0.05).In comparison with pre-treatment,WOMAC scores,pain index,and physiological integral scores in treatment and control groups after the first and the last treatment decreased significantly(P

Objective To compare the sensitivity and specificity of dot immunogold method (DIM) and particle agglutination (PA) for the diagnosis of mycoplasma pneumoniae (MP) infection. Methods The 190 serum specimens of 113 children with mycoplasmal pneumonia (infection group) and 50 serum specimens of 50 health children (health group) were tested for MP by PA and DIM- A and B. Results In infection group, the positive rates of DIM- A and B were 82.63% (157/190) and 84.74%(161/190), and there was no statistical difference (χ2 = 0.31, P>0.05); the positive rate of PA (titer ≥1:160) was 70.00%(133/190), the positive rate of PA was significantly lower than that in DIM-A and B, and there were statistical differences (P<0.05). In infection group, with the increase of PA titer, the positive rate of DIM was gradually increased, and there was a correlation between 2 methods (rA=0.972, rB=0.830);the positive rates of DIM- A and B in serum specimens of PA negative were 40.62%(13/32) and 53.12%(17/32), and in the PA titer of 1:5120, there was still a negative result in DIM. In health group, the positive rates of DIM-A and B were 26.00% (13/50) and 28.00% (14/50), and there was no statistical difference (χ2 = 0.66, P>0.05); the positive of PA was 8.00% (4/50), the positive rate of PA was significantly lower than that in DIM- A and B, and there were statistical differences (P<0.05 or<0.01). Conclusions Compared with the PA, DIM has low sensitivity and poor specificity for clinical diagnosis. DIM is not suitable for clinical diagnosis of MP infection.

Objective:To analyze the distribution of clinically isolated fungal strains and their resistance to common antifungal drugs in Shandong province.Methods:Through the Shandong Children’s Bacterial & Fungal Drug Resistance Surveillance and Research Collaborative Network, a total of 1 030 fungi were collected in 46 hospitals of Shandong province from January 1 to December 31, 2018. The source and type of strains were analyzed, and antifungal drug sensitivity tests were performed by using the micro-dilution method. Whonet 5.6 and SPSS 22.0 were applied to analyze the data.Results:The overall main strains were Candida albicans (38.74%, 399/1 030), Candida tropicalis (16.99%, 175/1 030) and Candida parapsilosis (16.41%, 169/1 030); the main fungi strains in child patients were C. albicans (52.50%, 63/120), C. parapsilosis (12.50%, 15/120) and C. tropicalis (9.17%, 11/120); the main fungi strains in adult patients were C. albicans (36.37%, 331/910), C. tropicalis (17.03%, 155/910) and C. parapsilosis (15.27%, 139/910). The isolation rate of main Candida strains from January to March and August to December was much higher than that of other months. The drug resistance rates of C. albicans to fluconazole and voriconazole were 7.14% and 7.43%, respectively, and the drug resistance rates to itraconazole were 50.44%. The resistance rates of C. tropicalis to fluconazole, voriconazole and itraconazole were 29.05%, 23.29% and 48.65%, respectively. The sensitivity rates of C. parapsilosi to fluconazole, voriconazole and itraconazole were 93.06%, 93.75% and 94.44%, respectively. Candida glabrata showed a dose-dependent sensitivity rate of 2.33% to fluconazole. Analysis of 244 blood fungi strains showed that non-candida albicans bacteremia accounted for 70.08%. In the pathogen spectrum covering 92.22%, fluconazole was sensitive to 64.65% of the pathogens, voriconazole was 68.88%, and amphotericin B was 88.75%. After quantification, the effective rates of fluconazole, voriconazole and amphotericin B in the clinical treatment of fungal bacteremia were 70.10%, 74.69% and 96.23%, respectively. Among them, the sensitivity rate of voriconazole to C. tropicalis was lower than that of fluconazole. Conclusions:Candida is the main clinical fungus isolates in hospitals of Shandong province. The resistance rate of C. tropicalis to azole antifungal drugs is on the rise, and the sensitivity of other Candida species to clinically used antifungal drugs is basically stable.

【Objective】 To explore the feasibility of using autoregressive moving average model (ARIMA) to predict the dosage of suspended red blood cells in children, and to provide a basis for the development of clinical blood reserve plans in children's hospitals. 【Methods】 ARIMA model was constructed using the total blood consumption of clinical suspended red blood cells from March 2016 to May 2022 at the Children's Hospital of Chongqing Medical University as the data source by SPSS26.0 software. The optimal model was used to predict the clinical suspended red blood cell consumption from June to October 2022, and the predictive effect of the model was tested. 【Results】 ARIMA(0, 1, 1) (0, 1, 1)12 was the optimal model for predicting the consumption of suspended red blood cells in pediatrics. The autocorrelation function and partial autocorrelation function of the residual sequence basically fell within the 95% confidence interval. At the same time, Ljung-Box Q statistical results showed that there was no correlation between the residual (P>0.05), indicating that the residual was white noise, which met the randomicity hypothesis. The average relative error between the predicted values of the model and the actual clinical red blood cell usage from June to October 2022 was 5%, indicating high prediction accuracy. 【Conclusion】 The blood usage of children has obvious seasonal and periodic patterns, and the optimal model ARIMA (0, 1, 1) (0, 1, 1)12 can better fit the trend of changes in pediatric suspended red blood cell usage, thus providing a basis for the development of clinical blood reserve plans in children's hospitals.