[Epidemiological characteristics and the establishment and evaluation of a risk prediction model for nosocomial infection in burn patients].

Objective: To find the epidemiological characteristics of nosocomial infection in burn patients, to establish a risk prediction model for nosocomial infection in burn patients based on the screened independent risk factors of the infection, and to analyze its predictive value. Methods: A retrospective case series study was conducted. From May 2016 to December 2019, 3 475 burn patients who were admitted to the Department of Burns of Affiliated Hospital of Jiangnan University met the inclusion criteria, including 2 290 males and 1 185 females, aged from 1 to 94 years. The incidence of nosocomial infection, the detection site and specific composition of pathogenic bacteria were counted. The patients were randomly divided into training group (2 434 cases) and verification group (1 041 cases) in R 4.1.3 statistic software with a ratio of about 7∶3. Factors including gender, age, total burn area, combination of full-thickness burn/inhalation injury/shock/diabetes on admission, admission to intensive care unit (ICU), status of central venous catheterization/endotracheal intubation/urethral catheter indwelling/surgery, nosocomial infection status, days of antibiotic use, and days of hospital stay of patients were compared between the two groups. According to the occurrence of nosocomial infection, the patients were divided into nosocomial infection group (102 cases) and non-nosocomial infection group (3 373 cases), and in addition to the aforementioned data, non-nosocomial infection related data, the season of admission and types of antibiotics used were compared between the two groups. The above-mentioned data were statistically analyzed with one-way analysis of independent sample t test, chi-square test, and Mann-Whitney U test, and the indicators with statistically significant differences between nosocomial infection group and non-nosocomial infection group were included as variables in multivariate logistic regression analysis to screen independent risk factors for the development of nosocomial infection in 3 475 burn patients. On the basis of independent risk factors and important clinical characteristics, a nomogram prediction model was constructed for the risk of developing nosocomial infection of burn patients in training group. In both training group and verification group, receiver operating characteristic (ROC) curves for prediction of nosocomial infection by the prediction model were plotted, and the area under the ROC curve was calculated; calibration curves were plotted to evaluate the conformity between the predicted results of the prediction model and the actual situation; clinical decision curves were plotted to evaluate the clinical utility of the prediction model. Results: The incidence of nosocomial infection of patients included in this study was 2.94% (102/3 475); pathogens were detected from 212 specimens, mainly wound (78 cases, accounting for 36.79%) and blood (64 cases, accounting for 30.19%) specimens; 250 strains of pathogenic bacteria were detected, mainly gram-negative bacteria (153 strains, accounting for 61.20%). All clinical characteristics of patients between training group and verification group were similar (P>0.05). There were statistically significant differences between patients in nosocomial infection group and non-nosocomial infection group in the aspects of age, total burn area, days of antibiotic use, antibiotic use type, days of hospital stay, combination of full-thickness burn, combination of inhalation injury, combination of shock, ICU admission status, central venous catheterization status, endotracheal intubation status, urethral catheter indwelling status, surgery status (with Z values of 4.41, 14.95, 15.70, 650.32, and 13.73, χ2 values of 151.09, 508.30, 771.20, 955.79, 522.67, 967.40, 732.11, and 225.35, respectively, P<0.01). ICU admission, endotracheal intubation, urethral catheter indwelling, and days of hospital stay were independent risk factors for developing nosocomial infection by 3 475 burn patients (with odds ratios of 5.99, 3.39, 9.32, and 6.21, 95% confidence intervals of 2.25-15.99, 1.56-7.39, 2.77-31.31, and 2.48-15.92, respectively, P<0.01). In training group and verification group, the area under ROC curves of the nosocomial infection prediction model based on independent risk factors, total burn area, and central vein catheterization were both 0.97 (with both 95% confidence intervals being 0.95-0.99); the calibration curve analysis showed that the prediction results of the prediction model were in good agreement with the actual situation; the clinical decision curve analysis showed that the prediction model had good clinical utility. Conclusions: The nosocomial infection in burn patients is mainly caused by gram-negative bacteria, with wound as the main infection site, and the independent risk factors including ICU admission, endotracheal intubation, urethral catheter indwelling, and days of hospital stay. Based on independent risk factors and important clinical features, the risk prediction model for nosocomial infection has a good ability to predict nosocomial infection in burn patients.

[Nursing human resource management in the early phase of treatment of severe mass burn patients involved in August 2nd Kunshan factory aluminum dust explosion accident].

In August 2nd Kunshan factory aluminum dust explosion accident 2014, 35 severe mass burn patients were admitted to our hospital, including 18 men and 17 women, aged 21 to 50 (38±9) years. Their severe injuries caused much difficulty to the treatment. In the early period of treatment, a series of measures of nursing human resource management were implemented, such as carrying out training program for non-burn speciality nurses of different levels and origin, grouping and task-dividing, organizing work schedule and assigning in a unified way, and establishing monitoring team of speciality quality. Except for 2 cases of deaths in the early period, the other 33 patients were treated and nursed timely and effectively in the early period. The rescue rate arrived at 94.3% (33/35) on the 17th day post burn. In this period, no such nursing adverse event and complication occurred as bed-dropping, unplanned extubation, coagulation in veins of lower limb, catheter-related infection, or cross infection.

Effects of forkhead Box protein A1 on cell proliferation regulating and EMT of cervical carcinoma.

OBJECTIVE: Cervical cancer is a common tumor in gynecological malignancies. However, the patients are often in an advanced stage when diagnosed. It was found that forkhead box protein A1 (FOXA1) is abnormally expressed in various tumors, such as breast cancer, ovarian cancer, and is closely related to tumorigenesis. This study aimed to investigate the expression and the related roles of FOXA1 in cervical cancer. PATIENTS AND METHODS: Real Time-PCR (RT-PCR) and Western blot were used to analyze expression of FOXA1 in cervical cancer and adjacent tissue. The small-interfere RNA (siRNA) was adopted to down-regulate FOXA1 expression in HeLa cells. The effect of FOXA1 on apoptosis of HeLa cells was detected by using thiazolyl blue tetrazolium bromide (MTT) method. The apoptosis rate of HeLa cells was detected by using flow cytometry. The Western blot was selected to evaluate the epithelial mesenchymal transition (EMT) related protein, vimentin, E-cadherin, and vascular endothelial growth factor (VEGF) changes. RESULTS: Compared with adjacent tissues, FOXA1 mRNA and protein expressions significantly increased in cervical cancer (p<0.05). SiRNA significantly reduced FOXA1 expression in Hela cells compared with the control group and siRNA-NC group, thus inhibiting tumor cell proliferation and enhancing cell apoptosis rate (p<0.05). E-cadherin elevated, Vimentin decreased, and VEGF reduced after FOXA1 siRNA treatment. CONCLUSIONS: FOXA1 expression increased in cervical cancer. Inhibition of FOXA1 expression blocked the proliferation of cervical cancer, promoted tumor cell apoptosis, suppressed the occurrence of EMT and VEGF production, and can regulate cervical cancer metastasis. FOXA1 can be used as a new molecular biological target for cervical cancer diagnosis and treatment.

Down-regulation of survivin enhances paclitaxel-induced Hela cell apoptosis.

OBJECTIVE: Paclitaxel is one of the common anticancer drugs in the treatment of cervical cancer, while the mechanism of restraining and killing cancer cells is still unclear. This study aimed to investigate the molecular mechanism of paclitaxel in regulating proliferation and apoptosis of cervical cancer Hela cells. MATERIALS AND METHODS: Paclitaxel at 2 µmol/L was used to treat Hela cells for 48 h. MTT assay and flow cytometry were applied to test Hela cells proliferation and apoptosis respectively. Western blot was adopted to determine the expression of survivin. SiRNA was performed to suppress survivin protein expression in Hela cells. RESULTS: Paclitaxel restrained Hela cells growth and induced apoptosis. Also, paclitaxel treatment significantly reduced survivin protein expression in Hela cells. Moreover, survivin siRNA transfection further promoted Hela cells apoptosis after intervention by 2 µmol/L paclitaxel. CONCLUSIONS: Down-regulation of survivin promoted paclitaxel-induced apoptosis of cervical cancer Hela cells.