Prgnostic factors in lung cancer: is preoperative Geriatric Nutritional Risk Index an independent predictive factor?

Author(s):  
Beatriz Abascal Bolado ◽  
Laura Sanchez Moreno ◽  
Teresa Diaz De Teran Lopez ◽  
Pablo Lozano Cuesta ◽  
Victoria Maderuelo Garcia ◽  
...  
2022 ◽  
Author(s):  
Mao Xiaowei ◽  
Zhang Wei ◽  
Hu Fang ◽  
Niu Yanjie ◽  
Wang Qiang ◽  
...  

Abstract Background The relationship between immunonutritional status (eg. Prognostic nutritional index [PNI] and Controlling Nutritional Status [COUNT] score) and risk of postoperative pulmonary complications (PPCs) after surgical resection of lung cancer had reported before. However, another immunonutritional parameter- Geriatric Nutritional Risk Index (GNRI)-had never explored. Method To address this issue, in this study we retrospectively analyzed patients’ characteristics and PPCs in a cohort of lung cancer patients who were treated by surgical resection at our center. The clinical utility of patients’ characteristics for predicting PPCs was evaluated by receiver operating characteristic curve analysis and the Youden index. Univariate and multivariate analysis were applied to find the most important factors. Result A total of 128 patients met the inclusion criteria for this study. Significant differences in sex, GNRI, FEV1%, LY% were found between the PPC and non-PPC groups (all P<0.05). The difference in pathology between the 2 groups showed borderline statistical significance (P=0.052). We determined the best cutoff value of each parameter and calculated the corresponding sensitivity and specificity, and found that GNRI, FEV1% and LY% had similar diagnostic value. Multivariate analysis reveled GNRI, sex, LY% and FEV1% were filtered to be correlated to PPCs of elderly lung cancer patients received surgery therapy. Conclusion These results indicate that preoperative immunonutritional parameters of GNRI can be used to identify elderly lung cancer patients at risk of PPCs.


Surgery Today ◽  
2012 ◽  
Vol 43 (3) ◽  
pp. 276-283 ◽  
Author(s):  
Hiroji Shinkawa ◽  
Shigekazu Takemura ◽  
Takahiro Uenishi ◽  
Masayuki Sakae ◽  
Kazunori Ohata ◽  
...  

2021 ◽  
Author(s):  
Mao Xiaowei ◽  
Zhang Wei ◽  
Hu Fang ◽  
Niu Yanjie ◽  
Wang Qiang ◽  
...  

Abstract Background: The relationship between immunonutritional status (eg. Prognostic nutritional index [PNI] and Controlling Nutritional Status [COUNT] score) and risk of postoperative pulmonary complications (PPCs) after surgical resection of lung cancer had reported before. However, another immunonutritional parameter- Geriatric Nutritional Risk Index (GNRI)-had never explored.Method: To address this issue, in this study we retrospectively analyzed patients’ characteristics and PPCs in a cohort of lung cancer patients who were treated by surgical resection at our center. The clinical utility of patients’ characteristics for predicting PPCs was evaluated by receiver operating characteristic curve analysis and the Youden index. Univariate and multivariate analysis were applied to find the most important factors.Result: A total of 128 patients met the inclusion criteria for this study. Significant differences in sex, GNRI, FEV1%, LY% were found between the PPC and non-PPC groups (all P<0.05). The difference in pathology between the 2 groups showed borderline statistical significance (P=0.052). We determined the best cutoff value of each parameter and calculated the corresponding sensitivity and specificity, and found that GNRI, FEV1% and LY% had similar diagnostic value. Multivariate analysis reveled GNRI, sex, LY% and FEV1% were filtered to be correlated to PPCs of elderly lung cancer patients received surgery therapy.Conclusion: These results indicate that preoperative immunonutritional parameters of GNRI can be used to identify elderly lung cancer patients at risk of PPCs.


2020 ◽  
Vol 58 (4) ◽  
pp. 775-782 ◽  
Author(s):  
Haruaki Hino ◽  
Tomohito Saito ◽  
Hiroshi Matsui ◽  
Yohei Taniguchi ◽  
Tomohiro Murakawa

Abstract OBJECTIVES The Geriatric Nutritional Risk Index (GNRI) based on serum albumin and body weight helps predict the risk of malnutrition and mortality in hospitalized elderly patients. However, its significance for patients with malignancy is unclear. We analysed the ability of GNRI to assess this risk in patients with lung cancer undergoing surgery. METHODS We retrospectively analysed the clinical characteristics and surgical outcomes of 739 patients with primary lung cancer who underwent surgery from 2006 to 2017 in a single institution. RESULTS GNRI values were ≤98 for 112 patients and &gt;98 for 627 patients; 532 patients had pathological stage I disease, 114 patients had stage II disease and 93 patients had stage III disease. Cox proportional hazards models revealed that age, GNRI value ≤98 and stages II and III diseases (all Ps &lt; 0.05) were significant negative prognostic factors for overall survival and that carcinoembryonic antigen level (P = 0.03), GNRI value ≤98 (P = 0.005) and stages II and III diseases (both Ps &lt; 0.001) were significant negative prognostic factors for cancer-specific survival. Rates of overall survival and cancer-specific survival stratified by lower and higher GNRI score were significantly different among patients aged 70 and older (P = 0.001 and P = 0.004, respectively) but not among patients aged 69 and younger (P = 0.09 and P = 0.12, respectively). CONCLUSIONS GNRI could help in predicting survival after lung cancer surgery, especially in older patients, and perioperative active nutritional support might improve the survival.


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