Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: The hypothermic machine perfusion reduces delayed graft function after kidney transplant and allows, to some extent, predicting early graft function. However, it is difficult to identify exact perfusion criteria with which to exclude kidneys from transplant or modify post-transplant care. The aim of this study was to analyze whether renal resistance during the fourth hour of hypothermic machine perfusion is useful in the prediction of graft survival and acute rejection.
Patients And Methods: Data on pretransplant hypothermic machine perfusion parameters of 407 transplanted kidneys were available. Receiver operating characteristic curve analysis was performed to find an optimal cutoff value of ratio for predicting a higher risk class of considered group of patients. According to this, patients were divided into 2 groups: those who received kidneys with renal resistance lower than 0.19 mm Hg/mL/min (R1; n = 187) and those who received kidneys with renal resistance equal to or higher than 0.19 mm Hg/mL/min (R2; n = 220). Within R2, we additionally analyzed 2 subgroups: patients who received induction therapy (R2-Ind+; n = 124) and those who did not received induction therapy (R2-Ind-; n = 96).
Results: Acute rejection in R1 within 1 month post transplant was 2-fold lower compared with R2 and was 6.4% vs 13.1% (P = .03), respectively. One-year graft survival was higher in R1 compared with R2 and was 94.6% vs 88.5% (P = .03), respectively. Acute rejection in the R2-Ind+ subgroup within 1 month post transplant was 2.46-fold lower compared with the R2-Ind- subgroup and was 8% vs 19.7% (P = .01), respectively.
Conclusion: Immunosuppression treatment after transplant should be adjusted to perfusion parameters.
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Source |
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http://dx.doi.org/10.1016/j.transproceed.2019.01.202 | DOI Listing |
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