Identification of Biomarkers for Early Diagnosis of Crush Syndrome
Introduction. In the aftermath of natural disasters, hospitals often face a surge of patients with emergency injuries, posing significant challenges to emergency medical response systems. Effective biomarkers are essential for patient follow-up, treatment, and prognosis prediction. Studies to date h...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ivano-Frankivsk National Medical University
2025-04-01
|
| Series: | Galician Medical Journal |
| Subjects: | |
| Online Access: | https://ifnmujournal.com/gmj/article/view/2085 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850183472144973824 |
|---|---|
| author | Deniz Gezer Semra Özkan |
| author_facet | Deniz Gezer Semra Özkan |
| author_sort | Deniz Gezer |
| collection | DOAJ |
| description | Introduction. In the aftermath of natural disasters, hospitals often face a surge of patients with emergency injuries, posing significant challenges to emergency medical response systems. Effective biomarkers are essential for patient follow-up, treatment, and prognosis prediction. Studies to date have attempted to identify indicators of crush syndrome. With this study, we aimed to add to the growing body of literature on this subject.
Methods. This single-center retrospective study analyzed 185 patients admitted with earthquake-related crush injuries between February and March 2023. They were compared with 1,065 patients who were also trapped during the earthquake but did not develop crush syndrome. Demographic, clinical, and laboratory data were utilized for the analysis.
Results. Patients with crush syndrome exhibited significantly higher levels of blood glucose, D-dimer, white blood cell count, hemoglobin, platelet count, absolute neutrophil count, absolute monocyte count, C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, and systemic inflammatory index compared to those without crush syndrome (p < 0.001). Additionally, they had a higher prevalence of upper extremity fractures, lower extremity fractures, pelvic fractures, abdominal trauma, chest trauma, lower extremity trauma, intracranial hemorrhage, pneumothorax, hemothorax, and intraabdominal bleeding (p < 0.001).
Conclusions. Systemic inflammatory indices and biochemical values can be valuable prognostic tools in managing patients after a disaster. Utilizing these indices may enhance the efficient allocation of hospital resources and enable rapid intervention for high-risk patients. |
| format | Article |
| id | doaj-art-cf87dae5a7494610a221d9723c457bc5 |
| institution | OA Journals |
| issn | 2414-1518 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Ivano-Frankivsk National Medical University |
| record_format | Article |
| series | Galician Medical Journal |
| spelling | doaj-art-cf87dae5a7494610a221d9723c457bc52025-08-20T02:17:20ZengIvano-Frankivsk National Medical UniversityGalician Medical Journal2414-15182025-04-0132210.21802/e-GMJ2025-A122085Identification of Biomarkers for Early Diagnosis of Crush SyndromeDeniz Gezer0Semra Özkan1Mersin City Training and Research Hospital Mersin, TürkiyeMersin City Training and Research Hospital Mersin, TürkiyeIntroduction. In the aftermath of natural disasters, hospitals often face a surge of patients with emergency injuries, posing significant challenges to emergency medical response systems. Effective biomarkers are essential for patient follow-up, treatment, and prognosis prediction. Studies to date have attempted to identify indicators of crush syndrome. With this study, we aimed to add to the growing body of literature on this subject. Methods. This single-center retrospective study analyzed 185 patients admitted with earthquake-related crush injuries between February and March 2023. They were compared with 1,065 patients who were also trapped during the earthquake but did not develop crush syndrome. Demographic, clinical, and laboratory data were utilized for the analysis. Results. Patients with crush syndrome exhibited significantly higher levels of blood glucose, D-dimer, white blood cell count, hemoglobin, platelet count, absolute neutrophil count, absolute monocyte count, C-reactive protein, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, and systemic inflammatory index compared to those without crush syndrome (p < 0.001). Additionally, they had a higher prevalence of upper extremity fractures, lower extremity fractures, pelvic fractures, abdominal trauma, chest trauma, lower extremity trauma, intracranial hemorrhage, pneumothorax, hemothorax, and intraabdominal bleeding (p < 0.001). Conclusions. Systemic inflammatory indices and biochemical values can be valuable prognostic tools in managing patients after a disaster. Utilizing these indices may enhance the efficient allocation of hospital resources and enable rapid intervention for high-risk patients.https://ifnmujournal.com/gmj/article/view/2085crush syndromeearthquakeemergency medicinesystemic inflammatory index |
| spellingShingle | Deniz Gezer Semra Özkan Identification of Biomarkers for Early Diagnosis of Crush Syndrome Galician Medical Journal crush syndrome earthquake emergency medicine systemic inflammatory index |
| title | Identification of Biomarkers for Early Diagnosis of Crush Syndrome |
| title_full | Identification of Biomarkers for Early Diagnosis of Crush Syndrome |
| title_fullStr | Identification of Biomarkers for Early Diagnosis of Crush Syndrome |
| title_full_unstemmed | Identification of Biomarkers for Early Diagnosis of Crush Syndrome |
| title_short | Identification of Biomarkers for Early Diagnosis of Crush Syndrome |
| title_sort | identification of biomarkers for early diagnosis of crush syndrome |
| topic | crush syndrome earthquake emergency medicine systemic inflammatory index |
| url | https://ifnmujournal.com/gmj/article/view/2085 |
| work_keys_str_mv | AT denizgezer identificationofbiomarkersforearlydiagnosisofcrushsyndrome AT semraozkan identificationofbiomarkersforearlydiagnosisofcrushsyndrome |