Validating a clinical laboratory parameter-based deisolation algorithm for patients with COVID-19 in the intensive...

Area of Science:

• Infectious disease diagnostics
• Clinical biochemistry
• Hematology

Background:

• Determining the infectious period for COVID-19 patients is crucial for isolation protocols.
• Current methods may not accurately reflect viral viability.
• Host response markers could offer insights into infectiousness.

Purpose of the Study:

• To investigate the utility of the CoLab algorithm combined with SARS-CoV-2 viability PCR (v-PCR) for assessing COVID-19 infectiousness.
• To develop and validate a predictive model for patient infectious status.
• To facilitate the safe and timely release of COVID-19 patients from isolation.

Main Methods:

• Three patient cohorts will be utilized, encompassing clinical, vital, and laboratory data.
• An algorithm for host response biochemical and hematological changes will be developed in the first cohort.
• Prospective investigation and retrospective validation of the algorithm using v-PCR and conventional PCR will be performed.

Main Results:

• The study aims to establish a correlation between host response markers and viral viability.
• The developed algorithm is expected to predict the cessation of infectiousness.
• Validation across multiple cohorts will confirm the algorithm's generalizability.

Conclusions:

• The CoLab algorithm and v-PCR show promise in accurately determining COVID-19 infectiousness.
• This approach could lead to optimized patient isolation and release strategies.
• Further research will refine the algorithm for clinical application.