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Objective:To explore the independent risk factor for in-hospital mortality of patients with multiple trauma, and to construct a prediction model of risk of death and validate its efficacy.Methods:A retrospective cohort study was performed to analyze the clinical data of 1 028 patients with multiple trauma admitted to Affiliated Hospital of Jiangsu University from January 2011 to December 2021. There were 765 males and 263 females, aged 18-91 years[(53.8±12.4)years]. The injury severity score (ISS) was 16-57 points [(26.3±7.6)points]. There were 153 deaths and 875 survivals. A total of 777 patients were enrolled as the training set from January 2011 to December 2018 for building the prediction model, while another 251 patients were enrolled as validation set from January 2019 to December 2021. According to the outcomes, the training set was divided into the non-survival group (115 patients) and survival group (662 patients). The two groups were compared in terms of the gender, age, underlying disease, injury mechanism, head and neck injury, maxillofacial injury, chest injury, abdominal injury, extremity and pelvis injury, body surface injury, damage control surgery, pre-hospital time, number of injury sites, Glasgow coma score (GCS), ISS, shock index, and laboratory test results within 6 hours on admission, including blood lactate acid, white blood cell counts, neutrophil to lymphocyte ratio (NLR), platelet counts, hemoglobin, activated partial thromboplastin time (APTT), fibrinogen, D-dimer and blood glucose. Univariate analysis and multivariate Logistic regression analysis were performed to determine the independent risk factors for in-hospital mortality in patients with multiple trauma. The R software was used to establish a nomogram prediction model based on the above risk factors. Area under the receiver operating characteristic (ROC) curve (AUC), calibration curve and clinical decision curve analysis (DCA) were plotted in the training set and the validation set, and Hosmer-Lemeshow goodness-of-fit test was performed.Results:Univariate analysis showed that abdominal injury, extremity and pelvis injury, damage control surgery, GCS, ISS, shock index, blood lactic acid, white blood cell counts, NLR, platelet counts, hemoglobin, APTT, fibrinogen, D-dimer and blood glucose were correlated with in-hospital mortality in patients with multiple trauma ( P<0.05 or 0.01). Logistic regression analysis showed that GCS≤8 points ( OR=1.99, 95% CI 1.12,3.53), ISS>25 points ( OR=7.39, 95% CI 3.50, 15.61), shock index>1.0 ( OR=3.43, 95% CI 1.94,6.08), blood lactic acid>2 mmol/L ( OR=9.84, 95% CI 4.97, 19.51), fibrinogen≤1.5 g/L ( OR=2.57, 95% CI 1.39,4.74) and blood glucose>10 mmol/L ( OR=3.49, 95% CI 2.03, 5.99) were significantly correlated with their in-hospital mortality ( P<0.05 or 0.01). The ROC of the nomogram prediction model indicated that AUC of the training set was 0.91 (95% CI 0.87, 0.93) and AUC of the validation set was 0.90 (95% CI 0.84, 0.95). The calibration curve showed that the predicted probability was consistent with the actual situation in both the training set and validation set. DCA showed that the nomogram prediction model presented excellent performance in predicting in-hospital mortality. In Hosmer-Lemeshow goodness-of-fit test, χ2 value of the training set was 9.69 ( P>0.05), with validation set of 9.16 ( P>0.05). Conclusions:GCS≤8 points, ISS>25 points, shock index>1.0, blood lactic acid>2 mmol/L, fibrinogen≤1.5 g/L and blood glucose>10 mmol/L are independent risk factors for in-hospital mortality in patients with multiple trauma. The nomogram prediction model based on these 6 predictive variables shows a good predictive performance, which can help clinicians comprehensively assess the patient′s condition and identify the high-risk population.
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Objective To assess the influence between managements in emergency room(ER) andoutcome of severe traumatic brain injury (TBI),in order to provide inference for treatment.Methods A retrospective analysis was performed in severe TBI patients and recorded next indexes.(1) The managements in ER,including endotracheal intubation and oxygenation,fluid resuscitation,and mannitol intake.(2) The vital signs arriving at ICU,including systolic pressure and blood oxygen saturation.(3) Prognostic indicators including inhospital mortality and days during ICU,the scores of Glasgow outcome scale (GOS) at discharge and 6 months after injury.Results In 140 severe TBI patients,65 patients (46.4％) died during ICU.The mortality of patients with endotracheal intubation [65.0％ (39/60)] was significantly higher than that without endotracheal intubation [32.5％(26/80)](P＜ 0.01).The mortality in whether fluid resuscitation and using mannitol had no significant difference [44.7％ (46/103) vs.51.4％ (19/37),49.2％ (31/63) vs.44.2％ (34/77)] (P ＞0.05).In days during ICU,there was no significant difference among the three treatment measures (P＞ 0.05).In GOS grade at discharge and 6 months after injury,the proportion of 4 and 5 grade were 8.3％ (5/60) and 25.0％ (15/60) in patients with endotracheal intubation,while 27.5％ (22/80) and 52.5％ (42/80) in patients without endotraeheal intubation (P ＜ 0.01).In fluid resuscitation and using mannitol patients,there were no significant difference(P ＞ 0.05).Conclusion Treating severe TBI patients in ER,endotracheal intubation should be carefully chosen,fluid resuscitation and mannitol may not be given.
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AIM: To observe the protein expression of vascular endothelial growth factor 1 (VEGF-1) in pulmonary arterial endothelial cells and VEGF-1 gene expression in lung tissue in rats with hypoxia-induced pulmonary hypertension and treated with heparin. METHODS: Twenty four male adult SD rats were randomly divided into three groups (8 rats each): a control group (group A), a group with hypoxia for 4 weeks (group B) and a group with hypoxia for 4 weeks and injected with heparin to abdominal cavity simultaneously (group C). Mean pulmonary arterial pressure (mPAP), right ventricle hypertrophy index (RVHI) and vessel morphometry were measured. The morphology of pulmonary artery was observed by HE staining. The expression of VEGF-1 protein in pulmonary arterial endothelial cells was determined by immunohistochemistry. The level of VEGF-1 mRNA in lung tissue was measured by reverse transcription polymerase chain reaction (RT-PCR). RESULTS: mPAP, RVHI, pulmonary artery remodeling parameters, VEGF-1 protein expression in pulmonary arterial endothelial cells and VEGF-1 gene expression in lung tissue of the three groups from high to low were group B, group C and group A. It was statistically significant when compared between either two groups of the three (P<0.01). Linear correlation analysis showed that VEGF-1 protein was positively correlated with pulmonary artery remodeling parameters (r=0.974, P<0.01), and VEGF-1 mRNA was positively correlated with VEGF-1 protein (VEGF 120 mRNA, r=0.919, P<0.01; VEGF164 mRNA, r=0.896, P<0.01). CONCLUSION: Heparin may down-regulate the expression of VEGF-1 at the levels of transcription and translation, resulting in the inhibitory effect on rats with hypoxia-induced pulmonary hypertension.