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[Predicting purulent complications in surgery by determining antibody affinity].
Khirurgiia
|January 5, 2002
Summary
A mathematical model predicts postoperative complications in surgical patients by analyzing antibody affinity. Lower antibody affinity significantly increases the risk of developing infections after surgery.
Area of Science:
- Immunology
- Surgical Pathology
Context:
- Postoperative infectious complications pose a significant risk in surgical patients.
- Evaluating humoral immunity is crucial for predicting patient outcomes.
Purpose:
- To mathematically deduce a coefficient of antibodies affinity.
- To correlate this coefficient with the probability of developing postoperative infectious complications.
Summary:
- Studied blood serum from 153 operated patients and 23 healthy donors.
- A mathematical model linked antibody affinity coefficient to complication probability: <15% (90% risk), 15-30% (50% risk), >30% (low risk).
Impact:
- Provides a prognostic and diagnostic tool for humoral immunity evaluation in surgical patients.
- Enables early identification of high-risk individuals for targeted interventions.