Objectives Discuss free fibula flap apply in mandibular defect reconstruction after oval cavity tumors resection.Methods Retrospectively review 15 cases clinical materials who undertake free fibula flap reconstruct mandibular defection.Madibular meloblastoma 5 cases,madibular fibrosarcoma 2 cases,submadibular gland adenoidcyst carcinoma 3 cases,submadibular gland mucoepidermoid carcinoma 2cases,oral floor high differentiated squamous carcinoma 3 cases.Simple fibular flap 10 cases,comples fibular osteocutaneous flap 5 cases.Results Fourteen cases fibular flap survival and grow well,1 case putrescence due to crisis of circulation postoperation.Conclusion Free fibular flap reconstruction madibular defect can recover patients visage and oral function,improve their survival quality.

Objective To explore the expression of peripheral T cell subgroup (CD3+,CD4+,CD8+,CD4+CD25 high regulatory T cells) and the level and significance of serum cytokines in patients with silicosis.Methods One hundred and six cases patients with silicosis were collected in the Fifth People''s Hospital of Suzhou as study subjects and 56 healthy subjects as control group.Flow cytometry was used to detect the peripheral CD3+,CD4+,CD8+ and CD4+CD25 high regulatory T cells (Treg) of the patients and the control group,while chemiluminescence immunoassay was utilized to measure the peripheral serum soluble interleukin-2 receptor (sIL-2R),interleukin 6 (IL-6),interleukin 8 (IL-8) and tumor necrosis factor α (TNF-α).Results (1) The percentages of peripheral CD3+,CD4+ and CD8+ in the silicosis group were all lower than those in the control group (t=3.755,3.828,2.347,P<0.05);the percentage of Treg cells was higher in the silicosis group than in the control group,the difference was statistically significant (t=-8.345,P<0.05).Compared with the control group,based on the one-way analysis of variance,the differences in CD3+,CD4+,CD8+ and CD4+CD25 high cells were all statistically significant (F=5.620,8.007,26.71,P<0.05);in the silicosis group,the percentage of CD4+ T cells was lower in stage III than in stage I (t=3.424,P<0.05);compared with the control group,the percentages of Treg cells in the silicosis group were lower in all stages (t=-7.934,-9.445,-5.096,P<0.05).(2) The levels of peripheral sIL-2R,IL-6,IL-8 and TNF-α in the silicosis group were higher than those in the control group,the difference were statistically significant(t=-6.952,-4.506,-2.551,-5.670,P<0.05);compared with the control group,based on the one-way analysis of variance,the differences in sIL-2R,IL-6 and TNF-α in all stages were statistically significant (F=11.03,11.31,13.22,P<0.0001);the sIL-2R was higher in patients with stage III silicosis than that of stage I (t=-2.882,P<0.05);IL-6 was significantly higher in stage II and III silicosis group than that of stage I group (t=-3.022,-2.632,P<0.05),and TNF-α was higher in patients with stage II silicosis than patients with stage I silicosis (t=-2.322,P<0.05).(3) The level of peripheral Treg cells was negatively correlated with the percentages of CD3+ and CD8+ cells in patients with silicosis (r=-0.357,-0.508,P<0.05);sIL-R2 was positively correlated with IL-6,IL-8 and TNF-α,respectively (r=0.483,0.199,0.392,P<0.05);TNF-α was positively correlated with IL-6 and IL-8,respectively (r=0.338,0.338,P<0.05).Conclusion Patients with silicosis have abnormal expression in peripheral T cell subgroups,significantly increased Treg cell and dysfunctional cytokines,which may be associated with the pathogenesis of silicosis,the detection of these indicators may have significance of diagnosis,staging,disease monitoring and prognosis of the diseases.

Objective:To explore the risk factors for in-hospital mortality in patients with severe trauma and their predictive predictive value.Methods:A retrospective case-control study was used to analyze the data of 509 patients with severe trauma in the trauma database of the Trauma Center of the Second Affiliated Hospital of Soochow University from January 2017 to December 2021, including 377 males and 132 females, aged 18-94 years [53(42, 65)years]. Injury severity score (ISS) was 16-75 points [22(18, 29)points]. Injured parts included the head and neck in 409 patients (80.35%), the chest in 328(64.44%), the abdomen in 193(37.91%), the pelvis in 142(27.90%), the spine in 79(15.52%), and the limb in 247(48.53%). According to the clinical outcome during the hospital stay, the patients were divided into survival group ( n=390) and non-survival group ( n=119). Baseline and clinical data of the two groups were compared, including gender, age, cause of injury (traffic injury, fall from height, sharp instrument injury, etc.), injury site (head and neck, chest, abdomen, pelvis, spine, limb), vital signs on admission (temperature, systolic blood pressure, heart rate, respiratory rate), blood tests on admission [hemoglobin, platelets, prothrombin time (PT), activated partial thromboplastin time (APTT), international normalized ratio (INR), fibrinogen (FIB)], Glasgow coma scale (GCS) upon admission to the emergency room, revised trauma score (RTS) upon admission to the emergency room, ISS after whole-body CT examination, quick sequential organ failure assessment (qSOFA) score upon admission to the emergency room, and INR combined with qSOFA score. The baseline and clinical data of the survival group and the non-survival group were first compared with univariate analysis. Then, the independent risk factors of in-hospital mortality in patients with severe trauma were determined by multivariate Logistic stepwise regression (forward and backward). Based on the above data, receiver operating characteristic (ROC) curves were generated with Medcalc statistical software to analyze the efficacy of each risk factor in assessing in-hospital mortality in patients with severe trauma. Results:Univariate analysis showed that there were significant differences in age, injury site, temperature, systolic blood pressure, hemoglobin, platelet, PT, APTT, INR, FIB, GCS, RTS, ISS, qSOFA score, and INR combined with qSOFA score between the two groups ( P<0.05 or 0.01), while there were no significant differences in gender, cause of injury, heart rate, and respiratory rate between the two groups ( P>0.05). Multivariate Logistic stepwise regression analysis showed that age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score were significantly correlated with in-hospital mortality in patients with severe trauma ( P<0.01). ROC curve analysis results showed that the area under the curve (AUC) of in-hospital mortality in patients with severe trauma predicted by age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score were 0.63(95% CI 0.59, 0.68) and 0.60(95% CI 0.55, 0.64), 0.66(95% CI 0.62, 0.70), 0.73(95% CI 0.69, 0.77), and 0.75(95% CI 0.72, 0.80), respectively. Conclusions:Age, systolic blood pressure, APTT, ISS, and INR combined with qSOFA score are the independent risk factors for in-hospital mortality in patients with severe trauma. ISS and INR combined qSOFA score can better predict in-hospital mortality of patients with severe trauma than age, systolic blood pressure and APTT.

Hydrogen sulfide (H

Objective: To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district. Methods: A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9, 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR. Results: Among the 8 274 subjects, 2 745 (33.2%) were 2019-nCoV infected; 5 277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (40 vs 56, t=27.569, P<0.001; 52 vs 56, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ²=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract samples were found to be positive for 2019-nCoV nucleic acid test. Conclusion The 2019-nCoV nucleic acid positive rate in male is higher than in female. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.