Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
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: Acute cholecystitis (AC) is one of the most common abdominal emergencies worldwide. Biliary infections can easily induce bacteremia, leading to severe general conditions including systemic inflammation and blood coagulation abnormalities. However, bacteremia in AC has not been investigated so far. Herein, we analyzed the blood cultures and clinical data of patients with AC.
Methods: Of 319 consecutive patients with AC at our hospital, we retrospectively investigated 176 patients who were evaluated by blood culture at diagnosis to assess risk factors and develop an identification model for bacteremia in AC.
Results: Based on blood culture results, 37 (21.0%) of 176 patients were diagnosed with bacteremia. The bacteremia-positive group had a significantly worse systemic status at diagnosis than the negative group, including age, severity grading, comorbidities, performance status, systemic inflammatory status, and blood coagulation abnormalities. Multivariate analysis revealed previous endoscopic papillary procedures, total bilirubin, and systemic inflammatory response syndrome ≥ 3 as significant risk factors for bacteremia. On dividing early and late cohorts according to the onset time of AC, an identification signature derived from the three risk factors robustly distinguished bacteremia in both cohorts (AUC, early cohort = 0.93; late cohort = 0.91).
Conclusions: In this study, we identified risk factors and identification signatures that accurately detect bacteremia in patients with AC. This study enriches our medical knowledge of AC, helping us step towards designing individualized treatment strategies for this disease.
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Source |
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http://dx.doi.org/10.1159/000545140 | DOI Listing |
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