[Advances in clinical prediction scores for prognosis of coronavirus disease-2019]

Area of Science:

• Infectious Diseases
• Public Health
• Clinical Medicine

Background:

• Coronavirus Disease-2019 (COVID-19) presents a global health challenge, straining healthcare systems.
• While mild cases are common, severe-critical COVID-19 has higher mortality and resource demands.
• Existing prognostic scores for pneumonia, sepsis, and viral infections are often applied to COVID-19.

Purpose of the Study:

• To summarize existing prognostic scores used for COVID-19 patients.
• To identify limitations such as lack of population description and potential bias in current scoring systems.
• To provide a reference for clinical prognostic risk assessment in COVID-19.

Main Methods:

• Literature review of existing prognostic scores for COVID-19.
• Analysis of score applicability and potential biases.
• Synthesis of findings to guide clinical risk assessment.

Main Results:

• Various scores are used for COVID-19 prognosis, including those for community-acquired pneumonia, sepsis, and viral pneumonia.
• These scores frequently lack clear applicability guidelines for specific patient populations.
• High risk of bias and unknown generalizability are common issues with existing scores.

Conclusions:

• Current prognostic scores for COVID-19 have significant limitations.
• A need exists for validated, well-defined scoring systems for accurate risk stratification.
• This review serves as a reference to aid clinicians in prognostic assessment and resource management for COVID-19.