Objective The aim of the study is to evaluate clinical efficacy and safety of azatreonam or ceftazidime on treatment of lower respiratory tract infection .Methods Four English databases (MEDLINE、EMBASE、Pubmed、Cochrane li‐brary) and three Chinese databases (CNKI、VIP、WANFANG) were searched .Meta‐analysis was performed using Review Manager 5 .2 .Results The Meta‐analysis revealed azatreonam was superior to ceftazidime in total efficiency (RR=1 .15 ,95%CI is 1 .09‐1 .21) .No significant differences are seen between azatreonam and ceftazidime (RR=1 .03 ,95% CI is 0 .98‐1 .09) on the bacterial eradication rates or the incidence of adverse reactions (RR=0 .66 ,95% CI is 0 .39‐1 .12) .Conclusion Azatreonam is more effective than ceftazidime on the treatment of lower respiratory tract infection in the clinical practice .

Objective:To compare the detection performance of serum free light chain (sFLC) in two platforms and evaluate the comparability of serum free light chain results in patients with multiple myeloma (MM).Methods:To evaluate the detection performance (repeatability, accuracy, linear range, reference range, interfering substances, etc.) of sFLC kit based on polyclonal antibodies. Spearman correlation analysis and Bland-Altman were used to analyze 214 sFLC results obtained on two detection platforms at the same time to evaluate the correlation between the results of the two methods and analyze the causes of methodological bias. 119 cases with aMM and 23 cases of disease control group (AL, WM, POEMS syndrome, MGUS, diffuse large B-cell lymphoma) initially diagnosed in the hematology department of Zhongshan Hospital of Fudan University from March 2020 to March 2021 were all included. A retrospective analysis was conducted to calculate the area under the curve of receiver operating characteristic (AUC-ROC) and obtain the optimal sensitivity and specificity cut-off points for the diagnosis of MM patients on monoclonal antibody platform.Results:Repeatability, accuracy, linear range, reference interval and anti-interfering capacity of the detection platform based on polyclonal antibodies were verified to meet clinical needs. The overall consistency of FLC/κ, FLC/λ and κ/λ ratios in two methods was 89.3%, 84.1% and 77.1% respectively; but the correlation results were highly heterogeneous. The correlation coefficient of FLC/κ R 2 was 0.922( P<0.001), while the correlation coefficients R 2of the FLC/λ and κ/λ ratios were only 0.349 and 0.441( P<0.001). After segment analysis, it was found that the correlation of FLC/λ was improved within the linear range and R 2 could rise to 0.78( P<0.001). Compared with monoclonal antibody platform, the vast majority points of FLC/κ fell within the 95% limit by Bland Altman analysis. While the results of FLC/λ on polyclonal antibody platform showed significant positive bias. The AUC of MM diagnosis on monoclonal antibody platform was 0.751 ( P=0.001), and the optimal cutoff value was 24.67. Conclusion:The overall consistency between the two platforms was good, but there were significant differences between the results, so they were not comparable and could not be interchanged. For monitoring the prognosis of patients with multiple myeloma, the same platform should be selected for testing.

Objective To compare the value of Child-Pugh score, Model for End-Stage Liver Disease (MELD) score, MELD combined with serum sodium concentration (MELD-Na) score, CLIF Consortium Acute Decompensation (CLIF-C AD) score, and Freiburg index of post-transjugular intrahepatic portosystemic shunt (TIPS) survival (FIPS) score in predicting the survival of patients undergoing TIPS. Methods A retrospective analysis was performed for the clinical data of 447 patients with liver cirrhosis who underwent TIPS in several hospitals in southwest China, among whom there were 306 patients in the survival group and 62 in the death group. The scores of the above five models were calculated, and a survival analysis was performed based on these models. The independent samples t -test was used for comparison of normally distributed continuous data between groups, and the non-parametric Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups; the Pearson chi-square test was used for comparison of categorical data between groups; a multivariate Cox regression analysis was used for correction analysis of known influencing factors with statistical significance which were not included in the scoring models; the Kaplan-Meier method was used to evaluate the discriminatory ability of each model in identifying risks in the surgical population, and the log-rank test was used for analysis. The area under the receiver operating characteristic curve (AUC), C-index at different time points, and calibration curve were used to evaluate the predictive ability of each scoring model. Results Compared with the death group, the survival group had significantly lower age ( Z =2.884, P < 0.05), higher albumin ( t =3.577, P < 0.05), and Na + ( Z =-3.756, P < 0.05) and significantly lower proportion of patients with alcoholic cirrhosis ( χ 2 =22.674, P < 0.05), aspartate aminotransferase ( Z =2.141, P < 0.05), prothrombin time ( Z =2.486, P < 0.05), international normalized ratio ( Z =2.429, P < 0.05), total bilirubin ( Z =3.754, P < 0.05), severity of ascites ( χ 2 =14.186, P < 0.05), and scores of the five models (all P < 0.05). Survival analysis showed that all scoring models effectively stratified the prognostic risk of the patients undergoing TIPS. Comparison of the C-index of each scoring model at different time points showed that Child-Pugh score had the strongest ability in predicting postoperative survival, followed by MELD-Na score, MELD score, and CLIF-C AD score, and FIPS score had a relatively poor predictive ability; in addition, the prediction efficiency of each score gradually decreased over time. Child-Pugh score had the largest AUC of 0.832 in predicting 1-year survival rate after surgery, and MELD-Na score had the largest AUC of 0.726 in predicting 3-year survival rate after surgery, but FIPS score had a poor ability in predicting 1- and 3-year survival rates. Conclusion All five scoring models can predict the survival of patients with liver cirrhosis after TIPS and can provide effective stratification of prognostic risk for such patients. Child-Pugh score has a better ability in predicting short-term survival, while MELD-Na score has a better ability in predicting long-term survival, but FIPS score has a relatively poor predictive ability in predicting both short-term and long-term survival.

Objective To analyze the clinical features of patients with coronavirus disease 2019 (COVID-19) in Shanghai and to investigate the risk factors for disease progression to severe cases. Methods The clinical data of 292 adult patients with COVID-19 hospitalized in Shanghai Public Health Clinical Center from January 20, 2020 to February 10, 2020 were retrospectively analyzed, including 21 severe patients and 271 mild patients. The demographic characteristics, epidemiological history, history of underlying diseases and laboratory examinations were compared between the two groups. Measurement data were compared using t test or Mann-Whitney U test. The count data were compared using hi-square test. The binary logistic regression equation was used to analyze the risk factors for the progression of patients to severe cases. Results Among the 292 patients, 21 were severe cases with the rate of 7.2% (21/292). One patient died, and the mortality rate was 4.8% in severe patients. The severe patients aged (65.0±15.7) years old, 19 (90.5%) were male, 11 (52.4%) had underlying diseases, 7 (33.3%) had close relatives diagnosed with COVID-19. The mild patients aged (48.7±15.7) years old, 135 (49.8%) were male, 74 (27.3%) had underlying diseases, 36 (13.3%) had close relatives diagnosed with COVID-19. The differences between two groups were all significant statistically ( t =-4.730, χ 2 =12.930, 5.938 and 4.744, respectively, all P <0.05). Compared with the mild patients, the levels of absolute numbers of neutrophils, alanine aminotransferase, aspartate aminotransferase, lactate dehydrogenase, creatinine, serum cystatin C, C reactive protein (CRP), procalcitonin , D -dimer, pro-B-type natriuretic peptide (proBNP), serum myoglobin, creatine kinase (CK), creatine kinase isoenzyme (CK-MB), serum troponin I (cTnI) in severe patients were all significantly higher ( U =2 091.5, 1 928.0, 1 215.5, 729.0, 1 580.5, 1 375.5, 917.5, 789.5, 1 209.0, 1 434.0, 638.0, 964.5, 1 258.0 and 1 747.5, respectively, all P <0.05), while the levels of lymphocyte count, albumin, transferrin, CD3 + T lymphocyte count, CD8 + T lymphocyte count and CD4 + T lymphocyte count in severe patients were all significantly lower ( U =1 263.5, t =4.716, U =1 214.0, 962.0, 1 167.5 and 988.0, respectively, all P <0.05). Further logistic regression analysis showed that the albumin (odds ratio ( OR )=0.806, 95% CI 0.675-0.961), CRP ( OR =1.016, 95% CI 1.000-1.032), serum myoglobin ( OR =1.010, 95% CI 1.004-1.016), CD3 + T lymphocyte count ( OR =0.996, 95% CI 0.991-1.000) and CD8 + T lymphocyte count ( OR =1.006, 95% CI 1.001-1.010) at admission were independent risk factors for the progression of COVID-19 patients to severe illness (all P <0.05). Conclusions Severe cases of patients with COVID-19 in Shanghai are predominantly elderly men with underlying diseases. Albumin, CRP, serum myoglobin, CD3 + T lymphocyte count and CD8 + T lymphocyte count could be used as early warning indicators for severe cases, which deserve more clinical attention.