Abstract
To investigate the early application of pulmonary ultrasonography and arterial blood gas analysis in critical patients with severe multiple injuries exacerbated by respiratory failure. The retrospectiveselection was performed on 81 patientsadmitted to our critical care unit between January 2020 and January 2021 withsevere multiple injuries rendered worse by respiratory failure. Based on the different examination procedures, the patients were categorised into three groups (n=27): group A; diagnosed with pulmonary ultrasonography, group B; diagnosed with arterial blood gas; and group C; diagnosed with both pulmonary ultrasonography and arterial blood gas analyses. Patients were subsequently divided into a survival group (n = 65) and a death group (n = 16). On an annual basis, patients' prognoses wereexamined in relation tothe predictive value of pulmonary ultrasound. Initial diagnosis, diagnosis, and initial correct treatment times were significantly shorter in groups B and C than group A (P<0.05). In contrast, initial diagnosis time, diagnosis time, and initial correct treatment times werepotentially shorter in group C than in group B (P<0.05). Compared to groups B and C, group A had a considerably lower diagnosis rate for the examination methods (P<0.05). The right diaphragm displacement and left diaphragm displacement in the survival group were potentially higher than the LUS score (P < 0.05). In contrast, thesurvival group'slung ultrasound score (LUS)was considerably lower than the death group's. Statistical analysis showed that the predictive values of right diaphragm displacement, left diaphragm displacement, and mean diaphragm displacement were significant compared with the LUS score. The findings of the receiver operating characteristic curve demonstrated that the right, left, and average diaphragm displacements had high predictive values. In the early evaluation of patients with severe multiple injuries complicated by respiratory failure, pulmonary ultrasonography combined with arterial blood gas analysis is crucial for the rapid diagnosis and prognosis prediction of patients.
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