Code Blue Patient Profiles and Outcomes from a Tertiary Care Hospital in Mangalore, 2022

86 code blue (cardiac arrest) cases from 2022 at a tertiary care hospital in Mangalore, India, were analyzed in this retrospective record-based study. The data was collected from patient files by author J. Radhakrishnan and analyzed with descriptive and inferential statistical methods. The study reports patient demographics, response times, CPR initiation, and survival outcomes.

Use Cases

• Predicting patient survival likelihood based on factors like age, gender, and initial rhythm mentioned in the description.
• Analyzing the impact of bystander CPR initiation before code blue team arrival on survival outcomes.
• Modeling the relationship between emergency response time (e.g., less than 2 minutes) and favorable patient outcomes.
• Profiling demographic patterns (e.g., age group 60-80 years) associated with code blue events in a hospital setting.

Strengths

• Includes 86 specific patient cases from a defined year (2022).
• Reports concrete outcome percentages, such as a 52.9% survival rate and a 66.3% incidence of asystole.
• Analyzes specific predictive factors like response time (<2 mins) and bystander CPR, with associated survival rates (53.3% and 60.0%).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and temporal bias inherent to a single hospital study from 2022.

Provenance

Source

J. Radhakrishnan

Collection Method

Retrospective record-based study; data collected from patient files from the Medical Records Department.

Time Range

2022

Geography

A tertiary care hospital in Mangalore, India.