2
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Hyperparathyroidism Is an Independent Risk Factor for Allograft Dysfunction in Pediatric Kidney Transplantation

      research-article
      1 , , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 8 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 13 , 9 , 18 , 19 , 20 , 3 , 21 , 22 , 23 , 7 , 14 , 15 , 24 , 25 , 3 , Working Groups “Transplantation” and “CKD-MBD” of the European Society for Paediatric Nephrology (ESPN) and the Cooperative European Paediatric Renal Transplant Initiative (CERTAIN) Research Network 26
      Kidney International Reports
      Elsevier
      allograft outcome, hyperparathyroidism, kidney transplantation, pediatric, structural marginal models

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Little is known about the consequences of deranged chronic kidney disease–mineral and bone disorder (CKD-MBD) parameters on kidney allograft function in children. We examined a relationship between these parameters over time and allograft outcome.

          Methods

          This registry study from the Cooperative European Paediatric Renal Transplant Initiative (CERTAIN) collected data at baseline, months 1, 3, 6, 9, and 12 after transplant; and every 6 months thereafter up to 5 years. Survival analysis for a composite end point of graft loss or estimated glomerular filtration rate (eGFR) ≤30 ml/min per 1.73 m 2 or a ≥50% decline from eGFR at month 1 posttransplant was performed. Associations of parathyroid hormone (PTH), calcium, phosphate, and 25-hydroxyvitamin D (25(OH)D) with allograft outcome were investigated using conventional stratified Cox proportional hazards models and further verified with marginal structural models with time-varying covariates.

          Results

          We report on 1210 patients (61% boys) from 16 European countries. The composite end point was reached in 250 grafts (21%), of which 11 (4%) were allograft losses. In the conventional Cox proportional hazards models adjusted for potential confounders, only hyperparathyroidism (hazard ratio [HR], 2.94; 95% confidence interval [CI], 1.82–4.74) and hyperphosphatemia (HR, 1.94; 95% CI, 1.28–2.92) were associated with the composite end point. Marginal structural models showed similar results for hyperparathyroidism (HR, 2.74; 95% CI, 1.71–4.38), whereas hyperphosphatemia was no longer significant (HR, 1.35; 95% CI, 0.87–2.09), suggesting that its association with graft dysfunction can be ascribed to a decline in eGFR.

          Conclusion

          Hyperparathyroidism is a potential independent risk factor for allograft dysfunction in children.

          Graphical abstract

          Related collections

          Most cited references38

          • Record: found
          • Abstract: not found
          • Article: not found

          Marginal Structural Models and Causal Inference in Epidemiology

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            New equations to estimate GFR in children with CKD.

            The Schwartz formula was devised in the mid-1970s to estimate GFR in children. Recent data suggest that this formula currently overestimates GFR as measured by plasma disappearance of iohexol, likely a result of a change in methods used to measure creatinine. Here, we developed equations to estimate GFR using data from the baseline visits of 349 children (aged 1 to 16 yr) in the Chronic Kidney Disease in Children (CKiD) cohort. Median iohexol-GFR (iGFR) was 41.3 ml/min per 1.73 m(2) (interquartile range 32.0 to 51.7), and median serum creatinine was 1.3 mg/dl. We performed linear regression analyses assessing precision, goodness of fit, and accuracy to develop improvements in the GFR estimating formula, which was based on height, serum creatinine, cystatin C, blood urea nitrogen, and gender. The best equation was: GFR(ml/min per 1.73 m(2))=39.1[height (m)/Scr (mg/dl)](0.516) x [1.8/cystatin C (mg/L)](0.294)[30/BUN (mg/dl)](0.169)[1.099](male)[height (m)/1.4](0.188). This formula yielded 87.7% of estimated GFR within 30% of the iGFR, and 45.6% within 10%. In a test set of 168 CKiD patients at 1 yr of follow-up, this formula compared favorably with previously published estimating equations for children. Furthermore, with height measured in cm, a bedside calculation of 0.413*(height/serum creatinine), provides a good approximation to the estimated GFR formula. Additional studies of children with higher GFR are needed to validate these formulas for use in screening all children for CKD.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Marginal structural models and causal inference in epidemiology.

              In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators.
                Bookmark

                Author and article information

                Contributors
                Journal
                Kidney Int Rep
                Kidney Int Rep
                Kidney International Reports
                Elsevier
                2468-0249
                28 October 2022
                January 2023
                28 October 2022
                : 8
                : 1
                : 81-90
                Affiliations
                [1 ]Department of Pediatric Nephrology and Rheumatology, Ghent University Hospital, Ghent, Belgium
                [2 ]Renal Unit, University College London Great Ormond Street Hospital, London, United Kingdom
                [3 ]Department of Pediatrics I, University Children’s Hospital Heidelberg, Heidelberg, Germany
                [4 ]Biostatistics Unit, Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
                [5 ]Reference Center for Rare Renal Diseases, Reference Center for Rare Diseases of Calcium and Phosphate Metabolism, Hospices Civils de Lyon, France
                [6 ]Pediatric Nephrology. University Hospital Vall d’ Hebron, Barcelona, Spain
                [7 ]Department of Nephrology and Transplantation, Temple Street, Dublin, Ireland
                [8 ]Pediatric Nephrology, Dialysis and Transplant Unit, Laboratory of Immunopathology and Molecular Biology of the Kidney, Department of Women’s and Children’s Health, Padua University Hospital, Padua, Italy
                [9 ]Department of Pediatrics II, University Hospital of Essen, Essen, Germany
                [10 ]First Department of Pediatrics, Semmelweis University, Budapest, Hungary
                [11 ]Children’s Hospital Nottingham, Nottingham, United Kingdom
                [12 ]Renal Transplant Unit, Bambino Gesù Children’s Research Hospital Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
                [13 ]Department of Pediatric Nephrology and Transplantation, University Children’s Hospital, University Medical Center Hamburg/Eppendorf, Hamburg, Germany
                [14 ]Pediatric Nephrology, Children’s and Adolescents’ Hospital, University Hospital of Cologne, Faculty of Medicine, University of Cologne, Cologne, Germany
                [15 ]KfH-Pediatric Kidney Center and Department of Pediatrics, Philipps-University of Marburg, Marburg, Germany
                [16 ]Department of Pediatric Gastroenterology, Nephrology and Metabolism, Charité–University Medicine Berlin, Berlin, Germany
                [17 ]University Children’s Hospital, Münster, Germany
                [18 ]Department of General Pediatrics, Adolescent Medicine and Neonatology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
                [19 ]Pediatric Nephrology Unit, Pediatric Department I, Hippokration General Hospital, Aristotle University, Thessaloniki, Greece
                [20 ]Department of Nephrology, Kidney Transplantation and Arterial Hypertension, Children’s Memorial Health Institute, Warsaw, Poland
                [21 ]Royal Manchester Children’s Hospital, Manchester, United Kingdom
                [22 ]Department of Pediatric Nephrology, University Children’s Hospital Zurich, Zurich, Switzerland
                [23 ]Kinder-und Jugendklinik, Rostock, Germany
                [24 ]Department of General Pediatrics and Hematology/Oncology, University Children’s Hospital Tuebingen, Tuebingen, Germany
                [25 ]Department of Pediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Hannover, Germany
                Author notes
                [] Correspondence: Agnieszka Prytula, Department of Pediatric Nephrology and Rheumatology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent 9000, Belgium. agnieszka.prytula@ 123456uzgent.be
                [26]

                Members of Working Groups “Transplantation” and “CKD-MBD” of the European Society for Paediatric Nephrology and the Cooperative European Paediatric Renal Transplant Initiative Research Network are listed in the Appendix.

                Article
                S2468-0249(22)01831-9
                10.1016/j.ekir.2022.10.018
                9832060
                36644359
                94031095-704b-4845-8bef-50f1d07b57ff
                © 2022 Published by Elsevier Inc. on behalf of the International Society of Nephrology.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 30 June 2022
                : 15 September 2022
                : 17 October 2022
                Categories
                Clinical Research

                allograft outcome,hyperparathyroidism,kidney transplantation,pediatric,structural marginal models

                Comments

                Comment on this article