Progress in the Diagnostic and Predictive Evaluation of Crush Syndrome

Author:

Luo Yu12,Liu Chunli12,Li Duo12ORCID,Yang Bofan12,Shi Jie12,Guo Xiaoqin12,Fan Haojun12,Lv Qi12ORCID

Affiliation:

1. Institution of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China

2. Key Laboratory of Medical Rescue Key Technology and Equipment, Ministry of Emergency Management, Wenzhou 325000, China

Abstract

Crush syndrome (CS), also known as traumatic rhabdomyolysis, is a syndrome with a wide clinical spectrum; it is caused by external compression, which often occurs in earthquakes, wars, and traffic accidents, especially in large-scale disasters. Crush syndrome is the second leading cause of death after direct trauma in earthquakes. A series of clinical complications caused by crush syndrome, including hyperkalemia, myoglobinuria, and, in particular, acute kidney injury (AKI), is the main cause of death in crush syndrome. The early diagnosis of crush syndrome, the correct evaluation of its severity, and accurate predictions of a poor prognosis can provide personalized suggestions for rescuers to carry out early treatments and reduce mortality. This review summarizes various methods for the diagnostic and predictive evaluation of crush syndrome, including urine dipstick tests for a large number of victims, traditional and emerging biomarkers, imaging-assisted diagnostic methods, and developed evaluation models, with the aim of providing materials for scholars in this research field.

Funder

National Key Research and Development Program

Publisher

MDPI AG

Subject

Clinical Biochemistry

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