Publication: Predicting teeth extraction after concurrent chemoradiotherapy in locally advanced nasopharyngeal cancer patients using the novel glucar index
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Co-Authors
Somay, Efsun
Topkan, Erkan
Yilmaz, Busra
Besen, Ali Ayberk
Mertsoylu, Huseyin
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Abstract
To evaluate the value of the newly created glucar index in predicting tooth extraction rates after concurrent chemoradiotherapy (C-CRT) in locally advanced nasopharyngeal carcinomas (LA-NPCs). Methods: A total of 187 LA-NPC patients who received C-CRT were retrospectively analyzed. The GLUCAR index was defined as 'GLUCAR = (Fasting Glucose x CRP/Albumin Ratio) by utilizing measures of glucose, C-reactive protein (CRP), and albumin obtained on the first day of C-CRT. Results: The optimal GLUCAR cutoff was 31.8 (area under the curve: 78.1%; sensitivity: 70.5%; specificity: 70.7%, Youden: 0.412), dividing the study cohort into two groups: GLUCAR < 1.8 (N = 78) and GLUCAR >= 31.8 (N = 109) groups. A comparison between the two groups found that the tooth extraction rate was significantly higher in the group with a GLUCAR >= 31.8 (84.4% vs. 47.4% for GLUCAR < 31.8; odds ratio (OR):1.82; p < 0.001). In the univariate analysis, the mean mandibular dose >= 38.5 Gy group (76.5% vs. 54.9% for <38.5 Gy; OR: 1.45; p = 0.008), mandibular V55.2 Gy group >= 40.5% (80.3 vs. 63.5 for <40.5%, p = 0.004, OR; 1.30), and being diabetic (71.8% vs. 57.9% for nondiabetics; OR: 1.23; p = 0.007) appeared as the additional factors significantly associated with higher tooth extraction rates. All four characteristics remained independent predictors of higher tooth extraction rates after C-CRT in the multivariate analysis (p < 0.05 for each). Conclusions: The GLUCAR index, first introduced here, may serve as a robust new biomarker for predicting post-C-CRT tooth extraction rates and stratifying patients according to their tooth loss risk after treatment.
Source
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Subject
Medicine, General, Internal
Citation
Has Part
Source
Diagnostics
Book Series Title
Edition
DOI
10.3390/diagnostics13233594