Development and Validation of Clinical Predictive Model for Pneumonia on Hospital Admission in COVID-19 Patients

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

TCTR

Registry ID

TCTR20220310007

Enrollment

833

Registered

2022-03-10

Start date

2021-09-01

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

All new COVID-19 patients (except emergency cases) need to be screened and stratified severity at the triage point. Chest radiography plays a major role for identified COVID-19 pneumonia, whereas the abnormal finding found only 30 percent of cases. COVID-19, Pneumonia, Predictive model, Triage, Hospital admission, Chest radiography

Interventions

Detected abnormal Chest radiography, which consists of COVID-19 pneumonia at triage point ,Not detected COVID-19 pneumonia in chest radiography

Diagnostic,Diagnostic

COVID-19 pneumonia ,COVID-19 infection, no pneumonia

Eligibility

Sex/Gender

All

Age

18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Age>= 18 years old 2. Patient with COVID-19 infection (confirm by RT-PCR ) 3. Admission to Hatyai hospital

Exclusion criteria

Exclusion criteria: 1. Pregnancy 2. Acute respiratory failure at enrollment 3. A terminal illness of disease 4. Refer from another hospital

Design outcomes

Primary

Measure	Time frame
Abnormal chest radiography which consist to COVID-19 pneumonia first CXR at triage point 2 independent reviewer	—

Secondary

Measure	Time frame
Abnormal grading of chest radiography first CXR at triage point 2 independent reviewer physician	—

Countries

Thailand

Contacts

Public Contactchutima Cheranakhorn

Hatyai hospital

waitfor027@gmail.com0815993377

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 9, 2026