ABSTRACT
Introducción: las alteraciones del metabolismo óseo-mineral, son una causa importante de morbilidad en los pacientes con trasplante renal, por lo que el manejo de las complicaciones del paciente trasplantado, a largo plazo, deben de ser seguidas. El estudio intenta demostrar cambios en el metabolismo óseo y mineral en pacientes con enfermedad renal crónica sometidos a trasplante renal en el Hospital General Plaza de la Salud durante el período comprendido entre enero 2010 agosto 2018, Santo Domingo, República Dominicana. Método: estudio observacional, descriptivo, retrospectivo y transversal de 131 trasplantes realizados en el Hospital General Plaza de la Salud, evaluando cambios de calcio (Ca), fósforo (P) y hormona paratiroidea (PTH) antes y tres meses post-trasplante. Resultados: la edad media de los pacientes incluidos fue 43.1 ±13.1 años, 72.51 % pertenecía al sexo masculino, con un tiempo medio en hemodiálisis en meses de 27.0 ± 33.6, 60 % de los trasplantes realizados fueron de donante vivo y un 63 % de los pacientes tenía HTA como comorbilidad. El nivel medio de PTH disminuyó en los primeros 3 meses posteriores al trasplante comparado con el pre-trasplante (779.6 ± 1004.0 vs. 167.9 ± 138.2 pg/ml). El fosfato disminuyó significativamente (4.9 ± 1.6 vs. 3.5 ± 0.8) y el calcio aumentó (9.0 ± 1.2 mg/dl vs. a 9.7± 0.8 mg/dl). Discusión: los cambios generales en los niveles séricos de Ca, P, PTH, BUN y creatinina desde el momento del TR a los 3 meses post TR, fueron todos significativos
Introduction: Alterations of bone-mineral metabolism are an important cause of morbidity in patients with kidney transplantation, so the management of long-term transplant patient complications should be followed. The study tries to demonstrate changes in bone and mineral metabolism in patients with chronic renal disease undergoing kidney transplant in the Hospital General Plaza de la Salud during the period January 2010 to August 2018, Santo Domingo, Dominican Republic. Method: Observational, Descriptive, Retrospective and Cross-sectional Study of 131 transplants performed at Hospital General Plaza de la Salud, evaluating changes of calcium (Ca), phosphorus (P) and parathyroid hormone (PTH) before and 3 months post-transplant. Results: The mean age of the patients included was 43.1 ± 13.1 years, 72.51% belonged to the male sex, with a mean time on hemodialysis in months of 27.0 ± 33.6, 60% of the transplants performed were from live donors and 63% from the patients had hypertension as comorbidity. The mean PTH level decreased in the first 3 months after transplantation compared to the pre-transplant (779.6 ± 1004.0 vs 167.9 ± 138.2 pg/ml). Phosphate decreased significantly (4.9 ± 1.6 vs 3.5 ± 0.8) and calcium increased (9.0 ± 1.2 mg / dl vs. 9.7 ± 0.8 mg / dl). Discussion: The general changes in serum levels of Ca, P, PTH, BUN and Creatinine from the time of TR to 3 months post TR were all significant
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Young Adult , Chronic Kidney Disease-Mineral and Bone Disorder/metabolism , Kidney Transplantation , Renal Insufficiency, Chronic/metabolism , Cross-Sectional Studies , Retrospective Studies , Renal Insufficiency, Chronic/surgery , Hyperparathyroidism, Secondary/metabolismABSTRACT
Background The role of CT angiography-derived fractional flow reserve (CT-FFR) in pre-transcatheter aortic valve replacement (TAVR) assessment is uncertain. Purpose To evaluate the predictive value of on-site machine learning-based CT-FFR for adverse clinical outcomes in candidates for TAVR. Materials and Methods This observational retrospective study included patients with severe aortic stenosis referred to TAVR after coronary CT angiography (CCTA) between September 2014 and December 2019. Clinical end points comprised major adverse cardiac events (MACE) (nonfatal myocardial infarction, unstable angina, cardiac death, or heart failure admission) and all-cause mortality. CT-FFR was obtained semiautomatically using an on-site machine learning algorithm. The ability of CT-FFR (abnormal if ≤0.75) to predict outcomes and improve the predictive value of the current noninvasive work-up was assessed. Survival analysis was performed, and the C-index was used to assess the performance of each predictive model. To compare nested models, the likelihood ratio χ2 test was performed. Results A total of 196 patients (mean age ± standard deviation, 75 years ± 11; 110 women [56%]) were included; the median time of follow-up was 18 months. MACE occurred in 16% (31 of 196 patients) and all-cause mortality in 19% (38 of 196 patients). Univariable analysis revealed CT-FFR was predictive of MACE (hazard ratio [HR], 4.1; 95% CI: 1.6, 10.8; P = .01) but not all-cause mortality (HR, 1.2; 95% CI: 0.6, 2.2; P = .63). CT-FFR was independently associated with MACE (HR, 4.0; 95% CI: 1.5, 10.5; P = .01) when adjusting for potential confounders. Adding CT-FFR as a predictor to models that include CCTA and clinical data improved their predictive value for MACE (P = .002) but not all-cause mortality (P = .67), and it showed good discriminative ability for MACE (C-index, 0.71). Conclusion CT angiography-derived fractional flow reserve was associated with major adverse cardiac events in candidates for transcatheter aortic valve replacement and improved the predictive value of coronary CT angiography assessment. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Choe in this issue.
