Objective To measure the lethal dosage values ( LD50 ) of i.v.asarone injection for mice and to establish a standard for abnormal toxicity test of asarone injection to potentially reduce the occurrence of adverse drug reaction.Methods To obtain the LD50 value, a weighted linear probit regression method ( Bliss method) is employed. The limit of abnormal toxicity test is determined according to Appendix XI C in its 2010 edition of the Chinese pharmacopoeia.Results It is found that the LD50 of intravenously asarone injection in mice ranges from 51.9 to 153.1 mg/kg.The abnormal toxicity test should be added as an additional item in the standard.Conclusions Based on analyses in this study, an appropriate limit of abnormal toxicity test is 15 mg/kg, which is also in line with current medical standard in China.

Objective To learn whether plasmodium genetic attenuated sporozoites (GAS) can induce immunity against lung cancer ,in order to provide new ideas for the study of lung cancer vaccine .Methods Ther study was divided into two groups respec‐tively ,experimental group received intravenous injection of genetically attenuated sporozoites to immunize C57BL/6J mice and con‐trol group injection of phosphate buffer solution (PBS);after 14 days ,we subcutaneously inoculated lewis lung cancer (LLC) cells , calipers was used to measure tumor size .Immunohistochemical staining was detected tumor proliferation ,apoptosis ,and angiogene‐sis .Results There was statistically significant in tumor size .Immunohistochemical staining revealed that attenuated sporozoites in‐fection inhibited LLC eslls proliferation ,angiogenesis ,apoptosis .Conclusion The malaria attenuated sporozoites may provide a no‐vel strategy or therapeutic vaccine vector for anti‐lung cancer immune‐based therapy .

Objective:To study the effects of different fluid balance strategies on severe pneumonia patients and explore the possible influence path in order to optimize fluid treatment for severe pneumonia patients.Methods:A total of 89 adult patients with severe pneumonia admitted to EICU and RICU of Jiangsu Provincial Hospital from January 2017 to August 2019 were retrospectively analyzed . The differences of clinical data between the death group ( n=35) and the survival group ( n=54) were analyzed. Multivariate logistic regression analysis was used to identify predictors of 30-day mortality after entering ICU of severe pneumonia patients. Patients were divided into a positive fluid balance (PFB) group ( n=48) and a negative fluid balance (NFB) group ( n=41). Kaplan-Meier survival curve was used to analyze the difference of 30-day survival rate between the PFB and NFB groups. Results:Age ( OR=1.060, 95% CI: 1.018-1.104, P=0.005), ventilator dependency ( OR=6.679, 95% CI: 1.218-36.620, P=0.029), vasoactive agents ( OR=21.068, 95% CI: 4.654-95.376, P<0.001), and new hyperchloremia occurred within 24 h after admission to the ICU ( OR=21.714, 95% CI: 1.059-445.008, P=0.046) were the risk factors for severe pneumonia patients' 30-day mortality after entering ICU. The concentrations of creatinine, urea nitrogen, sodium and chlorine of the NFB patients were lower than those of the PFB patients within 5 days after admission to ICU (day 1-day 5) ( P<0.05). The serum calcium concentrations of the NFB patients were higher than those of the PFB patients on day 3-5 ( P<0.05). The 30-day survival rate was significantly higher in the NFB patients than in the PFB patients ( P<0.001). Conclusions:The strategy of negative fluid balance can reduce serum chlorine concentration, improve renal function and reduce mortality in patients with severe pneumonia.

Objective:To explore the effect of pediatric critical illness score (PCIS), pediatric risk of mortality Ⅲ score (PRISM Ⅲ), pediatric logistic organ dysfunction 2 (PELOD-2), pediatric sequential organ failure assessment (p-SOFA) score and Glasglow coma scale (GCS) in the prognosis evaluation of septic-associated encephalopathy (SAE).Methods:The data of children with SAE admitted to the Pediatric Intensive Care Unit (PICU), Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences from January 2010 to December 2020 were retrospectively analyzed. They were divided into the survival and death groups according to the clinical outcome on the 28th day after admission. The efficiency of PCIS, PRISM Ⅲ, PELOD-2, p-SOFA and GCS scores for predicting death were evaluated by the area under the ROC curve (AUC). The Hosmer-Lemeshow goodness-of-fit test assessed the calibration of each scoring system.Results:Up to 28 d after admission, 72 of 82 children with SAE survived and 10 died, with a mortality rate of 12.20%. Compared with the survival group, the death group had significantly lower GCS [7 (3, 12) vs. 12 (8, 14)] and PCIS scores [76 (64, 82) vs. 82 (78, 88)], and significantly higher PRISM Ⅲ [14 (12, 17) vs. 7 (3, 12)], PELOD-2 [8 (5, 13) vs. 4 (2, 7)] and p-SOFA scores [11 (5, 12) vs. 6 (3, 9)] ( P<0.05). The AUCs of PCIS, PRISM Ⅲ, PELOD-2, p-SOFA and GCS scores for predicting SAE prognosis were 0.773 ( P=0.012, AUC>0.7), 0.832 ( P=0.02, AUC>0.7), 0.767 ( P=0.014, AUC>0.7), 0.688 ( P=0.084, AUC<0.7), and 0.692 ( P=0.077,AUC<0.7), respectively. Hosmer-Lemeshow goodness-of-fit test showed that PCIS ( χ2=5.329, P=0.722) predicted the mortality and the actual mortality in the best fitting effect, while PRISM Ⅲ ( χ2=12.877, P=0.177), PELOD-2 ( χ2=8.487, P=0.205), p-SOFA ( χ2=9.048, P=0.338) and GCS ( χ2=3.780, P=0.848) had poor fitting effect. Conclusions:The PCIS, PRISM Ⅲ and PELOD-2 scores have good predictive ability assessing the prognosis of children with SAE, while the PCIS score can more accurately evaluate the fitting effect of SAE prognosis prediction.

Objective:To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients.Methods:Based on the patients’ admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model.Results:In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as: blood oxygen saturation <94 %, peripheral white blood cells count >8.0×10 9, change in systolic blood pressure <-2.5 mmHg, heart rate >90 beats/min, multiple small patchy shadows, age >30 years, and change in heart rate <12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7 %, and the missed diagnosis rate was 38.3 %. The prediction sensitivity of the model based on the test set was 75.0 %, and the missed diagnosis rate was 25.0 %. Conclusions:Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model’s prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.

Objective:To investigate the clinical characteristics of pediatric methicillin-resistant Staphylococcus aureus (MRSA) infection and the antibiotic sensitivity of the isolates. Methods:The clinical data of children with MRSA infection and antibiotic sensitivity of the isolates from 11 children′s hospitals in Infectious Diseases Surveillance of Paediatrics (ISPED) group of China between January 1, 2018 and December 31, 2018 were collected retrospectively. The children′s general condition, high-risk factors, antimicrobial therapy and prognosis, differences in clinical disease and laboratory test results between different age groups, and differences of antibiotic sensitivity between community-acquired (CA)-MRSA and hospital-acquired (HA)-MRSA were analyzed. The t test and Wilcoxon rank sum test were used for statistical analysis of the quantitative data and Chi-square test were used for comparison of rates. Results:Among the 452 patients, 264 were males and 188 were females, aged from 2 days to 17 years. There were 233 cases (51.5%) in the ≤1 year old group, 79 cases (17.5%) in the>1-3 years old group, 29 cases (6.4%) in the >3-5 years old group, 65 cases (14.4%) in the >5-10 years old group, and 46 cases (10.2%) in the>10 years old group. The main distributions of onset seasons were 55 cases (12.2%) in December, 47 cases (10.4%) in February, 46 cases (10.2%) in November, 45 cases (10.0%) in January, 40 cases (8.8%) in March. There were 335 cases (74.1%) CA-MRSA and 117 (25.9%) cases HA-MRSA. Among all cases, 174 cases (38.5%) had basic diseases or long-term use of hormone and immunosuppressive drugs. During the period of hospitalization, 209 cases (46.2%) received medical interventions. There were 182 patients (40.3%) had used antibiotics (β-lactams, glycopeptides, macrolides, carbapenems, oxazolones, sulfonamides etc) 3 months before admission. The most common clinical disease was pneumonia (203 cases), followed by skin soft-tissue infection (133 cases), sepsis (92 cases), deep tissue abscess (42 cases), osteomyelitis (40 cases), and septic arthritis (26 cases), suppurative meningitis (10 cases). The proportion of pneumonia in the ≤1 year old group was higher than the >1-3 years old group,>3-5 years old group,>5-10 years old group,>10 years old group (57.5% (134/233) vs. 30.4% (24/79), 31.0% (9/29), 38.5% (25/65), 23.9% (11/46), χ 2=17.374, 7.293, 7.410, 17.373, all P<0.01) The proportion of skin and soft tissue infections caused by CA-MRSA infection was higher than HA-MRSA (33.4% (112/335) vs. 17.9% (21/117), χ 2=10.010, P=0.002), and the proportion of pneumonia caused by HA-MRSA infection was higher than CA-MRSA (53.0% (62/117) vs. 42.1% (141/335), χ 2=4.166, P=0.041). The first white blood cell count of the ≤1 year old group was higher than that children > 1 year old ((15±8)×10 9/L vs. (13±7)×10 9/L, t=2.697, P=0.007), while the C-reactive protein of the ≤1 year old group was lower than the 1-3 years old group,>5-10 years old group,>10 years old group (8.00 (0.04-194.00) vs.17.00 (0.50-316.00), 15.20 (0.23-312.00), 21.79(0.13-219.00) mg/L, Z=3.207, 2.044, 2.513, all P<0.05), there were no significant differences in procalcitonin (PCT) between different age groups (all P>0.05). After the treatment, 131 cases were cured, 278 cases were improved, 21 cases were not cured, 12 cases died, and 10 cases were abandoned. The 452 MRSA isolates were all sensitive to vancomycin (100.0%), linezolid (100.0%), 100.0% resistant to penicillin, highly resistant to erythromycin (85.0%, 375/441), clindamycin (67.7%, 294/434), less resistant to sulfonamides (5.9%, 23/391), levofloxacin (4.5%, 19/423), gentamicin (3.2%, 14/438), rifampicin (1.8%, 8/440), minocycline (1.1%, 1/91). The antimicrobial resistance rates were not significantly different between the CA-MRSA and HA-MRSA groups (all P>0.05). Conclusions:The infection of MRSA is mainly found in infants under 3 years old. The prevalent seasons are winter and spring, and MRSA is mainly acquired in the community. The main clinical diseases are pneumonia, skin soft-tissue infection and sepsis. No MRSA isolate is resistant to vancomycin, linezolid. MRSA isolates are generally sensitive to sulfonamides, levofloxacin, gentamicin, rifampicin, minocycline, and were highly resistant to erythromycin and clindamycin. To achieve better prognosis. clinicians should initiate anti-infective treatment for children with MRSA infection according to the clinical characteristics of patients and drug sensitivity of the isolates timely and effectively.