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[Modern methods of assessment of high operative risk]
Insights
This study identified key risk factors for prevalent cardiovascular, oncological, and pediatric diseases. It also introduced a novel risk assessment tool for surgical interventions and mathematical modeling for patient severity.
Area of Science:
- Public Health
- Cardiology
- Oncology
- Pediatrics
- Surgical Risk Assessment
Context:
- Investigated risk factors for prevalent cardiovascular, oncological, and pediatric diseases.
- Observed increased physician workload and a surplus of hospital beds, indicating an imbalance in healthcare delivery.
- Noted population aging correlating with mortality rates.
Purpose:
- To identify risk factors for common diseases and analyze healthcare delivery.
- To propose an original risk factor assessment for surgical interventions.
- To develop mathematical modeling for patient severity in surgical contexts.
Summary:
- Identified increased incidence of cardiovascular, oncological, and pediatric diseases.
- Highlighted issues in healthcare delivery, including physician workload and hospital bed allocation.
- Introduced a systemic risk factor assessment and surgical aggression index, correlating with prognostic systems.
- Developed a risk degree estimation scale for surgical treatment outcomes.
- Pioneered mathematical modeling of patient severity based on surgical trauma.
Impact:
- Provides a novel tool for assessing surgical risk and predicting outcomes.
- Offers insights into healthcare system inefficiencies and population health trends.
- Contributes to improved patient management and surgical intervention planning.
Abstract:
In the patients with the most frequent diseases investigation was performed for revealing of the risk factors. It was established the increase of the revealing frequency of cardiovascular system diseases, as well as oncological and pediatric. Investigation of indexes of the medical aid delivery to the people witnesses the increase of the physicians occupation. Also the misbalance of stationary medical help due to the hospital bed fund surplus was revealed. The factor of the population ageing was noted, correlating with mortality index. For the qualitative conduction of surgical interventions the original assessment of the risk factors, based on systemic criterions and the calculating index of surgical aggression, owing high correlation index with prognostic systems, was proposed. The scale of the risk degree estimation for practical application, permitting to elucidate the results of surgical treatment, was adduced. For the first time the mathematical modeling of the patients state severity in changing the operation traumaticity for those who have had the severe course of surgical disease was conducted.
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