Selected article for: "case fatality rate and index case"

Author: Nam, Hae-Sung; Park, Jung Wan; Ki, Moran; Yeon, Mi-Yeon; Kim, Jin; Kim, Seung Woo
Title: High fatality rates and associated factors in two hospital outbreaks of MERS in Daejeon, the Republic of Korea
  • Cord-id: rdbnu0ks
  • Document date: 2017_2_20
  • ID: rdbnu0ks
    Snippet: OBJECTIVES: To explore the epidemiological and clinical factors predictive of the case fatality rate (CFR) of Middle East respiratory syndrome-coronavirus (MERS-CoV) infection in an outbreak in Daejeon, the Republic of Korea. METHODS: We reviewed the outbreak investigation reports and medical records of 1 index case and 25 additional MERS cases in hospitals A (14 cases) and B (11 cases), and conducted an in-depth interview with the index case. RESULTS: The CFR in hospital B was higher than that
    Document: OBJECTIVES: To explore the epidemiological and clinical factors predictive of the case fatality rate (CFR) of Middle East respiratory syndrome-coronavirus (MERS-CoV) infection in an outbreak in Daejeon, the Republic of Korea. METHODS: We reviewed the outbreak investigation reports and medical records of 1 index case and 25 additional MERS cases in hospitals A (14 cases) and B (11 cases), and conducted an in-depth interview with the index case. RESULTS: The CFR in hospital B was higher than that in hospital A (63.6% vs. 28.6%, respectively). Higher MERS-CoV exposure conditions were also found in hospital B, including aggravated pneumonia in the index case and nebulizer use in a six-bed admission room. The host factors associated with high CFR were pre-existing pneumonia, smoking history, an incubation period of less than 5 days, leukocytosis, abnormal renal function at diagnosis, and respiratory symptoms such as sputum and dyspnea. CONCLUSIONS: The conditions surrounding MERS-CoV exposure and the underlying poor pulmonary function due to a smoking history or pre-existing pneumonia may explain the high CFR in hospital B. The clinical features described above may enable prediction of the prognosis of MERS cases.

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