Nomogram Prediction Model for Risk Factors of Secondary Infection in Sepsis Patients

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Discussion

Analysis identifies risk factors for secondary infection during ICU stay in sepsis patients, suggesting a nomogram may enhance clinical assessment.

Secondary infection likelihood increases with lower oxygen saturation and changes in blood cell counts.
Logistic regression analyses revealed key risk factors in 2247 sepsis patients admitted to the intensive care unit.
Nomogram constructed using R software integrates multiple clinical characteristics for risk assessment.
These findings highlight the need for individualized care strategies in managing sepsis patients' complications.

Lu et al. (2025) studied this question.

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Analysis identifies risk factors for secondary infection during ICU stay in sepsis patients, suggesting a nomogram may enhance clinical assessment.