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Shang N, Li X, Guo Z, Zhang L, Wang S. Comparative analysis of the safety and effectiveness of Nirmatrelvir-Ritonavir and Azvudine in older patients with COVID-19: a retrospective study from a tertiary hospital in China. Front Pharmacol 2024; 15:1362345. [PMID: 39104387 PMCID: PMC11298358 DOI: 10.3389/fphar.2024.1362345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/27/2024] [Indexed: 08/07/2024] Open
Abstract
Introduction: Numerous studies have explored the treatment outcomes of Nirmatrelvir-Ritonavir and Azvudine in older patients with COVID-19. However, direct comparisons between these two drugs are still relatively limited. This study aims to compare the safety and effectiveness of these two drugs in Chinese older patients with early infection to provide strategies for clinical treatment. Methods: Older COVID-19 patients (age ≥65) hospitalized during the winter 2022 epidemic in China were included and divided into Nirmatrelvir-Ritonavir and Azvudine. Demographics, medication information, laboratory parameters, and treatment outcomes were collected. All-cause 28-day mortality, delta cycle threshold (ΔCt), nucleic acid negative conversion time, and incidence of adverse events were defined as outcomes. Propensity score matching (PSM), Kaplan-Meier, Cox proportional hazards model, subgroup analysis, and nomograms were selected to evaluate the outcomes. Results: A total of 1,508 older COVID-19 patients were screened. Based on the inclusion and exclusion criteria, 1,075 patients were eligible for the study. After PSM, the final number of older COVID-19 patients included in the study was 375, and there were no significant differences in demographic characteristics between the two groups (p > 0.05). Compared to the Azvudine group, the Nirmatrelvir-Ritonavir group showed a higher incidence of multiple adverse events (12.8% vs 5.2%, p = 0.009). The incidence of adverse events related to abnormal renal function was higher in the Nirmatrelvir-Ritonavir group compared to the Azvudine group (13.6% vs 7.2%, p = 0.045). There were no significant differences between the two groups in terms of all-cause 28-day mortality (HR = 1.020, 95% CI: 0.542 - 1.921, p = 0.951), whereas there were significant differences in nucleic acid negative conversion time (HR = 1.659, 95% CI: 1.166 - 2.360, p = 0.005) and ΔCt values (HR = 1.442, 95% CI: 1.084 - 1.918, p = 0.012). Conclusion: Azvudine and Nirmatrelvir-Ritonavir have comparable effectiveness in reducing mortality risk. Azvudine may perform better in nucleic acid negative conversion time and virus clearance and shows slightly better safety in older patients. Further studies with a larger sample size were needed to validate the result.
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Affiliation(s)
- Nan Shang
- Department of Pharmacy, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xianlin Li
- School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhiyu Guo
- School of Pharmacy, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lan Zhang
- School of Public Health, Capital Medical University, Beijing, China
| | - Shanshan Wang
- Section of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan, China
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Sen P, Zhang Z, Sakib S, Gu J, Li W, Adhikari BR, Motsenyat A, L'Heureux-Hache J, Ang JC, Panesar G, Salena BJ, Yamamura D, Miller MS, Li Y, Soleymani L. High-Precision Viral Detection Using Electrochemical Kinetic Profiling of Aptamer-Antigen Recognition in Clinical Samples and Machine Learning. Angew Chem Int Ed Engl 2024; 63:e202400413. [PMID: 38458987 DOI: 10.1002/anie.202400413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/05/2024] [Accepted: 03/08/2024] [Indexed: 03/10/2024]
Abstract
High-precision viral detection at point of need with clinical samples plays a pivotal role in the diagnosis of infectious diseases and the control of a global pandemic. However, the complexity of clinical samples that often contain very low viral concentrations makes it a huge challenge to develop simple diagnostic devices that do not require any sample processing and yet are capable of meeting performance metrics such as very high sensitivity and specificity. Herein we describe a new single-pot and single-step electrochemical method that uses real-time kinetic profiling of the interaction between a high-affinity aptamer and an antigen on a viral surface. This method generates many data points per sample, which when combined with machine learning, can deliver highly accurate test results in a short testing time. We demonstrate this concept using both SARS-CoV-2 and Influenza A viruses as model viruses with specifically engineered high-affinity aptamers. Utilizing this technique to diagnose COVID-19 with 37 real human saliva samples results in a sensitivity and specificity of both 100 % (27 true negatives and 10 true positives, with 0 false negative and 0 false positive), which showcases the superb diagnostic precision of this method.
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Affiliation(s)
- Payel Sen
- Department of Engineering Physics, McMaster University, Canada
| | - Zijie Zhang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | - Sadman Sakib
- Department of Engineering Physics, McMaster University, Canada
| | - Jimmy Gu
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | - Wantong Li
- Department of Engineering Physics, McMaster University, Canada
| | | | - Ariel Motsenyat
- Department of Integrated Biomedical Engineering and Health Sciences, McMaster University, Canada
| | | | - Jann C Ang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- McMaster Immunology Research Centre, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
| | - Gurpreet Panesar
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
| | | | - Debora Yamamura
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Canada
| | - Matthew S Miller
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- McMaster Immunology Research Centre, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
| | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- School of Biomedical Engineering, McMaster University, Canada
| | - Leyla Soleymani
- Department of Engineering Physics, McMaster University, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Canada
- School of Biomedical Engineering, McMaster University, Canada
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Lee HY, Park YJ, Yu M, Park H, Lee JJ, Choi J, Park HS, Kim JY, Moon JY, Lee SE. Accuracy of Rapid Antigen Screening Tests for SARS-CoV-2 Infection at Correctional Facilities in Korea: March - May 2022. Infect Chemother 2023; 55:460-470. [PMID: 37917993 PMCID: PMC10771955 DOI: 10.3947/ic.2023.0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/16/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND The number of confirmed cases of individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection increased rapidly due to the Omicron variant. Correctional facilities are vulnerable to infectious diseases, and they introduced rapid antigen tests (RATs) to allow for early detection and rapid response. We aimed to evaluate the diagnostic performance and usefulness of SARS-CoV-2 RATs in newly incarcerated people. MATERIALS AND METHODS We conducted a cross-sectional study at correctional facilities in Korea from 9 March to 22 May 2022. The study population was newly incarcerated people who were divided into two groups. In one group, 799 paired SARS-CoV-2 RATs and real-time polymerase chain reaction (RT-PCR) were conducted simultaneously in 522 individuals in March 2022. In the other group, 4,034 paired RATs and RT-PCR consecutively in 4,034 participants; only individuals with negative RATs results underwent RT-PCR from April to May 2022. We analyzed data using descriptive statistics and a logistic regression model. RESULTS Among the 799 specimens in March, RT-PCR was positive in 72 (9.0%), and among the 4,034 specimens in April - May 2022, RT-PCR was positive in 40 (1.0%). Overall, the RATs had a sensitivity of 58.3%, specificity of 100.0%, positive predictive value (PPV) of 100.0%, and negative predictive value (NPV) of 96.0%. Asymptomatic individuals constituted 98.2% of the study group, and symptomatic individuals 1.8%. In asymptomatic cases, the sensitivity of RATs was 52.5%, specificity was 100.0%, PPV was 100.0%, and NPV was 96.3%. In symptomatic cases, the sensitivity of RATs was 84.6%, specificity was 100.0%, PPV was 100.0%, and NPV was 33.3%. Sensitivity (P = 0.034) and NPV (P = 0.004) differed significantly according to the presence and absence of symptoms, and the F1 score was the highest at 0.9 in symptomatic individuals in March. There was a positive linear trend in the proportion of false-negative RATs in newly incarcerated people following the weekly incidence of SARS-CoV-2 (P = 0.033). The best-associated predictors of RATs for SARS-CoV-2 infection involved symptoms, timing of sample collection, and repeat testing. CONCLUSION Sensitivity and NPV significantly depend on whether symptoms are present, and the percentage of false negatives is correlated with the incidence. Thus, using RATs should be adjusted according to the presence or absence of symptoms and the incidence of SARS-CoV-2 infection in the community. RATs could be a useful screening tool as an effective first-line countermeasure because they can rapidly identify infectious patients and minimize SARS-CoV-2 transmission in correctional facilities.
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Affiliation(s)
- Hye Young Lee
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young-Joon Park
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Mi Yu
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Hanul Park
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ji Joo Lee
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Jihyun Choi
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Hee Seok Park
- COVID-19 Correctional Facility Emergency Response Team, Ministry of Justice, Seoul, Korea
| | - Jun Yeop Kim
- COVID-19 Correctional Facility Emergency Response Team, Ministry of Justice, Seoul, Korea
| | - Jun Young Moon
- COVID-19 Correctional Facility Emergency Response Team, Ministry of Justice, Seoul, Korea
| | - Sang-Eun Lee
- Division of Epidemiological Investigation Analysis, Bureau of Public Health Emergency Preparedness, Korea Disease Control and Prevention Agency, Cheongju, Korea.
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Widyasari K, Kim S. Efficacy of novel SARS-CoV-2 rapid antigen tests in the era of omicron outbreak. PLoS One 2023; 18:e0289990. [PMID: 37561721 PMCID: PMC10414561 DOI: 10.1371/journal.pone.0289990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/30/2023] [Indexed: 08/12/2023] Open
Abstract
Following the outbreak of Omicron and its subvariants, many of the currently available rapid Ag tests (RATs) showed a decrease in clinical performance. In this study, we evaluated the clinical sensitivity of the SARS-CoV-2 Rapid Antigen Test 2.0 for nasopharyngeal swabs and SARS-CoV-2 Rapid Antigen Test 2.0 Nasal for nasal swabs in 56 symptomatic individuals by comparing the results between RATs, RT-PCR, Omicron RT-PCR, and whole-genome sequencing (WGS). Furthermore, sequences of the Omicron subvariants' spike proteins were subjected to phylogenetic analysis. Both novel RATs demonstrated a high sensitivity of up to 92.86%, (95% CI 82.71%- 98.02%), 94.23%, (95% CI 83.07%- 98.49%), and 97.95% (95% CI 87.76%- 99.89%) compared to the RT-PCR, Omicron RT-PCR, and WGS, respectively. The clinical sensitivity of RATs was at its highest when the Ct value was restricted to 15≤Ct<25, with a sensitivity of 97.05% for RdRp genes. The Omicron RT-PCR analysis revealed subvariants BA.4 or BA.5 (76.8%) and BA.2.75 (16.1%). Subsequently, the WGS analysis identified BA.5 (65.5%) as the dominant subvariant. Phylogenetic analysis of the spike protein of Omicron's subvariants showed a close relationship between BA.4, BA.5, and BA.2.75. These results demonstrated that SARS-CoV-2 Rapid Antigen Test 2.0 and SARS-CoV-2 Rapid Antigen Test 2.0 Nasal are considered useful and efficient RATs for the detection of SARS-CoV-2, particularly during the current Omicron subvariants wave.
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Affiliation(s)
- Kristin Widyasari
- Gyeongsang Institute of Medical Science, Gyeongsang National University, Jinju, Republic of Korea
| | - Sunjoo Kim
- Gyeongsang Institute of Medical Science, Gyeongsang National University, Jinju, Republic of Korea
- Department of Laboratory Medicine, College of Medicine, Gyeongsang National University, Jinju, Republic of Korea
- Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
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