Literature DB >> 28389736

Preoperative Controlling Nutritional Status (CONUT) Score for Assessment of Prognosis Following Hepatectomy for Hepatocellular Carcinoma.

Kosei Takagi1, Takahito Yagi2, Yuzo Umeda1, Susumu Shinoura1, Ryuichi Yoshida1, Daisuke Nobuoka1, Takashi Kuise1, Hiroyuki Araki1, Toshiyoshi Fujiwara1.   

Abstract

BACKGROUND: Immune-nutritional status has been recently reported as a prognostic factor in hepatocellular carcinoma (HCC). The controlling nutritional status (CONUT) score has been established as a useful tool to evaluate immune-nutritional status. This study aimed to investigate the efficacy of the CONUT score as a prognostic factor in patients undergoing hepatectomy for HCC.
METHODS: A total of 295 patients who underwent curative hepatectomy for HCC between January 2007 and December 2014 were retrospectively analyzed. Patients were divided into two groups according to the CONUT score. The impact of the CONUT score on clinicopathological, surgical, and long-term outcomes was evaluated. Subsequently, the impact of prognostic factors, including the CONUT score, associated with outcomes was assessed using multivariate analyses.
RESULTS: Of 295 patients, 118 (40%) belonged to the high CONUT group (CONUT score ≥ 3). The high CONUT group had a significantly lower 5-year recurrence-free survival rate than the low CONUT group (27.9 vs. 41.4%, p = 0.011) and a significantly lower 5-year overall survival rate (61.9 vs. 74.9%, p = 0.006). In multivariate analyses of prognostic factors, the CONUT score was an independent predictor of recurrence-free survival (hazard ratio = 1.64, p = 0.006) and overall survival (hazard ratio = 2.50, p = 0.001).
CONCLUSIONS: The CONUT score is a valuable preoperative predictor of survival in patients undergoing hepatectomy for HCC.

Entities:  

Mesh:

Year:  2017        PMID: 28389736     DOI: 10.1007/s00268-017-3985-8

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  27 in total

1.  CONUT: a tool for controlling nutritional status. First validation in a hospital population.

Authors:  J Ignacio de Ulíbarri; A González-Madroño; N G P de Villar; P González; B González; A Mancha; F Rodríguez; G Fernández
Journal:  Nutr Hosp       Date:  2005 Jan-Feb       Impact factor: 1.057

2.  Preoperative neutrophil to lymphocyte ratio and prognostic nutritional index predict overall survival after hepatectomy for hepatocellular carcinoma.

Authors:  Yukiyasu Okamura; Ryo Ashida; Takaaki Ito; Teiichi Sugiura; Keita Mori; Katsuhiko Uesaka
Journal:  World J Surg       Date:  2015-06       Impact factor: 3.352

Review 3.  Nutritional screening; control of clinical undernutrition with analytical parameters.

Authors:  José Ignacio de Ulíbarri Pérez; Guillermo Fernández; Francisco Rodríguez Salvanés; Ana María Díaz López
Journal:  Nutr Hosp       Date:  2014-01-13       Impact factor: 1.057

Review 4.  A discussion of serum albumin level in advanced-stage hepatocellular carcinoma: a medical oncologist's perspective.

Authors:  Ozgur Tanriverdi
Journal:  Med Oncol       Date:  2014-10-15       Impact factor: 3.064

Review 5.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; Josep M Llovet; Jordi Bruix
Journal:  Lancet       Date:  2012-02-20       Impact factor: 79.321

6.  Prognosis of hepatocellular carcinoma: the BCLC staging classification.

Authors:  J M Llovet; C Brú; J Bruix
Journal:  Semin Liver Dis       Date:  1999       Impact factor: 6.115

Review 7.  Prognostic factors for hepatocellular carcinoma recurrence.

Authors:  Antonio Colecchia; Ramona Schiumerini; Alessandro Cucchetti; Matteo Cescon; Martina Taddia; Giovanni Marasco; Davide Festi
Journal:  World J Gastroenterol       Date:  2014-05-28       Impact factor: 5.742

8.  Recurrence after liver resection for hepatocellular carcinoma: risk factors, treatment, and outcomes.

Authors:  Shimul A Shah; Sean P Cleary; Alice C Wei; Ilun Yang; Bryce R Taylor; Alan W Hemming; Bernard Langer; David R Grant; Paul D Greig; Steven Gallinger
Journal:  Surgery       Date:  2006-11-01       Impact factor: 3.982

9.  Impaired function of CD4+ T follicular helper (Tfh) cells associated with hepatocellular carcinoma progression.

Authors:  Yiqiong Jia; Zhen Zeng; Yuanyuan Li; Zhiwei Li; Lei Jin; Zheng Zhang; Lifeng Wang; Fu-Sheng Wang
Journal:  PLoS One       Date:  2015-02-17       Impact factor: 3.240

10.  Impact of the Preoperative Controlling Nutritional Status (CONUT) Score on the Survival after Curative Surgery for Colorectal Cancer.

Authors:  Yasuhito Iseki; Masatsune Shibutani; Kiyoshi Maeda; Hisashi Nagahara; Hiroshi Ohtani; Kenji Sugano; Tetsuro Ikeya; Kazuya Muguruma; Hiroaki Tanaka; Takahiro Toyokawa; Katsunobu Sakurai; Kosei Hirakawa
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

View more
  22 in total

1.  Preoperative Controlling Nutritional Status plus Tumor Burden Score for the Assessment of Prognosis after Curative Liver Resection for Hepatocellular Carcinoma.

Authors:  Yasuyuki Fukami; Takuya Saito; Takaaki Osawa; Takashi Arikawa; Tatsuki Matsumura; Shintaro Kurahashi; Shunichiro Komatsu; Kenitiro Kaneko; Tsuyoshi Sano
Journal:  Med Princ Pract       Date:  2020-12-24       Impact factor: 1.927

2.  Preoperative Nutritional Assessment Using the Controlling Nutritional Status Score to Predict Pancreatic Fistula After Pancreaticoduodenectomy.

Authors:  Masashi Utsumi; Hideki Aoki; Seichi Nagahisa; Seitaro Nishimura; Yuta Une; Yuji Kimura; Fumitaka Taniguchi; Takashi Arata; Koh Katsuda; Kohji Tanakaya
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

3.  Low preoperative serum cholesterol level is associated with aggressive pathologic features and poor cancer-specific survival in patients with surgically treated renal cell carcinoma.

Authors:  Ho Won Kang; Sung Pil Seo; Won Tae Kim; Seok Joong Yun; Sang-Cheol Lee; Wun-Jae Kim; Eu Chang Hwang; Seok Ho Kang; Sung-Hoo Hong; Jinsoo Chung; Tae Gyun Kwon; Hyeon Hoe Kim; Cheol Kwak; Seok-Soo Byun; Yong-June Kim
Journal:  Int J Clin Oncol       Date:  2017-08-08       Impact factor: 3.402

4.  Prognostic significance of controlling nutritional status score-based nomogram for hepatocellular carcinoma within Milan criteria after radiofrequency ablation.

Authors:  Yi Yang; Feng Ye; Yujing Xin; Yanan Wang; Xiao Li; Duiping Feng; Yi Chen; Xiang Zhou
Journal:  J Gastrointest Oncol       Date:  2020-10

5.  Comparison of nutritional and immunological scoring systems predicting prognosis in T1-2N0 colorectal cancer.

Authors:  Guangzhe Pian; Seung Yeop Oh
Journal:  Int J Colorectal Dis       Date:  2021-10-07       Impact factor: 2.571

6.  Effect of enteral ecoimmunonutrition support for patients undergoing hepatectomy: A meta-analysis of randomized controlled trials.

Authors:  Xinrong Chen; Dan Wang; Shiqi Liang; Jie Yang; Ka Li
Journal:  Eur J Clin Nutr       Date:  2022-02-14       Impact factor: 4.884

7.  Preoperative predictive factors of pancreatic fistula after pancreaticoduodenectomy: usefulness of the CONUT score.

Authors:  Masashi Utsumi; Hideki Aoki; Seiichi Nagahisa; Seitaro Nishimura; Yuta Une; Yuji Kimura; Megumi Watanabe; Fumitaka Taniguchi; Takashi Arata; Koh Katsuda; Kohji Tanakaya
Journal:  Ann Surg Treat Res       Date:  2020-06-29       Impact factor: 1.859

Review 8.  Preoperative optimization for major hepatic resection.

Authors:  Sarah Walcott-Sapp; Kevin G Billingsley
Journal:  Langenbecks Arch Surg       Date:  2017-11-18       Impact factor: 3.445

9.  Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer.

Authors:  Jin Gu Lee; Ji Ye Jung; Sang Chul Lee; Sang Hoon Lee; Eun Young Kim; Joon Chang; Dae Joon Kim; Hyo Chae Paik; Kyung Young Chung
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

10.  Early postoperative controlling nutritional status (CONUT) score is associated with complication III-V after hepatectomy in hepatocellular carcinoma: A retrospective cohort study of 1,334 patients.

Authors:  Lei Li; Chang Liu; Jiayin Yang; Hong Wu; Tianfu Wen; Wentao Wang; Bo Li; Lvnan Yan
Journal:  Sci Rep       Date:  2018-09-07       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.