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Du Q, Liang R, Wu M, Yang M, Xie Y, Liu Q, Tang K, Lin X, Yuan S, Shen J. Alisol B 23-acetate broadly inhibits coronavirus through blocking virus entry and suppresses proinflammatory T cells responses for the treatment of COVID-19. J Adv Res 2024; 62:273-290. [PMID: 37802148 PMCID: PMC11331179 DOI: 10.1016/j.jare.2023.10.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/11/2023] [Accepted: 10/02/2023] [Indexed: 10/08/2023] Open
Abstract
INTRODUCTION Emerging severe acute respiratory syndrome (SARS) coronavirus (CoV)-2 causes a global health disaster and pandemic. Seeking effective anti-pan-CoVs drugs benefit critical illness patients of coronavirus disease 2019 (COVID-19) but also may play a role in emerging CoVs of the future. OBJECTIVES This study tested the hypothesis that alisol B 23-acetate could be a viral entry inhibitor and would have proinflammatory inhibition for COVID-19 treatment. METHODS SARS-CoV-2 and its variants infected several cell lines were applied to evaluate the anti-CoVs activities of alisol B 23-aceate in vitro. The effects of alisol B 23-acetate on in vivo models were assessed by using SARS-CoV-2 and its variants challenged hamster and human angiotensin-converting enzyme 2 (ACE2) transgenic mice. The target of alisol B 23-acetate to ACE2 was analyzed using hydrogen/deuterium exchange (HDX) mass spectrometry (MS). RESULTS Alisol B 23-acetate had inhibitory effects on different species of coronavirus. By using HDX-MS, we found that alisol B 23-acetate had inhibition potency toward ACE2. In vivo experiments showed that alisol B 23-acetate treatment remarkably decreased viral copy, reduced CD4+ T lymphocytes and CD11b+ macrophages infiltration and ameliorated lung damages in the hamster model. In Omicron variant infected human ACE2 transgenic mice, alisol B 23-acetate effectively alleviated viral load in nasal turbinate and reduced proinflammatory cytokines interleukin 17 (IL17) and interferon γ (IFNγ) in peripheral blood. The prophylactic treatment of alisol B 23-acetate by intranasal administration significantly attenuated Omicron viral load in the hamster lung tissues. Moreover, alisol B 23-acetate treatment remarkably inhibited proinflammatory responses through mitigating the secretions of IFNγ and IL17 in the cultured human and mice lymphocytes in vitro. CONCLUSION Alisol B 23-acetate could be a promising therapeutic agent for COVID-19 treatment and its underlying mechanisms might be attributed to viral entry inhibition and anti-inflammatory activities.
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Affiliation(s)
- Qiaohui Du
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong, Hong Kong Special Administrative Region
| | - Ronghui Liang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Meiling Wu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region
| | - Minxiao Yang
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region
| | - Yubin Xie
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Qing Liu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region
| | - Kaiming Tang
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region
| | - Xiang Lin
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region
| | - Shuofeng Yuan
- State Key Laboratory of Emerging Infectious Diseases, Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region; Centre for Virology, Vaccinology and Therapeutics, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region; Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China.
| | - Jiangang Shen
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong Special Administrative Region; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong, Hong Kong Special Administrative Region.
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Madrid J, Agarwal P, Müller-Peltzer K, Benning L, Selig M, Rolauffs B, Diehl P, Kalbhenn J, Trummer G, Utzolino S, Wengenmayer T, Busch HJ, Stolz D, Rieg S, Panning M, Bamberg F, Schlett CL, Askani E. Cardioprotective effects of vaccination in hospitalized patients with COVID-19. Clin Exp Med 2024; 24:103. [PMID: 38758248 PMCID: PMC11101587 DOI: 10.1007/s10238-024-01367-3] [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: 02/17/2024] [Accepted: 04/29/2024] [Indexed: 05/18/2024]
Abstract
COVID-19 vaccination has been shown to prevent and reduce the severity of COVID-19 disease. The aim of this study was to explore the cardioprotective effect of COVID-19 vaccination in hospitalized COVID-19 patients. In this retrospective, single-center cohort study, we included hospitalized COVID-19 patients with confirmed vaccination status from July 2021 to February 2022. We assessed outcomes such as acute cardiac events and cardiac biomarker levels through clinical and laboratory data. Our analysis covered 167 patients (69% male, mean age 58 years, 42% being fully vaccinated). After adjustment for confounders, vaccinated hospitalized COVID-19 patients displayed a reduced relative risk for acute cardiac events (RR: 0.33, 95% CI [0.07; 0.75]) and showed diminished troponin T levels (Cohen's d: - 0.52, 95% CI [- 1.01; - 0.14]), compared to their non-vaccinated peers. Type 2 diabetes (OR: 2.99, 95% CI [1.22; 7.35]) and existing cardiac diseases (OR: 4.31, 95% CI [1.83; 10.74]) were identified as significant risk factors for the emergence of acute cardiac events. Our findings suggest that COVID-19 vaccination may confer both direct and indirect cardioprotective effects in hospitalized COVID-19 patients.
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Affiliation(s)
- Julian Madrid
- Department of Cardiology, Pneumology, Angiology, Acute Geriatrics and Intensive Care, Ortenau Klinikum, Klostenstraße 19, 77933, Lahr/Schwarzwald, Germany.
| | - Prerana Agarwal
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Katharina Müller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Leo Benning
- University Emergency Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Mischa Selig
- G.E.R.N. Research Center for Tissue Replacement, Regeneration & Neogenesis, Department of Orthopedics and Trauma Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bernd Rolauffs
- G.E.R.N. Research Center for Tissue Replacement, Regeneration & Neogenesis, Department of Orthopedics and Trauma Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Philipp Diehl
- Department of Cardiology, Pneumology, Angiology, Acute Geriatrics and Intensive Care, Ortenau Klinikum, Klostenstraße 19, 77933, Lahr/Schwarzwald, Germany
| | - Johannes Kalbhenn
- Department of Anesthesiology and Intensive Care Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Georg Trummer
- Department of Cardiovascular Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefan Utzolino
- Department of General and Visceral Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Wengenmayer
- Interdisciplinary Medical Intensive Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Hans-Jörg Busch
- University Emergency Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Daiana Stolz
- Clinic of Respiratory Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Siegbert Rieg
- Division of Infectious Diseases, Department of Medicine II, Medical Center -University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marcus Panning
- Institute of Virology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Esther Askani
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
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Zhu Z, Hu G, Ying Z, Wang J, Han W, Pan Z, Tian X, Song W, Sui X, Song L, Jin Z. Time-dependent CT score-based model for identifying severe/critical COVID-19 at a fever clinic after the emergence of Omicron variant. Heliyon 2024; 10:e27963. [PMID: 38586383 PMCID: PMC10998101 DOI: 10.1016/j.heliyon.2024.e27963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 02/22/2024] [Accepted: 03/08/2024] [Indexed: 04/09/2024] Open
Abstract
Rationale and objectives The computed tomography (CT) score has been used to evaluate the severity of COVID-19 during the pandemic; however, most studies have overlooked the impact of infection duration on the CT score. This study aimed to determine the optimal cutoff CT score value for identifying severe/critical COVID-19 during different stages of infection and to construct corresponding predictive models using radiological characteristics and clinical factors. Materials and methods This retrospective study collected consecutive baseline chest CT images of confirmed COVID-19 patients from a fever clinic at a tertiary referral hospital from November 28, 2022, to January 8, 2023. Cohorts were divided into three subcohorts according to the time interval from symptom onset to CT examination at the hospital: early phase (0-3 days), intermediate phase (4-7 days), and late phase (8-14 days). The binary endpoints were mild/moderate and severe/critical infection. The CT scores and qualitative CT features were manually evaluated. A logistic regression analysis was performed on the CT score as determined by a visual assessment to predict severe/critical infection. Receiver operating characteristic analysis was performed and the area under the curve (AUC) was calculated. The optimal cutoff value was determined by maximizing the Youden index in each subcohort. A radiology score and integrated models were then constructed by combining the qualitative CT features and clinical features, respectively, using multivariate logistic regression with stepwise elimination. Results A total of 962 patients (aged, 61.7 ± 19.6 years; 490 men) were included; 179 (18.6%) were classified as severe/critical COVID-19, while 344 (35.8%) had a typical Radiological Society of North America (RSNA) COVID-19 appearance. The AUCs of the CT score models reached 0.91 (95% confidence interval (CI) 0.88-0.94), 0.82 (95% CI 0.76-0.87), and 0.83 (95% CI 0.77-0.89) during the early, intermediate, and late phases, respectively. The best cutoff values of the CT scores during each phase were 1.5, 4.5, and 5.5. The predictive accuracies associated with the time-dependent cutoff values reached 88% (vs.78%), 73% (vs. 63%), and 87% (vs. 57%), which were greater than those associated with universal cutoff value (all P < 0.001). The radiology score models reached AUCs of 0.96 (95% CI 0.94-0.98), 0.90 (95% CI 0.87-0.94), and 0.89 (95% CI 0.84-0.94) during the early, intermediate, and late phases, respectively. The integrated models including demographic and clinical risk factors greatly enhanced the AUC during the intermediate and late phases compared with the values obtained with the radiology score models; however, an improvement in accuracy was not observed. Conclusion The time interval between symptom onset and CT examination should be tracked to determine the cutoff value for the CT score for identifying severe/critical COVID-19. The radiology score combining qualitative CT features and the CT score complements clinical factors for identifying severe/critical COVID-19 patients and facilitates timely hierarchical diagnoses and treatment.
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Affiliation(s)
- Zhenchen Zhu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ge Hu
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhoumeng Ying
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinhua Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengsong Pan
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinlun Tian
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Sui
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lan Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Song J, Jeong S, Choi S, Oh YH, Park SJ, Chang JY, Cho Y, Byeon K, Choi JY, Lee S, Jung J, Park SM. Inverse association with COVID-19 vaccination status of the incidence of pneumonia after SARS-CoV-2 infection: A nationwide retrospective cohort study. J Infect Public Health 2024; 17:650-656. [PMID: 38430718 DOI: 10.1016/j.jiph.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 02/04/2024] [Accepted: 02/07/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Although one of the characteristics of COVID-19 is accompanied by acute pneumonia immediately after infection, large-scale cohort studies focused on this issue are lacking. In addition, there is interest in how COVID-19 vaccinations reduce the incidence of acute pneumonia for people infected with different strains of SARS-CoV-2. Thus, we assess the short-term incidence of pneumonia after COVID-19 with the vaccination and SARS-CoV-2 variants. METHODS As data for 2136,751 COVID-19 patients between January 01, 2020 and February 28, 2022 was collected, they were observed for one month from the day of infection. Patients in retrospective cohort study were classified according to doses of the received vaccine and the epidemic phase when SARS-CoV-2 variants prevailed. Multivariable logistic regression analysis calculated adjusted odds ratios (aOR) and 95% confidence intervals (CIs) for the pneumonia risk. RESULTS In B.1.1.7-B.1.351, B.1.617.2, and B.1.617.2 variants, the aORs (95% CIs; p-value) for incidence of pneumonia were 0.93 (0.89-0.98; <0.001), 0.74 (0.70-0.78; <0.001), and 0.04 (0.038-0.043; <0.001), respectively, compared to the original strain. More than 80% of patients have received the second and more doses of the vaccine (average age=44.67 years). The aORs (95% CIs; p-value) for pneumonia were 0.61 (0.58-0.64; <0.001), 0.39 (0.38-0.40; <0.001), and 0.18 (0.166-0.184; <0.001) in patients who received the first (N = 68,216), second (N = 898,838), and ≥ third doses (N = 836,173), respectively, compared to unvaccinated patients. According to the received vaccine (second dose of mRNA or viral vector), those who received BNT162b2 and mRNA-1273 (N = 787,980) had lower risk of pneumonia, compared to that in those who received h ChAdOx1 nCov-19 and AD26. COV2-S (N = 89,024). CONCLUSIONS Our findings suggest that the second and ≥ third doses (61% and 82% of risk aversion effect increased, respectively) of the COVID-19 vaccine can prevent the COVID-19-related pneumonia, regardless of the variants.
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Affiliation(s)
- Jihun Song
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Seogsong Jeong
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seulggie Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yun Hwan Oh
- Department of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong©, Republic of Korea
| | - Sun Jae Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Joo Young Chang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea
| | - Kyeonghyang Byeon
- Associate Research Fellow, Big Data Department, National Health Insurance Service, Wonju, Republic of Korea
| | - Jun Yong Choi
- Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seju Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea
| | - Jaehun Jung
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon 21556, Republic of Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Republic of Korea; Department of Family Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
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5
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Madrid J, Agarwal P, Müller-Peltzer K, Askani M, Benning L, Selig M, Diehl P, Kalbhenn J, Trummer G, Utzolino S, Wengenmayer T, Busch HJ, Stolz D, Rieg S, Panning M, Schlett CL, Bamberg F, Askani E. Vaccination protects against acute respiratory distress syndrome (ARDS) in hospitalized patients with COVID-19. Clin Exp Med 2024; 24:21. [PMID: 38280024 PMCID: PMC10822002 DOI: 10.1007/s10238-023-01293-w] [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: 11/20/2023] [Accepted: 12/28/2023] [Indexed: 01/29/2024]
Abstract
This study aimed to analyze the effect of COVID-19 vaccination on the occurrence of ARDS in hospitalized COVID-19 patients. The study population of this retrospective, single-center cohort study consisted of hospitalized COVID-19 patients with known vaccination status and chest computed tomography imaging between July 2021 and February 2022. The impact of vaccination on ARDS in COVID-19 patients was assessed through logistic regression adjusting for demographic differences and confounding factors with statistical differences determined using confidence intervals and effect sizes. A total of 167 patients (69% male, average age 58 years, 95% CI [55; 60], 42% fully vaccinated) were included in the data analysis. Vaccinated COVID-19 patients had a reduced relative risk (RR) of developing ARDS (RR: 0.40, 95% CI [0.21; 0.62]). Consequently, non-vaccinated hospitalized patients had a 2.5-fold higher probability of developing ARDS. This risk reduction persisted after adjusting for several confounding variables (RR: 0.64, 95% CI [0.29; 0.94]) in multivariate analysis. The protective effect of COVID-19 vaccination increased with ARDS severity (RR: 0.61, 95% CI [0.37; 0.92]). Particularly, patients under 60 years old were at risk for ARDS onset and seemed to benefit from COVID-19 vaccination (RR: 0.51, 95% CI [0.20; 0.90]). COVID-19 vaccination showed to reduce the risk of ARDS occurrence in hospitalized COVID-19 patients, with a particularly strong effect in patients under 60 years old and those with more severe ARDS.
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Affiliation(s)
- Julian Madrid
- Department of Cardiology, Pneumology, Angiology, Acute Geriatrics and Intensive Care, Ortenau Klinikum, Klostenstraße 19, 77933, Lahr/Schwarzwald, Germany.
| | - Prerana Agarwal
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Katharina Müller-Peltzer
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Marvin Askani
- Department of Protestant Theology, Faculty of Theology, University of Heidelberg, Heidelberg, Germany
| | - Leo Benning
- University Emergency Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Mischa Selig
- G.E.R.N. Research Center for Tissue Replacement, Regeneration and Neogenesis, Department of Orthopedics and Trauma Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Philipp Diehl
- Department of Cardiology, Pneumology, Angiology, Acute Geriatrics and Intensive Care, Ortenau Klinikum, Klostenstraße 19, 77933, Lahr/Schwarzwald, Germany
| | - Johannes Kalbhenn
- Department of Anesthesiology and Intensive Care Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Georg Trummer
- Department of Cardiovascular Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefan Utzolino
- Department of General and Visceral Surgery, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Wengenmayer
- Interdisciplinary Medical Intensive Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Hans-Jörg Busch
- University Emergency Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Daiana Stolz
- Clinic of Respiratory Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Siegbert Rieg
- Division of Infectious Diseases, Department of Medicine II, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marcus Panning
- Institute of Virology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Esther Askani
- Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
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Cha MJ, Solomon JJ, Lee JE, Choi H, Chae KJ, Lee KS, Lynch DA. Chronic Lung Injury after COVID-19 Pneumonia: Clinical, Radiologic, and Histopathologic Perspectives. Radiology 2024; 310:e231643. [PMID: 38193836 PMCID: PMC10831480 DOI: 10.1148/radiol.231643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/06/2023] [Accepted: 09/26/2023] [Indexed: 01/10/2024]
Abstract
With the COVID-19 pandemic having lasted more than 3 years, concerns are growing about prolonged symptoms and respiratory complications in COVID-19 survivors, collectively termed post-COVID-19 condition (PCC). Up to 50% of patients have residual symptoms and physiologic impairment, particularly dyspnea and reduced diffusion capacity. Studies have also shown that 24%-54% of patients hospitalized during the 1st year of the pandemic exhibit radiologic abnormalities, such as ground-glass opacity, reticular opacity, bronchial dilatation, and air trapping, when imaged more than 1 year after infection. In patients with persistent respiratory symptoms but normal results at chest CT, dual-energy contrast-enhanced CT, xenon 129 MRI, and low-field-strength MRI were reported to show abnormal ventilation and/or perfusion, suggesting that some lung injury may not be detectable with standard CT. Histologic patterns in post-COVID-19 lung disease include fibrosis, organizing pneumonia, and vascular abnormality, indicating that different pathologic mechanisms may contribute to PCC. Therefore, a comprehensive imaging approach is necessary to evaluate and diagnose patients with persistent post-COVID-19 symptoms. This review will focus on the long-term findings of clinical and radiologic abnormalities and describe histopathologic perspectives. It also addresses advanced imaging techniques and deep learning approaches that can be applied to COVID-19 survivors. This field remains an active area of research, and further follow-up studies are warranted for a better understanding of the chronic stage of the disease and developing a multidisciplinary approach for patient management.
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Affiliation(s)
- Min Jae Cha
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - Joshua J. Solomon
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - Jong Eun Lee
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - Hyewon Choi
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - Kum Ju Chae
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - Kyung Soo Lee
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
| | - David A. Lynch
- From the Department of Radiology, Chung-Ang University Hospital,
Seoul, Korea (M.J.C., H.C.); Departments of Medicine (J.J.S.) and Radiology
(K.J.C., D.A.L.), National Jewish Health, 1400 Jackson St, Denver, CO 80206;
Department of Radiology, Chonnam National University Hospital, Gwangju, Republic
of Korea (J.E.L.); Department of Radiology, Research Institute of Clinical
Medicine of Jeonbuk National University, Biomedical Research Institute of
Jeonbuk National University Hospital, Jeonju, Republic of Korea (K.J.C); and
Department of Radiology, Sungkyunkwan University School of Medicine and Samsung
ChangWon Hospital, Gyeongsangnam, Republic of Korea (K.S.L.)
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7
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Tsuchiya N, Yonamine E, Iraha S, Takara M, Oshiro Y, Tetsuhiro M, Murayama S, Kinoshita R, Sato M, Nishikuramori Y, Takara H, Akamine T, Morita H, Matayoshi T, Chinen Y, Nishie A. Survey on chest CT findings in COVID-19 patients in Okinawa, Japan: differences between the delta and omicron variants. Sci Rep 2023; 13:20373. [PMID: 37990038 PMCID: PMC10663472 DOI: 10.1038/s41598-023-47756-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 11/17/2023] [Indexed: 11/23/2023] Open
Abstract
To investigate the frequency of pneumonia and chest computed tomography (CT) findings in patients with coronavirus disease 2019 (COVID-19) during the fifth Delta variant-predominant and sixth Omicron variant-predominant waves of the COVID-19 pandemic in Okinawa, Japan. A survey on chest CT examinations for patients with COVID-19 was conducted byhospitals with board-certified radiologists who provided treatment for COVID-19 pneumonia in Okinawa Prefecture. Data from 11 facilities were investigated. Indications for chest CT; number of COVID-19 patients undergoing chest CT; number of patients with late-onset pneumonia, tracheal intubation, and number of deaths; and COVID-19 Reporting and Data System classifications of initial chest CT scans were compared by the chi-squared test between the two pandemic waves (Delta vs. Omicron variants). A total of 1944 CT scans were performed during the fifth wave, and 1178 were performed during the sixth wave. CT implementation rates, which were the number of patients with COVID-19 undergoing CT examinations divided by the total number of COVID-19 cases in Okinawa Prefecture during the waves, were 7.1% for the fifth wave and 2.1% for the sixth wave. The rates of tracheal intubation and mortality were higher in the fifth wave. Differences between the distributions of the CO-RADS classifications were statistically significant for the fifth and sixth waves (p < 0.0001). In the fifth wave, CO-RADS 5 (typical of COVID-19) was most common (65%); in the sixth wave, CO-RADS 1 (no findings of pneumonia) was most common (50%). The finding of "typical for other infection but not COVID-19" was more frequent in the sixth than in the fifth wave (13.6% vs. 1.9%, respectively). The frequencies of pneumonia and typical CT findings were higher in the fifth Delta variant-predominant wave, and nontypical CT findings were more frequent in the sixth Omicron variant-predominant wave of the COVID-19 pandemic in Okinawa, Japan.
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Affiliation(s)
- Nanae Tsuchiya
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-Gun, Okinawa, 903-0215, Japan.
| | - Eri Yonamine
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-Gun, Okinawa, 903-0215, Japan
| | - Shoko Iraha
- Department of Radiology, Okinawa Kyodo Hospital, Okinawa, Japan
| | - Makoto Takara
- Department of Radiology, Heart Life Hospital, Okinawa, Japan
| | - Yasuji Oshiro
- Department of Radiology, National Hospital Organization, Okinawa National Hospital, Okinawa, Japan
| | - Miyara Tetsuhiro
- Department of Radiology, Urasoe General Hospital, Okinawa, Japan
| | | | - Ryo Kinoshita
- Department of Radiology, Okinawa Prefectural Nanbu Medical Center and Children's Medical Center, Okinawa, Japan
| | - Masaki Sato
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-Gun, Okinawa, 903-0215, Japan
| | | | - Hiroaki Takara
- Department of Radiology, Okinawa Chubu Hospital, Okinawa, Japan
| | - Tamaki Akamine
- Department of Radiology, Yuai Medical Center, Okinawa, Japan
| | - Hikaru Morita
- Department of Radiology, Ohama Daiichi Hospital, Okinawa, Japan
| | | | - Yuma Chinen
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-Gun, Okinawa, 903-0215, Japan
| | - Akihiro Nishie
- Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara-cho, Nakagami-Gun, Okinawa, 903-0215, Japan
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8
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Pingping Z, Yanyu Z, Xuri S, Qiming H, Yi W, Guoliang T. Comparison between original SARS-CoV-2 strain and omicron variant on thin-section chest CT imaging of COVID-19 pneumonia. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:55-63. [PMID: 37280418 PMCID: PMC10243278 DOI: 10.1007/s00117-023-01147-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/23/2023] [Indexed: 06/08/2023]
Abstract
OBJECTIVES We investigated different computed tomography (CT) features between Omicron-variant and original-strain SARS-CoV‑2 pneumonia to facilitate the clinical management. MATERIALS AND METHODS Medical records were retrospectively reviewed to select patients with original-strain SARS-CoV‑2 pneumonia from February 22 to April 22, 2020, or Omicron-variant SARS-CoV‑2 pneumonia from March 26 to May 31, 2022. Data on the demographics, comorbidities, symptoms, clinical types, and CT features were compared between the two groups. RESULTS There were 62 and 78 patients with original-strain or Omicron-variant SARS-CoV‑2 pneumonia, respectively. There were no differences between the two groups in terms of age, sex, clinical types, symptoms, and comorbidities. The main CT features differed between the two groups (p = 0.003). There were 37 (59.7%) and 20 (25.6%) patients with ground-glass opacities (GGO) in the original-strain and Omicron-variant pneumonia, respectively. A consolidation pattern was more frequently observed in the Omicron-variant than original-strain pneumonia (62.8% vs. 24.2%). There was no difference in crazy-paving pattern between the original-strain and Omicron-variant pneumonia (16.1% vs. 11.6%). Pleural effusion was observed more often in Omicron-variant pneumonia, while subpleural lesions were more common in the original-strain pneumonia. The CT score in the Omicron-variant group was higher than that in the original-strain group for critical-type (17.00, 16.00-18.00 vs. 16.00, 14.00-17.00, p = 0.031) and for severe-type (13.00, 12.00-14.00 vs 12.00, 10.75-13.00, p = 0.027) pneumonia. CONCLUSION The main CT finding of the Omicron-variant SARS-CoV‑2 pneumonia included consolidations and pleural effusion. By contrast, CT findings of original-strain SARS-CoV‑2 pneumonia showed frequent GGO and subpleural lesions, but without pleural effusion. The CT scores were also higher in the critical and severe types of Omicron-variant than original-strain pneumonia.
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Affiliation(s)
- Zeng Pingping
- Department ICU of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China
| | - Zhou Yanyu
- Department ICU of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China
| | - Sun Xuri
- Department ICU of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China
| | - Huang Qiming
- Department of Medical Imaging of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China
| | - Wang Yi
- Department of Medical Imaging of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China
| | - Tan Guoliang
- Department ICU of the Second Affiliated Hospital, Fujian Medical University, No. 34, Zhongshan North Road, Licheng District, Quanzhou City, Fujian, China.
- Wuhan Jinyintan Hospital, Wuhan City, China.
- The Fourth People's Hospital of Shanghai, Shanghai City, China.
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9
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Brogna B, Bignardi E, Megliola A, Laporta A, La Rocca A, Volpe M, Musto LA. A Pictorial Essay Describing the CT Imaging Features of COVID-19 Cases throughout the Pandemic with a Special Focus on Lung Manifestations and Extrapulmonary Vascular Abdominal Complications. Biomedicines 2023; 11:2113. [PMID: 37626610 PMCID: PMC10452395 DOI: 10.3390/biomedicines11082113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/27/2023] Open
Abstract
With the Omicron wave, SARS-CoV-2 infections improved, with less lung involvement and few cases of severe manifestations. In this pictorial review, there is a summary of the pathogenesis with particular focus on the interaction of the immune system and gut and lung axis in both pulmonary and extrapulmonary manifestations of COVID-19 and the computed tomography (CT) imaging features of COVID-19 pneumonia from the beginning of the pandemic, describing the typical features of COVID-19 pneumonia following the Delta variant and the atypical features appearing during the Omicron wave. There is also an outline of the typical features of COVID-19 pneumonia in cases of breakthrough infection, including secondary lung complications such as acute respiratory distress disease (ARDS), pneumomediastinum, pneumothorax, and lung pulmonary thromboembolism, which were more frequent during the first waves of the pandemic. Finally, there is a description of vascular extrapulmonary complications, including both ischemic and hemorrhagic abdominal complications.
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Affiliation(s)
- Barbara Brogna
- Department of Interventional and Emergency Radiology, San Giuseppe Moscati Hospital, 83100 Avellino, Italy; (A.L.); (A.L.R.); (L.A.M.)
| | - Elio Bignardi
- Department of Radiology, Francesco Ferrari Hospital, ASL Lecce, 73042 Casarano, Italy;
| | - Antonia Megliola
- Radiology Unit, “Frangipane” Hospital, ASL Avellino, 83031 Ariano Irpino, Italy; (A.M.); (M.V.)
| | - Antonietta Laporta
- Department of Interventional and Emergency Radiology, San Giuseppe Moscati Hospital, 83100 Avellino, Italy; (A.L.); (A.L.R.); (L.A.M.)
| | - Andrea La Rocca
- Department of Interventional and Emergency Radiology, San Giuseppe Moscati Hospital, 83100 Avellino, Italy; (A.L.); (A.L.R.); (L.A.M.)
| | - Mena Volpe
- Radiology Unit, “Frangipane” Hospital, ASL Avellino, 83031 Ariano Irpino, Italy; (A.M.); (M.V.)
| | - Lanfranco Aquilino Musto
- Department of Interventional and Emergency Radiology, San Giuseppe Moscati Hospital, 83100 Avellino, Italy; (A.L.); (A.L.R.); (L.A.M.)
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10
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Xu J, Cao Z, Miao C, Zhang M, Xu X. Predicting omicron pneumonia severity and outcome: a single-center study in Hangzhou, China. Front Med (Lausanne) 2023; 10:1192376. [PMID: 37305146 PMCID: PMC10250627 DOI: 10.3389/fmed.2023.1192376] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 05/08/2023] [Indexed: 06/13/2023] Open
Abstract
Background In December 2022, there was a large Omicron epidemic in Hangzhou, China. Many people were diagnosed with Omicron pneumonia with variable symptom severity and outcome. Computed tomography (CT) imaging has been proven to be an important tool for COVID-19 pneumonia screening and quantification. We hypothesized that CT-based machine learning algorithms can predict disease severity and outcome in Omicron pneumonia, and we compared its performance with the pneumonia severity index (PSI)-related clinical and biological features. Methods Our study included 238 patients with the Omicron variant who have been admitted to our hospital in China from 15 December 2022 to 16 January 2023 (the first wave after the dynamic zero-COVID strategy stopped). All patients had a positive real-time polymerase chain reaction (PCR) or lateral flow antigen test for SARS-CoV-2 after vaccination and no previous SARS-CoV-2 infections. We recorded patient baseline information pertaining to demographics, comorbid conditions, vital signs, and available laboratory data. All CT images were processed with a commercial artificial intelligence (AI) algorithm to obtain the volume and percentage of consolidation and infiltration related to Omicron pneumonia. The support vector machine (SVM) model was used to predict the disease severity and outcome. Results The receiver operating characteristic (ROC) area under the curve (AUC) of the machine learning classifier using PSI-related features was 0.85 (accuracy = 87.40%, p < 0.001) for predicting severity while that using CT-based features was only 0.70 (accuracy = 76.47%, p = 0.014). If combined, the AUC was not increased, showing 0.84 (accuracy = 84.03%, p < 0.001). Trained on outcome prediction, the classifier reached the AUC of 0.85 using PSI-related features (accuracy = 85.29%, p < 0.001), which was higher than using CT-based features (AUC = 0.67, accuracy = 75.21%, p < 0.001). If combined, the integrated model showed a slightly higher AUC of 0.86 (accuracy = 86.13%, p < 0.001). Oxygen saturation, IL-6, and CT infiltration showed great importance in both predicting severity and outcome. Conclusion Our study provided a comprehensive analysis and comparison between baseline chest CT and clinical assessment in disease severity and outcome prediction in Omicron pneumonia. The predictive model accurately predicts the severity and outcome of Omicron infection. Oxygen saturation, IL-6, and infiltration in chest CT were found to be important biomarkers. This approach has the potential to provide frontline physicians with an objective tool to manage Omicron patients more effectively in time-sensitive, stressful, and potentially resource-constrained environments.
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Affiliation(s)
- Jingjing Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhengye Cao
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chunqin Miao
- Party and Hospital Administration Office, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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11
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Huang H, Zheng J, Liu Y, Zhou Q, Peng D. Effect of vitamin D status on adult COVID-19 pneumonia induced by Delta variant: A longitudinal, real-world cohort study. Front Med (Lausanne) 2023; 10:1121256. [PMID: 37035323 PMCID: PMC10080157 DOI: 10.3389/fmed.2023.1121256] [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: 12/11/2022] [Accepted: 03/06/2023] [Indexed: 04/11/2023] Open
Abstract
Objective The effect of vitamin D status on adult COVID-19 pneumonia induced by Delta variant remains to be further explored. Methods A longitudinal, real-world cohort study was performed. Artificial intelligence (AI) was used to identify and measure pneumonia lesions. All cases with pneumonia were divided into the vitamin D deficiency (VDD) and control groups according to serum 25-hydroxyvitamin D concentration. Lesion dynamics were observed within six time periods after the onset of pneumonia. Results A total of 161 cases were included, of which 101 (63%) were male and 46 (29%) presented with pneumonia. The median age and baseline 25-hydroxyvitamin D concentrations were 37 years and 21 ng/ml, respectively. Age, fibrinogen, and SARS-CoV-2 IgG titer on admission were independent predictors for the onset of pneumonia. After the onset of pneumonia, patients in the VDD group (n = 18) had higher percentage of fever (33 vs. 7.1%; p = 0.04) than those in the control group (n = 28); the interval of pneumonia resolution was longer (28 vs. 21 days; p = 0.02); lesions progressed more rapidly (p = 0.01) within 3 to 7 days and improved more slowly (p = 0.007) within more than 28 days; notably, simultaneous interleukin-6 (18.7 vs. 14.6 pg/ml; p = 0.04) levels were higher, and cycle thresholds for N gene (22.8 vs. 31.3; p = 0.04) and ORF1ab gene (20.9 vs. 28.7; p = 0.03) were lower within 3 to 7 days. Conclusion Vitamin D status may have effects on the progression and resolution, but not the onset of Delta variant-induced pneumonia in adults. Computed tomography image diagnosis system based on AI may have promising applications in the surveillance and diagnosis of novel SARS-CoV-2 variant-induced pneumonia.
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Affiliation(s)
- Hua Huang
- Department of Radiology, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Jiawei Zheng
- Department of Emergency Medicine, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Yan Liu
- Department of Emergency Medicine, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Qunhe Zhou
- Department of General Practice, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Denggao Peng
- Department of Emergency Medicine, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Denggao Peng,
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