Importance Type 2 diabetes increases the risk of progressive diabetic kidney disease, but reliable prediction tools that can be used in clinical practice and aid in patients’ understanding of disease progression are currently lacking. Objective To develop and externally validate a model to predict future trajectories in estimated glomerular filtration rate (eGFR) in adults with type 2 diabetes and chronic kidney disease using data from 3 European multinational cohorts. Design, Setting, and Participants This prognostic study used baseline and follow-up information collected between February 2010 and December 2019 from 3 prospective multinational cohort studies: PROVALID (Prospective Cohort Study in Patients with Type 2 Diabetes Mellitus for Validation of Biomarkers), GCKD (German Chronic Kidney Disease), and DIACORE (Diabetes Cohorte). A total of 4637 adult participants (aged 18-75 years) with type 2 diabetes and mildly to moderately impaired kidney function (baseline eGFR of ≥30 mL/min/1.73 m 2 ) were included. Data were analyzed between June 30, 2021, and January 31, 2023. Main Outcomes and Measures Thirteen variables readily available from routine clinical care visits (age, sex, body mass index; smoking status; hemoglobin A 1c [mmol/mol and percentage]; hemoglobin, and serum cholesterol levels; mean arterial pressure, urinary albumin-creatinine ratio, and intake of glucose-lowering, blood-pressure lowering, or lipid-lowering medication) were selected as predictors. Repeated eGFR measurements at baseline and follow-up visits were used as the outcome. A linear mixed-effects model for repeated eGFR measurements at study entry up to the last recorded follow-up visit (up to 5 years after baseline) was fit and externally validated. Results Among 4637 adults with type 2 diabetes and chronic kidney disease (mean [SD] age at baseline, 63.5 [9.1] years; 2680 men [57.8%]; all of White race), 3323 participants from the PROVALID and GCKD studies (mean [SD] age at baseline, 63.2 [9.3] years; 1864 men [56.1%]) were included in the model development cohort, and 1314 participants from the DIACORE study (mean [SD] age at baseline, 64.5 [8.3] years; 816 men [62.1%]) were included in the external validation cohort, with a mean (SD) follow-up of 5.0 (0.6) years. Updating the random coefficient estimates with baseline eGFR values yielded improved predictive performance, which was particularly evident in the visual inspection of the calibration curve (calibration slope at 5 years: 1.09; 95% CI, 1.04-1.15). The prediction model had good discrimination in the validation cohort, with the lowest C statistic at 5 years after baseline (0.79; 95% CI, 0.77-0.80). The model also had predictive accuracy, with an R 2 ranging from 0.70 (95% CI, 0.63-0.76) at year 1 to 0.58 (95% CI, 0.53-0.63) at year 5. Conclusions and Relevance In this prognostic study, a reliable prediction model was developed and externally validated; the robust model was well calibrated and capable of predicting kidney function decline up to 5 years after baseline. The results and prediction model are publicly available in an accompanying web-based application, which may open the way for improved prediction of individual eGFR trajectories and disease progression.
Kidney transplant recipients who are at increased risk for COVID-19 infection and associated morbidity and mortality have been shown to be prone to an impaired humoral immune response to a standard vaccination schedule against COVID-19 with two doses of SARS-CoV-2 mRNA vaccines. In this study, response rate of 94 kidney transplant recipients without detectable seroconversion after two doses of a mRNA vaccine who were offered a timely third mRNA vaccine after completion of the standard vaccination schedule was retrospectively analyzed. After a median of 28 days, antibody titers against the S1 spike protein showed a non-response rate of 53%. No significant risk factors for non-response could be identified. The responders showed a high variation in antibody titers (median 73.9 BAU/mL, IQR 221.5). In conclusion, a third booster mRNA vaccine in non-responding kidney transplant recipients leads to a detectable humoral immune response in approximately half of the patients. In the seroconversion group, antibody titers were highly variable, indicating that even non-responders to the standard vaccination schedule might develop a significant humoral immune response after a timely booster vaccine.
beta 2-Microglobulin (beta 2m) has been identified as the major constituent of dialysis-related amyloid. Although there is no clear correlation between absolute beta 2m levels and amyloidosis-related symptoms, elevated serum levels are thought to be the basis for tissue deposition of beta 2m. Besides diminished renal excretion and insufficient removal during hemodialysis, a dialysis-related induction of beta 2m production is discussed as the major cause of elevated serum beta 2m levels. In order to evaluate the influence of hemodialysis membranes and the hemodialysis procedure on beta 2m levels we determined serum beta 2m levels in patients on chronic intermittent hemodialysis. Polymethylmethacrylate 2.0 m2, cuprophane and cellulose acetate dialyzers led to increasing beta 2m levels during dialysis, which was in excess of what could be accounted for by hemoconcentration. The polymethylmethacrylate 1.6 m2 dialyzer did not result in a significant rise of beta 2m levels during dialysis. This indicates that production of beta 2m is not only dependent on the membrane material but also on the surface area of the dialyzer. The use of polysulfone and hemophane low-flux dialyzers did not induce an increase in beta 2m levels during dialysis but a significant clearance of beta 2m was not demonstrable either. Volume-controlled dialysis with high-flux membranes (polysulfone 0.65 m2 and polysulfone 1.25 m2) lowered beta 2m; clearance values, however, were significantly higher when these dialyzers were used in a hemodiafiltration procedure. We conclude from our study that some dialysis membranes appear to induce beta 2m production, whereas others do not.(ABSTRACT TRUNCATED AT 250 WORDS)
Primary membranous nephropathy (MN) is the leading cause of nephrotic syndrome in adults. Discovery of several antibodies has contributed to an increased understanding of MN. Antibodies against the M-type phospholipase A2 receptor (PLA2R) are present in 50–100% with primary MN and are associated with a lower frequency of spontaneous remission. High levels are linked with a higher probability of treatment resistance, higher proteinuria, and impaired renal function, as well as a more rapid decline of kidney function during follow-up. Immunologic remission precedes reduction of proteinuria by months. Pretransplant evaluation of PLA2R antibodies is warranted to predict recurrence of disease following renal transplantation. Several risk alleles related to the PLA2R1 gene and within the HLA loci have been identified, whereas epitope spreading of PLA2R may predict treatment response. More recently, thrombospondin type 1 domain-containing 7A (THSD7A) antibodies have been discovered in primary MN. Several other rare antigens have been described, including antibodies against neutral endopeptidase as a cause of antenatal MN and circulating cationic bovine serum albumin as an antigen with implications in childhood MN. This review focuses on the progress with a special focus on diagnostic accuracy, predictive value, and treatment implications of the established and proposed antigens.
Immunoglobulin A nephropathy (IgAN) frequently leads to kidney failure. The urinary proteomics-based classifier IgAN237 may predict disease progression at the time of kidney biopsy. We studied whether IgAN237 also predicts progression later in the course of IgAN.Urine from patients with biopsy-proven IgAN was analyzed using capillary electrophoresis-mass spectrometry at baseline (IgAN237-1, n = 103) and at follow-up (IgAN237-2, n = 89). Patients were categorized as "non-progressors" (IgAN237 ≤0.38) and "progressors" (IgAN237 >0.38). Estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio slopes were calculated.Median age at biopsy was 44 years, interval between biopsy and IgAN237-1 was 65 months and interval between IgAN237-1 and IgAN237-2 was 258 days (interquartile range 71-531). IgAN237-1 and IgAN237-2 values did not differ significantly and were correlated (rho = 0.44, P < .001). Twenty-eight percent and 26% of patients were progressors based on IgAN237-1 and IgAN237-2, respectively. IgAN237 inversely correlated with chronic eGFR slopes (rho = -0.278, P = .02 for score-1; rho = -0.409, P = .002 for score-2) and with ±180 days eGFR slopes (rho = -0.31, P = .009 and rho = -0.439, P = .001, respectively). The ±180 days eGFR slopes were worse for progressors than for non-progressors (median -5.98 versus -1.22 mL/min/1.73 m2 per year for IgAN237-1, P < .001; -3.02 vs 1.08 mL/min/1.73 m2 per year for IgAN237-2, P = .0047). In multiple regression analysis baseline progressor/non-progressor according to IgAN237 was an independent predictor of eGFR180days-slope (P = .001).The urinary IgAN237 classifier represents a risk stratification tool in IgAN also later in the course of the dynamic disease. It may guide patient management in an individualized manner.
Objective Real-life management of patients with hypertension and chronic kidney disease (CKD) among European Society of Hypertension Excellence Centres (ESH-ECs) is unclear : we aimed to investigate it. Methods A survey was conducted in 2023. The questionnaire contained 64 questions asking ESH-ECs representatives to estimate how patients with CKD are managed. Results Overall, 88 ESH-ECS representatives from 27 countries participated. According to the responders, renin-angiotensin system (RAS) blockers, calcium-channel blockers and thiazides were often added when these medications were lacking in CKD patients, but physicians were more prone to initiate RAS blockers (90% [interquartile range: 70–95%]) than MRA (20% [10–30%]), SGLT2i (30% [20–50%]) or (GLP1-RA (10% [5–15%]). Despite treatment optimisation, 30% of responders indicated that hypertension remained uncontrolled (30% (15–40%) vs 18% [10%–25%]) in CKD and CKD patients, respectively). Hyperkalemia was the most frequent barrier to initiate RAS blockers, and dosage reduction was considered in 45% of responders when kalaemia was 5.5–5.9 mmol/L. Conclusions RAS blockers are initiated in most ESH-ECS in CKD patients, but MRA and SGLT2i initiations are less frequent. Hyperkalemia was the main barrier for initiation or adequate dosing of RAS blockade, and RAS blockers' dosage reduction was the usual management.
Abstract Aim Type II Diabetes mellitus (T2DM) accounts for approximately 90% of all DM cases in the world; and is diagnosed with increased levels of blood glucose or hyperglycemia. Glucagon-like peptide-1 receptor (GLP-1R) agonists have established an increased capability to target directly or indirectly six core defects associated with T2DM, while, the underlying molecular mechanisms of these pharmacological effects are not fully known. This exploratory study was conducted to analyze the effect of treatment with GLP-1R agonists on the urinary peptidome of T2DM patients. Material and Methods Urine samples of thirty-two T2DM patients from the PROVALID study (A Prospective Cohort Study in Patients with T2DM for Validation of Biomarkers) were collected at pre- and post-treatment with GLP-1R agonist drugs, and analyzed by capillary electrophoresis coupled to mass spectrometry (CE-MS). Results In total, 329 urinary peptides were identified, of which 70 were significantly affected by the GLP-1R agonist treatment; fragmenting from 26 different proteins. The downregulation of MMP proteases, based on the concordant downregulation of urinary collagen peptides with GLP-1R agonist treatment was highlighted in the study. Treatment also resulted in the downregulation of peptides from SERPINA1, APOC3, CD99, CPSF6, CRNN, SERPINA6, HBA2, MB, VGF, PIGR and TTR, many of which were previously found associated with increased kidney and/or vascular damage, indicating beneficial effect of GLP-1R agonists. Conclusions The novel findings in this study, indicate potential molecular mechanisms of GLP-1R agonists in the context of management of T2DM and prevention or delaying the progression of its associated diseases.
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