To evaluate the prognostic value of multivariate logistic regression analysis combined with amyloid A and lactic acid monitoring in patients with severe pneumonia-associated sepsis, with a focus on its implications for recovery, physical rehabilitation, and the maintenance of physical performance. Methods: This retrospective study analyzed clinical data from patients diagnosed with severe pneumonia-associated sepsis. Key biomarkers, including serum amyloid A (SAA) and lactic acid, were monitored alongside multivariate logistic regression analysis to assess their predictive value for patient outcomes. Biomarker trends and regression results were correlated with clinical recovery metrics, focusing on functional capacity and readiness for physical rehabilitation. Results: Serum amyloid A and lactic acid levels were significantly elevated in patients with severe pneumonia-associated sepsis, correlating with worse clinical outcomes. Multivariate logistic regression analysis identified these biomarkers as independent predictors of mortality and prolonged recovery time (P < 0.05). Patients with lower biomarker levels showed improved physical performance, shorter rehabilitation durations, and greater readiness to re-engage in physical activities compared to those with elevated levels. Conclusion: The combination of multivariate logistic regression analysis with amyloid A and lactic acid monitoring provides valuable prognostic insights in severe pneumonia-associated sepsis. These tools not only enhance clinical decision-making but also inform personalized rehabilitation strategies, ensuring effective recovery and the restoration of physical performance. This approach has significant implications for individuals, including athletes, recovering from critical illnesses, emphasizing the need for integrated care models that bridge acute treatment and physical rehabilitation. Future research should explore the long-term effects of biomarker-guided interventions on physical activity levels and overall functional outcomes.