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: 3122
Function: getPubMedXML
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
Unlabelled: In an analysis of a large single-institution experience in the surgical management of renal cell carcinoma (RCC) and inferior vena cava (IVC) thrombus, the authors present the effect of RCC characteristics on survival, and aim to identify potential preoperative variables predictive of intraoperative complexity with regard to estimated blood loss, transfusion volume, surgical time, length of stay, and postoperative complication rates. Age, American Society of Anesthesiologists score, Charlson Comorbidity Index, preoperative calcium, preoperative creatinine, and IVC wall invasion were significantly related to complication rates.
Introduction: Preoperative laboratory values are commonly used as markers of health and potential disease burden, however, their effect on perioperative complexity has not previously been assessed. The authors aimed to evaluate the effect of renal cell carcinoma and inferior vena cava (IVC) thrombus characteristics on cancer-specific survival (CSS), and identify potential preoperative variables predictive of intraoperative complexity.
Materials And Methods: In a retrospective chart review we identified 144 patients who underwent nephrectomy and IVC thrombectomy. Univariate and multivariate analyses were used to assess the effect of disease characteristics on CSS and postoperative complications. Linear regression analysis was used to determine the association between preoperative laboratory values and intraoperative complexity characterized by estimated blood loss (EBL), transfusion volume (TV), operative time, and length of hospital stay (LOS).
Results: Analysis of intraoperative complexity revealed a significant correlation between preoperative creatinine (Cr) and EBL (P = .022), TV (P = .041), and LOS (P = .005), and preoperative hemoglobin (Hgb) was associated with increased EBL (P < .001) and TV (P < .001). Multivariate analyses showed a significant relationship between overall complication rates and preoperative calcium (Ca; P = .012), American Society of Anesthesiologists (ASA) score (P = .003), and IVC wall invasion (P = .005), and a significant association between major complications and preoperative Ca (P = .011), preoperative Cr (P = .041), age (P = .050), and Charlson Comorbidity Index (CCI; P = .002).
Conclusion: With regard to intraoperative complexity and postoperative complications, preoperative Cr and Hgb were significantly associated with increased EBL, TV, and LOS, and ASA score, preoperative Ca, preoperative Cr, IVC wall invasion, age, and CCI were found to have significant relationships with complication rates.
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http://dx.doi.org/10.1016/j.clgc.2015.09.007 | DOI Listing |
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