Key result
Automated risk assessment classifies ~93% of edentulous elderly patients as low-to-moderate anesthetic risk.
Why the study?
Dental implantation in elderly patients with complete edentulism and polymorbid pathology is associated with increased perioperative risk requiring objective patient stratification before intervention.
Does an automated anesthetic risk assessment program effectively stratify risk in elderly patients with complete edentulism and comorbidities?
Cross-Sectional (n=300)
Yes
Does an automated anesthetic risk assessment program effectively stratify risk in elderly patients with complete edentulism and comorbidities?
Effect estimate: Cramer's V = 0.6
p-value: p=7.6×10⁻³⁰
An automated risk assessment program standardizes ASA class assignment and effectively identifies high-risk elderly patients for optimal interdisciplinary planning prior to dental implantation.
Automated ASA stratification may aid preoperative evaluation in elderly edentulous patients; leaves open need for outcome studies before clinical adoption.
Background. Dental implantation in elderly patients with complete edentulism and polymorbid pathology is associated with an increased risk of perioperative complications, which necessitates objective patient stratification before the intervention. Aim. To assess the anesthetic risk in elderly patients with complete edentulism and comorbidity using a developed automated program (Certificate of state registration of computer software No. 2026661940 dated April 24, 2026). Materials and Methods. The study included 300 patients with complete edentulism and comorbidities (type 2 diabetes mellitus, osteoarthritis, chronic kidney disease, chronic obstructive pulmonary disease, hypertension) who were scheduled for dental implantation. Risk assessment was performed using an original computer program based on the ASA Physical Status classification. Statistical analysis was performed using Pearson's chi-squared test and Cramer's V measure. Results. Based on computer analysis, 280 patients (93.3 %) were classified as having low or moderate anesthetic risk (ASA I–II), while 20 patients (6.7 %) were found to have high risk (ASA III–IV). A statistically significant and strong association was found between the degree of anesthetic risk and the nosological structure of comorbid pathology (p = 7.6×10⁻³⁰, Cramer's V = 0.6). High-risk patients were referred to specialized physicians for preoperative stabilization. Conclusion. The developed automated system allows standardizing the process of assigning ASA class, reducing the subjectivity of expert assessment, and timely identifying high-risk patients to optimize interdisciplinary interaction in planning dental implantation.
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Rabinovich et al. (2026) conducted a cross-sectional in Complete secondary edentulism with comorbidities (Type 2 diabetes, osteoarthritis, chronic kidney disease, COPD, hypertension) (n=300). Automated anesthetic risk assessment program (based on ASA Physical Status) was evaluated on Association between the degree of anesthetic risk (ASA-PS) and the nosological structure of comorbid pathology (Cramer's V = 0.6, p=7.6×10⁻³⁰). An automated assessment program classified 93.3% of elderly patients with complete edentulism and comorbidities as having low or moderate anesthetic risk, revealing a strong association between risk degree and comorbidity type (p = 7.6×10⁻³⁰).
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