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Published on: October 23, 2020
Correlation between classification in risk categories and clinical aspects and outcomes
Gabriella Novelli Oliveira1, Cássia Regina Vancini-Campanharo2, Maria Carolina Barbosa Teixeira Lopes3
1Master's student, Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, SP, Brazil, Enfermeira, Hospital Universitário, Universidade de São Paulo, São Paulo, SP, Brazil.
Risk category classification correlates with patient clinical profiles and outcomes. Higher risk categories are associated with increased severity, hospitalization, and mortality, highlighting the importance of accurate patient assessment.
Area of Science:
- Medical Informatics
- Clinical Research
- Public Health
Background:
- Patient risk stratification is crucial for effective healthcare management.
- Understanding the correlation between risk categories and clinical outcomes aids in resource allocation and treatment planning.
Purpose of the Study:
- To correlate patient risk category classification with their clinical profiles, outcomes, and origins.
- To investigate the relationship between risk stratification and patient severity.
Main Methods:
- An analytical cross-sectional study was conducted using 697 adult patient medical records.
- Data included demographics, symptoms, comorbidities, risk category, medical specialty, and outcome.
- Chi-square and likelihood ratio tests were employed for statistical analysis.
Main Results:
- The majority of patients were female (average age 44.5 years), with pain and dyspnea as common symptoms and hypertension/diabetes as frequent comorbidities.
- Green and yellow risk categories were most prevalent; hospital discharge was the most common outcome.
- Red category patients showed higher ambulance origin (surgical reasons), and orange/red categories were linked to increased hospitalization and mortality.
Conclusions:
- A significant correlation exists between clinical aspects and patient outcomes.
- Increased complexity within higher risk categories directly relates to greater severity, evidenced by higher hospitalization and mortality rates.
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