2018
DOI: 10.1016/j.ijid.2018.03.005
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Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia

Abstract: This study provides a simple, practical, and valid algorithm to identify pneumonia patients at increased risk of MERS-CoV infection. This risk prediction model could be useful for the early identification of patients at the highest risk of MERS-CoV infection. Further validation of the prediction model on a large prospective cohort of representative patients with pneumonia is necessary.

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Cited by 14 publications
(19 citation statements)
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“…Countries face significant challenges in the early identification and diagnosis of MERS in humans due to the non-specificity of clinical symptoms ( The spectrum of illness ranges from no symptoms (or asymptomatic infection) to severe disease including pneumonia, acute respiratory disease syndrome, organ failure and death, with a case fatality ratio 35.5% among reported cases (World Health Organization, 2012). The delay in identification and recognition of signs and symptoms compatible with MERS and delay in early isolation of patients has reduced the ability to prevent transmission between people in health care settings, notably in emergency departments, cardiac care centers and renal dialysis units (Hijawi et al, 2013;Assiri et al, 2013;Drosten et al, 2015;Al Hosani et al, 2016;Ki, 2015;Park et al, 2015;Ahmed et al, 2018;Amer et al, 2018).…”
Section: Research Needs: Hospital Transmission and Infection Prevmentioning
confidence: 99%
“…Countries face significant challenges in the early identification and diagnosis of MERS in humans due to the non-specificity of clinical symptoms ( The spectrum of illness ranges from no symptoms (or asymptomatic infection) to severe disease including pneumonia, acute respiratory disease syndrome, organ failure and death, with a case fatality ratio 35.5% among reported cases (World Health Organization, 2012). The delay in identification and recognition of signs and symptoms compatible with MERS and delay in early isolation of patients has reduced the ability to prevent transmission between people in health care settings, notably in emergency departments, cardiac care centers and renal dialysis units (Hijawi et al, 2013;Assiri et al, 2013;Drosten et al, 2015;Al Hosani et al, 2016;Ki, 2015;Park et al, 2015;Ahmed et al, 2018;Amer et al, 2018).…”
Section: Research Needs: Hospital Transmission and Infection Prevmentioning
confidence: 99%
“…Clinical predictors of MERS-CoV pneumonia presenting in ER includes overweight, diabetes mellitus, end-stage renal disease, respiratory distress on admission, normal WBC and interstitial infiltrates on chest x ray [21]. A risk prediction model for MERS-CoV pneumonia was developed and incorporated gender, contact with a sick patient or camel, diabetes, pneumonia severity at presentation, low white blood cell (WBC) count, low alanine aminotransferase (ALT), and high aspartate aminotransferase (AST) [99].…”
Section: Prompt Diagnosis and Isolation Of Casesmentioning
confidence: 99%
“…Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is a common method for the diagnosis of MERS-CoV infection [6,49]. However, it is not suitable for the detection of infection in some clinical units and large-scale epidemiological screening.…”
Section: Contents Lists Available At Sciencedirectmentioning
confidence: 99%
“…According to the World Health Organization (WHO), as of May 9, 2019, there were 2,419 laboratory-confirmed cases of MERS and 836 deaths (35% of case-fatality rate) reported from 27 countries (https://www.who.int/csr/don/09-may-2019-mers-saudiarabia/en/). The majority of MERS cases occurred in the Middle East, especially in Saudi Arabia [1,3,[6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%