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Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()

STUDY OBJECTIVE: Since the World Health Organization issued a global alert about severe acute respiratory syndrome (SARS) on March 12, 2003, the illness has become a major public health challenge worldwide. The objective of this study is to identify the clinical risk factors of SARS and to develop a...

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Autores principales: Chen, Shey-Ying, Su, Chan-Ping, Ma, Matthew Huei-Ming, Chiang, Wen-Chu, Hsu, Chiung-Yuan, Ko, Patrick Chow-In, Tsai, Kuang-Chau, Yen, Zui-Shen, Shih, Fuh-Yuan, Chen, Shyr-Chyr, Chen, Wen-Jone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American College of Emergency Physicians. Published by Mosby, Inc. 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124324/
https://www.ncbi.nlm.nih.gov/pubmed/14707932
http://dx.doi.org/10.1016/S0196-0644(03)00817-5
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author Chen, Shey-Ying
Su, Chan-Ping
Ma, Matthew Huei-Ming
Chiang, Wen-Chu
Hsu, Chiung-Yuan
Ko, Patrick Chow-In
Tsai, Kuang-Chau
Yen, Zui-Shen
Shih, Fuh-Yuan
Chen, Shyr-Chyr
Chen, Wen-Jone
author_facet Chen, Shey-Ying
Su, Chan-Ping
Ma, Matthew Huei-Ming
Chiang, Wen-Chu
Hsu, Chiung-Yuan
Ko, Patrick Chow-In
Tsai, Kuang-Chau
Yen, Zui-Shen
Shih, Fuh-Yuan
Chen, Shyr-Chyr
Chen, Wen-Jone
author_sort Chen, Shey-Ying
collection PubMed
description STUDY OBJECTIVE: Since the World Health Organization issued a global alert about severe acute respiratory syndrome (SARS) on March 12, 2003, the illness has become a major public health challenge worldwide. The objective of this study is to identify the clinical risk factors of SARS and to develop a scoring system for early diagnosis. METHODS: The detailed clinical data of all patients presenting to the emergency department (ED) with a temperature higher than 38.0°C (100.3°F), documented at home or at the ED, and risks of exposure to SARS within 14 days were assessed. The diagnosis of probable SARS was made according to the definition of the Centers for Disease Control and Prevention. Items with significant differences among symptoms, signs, and laboratory tests on presentation between SARS and non-SARS groups were determined and used to develop the scoring system. RESULTS: Seventy patients were enrolled and 8 were diagnosed as probably having SARS. None of the initially discharged patients or their relatives developed SARS. Compared with the non-SARS group, the SARS group was younger (33.9±15.9 years versus 44±9.8 years; P=.02), had a higher percentage of fever prolonged more than 5 days (87.5% versus 6.5%; P<.01), myalgia (75% versus 27.4%; P=.01), and diarrhea (50% versus 9.7%; P=.02); had less occurrence of cough before or during fever (0% versus 64.5%; P=.01); and had lower absolute lymphocyte (0.9±0.3×10(9)/L versus 1.5±1.1×10(9)/L; P<.01) and platelet counts (144.1±36.3×10(9)/L versus 211.6±78.8×10(9)/L; P=.02). A 4-item symptom score based on the presence of cough before or concomitant with fever, myalgia, diarrhea, and rhinorrhea or sore throat detects SARS with 100% sensitivity and 75.9% specificity; a 6-item clinical score based on lymphopenia (<1.0×10(9)/L), thrombocytopenia (<150×10(9)/L) and the 4 symptom items detects SARS with 100% sensitivity and 86.3% specificity. CONCLUSION: Certain symptoms and laboratory tests indicate higher risk of febrile probable SARS. In nonendemic areas, the febrile patients with recent contact with SARS or travel history to endemic areas could be screened for the probability of SARS by the use of clinical and symptom scores.
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spelling pubmed-71243242020-04-08 Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk() Chen, Shey-Ying Su, Chan-Ping Ma, Matthew Huei-Ming Chiang, Wen-Chu Hsu, Chiung-Yuan Ko, Patrick Chow-In Tsai, Kuang-Chau Yen, Zui-Shen Shih, Fuh-Yuan Chen, Shyr-Chyr Chen, Wen-Jone Ann Emerg Med Article STUDY OBJECTIVE: Since the World Health Organization issued a global alert about severe acute respiratory syndrome (SARS) on March 12, 2003, the illness has become a major public health challenge worldwide. The objective of this study is to identify the clinical risk factors of SARS and to develop a scoring system for early diagnosis. METHODS: The detailed clinical data of all patients presenting to the emergency department (ED) with a temperature higher than 38.0°C (100.3°F), documented at home or at the ED, and risks of exposure to SARS within 14 days were assessed. The diagnosis of probable SARS was made according to the definition of the Centers for Disease Control and Prevention. Items with significant differences among symptoms, signs, and laboratory tests on presentation between SARS and non-SARS groups were determined and used to develop the scoring system. RESULTS: Seventy patients were enrolled and 8 were diagnosed as probably having SARS. None of the initially discharged patients or their relatives developed SARS. Compared with the non-SARS group, the SARS group was younger (33.9±15.9 years versus 44±9.8 years; P=.02), had a higher percentage of fever prolonged more than 5 days (87.5% versus 6.5%; P<.01), myalgia (75% versus 27.4%; P=.01), and diarrhea (50% versus 9.7%; P=.02); had less occurrence of cough before or during fever (0% versus 64.5%; P=.01); and had lower absolute lymphocyte (0.9±0.3×10(9)/L versus 1.5±1.1×10(9)/L; P<.01) and platelet counts (144.1±36.3×10(9)/L versus 211.6±78.8×10(9)/L; P=.02). A 4-item symptom score based on the presence of cough before or concomitant with fever, myalgia, diarrhea, and rhinorrhea or sore throat detects SARS with 100% sensitivity and 75.9% specificity; a 6-item clinical score based on lymphopenia (<1.0×10(9)/L), thrombocytopenia (<150×10(9)/L) and the 4 symptom items detects SARS with 100% sensitivity and 86.3% specificity. CONCLUSION: Certain symptoms and laboratory tests indicate higher risk of febrile probable SARS. In nonendemic areas, the febrile patients with recent contact with SARS or travel history to endemic areas could be screened for the probability of SARS by the use of clinical and symptom scores. American College of Emergency Physicians. Published by Mosby, Inc. 2004-01 2003-12-29 /pmc/articles/PMC7124324/ /pubmed/14707932 http://dx.doi.org/10.1016/S0196-0644(03)00817-5 Text en © 2004 American College of Emergency Physicians Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chen, Shey-Ying
Su, Chan-Ping
Ma, Matthew Huei-Ming
Chiang, Wen-Chu
Hsu, Chiung-Yuan
Ko, Patrick Chow-In
Tsai, Kuang-Chau
Yen, Zui-Shen
Shih, Fuh-Yuan
Chen, Shyr-Chyr
Chen, Wen-Jone
Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title_full Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title_fullStr Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title_full_unstemmed Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title_short Predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
title_sort predictive model of diagnosing probable cases of severe acute respiratory syndrome in febrile patients with exposure risk()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7124324/
https://www.ncbi.nlm.nih.gov/pubmed/14707932
http://dx.doi.org/10.1016/S0196-0644(03)00817-5
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