Background Previously identified phenotypes of acute respiratory distress syndrome (ARDS) could not reveal the dynamic change of phenotypes over time. We aimed to identify novel clinical phenotypes in ARDS using trajectories of fluid balance, to test whether phenotypes respond differently to different treatment, and to develop a simplified model for phenotype identification. Methods FACTT (conservative vs liberal fluid management) trial was classified as a development cohort, joint latent class mixed models (JLCMMs) were employed to identify trajectories of fluid balance. Heterogeneity of treatment effect (HTE) for fluid management strategy across phenotypes was investigated. We also constructed a parsimonious probabilistic model using baseline data to predict the fluid trajectories in the development cohort. The trajectory groups and the probabilistic model were externally validated in EDEN (initial trophic vs full enteral feeding) trial. Results Using JLCMM, we identified two trajectory groups in the development cohort: Class 1 (n = 758, 76.4% of the cohort) had an early positive fluid balance, but achieved negative fluid balance rapidly, and Class 2 (n = 234, 24.6% of the cohort) was characterized by persistent positive fluid balance. Compared to Class 1 patients, patients in Class 2 had significantly higher 60-day mortality (53.5% vs. 17.8%, p < 0.001), and fewer ventilator-free days (0 vs. 20, p < 0.001). A significant HTE between phenotypes and fluid management strategies was observed in the FACTT. An 8-variables model was derived for phenotype assignment. Conclusions We identified and validated two novel clinical trajectories for ARDS patients, with both prognostic and predictive enrichment. The trajectories of ARDS can be identified with simple classifier models.

ObjectiveTo investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients.MethodsA retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who underwent tracheotomy in the Affiliated Hospital of Yangzhou University from February 2015 to October 2021. According to the time from tracheal intubation to tracheostomy after admission, the patients were divided into two groups: the early tracheostomy group (within 7 days after tracheal intubation, ET) and late tracheostomy group (after the 7th day, LT). Propensity score matching (PSM) was used to eliminate the differences in baseline characteristics Logistic regression was used to predict the independent risk factors for early tracheostomy. Kaplan–Meier and Cox survival analyses were used to analyze the influencing factors of the 28-day survival.ResultsAccording to the propensity score matching analysis, a total of 174 patients were finally included in the study. Among them, there were 87 patients in the ET group and 87 patients in the LT group. After propensity score matching, Number of total rib fractures (NTRF) (P < 0.001), Acute respiratory distress syndrome (ARDS) (P < 0.001) and Volume of pulmonary contusion(VPC) (P < 0.000) in the ET group were higher than those in the LT group. Univariate analysis showed that the patients who underwent ET had a higher survival rate than those who underwent LT (P = 0.021). Pearson's analysis showed that there was a significant correlation between NTRF and VPC (r = 0.369, P = 0.001). A receiver operating characteristic(ROC)curve analysis showed that the areas under the curves were 0.832 and 0.804. The best cutoff-value values of the VPC and NTRF were 23.9 and 8.5, respectively. The Cox survival analysis showed that the timing of tracheostomy (HR = 2.51 95% CI, 1.12–5.57, P = 0.004) and age (HR = 1.53 95% CI, 1.00–2.05, P = 0.042) of the patients had a significant impact on the 28-day survival of patients with multiple rib fractures. In addition, The Kaplan–Meier survival analysis showed that the 28-day survival of patients in the ET group was significantly better than that of the LT group, P = 0.01.ConclusionsNTRF, ADRS and VPC are independent risk factors for the timing and prognosis of early tracheotomy. A VPC ≥ 23.9% and/or an NTRF ≥ 8.5 could be used as predictors of ET in patients with multiple rib fractures. Predicting the timing of early tracheostomy also need prediction models in the future.

Objective:To investigate the related factors that affect the timing and prognosis of early tracheostomy in patients with multiple rib fractures.Methods:A retrospective case series study was conducted on medical data of 222 patients with multiple rib fractures who underwent tracheostomy in Affiliated Hospital of Yangzhou University from February 2013 to October 2019，including 160 males and 66 females，with the age of 18 to 85 years ［（49.5 ± 16.3）years］. According to the practice management guidelines for tracheostomy timing and the use of propensity score matching technology，there were 118 patients with tracheostomy within 7 days of tracheal intubation （early group） and 104 patients with tracheostomy after 7 days of tracheal intubation （late group） before matching，and there were 87 patients in early group and 87 patients in late group after matching. Data were compared between groups including the gender，age，underlying disease，injury severity score （ISS），Glasgow coma score （GCS），number of fractured ribs，total number of rib fractures （NTRF），first rib fracture，flail chest，traumatic brain injury，combined injuries （spine，maxillofacial，sternum），acute respiratory distress syndrome （ARDS），volume fraction of pulmonary contusion（VPC），blood lactic acid （within 24 hours of admission），hemothorax，pneumothorax，mechanical ventilation time，duration of tracheostomy，time from tracheal intubation to incision，length of hospital stay，length of stay in ICU，closed thoracic drainage，number of fiberoptic bronchoscopy，multi-drug resistant bacteria infection，ventilator-associated pneumonia，antibiotic use time，duration of sedative and analgesic drugs used and 28-day mortality. The multivariate Logistic regression analysis was used to predict independent risk factors for early tracheostomy. The Pearson method was used to compare the relationship between multiple factors. The receiver operating characteristic （ROC） curve was used to predict indicators that affect the prognosis of patients with early tracheostomy，and calculate the best cut-off value. The Kaplan-Meier single factor and COX multivariate survival were used to analyze the relevant factors affecting the 28-day mortality of patients.Results:（1） In early group，the NTRF，ARDS and VPC were higher than those in late group，and the time from tracheal intubation to incision and 28-day mortality rate were lower than those in late group （ P < 0.05），while the two groups showed no significant differences in the gender，age，underlying diseases and ISS （ P > 0.05）. （2） The multivariate Logistic regression analysis showed that there was statistical significance in NTRF （ OR = 1.775，95% CI 1.439-2.188），ARDS（ OR = 3.740，95% CI 1.441-9.711），VPC （ OR = 1.087，95% CI 1.052-1.124） （ P < 0.05）； the Pearson method analysis showed a significant correlation between VPC and NTRF （ r = 0.369， P < 0.05） and a low degree of correlation between ARDS and VPC （ r = 0.179， P < 0.05），but there was no significant correlation between ARDS and NTRF （ r = 0.132， P > 0.05）. （3） The ROC curve analysis showed that the area under the curve （AUC） of the VPC and NTRF ［AUC = 0.832 （95% CI 0.770-0.893），AUC = 0.804 （95% CI 0.740-0.868）］ were significantly higher than those of the number of rib fractures ［AUC = 0.437（95% CI 0.352-0.523），GCS ［AUC = 0.519 （95% CI 0.432-0.605）］ and ISS ［AUC = 0.484 （95% CI 0.398-0.571）］ （ P < 0.05）. After calculating the Yorden index，the best cut-off value for VPC was 23.9，and the best cut-off value for NTRF was 8.5. （4） The Kaplan-Meier single factor and multivariate COX model survival analysis showed that the 28-day survival ratio of patients with early tracheostomy was significantly better than that of late tracheostomy （ P < 0.05）. Conclusions:The NTRF，ADRS and VPC are independent risk factors for the timing and prognosis of early tracheostomy. There is a significant correlation between VPC and NTRF. The VPC ≥ 23.9% and or NTRF ≥ 8.5 can be used to predict early tracheostomy in patients with multiple rib fractures. Early tracheostomy may benefit the 28-day survival of patients with multiple rib fractures.

目的:探讨早期气管插管对重症颅脑损伤患者预后的具体影响.方法:选取2015年10月-2017年10月我院急救中心收治的80例重症颅脑损伤患者,按照气管插管时间,将其均分为对照组和观察组,对照组采用常规气管插管,观察组采用早期气管插管,对比两组患者的预后效果.结果:观察组患者的预后明显优于对照组,组间各项指标对比存在明显差异(P＜0.05).结论:在重症颅脑损伤患者治疗过程中,给予其早期气管插管治疗,对于改善患者的预后有着非常显著的效果,在临床上具有着极高的推广以及应用价值.