Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.

OBJECTIVE: To investigate the clinical value of analgesia and sedation under bispectral index (BIS) monitoring combined with hydraulic coupled intracranial pressure (ICP) monitoring in severe craniocerebral injury (sTBI). METHODS: (1) A prospective self-controlled parallel control study was conducted. A total of 32 patients with sTBI after craniotomy admitted to the intensive care unit (ICU) of the First People's Hospital of Huzhou from December 2020 to July 2021 were selected as the research objects. ICP was monitored by Codman monitoring system and hydraulically coupled monitoring system, and the difference and correlation between them were compared. (2) A prospective randomized controlled study was conducted. A total of 108 sTBI patients admitted to the ICU of the First People's Hospital of Huzhou from August 2021 to August 2022 were selected patients were divided into 3 groups according to the random number table method. All patients were given routine treatment after brain surgery. On this basis, the ICP values of the patients in group A (35 cases) were monitored by Codman monitoring system, the ICP values of the patients in group B (40 cases) were monitored by hydraulic coupling monitoring system, and the ICP values of the patients in group C (33 cases) were monitored combined with hydraulic coupling monitoring system, and the analgesia and sedation were guided by BIS. The ICP after treatment, cerebrospinal fluid drainage time, ICP monitoring time, ICU stay time, complications and Glasgow outcome score (GOS) at 6 months after surgery were compared among the 3 groups. In addition, patients in group B and group C were further grouped according to the waveforms. If P₁ = P₂ wave or P₂ and P₃ wave were low, they were classified as compensatory group. If the round wave or P₂ > P₁ wave was defined as decompensated group, the GOS scores of the two groups at 6 months after operation were compared. RESULTS: (1) There was no significant difference in ICP values measured by Codman monitoring system and hydraulic coupling monitoring system in the same patient (mmHg: 11.94±1.76 vs. 11.88±1.90, t = 0.150, P = 0.882; 1 mmHg≈0.133 kPa). Blan-altman analysis showed that the 95% consistency limit (95%LoA) of ICP values measured by the two methods was -4.55 to 4.68 mmHg, and all points fell within 95%LoA, indicating that the two methods had a good correlation. (2) There were no significant differences in cerebrospinal fluid drainage time, ICP monitoring time, ICU stay time, and incidence of complications such as intracranial infection, intracranial rebleeding, traumatic hydrocephalus, cerebrospinal fluid leakage, and accidental extubation among the 3 groups of sTBI patients (P > 0.05 or P > 0.017). The ICP value of group C after treatment was significantly lower than that of group A and group B (mmHg: 20.94±2.37 vs. 25.86±3.15, 26.40±3.09, all P < 0.05), the incidence of pulmonary infection (9.1% vs. 45.7%, 42.5%), seizure (3.0% vs. 31.4%, 30.0%), reoperation (3.0% vs. 31.4%, 40.0%), and poor prognosis 6 months after operation (33.3% vs. 65.7%, 65.0%) were significantly lower than those in group A and group B (all P < 0.017). According to the hydraulic coupling waveform, GOS scores of 35 patients in the compensated group were significantly higher than those of 38 patients in the decompensated group 6 months after operation (4.03±1.18 vs. 2.39±1.50, t = 5.153, P < 0.001). CONCLUSIONS The hydraulic coupled intracranial pressure monitoring system has good accuracy and consistency in measuring ICP value, and it can better display ICP waveform changes than the traditional ICP monitoring method, and has better prediction value for prognosis evaluation, which can replace Codman monitoring to accurately guide clinical work. In addition, analgesia and sedation under BIS monitoring combined with hydraulic coupled ICP monitoring can effectively reduce ICP, reduce the incidence of complications, and improve the prognosis, which has high clinical application value.
Humans ; Intracranial Pressure ; Prospective Studies ; Monitoring, Physiologic/methods* ; Craniocerebral Trauma ; Analgesia ; Cerebrospinal Fluid Leak

Objective:To explore the effect of large-volume versus restrictive fluid resuscitation on hemodynamics and prognosis in patients with severe acute pancreatitis (SAP). Methods:A total of 102 patients with severe acute pancreatitis who received treatment in The Second People's Hospital of Hefei, China between March 2018 and December 2020 were included in this study. They were randomly assigned to undergo large-volume fluid resuscitation (control group, n = 51) or restrictive-volume fluid resuscitation (study group, n = 51). Hemodynamic indexes, intra-abdominal pressure and pulmonary function were compared between the two groups before and after resuscitation. All patients were followed up for 28 days after admission and their prognosis was recorded. Results:At 12 and 24 hours of resuscitation, intrathoracic blood volume index, global end-diastolic volume index, cardiac index, and central venous pressure in the study group were significantly higher than those in the control group (all P < 0.05). At 6 hours of resuscitation, cardiac index and central venous pressure in the study group were (4.87 ± 0.48) and (11.04 ± 2.08), respectively, which were significantly higher than those in the control group [(4.53 ± 0.57), (9.48 ± 1.67), t = 3.25, 4.17, both P < 0.05). Before resuscitation, there was no significant difference in intra-abdominal pressure between the two groups ( P > 0.05). After resuscitation, intra-abdominal pressure in each group was significantly lower compared with that before resuscitation (both P < 0.05). After resuscitation, intra-abdominal pressure in the study group was significantly lower than that in the control group [(12.78 ± 2.35) cmH 2O vs. (15.01 ± 2.42) cmH 2O, t = 4.72, P < 0.05). Before resuscitation, there were no significant differences in PaO 2 and oxygenation index between two groups (both P < 0.05). After resuscitation, PaO 2 and oxygenation index in each group were significantly higher compared with those before resuscitation (both P < 0.05). After resuscitation, PaO 2 and oxygenation index in the study group were significantly higher than those in the control group ( t = 3.02, 5.55, both P < 0.05). The incidence of abdominal compartment syndrome and the incidence of invasive mechanical ventilation in the study group were 27.45% (14/51) and 35.29% (18/51), respectively, which were significantly lower than those in the control group [47.06% (24/51), 56.86% (29/51), χ 2 = 4.19, 4.77, both P < 0.05). There were no significant differences in the incidence of multiple organ dysfunction syndrome, acute renal injury, abdominal drainage rate, mortality between the two groups (all P > 0.05). Conclusion:Compared with large-volume fluid resuscitation, restrictive-volume fluid resuscitation can better improve hemodynamic indexes and pulmonary function, greatly decrease intra-abdominal pressure, and improve prognosis in patients with severe acute pancreatitis.

Objective:To investigate the effect of a breathing pattern intervention (RPI) on the oral feeding of pre-term infants with suck-swallow-breath (SSwB) coordination disorder.Methods:Sixty pre-term infants with SSwB coordination disorder were divided into an observation group ( n=30) and a control group ( n=30) using a random number table. Both groups were given routine feeding training, including oral exercise intervention, non-nutritive sucking training, and swallowing induction training during nursing, while the observation group was additionally provided with 15 minutes of breathing pattern training once a day, including breathing pattern observation, resistive breathing training prior to eating and passive breathing pattern intervention during eating. Before and after the 7-day intervention, the Pre-term Infant Oral Feeding Readiness Assessment (PIOFRA) was used to evaluate each subject′s oral feeding ability. Rate of transfer (RT), proficiency (PRO), minimum oxygen partial pressure (SaO 2) and SaO 2 fluctuations were also recorded during the feeding process. Results:After 1 week of the intervention, significant improvement was observed in both groups. In the observation group the average RT (2.76±0.36ml/min), PRO, minimum SaO 2, the number of SaO 2 fluctuations, and PIOFRA score (33.28±0.58) were all significantly better than the control group′s averages. Conclusion:Breathing pattern intervention based on routine feeding training can enhance breathing coordination during swallowing and ultimately improve the oral feeding of pre-term infants with SSwB coordination disorders in a relatively short period of time.

Objective:To investigate the application value of pre-suture craniotomy combined with intracranial pressure monitoring in surgery for posttraumatic acute diffuse brain swelling (PADBS).Methods:One hundred and fifty-seven patients with PADBS admitted to our hospital from February 2015 to December 2019 were chosen in our study; 68 patients (control group), admitted to our hospital from February 2015 to June 2017, underwent controlled decompression under intracranial pressure monitoring; and 89 patients (treatment group), admitted to our hospital from June 2017 to December 2019, were performed pre-suture craniotomy combined with controlled decompression under intracranial pressure monitoring. The craniotomy time, brain tissue exposure time, cranial closure time, incidence of acute encephalocele, and Glasgow outcome scale (GOS) scores at 6 months after injury were retrospectively analyzed and compared between the two groups.Results:As compared with those in the control group, the patients in the treatment group had significantly longer intraoperative craniotomy time ([19.2±1.6] min vs. [15.4±1.4] min), significantly shorter exposure time of brain tissues ([18.5±2.4] min vs. [26.3±2.2] min), significantly shorter time of cranial closure ([11.2±1.5] min vs. [18.3±2.1] min), and statistically lower incidence of acute encephalocele (22.5% vs. 38.2%), P<0.05). The good prognosis rate of the treatment group (70.8%) was significantly higher than that of the control group (50.0%), and the mortality rate (6.7%) was statistically lower than that of the control group (17.6%, P<0.05). Conclusion:Pre-suture craniotomy combined with controlled decompression under intracranial pressure monitoring can shorten the time of cranial closure and brain tissue exposure, reduce the incidence of acute encephalocele, and ultimately improve the prognosis of patients with posttraumatic acute diffuse brain swelling.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Objective:To explore the effects of K-ras gene on the expressions of oncogenes and cancer suppressor genes in human bronchial epithelial (HBE) cells which were exposed to PM 2.5. Methods:According to the mRNA sequence of K-ras gene provided by GenBank in September 2019, interference sequences were designed and synthesized, and the recombinant lentiviral vector was transfected into HBE cell to construct the K-ras gene-silenced cells. HBE cells and K-ras gene-silenced cells were exposed to 10 μg/ml, 50 μg/ml PM 2.5 suspension and 10 μmol/L Cr 6+. Real-time fluorescent quantitative PCR was used to detect the mRNA expression levels of c-myc, c-fos, N-ras, cyclin-D1, p16 and p53 genes, the expression levels of p53 and c-myc proteins were detected by Western blot. Results:In K-ras silenced cell group, K-ras mRNA expression level decreased (80.5%±3.6%) and K-ras protein level decreased (58.9%±4.7%) when compared with the control group ( P<0.01) . Compared with the correspoding cell control group without exposure, the mRNA expression levels of c-myc, c-fos, N-ras and cyclin-D1 genes in HBE cell group exposed to different concentrations of PM 2.5, K-ras silenced cell group exposed to different concentrations of PM 2.5, HBE cell group exposed to 10 μmol/L Cr 6+ and K-ras silenced cell group exposed to 10 μmol/L Cr 6+ were increased, the mRNA expressions of p16 and p53 genes were decreased ( P<0.01) . Compared with HBE cell group exposed to 10 μg/ml PM 2.5, the mRNA expressions of c-myc, c-fos and p16 genes in K-ras silenced cells exposed to 10 μg/ml PM 2.5 were decreased, and the p53 mRNA level was increased ( P<0.01) . Compared with HBE cell group exposed to 50 μg/ml PM 2.5, the mRNA expression levels of c-fos, N-ras, cyclin-D1, p16 and p53 genes in K-ras silenced cell group exposed to 50 μg/ml PM 2.5 were decreased ( P<0.01) . Compared with the HBE cell group without exposure, c-myc protein increased and p53 protein decreased in HBE cells exposed to 50 μg/ml PM 2.5 ( P<0.05) . Compared with the K-ras silenced cell group without exposure, c-myc protein increased in K-ras silenced cells exposed to 50 μg/ml PM 2.5 ( P<0.05) . Conclusion:PM 2.5 can increase the expression levels of oncogenes in HBE cells, and K-ras gene silencing can inhibit the expression levels of oncogenes in HBE cells treated with PM 2.5.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Objective:To explore the effects of K-ras gene on the expressions of oncogenes and cancer suppressor genes in human bronchial epithelial (HBE) cells which were exposed to PM 2.5. Methods:According to the mRNA sequence of K-ras gene provided by GenBank in September 2019, interference sequences were designed and synthesized, and the recombinant lentiviral vector was transfected into HBE cell to construct the K-ras gene-silenced cells. HBE cells and K-ras gene-silenced cells were exposed to 10 μg/ml, 50 μg/ml PM 2.5 suspension and 10 μmol/L Cr 6+. Real-time fluorescent quantitative PCR was used to detect the mRNA expression levels of c-myc, c-fos, N-ras, cyclin-D1, p16 and p53 genes, the expression levels of p53 and c-myc proteins were detected by Western blot. Results:In K-ras silenced cell group, K-ras mRNA expression level decreased (80.5%±3.6%) and K-ras protein level decreased (58.9%±4.7%) when compared with the control group ( P<0.01) . Compared with the correspoding cell control group without exposure, the mRNA expression levels of c-myc, c-fos, N-ras and cyclin-D1 genes in HBE cell group exposed to different concentrations of PM 2.5, K-ras silenced cell group exposed to different concentrations of PM 2.5, HBE cell group exposed to 10 μmol/L Cr 6+ and K-ras silenced cell group exposed to 10 μmol/L Cr 6+ were increased, the mRNA expressions of p16 and p53 genes were decreased ( P<0.01) . Compared with HBE cell group exposed to 10 μg/ml PM 2.5, the mRNA expressions of c-myc, c-fos and p16 genes in K-ras silenced cells exposed to 10 μg/ml PM 2.5 were decreased, and the p53 mRNA level was increased ( P<0.01) . Compared with HBE cell group exposed to 50 μg/ml PM 2.5, the mRNA expression levels of c-fos, N-ras, cyclin-D1, p16 and p53 genes in K-ras silenced cell group exposed to 50 μg/ml PM 2.5 were decreased ( P<0.01) . Compared with the HBE cell group without exposure, c-myc protein increased and p53 protein decreased in HBE cells exposed to 50 μg/ml PM 2.5 ( P<0.05) . Compared with the K-ras silenced cell group without exposure, c-myc protein increased in K-ras silenced cells exposed to 50 μg/ml PM 2.5 ( P<0.05) . Conclusion:PM 2.5 can increase the expression levels of oncogenes in HBE cells, and K-ras gene silencing can inhibit the expression levels of oncogenes in HBE cells treated with PM 2.5.

Objective:To explore the relationship between death indicators and unplanned return indicators on healthcare quality evaluation.Methods:A total of 836 976 medical record data were collected from 31 tertiary public general hospitals in a diagnosis-related groups(DRG) data platform in 2017. Multiple death indices(low and low-risk risk group mortality, high-risk group mortality, crude mortality, and risk adjusted mortality) and unplanned return indices(31-day unplanned readmission rate and 31-day unplanned return to surgery rate) were calculated. Pearson′s correlation coefficient was used to examine the relationships among those indices.Results:Death indicators were correlated with each other, but the unplanned readmission rate was not correlated with the unplanned reoperation rate( r=0.305). There was no correlation between unplanned re-entry rate and death rate. The correlation coefficients were as follows: unplanned readmission rate versus low and low-risk group mortality( r=-0.227), versus high-risk group mortality( r=-0.098), versus actual mortality( r=-0.130), versus risk adjusted mortality( r=0.010); unplanned reoperation rate versus low and low-risk group mortality( r=0.105), versus high-risk group mortality( r=0.030), versus actual mortality( r=-0.004), versus risk adjusted mortality( r=-0.141). Conclusions:The indicators of death and the indicators of unplanned return are not the same in terms of actual management technology and evaluation effect. They are complementary to each other and can form an ideal combination of quality evaluation indicators.