Global Surgical Risk Assessment in Tonsillectomy with Renal, Digestive, and Neurological Comorbidities: Integration of Multispecialty Predictive Scales

Authors

DOI:

https://doi.org/10.70577/asce.v5i1.597

Keywords:

Tonsillectomy, surgical risk, comorbidities, predictive scales, multidisciplinary assessment.

Abstract

Tonsillectomy is a frequent procedure in otorhinolaryngology, but it carries substantial risks for patients with renal, digestive, and neurological comorbidities. These cases necessitate rigorous perioperative risk assessment, as systemic comorbidities can increase postoperative morbidity and mortality. This article critically reviews the accuracy and limitations of various predictive risk scales, including the American Society of Anesthesiologists (ASA) classification, the Charlson Comorbidity Index, and the STOP-Bang scale. The combined application of these multispecialty tools is shown to enhance risk stratification and inform perioperative decision-making. Through a systematic literature review and the analysis of multicenter cohort outcomes, the article highlights how integrated risk models more effectively identify high-risk patients and support preventive strategies. Epidemiologic data are presented in comparative tables, illustrating the distribution and severity of complications according to different comorbidity types. The authors recommend the prospective validation of integrated predictive instruments and their routine use in tonsillectomy protocols for patients with complex clinical profiles. Adopting this multidisciplinary assessment approach not only enables more personalized patient care but also reduces adverse outcomes and optimizes overall surgical results.

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Published

2026-01-13

How to Cite

Neto Olmosel, M. B., Quiñonez Almeida, A. B., Carrion Cabrera, M. G., Figueroa Medina, M. A., & Minchala Rivera, S. V. (2026). Global Surgical Risk Assessment in Tonsillectomy with Renal, Digestive, and Neurological Comorbidities: Integration of Multispecialty Predictive Scales. ANNALS SCIENTIFIC EVOLUTION, 5(1), 378–393. https://doi.org/10.70577/asce.v5i1.597

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