Literature DB >> 28274690

The Controlling Nutritional Status Score Is a Significant Independent Predictor of Poor Prognosis in Patients With Malignant Pleural Mesothelioma.

Shinkichi Takamori1, Gouji Toyokawa2, Kenichi Taguchi3, Makoto Edagawa1, Shinichiro Shimamatsu1, Ryo Toyozawa1, Kaname Nosaki1, Takashi Seto1, Fumihiko Hirai1, Masafumi Yamaguchi1, Fumihiro Shoji2, Tatsuro Okamoto2, Mitsuhiro Takenoyama4, Yukito Ichinose1.   

Abstract

INTRODUCTION: Malignant pleural mesothelioma (MPM) is a devastating neoplasm; however, some patients exhibit a good response to chemotherapy or multidisciplinary therapy, including surgery and chemotherapy. It is therefore important to discover the factors that can be used to select patients who will benefit from such treatment. Although the Controlling Nutritional Status (CONUT) score has been used to predict the prognosis in other types of malignancy, its utility in patients with MPM is unknown. The aim of this study was to clarify the clinical significance of the CONUT in patients with MPM.
METHODS: The data of 83 patients, who were treated with surgery, chemotherapy, or multidisciplinary therapy, were analyzed in the present study. A cut-off CONUT score of 2 was used to classify all of the patients into low or high CONUT groups.
RESULTS: Fifty-two of the 83 patients were classified into the low CONUT group. A high CONUT score was significantly correlated with chemotherapy alone (P = .011). The high CONUT group had significantly poorer overall survival (OS) (P < .001) and disease- or progression-free survival (DFS/PFS) (P < .001). The clinical stage and the CONUT score were found to be independent predictive factors for the OS: clinical stage, I/II and III/IV; P = .001 and CONUT score, ≥ 3 and ≤ 2; P = .011, respectively. The clinical stage and the CONUT score were also independent predictive factors for DFS/PFS: clinical stage, I/II and III/IV; P = .006 and CONUT score, ≥ 3 and ≤ 2; P = .013, respectively.
CONCLUSIONS: The CONUT score was an independent predictor of a poor prognosis in the patients with MPM. This score provides useful information for selecting patients who will benefit from the treatment.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Controlling nutritional status; Immune-nutritional index; Malignant pleural mesothelioma; Malnutrition; Prognosis

Mesh:

Substances:

Year:  2017        PMID: 28274690     DOI: 10.1016/j.cllc.2017.01.008

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  13 in total

1.  Mesothelioma diagnosis and prognosis, are we moving beyond histology and performance status towards circulating biomarkers?

Authors:  Oluf Dimitri Røe
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

2.  Is Pleurectomy/Decortication Superior to Extrapleural Pneumonectomy for Patients with Malignant Pleural Mesothelioma? A Single-Institutional Experience.

Authors:  Takuro Miyazaki; Naoya Yamasaki; Tomoshi Tsuchiya; Keitaro Matsumoto; Ryotaro Kamohara; Go Hatachi; Takeshi Nagayasu
Journal:  Ann Thorac Cardiovasc Surg       Date:  2018-01-23       Impact factor: 1.520

3.  The relationship between nutritional status and prognosis in patients with locally advanced and advanced stage lung cancer.

Authors:  Busra Gul; Selma Metintas; Guntulu Ak; Senay Yilmaz; Muzaffer Metintas
Journal:  Support Care Cancer       Date:  2020-10-30       Impact factor: 3.603

4.  A novel prognostic marker in patients with non-small cell lung cancer: musculo-immuno-nutritional score calculated by controlling nutritional status and creatine kinase.

Authors:  Shinkichi Takamori; Gouji Toyokawa; Mototsugu Shimokawa; Fumihiko Kinoshita; Yuka Kozuma; Taichi Matsubara; Naoki Haratake; Takaki Akamine; Fumihiko Hirai; Tetsuzo Tagawa; Yoshinao Oda; Yoshihiko Maehara
Journal:  J Thorac Dis       Date:  2019-03       Impact factor: 2.895

5.  The significant influence of having children on the postoperative prognosis of patients with nonsmall cell lung cancer: A propensity score-matched analysis.

Authors:  Shinkichi Takamori; Tetsuzo Tagawa; Gouji Toyokawa; Hiroki Ueo; Mototsugu Shimokawa; Fumihiko Kinoshita; Taichi Matsubara; Yuka Kozuma; Naoki Haratake; Takaki Akamine; Masakazu Katsura; Kazuki Takada; Fumihiko Hirai; Fumihiro Shoji; Tatsuro Okamoto; Yoshinao Oda; Yoshihiko Maehara
Journal:  Cancer Med       Date:  2018-05-29       Impact factor: 4.452

6.  Nutritional status according to the mini nutritional assessment (MNA)® as potential prognostic factor for health and treatment outcomes in patients with cancer - a systematic review.

Authors:  G Torbahn; T Strauss; C C Sieber; E Kiesswetter; D Volkert
Journal:  BMC Cancer       Date:  2020-06-26       Impact factor: 4.430

7.  Controlling Nutritional Status (CONUT) score is a prognostic factor in patients with resected breast cancer.

Authors:  Wen Li; Min Li; Ting Wang; Guangzhi Ma; Yunfu Deng; Dan Pu; Zhenkun Liu; Qiang Wu; Xuejuan Liu; Qinghua Zhou
Journal:  Sci Rep       Date:  2020-04-20       Impact factor: 4.379

8.  Prognostic impact of the Controlling Nutritional Status score in patients with non-small cell lung cancer treated with pembrolizumab.

Authors:  Taro Ohba; Shinkichi Takamori; Ryo Toyozawa; Kaname Nosaki; Yasuhiro Umeyama; Naoki Haratake; Naoko Miura; Masafumi Yamaguchi; Kenichi Taguchi; Takashi Seto; Mototsugu Shimokawa; Mitsuhiro Takenoyama
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

Review 9.  Perioperative anaesthetic management of patients undergoing thoracic cytoreductive surgery and HITHOC.

Authors:  Felipe Unigarro-Londoño; Ricard Navarro-Ripoll; David Sánchez-Lorente; Laureano Molins
Journal:  Ann Transl Med       Date:  2021-06

10.  Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention.

Authors:  Su-Chan Chen; Ya-Ling Yang; Cheng-Hsueh Wu; Shao-Sung Huang; Wan Leong Chan; Shing-Jong Lin; Chia-Yu Chou; Jaw-Wen Chen; Ju-Pin Pan; Min-Ji Charng; Ying-Hwa Chen; Tao-Cheng Wu; Tse-Min Lu; Pai-Feng Hsu; Po-Hsun Huang; Hao-Min Cheng; Chin-Chou Huang; Shih-Hsien Sung; Yenn-Jiang Lin; Hsin-Bang Leu
Journal:  Nutrients       Date:  2020-05-02       Impact factor: 5.717

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