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Wound Healing: Proof-of-Principle Model for the Modern Hospital: Patient Stratification, Prediction, Prevention and Personalisation of Treatment

  • Olga Golubnitschaja
  • Lara Stolzenburg Veeser
  • Eden Avishai
  • Vincenzo Costigliola
Chapter

Abstract

For many acute and chronic pathologies, poor individual outcomes and overall statistics reflect the current unsatisfactory state of healthcare. Severe chronic pathologies such as cardiovascular disorders, diabetes, and cancer are treated after onset of the disease, frequently at near end stages. Replacing the current paradigm of reactive medical treatment with an innovative approach incorporating predictive, preventive and personalised medicine (PPPM) is crucial for modern healthcare. Cost-effective disease management and the central role of PPPM have been acknowledged as a priority by global and regional health-related organisations such as the United Nations, the European Union and the National Institutes of Health.

The prevalence and economic burden of the wound healing (WH) are not minor issues: in the USA alone, over $25 billion US are spent annually treating chronic wounds in 6.5 million patients. Problematic WH and chronic wounds may result from a broad spectrum of suboptimal health conditions and severe pathologies. Deficient WH reflects pathological processes and predicts severe diseases before their clinical manifestation. Both modifiable and non-modifiable risk factors make WH highly individual. Individualised patient profiling utilises systems medicine, predictive diagnostics, prevention and treatment tailored to the individual person, i.e. the innovative approaches of PPPM. Multilevel diagnostics employ comprehensive biomarker panels. Potential applications are multi-faceted: early diagnostics of related pathologies and disease predisposition, effective prevention and treatment of collateral pathologies, prediction and prognosis of postsurgical complications, improved individual outcomes in plastic surgery, etc.

Keywords

Predictive preventive personalised medicine Multilevel diagnostics Biomarker panel Laboratory medicine Surgery Aesthetic medicine Psychology Gerontology Nutrition Endocrinology Oncology Cardiovascular disease Radiology Healthcare economy 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Olga Golubnitschaja
    • 1
    • 2
    • 3
    • 4
  • Lara Stolzenburg Veeser
    • 5
  • Eden Avishai
    • 6
  • Vincenzo Costigliola
    • 4
  1. 1.Radiological Clinic, Rheinische Friedrich-Wilhelms-Universität BonnBonnGermany
  2. 2.Breast Cancer Research Centre, Rheinische Friedrich-Wilhelms-Universität BonnBonnGermany
  3. 3.Centre for Integrated Oncology, Cologne-Bonn, Rheinische Friedrich-Wilhelms-Universität BonnBonnGermany
  4. 4.European Association for Predictive, Preventive and Personalised Medicine, EPMABrusselsBelgium
  5. 5.Department of Business AdministrationCarlos III UniversityGetafeSpain
  6. 6.Department of Immunology, Department of Neuroscience, The Ruth and Bruce Rappaport Faculty of MedicineTechnion-Israel Institute of TechnologyHaifaIsrael

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