Comorbidity measurement in patients with laryngeal squamous cell carcinoma. 2007

Mario A F Castro, and Rogério A Dedivitis, and Karina C B Ribeiro
Service of Head and Neck Surgery, Hospital Ana Costa, and Division of Head and Neck Surgery, Irmandade da Santa Casa da Misericórdia de Santos, Brazil.

BACKGROUND The evaluation of a cancer patient can be affected by many factors. Cancer patients often have other diseases or medical conditions in addition to their cancer. These conditions are referred to as comorbidities. They can influence the treatment option, the rate of complications, the outcome, and can confound the survival analysis. OBJECTIVE It was the aim of this study to measure comorbidities in patients with laryngeal squamous cell carcinoma. METHODS Ninety adult patients treated for newly diagnosed laryngeal squamous cell carcinoma were studied. We measured comorbid illness applying the following validated scales: the Cumulative Illness Rating Scale (CIRS), the Kaplan-Feinstein Classification (KFC), the Charlson index, the Index of Coexistent Disease (ICED), the Adult Comorbidity Evaluation-27 (ACE-27), the Alcohol-Tobacco-Related Comorbidities Index (ATC), and the Washington University Head and Neck Comorbidity Index (WUHNCI). Survival analysis was performed using the Kaplan-Meier method (with the log-rank test value being used to compare groups). The Cox proportional hazards model was chosen to identify independent prognostic factors. RESULTS The mean age was 62.3 years. The majority of patients (36.7%) had early tumors. Forty patients were treated by surgery only, while the remaining 49 patients also received postoperative radiation therapy. Only 5 patients (5.6%) were lost to follow-up. Median follow-up time was 42.5 months. The 4-year overall survival was 63%. There was a statistically significant difference between survival rates according to clinical stage (CS I 87.3%, CS II 48.9%, CS III 74.7%, CS IV 23.9%; p < 0.001). Patients treated by surgery only presented a better survival rate (79.6%) than those receiving postoperative radiation therapy (48.9%; p = 0.001). A statistically significant difference in survival rates was also noted when patients were analyzed according to the type of surgical procedure. In a univariate analysis, comorbidity had impact on prognosis, no matter which scale was utilized: CIRS (p = 0.008), ACE-27 (p = 0.010), ATC (p = 0.004), WUHNCI (p = 0.003), Charlson index (p = 0.020), KFC (p = 0.001), and ICED (p = 0.010). However, in the multivariate analysis, only CIRS and TNM staging were identified as independent prognostic factors. CONCLUSIONS The comorbidity is an independent prognostic factor in patients with surgically treated laryngeal cancer. In the univariate analysis, all indexes were able to stratify patients. However, in the multiple analysis, only the CIRS was predictive of death. Comorbidities are an important factor in the analysis of overall survival.

UI MeSH Term Description Entries
D007822 Laryngeal Neoplasms Cancers or tumors of the LARYNX or any of its parts: the GLOTTIS; EPIGLOTTIS; LARYNGEAL CARTILAGES; LARYNGEAL MUSCLES; and VOCAL CORDS. Cancer of Larynx,Laryngeal Cancer,Larynx Neoplasms,Cancer of the Larynx,Larynx Cancer,Neoplasms, Laryngeal,Cancer, Laryngeal,Cancer, Larynx,Cancers, Laryngeal,Cancers, Larynx,Laryngeal Cancers,Laryngeal Neoplasm,Larynx Cancers,Larynx Neoplasm,Neoplasm, Laryngeal,Neoplasm, Larynx,Neoplasms, Larynx
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D002294 Carcinoma, Squamous Cell A carcinoma derived from stratified SQUAMOUS EPITHELIAL CELLS. It may also occur in sites where glandular or columnar epithelium is normally present. (From Stedman, 25th ed) Carcinoma, Epidermoid,Carcinoma, Planocellular,Carcinoma, Squamous,Squamous Cell Carcinoma,Carcinomas, Epidermoid,Carcinomas, Planocellular,Carcinomas, Squamous,Carcinomas, Squamous Cell,Epidermoid Carcinoma,Epidermoid Carcinomas,Planocellular Carcinoma,Planocellular Carcinomas,Squamous Carcinoma,Squamous Carcinomas,Squamous Cell Carcinomas
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015897 Comorbidity The presence of co-existing or additional diseases with reference to an initial diagnosis or with reference to the index condition that is the subject of study. Comorbidity may affect the ability of affected individuals to function and also their survival; it may be used as a prognostic indicator for length of hospital stay, cost factors, and outcome or survival.

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