Middle East respiratory syndrome coronavirus in Al-Madinah City, Saudi Arabia: Demographic, clinical and survival data

J Epidemiol Glob Health. 2017 Mar;7(1):29-36. doi: 10.1016/j.jegh.2016.05.002. Epub 2016 Jun 11.

Abstract

Background: Middle East respiratory syndrome coronavirus (MERS-CoV), is an emerging virus respiratory infection. It has a high mortality rate and a wide spectrum of clinical features. This study describes the clinical characteristics and outcome of MERS infected patients.

Methods: A retrospective study was conducted of all confirmed MERS-CoV infections from March 2014 to May 2014 at two tertiary care hospitals in Al-Madinah region (Saudi Arabia). We gathered data about demographic, clinical presentation, and factors associated with severity and mortality.

Results: A total of 29 cases were identified; 20 males (69%) and nine females (31%), age 45±12years. The death rate was higher for men (52%) than for women (23%). Initial presentation was fever in 22 (75%) cases, cough in 20 (69%) cases, and shortness of breath in 20 (69%) cases. Associated comorbidities were diabetes mellitus in nine (31%) patients and chronic kidney disease (CKD) in eight (27%) patients. Duration of symptoms before hospitalization ranged from 2.9days to 5days. Elevated liver enzymes were present in 14 (50%) patients and impaired renal profile present in eight (27%) patients. We also describe in this study radiological patterns and factors associated with mortality.

Conclusion: MERS-CoV infection transmission continues to occur as clusters in healthcare facilities. The frequency of cases and deaths is higher among men than women and among patients with comorbidities.

Keywords: Characteristics; Coronavirus; Epidemiology; MERS; Saudi Arabia; Survival.

MeSH terms

  • Adult
  • Comorbidity
  • Coronavirus Infections / epidemiology*
  • Demography / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Middle East Respiratory Syndrome Coronavirus*
  • Retrospective Studies
  • Saudi Arabia / epidemiology
  • Survival Analysis