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BackgroundCoronavirus disease 2019 (COVID-19) has become a global health problem. We aim to investigate the changes in the results of viral nucleic acid tests on pharyngeal swabs and feces of patients with COVID-19 and CT imaging of lungs as the disease progresses. MethodsSeven patients with COVID-19 in the third affiliated hospital of Sun Yat-sen University Yuedong Hospital were retrospectively enrolled with clinical features, including imaging staging, and performance characteristics of viral nucleic acid test results of pharyngeal swabs and feces. The dynamic changes of these features were observed during hospitalization, and therapeutic effect and prognosis of patients were evaluated. ResultsThe results of seven cases with COVID-19 were positive for viral nucleic acid tests on pharyngeal swabs early after the onset of symptoms, and then turned negative; while the results of viral nucleic acid tests on feces were persistently positive in the mid-term clinical treatment and recovery period. And the viral nucleic acid test results were capricious in three cases. Pulmonary CT imaging showed characteristic changes in early, advanced and recovery phases. ConclusionThe application of viral nucleic acid detection and pulmonary CT imaging can be used for screening of suspected cases. Fecal nucleic acid test should be recommended as the reference of discharge standard, in order to minimize the risk of transmission from digestive tract.
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BackgroundDue to no reliable risk stratification tool for severe corona virus disease 2019 (COVID-19) patients at admission, we aimed to construct an effective model for early identifying cases at high risk of progression to severe COVID-19. MethodsIn this retrospective three-centers study, 372 non-severe COVID-19 patients during hospitalization were followed for more than 15 days after admission. Patients who deteriorated to severe or critical COVID-19 and patients who kept non-severe state were assigned to the severe and non-severe group, respectively. Based on baseline data of the two groups, we constructed a risk prediction nomogram for severe COVID-19 and evaluate its performance. ResultsThe train cohort consisted of 189 patients, while the two independent validation cohorts consisted of 165 and 18 patients. Among all cases, 72 (19.35%) patients developed severe COVID-19. We found that old age, and higher serum lactate dehydrogenase, C-reactive protein, the coefficient of variation of red blood cell distribution width, blood urea nitrogen, direct bilirubin, lower albumin, are associated with severe COVID-19. We generated the nomogram for early identifying severe COVID-19 in the train cohort (AUC 0.912 [95% CI 0.846-0.978], sensitivity 85.71%, specificity 87.58%); in validation cohort (0.853 [0.790-0.916], 77.5%, 78.4%). The calibration curve for probability of severe COVID-19 showed optimal agreement between prediction by nomogram and actual observation. Decision curve and clinical impact curve analysis indicated that nomogram conferred high clinical net benefit. ConclusionOur nomogram could help clinicians to early identify patients who will exacerbate to severe COVID-19, which will enable better centralized management and early treatment of severe patients. SummaryOlder age; higher LDH, CRP, RDW, DBIL, BUN; lower ALB on admission correlated with higher odds of severe COVID-19. An effective prognostic nomogram composed of 7 features could allow early identification of patients at risk of exacerbation to severe COVID-19.
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BackgroundA novel coronavirus (COVID-19) has emerged recently as an acute respiratory syndrome. The outbreak was originally reported in Wuhan, China, but has subsequently been spread world-widely. As the COVID-19 continues to spread rapidly across the world, computed tomography (CT) has become essentially important for fast diagnoses. Thus, it is urgent to develop an accurate computer-aided method to assist clinicians to identify COVID-19-infected patients by CT images. Materials and MethodsWe collected chest CT scans of 88 patients diagnosed with the COVID-19 from hospitals of two provinces in China, 101 patients infected with bacteria pneumonia, and 86 healthy persons for comparison and modeling. Based on the collected dataset, a deep learning-based CT diagnosis system (DeepPneumonia) was developed to identify patients with COVID-19. ResultsThe experimental results showed that our model can accurately identify the COVID-19 patients from others with an excellent AUC of 0.99 and recall (sensitivity) of 0.93. In addition, our model was capable of discriminating the COVID-19 infected patients and bacteria pneumonia-infected patients with an AUC of 0.95, recall (sensitivity) of 0.96. Moreover, our model could localize the main lesion features, especially the ground-glass opacity (GGO) that is of great help to assist doctors in diagnosis. The diagnosis for a patient could be finished in 30 seconds, and the implementation on Tianhe-2 supercompueter enables a parallel executions of thousands of tasks simultaneously. An online server is available for online diagnoses with CT images by http://biomed.nscc-gz.cn/server/Ncov2019. ConclusionsThe established models can achieve a rapid and accurate identification of COVID-19 in human samples, thereby allowing identification of patients.
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The novel coronavirus pneumonia (NCP) has spread from Wuhan to all parts of China since December 2019, and the prevention and control of NCP is a top priority for medical staff. Now report three cases of NCP patients, whose viral nucleic acids still positive in stool after throat swab detection turned negative. In view of the highly homologous and similar clinical manifestations between the 2019 novel coronavirus (2019-nCoV) and the severe acute respiratory syndrome(SARS) related coronaviruses, it is recommended to attach great importance to the detection of the viral nucleic acids in stool, with the reference of SARS prevention and control experience. In order to minimize the risks of gastrointestinal spread, the detection of 2019-nCoV nucleic acids in stool may be recommended as the reference standard of disisolation and discharge.
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Objective@#To evaluate the real-world safety and curative effect of ombitasvir combined with dasabuvir for the treatment of chronic hepatitis C 1b genotype infection in non-cirrhotic or compensated cirrhotic patients.@*Methods@#A real-world research method was adopted, and the research was conducted at three medical centers of mainland China. Non- cirrhotic or compensated cirrhotic patients with HCV genotype 1b infection who were initially treated with IFN/PEG-IFN-alpha combined with ribavirin, and ombitasvir combined with dasabuvir for 8 or 12 weeks were taken. Sustained virological response (SVR) and the incidence of adverse events during treatment and follow-up were evaluated after 12 weeks of drug withdrawal at OBV/PTV/r 25/150/100mg once daily and DSV 250mg, twice daily. Median and range were used for description of non-normally distributed data.@*Results@#80 cases of GT1b were included in this study. Of these 88.8% (71/80) were newly diagnosed, 12.5% (10/80) were compensated cirrhotic, 97.5% (78/80) received 12 weeks treatment, and 2.5% (2/80) received 8 weeks treatment. The rate of HCV RNA negative at EOT (end of treatment) was 100% (64/64). A total of 67 patients completed the treatment within 12 weeks, and 43 patients returned to the hospital for further consultations, and SVR12 was 100%(43/43). No patient discontinued the drugs because of an adverse event during treatment.@*Conclusion@#In the real world, Ombitasvir combined with dasabuvir for the treatment of chronic hepatitis C 1b genotype infection in China has 100% rates of EOT and SVR12 with well- tolerability and safety.
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<p><b>OBJECTIVE</b>To evaluate the efficacy and safety of tenofovir disoproxil fumarate (TDF) in patients with chronic hepatitis B (CHB) after failure of nucleoside-analogues (NAs).</p><p><b>METHODS</b>A total of 30 CHB patients who had been previously treated with NAs and had subsequently completed a 48-week course of TDF were retrospectively investigated. Patients' data of HBV DNA level (log10 copies/ml) and rate of undetectable HBV DNA at treatment weeks 0 (baseline), 4, 12, 24, 36 and 48 were collected for evaluation. The lower limit of HBV DNA detection was 100 IU/ml. The serum alanine aminotransferase (ALT) normalization rate, hepatitis B e antigen (HBeAg) seroconversion rate, viral breakthrough (VBT) rate, viral response (VR) rate, and adverse events were determined upon treatment completion. Statistical analyses were carried out using the Student's t-test, the x² test or the Kaplan-Meier method.</p><p><b>RESULTS</b>Over the 48-week treatment period, HBV DNA levels declined significantly from baseline (week 4:(2.11 ± 0.38) log10 IU/ml, t =5.582; week 12:(0.93 ± 0.31) log10 IU/ ml, t =9.303; week 24:(0.75 ± 0.20) log10 IU/ml, t =3.123; week 36:(0.16 ± 0.19) log10 IU/ml, t =10.759; week 48:(0.14 ± 0.25) log10 IU/ml, t =12.202) (all P less than 0.01). However, the rates of HBV DNA reduction and of cumulative reduction were comparable at weeks 24, 36 and 48 (all P more than 0.05). The most robust decline in HBV DNA levels was observed at week 4 ((2.11 ± 0.38) log10 IU/ml) and the highest cumulative HBV DNA reduction was observed at week 24 ((3.79 ± 0.37) log10 IU/ml). The rate of undetectable HBV DNA at week 4 (26.7%) was significantly lower than that at weeks 24 (87.5%, P less than 0.01), 36 (80.0%, P=0.007), and 48 (88.9%, P=0.001). The median time to achieving undetectable HBV DNA was 10.4 weeks (range:3.43-34.0 weeks). At week 48, the rates of VR, HBeAg seroconversion, and VBT were 88.9% ,6.7%, and 0% respectively. During treatment, the levels of creatine kinase were more than two times the upper limit normal in 9.2% of the patients, and were comparable at each time point examined (all P more than 0.05). All patients showed a normal level of serum creatinine throughout the treatment period.</p><p><b>CONCLUSION</b>For CHB patients with non-response to NAs, TDF can suppress HBV DNA replication very quickly and achieve a high rate of ALT normalization with a low rate of adverse events.</p>
