QTc Interval and Mortality in COVID-19 Patients: A Colombian Hospital Cohort

A retrospective cohort of 1,296 patients with confirmed SARS-CoV-2 infection from San Ignacio University Hospital in Bogotá, Colombia. The dataset was used to analyze the relationship between prolonged QTc interval on admission electrocardiograms and in-hospital mortality, with results published by Stephany Barbosa. Data collection occurred between March 19, 2020, and July 31, 2021.

Use Cases

• Predicting in-hospital mortality risk based on QTc interval prolongation at admission.
• Analyzing the association between patient comorbidities (e.g., kidney disease, Charlson index) and COVID-19 outcomes.
• Investigating the relationship between demographic factors (age, sex) and mortality in a hospitalized COVID-19 cohort.
• Modeling the impact of prolonged QTc on hospital length of stay for COVID-19 patients.

Strengths

• Dataset includes 1,296 patient records with confirmed SARS-CoV-2 infection.
• Analysis includes multivariate logistic regression results with specific odds ratios (e.g., OR 1.61 for prolonged QTc) and confidence intervals.
• Study period is clearly defined, spanning from March 19, 2020, to July 31, 2021.
• Mortality rates are provided for comparison groups (39.4% vs. 25.3%).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying raw data is unknown, which may limit suitability assessment.
• Data may reflect geographic and temporal bias inherent to a single hospital in Colombia during the specified pandemic period.

Provenance

Source

San Ignacio University Hospital, Bogotá, Colombia.

Collection Method

Observational study based on a retrospective patient cohort.

Time Range

March 19, 2020 to July 31, 2021

Geography

Bogotá, Colombia