Controlling nutritional status is a prognostic factor for patients with lung cancer: a systematic review and meta-analysis

Zhang, Chi; Li, Xiaokun; Cong, Zhuang‐Zhuang; Zheng, Chao; Luo, Chao; Xie, Kai; Xu, Yang; Gu, Wen-Feng; Qiang, Yong; Shen, Yi

doi:10.21037/apm-20-2328

Cited by 9 publications

(13 citation statements)

References 37 publications

(60 reference statements)

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“…And through the prognostic survival curve, we could see that the increase of miR-18a-5p and the decrease of ATM after treatment both predict an increased risk of prognostic death of patients, which was further verified by the subsequent COX analysis of the prognosis of patients, demonstrating the close relationship between miR-18a-5p, ATM, and the development of ESCC. TNM staging and lymph node metastasis, as the basis for the pathological development of tumor diseases, can naturally be expected to be related to the prognosis of ESCC [ 37 , 38 ], so this article will not go into details. The above results also suggested that miR-18a-5p and ATM may also be potential therapeutic targets for ESCC.…”

Section: Discussionmentioning

confidence: 99%

miR-18a-5p and ATM Expression in Esophageal Squamous Cell Carcinoma and Their Correlations with Clinicopathological Features

Fan

2022

Computational and Mathematical Methods in Medicine

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Objective. To investigate miR-18a-5p and ataxia telangiectasia muted (ATM) expression in esophageal squamous cell carcinoma (ESCC) and their correlations with clinicopathological features. Methods. The subjects of this study were 62 ESCC patients (research group, RG) and 57 healthy controls (control group, CG) presented to our hospital between July 2019 and April 2020. Peripheral blood (PB) miR-18a-5p and ATM levels in these participants were quantified via qRT-PCR, and the correlations of the two genes with ESCC patients’ clinicopathological characteristics were investigated. In addition, a two-year follow-up was performed on ESCC patients to understand their survival, so as to further determine the prognostic utility of miR-18a-5p and ATM in ESCC. Factors influencing patient outcomes were identified by COX analysis. Results. PB miR-18a-5p expression was higher in RG compared with CG, while ATM was lower, suggesting an inverse connection between the two genes in ESCC ( P < 0.001 ). miR-18a-5p and ATM levels were determined to be strongly linked to TNM stage, differentiation degree, and lymph node metastasis in ESCC patients ( P < 0.001 and P = 0.007 ). The patients who succumbed to the disease exhibited higher miR-18a-5p and lower ATM than the survival ( P < 0.05 ). ROC analysis suggested favorable evaluation effects of miR-18a-5p and ATM on the occurrence and prognostic death of ESCC ( P < 0.001 ). Further, these two genes were identified by the COX analysis to be factors independently affecting the prognosis of ESCC. Conclusion. miR-18a-5p is highly expressed in ESCC, and ATM is underexpressed, both of which are closely linked to the pathological process of ESCC and have a good evaluation effect on the occurrence and prognosis of ESCC, which may become a breakthrough in future diagnosis and treatment of ESCC.

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Section: Discussionmentioning

confidence: 99%

miR-18a-5p and ATM Expression in Esophageal Squamous Cell Carcinoma and Their Correlations with Clinicopathological Features

Fan

2022

Computational and Mathematical Methods in Medicine

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“…Several tools for assessing nutritional status have been developed, including the Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Mini Nutritional Assessment (MNA). These nutritional assessment tools showed prognostic value in patients with malignancy, CAD, heart failure and, peripheral arterial diseases ( 8 , 9 , 11 , 14 , 15 ).…”

Section: Introductionmentioning

confidence: 99%

“…The controlling Nutritional Status (CONUT) score has been reported to be a simple and efficient screening tool for evaluating malnutrition status, especially for early detection and ongoing monitoring of nutritional status in hospitalized patients ( 16 ). Current studies suggest that CONUT is associated with short- and long-term prognoses in some diseases ( 9 , 14 , 15 , 17 ). The CONUT score is calculated based on the parameters of serum albumin, total cholesterol and, total lymphocyte levels, consisting of an immune-nutritional index reflecting protein/lipid metabolism and immunocompetence ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

Arero

Mohammed

et al. 2022

Front. Nutr.

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BackgroundAs defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD).MethodsObservational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase.ResultsOf 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I2 = 0%), (1.53 [95% CI: 1.26–1.84], I2 = 84%), and (2.24 [95% CI: 1.57–3.19], I2 = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I2 = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I2 = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively.ConclusionAs defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes.

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“…The Controlling Nutritional Status (CONUT) score is a nutritional scoring tool that is calculated using serum albumin, total cholesterol level, and total lymphocyte count (7). Current studies suggest that CONUT is associated with short-and long-term prognoses in some diseases, particularly cancers (8)(9)(10)(11)(12)(13)(14). However, the predictive role of the CONUT score for in-hospital mortality in older adult inpatients has not been clearly established.…”

Section: Introductionmentioning

confidence: 99%

Controlling Nutritional Status Score as a Predictive Marker of In-hospital Mortality in Older Adult Patients

et al. 2021

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The controlling nutritional status (CONUT) score assesses nutritional status and is associated with short- and long-term prognoses in some diseases, but the significance of the CONUT score for the prediction of in-hospital mortality in older adults is unknown. The purpose was to determine the importance of the CONUT score for the prediction of in-hospital mortality, short-term complications, length of hospital stay, and hospital costs in older adults. Our retrospective cohort study analyzed data from 11,795 older adult patients from two multicenter cohort studies. We performed receiver operating characteristic curve analysis using in-hospital mortality as the endpoint and determined the appropriate CONUT score cut-off by the Youden index. The patients were divided into two high and low groups according to the CONUT cut-off value, and the differences in clinical characteristics and in-hospital clinical outcomes between the two groups were compared. We compared the accuracy of the CONUT score and other nutrition-related tools in predicting in-hospital mortality by calculating the area under the receiver operating characteristic curve and performed univariate and multivariate analyses of predictors of in-hospital mortality. Among all the patients, 178 (1.5%) patients experienced in-hospital death. The optimal cut-off values was 5.5 for the CONUT score. The high CONUT group had a higher incidence of short-term complications and prolonged hospital stay than the low CONUT group (CONUT score <6), but hospital costs were not significantly higher. The CONUT score had the highest predictive ability for in-hospital mortality among the five nutrition-related parameters compared. Multivariate analysis showed that a high CONUT score (CONUT score ≥ 6) was an independent predictor of in-hospital mortality. In conclusion, the present study demonstrated that the CONUT score could be used to predict in-hospital mortality in older adults.

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Controlling nutritional status is a prognostic factor for patients with lung cancer: a systematic review and meta-analysis

Cited by 9 publications

References 37 publications

miR-18a-5p and ATM Expression in Esophageal Squamous Cell Carcinoma and Their Correlations with Clinicopathological Features

miR-18a-5p and ATM Expression in Esophageal Squamous Cell Carcinoma and Their Correlations with Clinicopathological Features

Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

Controlling Nutritional Status Score as a Predictive Marker of In-hospital Mortality in Older Adult Patients

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