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Franklin A, John TM, Khawaja F, Jiang Y, Yepez E, Ahuja J, Faiz SA, Bashoura L, Sheshadri A, Shannon VR, Balachandran DD, McConn K, Mulanovich VE, Bhatti M, Chemaly RF. Utility of Bronchoalveolar Lavage for the Diagnosis and Management of COVID-19 in Patients With Cancer. J Infect Dis 2023; 228:1549-1558. [PMID: 37983000 DOI: 10.1093/infdis/jiad272] [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: 02/21/2023] [Accepted: 07/14/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) on nasopharyngeal swab (NPS), remains the most reliable and practical test to diagnose coronavirus disease 2019 (COVID-19). Current literature is sparse regarding the rates of discordance between NPS and bronchoalveolar lavage (BAL) in patients with cancer. METHODS We conducted a retrospective cohort study of adult patients with cancer who had BAL samples tested for SARS-CoV-2 at a comprehensive cancer center. Patients without NPS PCR for SARS-CoV-2 before BAL were excluded. RESULTS In a cohort of 345 patients, 12% and 17% tested positive for SARS-CoV-2 on NPS and BAL, respectively. There was a 6.3% NPS-/BAL+ discordance rate and a 9.5% NPS+/BAL- discordance rate. Patients with lymphoma (adjusted odds ratio [aOR] = 4.06; P = .007) and Hispanic patients (aOR = 3.76; P = .009) were more likely to have NPS-/BAL+ discordance on multivariate analysis. Among patients with NPS- /BAL- for SARS-CoV-2, an alternate infectious (23%) and a noninfectious etiology (16%) were identified in BAL. CONCLUSIONS Our discordance rates between NPS and BAL were sufficient to recommend BAL in certain patients with cancer with a high clinical suspicion of COVID-19. BAL has value in identifying alternative etiologies of illness in patients with suspected or confirmed COVID-19.
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Affiliation(s)
- Alexander Franklin
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Teny M John
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Fareed Khawaja
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ying Jiang
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Eduardo Yepez
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jitesh Ahuja
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Saadia A Faiz
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lara Bashoura
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ajay Sheshadri
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Vickie R Shannon
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Diwakar D Balachandran
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kelly McConn
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Victor E Mulanovich
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Micah Bhatti
- Department of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Roy F Chemaly
- Department of Infectious Diseases, Infection Control and Employee Heath, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Li F, Deng J, Xie C, Wang G, Xu M, Wu C, Li J, Zhong Y. The differences in virus shedding time between the Delta variant and original SARS-CoV-2 infected patients. Front Public Health 2023; 11:1132643. [PMID: 37559731 PMCID: PMC10408444 DOI: 10.3389/fpubh.2023.1132643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 07/06/2023] [Indexed: 08/11/2023] Open
Abstract
Background The worldwide epidemic of Coronavirus Disease 2019 (COVID-19) has evolved into multiple variants. The Delta variant is known for its ability to spread and replicate, while data are limited about the virus shedding time in patients infected by the Delta variant. Methods 56 Delta variant and 56 original SARS-CoV-2 infected patients from Hunan, China, matched according to age and gender divided into two groups and compared the baseline characteristics and laboratory findings with appropriate statistical methods. Results Patients infected with the Delta variant had significantly fewer symptoms of fever (p < 0.001), fatigue (p = 0.004), anorexia (p < 0.001), shortness of breath (p = 0.004), diarrhea (p = 0.006), positive pneumonia rate of chest CT (p = 0.019) and chest CT ground glass opacities (p = 0.004) than those of patients with the original SARS-CoV-2. Patients of the Delta variant group had a significantly longer virus shedding time [41.5 (31.5, 46.75) vs. 18.5 (13, 25.75), p < 0.001] compared with the original SARS-CoV-2 group. The correlation analyses between the virus shedding time and clinical or laboratory parameters showed that the virus shedding time was positively related to the viral strain, serum creatinine and creatine kinase isoenzyme, while negatively correlated with lymphocyte count, total bilirubin and low-density lipoprotein. Finally, the viral strain and lymphocyte count were thought of as the independent risk factors of the virus shedding time demonstrated by multiple linear regression. Conclusion COVID-19 patients infected with the Delta variant exhibited fewer gastrointestinal symptoms and prolonged virus shedding time than those infected with the original SARS-CoV-2. Delta variant and fewer lymphocyte were correlated with prolonged virus shedding time.
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Affiliation(s)
- Fanglin Li
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jiayi Deng
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Canbin Xie
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Guyi Wang
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Min Xu
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chenfang Wu
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinxiu Li
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yanjun Zhong
- Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
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Kim MH, Ryu UH, Heo SJ, Kim YC, Park YS. Potential Role of an Adjunctive Real Time Locating System in Preventing Secondary Transmission of SARS-CoV-2 in a Hospital Environment: A Retrospective Case-control Study (Preprint). J Med Internet Res 2022; 24:e41395. [PMID: 36197844 PMCID: PMC9580994 DOI: 10.2196/41395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/09/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Min Hyung Kim
- Division of Infectious Diseases, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Un Hyoung Ryu
- Division of Planning and Management, Office of Medical Information Technology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Seok-Jae Heo
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Chan Kim
- Division of Infectious Diseases, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
| | - Yoon Soo Park
- Division of Infectious Diseases, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea
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