BACKGROUND: The contact lenses were easily contaminated by adsorbing components from the tear film, particularly protein after wearing for a period of time. Lysozyme adsorption dynamics of fluorosilicone acrylate contact lenses has been studied in order to further improve data of protein adsorption, reduce adsorbing amount of surface protein, and prevent surface contamination of contact lenses.OBJECTIVE: To investigate the adsorption dynamics of fluorosilicone acrylate contact lenses to lysozyme in vitro. METHODS: A stock solution of lysozyme was prepared in Hanks balanced salt solution (2.0 g/L, solution Ⅰ) and different trifluoroacetic acid (TFA) concentrations were prepared. Recovery experiment, the contact lenses were placed in shaking incubator at 37 ℃ for varying time intervals. After incubation there was a single rinsing in Hanks balanced salt solution. Contact lenses in control group were placed in diluted water, and contact lenses in the other group were placed in different concentrations of TFA. For deposition, FSA contact lenses in experimental group were placed in shaking incubator at 37 ℃ for varying time intervals. After incubation there was a single rinsing in Hanks balanced salt solution. Then FSA contact lenses were immersed in 0.2% TFA solution. The amount of lysozyme was assayed with BCA method.RESULTS AND CONCLUSION: Lysozyme which attached to fluorosilicone acrylate contact lenses could be resolved by TFA, and the recovery was influenced by the immersed time and the concentration of TFA. The optimal time was 1 hour, and the optimum concentration was 0.2%. The adsorption dynamics of lysozyme on FSA contact lenses was a second-phased process, i.e., lysozyme adsorption increased rapidly during 10 minutes-1 hour, reached a plateau at 1 hour, stably adsorbed during 1-24 hours, and reached a saturation of 0.349 mg/cm~2. The recovery of lysozyme was lower at 10 and 30 minutes, but reached 90%-100% while the time of incubation was between 40 minutes and 24 hours.

Objective:To investigate the role of a simple Nomogram model in evaluating the severity of mycoplasma pneumoniae pneumonia (MPP) in adults.Methods:The clinical data of 162 patients with MPP who received treatment in Wenzhou Central Hospital from March 2015 to October 2022 were retrospectively analyzed. These patients were divided into a severe group ( n = 67) and a common group ( n = 95) according to whether they were diagnosed with severe MPP. The clinical data of patients were recorded. Fourteen clinical variables were screened, including age, sex, onset season, fever, heat peak, fever duration, cough duration, white blood cell count, percentage of neutrophils, percentage of lymphocytes, hemoglobin, platelet count, C-reactive protein, and procalcitonin. Multivariate logistic regression analysis of statistically significant variables in univariate analysis was performed. The Nomogram model was constructed with the R language software package (version 3.6.2). The model was verified with a calibration curve and receiver operating characteristic curve. Results:Univariate analysis results showed that in the severe group, the fever peak ( Z = 5.03, P < 0.001) was higher, fever duration ( χ2 = 27.55, P < 0.001), and cough duration ( χ2 = 28.72, P < 0.001) were longer, white cell count ( t = 2.93, P = 0.004), percentage of neutrophils ( t = 9.08, P < 0.001), C-reactive protein ( t = 35.05, P < 0.001), and procalcitonin level ( t = 15.09, P < 0.001) were greater compared with the common group. The percentage of lymphocytes ( t = 1.16, P < 0.001), hemoglobin level ( t = 1.22, P < 0.001), and platelet count ( t = 2.82, P < 0.001) in the severe group were significantly lower than those in the common group. Multivariate logistic regression analysis results showed that heat peak, cough duration, and C-reactive protein were positively correlated with the severity of MPP (all P < 0.05). The percentage of lymphocytes, hemoglobin concentration, and platelet count were negatively correlated with the severity of MPP (all P < 0.05). The establishment and validation results of the Nomogram model showed that the accuracy of the model was good, with a sensitivity of 88.73%, a specificity of 77.61%, and a C-index of 0.904. Conclusion:Heat peak, cough duration, percentage of lymphocytes, platelet count, and C-reactive protein are closely related to the severity of early MPP. A simple Nomogram model can be one of the tools for early assessment of the severity of MPP.