Lorenzo Ferrario, Andrea Costantino, Letizia Maria Affaticati, Massimo Clerici, Antonios Dakanalis, Enrico Capuzzi, Massimiliano Buoli
{"title":"The Role of Age at Onset on the Clinical Course and Biochemical Parameters of Anorexia Nervosa.","authors":"Lorenzo Ferrario, Andrea Costantino, Letizia Maria Affaticati, Massimo Clerici, Antonios Dakanalis, Enrico Capuzzi, Massimiliano Buoli","doi":"10.3390/jpm15090442","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Anorexia nervosa (AN) has the highest mortality rate among psychiatric disorders, making early diagnosis and tailored management crucial. This study aimed to evaluate the impact of age at onset (AAO)-childhood/adolescence versus adulthood-on the clinical course and associated biochemical parameters. <b>Methods:</b> Seventy-six female patients with AN were divided into two groups based on AAO (<18 years vs. ≥18 years). Group comparisons were performed using <i>t</i>-tests for continuous variables and χ<sup>2</sup> tests for categorical variables. Correlation analyses assessed associations between AAO and continuous variables. Significant findings were entered into regression models, including a binary logistic regression with AAO as the dependent variable and a linear regression with significant correlations as predictors. <b>Results:</b> The early-onset group showed significantly higher potassium levels and a lower sodium/potassium ratio (Na<sup>+</sup>/K<sup>+</sup>) compared with the late-onset group (potassium: t = 0.93, <i>p</i> < 0.01; Na<sup>+</sup>/K<sup>+</sup>: t = 3.39, <i>p</i> < 0.01). AAO was strongly inversely correlated with potassium levels (r = -0.75, <i>p</i> < 0.01) and positively correlated with cholesterol (r = 0.574, <i>p</i> < 0.01) and Na<sup>+</sup>/K<sup>+</sup> (r = 0.78, <i>p</i> = 0.01). Binary logistic regression correctly classified 87% of cases, showing that lower Na<sup>+</sup>/K<sup>+</sup> was associated with earlier onset (OR = 2.23, <i>p</i> = 0.03). Linear regression confirmed significant associations of AAO with cholesterol levels (B = 0.07, <i>p</i> = 0.02) and Na<sup>+</sup>/K<sup>+</sup> (B = 1.68, <i>p</i> < 0.01). <b>Conclusions:</b> AAO in AN is strongly associated with specific biochemical parameters. Early-onset patients exhibit more severe electrolyte imbalances, while late-onset cases show higher cholesterol levels, suggesting increased cardiovascular risk. These findings emphasize the importance of personalized treatment approaches according to AAO, although further studies are warranted to confirm these results.</p>","PeriodicalId":16722,"journal":{"name":"Journal of Personalized Medicine","volume":"15 9","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12470594/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jpm15090442","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Anorexia nervosa (AN) has the highest mortality rate among psychiatric disorders, making early diagnosis and tailored management crucial. This study aimed to evaluate the impact of age at onset (AAO)-childhood/adolescence versus adulthood-on the clinical course and associated biochemical parameters. Methods: Seventy-six female patients with AN were divided into two groups based on AAO (<18 years vs. ≥18 years). Group comparisons were performed using t-tests for continuous variables and χ2 tests for categorical variables. Correlation analyses assessed associations between AAO and continuous variables. Significant findings were entered into regression models, including a binary logistic regression with AAO as the dependent variable and a linear regression with significant correlations as predictors. Results: The early-onset group showed significantly higher potassium levels and a lower sodium/potassium ratio (Na+/K+) compared with the late-onset group (potassium: t = 0.93, p < 0.01; Na+/K+: t = 3.39, p < 0.01). AAO was strongly inversely correlated with potassium levels (r = -0.75, p < 0.01) and positively correlated with cholesterol (r = 0.574, p < 0.01) and Na+/K+ (r = 0.78, p = 0.01). Binary logistic regression correctly classified 87% of cases, showing that lower Na+/K+ was associated with earlier onset (OR = 2.23, p = 0.03). Linear regression confirmed significant associations of AAO with cholesterol levels (B = 0.07, p = 0.02) and Na+/K+ (B = 1.68, p < 0.01). Conclusions: AAO in AN is strongly associated with specific biochemical parameters. Early-onset patients exhibit more severe electrolyte imbalances, while late-onset cases show higher cholesterol levels, suggesting increased cardiovascular risk. These findings emphasize the importance of personalized treatment approaches according to AAO, although further studies are warranted to confirm these results.
背景:神经性厌食症(AN)在精神疾病中死亡率最高,因此早期诊断和针对性治疗至关重要。本研究旨在评估发病年龄(AAO)——儿童期/青春期与成年期——对临床病程和相关生化参数的影响。方法:76例女性AN患者采用连续变量的AAO (t检验)和分类变量的χ2检验分为两组。相关分析评估了AAO与连续变量之间的关联。将显著的发现输入回归模型,包括以AAO为因变量的二元逻辑回归和以显著相关性为预测因子的线性回归。结果:早发组钾水平明显高于晚发组,钠钾比(Na+/K+)明显低于晚发组(钾:t = 0.93, p < 0.01; Na+/K+: t = 3.39, p < 0.01)。AAO与钾水平呈显著负相关(r = -0.75, p < 0.01),与胆固醇水平呈显著正相关(r = 0.574, p < 0.01),与Na+/K+呈显著正相关(r = 0.78, p = 0.01)。二元逻辑回归正确分类87%的病例,显示Na+/K+较低与早期发病相关(OR = 2.23, p = 0.03)。线性回归证实AAO与胆固醇水平(B = 0.07, p = 0.02)和Na+/K+ (B = 1.68, p < 0.01)有显著相关性。结论:AN中的AAO与特定生化参数密切相关。早发患者表现出更严重的电解质失衡,而晚发患者表现出更高的胆固醇水平,表明心血管风险增加。这些发现强调了根据AAO个性化治疗方法的重要性,尽管需要进一步的研究来证实这些结果。
期刊介绍:
Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.