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2.
Clin Biochem ; 47(13-14): 1316-9, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24956265

RESUMEN

OBJECTIVE: Parathyroid hormone (iPTH) and fibroblast growth factor 23 (FGF23) are elevated in secondary hyperparathyroidism. In hemodialysis, higher dialysate calcium (1.5 mmol/L) induces intradialytic suppression of iPTH, whereas its impact on FGF23 and markers of bone metabolism is unknown. We assessed the time course of FGF23 and markers of bone metabolism in relationship to dialysate calcium. DESIGN AND METHODS: In this prospective cohort study of 19 patients on maintenance hemodialysis, we measured serum calcium (sCa), inorganic phosphate (iP), blood urea nitrogen (BUN), ß2-microglobulin (ßMG), iPTH, FGF23, aminoterminal propeptide type 1 procollagen (P1NP), C-telopeptide of type I collagen for bone degradation (CTX-I), osteocalcin (OC), bone specific alkaline phosphatase (BALP), and tartrate-resistant acid phosphatase (TRAP5b) during a single hemodialysis session at baseline, 1, 2, and 3h of dialysis. The time course of measured parameters was compared according to groups of prescribed dialysate calcium of 1.25 mmol/L and 1.5 mmol/L. RESULTS: iPTH declined in the 1.5 mmol/L dialysis group as serum calcium increased whereas it tended to increase in the 1.25 mmol/L group without significant changes in serum calcium. Patients on long-term dialysate calcium of 1.5 mmol/L had significantly lower CTX-I levels and tended to lower levels of iPTH, FGF23, OC, P1NP and TRAP5b at the start of dialysis compared to those on 1.25 mmol/L. CTX-I, FGF23 and OC but not BALP, P1NP and TRAP5b decreased during dialysis independent of dialysate calcium. CONCLUSIONS: In spite of immediate effects on iPTH, dialysate calcium does not acutely affect other parameters of bone and mineral metabolism. SHORT SUMMARY: Dialysate calcium concentration is known to have both immediate and longer-term impact on parathyroid hormone levels in hemodialysis patients. Little is known about the acute impact of dialysate calcium on bone metabolism. In this cross-sectional study of prevalent hemodialysis patients, we found no evidence of immediate short-term dialysate calcium-induced changes of fibroblast growth factor 23 or anabolic and catabolic markers of bone turnover during hemodialysis. However, differences in CTX-I and to a lesser extent other parameters between groups of higher and lower dialysate calcium suggest a longer-term effect that remains to be validated.


Asunto(s)
Biomarcadores/metabolismo , Huesos/metabolismo , Factores de Crecimiento de Fibroblastos/metabolismo , Fosfatasa Ácida/metabolismo , Adulto , Anciano , Anciano de 80 o más Años , Fosfatasa Alcalina/metabolismo , Nitrógeno de la Urea Sanguínea , Calcio/metabolismo , Colágeno Tipo I/metabolismo , Femenino , Factor-23 de Crecimiento de Fibroblastos , Humanos , Isoenzimas/metabolismo , Masculino , Persona de Mediana Edad , Osteocalcina/metabolismo , Hormona Paratiroidea/metabolismo , Fragmentos de Péptidos/metabolismo , Péptidos/metabolismo , Fosfatos/metabolismo , Procolágeno/metabolismo , Estudios Prospectivos , Diálisis Renal/métodos , Fosfatasa Ácida Tartratorresistente
3.
Eur J Clin Invest ; 44(2): 168-75, 2014 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-24224947

RESUMEN

BACKGROUND: Baseline comorbidities influence patient outcomes in renal transplantation. Identification of high-risk recipients for patient death and early allograft loss might lead to superior stratification. MATERIAL AND METHODS: In this retrospective study, risk stratification models were developed in a cohort of 392 kidney transplant recipients and validated in an independent cohort to predict short-term (2 year) outcomes. RESULTS: Peripheral arterial disease [OR 7·7 (95% confidence interval (CI): 2·45-24·60); P < 0·001], use of oral anticoagulation [OR 18·68 (95% CI: 3·77-92·46); P < 0·0001], smoking [OR 5·15 (95% CI: 1·67-15·84); P = 0·004], recipient age > 60 years [OR 7·28 (95% CI: 2·33-22·69; P = 0·001)], serum albumin < 40 g/L [OR 5·08 (95% CI: 1·82-14·19); P = 0·002], serum calcium ≥ 2·42 mM [OR 6·47 (95% CI: 1·37-30·58); P = 0·02] living donation [OR 2·95, (95% CI: 0·31-28·29); P = 0·34)] and previous haemodialysis [OR 3·33, (95% CI: 0·39-28·11); P = 0·27)] were included in the model. The validated model discriminated between low- (< 3 points) and high-risk recipients (> 8·5 points) with mortality rates of 0% vs. 54%. The comparison of the model with the Charlson comorbidity index (CCI) yielded significantly better receiver operating characteristic (ROC) areas (Novel Score ROC: 0·87 vs. CCI: 0·72, P = 0·0012). Early allograft loss was associated with presensitization [OR 3·02 (95% CI: 1·29-7·09); P = 0·011] and presence of hepatitis C antibodies [OR 2·42 (95% CI: 1·09-5·34); P = 0·029]. A risk model (ROC: 0·62) for allograft loss could not be developed. CONCLUSION: Risk stratification based on the novel score might identify high-risk recipients with disproportional risk of early patient death and lead to optimized strategies.


Asunto(s)
Trasplante de Riñón/mortalidad , Adulto , Femenino , Supervivencia de Injerto/fisiología , Humanos , Masculino , Persona de Mediana Edad , Cuidados Preoperatorios/métodos , Cuidados Preoperatorios/mortalidad , Pronóstico , Estudios Retrospectivos , Medición de Riesgo/métodos , Análisis de Supervivencia , Trasplante Homólogo/mortalidad
4.
Transplantation ; 95(11): 1338-45, 2013 Jun 15.
Artículo en Inglés | MEDLINE | ID: mdl-23594858

RESUMEN

BACKGROUND: Endothelial progenitor cell (EPC) counts are proposed surrogate markers for vascular function and cardiovascular risk. The effect of tacrolimus (TAC) on EPC is unknown. METHODS: In this randomized controlled trial, we assigned 148 stable long-term kidney transplant recipients (KTR) to maintaining ciclosporin (CSA) or to commencing TAC-based immunosuppression at a 2:1 ratio. EPC counts (CD34/KDR) after 24 months were defined as primary endpoint. RESULTS: The intent-to-treat analysis included 141 KTR (estimated glomerular filtration rate, 46.7 [40.1-61.8] mL/min per 1.73 m). Median (interquartile range [IQR]) EPC counts at baseline and month 24 were 6 (2-9) and 3 (1-9) cells and 4 (2-8) and 2 (0-5) cells per 5×10 mononuclear cells in CSA and TAC, respectively. Median (IQR) circulating angiogenic cells at baseline and month 24 were 28 (10.7-57) and 44.33 (14.6-59.8) cells and 22 (10.8-41) and 21 (9.7-49.5) cells per high-power field in CSA and TAC, respectively. Median (IQR) endothelial cell colony-forming units count per well at baseline and month 24 were 10.5 (3.3-34.3) and 4.38 (1.7-26.5) in CSA and significantly declined from 9.31 (1.8-29.3) to 4.13 (1.1-9.5) in TAC (P=0.003). There were no cardiovascular events in either group. CONCLUSION: Although late conversion from CSA to TAC appears safe in KTR, conversion to TAC has no favorable effect on EPC. Low EPC levels are associated with a higher risk of subsequent cardiovascular events and are therefore of prognostic value. Their trend to decline over time deserves further examination.


Asunto(s)
Ciclosporina/farmacología , Células Endoteliales/efectos de los fármacos , Inmunosupresores/farmacología , Trasplante de Riñón/patología , Células Madre/efectos de los fármacos , Tacrolimus/farmacología , Trasplante , Adulto , Anciano , Enfermedades Cardiovasculares/epidemiología , Recuento de Células , Células Endoteliales/patología , Células Endoteliales/fisiología , Femenino , Tasa de Filtración Glomerular/fisiología , Humanos , Trasplante de Riñón/fisiología , Masculino , Persona de Mediana Edad , Pronóstico , Estudios Prospectivos , Factores de Riesgo , Células Madre/patología , Células Madre/fisiología
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