Objective:To observe the sensitivity of transcription mediated amplification (TMA),and to compare its performance with real-time reverse transcription polymerase chain reaction (real-time RT-PCR) in detecting human immunodeficiency virus RNA (HIV RNA).Methods:TMA system was established with TaqMan probes,specific primers,moloney murine leukemia virus (MMLV) reverse transcriptase,T7 RNA polymerase,and reaction substrates.The sensitivity of TMA was evaluated by amplifying a group of 10-fold diluted HIV RNA standards which were transcribed in vitro.A total of 60 plasma of HIV infected patients were measured by TMA and Cobas Amplicor HIV-1 Monitor test to observe the positive rate.The correlation and concordance of the above two technologies were investigated by linear regression and BlandAltman analysis.Results:TMA system was established successfully and HIV RNA transcribed standards at concentration of equal or more than 10 copies/mL could be detected by TMA technology.Among 60 samples of plasma from HIV infected patients,46 were positively detected and 12 were negatively amplified by both TMA and Cobas reagents;2 samples were positively tested by Cobas reagent but negatively tested by TMA system.The concordance rate of the two methods was 97.1％ and the difference of positive detection rate between the two methods was not statistically significant (P＞0.05).Linear regression was used for 46 samples which were positively detected by both TMA and Cobas reagents and showed an excellent correlation between the two reagents (r=0.997,P＜0.001).Bland-Altma analysis revealed that the mean different value ofHIV RNA levels for denary logarithm was 0.02.Forty-four samples were included in 95％ of credibility interval of concordance.Conclusion:TMA system has the potential of high sensitivity.TMA and real-time RT-PCR keep an excellent correlation and consistency in detecting HIV RNA.

To explore the prognostic factors for patients with drug-induced liver failure (DILF) and construct a logistic regression model (LRM).
 Methods: A retrospective analysis of clinical data was performed in 183 hospitalized patients, who were diagnosed with DILF in Xiangya Hospital, the Second Xiangya Hospital and the Third Xiangya Hospital, Central South University from January 2009 to January 2018. The patients were divided into an improved group (n=67) and an ineffective group (n=116) according to their prognosis. Univariate analysis was performed to screen for possible prognostic factors such as age, Tbil, SCr, PT and complications. According to the results of univariate analysis, the multivariate analysis was performed to determine the independent prognostic factors and construct a LRM. The LRM was compared with the model for end-stage liver disease (MELD), the predictive value of LRM and MELD was evaluated by receiver operating characteristic curve (ROC), the parameters such as area under the ROC (AUC) and total accuracy were compared between the 2 models and verified by another independent sample.
 Results: According to univariate analysis, there was significant differences in age, clinical type, hepatic encephalopathy, hepatorenal syndrome, WBC count, the ratio of aspartic acid transaminase (AST) to glutamine transaminase (ALT) (AST/ALT), Tbil, SCr, PT and alpha-fetoprotein (AFP) between the 2 groups (all P<0.05). Multivariate analysis revealed that: AFP, PT, AST/ALT, hepatic encephalopathy and hepatorenal syndrome were independent prognostic factors for DILF, which could be applied to constructing a LRM. The AUC of LRM and MELD was 0.917 (95% CI 0.876 to 0.959) and 0.709 (95% CI 0.633 to 0.786) respectively, the total accuracy rate of prediction for the LRM and the MELD was 86.7% and 68.3% respectively, there was significant difference in AUC and total accuracy rate between the LRM and the MELD (P<0.05). LRM was superior to MELD.
 Conclusion: AFP, PT, AST/ALT, hepatic encephalopathy and hepatorenal syndrome were independent prognostic factors for DILF; the LRM can well predict the prognosis in the DILF patients, which is superior to the MELD.
China ; Humans ; Liver Failure ; chemically induced ; diagnosis ; Logistic Models ; Predictive Value of Tests ; Prognosis ; ROC Curve ; Retrospective Studies ; Severity of Illness Index

Humans ; Aged ; Acute Kidney Injury ; Risk Factors ; Creatinine