Objective To explore the clinical value of the ten-point scale in the early diagnosis of fat embolism syndrome.Methods The data of 129 patients with fat embolism syndrome diagnosed by Gurd criteria admitted from January 1993 to February 2012 were analyzed retrospectively.At the same time,another 97 patients with single or multiple long bone fracture and/or pelvic fracture without fat embolism admitted from July 2005 to February 2012 were enrolled as control group.Patients were excluded if they had any of the following diseases:simple brain trauma,thoracic injury,spine fracture,hemorrhagic shock and the complications of cardiopulmonary cerebral resuscitation (CPCR).The patients of two groups were comparable in respect of clinical setting.The clinical data were analyzed and scored by the ten-point scale.The x2 test were applied to statistical works.Results Among all the clinical characteristics,the incidence of increased D-dimer was the highest (74.1％) in early fat embolism syndrome,followed by the progressive decrease in hemoglobin (63.6％) and hypoxemia (57.4％),and the occurrence of dyspnea was the lowest (17.8％).The percentage of total scores over ten points in patients with fat embolism syndrome group was higher than that in those without fat embolism syndrome (x2 =202.6,P ＜ 0.01).The sensitivity of tenpoint scale was 96.12％ and the specificity was 99.8％.Conclusions Ten-point scale could be used to make early diagnosis of fat embolism syndrome,thereby reducing the occurrence of misdiagnosis and misseddiagnosis.

Objective:To establish a predictive model of acute physiological and chronic health status score (APACHEⅡ) and the British Thoracic Society modified pneumonia score (CURB-65) score on the prognosis of patients with emergency severe pneumonia complicated with acute respiratory distress syndrome (ARDS) and to evaluate the predictive effect.Methods:The relevant clinical data of patients with severe pneumonia combined with ARDS admitted to the Emergency Intensive Care Unit (EICU) of General Hospital of Ningxia Medical University from January 2017 to December 2021 were retrospectively collected, and different logistic regression models were established. On this basis, three prediction models (model 1: APACHE Ⅱ score, model 2: CURB-65 score, Model 3: APACHE Ⅱ score combined with CURB-65 score) were established and the accuracy of the prediction model was evaluated by repeating 50 times of 10-fold cross-validations. The efficacy of the prediction model was evaluated by C statistics, Kendall's tau-a rank correlation coefficient, R2, Brier score, calibration curve, net reclassification index (NRI), composite discriminant improvement index (IDI) and decision curve (DCA).Results:The study eventually included 108 patients, including 81 males and 27 females, with mean age (57.92 ± 16.56) years. Forty-eight patients survived and 60 patients died. The age of the death group was older, and APACHEⅡ score and CURB-65 score of the death group were all greater than those in the survival group, and the differences were statistically significant ( P<0.05). Different logistic regression models showed that the OR value of model 1 was 1.12 (95% CI: 1.06 -1.20), that of model 2 was 2.21 (95% CI: 1.43 - 3.40), and that of model 3 was 1.10 (95% CI: 1.03 - 1.18) and 1.95 (95% CI: 1.24 - 3.07). The average accuracy of model 1, model 2, and model 3 were 0.68±0.14, 0.66±0.11, and 0.72±0.13, respectively. The C statistic, Kendall's Tau-a rank correlation coefficient, R2 and Bril score of model 3 were better than those of model 1 and model 2, and the different models fit well ( P<0.05). The calibration curve results of 500 resampling showed that the calibration degree of model 2 was better than that of model 1 and model 3, and the predictive ability of model 3 was improved compared with model 1, and the IDI was increased by 0.08 ( P<0.01). Compared with model 2, the reclassification ability of cases and the comprehensive discrimination ability of model 3 were improved ( P<0.01). The decision curves of different models showed that the net benefit of model 3 was higher than that of single model 1 and model 2 when the prediction probability was about 25% to 55%, while the benefits of model 1, model 2 and model 3 in other probability prediction intervals were basically equal. Conclusions:Both APACHE Ⅱ score and CURB-65 score have certain predictive power for prognosis of patients with emergency severe pneumonia and ARDS, and their combination has the best prediction effect. CURB-65 score has fewer parameters, and its prognostic benefit in emergency patients with severe pneumonia complicated with ARDS is basically equivalent to APACHE Ⅱ score, which may be more suitable for the prognosis evaluation of emergency patients with severe pneumonia complicated with ARDS.

Objective:To explore the evaluation value of sequential organ failure assessment (SOFA) score at different time points in the prognosis of patients with severe pneumonia combined with acute respiratory distress syndrome (ARDS).Methods:A retrospective cohort study method was conducted, including patients with severe pneumonia and ARDS admitted to the emergency intensive care unit (ICU) of General Hospital of Ningxia Medical University from January 2015 to December 2019. General clinical data such as gender, age, and the SOFA scores at 1, 2, 3, and 7 days after admission were recorded. According to the diagnostic test, the prognostic evaluation value of SOFA score in patients with severe pneumonia combined with ARDS at different time points and different ages was analyzed.Results:A total of 88 cases were included in this study, eventually, 42 cases were survived and 46 cases died, the mortality was 52.27%. The age of the death group was significantly older than the survival group (years old: 60.67±14.66 vs. 51.91±15.97), the SOFA score at each time point were significantly higher than those in the survival group (9.83±3.50 vs. 7.54±2.67, 9.98±3.75 vs. 7.48±2.92, 10.84±4.14 vs. 7.23±2.94, 11.71±4.03 vs. 6.51±3.22, respectively at 1, 2, 3, 7 days after admission, all P < 0.01). The receiver operator characteristic curve (ROC curve) showed that the SOFA score at 1, 2, 3, and 7 days after admission had a certain predictive value for the prognosis of patients with severe pneumonia combined with ARDS (all P < 0.01), and with the prolong of ICU stay, the area under ROC curve (AUC) of SOFA score had gradually increased. On the 7th day after admission, the SOFA score had the highest sensitivity in predicting severe pneumonia combined with ARDS patients, which was 92.86%, and the specificity was the highest on the 3rd day after admission, which was 88.10%. The AUC in day 7 was significantly higher than day 2 (0.85 vs. 0.72) , there was no statistically significant difference of AUC at other time points. After stratifying by age, the diagnostic of sensitivity, specificity, accuracy, and AUC of SOFA score for the prognosis had gradually increased, and the predictive value was better. However, only on day 3 after admission, the AUC of SOFA score was significantly higher than day 1 (0.80 vs. 0.77, P < 0.05), and there was no significant difference in AUC at other time points. In patients older than 60 years old, the AUC of the SOFA score predicting the prognosis of patients was relatively small on day 1 and day 2 (0.67, 0.68, respectively), the ability was poor. There was no statistically significant difference in the AUC of SOFA scores at each time point in evaluating the prognosis of patients. The trends over time of patients at different ages and time points showed that regardless of age, the SOFA scores of the patients in the death group showed an upward trend, while showed a downward trend in the survival group, the difference reached the largest on the 7th day after admission, and the death group was significantly higher than the survival group (age < 60 years old: 12.50 vs. 6.69; age≥60 years old: 11.58 vs. 6.21). Conclusion:The initial SOFA score has a certain value in the evaluation of prognosis of severe pneumonia patients combined with ARDS, but the effect is poor for elderly patients.