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Evaluating hospital admission data as indicators of COVID-19 severity: a national assessment in Qatar

  • Layan Sukik
  • , Hiam Chemaitelly
  • , Houssein H Ayoub
  • , Peter Coyle
  • , Patrick Tang
  • , Mohammad R Hasan
  • , Hadi M Yassine
  • , Asmaa A Al Thani
  • , Zaina Al-Kanaani
  • , Einas Al-Kuwari
  • , Andrew Jeremijenko
  • , Anvar Hassan Kaleeckal
  • , Ali Nizar Latif
  • , Riyazuddin Mohammad Shaik
  • , Hanan F Abdul-Rahim
  • , Gheyath K Nasrallah
  • , Mohamed Ghaith Al-Kuwari
  • , Adeel A Butt
  • , Hamad Eid Al-Romaihi
  • , Mohamed H Al-Thani
  • Abdullatif Al-Khal, Roberto Bertollini, Laith J Abu-Raddad

Research output: Contribution to journalArticlepeer-review

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Abstract

BackgroundAccurately assessing SARS-CoV-2 infection severity is essential for understanding the health impact of the infection and evaluating the effectiveness of interventions. This study investigated whether SARS-CoV-2-associated hospitalizations can reliably measure true COVID-19 severity.MethodsThe diagnostic accuracy of SARS-CoV-2-associated acute care and ICU hospitalizations as indicators of infection severity was assessed in Qatar from 6 September 2021 to 13 May 2024. WHO criteria for severe, critical, and fatal COVID-19 served as the reference standard. Two indicators were assessed: (1) any SARS-CoV-2-associated hospitalization in acute care or ICU beds and (2) ICU-only hospitalizations.ResultsA total of 644 176 SARS-CoV-2 infections were analyzed. The percent agreement between any SARS-CoV-2-associated hospitalization (acute care or ICU) and WHO criteria was 98.7% (95% confidence interval (CI), 98.6-98.7); however, Cohen's kappa was only 0.17 (95% CI, 0.16-0.18), indicating poor agreement. Sensitivity, specificity, PPV, and negative predictive value were 100% (95% CI, 99.6-100), 98.7% (95% CI, 98.6-98.7), 9.7% (95% CI, 9.1-10.3), and 100% (95% CI, 100-100), respectively. For SARS-CoV-2-associated ICU-only hospitalizations, the percent agreement was 99.8% (95% CI, 99.8-99.9), with a kappa of 0.47 (95% CI, 0.44-0.50), indicating fair-to-good agreement. Sensitivity, specificity, PPV, and negative predictive value were 46.6% (95% CI, 43.4-49.9), 99.9% (95% CI, 99.9-99.9), 47.9% (95% CI, 44.6-51.2), and 99.9% (95% CI, 99.9-99.9), respectively.ConclusionsGeneric hospital admissions are unreliable indicators of COVID-19 severity, whereas ICU admissions are somewhat more accurate. The findings demonstrate the importance of applying specific, robust criteria-such as WHO criteria-to reduce bias in epidemiological and vaccine effectiveness studies.
Original languageEnglish
Article numberofaf098
Number of pages9
JournalOpen Forum Infectious Diseases
Volume12
Issue number3
Early online date17 Feb 2025
DOIs
Publication statusPublished - 01 Mar 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Sensitivity
  • Hospitalization
  • Severity
  • Covid-19
  • Cohen's Kappa Statistic

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