Age‐Adjusted Charlson Comorbidities Index for Survival Prognosis in Laryngeal Squamous Cell Carcinoma Patients
Year: 2025
Type: article
Study design: Observational Study
Abstract: ABSTRACT Objective This study aimed to explore the prognostic relevance of the age‐adjusted Charlson Comorbidity Index (ACCI) in laryngeal squamous cell carcinoma (LSCC) survival. Methods This retrospective analysis was conducted on the medical records of 367 LSCC patients admitted to the First Hospital of Shanxi Medical University, China, from January 2012 to December 2015. The cohort ( n = 367) comprised 351 males and 16 females aged 40–88 years. ACCI scores were categorized into three groups: high (7–12), moderate (5–6), and low (2–4). Prognostic factors were analyzed using the multivariable Cox proportional hazards regression model, and dynamic prognostic nomograms and calibration curves were generated based on the results. Model performance was evaluated using the C ‐index. Results In this cohort of 367 LSCC patients, the 5‐year overall survival (OS) rate was 58.6%. Meanwhile, the 5‐year progression‐free survival (PFS) rate was 64.3%, and the cancer‐specific survival (CSS) rate was 61.9%. Cox regression analysis identified ACCI, T stage, distant metastasis, and degree of differentiation as independent risk factors for both OS and CSS ( p < 0.05). Additionally, a dynamic prognostic nomogram was established and validated, with a C ‐index of 0.75 (95% CI: 0.711–0.788) and 0.753 (95% CI: 0.714–0.792) for OS and CSS, respectively. High ACCI emerged as a pivotal survival prognosticator for LSCC patients. Thus, a more convenient and precise dynamic predictive model for formulating treatment strategies can be formulated by incorporating ACCI, T stage, metastasis, and differentiation. Conclusions Overall, this study advances our understanding of ACCI's prognostic significance and its role in guiding LSCC management to improve clinical outcomes.
DOI: 10.1002/wjo2.70016
Authors: Ze‐Hui Gao, Rui Han, Su‐Zhen She, Li‐Na Jia, Hui Huang‐Fu, Huan‐Hai Liu
Language: English
Topic: Head and Neck Cancer Studies
Subfield: Otorhinolaryngology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funder: Shanxi Medical University
OpenAlex ID: W4409955051
