Purpose:To investigate the expression of tumor suppressor genes P16 and P15 in human primary gastric carcinoma(PGC) and metastatic lymph node(MLN) in order to explore their roles in carcinoma metastasis and the prognosis of PGC.Methods:The expresion of P16 and P15 was detected by SP immunohistochemical method in 92 cases of PGC and 138 MLN. All samples were obtained fresh, fixed with 10% buffered formalin immediately, embedded with paraffin and then sectioned serially. Results:The positive expression rates of P16 and P15 were 17.45% and 28.3% in PGC, and 15.95% and 28.3% in MLN respectively. The positive expression rates of P16 and P15 in PGC with lymph node metastasis was lower than that without lymph node metastasis ( P

OBJECTIVE: To evaluate the role of the combination of ultrasound and enhanced CT in analyzing lymph node metastasis in thyroid papillary carcinoma (PTC) patients by compartment. METHOD: Clinical data of 115 cases (141 sides) with PTC were collected. All had undergone ultrasound in neck and enhanced CT both in neck and in mediastinum before surgery. They were divided into ultrasound group. CT group, and the combination of ultrasound and enhanced CT group to evaluate lymph node metastasis. RESULT: For the central compartment, the accuracy of ultrasound was 61.0%. CT was 48.9%, and the combination of ultrasound and CT was 62.4%. For the lateral compartment, ultrasound was 87.9%, CT was 78.7%, the combination of ultrasound and CT was 85.8%. Ultrasound had higher accuracy than CT in the central (P < 0.05) and lateral (P < 0.05) compartment. The combination of ultrasound and CT had higher accuracy than CT in the central compartment (P < 0.05), but there was no significant difference in the lateral compartment (P > 0.05). There was no significant difference in accuracy between ultrasound and the combination of ultrasound and CT neither in central (P > 0.05) nor in lateral (P > 0.05) compartment. Six cases of lymph node metastasis in mediastinum and 1 case in parapharyngeal space detected by CT were pathologically proven. CT found that five patients with pulmonary metastasis. CONCLUSION The combination of ultrasound and CT or single ultrasound has higher accuracy in preoperative evaluation than single CT for lymph node metastasis in PTC. CT can assess some compartments such as mediastinum which can't be detected by ultrasound, and at the same time to evaluate lung metastasis. To evaluate lymph node metastasis in PTC, the combination of ultrasound and CT is more accurate and considerate than single method.
Adolescent ; Adult ; Aged ; Carcinoma ; diagnostic imaging ; pathology ; Carcinoma, Papillary ; Child ; Female ; Humans ; Lymphatic Metastasis ; diagnostic imaging ; Male ; Middle Aged ; Thyroid Cancer, Papillary ; Thyroid Neoplasms ; diagnostic imaging ; pathology ; Tomography, X-Ray Computed ; Ultrasonography, Doppler, Color ; Young Adult

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

Background: Millions of patients undergo cardiac surgery each year. The red blood cell distribution width (RDW) could help predict the prognosis of patients who undergo percutaneous coronary intervention or coronary artery bypass surgery. We investigated whether the RDW has robust predictive value for the 30-day mortality among patients in an intensive care unit (ICU) after undergoing cardiac surgery. Methods: Using the Medical Information Mart for Intensive Care-IV Database, we retrieved data for 11,634 patients who underwent cardiac surgery in an ICU. We performed multivariate Cox regression analysis to model the association between the RDW and 30-day mortality and plotted Kaplan–Meier curves. Subgroup analyses were stratified using relevant covariates. Receiver operating characteristic (ROC) curves were used to determine the predictive value of the RDWs. Results: The total 30-day mortality rate was 4.2% (485/11,502). The elevated-RDW group had a higher 30-day mortality rate than the normal-RDW group (P < 0.001). The robustness of our data analysis was confirmed by performing subgroup analyses. Each unit increase in the RDW was associated with a 17% increase in 30-day mortality when the RDW was used as a continuous variable (adjusted hazard ratio = 1.17, 95% confidence interval, 1.10–1.25). Our ROC results showed the predictive value of the RDW. Conclusions An elevated RDW was associated with a higher 30-day mortality in patients after undergoing cardiac surgery in an ICU setting. The RDW can serve as an efficient and accessible method for predicting the mortality of patients in ICUs following cardiac surgery.

With the development of information technology, the massive growth of pharmaceutical electronic data and the significant increase in the reports of drug adverse event reports have brought great challenges to pharmacovigilance research. Data mining techniques can automatically extract the risk signals of adverse drug reaction from real-world data. Therefore, efficient data mining of massive adverse event reporting is a necessary measure to realize the automatic detection of adverse drug reactions. By introducing the current major large-scale adverse drug event reporting databases and related data mining methods, this study reviews the application and limitations of adverse drug reaction data mining technology in pharmacovigilance, which provides reference for pharmacovigilance-related institutions and researchers.