Objective To evaluate the curative effect of dental implant by crownless bridge works (CBW). Methods The index of gingival bleeding, the index of tooth loosing and successful rate of dental implant by CBW and common dental implant on 60 rabbit models was investigated on 1, 2, 3, 6, 9, 12 month. Results The survival rate of dental implant by CBW was higher than that of common dental implant. Conclusion The dental implant by crownless bridge works can reduce the pressure to the bone and improve the successful rate of implant.

Objective:To investigate the relationship between electrocardiographic (ECG) changes and prognosis of paraquat poisoning patients, so as to provide evidence for the condition assessment in paraquat poisoning patients.Methods:In January 2022, The clinical data of paraquat poisoning patients were retrospectively analyzed in the First Affiliated Hospital of Wenzhou Medical University from January 1, 2016 to December 31, 2021. The patients' basic information (age, sex, underlying disease, and occupation) and the ECG within 24 hours were collected, and the data were statistically analyzed by SPSS 22.0. One variable analysis and multivariable logistic regression analysis were used to analyze the risk factors related to prognosis determine in their ECG. The receiver operating characteristic (ROC) curve were used to evaluate the diagnostic value of ECG indexes in patients with paraquat poisoning.Results:A total of 145 patients with paraquat poisoning were finally enrolled in this study, there were 84 patients survived and 60 patients died. One variable analysis revealed that heart rate ( P=0.000) , QTc changes ( P=0.000) , and ST-T changes ( P=0.007) of ECG had statistically significant differences in the prognosis of paraquat poisoning patients between the survival group and the death group. Multifactorial logistic results showed that heart rate ( OR=1.059, 95% CI: 1.033~1.086) and QTc ( OR=1.015, 95% CI: 1.000~1.029) were independent risk factors for death diagnosis of patients with paraquat poisoning ( P<0.05) . ROC curve analysis revealed that the area under the cure (AUC) of the prediction model constructed based on heart rate and QTc was 0.832 (95% CI: 0.765~0.899) , with the best diagnostic efficacy. Conclusion:Heart rate, QTc and the prediction model constructed based on both can be used as prognostic indicators for the diagnosis of patients with paraquat poisoning, and which have reference value for clinical prognosis diagnosis.

Objective:To investigate the relationship between electrocardiographic (ECG) changes and prognosis of paraquat poisoning patients, so as to provide evidence for the condition assessment in paraquat poisoning patients.Methods:In January 2022, The clinical data of paraquat poisoning patients were retrospectively analyzed in the First Affiliated Hospital of Wenzhou Medical University from January 1, 2016 to December 31, 2021. The patients' basic information (age, sex, underlying disease, and occupation) and the ECG within 24 hours were collected, and the data were statistically analyzed by SPSS 22.0. One variable analysis and multivariable logistic regression analysis were used to analyze the risk factors related to prognosis determine in their ECG. The receiver operating characteristic (ROC) curve were used to evaluate the diagnostic value of ECG indexes in patients with paraquat poisoning.Results:A total of 145 patients with paraquat poisoning were finally enrolled in this study, there were 84 patients survived and 60 patients died. One variable analysis revealed that heart rate ( P=0.000) , QTc changes ( P=0.000) , and ST-T changes ( P=0.007) of ECG had statistically significant differences in the prognosis of paraquat poisoning patients between the survival group and the death group. Multifactorial logistic results showed that heart rate ( OR=1.059, 95% CI: 1.033~1.086) and QTc ( OR=1.015, 95% CI: 1.000~1.029) were independent risk factors for death diagnosis of patients with paraquat poisoning ( P<0.05) . ROC curve analysis revealed that the area under the cure (AUC) of the prediction model constructed based on heart rate and QTc was 0.832 (95% CI: 0.765~0.899) , with the best diagnostic efficacy. Conclusion:Heart rate, QTc and the prediction model constructed based on both can be used as prognostic indicators for the diagnosis of patients with paraquat poisoning, and which have reference value for clinical prognosis diagnosis.