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1.
J Breath Res ; 17(1)2022 11 24.
Article in English | MEDLINE | ID: covidwho-2246485

ABSTRACT

The spread of coronavirus disease 2019 (COVID-19) results in an increasing incidence and mortality. The typical diagnosis technique for severe acute respiratory syndrome coronavirus 2 infection is reverse transcription polymerase chain reaction, which is relatively expensive, time-consuming, professional, and suffered from false-negative results. A reliable, non-invasive diagnosis method is in urgent need for the rapid screening of COVID-19 patients and controlling the epidemic. Here we constructed an intelligent system based on the volatile organic compound (VOC) biomarkers in human breath combined with machine learning models. The VOC profiles of 122 breath samples (65 of COVID-19 infections and 57 of controls) were identified with a portable gas chromatograph-mass spectrometer. Among them, eight VOCs exhibited significant differences (p< 0.001) between the COVID-19 and the control groups. The cross-validation algorithm optimized support vector machine (SVM) model was employed for the prediction of COVID-19 infection. The proposed SVM model performed a powerful capability in discriminating COVID-19 patients from healthy controls, with an accuracy of 97.3%, a sensitivity of 100%, a specificity of 94.1%, and a precision of 95.2%, and anF1 score of 97.6%. The SVM model was also compared with other common machine models, including artificial neural network,k-nearest neighbor, and logistic regression, and demonstrated obvious superiority in the prediction of COVID-19 infection. Furthermore, user-friendly software was developed based on the optimized SVM model. The developed intelligent platform based on breath analysis provides a new strategy for the point-of-care screening of COVID and shows great potential in clinical application.


Subject(s)
COVID-19 , Volatile Organic Compounds , Humans , Breath Tests/methods , Volatile Organic Compounds/analysis , Support Vector Machine , Biomarkers/analysis
2.
Ann Palliat Med ; 10(5): 5146-5155, 2021 May.
Article in English | MEDLINE | ID: covidwho-1200420

ABSTRACT

BACKGROUND: Reduning injection is a traditional Chinese medicine (TCM) with known efficacy against a variety of viral infections, but there is no data about its efficacy against coronavirus disease 2019 (COVID-19). METHODS: To explore the efficacy and safety of Reduning injection in the treatment of COVID-19, a randomized, open-labeled, multicenter, controlled trial was conducted from 12 general hospitals between 2020.02.06 and 2020.03.23. Patients with COVID-19 who met the diagnostic criteria of the "Diagnosis and Treatment Program for Novel Coronavirus Infection Pneumonia (Trial Fifth Edition)". Patients were randomized to routine treatment with or without Reduning injection (20 mL/day for 14 days) (ChiCTR2000029589). The primary endpoint was the rate of achieving clinical symptom recovery on day 14 of treatment. RESULTS: There were 77 and 80 participants in the Reduning and control groups. The symptom resolution rate at 14 days was higher in the Reduning injection than in controls [full-analysis set (FAS): 84.4% vs. 60.0%, P=0.0004]. Compared with controls, the Reduning group showed shorter median time to resolution of the clinical symptoms (143 vs. 313.5 h, P<0.001), shorter to nucleic acid test turning negative (146.5 vs. 255.5 h, P<0.001), shorter hospital stay (14.1 vs. 18.1 days, P<0.001), and shorter time to defervescence (29 vs. 71 h, P<0.001). There was no difference in AEs (3.9% vs. 8.8%, P=0.383). CONCLUSIONS: This preliminary trial suggests that Reduning injection might be effective and safe in patients with symptomatic COVID-19.


Subject(s)
COVID-19 , Drugs, Chinese Herbal , Drugs, Chinese Herbal/adverse effects , Humans , Medicine, Chinese Traditional , SARS-CoV-2 , Treatment Outcome
3.
BMC Cancer ; 20(1): 1194, 2020 Dec 07.
Article in English | MEDLINE | ID: covidwho-962804

ABSTRACT

BACKGROUND: Due to the increased risk of viral infection and the severe shortage of medical resources during the pandemic of COVID-19, most hospitals in the epidemic areas significantly reduced non-emergency admissions and services, if not closed. As a result, it has been difficult to treat cancer patients on time, which adversely affects their prognosis. To address this problem, cancer centers must develop a strategic plan to manage both inpatients and outpatients during the pandemic, provide them with the necessary treatment, and at the same time prevent the spread of the virus among patients, visitors and medical staff. METHODS: Based upon the epidemic situation in Zhejiang Province, China, the number of running non-emergency medical wards in the Zhejiang Cancer Hospital was gradually increased in a controlled manner. All staff of the hospital received COVID-19 preventive training and was provided with three different levels of protection according to the risks of their services. Only patients without a known history of SARS-CoV-2 contact were eligible to schedule an appointment. Body temperature was measured on all patients upon their arrival at the hospital. Chest CT image, blood cell counting and travel/contact history were investigated in patients with fever. Respiratory tract samples, such as sputum and throat swabs, from all patients, including those clinically suspected of SARS-CoV-2 infection, were collected for nucleic acid detection of SARS-CoV-2 before treatment. RESULTS: A total of 3697 inpatients and 416 outpatients seeking cancer treatment were enrolled from February 1 to April 3, 2020, in compliance with the hospital's infection-control interventions. The clinicopathological parameters of the patients were summarized herein. 4237 samples from 4101 patients produced negative RNA testing results. Four clinically suspected patients all presented negative RNA test results and were excluded from the SARS-CoV-2 infection through follow-up retesting and monitoring. Seven patients with only N-gene positive results were retested, followed by CT scan and SARS-CoV-2 contact history investigation. All of them were finally diagnosed as non-infected patients. There was one outpatient who was confirmed positive by virus RNA test and then followed up. She might be an asymptomatic laboratory-confirmed case. During the study period, there was no SARS-CoV-2 infection among staff, patients and escorts of patients in the Zhejiang Cancer Hospital. CONCLUSION: This study suggested our infection-control interventions, including viral nucleic acid test, could be used as a reliable method to screen cancer patients in the area with moderate COVID-19 prevalence. Cancer may not be a high-risk factor of SARS-CoV-2 infection.


Subject(s)
COVID-19/epidemiology , Disease Management , Neoplasms/diagnosis , Pandemics , Adolescent , Adult , China/epidemiology , Female , Humans , Male , Middle Aged , Neoplasms/therapy , Patients , Young Adult
4.
Medicine (Baltimore) ; 99(30): e20979, 2020 Jul 24.
Article in English | MEDLINE | ID: covidwho-684113

ABSTRACT

BACKGROUND: Since the outbreak of Novel Coronavirus Pneumonia (NCP), it has swept the world with rapid development. Up to now, there is no effective drug to treat it. Lianhua Qingwen has been used in the treatment of COVID-19 in China, but there is no systematic review about it. This study will systematically evaluate its efficacy and safety in the treatment of COVID-19. METHODS: We will search electronic database of PubMed, EMBASE, Cochrane library, Web of Science (WOS), China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Chinese Scientific and Journal Database (VIP) and Wan Fang database (Wanfang) for the literature of RCTs of Lianhua Qingwen capsule for coronavirus disease 2019 (COVID-19). We will also search the Chinese Clinical Trial Registry (ChiCTR) and ClinicalTrials.gov (www.ClinicalTrials.gov) for ongoing trials with unpublished data, and the Conference abstracts will be searched manually. We will use the Cochrane Handbook for Systematic Reviews of Interventions to assess the risk of bias. The protocol will be conducted according to the approach and Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). RESULTS: The study results will provide evidence of the efficacy and safety of Lianhua Qingwen (LHQW) for coronavirus disease 2019 (COVID-19). CONCLUSION: The result of the study will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020180877.


Subject(s)
Betacoronavirus , Coronavirus Infections/drug therapy , Drugs, Chinese Herbal/therapeutic use , Pneumonia, Viral/drug therapy , COVID-19 , Humans , Meta-Analysis as Topic , Pandemics , Research Design , SARS-CoV-2 , Systematic Reviews as Topic , Treatment Outcome , COVID-19 Drug Treatment
5.
Medicine (Baltimore) ; 99(28): e21039, 2020 Jul 10.
Article in English | MEDLINE | ID: covidwho-647139

ABSTRACT

BACKGROUND: Novel coronavirus has infected 4.33 million people in more than 200 countries in the current global outbreak of COVID-19. However, there is still no effective drug to treat the disease, and acupuncture and moxibustion is utilized as adjuvant therapy for the treatment of COVID-19 in China. METHODS: Nine electronic databases: PubMed, EMBASE, Cochrane library, Web of Science (WOS), Google Scholar, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Chinese Scientific and Journal Database (VIP), Wan Fang database (Wanfang) and 2 clinical trials register platforms: Chinese Clinical Trial Registry (ChiCTR), ClinicalTrials.gov (www.ClinicalTrials.gov/) will be searched for RCTs of A&M for COVID-19. The screening process will be developed by 2 independent reviewers, and meta-analysis will be performed with RevMan (V5.3.5) software. RESULTS: The study results will be contributed to a scientific journal after peer-reviewed for publication. CONCLUSION: The study will provide up-to-date evidence of the effectiveness and safety of A&M for patients with COVID-19. PROSPERO REGISTRATION NUMBER: CRD42020185776.


Subject(s)
Acupuncture Therapy/methods , Coronavirus Infections/therapy , Moxibustion/methods , Pneumonia, Viral/therapy , Betacoronavirus/isolation & purification , COVID-19 , Combined Modality Therapy/methods , Coronavirus Infections/drug therapy , Humans , Meta-Analysis as Topic , Pandemics , Research Design , SARS-CoV-2 , Systematic Reviews as Topic , Treatment Outcome , COVID-19 Drug Treatment
6.
Medicine (Baltimore) ; 99(24): e20531, 2020 Jun 12.
Article in English | MEDLINE | ID: covidwho-601444

ABSTRACT

BACKGROUND: Currently, the global number of infected novel coronavirus has exceeded 2.6 million and the death toll has exceeded 170,000, but the specific drug for the treatment of COVID-19 has been not appears. In the process of fighting COVID-19 in China, JHQG has been promoted by the Chinese government and widely used in the treatment of COVID-19. The purpose of this study is to systematically evaluate the efficacy and safety of JHQG for COVID-19. METHODS: We are going to search the electronic databases: PubMed, EMBASE, Cochrane library, Web of Science (WOS), Google scholar, China National Knowledge Infrastructure (CNKI), Chinese Biomedical literature Database (CBM), Chinese Scientific and Journal Database (VIP), Wan Fang database (Wanfang) for published clinical trails and search clinical trials register platforms of Chinese Clinical Trial Registry (ChiCTR) and ClinicalTrials.gov (www.ClinicalTrials.gov/) for ongoing trials of Jinhua Qinggan granule for COVID-19. The primary outcomes of the included studies contain Clinical symptom disappearance rate and the secondary outcomes obtain: TCM syndrome scale score, Hamilton anxiety scale score, and adverse events. We will use RevMan V5.3 software to perform the calculations. PRISMA-P checklist was used in writing this report. RESULTS: The study results will be submitted to a peer-reviewed journal for publication. CONCLUSION: This study will provide a high-quality evidence of the efficacy and safety of Jinhua Qinggan granule on patients with COVID-19. PROSPERO REGISTRATION NUMBER: CRD42020181919.


Subject(s)
Betacoronavirus , Coronavirus Infections/drug therapy , Drugs, Chinese Herbal/therapeutic use , Pneumonia, Viral/drug therapy , COVID-19 , Drugs, Chinese Herbal/adverse effects , Humans , Meta-Analysis as Topic , Pandemics , Randomized Controlled Trials as Topic , SARS-CoV-2 , Systematic Reviews as Topic , COVID-19 Drug Treatment
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