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: Despite the prophylactic use of platelet transfusion, hemorrhagic complications still represent an important cause of morbidity and mortality in patients with hematologic malignancies. Patient-related factors and characteristics of the transfused product can affect transfusion efficacy.
Study Design And Methods: The aim of this study was to develop and validate the Platelet Efficacy Score (PEscore), based on patient and product characteristics, to predict the likelihood of a satisfactory platelet transfusion (absolute increment ≥10.5 × 10 /L). This study utilized data relative to 16,265 platelet transfusions performed in 1592 oncohematologic patients. The whole sample was divided into two random samples: a training set, in which different patient-related and transfusion-related characteristics were included in a predictive model to develop the PEscore; and a validation set, in which the predictive properties of the PEscore were confirmed. In the training set, multilevel logistic regression analysis was performed in which the likelihood of attaining a satisfactory transfusion was modeled.
Results: The predictive score ranged between 0 and 30. Predictive properties of the PEscore were confirmed by the observed rates of satisfactory transfusions in the validation sample; the probability of a satisfactory transfusion was less than 10% for a score less than 12 and exceeded 50% if the score was 22 or higher. The likelihood of a satisfactory transfusion increased by 29% for a 1-unit increase in the PEscore (odds ratio, 1.29; 95% confidence interval, 1.27-1.31).
Conclusion: The availability of a prediction score can increase transfusion efficacy, help the transfusion medicine specialist in the choice of the best product for the individual patient, and avoid waste of resources.
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Source |
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http://dx.doi.org/10.1111/trf.13997 | DOI Listing |
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