Allwood, BW;
              
      
            
                Koegelenberg, CF;
              
      
            
                Ngah, VD;
              
      
            
                Sigwadhi, LN;
              
      
            
                Irusen, EM;
              
      
            
                Lalla, U;
              
      
            
                Yalew, A;
              
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
          
      
            
            
            ... Nyasulu, PS; + view all
            
          
      
        
        
        
    
  
(2022)
  Predicting COVID-19 outcomes from clinical and laboratory parameters in an intensive care facility during the second wave of the pandemic in South Africa.
IJID Regions
, 3
      
    
     pp. 242-247.
    
         10.1016/j.ijregi.2022.03.024.
  
  
       
    
  
| Preview | PDF 1-s2.0-S2772707622000522-main.pdf - Published Version Download (513kB) | Preview | 
Abstract
Background: The second wave of coronavirus disease 2019 (COVID-19) in South Africa was caused by the Beta variant of severe acute respiratory syndrome coronavirurus-2. This study aimed to explore clinical and biochemical parameters that could predict outcome in patients with COVID-19. Methods: A prospective study was conducted between 5 November 2020 and 30 April 2021 among patients with confirmed COVID-19 admitted to the intensive care unit (ICU) of a tertiary hospital. The Cox proportional hazards model in Stata 16 was used to assess risk factors associated with survival or death. Factors with P<0.05 were considered significant. Results: Patients who died were found to have significantly lower median pH (P<0.001), higher median arterial partial pressure of carbon dioxide (P<0.001), higher D-dimer levels (P=0.001), higher troponin T levels (P=0.001), higher N-terminal-prohormone B-type natriuretic peptide levels (P=0.007) and higher C-reactive protein levels (P=0.010) compared with patients who survived. Increased standard bicarbonate (HCO3std) was associated with lower risk of death (hazard ratio 0.96, 95% confidence interval 0.93–0.99). Conclusions: The mortality of patients with COVID-19 admitted to the ICU was associated with elevated D-dimer and a low HCO3std level. Large studies are warranted to increase the identification of patients at risk of poor prognosis, and to improve the clinical approach.
| Type: | Article | 
|---|---|
| Title: | Predicting COVID-19 outcomes from clinical and laboratory parameters in an intensive care facility during the second wave of the pandemic in South Africa | 
| Open access status: | An open access version is available from UCL Discovery | 
| DOI: | 10.1016/j.ijregi.2022.03.024 | 
| Publisher version: | https://doi.org/10.1016/j.ijregi.2022.03.024 | 
| Language: | English | 
| Additional information: | © 2022 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases under a Creative Commons license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | 
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Infection and Immunity | 
| URI: | https://discovery.ucl.ac.uk/id/eprint/10168295 | 
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