Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia
<i>Background and Objectives</i>: The nasopharynx, unlike other pharyngeal regions, includes an important part of the immune system, called the adenoid (nasopharyngeal tonsil); its posterior wall contains lymphoid tissue belonging to Waldeyer’s ring. Nasopharyngeal posterior wall thickne...
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MDPI AG
2025-05-01
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| author | Mansur Doğan Merve Çiftçi Yusuf Yeşil |
| author_facet | Mansur Doğan Merve Çiftçi Yusuf Yeşil |
| author_sort | Mansur Doğan |
| collection | DOAJ |
| description | <i>Background and Objectives</i>: The nasopharynx, unlike other pharyngeal regions, includes an important part of the immune system, called the adenoid (nasopharyngeal tonsil); its posterior wall contains lymphoid tissue belonging to Waldeyer’s ring. Nasopharyngeal posterior wall thickness is often associated with adenoid hyperplasia in adults. The current study aimed to compare the blood lipid and metabolic profiles of adult patients with increased nasopharyngeal posterior wall thickness to those of the healthy population. <i>Materials and Methods</i>: This study included a cohort of 98 patients, 52 in the control group and 46 diagnosed with increased nasopharyngeal posterior wall thickness due to adenoid hyperplasia. Clinical and biochemical data were collected from medical records at Sivas Cumhuriyet University and Erbaa State Hospital between January 2024 and March 2025. The dataset consisted of the following 11 features: age, sex, total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, fasting blood glucose, glycated hemoglobin (HbA1C), C-reactive protein (CRP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). <i>Results</i>: HDL was significantly lower in the adenoid hyperplasia group (mean = 48.68, SD = 21.87) compared to the control group (mean = 51.31, SD = 11.80; Kruskal–Wallis H = 4.750, <i>p</i> = 0.029), with a small effect size (Cohen’s d = −0.156). ALT was higher in the adenoid hyperplasia group (mean = 26.35, SD = 16.93 vs. 20.88, SD = 11.42; permutation test <i>p</i> = 0.082), suggesting a trend toward significance. HbA1C had a higher mean in the adenoid hyperplasia group (7.88, SD = 9.82 vs. 6.18, SD = 1.18; <i>p</i> = 0.852), with high variability. <i>Conclusions</i>: In conclusion, this study identified HDL, HbA1C, and ALT as potential biomarkers for nasopharyngeal adenoid hyperplasia, with XGBoost and SHAP providing valuable insights despite dataset constraints. |
| format | Article |
| id | doaj-art-234b54ef32e84a5bb8638235eff7ab4e |
| institution | DOAJ |
| issn | 1010-660X 1648-9144 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Medicina |
| spelling | doaj-art-234b54ef32e84a5bb8638235eff7ab4e2025-08-20T03:16:22ZengMDPI AGMedicina1010-660X1648-91442025-05-01616101810.3390/medicina61061018Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid HyperplasiaMansur Doğan0Merve Çiftçi1Yusuf Yeşil2Department of Otorhinolaryngology, Faculty of Medicine, Sivas Cumhuriyet University, Sivas 58140, TürkiyeDepartment of Otorhinolaryngology, Tokat Erbaa State Hospital, Tokat 60500, TürkiyeDepartment of Biochemistry, Tokat Erbaa State Hospital, Tokat 60500, Türkiye<i>Background and Objectives</i>: The nasopharynx, unlike other pharyngeal regions, includes an important part of the immune system, called the adenoid (nasopharyngeal tonsil); its posterior wall contains lymphoid tissue belonging to Waldeyer’s ring. Nasopharyngeal posterior wall thickness is often associated with adenoid hyperplasia in adults. The current study aimed to compare the blood lipid and metabolic profiles of adult patients with increased nasopharyngeal posterior wall thickness to those of the healthy population. <i>Materials and Methods</i>: This study included a cohort of 98 patients, 52 in the control group and 46 diagnosed with increased nasopharyngeal posterior wall thickness due to adenoid hyperplasia. Clinical and biochemical data were collected from medical records at Sivas Cumhuriyet University and Erbaa State Hospital between January 2024 and March 2025. The dataset consisted of the following 11 features: age, sex, total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides, fasting blood glucose, glycated hemoglobin (HbA1C), C-reactive protein (CRP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST). <i>Results</i>: HDL was significantly lower in the adenoid hyperplasia group (mean = 48.68, SD = 21.87) compared to the control group (mean = 51.31, SD = 11.80; Kruskal–Wallis H = 4.750, <i>p</i> = 0.029), with a small effect size (Cohen’s d = −0.156). ALT was higher in the adenoid hyperplasia group (mean = 26.35, SD = 16.93 vs. 20.88, SD = 11.42; permutation test <i>p</i> = 0.082), suggesting a trend toward significance. HbA1C had a higher mean in the adenoid hyperplasia group (7.88, SD = 9.82 vs. 6.18, SD = 1.18; <i>p</i> = 0.852), with high variability. <i>Conclusions</i>: In conclusion, this study identified HDL, HbA1C, and ALT as potential biomarkers for nasopharyngeal adenoid hyperplasia, with XGBoost and SHAP providing valuable insights despite dataset constraints.https://www.mdpi.com/1648-9144/61/6/1018lipid profilesadultsadenoid hyperlasia |
| spellingShingle | Mansur Doğan Merve Çiftçi Yusuf Yeşil Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia Medicina lipid profiles adults adenoid hyperlasia |
| title | Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia |
| title_full | Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia |
| title_fullStr | Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia |
| title_full_unstemmed | Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia |
| title_short | Machine Learning Analysis of Lipid and Metabolic Profiles in Adults with Adenoid Hyperplasia |
| title_sort | machine learning analysis of lipid and metabolic profiles in adults with adenoid hyperplasia |
| topic | lipid profiles adults adenoid hyperlasia |
| url | https://www.mdpi.com/1648-9144/61/6/1018 |
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