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Filename: drivers/Session_files_driver.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Filename: models/Detail_model.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
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Objective: We aimed to evaluate whether the retrograde intrarenal surgery (RIRS) scoring systems (Resorlu-Unsal Stone Score [RUSS], modified Seoul National University Renal Stone Complexity Score [modified S-ReCS], and R.I.R.S. score) can predict the infective complications after RIRS.
Subject And Methods: A total of 581 patients who underwent RIRS for kidney stones were included in the study. All patients were evaluated for demographic data, medical history, radiological imaging methods before surgery, duration of surgery, and hospitalization time after surgery. Stone laterality, stone burden, stone size, stone density, the number of stones, stone localization, the presence of congenital kidney anomaly, and solitary kidney were evaluated preoperatively by computed tomography. The RUSS and modified S-ReCS and R.I.R.S. score of all patients were determined.
Results: Infective complications were detected in 47 (8.1%) patients who underwent RIRS. Fever developed in 27 subjects (4.6%), urinary infection in 15 (2.5%), sepsis in 2 (0.3%), and septic shock in 3 (0.5%) patients. In multivariate logistic regression analysis, age (OR = 1.8; 95% CI = 1-3.4; p = 0.049), surgical duration of >60 min (OR = 1.9; 95% CI = 1.1-3.5; p = 0.027), and high R.I.R.S score (OR = 8.9; 95% CI = 1.9-42.4; p = 0.006) were shown to be independent risk factors for the infective complications after RIRS. A receiver operating characteristic curve analysis showed that the R.I.R.S. score can be used as a marker to predict infective complications (AUC = 0.619, CI = 0.55-0.69; p = 0.007).
Conclusion: We suggest that the R.I.R.S. score can be used to predict infective complications in RIRS.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274948 | PMC |
http://dx.doi.org/10.1159/000522064 | DOI Listing |
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