1.Development and validation of survival prediction model for one-year mortality after surgery for intertrochanteric fractures in elderly patients
Jinliang SONG ; Youlin WENG ; Fuwen ZHENG ; Zutao LI ; Yu CAI ; Wei WANG
Chinese Journal of Geriatrics 2024;43(10):1299-1305
Objective:To investigate the risk factors associated with one-year mortality following surgery for intertrochanteric fractures in elderly patients and develop a survival prediction model.Methods:A retrospective analysis was conducted on clinical data from 532 elderly patients with intertrochanteric fractures admitted to the People's Hospital of Xinjiang Uygur Autonomous Region and the People's Hospital of Xinyang between January 2020 and September 2022.Patient demographics, laboratory indicators, and surgical variables were documented.The primary outcome assessed was the one-year mortality rate.Risk factors were identified through univariate and multivariate Cox regression analyses, leading to the development of a prognostic model.The model's predictive performance was evaluated using the Concordance Index(C-Index), time-dependent receiver operating characteristic(ROC)curve, calibration curve, and decision curve analysis(DCA).Results:Multivariate Cox regression analysis identified several key factors associated with one-year mortality after intertrochanteric fractures in elderly patients.These factors included the modified five-item frailty index( OR=1.338, 95% CI: 1.147-1.561, P<0.001), ICU admission( OR=1.694, 95% CI: 1.230-2.333, P=0.001), preoperative hemoglobin levels( OR=1.281, 95% CI: 1.016-1.616, P=0.036), surgical waiting time( OR=1.570, 95% CI: 1.063-2.319, P=0.023), and age( OR=2.196, 95% CI: 1.712-2.816, P<0.001).The prediction model showed good consistency with a C-Index of 0.769(95% CI: 0.723-0.818)in the modeling group and 0.715(95% CI: 0.612-0.750)in the validation group.Time-dependent ROC areas under the curve were 0.802(95% CI: 0.722-0.850)and 0.718(95% CI: 0.640-0.808)for the modeling and validation groups, respectively.Calibration curves for both groups indicated a good model fit, and decision curve analysis demonstrated a positive net benefit, highlighting the clinical applicability of the model. Conclusions:The modified five-item frailty index, ICU admission, preoperative hemoglobin, surgical waiting time, and age independently predict one-year mortality after surgery for intertrochanteric fractures in elderly patients.This prognostic model, utilizing these factors, shows high predictive accuracy, assisting clinicians in quick personalized assessments and setting informed expectations in clinical practice.
2.Effect of targeted silencing Notch1 on proliferation and apoptosis of human non-small cell lung cancer stem cells
Hengyao LIU ; Yanling MU ; Yan WANG ; Fuwen WANG ; Guoli ZHAO ; Zhaopeng WANG ; Shuping ZHOU ; Haibo CAI ; Yueying ZHANG
Journal of International Oncology 2019;46(2):65-71
Objective To investigate the effect of targeted silencing Notch1 on proliferation and apoptosis of human non-small cell lung cancer stem cells.Methods Lung cancer A549 cells and SPC-A-1 cells were selected and divided into control group,Nc-shRNA group and Notch1-shRNA group.The Nc-shRNA group was a negative control RNAi lentivirus group,and the Notch1-shRNA group was a Notch1 inhibitory RNAi lentivirus group.The lentiviral-mediated shRNA interference technology was used to target the silencing of Notch1.The silencing effect of Notch1 gene was verified by quantitative real time polymerase chain reaction (qRT-PCR) and Western blotting.Cell proliferation was detected by methyl thiazolyl tetrazolium (MTT) and sarcosphere formation assay.Apoptosis was detected by Annexin V/7-AAD double staining.Western blotting was used to detect the expression of proliferating cell nuclear antigen (PCNA),B-cell lymphoma-2 (Bcl-2) and Notch1 downstream gene Hes-1.Results The results of qRT-PCR showed that the relative expression levels of Notch1 in control group,Nc-shRNA group and Notch1-shRNA group in A549 cells and SPC-A-1 cells were 1.000 ± 0.000,0.937 ± 0.025,0.490 ± 0.036 and 1.000 ± 0.000,1.077 ± 0.070,0.373± 0.038,with statistically significant differences (F =359.707,P <0.001;F =210.455,P <0.001),further paired comparison,the relative expression of Notch1 in Notch1-shRNA group was significantly lower than that in Nc-shRNA group (all P < 0.05).Western blotting showed that the expressions of Notch1 protein in A549 cells and SPC-A-1 cells were consistent with the mRNA results.MTT assay showed that the 24 h A values of A549 cells in control group,Nc-shRNA group and Notch1-shRNA group were 0.209 ± 0.005,0.219 ± 0.009,0.159 ±0.006,48 h A values were 0.293 ± 0.004,0.302 ± 0.004,0.205 ± 0.005,72 h A values were 0.450 ± 0.003,0.430 ± 0.012,0.348 ± 0.017,with statistically significant differences (F =79.487,P<0.001;F =508.664,P <0.001;F =57.156,P <0.001),further paired comparison,the proliferation ability of Notch1-shRNA group was significantly lower than that of Nc-shRNA group at 24,48,72 h (all P < 0.05).The 48 h A values of SPC-A-1 cells in control group,Nc-shRNA group and Notch1-shRNA group were 0.438 ±0.022,0.412 ± 0.015,0.364 ± 0.010,72h A values were 0.540 ± 0.016,0.519 ± 0.009,0.438 ± 0.019,with statistically significant differences (F =15.667,P =0.004;F =37.299,P < 0.001),further paired comparison,the proliferation ability of Notch1-shRNA group was significantly lower than that of Nc-shRNA group at 48 h and 72 h (all P < 0.05).The sphere sizes of control group,Nc-shRNA group and Notch1-shRNA group in A549 cells were (149.667 ± 6.506) μm,(136.667 ± 7.095) μm,(86.676 ± 7.638) μm,with statistically significant difference (F =65.940,P < 0.001).The sphere sizes of the three groups in SPC-A-1 cells were (118.667 ± 6.658) μm,(128.000 ± 7.000) μm,(60.675 ± 4.509) μm,with statistically significant difference (F =105.372,P <0.001).Further paired comparison,the sphere size of Notch1shRNA group was significandy smaller than that of Nc-shRNA group in the two kinds of cells (all P < 0.05).The apoptosis rates of control group,Nc-shRNA group and Notch1-shRNA group in A549 cells and SPC-A-1cells were (0.489 ± 0.014)%,(0.633 ± 0.021)%,(1.683 ± 0.221)% and (1.323 ± 0.194)%,(1.690 ± 0.188) %,(3.017 ± 0.356) %,with statistically significant differences (F =77.660,P < 0.001;F=32.200,P =0.001),further paired comparison,the apoptosis rate of Notch1-shRNA group was significantly higher than that of Nc-shRNA group in the two kinds of cells (all P < 0.05).Western blotting showed that the expressions of PCNA,Bcl-2 and Hes-1 in control group,Nc-shRNA group and Notch1-shRNA group in A549 cells were statistically significant (F =155.343,P < 0.001;F =22.576,P =0.002;F =70.108,P<0.001),and the expressions of PCNA,Bcl-2 and Hes-1 in the three groups in SPC-A-1 cells were statistically significant (F =49.419,P <0.001;F =28.090,P =0.001;F =12.040,P =0.007).Further paired comparison,the expressions of PCNA,Bcl-2 and Hes-1 in Notch1-shRNA group were significantly lower than those in Nc-shRNA group in the two kinds of cells,and the differences were statistically significant (all P <0.05).Conclusion Targeted silencing of Notch1 can reduce the proliferation activity of lung cancer stem cells and promote apoptosis,which may be related to the down-regulation of its downstream gene Hes-1.
3.Epidemiological characteristics on temporal-spatial distribution of varicella in Guangxi Zhuang Autonomous Region, 2014-2016
Yiqing XU ; Zhizhi FU ; Jianyu ZHOU ; Gehong DENG ; Chen GONG ; Fuwen CAI ; Shanshan HAN
Chinese Journal of Epidemiology 2017;38(10):1390-1393
Objective To analyze the epidemiological characteristics of temporal-spatial distribution on varicella in Guangxi Zhuang Autonomous Region (Guangxi) during 2014 to 2016.Methods Incidence data on varicella was collected from the National Notifiable Infectious Disease Reporting Information System (NNIDRIS) of the Center for Disease Control and Prevention (CDC)while geographic information data was from the national CDC.ArcGIS 10.2 software was used to analyze global and local spatial auto correlation on spatial clusters.SaTScan v9.1.1 was used to conduct temporal-spatial scan for exploring the areas of temporal-spatial clusters.Results The overall incidence rates of varicella during 2014 to 2016 were 32.48/100 000,43.56/100 000 and 61.56/100 000 respectively.Incidence of varicella showed a positive spatial auto correlation at the county level (the value of Moran's I was between 0.24 to 0.35,P<0.01),with consistent high morbidity.High-high cluster areas were seen and mainly concentrated in the north-western areas of Guangxi.Result from the temporal-spatial scan showed that temporal cluster of varicella occurred mainly between October and next January while the type I cluster area was mainly distributed in all of the counties in Hechi city and most counties of Baise city,with most counties being covered in the north-western areas of Guangxi,during 2014-2016.When comparing to data from the last two years,two type Ⅱ cluster areas with larger scales were formed in the north-eastern area of Guanyang county and Haicheng county of southem area in Guangxi,in 2016.Conclusions Incidence on Varicella seemed on the rise,and the distribution of cases showed clustered features,both on time and space.Strategies regarding control and prevention on Varicella should focus on high-high clustered areas,namely north-western areas of the province,including surrounding areas during the high onset season.
4.Notch signaling pathway in lung cancer and lung cancer stem cells and its inhibitors
Hengyao LIU ; Guoli ZHAO ; Fuwen WANG ; Haibo CAI ; Yueying ZHANG
Journal of International Oncology 2018;45(4):250-252
Notch signaling pathway is involved in the abnormal differentiation and self-renewal of lung cancer stem cells.The further studies for the roles of Notch signaling pathway in the regulation of lung cancer stem cells are expected to find new targets in the diagnosis and treatment of lung cancer.Inhibitors of the Notch signaling pathway may be effective in the treatment of lung cancer.Lung cancer stem cells are thought to be a major cause of recurrence of lung cancer,therefore,targeted therapy for lung cancer stem cells may be more effective than treatment for the entire tumor.