Analysis of Calprotectin as an Early Marker of Infections Is Economically Advantageous in Intensive Care-Treated Patients.
Aleksandra HavelkaAnders O LarssonJohan MårtenssonMax BellMichael HultströmMiklos LipcseyMats B ErikssonPublished in: Biomedicines (2023)
Calprotectin is released from neutrophil granulocytes upon activation. Several studies have indicated that plasma calprotectin is an early determinant of bacterial infections, which may serve as a diagnostic tool facilitating decision making on antibiotic treatment. The study objective was to explore the health and economic implications of calprotectin as a predictive tool to initiate antimicrobial therapy in a cohort of critically ill patients. Thus, data obtained from a previously published study on calprotectin as a hypothetical early biomarker of bacterial infections in critically ill patients were evaluated regarding the potential cost-effective impact of early analysis of calprotectin on an earlier start of antibiotic treatment. Under the assumption that calprotectin is used predictively and comparators (white blood cells, procalcitonin, and C-reactive protein) are used diagnostically, a cost-effective impact of EUR 11,000-12,000 per patient would be obtained. If calprotectin would be used predictively and comparators would be used predictively for 50% of patients, it is hypothesized that cost-effectiveness would be between EUR 6000 and 7000 per patient, based on reduced stay in the ICU and general ward, respectively. Furthermore, predictive use of calprotectin seems to reduce both mortality and the length of hospital stay. This health economic analysis on the predictive use of plasma calprotectin, which facilitates clinical decision making in cases of suspected sepsis, indicates that such determination has a cost-saving and life-saving impact on the healthcare system.
Keyphrases
- disease activity
- healthcare
- newly diagnosed
- ejection fraction
- public health
- decision making
- systemic lupus erythematosus
- emergency department
- staphylococcus aureus
- coronary artery disease
- risk factors
- oxidative stress
- type diabetes
- cell death
- machine learning
- climate change
- patient reported outcomes
- mesenchymal stem cells
- smoking cessation
- bone marrow
- cell cycle arrest
- solid phase extraction
- data analysis
- case control