Advancing ICU mortality prediction in community-
| dc.authorid | Cetin, Ece Unal/0000-0002-0933-7764 | |
| dc.contributor.author | Cetin, Ece Unal | |
| dc.contributor.author | Kurtkulagi, Ozge | |
| dc.contributor.author | Kamis, Fatih | |
| dc.contributor.author | Das, Murat | |
| dc.contributor.author | Simsek, Esen | |
| dc.contributor.author | Cetin, Adil Ugur | |
| dc.contributor.author | Beyazit, Yavuz | |
| dc.date.accessioned | 2025-05-29T02:57:30Z | |
| dc.date.available | 2025-05-29T02:57:30Z | |
| dc.date.issued | 2025 | |
| dc.department | Çanakkale Onsekiz Mart Üniversitesi | |
| dc.description.abstract | Community-acquired pneumonia (CAP) is a leading cause of ICU admissions, with significant morbidity and mortality. Traditional risk stratification tools such as CURB-65, the Pneumonia Severity Index (PSI), and CT severity scores (CT-SS) are widely used for prognosis but could be improved by incorporating novel biomarkers. This retrospective study evaluated the fibrinogen-to-albumin ratio (FAR) as an additional predictor of 30-day mortality in ICU patients with CAP. A total of 158 CAP patients admitted to a tertiary care ICU were included. Baseline data encompassed demographic, clinical, laboratory, and radiological parameters, including FAR, CURB-65, PSI, and CT-SS. Logistic regression and ROC curve analyses were conducted to assess mortality predictors. The 30-day mortality rate was 70.88% (112/158). Higher FAR, PSI, CURB-65, CT-SS, and lactate levels were independently associated with increased mortality (p < 0.05). FAR demonstrated strong discriminatory power (AUROC: 0.704) and significantly improved the predictive accuracy of established models. Adding FAR to PSI increased the area under the receiver operating characteristic (AUROC) from 0.705 to 0.791 (p = 0.009), while combining FAR, CT-SS, and PSI yielded the highest predictive accuracy (AUROC: 0.844, p = 0.032). These findings suggest that FAR, which reflects both inflammation and nutritional status, complements traditional risk assessment tools by providing a dynamic perspective. Integrating FAR into existing models enhances the identification of high-risk patients, enabling timely interventions and more efficient resource allocation in the ICU. | |
| dc.identifier.doi | 10.17305/bb.2025.12127 | |
| dc.identifier.issn | 2831-0896 | |
| dc.identifier.issn | 2831-090X | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.uri | https://doi.org/10.17305/bb.2025.12127 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12428/30087 | |
| dc.identifier.wos | WOS:001433464400001 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.language.iso | en | |
| dc.publisher | Assoc Basic Medical Sci Federation Bosnia & Herzegovina Sarajevo | |
| dc.relation.ispartof | Biomolecules and Biomedicine | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WOS_20250529 | |
| dc.subject | Community-acquired pneumonia | |
| dc.subject | CAP | |
| dc.subject | fibrinogen-to-albumin ratio | |
| dc.subject | FAR | |
| dc.subject | CT severity score | |
| dc.subject | CT-SS | |
| dc.subject | Pneumonia Severity Index | |
| dc.subject | PSI | |
| dc.title | Advancing ICU mortality prediction in community- | |
| dc.type | Article |
