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Clinical Features and Short-term Outcomes of 144 Patients With SARS in the Greater Toronto Area
Abstract
CONTEXT: Severe acute respiratory syndrome (SARS) is an emerging infectious disease that first manifested in humans in China in November 2002 and has subsequently spread worldwide. OBJECTIVES: To describe the clinical characteristics and short-term outcomes of SARS in the first large group of patients in North America; to describe how these patients were treated and the variables associated with poor outcome. DESIGN, SETTING, AND PATIENTS: Retrospective case series involving 144 adult patients admitted to 10 academic and community hospitals in the greater Toronto, Ontario, area between March 7 and April 10, 2003, with a diagnosis of suspected or probable SARS. Patients were included if they had fever, a known exposure to SARS, and respiratory symptoms or infiltrates observed on chest radiograph. Patients were excluded if an alternative diagnosis was determined. MAIN OUTCOME MEASURES: Location of exposure to SARS; features of the history, physical examination, and laboratory tests at admission to the hospital; and 21-day outcomes such as death or intensive care unit (ICU) admission with or without mechanical ventilation. RESULTS: Of the 144 patients, 111 (77%) were exposed to SARS in the hospital setting. Features of the clinical examination most commonly found in these patients at admission were self-reported fever (99%), documented elevated temperature (85%), nonproductive cough (69%), myalgia (49%), and dyspnea (42%). Common laboratory features included elevated lactate dehydrogenase (87%), hypocalcemia (60%), and lymphopenia (54%). Only 2% of patients had rhinorrhea. A total of 126 patients (88%) were treated with ribavirin, although its use was associated with significant toxicity, including hemolysis (in 76%) and decrease in hemoglobin of 2 g/dL (in 49%). Twenty-nine patients (20%) were admitted to the ICU with or without mechanical ventilation, and 8 patients died (21-day mortality, 6.5%; 95% confidence interval [CI], 1.9%-11.8%). Multivariable analysis showed that the presence of diabetes (relative risk [RR], 3.1; 95% CI, 1.4-7.2; P =.01) or other comorbid conditions (RR, 2.5; 95% CI, 1.1-5.8; P =.03) were independently associated with poor outcome (death, ICU admission, or mechanical ventilation). CONCLUSIONS: The majority of cases in the SARS outbreak in the greater Toronto area were related to hospital exposure. In the event that contact history becomes unreliable, several features of the clinical presentation will be useful in raising the suspicion of SARS. Although SARS is associated with significant morbidity and mortality, especially in patients with diabetes or other comorbid conditions, the vast majority (93.5%) of patients in our cohort survived.
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Cites
Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885 · cited 2×
“Alanine aminotransferase, U/L 29 (19-49) 30 (21-67) .”
Holmes, K. V. (2003) · New England Journal of Medicine · doi:10.1056/nejmp030078 · Cited by 330
Cited by
Comorbidity and its impact on 1590 patients with covid-19 in China: a nationwide analysis
Guan, W.-J., Liang, W.-H., Zhao, Y., Liang, H.-R., Chen, Z.-S., Li, Y.-M., Liu, X.-Q., Chen, R.-C., Tang, C.-L., Wang, T., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.00547-2020 · Cited by 3,680
SARS and MERS: recent insights into emerging coronaviruses
de Wit, E., van Doremalen, N., Falzarano, D., & Munster, V. J. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.81 · Cited by 3,510
COVID-19 and cardiovascular disease
Clerkin, K. J., Fried, J. A., Raikhelkar, J., Sayer, G., Griffin, J. M., Masoumi, A., Jain, S. S., Burkhoff, D., Kumaraiah, D., Rabbani, L., et al. (2020) · Circulation · doi:10.1161/circulationaha.120.046941 · Cited by 1,738
Assiri, A., Al-Tawfiq, J. A., Al-Rabeeah, A. A., Al-Rabiah, F. A., Al-Hajjar, S., Al-Barrak, A., Flemban, H., Al-Nassir, W. N., Balkhy, H. H., Al-Hakeem, R. F., et al. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70204-4 · Cited by 1,435
Multiple organ infection and the pathogenesis of SARS
Gu, J., Gong, E., Zhang, B., Zheng, J., Gao, Z., Zhong, Y., Zou, W., Zhan, J., Wang, S., Xie, Z., et al. (2005) · The Journal of Experimental Medicine · doi:10.1084/jem.20050828 · Cited by 1,379
Coronavirus Pathogenesis and the Emerging Pathogen Severe Acute Respiratory Syndrome Coronavirus
Weiss, S. R., & Navas-Martin, S. (2005) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.69.4.635-664.2005 · Cited by 1,256
The pivotal link between ACE2 deficiency and SARS-CoV-2 infection
Verdecchia, P., Cavallini, C., Spanevello, A., & Angeli, F. (2020) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2020.04.037 · Cited by 1,237
“[57, 58] In a study conducted in 201 patients infected with SARS-CoV-2, most patients were men (63.7% of patients), the mean age was 51 years and the most frequent comorbidities were hypertension (19.4%), diabetes (10.9%) and history of cardiovascular disease (4.0).”
InfluentialSARS: systematic review of treatment effects
Stockman, L. J., Bellamy, R., & Garner, P. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030343 · Cited by 1,217
Severe acute respiratory syndrome coronavirus as an agent of emerging and reemerging infection
Cheng, V. C. C., Lau, S. K. P., Woo, P. C. Y., & Yuen, K. Y. (2007) · Clinical Microbiology Reviews · doi:10.1128/cmr.00023-07 · Cited by 1,192
Why does COVID-19 disproportionately affect older people?
Mueller, A. L., McNamara, M. S., & Sinclair, D. A. (2020) · Aging · doi:10.18632/aging.103344 · Cited by 1,128
Respiratory disease in rhesus macaques inoculated with SARS-CoV-2
Munster, V. J., Feldmann, F., Williamson, B. N., van Doremalen, N., Pérez-Pérez, L., Schulz, J., Meade-White, K., Okumura, A., Callison, J., Brumbaugh, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2324-7 · Cited by 720
Network theory and SARS: predicting outbreak diversity
Meyers, L. A., Pourbohloul, B., Newman, M. E. J., Skowronski, D. M., & Brunham, R. C. (2005) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.07.026 · Cited by 705
Understanding the symptoms of the common cold and influenza
Eccles, R. (2005) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(05)70270-x · Cited by 650
Moldofsky, H., & Patcai, J. (2011) · BMC Neurology · doi:10.1186/1471-2377-11-37 · Cited by 604
“In North America, Toronto experienced the bulk of cases that largely affected health care workers [1].”
BackgroundClinical characteristics and outcomes of patients with severe COVID-19 with diabetes
Yan, Y., Yang, Y., Wang, F., Ren, H., Zhang, S., Shi, X., Yu, X., & Dong, K. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001343 · Cited by 572
Description and Proposed Management of the Acute COVID-19 Cardiovascular Syndrome
Hendren, N. S., Drazner, M. H., Bozkurt, B., & Cooper, L. T. (2020) · Circulation · doi:10.1161/circulationaha.120.047349 · Cited by 576
SU, T., LIEN, T., YANG, C., SU, Y., WANG, J., TSAI, S., & YIN, J. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2005.12.006 · Cited by 477
Psychological effects of the SARS outbreak in Hong Kong on high-risk health care workers
Chua, S. E., Cheung, V., Cheung, C., McAlonan, G. M., Wong, J. W., Cheung, E. P., Chan, M. T., Wong, M. M., Tang, S. W., Choy, K. M., et al. (2004) · The Canadian Journal of Psychiatry · doi:10.1177/070674370404900609 · Cited by 462
Bolles, M., Deming, D., Long, K., Agnihothram, S., Whitmore, A., Ferris, M., Funkhouser, W., Gralinski, L., Totura, A., Heise, M., et al. (2011) · Journal of Virology · doi:10.1128/jvi.06048-11 · Cited by 477
Coronavirus infections and type 2 diabetes-shared pathways with therapeutic implications
Drucker, D. J. (2020) · Endocrine Reviews · doi:10.1210/endrev/bnaa011 · Cited by 399
Age- and gender-related difference of ACE2 expression in rat lung
Xudong, X., Junzhu, C., Xingxiang, W., Furong, Z., & Yanrong, L. (2006) · Life Sciences · doi:10.1016/j.lfs.2005.09.038 · Cited by 410
Human immunopathogenesis of severe acute respiratory syndrome (SARS)
Cameron, M. J., Bermejo-Martin, J. F., Danesh, A., Muller, M. P., & Kelvin, D. J. (2008) · Virus Research · doi:10.1016/j.virusres.2007.02.014 · Cited by 391
Singer, M. C., Erickson, P. I., Badiane, L., Diaz, R., Ortiz, D., Abraham, T., & Nicolaysen, A. M. (2006) · Social Science & Medicine · doi:10.1016/j.socscimed.2006.05.012 · Cited by 371
“Similarly, several health reports note that diabetes is present in as many as 37% of those who are critically ill with severe acute respiratory syndrome (SARS) (Booth et al., 2003; Fowler et al., 2003).”
Ho, F. K., Petermann-Rocha, F., Gray, S. R., Jani, B. D., Katikireddi, S. V., Niedzwiedz, C. L., Foster, H., Hastie, C. E., Mackay, D. F., Gill, J. M. R., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0241824 · Cited by 319
SARS among Critical Care Nurses, Toronto
Loeb, M., McGeer, A., Henry, B., Ofner, M., Rose, D., Hlywka, T., Levie, J., McQueen, J., Smith, S., Moss, L., et al. (2004) · Emerging Infectious Diseases · doi:10.3201/eid1002.030838 · Cited by 345
Pulmonary pathology of severe acute respiratory syndrome in Toronto
Hwang, D. M., Chamberlain, D. W., Poutanen, S. M., Low, D. E., Asa, S. L., & Butany, J. (2005) · Modern Pathology · doi:10.1038/modpathol.3800247 · Cited by 332
High-throughput screening and identification of potent broad-spectrum inhibitors of coronaviruses.
Shen, L., Niu, J., Wang, C., Huang, B., Wang, W., Zhu, N., Deng, Y., Wang, H., Ye, F., Cen, S., et al. (2019) · Journal of Virology · doi:10.1128/jvi.00023-19 · Cited by 319
Impact on health care workers employed in high-risk areas during the Toronto SARS outbreak
Styra, R., Hawryluck, L., Robinson, S., Kasapinovic, S., Fones, C., & Gold, W. L. (2008) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2007.07.015 · Cited by 280
Methods for estimating the case fatality ratio for a novel, emerging infectious disease
Ghani, A. C., Donnelly, C. A., Cox, D. R., Griffin, J. T., Fraser, C., Lam, T. H., Ho, L. M., Chan, W. S., Anderson, R. M., Hedley, A. J., et al. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi230 · Cited by 252
Lau, A. L. D., Chi, I., Cummins, R. A., Lee, T. M. C., Chou, K.-L., & Chung, L. W. M. (2008) · Aging & Mental Health · doi:10.1080/13607860802380607 · Cited by 217
Systematic Review of COVID-19 Related Myocarditis: Insights on Management and Outcome
Sawalha, K., Abozenah, M., Kadado, A. J., Battisha, A., Al-Akchar, M., Salerno, C., Hernandez-Montfort, J., & Islam, A. M. (2021) · Cardiovascular Revascularization Medicine · doi:10.1016/j.carrev.2020.08.028 · Cited by 217
Nucleoside analogues for the treatment of coronavirus infections
Pruijssers, A. J., & Denison, M. R. (2019) · Current Opinion in Virology · doi:10.1016/j.coviro.2019.04.002 · Cited by 196
Acute respiratory distress syndrome and pneumonia: a comprehensive review of clinical data
Bauer, T. T., Ewig, S., Rodloff, A. C., & Muller, E. E. (2006) · Clinical Infectious Diseases · doi:10.1086/506430 · Cited by 151
Intubation of SARS patients: infection and perspectives of healthcare workers
Caputo, K. M., Byrick, R., Chapman, M. G., Orser, B. J., & Orser, B. A. (2006) · Canadian Journal of Anesthesia/Journal canadien d'anesthésie · doi:10.1007/bf03021815 · Cited by 110
Aviv, A. (2020) · The FASEB Journal · doi:10.1096/fj.202001025 · Cited by 73
Aggarwal, G., Lippi, G., Lavie, C. J., Henry, B. M., & Sanchis‐Gomar, F. (2020) · Journal of Diabetes · doi:10.1111/1753-0407.13091 · Cited by 78
SARS: coping with the impact at a community hospital
Tolomiczenko, G. S., Kahan, M., Ricci, M., Strathern, L., Jeney, C., Patterson, K., & Wilson, L. (2005) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2005.03366.x · Cited by 40
Ahmed-Hassan, H., Sisson, B., Shukla, R. K., Wijewantha, Y., Funderburg, N. T., Li, Z., Hayes, D., Demberg, T., & Liyanage, N. P. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01979 · Cited by 47
Lai, A., Chang, M. L., O'Donnell, R. P., Zhou, C., Sumner, J. A., & Hsiai, T. K. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.146464 · Cited by 25
Morgenstern, C., Rawson, T., Routledge, I., Kont, M., Imai-Eaton, N., Skarp, J., Doohan, P., McCain, K., Johnson, R., Unwin, H. J. T., et al. (2025) · The Lancet Microbe · doi:10.1016/j.lanmic.2025.101144 · Cited by 6
Metadata
- Authors
- Booth, C. M.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2003-06-04
- Volume
- 289
- Issue
- 21
- Pages
- 2801
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2163627712
- Cited by
- 1,406
- References
- 2
- FWCI
- 93.57
- Type
- journal article
- Language
- en
- Open access
- closed
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