Development of a model for mathematical prediction of the course of the disease in patients with nasal furunculosis

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Retrospective analysis develops a linear model predicting hospitalization duration in nasal furunculosis, suggesting optimized treatments.

The study found that longer disease duration before hospitalization increased the length of hospital stay significantly.
Duration of illness before hospitalization averaged 12.1 days with a hospital stay of 8.1 days in patients treated retrospectively.
Linear modeling identified key factors affecting hospitalization duration, including patient age and hemoglobin levels.
The developed predictive model offers practical applications in optimizing patient management for nasal furunculosis.

Samusenko et al. (2025) studied this question.

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View Full Paper

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Authors

Retrospective analysis develops a linear model predicting hospitalization duration in nasal furunculosis, suggesting optimized treatments.

The study found that longer disease duration before hospitalization increased the length of hospital stay significantly.
Duration of illness before hospitalization averaged 12.1 days with a hospital stay of 8.1 days in patients treated retrospectively.
Linear modeling identified key factors affecting hospitalization duration, including patient age and hemoglobin levels.
The developed predictive model offers practical applications in optimizing patient management for nasal furunculosis.

Samusenko et al. (2025) studied this question.

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