There Are 33,784 Functioning Kidney Grafts in Spain: Who Monitors Them and How?

Author(s):  
Antonio Franco ◽  
Patricio Mas-Serrano ◽  
Yussel Gonzalez ◽  
Amado Andres ◽  
Sofia Zarraga ◽  
...  
Keyword(s):  
2021 ◽  
pp. 1-6
Author(s):  
Ediz Vuruskan ◽  
Hakan Ercil ◽  
Umut Unal ◽  
Ergun Alma ◽  
Hakan Anil ◽  
...  

<b><i>Introduction:</i></b> The aim of our study is to evaluate the predictive factors affecting the success of treatment with nephrectomy in patients with poorly functioning kidney and nephrogenic hypertension. <b><i>Methods:</i></b> Data for patients who underwent nephrectomy with a diagnosis of nephrogenic hypertension in 3 centers between May 2010 and January 2020 were analyzed. In the postoperative period, if the blood pressure (BP) was below 140/90 mm Hg without medical treatment, it was accepted as complete response; if the arterial BP was below 140/90 mm Hg with medical treatment or less medication, it was accepted as partial response; and if BP did not decrease to normal values, it was accepted as unresponsive. Demographic characteristics, duration of hypertension, preoperative and postoperative BP values, and presence of metabolic syndrome were statistically evaluated. <b><i>Results:</i></b> Our study consisted of 91 patients with a mean preoperative hypertension duration of 23.3 ± 12.1 months. Among patients, 42 (46.2%) had complete response, 18 (19.8%) had partial response, and 31 (34.0%) had no response. Preoperative systolic and diastolic BP values were not effective on treatment success (<i>p</i> = 0.071, <i>p</i> = 0.973, respectively), but the increase in age and hypertension duration (<i>p</i> = 0.030 and <i>p</i> &#x3c; 0.001, respectively) and the presence of metabolic syndrome (<i>p</i> = 0.002) significantly decreased the complete response rates. <b><i>Conclusions:</i></b> Preoperative hypertension duration, advanced age, and presence of metabolic syndrome are predictive factors affecting the response to treatment in patients who undergo nephrectomy due to nephrogenic hypertension.


Author(s):  
Sander Groen in’t Woud ◽  
Loes F. M. van der Zanden ◽  
Michiel F. Schreuder

Author(s):  
Hadas Alfandary ◽  
Orly Haskin ◽  
Ori Goldberg ◽  
Amit Dagan ◽  
Yael Borovitz ◽  
...  

2014 ◽  
Vol 2014 (dec24 1) ◽  
pp. bcr2014206205-bcr2014206205 ◽  
Author(s):  
S. Kumar ◽  
S. Singh ◽  
K. M. Parmar ◽  
N. Garg

1991 ◽  
Vol 32 ◽  
pp. 106
Author(s):  
S. Vaidya ◽  
J.A. Ruth ◽  
N.P. Orchard ◽  
N.E. Schroeder ◽  
R.W. Haneke ◽  
...  

2007 ◽  
Vol 167 (8) ◽  
pp. 885-890 ◽  
Author(s):  
Kieu-Hanh Vu ◽  
Maria Van Dyck ◽  
Hans Daniels ◽  
Willem Proesmans

2018 ◽  
Vol 34 (3) ◽  
pp. 465-474 ◽  
Author(s):  
Isabel V. Poggiali ◽  
Ana Cristina Simões e Silva ◽  
Mariana A. Vasconcelos ◽  
Cristiane S. Dias ◽  
Izabella R. Gomes ◽  
...  

2005 ◽  
Vol 288 (6) ◽  
pp. F1084-F1089 ◽  
Author(s):  
Bruce A. Molitoris ◽  
Ruben M. Sandoval

Recent advances in microscopy and optics, computer sciences, and the available fluorophores used to label molecules of interest have empowered investigators to utilize intravital two-photon microscopy to study the dynamic events within the functioning kidney. This emerging technique enables investigators to follow functional and structural alterations with subcellular resolution within the same field of view over seconds to weeks. This approach invigorates the validity of data and facilitates analysis and interpretation as trends are more readily determined when one is more closely monitoring indicative physiological parameters. Therefore, in this review we emphasize how specific approaches will enable studies into glomerular permeability, proximal tubule endocytosis, and microvascular function within the kidney. We attempt to show how visual data can be quantified, thus allowing enhanced understanding of the process under study. Finally, emphasis is given to the possible future opportunities of this technology and its present limitations.


1996 ◽  
Vol 167 (5) ◽  
pp. 1255-1259 ◽  
Author(s):  
G T Rottenberg ◽  
R De Bruyn ◽  
I Gordon
Keyword(s):  

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