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ORIGINAL RESEARCH article

Front. Nutr.

Sec. Clinical Nutrition

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1669225

Higher Controlling Nutritional Status (CONUT) Score Indicates Increased Risk of Sarcopenia in Elderly Hospitalized Patients: A Single Institution Study in China

Provisionally accepted
Leying  SunLeying Sun1,2Yilin  YangYilin Yang3Ruiyi  YanRuiyi Yan4Bingqing  XuBingqing Xu5Kaiyu  ZhangKaiyu Zhang5Wenyu  ZhuWenyu Zhu5Xiaoyi  LianXiaoyi Lian5Yihui  XuYihui Xu5Lei  LiuLei Liu6Xiuming  GaoXiuming Gao1,2*Zhengli  GuoZhengli Guo5*Mingqin  ZhouMingqin Zhou7*
  • 1The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
  • 2Xuzhou Medical University, Xuzhou, China
  • 3Southeast University, Nanjing, China
  • 4Peking Union Medical College Hospital (CAMS), Beijing, China
  • 5Kunshan First People's Hospital, Kunshan, China
  • 6Suzhou Municipal Hospital, Suzhou, China
  • 7Shantou University Medical College Cancer Hospital, Shantou, China

The final, formatted version of the article will be published soon.

1) Background: The Controlled Nutritional Status (CONUT) metric has demonstrated effectiveness as a prognostic indicator for acute and chronic diseases in addition to other wasting conditions. However, its association with sarcopenia in elderly hospitalized patients remains insufficiently explored. Our study objectives included the assessment of the potential of CONUT score to predict sarcopenia onset. 2) Methods: Our study was a single center retrospective cohort study. Patients from the Department of Geriatrics of the First People's Hospital of Kunshan were recruited for this study. Multiple indicators related to nutrition and sarcopenia, including CONUT, Prognostic Nutritional Index (PNI), triglyceride–total cholesterol–body weight index (TCBI), Geriatric Nutritional Risk Index (GNRI), and handgrip strength (HGS). Spearman's and Pearson's correlation were calculated to assess the associations between nutritional indices and sarcopenia-related indicators. The demographic characteristics, physical examination findings and laboratory parameters were included in univariate logistic regression. Based on the results of univariate logistic regression and theoretical analysis, variables were selected for multivariate logistic regression in order to identify risk factors for sarcopenia. 3) Results: A total of 236 elderly hospitalized patients were included. Malnutrition was prevalent in patients with sarcopenia. The optimal CONUT cut-off values were defined as >4 for males and >3 for females, dividing patients into high CONUT (n=140, 59.32%) and low CONUT (n=96, 40.58%) groups. Patients in the high CONUT group had lower levels of albumin, prealbumin, hemoglobin, and total lymphocyte count. Multivariate logistic regression analysis showed that a high CONUT score was an independent risk factor for sarcopenia (OR:1.814, 95% CI: 1.019–3.255, p = 0.044). Male sex and low iron level were also demonstrated to be associated with sarcopenia.. 4) Conclusion: CONUT score is an independent risk factor for sarcopenia and may serve as a practical indicator for sarcopenia risk screening in elderly hospitalized patients.

Keywords: Controlling Nutritional Status (CONUT), Sarcopenia, Aging, risk factor, Nutritional Status

Received: 19 Jul 2025; Accepted: 17 Oct 2025.

Copyright: © 2025 Sun, Yang, Yan, Xu, Zhang, Zhu, Lian, Xu, Liu, Gao, Guo and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xiuming Gao, 1436473934@qq.com
Zhengli Guo, 350834416@qq.com
Mingqin Zhou, zhoumingqinseu@163.com

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