Clinical diagnosis of 8274 samples with 2019-novel coronavirus in Wuhan

Background2019-Novel coronavirus (2019-nCoV) outbreaks create challenges for hospital laboratories because thousands of samples must be evaluated each day. Sample types, interpretation methods, and corresponding laboratory standards must be established. The possibility of other infections should be assessed to provide a basis for clinical classification, isolation, and treatment. Accordingly, in the present study, we evaluated the testing methods for 2019-nCoV and co-infections. MethodsWe used a fluorescence-based quantitative PCR kit urgently distributed by the Chinese CDC to detect 8274 close contacts in the Wuhan region against two loci on the 2019-nCoV genome. We also analyzed 613 patients with fever who underwent multiple tests for 13 respiratory pathogens; 316 subjects were also tested for 2019-nCoV. FindingsAmong the 8274 subjects, 2745 (33.2%) had 2019-nCoV infection; 5277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test (non-2019-nCoV); and 252 cases (3.0%) because only one target was positive, the diagnosis was not definitive. Eleven patients who originally had only one positive target were re-examined a few days later; 9 patients (81.8%) were finally defined as 2019-nCoV-positive, and 2 (18.2%) were finally defined as negative. The positive rates of nCoV-NP and nCovORF1ab were 34.7% and 34.7%, respectively. nCoV-NP-positive only and nCovORF1ab-positive cases accounted for 1.5% and 1.5%, respectively. In the 316 patients with multiple respiratory pathogens, 104 were positive for 2019-nCov and 6/104 had co-infection with coronavirus (3/104), influenza A virus (2/104), rhinovirus (2/104), and influenza A H3N2 (1/104); the remaining 212 patients had influenza A virus (11/202), influenza A H3N2 (11/202), rhinovirus (10/202), respiratory syncytial virus (7/202), influenza B virus (6/202), metapneumovirus (4/202), and coronavirus (2/202). InterpretationClinical testing methods for 2019-nCoV require improvement. Importantly, 5.8% of 2019-nCoV infected and 18.4% of non-2019-nCoV-infected patients had other pathogen infections. It is important to treat combined infections and perform rapid screening to avoid cross-contamination of patients. A test that quickly and simultaneously screens as many pathogens as possible is needed. FundingNo founding was received Research in contextO_ST_ABSEvidence before this studyC_ST_ABSWe searched PubMed for articles published up to January 31, 2020 using the keywords "2019 novel coronavirus" or "2019-nCoV". No published study on the characteristics of 2019-nCoV tests or 2019-nCoV co-infections was found. We only noted recent laboratory findings for other tests of patients infected with 2019-nCoV. Added value of this studyPositive detection of nCoV-NP or nCovORF1ab is presented, and individuals with/without 2019-nCoV infections or with inconclusive results were identified. Patients with inconclusive results may be diagnosed with 2019-nCoV infection or found to be negative for the infection after resampling and retesting in the next few days. Approximately 5.8% of the subjects diagnosed with 2019-nCoV had co-infection. Implications of all the available evidenceManagement of the population showing inconclusive results should be given attention; additionally, such results can be minimized by improving the sampling, sample pretreatment, and testing methodologies. When diagnosing 2019-nCoV subjects, the possibility of co-infection should be considered. Finally, better clinical detection methods are needed to simultaneously screen as many pathogens as possible.

Analysis of 8 274 cases of novel coronavirus nucleic acid detection and co-infection in Wuhan / 中华检验医学杂志

Objective:To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district.Methods:A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9 in 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR.Results:Among the 8 274 subjects, 2 745 (33.17%) were 2019-nCoV infected; 5 277 (63.77%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (56>40, t=27.569, P<0.001; 52>40, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ 2=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract sampleswere found to be positive for 2019-nCoV nucleic acid test. Conclusion:The 2019-nCoV nucleic acid positive rate inmale is higher than infemale. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.

Analysis of 8 274 cases of new coronavirus nucleic acid detection and co-infection in Wuhan / 中华检验医学杂志

Objective@#To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district.@*Methods@#A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9, 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR.@*Results@#Among the 8 274 subjects, 2 745 (33.2%) were 2019-nCoV infected; 5 277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (40 vs 56, t=27.569, P<0.001; 52 vs 56, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ2=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract samples were found to be positive for 2019-nCoV nucleic acid test.@*Conclusion@#The 2019-nCoV nucleic acid positive rate in male is higher than in female. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.

The study on the association between tissue plasminogen activator-plasminogen activator inhibitor-1 complex and risk of coronary disease / 中华检验医学杂志

Objective The aim of this study was to discuss the effect and clinical value of plasma Tissue Plasminogen Activator-Plasminogen Activator Inhibitor-1 Complex ( t-PAIC) in the coronary heart disease (CAD).Methods This is a retrospective study.From January 2017 to March 2018, 203 patients with CAD were recruited from Renmin Hospital of Wuhan University .130 cases were selected for control group at the same period.Plasma concentrations of t-PAIC, blood RBC, Hb, WBC and other routine biochemical markers were quantified .Results The plasma t-PAIC level in CAD group 12.75(9.0-17.93) ng/ml was significantly higher than that in healthy control group 7.70(6.10-9.41) ng/ml (Z＝9.208, P＜0.001).Logistic regression analysis showed that the TG ,LPa,t-PAIC were independent risk factors for CAD [OR(95%CI)],[1.762(1.076-2.884); 1.002(1.000-1.003); 1.338 (1.171-1.529)].The t-PAIC level was positively correlated with the severity of CAD .Compared with control group, the level of t-PAIC was higher in mild group (11.64 ±0.59) ng/ml and severe group (15.84 ±0.72) ng/ml, and the plasma t-PAIC level was positively correlated with Gensini score (r＝0.471, P＜0.001).Multiple linear regression analysis showed that there was a positive correlation among the plasma t-PAIC and LDL-C,Glu,WBC ( β coefficien t＝0.673,0.305,0.263, P＝0.037,0.002,0.006).In addition, there was abnormal increase of plasma t-PAIC in CAD patients with poor prognosis (H＝82.210, P＜0.001).Conclusion Plasma t-PAIC is an independent risk factor of CAD .The significantly increase of plasma t-PAIC might be an important predictor of incidence of CAD and unfavourable prognosis.

CD4+ T lymphocyte responses to anti-retroviral therapy, among HIV/AIDS patients aged 18 and over / 中华流行病学杂志

Objective To compare the differences of CD4 +T lymphocyte (CD4) counts between patients aged 18 and over,to explore the effect of age on treatment,36 months after having received the China National Free AIDS Antiretroviral Treatment on HIV/AIDS.Methods Through the National ART Information Ssystem,we selected those HIV/AIDS patients who initiated the ART 36 months after the ART,between January 1,2010 and December 31,2012 in Guangzhou,Liuzhou and Kunming.Patients were divided into age groups as 18-49,50-59 and 60 or over year olds,at the baseline of treatment.Under different levels of baseline CD4 counts,we chose the baseline and different time-point of CD4 counts as dependent variables,applied mixed linear model to analyze the effects of age,viral suppression,gender,baseline CD4/CDs ratio and initial treatment regimen.Results A total of 5 331 HIV/AIDS patients were recruited.No differences were found on age group ratios between different levels of baseline CD4 counts.At the level of baseline CD4＜200 cells/μl,both the 50-59 and 60 or above years old groups had lower CD4 counts than the 18-49 year-old group,within 36 months after the initiation of ART.However,at the baseline CD4 level of 200-350 cells/μl,no signiftcant differences on CD4 counts between the 50-59 year-old and 18-49 year-old groups were noticed.CD4 counts seemed lower in the 60 and above year-old group than in the 18-49 year-old group.Conclusion Age might serve as an influencing factor on CD4 counts within 36 months after the initiation of ART,suggesting that earlier initiation of ART might be of help to the recovery of immune function in the 50-59 year-old group.

CD4+ T lymphocyte responses to anti-retroviral therapy, among HIV/AIDS patients aged 18 and over / 中华流行病学杂志

Objective To compare the differences of CD4 +T lymphocyte (CD4) counts between patients aged 18 and over,to explore the effect of age on treatment,36 months after having received the China National Free AIDS Antiretroviral Treatment on HIV/AIDS.Methods Through the National ART Information Ssystem,we selected those HIV/AIDS patients who initiated the ART 36 months after the ART,between January 1,2010 and December 31,2012 in Guangzhou,Liuzhou and Kunming.Patients were divided into age groups as 18-49,50-59 and 60 or over year olds,at the baseline of treatment.Under different levels of baseline CD4 counts,we chose the baseline and different time-point of CD4 counts as dependent variables,applied mixed linear model to analyze the effects of age,viral suppression,gender,baseline CD4/CDs ratio and initial treatment regimen.Results A total of 5 331 HIV/AIDS patients were recruited.No differences were found on age group ratios between different levels of baseline CD4 counts.At the level of baseline CD4＜200 cells/μl,both the 50-59 and 60 or above years old groups had lower CD4 counts than the 18-49 year-old group,within 36 months after the initiation of ART.However,at the baseline CD4 level of 200-350 cells/μl,no signiftcant differences on CD4 counts between the 50-59 year-old and 18-49 year-old groups were noticed.CD4 counts seemed lower in the 60 and above year-old group than in the 18-49 year-old group.Conclusion Age might serve as an influencing factor on CD4 counts within 36 months after the initiation of ART,suggesting that earlier initiation of ART might be of help to the recovery of immune function in the 50-59 year-old group.