Objective To describe the epidemiological characteristics of cervical spine fracture combined with trauma cervical spinal cord injury (TCSCI) in Guangxi province. Methods A total of 385 patients met the inclusion criteria were enrolled for retrospective investigation. Detailed information included age, sex, marital status, occupation, date of admission, mechanisms of trauma, level of injury, ASIA grade, concomitant injuries, length of hospital stay, complications, and mortality. Results The ratio of Male/Female was 4.4:1. The average age of the patients was 47.9 years, and 88.8％ of the patients were married. 72.9％ of TCSCI occurred between the age of 35-64 years. Farmers accounted for the largest number of patients with TCSCIs, and 63％ of patients with TCSCI were caused by falling. The damage was located at the C3-C5 level, accounting for 63.8％. More than half of the patients with CSCI had brain injury. The most common complication was respiratory infection (54.5％). Among the injury levels, the proportions of ASIA grade A, B, C, and D were 34.8％, 8.5％, 35.5％, and 21％, respectively. During the treatment, 58 patients required cardiopulmonary resuscitation, and 36 patients required mechanical ventilation. The average length of hospital stay was (26.5±21.6) d. Of the 375 patients discharged from the hospital, 51.2％ patients had no improvement in the muscle strength. Conclusions Falling is the main cause of CSCI and men are more likely to be exposed to the injury. Patients with TCSCI have long treatment time and poor treatment results. Additionally, complications during the treatment should not be ignored.

Objective:To explore the correlation between the dynamic changes of early immune cells in acute respiratory dis-tress syndrome(ARDS)caused by multiple injuries and lung infection.Methods:Multiple injury patients with ARDS(235 cases)ad-mitted to the First Affiliated Hospital of Hunan University of Chinese Medicine from October 2017 to February 2023 were selected as the research subjects and included them in the training set;according to simple clinical pulmonary infection scores(sCPIS),they were divided into a pulmonary infection group(94 cases,>6 points)and an uninfected group(141 cases,≤6 points).Another multi-ple injury patients with ARDS(78 cases)were selected to be included in the validation set to verify the effectiveness of the prediction model.Dynamic detection of lymphocytes were used flow cytometry.Compared and analyzed the clinical data of two groups of patients.Constructed a joint model and used Cox regression to analyze the relationship.Multi factor Logistic regression analysis of risk factors,construction of a simple risk scoring model and evaluation.Results:As the patient progresses,CD4+and CD8+first decrease and then increased,and the lowest stage was 3～15 d after onset;CD19+was gradually increasing;CD16+gradually decreased and fluctuated within a certain range.The joint model showed that for every 1 piece/μl longitudinal decrease in CD4+,CD8+,CD19+,and CD16+,the risk of pulmonary infection increased by 5.6%,4.1%,3.4% and 1.3%,respectively(P<0.05).Injury severity score(ISS),chest inju-ry as the main factor,emergency surgery,acutephysiology and chronic health evaluation Ⅱ(APACHE Ⅱ),broncho-alveolar lavage fluid(BALF)sTREM-1 level,and CD4+,CD8+,and CD19+level on the 15th day after onset all were independent influencing factors for the occurrence of pulmonary infection(P<0.05).The score of the simple risk scoring model is 0～36.7 points,which could be divid-ed into three risk levels:low(<16 points),medium(16～22 points),and high risk(>22 points);there was no significant difference in the incidence of pulmonary infection between the two episodes of patients(P>0.05).The evaluation results showed that the predic-tive model has good discrimination.Conclusion:The fluctuation of immune cells will increase the risk of pulmonary infection in pa-tients with multiple injuries ARDS;Baseline CD4+,CD8+,and CD19+levels are independent influencing factors for the occurrence of pulmonary infection;controlling high-level immune cells and maintaining stability is crucial for improving prognosis.