The interval between onset and admission predicts disease progression in COVID-19 patients

Liang Peng1, Qing-Quan Lv2, Fan Yang3

  • 1Department of Otorhinolaryngology, The First Affiliated Hospital of Sun Yat-sen University; International Airway Research Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou Key Laboratory of Otorhinolaryngology, Guangzhou, China.

Insights

The time from symptom onset to hospital admission (O-A interval) predicts COVID-19 progression in mild cases. A shorter O-A interval indicates a higher risk of developing severe coronavirus disease 2019 (COVID-19).

Area of Science:

  • Infectious Diseases
  • Epidemiology
  • Public Health

Background:

  • The prognostic significance of the interval between disease onset and hospital admission (O-A interval) in coronavirus disease 2019 (COVID-19) patients was previously unclear.
  • Understanding this interval could offer insights into disease progression and healthcare-seeking behaviors during the pandemic.

Purpose of the Study:

  • To investigate the prognostic value of the O-A interval on disease progression and outcomes in COVID-19 patients.
  • To evaluate whether the O-A interval can predict the likelihood of mild-to-moderate cases deteriorating into severe-to-critical stages.

Main Methods:

  • A retrospective observational study included 205 laboratory-confirmed COVID-19 inpatients admitted to Hankou Hospital, Wuhan.
  • Data on demographics, medical history, and laboratory results were collected.
  • Logistic regression models assessed the prognostic effect of O-A interval (≤7 vs. >7 days) on disease progression in mild-to-moderate patients; log-rank and Mann-Whitney U tests compared outcomes in severe-to-critical patients.

Main Results:

  • Mild-to-moderate COVID-19 patients with a shorter O-A interval (≤7 days) were significantly more likely to progress to severe-to-critical stages compared to those with a longer interval (>7 days).
  • The unadjusted odds ratio was 2.93 (95% CI, 1.32-6.55), and the adjusted odds ratio was 3.44 (95% CI, 1.20-9.83).
  • No significant association was found between the O-A interval and in-hospital mortality or length of hospital stay in severe-to-critical patients.

Conclusions:

  • The O-A interval demonstrates predictive value for disease progression in mild-to-moderate COVID-19 patients.
  • In Wuhan's specific healthcare context, the O-A interval may reflect the natural course of COVID-19, influenced by patient self-assessment.
  • Further validation in diverse cohorts and healthcare systems is recommended to confirm these findings.
Abstract

Related Concept Videos

Stages of Infection01:26

Stages of Infection

Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
62.2K
COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
1.5K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.8K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
323
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
472
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.2K