Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Apr 8, 2025
Date Accepted: Dec 2, 2025

The final, peer-reviewed published version of this preprint can be found here:

Postpandemic Change in Demographic and Clinical Features of Patients With Omicron Who Were Hospitalized: Territory-Wide Retrospective Repeated Cross-Sectional Study in Hong Kong

Ching JYC, Chan SCL, Lee TTL, Pui HHH, Leung BKH, Wong MS, Yamamoto T, Tong CK, Wang C, Rainer TH, Wai AKC

Postpandemic Change in Demographic and Clinical Features of Patients With Omicron Who Were Hospitalized: Territory-Wide Retrospective Repeated Cross-Sectional Study in Hong Kong

JMIR Public Health Surveill 2026;12:e75635

DOI: 10.2196/75635

PMID: 41662574

PMCID: 12885189

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The Change in Demographic and Clinical Features of Hospitalized Omicron Patients After the Pandemic: A Territory-wide Retrospective Cohort Study

  • Jing Yee Christie Ching; 
  • Sunny C L Chan; 
  • Teddy T L Lee; 
  • Hugo H H Pui; 
  • Bosco K H Leung; 
  • Man Sing Wong; 
  • Tafu Yamamoto; 
  • Chak Kwan Tong; 
  • Cantian Wang; 
  • Timothy H Rainer; 
  • Abraham K C Wai

ABSTRACT

Background:

The Omicron variant of SARS-CoV-2 underwent several mutations since it was first identified in November 2021, with a large case of outbreak in Hong Kong during early 2022. Yet, local cases of Omicron infections persist, even though COVID-19 ended in May 2023. Therefore, this study aims to compare the changes in clinical and demographic characteristics of hospitalized COVID-19 patients during the Omicron outbreak in Hong Kong.

Objective:

The primary objective compared different strains, while the secondary objective compared during and post-pandemic.

Methods:

This cohort study collected data on COVID-19 infected patients admitted to public hospitals in Hong Kong between the 1st May 2022 and 31st May 2024. Later categorized into 3 periods based on the Omicron strain. Subsequent descriptive analysis was conducted on each characteristic to identify any significant differences between (primary objective) and within (secondary objective) periods.

Results:

136,544 episodes of COVID-19 were identified with 72,471 episodes that occurred during period 1, 41,167 during period 2, and 22,906 during period 3. Notably, the case-fatality ratio increased from 6.3 to 6.4. Demographic characteristics were significantly different between periods for age (0-17 years old, 18-64 years old, ≥85 years old: Adjusted P<.001), sex (Adjusted P<.001), Charlson Comorbidity Index score (0: Adjusted P=.04, 1: Adjusted P=.003), comorbidities (type 2 diabetes mellitus: Adjusted P<.001), race (Pakistani: Adjusted P<.001), length of hospital stay (Adjusted P<.001), social deprivation index (Most disadvantaged: Adjusted P<.001) Clinical characteristics were also significantly different between periods in levels of blood biomarkers (Albumin, Neutrophil, Lymphocyte, Platelet: Adjusted P<.001) and in-patient drug administration (ACE inhibitors, antidiabetics, antiplatelets and anticoagulants, beta blockers, bronchodilators, calcium channel blockers, diuretics, inhaled corticosteroids, rheumatoid drugs, statins, systemic corticosteroids: Adjusted P<.001). Post-hoc results comparing within-groups showed a spill-over into the post-pandemic era in adults (Adjusted P=.91), type 2 diabetes mellitus (Adjusted P=1.00), Pakistani (Adjusted P=.61), and 0 CCI score (Adjusted P=.18).

Conclusions:

Despite the decreasing incidence of Omicron cases admitted to public hospitals in Hong Kong, the increasing case-fatality ratio suggests long-term surveillance of COVID-19 should be maintained to prepare for potential mutations and outbreaks.


 Citation

Please cite as:

Ching JYC, Chan SCL, Lee TTL, Pui HHH, Leung BKH, Wong MS, Yamamoto T, Tong CK, Wang C, Rainer TH, Wai AKC

Postpandemic Change in Demographic and Clinical Features of Patients With Omicron Who Were Hospitalized: Territory-Wide Retrospective Repeated Cross-Sectional Study in Hong Kong

JMIR Public Health Surveill 2026;12:e75635

DOI: 10.2196/75635

PMID: 41662574

PMCID: 12885189

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.