The community acquired pneumonia endotypes and phenotypes dataset.

Area of Science:

• Translational Medicine
• Infectious Diseases
• Clinical Data Science

Background:

• Community-Acquired Pneumonia (CAP) remains a significant cause of hospitalization morbidity and mortality.
• Understanding CAP's diverse endotypes and phenotypes is crucial for effective treatment.
• Limited data exists from low- and middle-income countries (LMIC) on CAP.

Purpose of the Study:

• To introduce the NACef Dataset, a comprehensive clinical and biological data repository for CAP research.
• To facilitate statistical analysis and educational initiatives on CAP.
• To enhance understanding of CAP, its endotypes, and phenotypes, particularly in LMIC.

Main Methods:

• Prospective observational cohort study.
• Inclusion of 768 patients diagnosed with CAP at a single center in Colombia.
• Collection of baseline clinical data, in-hospital follow-up, post-discharge information, and biological samples.

Main Results:

• The NACef Dataset contains detailed clinical and laboratory results for CAP patients, including COVID-19 data.
• It represents the first Colombian clinical database available on PhysioNet.
• The dataset supports diverse statistical analyses and research into severe CAP mechanisms.

Conclusions:

• The NACef Dataset is a valuable resource for advancing CAP research globally.
• It provides a unique opportunity to study CAP in an LMIC context.
• Further research using this dataset can improve understanding and management of CAP.