Objective:To analyze the factors influencing the prognoses of stroke survivors with pseudobulbar palsy (PBP) dysphagia and construct a prediction model.Methods:Data on two hundred and fifty-one stroke survivors with PBP dysphagia were collected and analyzed retrospectively. The subjects were divided into a good prognosis group ( n=164) and a poor prognosis group ( n=87) according to the results of Kubota water swallowing tests administered at discharge. Their clinical data were analyzed using univariate correlation analysis, and the statistically significant independent variables found were further analyzed using multivariate logistic regression to obtain the important predictors of prognosis. R software was then used to assemble the useful factors into a nomogram prediction model. The area under the receiver operating characteristics (ROC) curve was employed to verify the model′s predictive power. Results:According to the univariate correlation analysis, significant differences were found between the two groups′ average National Institutes of Health Stroke Scale (NIHSS) scores, mouth opening grades and ages. The multivariate logistic regression analysis showed that NIHSS score, mouth opening grade and age could be useful and independent predictors of poor prognosis. The ROC curve analysis showed that the area under the curve for the nomogram model was 0.727, with a sensitivity of 59.8% and a specificity of 81.6%, suggesting that the model had good predictive power and was properly calibrated.Conclusions:NIHSS score, mouth opening grade and age are independent predictors of prognosis for stroke patients with PBP dysphagia. The nomogram model constructed in this study is of great value in developing a prognosis for such patients, which is helpful in the prevention and treatment of post-stroke dysphagia.

Objective:To analyze the factors influencing the prognoses of stroke survivors with pseudobulbar palsy (PBP) dysphagia and construct a prediction model.Methods:Data on two hundred and fifty-one stroke survivors with PBP dysphagia were collected and analyzed retrospectively. The subjects were divided into a good prognosis group ( n=164) and a poor prognosis group ( n=87) according to the results of Kubota water swallowing tests administered at discharge. Their clinical data were analyzed using univariate correlation analysis, and the statistically significant independent variables found were further analyzed using multivariate logistic regression to obtain the important predictors of prognosis. R software was then used to assemble the useful factors into a nomogram prediction model. The area under the receiver operating characteristics (ROC) curve was employed to verify the model′s predictive power. Results:According to the univariate correlation analysis, significant differences were found between the two groups′ average National Institutes of Health Stroke Scale (NIHSS) scores, mouth opening grades and ages. The multivariate logistic regression analysis showed that NIHSS score, mouth opening grade and age could be useful and independent predictors of poor prognosis. The ROC curve analysis showed that the area under the curve for the nomogram model was 0.727, with a sensitivity of 59.8% and a specificity of 81.6%, suggesting that the model had good predictive power and was properly calibrated.Conclusions:NIHSS score, mouth opening grade and age are independent predictors of prognosis for stroke patients with PBP dysphagia. The nomogram model constructed in this study is of great value in developing a prognosis for such patients, which is helpful in the prevention and treatment of post-stroke dysphagia.

Objective: To explore the effectiveness and cost of breast cancer screening strategy that is suitable for the current econom-ic conditions in China. Methods: We collected clinical and cost information of breast cancer screening for Chinese women based on previous screening programs conducted from February 2008 to December 2011 and collected the same information about breast can-cer cases diagnosed in hospitals at the same time. Markov models were developed to analyze the incremental cost-effectiveness ratios (ICER) for 132 breast cancer screening strategies compared to no screening for Chinese women. Results: In 2010, as compared to no screening, the most cost-effective breast cancer screening strategy was biennial screening with clinical breast examination (CBE) and breast ultrasound, in parallel, for women aged between 40 to 64. This screening strategy could save 1,394 quality-adjusted life years (QALY) per 100,000 women, and the cost of saving breast-cancer related QALY would be 91,944 RMB. Sensitivity analysis indicated that in 2016, the most cost-effective breast cancer screening strategy was biennial screening with CBE and mammography (MAM), in parallel, for women aged 40 to 64, with ICER of 159,637 RMB per QALY. Conclusions: Population-based breast cancer screening would be acceptable in the current conditions in China. As the Chinese economy and level of medical care improve, breast cancer screening would be more cost-effective.

Objective:To detect genomic aberrations and investigate the expression and clinical significance of TBX2,CHK2, and p53 in malignant peripheral nerve sheath tumor (MPNST) tissues. Methods:We collected 63 cases of MPNST tissue samples, which were re-moved by resection and were confirmed by pathology, from January 1991 to December 2011 in Department of Bone and Sofer Tissue Tumor, Tianjin Medical University Cancer Institute and Hospital. Twelve fresh tumor samples with qualified DNA quality were selected from the above 63 cases of tissue samples. Genome abnormalities of 12 MPNST tissues were detected by next-generation sequencing. The protein expression levels of TBX2, CHK2, and p53 in 63 MPNST tissue samples were assessed by immunohistochemistry staining. Results:One case of TBX2 gene mutation was observed out of the 12 MPNST tissue samples. In 63 MPNST tissue samples, the protein expression rates of TBX2, CHK2, and p53 were 60.3%(38/63), 47.6%(30/63), and 30.2%(19/63), respectively. TBX2 expression was sig-nificantly correlated with AJCC (American Joint Committee on Cancer, AJCC) stage, recurrence, and metastasis (P<0.05). TBX2 expres-sion was directly correlated with that of CHK2 (r=0.254, P=0.045), and CHK2 expression was directly correlated with that of p53 (r=0.343, P=0.006). In terms of the disease-free survival and overall survival time, patients with high expression levels of TBX2, CHK2, and p53 had significantly worse prognosis than patients with low expression levels of TBX2, CHK2, and p53(all P<0.05). TBX2, CHK2, and p53 were independent prognostic factors of MPNST. Conclusion:TBX2 and its associated proteins may play important roles in MPNST development and progression. Detecting TBX2 expression may provide the theoretical basis for estimating the prognosis of patients with MPNST.