrinkage and selection operation regression. The cohort consisted of 197 participants (mean age 53 ± 13 years, 61.4% male, and 80.2% White race). Higher pre‐KT levels of macrophage‐derived chemokine (MDC/CCL22) and growth differentiation factor‐15 (GDF‐15) were independently associated with less improvement in frailty and/or physical function during the first year after KT. Higher pre‐KT levels tumor necrosis factor receptor superfamily member 6 (FAS) and MMP‐9 levels were independently associated with lower KT function one year after KT. Pre‐KT cellular senescence may contribute to frailty, physical function, and kidney function trajectories during the first year after KT.

ABSTRACTBackgroundAdenovirus (ADV) infection can lead to significant morbidity and mortality in immunocompromised patients, particularly in those with hematopoietic stem cells or solid organ transplants. The incidence of ADV infection in kidney transplant (KT) is not well‐defined as ADV is often asymptomatic and not routinely checked.MethodsThis retrospective case‐series study included KT and simultaneous pancreas‐KT (SPKT) recipients from January 1, 2008, to January 31, 2024, across three Mayo Clinic sites (Arizona, Florida, and Minnesota) with symptomatic adenovirus polymerase chain reaction cases. The primary outcomes were allograft function at various intervals post‐ADV infection, allograft, and patient survival.ResultsWe report one of the largest multi‐site case series regarding outcomes of ADV in KT with 17 patients. The median time to ADV infection was 30 weeks (5–74). Five patients (29%) developed disseminated infection. Nine patients (53%) of the entire cohort experienced graft loss within a median of 35 (4–168) weeks, with four (44%) of graft loss attributed to ADV. Nine patients (53%) developed rejections post‐ADV infection with a median of 4 (2–8) weeks after resolution. One patient died from acute hypoxic respiratory failure from ADV infection.ConclusionADV should be considered in KT/SPKT patients with renal dysfunction, hematuria, and with or without fever. Despite the low mortality rate, there is a significant risk of graft loss and rejection after ADV infection. It is crucial to screen for ADV and develop intervention strategies for treatment. Further multicenter studies are needed to better define, stage, and manage ADV infection. image

Introduction: Pulmonary hypertension (PHTN) is common in patients with chronic kidney disease (CKD), however categorization as precapillary or postcapillary is challenging due to the need for invasive right heart catheterization (RHC). Studies have validated transthoracic echocardiography (TTE) to characterize PHTN and ECG-artificial intelligence (AI) to predict diastolic dysfunction risk. The utility of these noninvasive tools in patients with CKD is unknown. Methods: Retrospective analysis of patients with end stage CKD who underwent RHC between 2011 and 2021. Patients with PHTN (pulmonary artery pressure >20mmHg on RHC) were categorized as having precapillary (pulmonary capillary wedge pressure, PCWP, ≤15mmHg and pulmonary vascular resistance, PVR, >2WU) or postcapillary PHTN (PCWP >15mmHg and PVR ≤2WU for isolated postcapillary or PVR >2WU for combined). TTE and ECG within 3 months of RHC were obtained. TTE measurements were used to calculate ePLAR (echocardiographic pulmonary to left atrial ratio); tricuspid regurgitant peak velocity (TRV max ) divided by mitral E/e’. ECGs were analyzed with an AI risk tool for diastolic dysfunction (score 0-3, increasing with increasing risk). Receiver operating curves (ROC) evaluated the performance of these tests. Results: 60 patients were included; 16 (27%) with precapillary and 44 (73%) with postcapillary PHTN. ROC analysis found good accuracy for both ECG-AI diastolic dysfunction risk score to predict precapillary PHTN with AUC 0.724 (sensitivity=60% and specificity=88% for an ECG score value ≤1) and ePLAR with AUC 0.715 (sensitivity=75% and specificity=70% for ePLAR >0.17m/sec). Highest accuracy for detection of precapillary PHTN was reached by combination of ePLAR and ECG-AI tool, with AUC 0.756 (sensitivity=73%, accuracy of 86% for a value ≤1.17). Conclusions: ECG-AI generated diastolic risk score of 0-1 (low risk) and high ePLAR showed good accuracy in characterizing precapillary PHTN in patients with end stage CKD. The combination of these noninvasive tools further increased the diagnostic accuracy, reflecting its potential utility in classification of patients with CKD and PHTN, a crucial determinant of the ideal therapeutic plan in kidney transplant candidates.

Background: New-onset atrial fibrillation (AF) is common among kidney transplant (KTx) recipients and is associated with reduced patient survival. Predictors of AF after KTx are not well understood, although AF can be associated with traditional and non-traditional risk factors. While artificial intelligence-enabled electrocardiography (AI-ECG) has shown promise in predicting incident AF, its predictive and prognostic implications in the KTx population have not yet been evaluated. Hypothesis: AI-ECG can predict new-onset AF and carries prognostic implications in patients undergoing KTx. Aims: To evaluate the clinical implications of applying AI-ECG to the preoperative ECGs of recipients of a KTx. Methods: Patients without a history of AF who underwent KTx at three referral centers between 2011 and 2021, with at least one preoperative ECG, were included in this retrospective study. Preoperative ECGs were analyzed using a previously developed AI-ECG algorithm to estimate the probabilities of new-onset AF. Based on these probabilities, patients were categorized into two groups: high and low probability of incident AF. The optimal cut-off value for the AI-ECG tool was determined using ROC analysis. The incidence of new-onset AF and mortality at 5 years post KTx were compared between these two groups using univariate and multivariate Cox regression analyses. Results: In total, 6246 patients were included (mean age 52.9 ±14.3 years, 58.7% males). A pre-transplant AI-ECG probability of AF >10% was identified as the most accurate cutoff point to distinguish between patients at low risk and high risk of incident AF (ROC = 0.72). The study found that a preoperative AI-ECG high risk of AF demonstrated not only a strong association with new-onset AF (HR 2.54, 95%CI 2.02-3.19, p<0.001 on multivariable analysis, Figure 1A ) but was also associated with an increased risk of mortality both on univariate (HR 2.73, 95%CI 2.34-3.18, p<0.001) and multivariate (HR 1.57, 95%CI 1.29-1.91, p<0.001 ) analysis at 5-year follow-up ( Figure 1B ). Conclusion: The application of AI-ECG to a single widely available test may help assess the risk of new-onset AF and mortality in patients undergoing KTx. Accurate risk stratification may identify a high-risk subgroup of transplant recipients who can benefit from closer AF monitoring, risk factor modification, and early management.

The Hispanic population of the United States is the second largest racial or ethnic group, comprising 18.7% of the population. However, this population is incredibly heterogeneous differing in genetic traits, cultural upbringing, educational backgrounds, and financial status. The impact of this heterogeneity on the prevalence and outcomes of renal disease and kidney transplantation is understudied compared with non-Hispanic White and Black populations. What is known appears to be underrecognized. This review aims to critically assess current medical literature on Hispanic individuals, focusing on etiological factors, disease progression, and outcomes related to CKD and kidney transplantation. By doing so, we aim to underscore key areas for further in-depth investigation.

ABSTRACTPerformance‐based measures of frailty are associated with healthcare utilization after kidney transplantation (KT) but require in‐person assessment. A promising alternative is self‐reported frailty. The goal of this study was to examine the ability of performance‐based and self‐reported frailty measures to predict 30‐day rehospitalizations after KT. We conducted a prospective, observational cohort study involving 272 adults undergoing KT at Mayo Clinic in Minnesota, Florida, or Arizona. We simultaneously measured frailty before KT using the physical frailty phenotype (PFP), the short physical performance battery (SPPB), and self‐report (the Patient‐Reported Outcomes Measurement Information System [PROMIS] 4‐item physical function short form v2.0). Both the PFP and self‐reported frailty were independently associated with more than a 2‐fold greater odds of 30‐day rehospitalizations, while the SPPB was not. To our knowledge, this is the first study to assess the prognostic value of all three of the above frailty measures in patients undergoing KT. The PFP is more prognostic than the SPPB when assessing the risk of 30‐day rehospitalizations; self‐reported frailty can complement the PFP but not replace it. However, the 4‐item survey assessing self‐reported frailty represents a simple way to identify patients undergoing KT surgery who would benefit from interventions to lower the risk of rehospitalizations.