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: 3145
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
Clin Chim Acta
Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy; Department of Laboratory Medicine, University Hospital Paolo Giaccone, Palermo, Italy. Electronic address:
Published: March 2025
Aim: This study explores the value of midregional proadrenomedullin (mr-proADM), C-reactive protein (CRP), procalcitonin (PCT), and presepsin (PSP) in predicting mortality, considering both their absolute values at different time points and their dynamic kinetics.
Methods: We conducted a retrospective observational study including all consecutive adult ICU admissions. Biomarkers were measured at admission (T0), day 3 (T3), and day 5 (T5). We assessed absolute values, relative variations, and categorized changes (≥50 % increase or decrease).
Results: A total of 99 patients were included. mr-proADM at T3 had the highest predictive value for ICU mortality (AUC = 0.77), followed by PSP at T3 (AUC = 0.70). Cox regression identified mr-proADM at T3 as an independent predictor of mortality (HR: 1.16, p < 0.001), with a ≥ 50 % increase in mr-proADM from T0 to T3 significantly associated with mortality risk (HR: 4.15, p < 0.001). In patients with low baseline mr-proADM levels, a ≥ 50 % increase at T3 was significantly associated with mortality (HR: 4.43, p = 0.04), while in those with high baseline levels, the absolute value at T3 was more predictive.
Conclusion: Our findings suggest that mr-proADM at T3 is the most informative biomarker for predicting ICU mortality, with its absolute value and dynamic increase providing valuable prognostic insights. Importantly, stratified analysis highlights that different risk stratification approaches may be necessary based on baseline mr-proADM levels.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.cca.2025.120212 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!
© LitMetric 2025. All rights reserved.