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img  22:  Middle East respiratory syndrome coronavirus: a case-control study of hospitalized patients.
 
著者: Jaffar A Al-Tawfiq, Kareem Hinedi, Jihad Ghandour, Hanan Khairalla, Samir Musleh, Alaa Ujayli, Ziad A Memish
雑誌名: Clin Infect Dis. 2014 Jul 15;59(2):160-5. doi: 10.1093/cid/ciu226. Epub 2014 Apr 9.
Abstract/Text BACKGROUND: There is a paucity of data regarding the differentiating characteristics of patients with laboratory-confirmed and those negative for Middle East respiratory syndrome coronavirus (MERS-CoV).
METHODS: This is a hospital-based case-control study comparing MERS-CoV-positive patients (cases) with MERS-CoV-negative controls.
RESULTS: A total of 17 case patients and 82 controls with a mean age of 60.7 years and 57 years, respectively (P = .553), were included. No statistical differences were observed in relation to sex, the presence of a fever or cough, and the presence of a single or multilobar infiltrate on chest radiography. The case patients were more likely to be overweight than the control group (mean body mass index, 32 vs 27.8; P = .035), to have diabetes mellitus (87% vs 47%; odds ratio [OR], 7.24; P = .015), and to have end-stage renal disease (33% vs 7%; OR, 7; P = .012). At the time of admission, tachypnea (27% vs 60%; OR, 0.24; P = .031) and respiratory distress (15% vs 51%; OR, 0.15; P = .012) were less frequent among case patients. MERS-CoV patients were more likely to have a normal white blood cell count than the control group (82% vs 52%; OR, 4.33; P = .029). Admission chest radiography with interstitial infiltrates was more frequent in case patients than in controls (67% vs 20%; OR, 8.13; P = .001). Case patients were more likely to be admitted to the intensive care unit (53% vs 20%; OR, 4.65; P = .025) and to have a high mortality rate (76% vs 15%; OR, 18.96; P < .001).
CONCLUSIONS: Few clinical predictors could enhance the ability to predict which patients with pneumonia would have MERS-CoV. However, further prospective analysis and matched case-control studies may shed light on other predictors of infection.

© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
PMID 24723278  Clin Infect Dis. 2014 Jul 15;59(2):160-5. doi: 10.1093/cid/ciu226. Epub 2014 Apr 9.
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