Association of systemic inflammation and body mass index with survival in patients with resectable gastric or gastroesophageal junction adenocarcinomas

Gao, Xintao; Pan, Yanan; Han, Wei; Hu, Caie; Wang, Chenchen; Chen, Ling; Guo, Yong; Shi, Yupeng; Pan, Yan; Xie, Hui; Yao, Liping; Yang, Jianjun; Zheng, Jun; Li, Xiaohua; Liu, Xiaonan; Hong, Liu; Li, Jipeng; Li, Mengbin; Ji, Gang; Li, Zengshan; Xia, Jielai; Zhao, Qingchuan; Fan, Daiming; Wu, Kaichun; Nie, Yongzhan

doi:10.20892/j.issn.2095-3941.2020.0246

Cited by 20 publications

(18 citation statements)

References 46 publications

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“…BMI is one of the common standards used to measure the degree of obesity and health, which can reflect the nutritional status of the body. Research in China has revealed that a decrease in preoperative BMI is significantly associated with poor postoperative survival outcomes in patients with gastric cancer or adenocarcinoma of the gastroesophageal junction ( 39 ). In another cohort study of 615 patients with ESCC who underwent esophagectomy or chemoradiotherapy, a high BMI before treatment was found to be an independent prognostic factor for long-term survival ( 40 ), which was similar to the present results.…”

Section: Discussionmentioning

confidence: 99%

Predictive value of nutritional indicators with regard to the survival outcomes in patients with metastatic esophageal squamous cell carcinoma treated with camrelizumab

Liu

Zhai

et al. 2023

Oncol Lett

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Nutritional indicators have been implicated in the survival outcomes of various malignant tumors. However, there are few studies on the association between nutritional indicators and immunotherapy for esophageal cancer. The present study aimed to explore the value of nutritional indicators with regard to the survival outcomes in patients with metastatic esophageal squamous cell carcinoma (ESCC) treated with camrelizumab. A retrospective cohort analysis of 158 metastatic ESCC patients treated with camrelizumab in The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University (Xinghua, China) between September 2019 and July 2022 was conducted. A receiver operating characteristic curve was used to determine the optimal cut-off values of prognostic nutritional index (PNI) and albumin (ALB). The cut-off value for body mass index (BMI) was set at the normal lower limit (18.5 kg/m 2 ). Progression-free survival (PFS) and overall survival (OS) were evaluated using the Kaplan-Meier method, and the differences in PFS or OS between groups were compared using the log-rank test. The prognostic value of each variable was analyzed based on the univariate and multivariate Cox proportional hazards regression models. The optimal cutoff values of PNI, ALB and BMI were 41.35, 36.8 g/l and 18.5 kg/m 2 , respectively. Lower PNI, ALB and BMI were closely associated with shorter PFS [hazard ratio (HR) for PNI, 3.599; P<0.001; HR for ALB, 4.148; P<0.001; HR for BMI, 5.623; P<0.001) and OS (HR for PNI, 7.605; P<0.001; HR for ALB, 7.852; P<0.001; HR for BMI, 7.915; P<0.001) times. Univariate and multivariate Cox regression analyses indicated that lower PNI, ALB and BMI were independent risk factors of PFS and OS in patients with metastatic ESCC receiving camrelizumab treatment. In conclusion, PNI, ALB and BMI are promising predictive indicators to assess the survival outcomes in patients with metastatic ESCC treated with camrelizumab. Moreover, PNI, ALB and BMI may have prognostic significance in these patients.

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Section: Discussionmentioning

confidence: 99%

Predictive value of nutritional indicators with regard to the survival outcomes in patients with metastatic esophageal squamous cell carcinoma treated with camrelizumab

Liu

Zhai

et al. 2023

Oncol Lett

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“…The SII, based on peripheral blood platelets, lymphocytes and neutrophils, more comprehensively reflects the immune state and the dynamic balance between host inflammatory process. Consequently, it has been found to provide better, more comprehensive predictions of prognosis in many types of cancer (17)(18)(19). However, the SII has not been validated in patients with TBI.…”

Section: Introductionmentioning

confidence: 99%

Systemic immune inflammation index and peripheral blood carbon dioxide concentration at admission predict poor prognosis in patients with severe traumatic brain injury

et al. 2023

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BackgroundRecent studies have shown that systemic inflammation responses and hyperventilation are associated with poor outcomes in patients with severe traumatic brain injury (TBI). The aim of this retrospective study was to investigate the relationships between the systemic immune inflammation index (SII = platelet × neutrophil/lymphocyte) and peripheral blood CO2 concentration at admission with the Glasgow Outcome Score (GOS) at 6 months after discharge in patients with severe TBI.MethodsWe retrospectively analyzed the clinical data for 1266 patients with severe TBI at three large medical centers from January 2016 to December 2021, and recorded the GOS 6 months after discharge. The receiver operating characteristic (ROC) curve was used to determine the best cutoff values for SII, CO2, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR), and chi-square tests were used to evaluate the relationships among SII, CO2 and the basic clinical characteristics of patients with TBI. Multivariate logistic regression analysis was used to determine the independent prognostic factors for GOS in patients with severe TBI. Finally, ROC curve, nomogram, calibration curve and decision curve analyses were used to evaluate the value of SII and coSII-CO2 in predicting the prognosis of patients with severe TBI. And we used the multifactor regression analysis method to build the CRASH model and the IMPACT model. The CRASH model included age, GCS score (GCS, Glasgow Coma Scale) and Pupillary reflex to light: one, both, none. The IMPACT model includes age, motor score and Pupillary reflex to light: one, both, none.ResultsThe ROC curves indicated that the best cutoff values of SII, CO2, PLR, NLR and LMR were 2651.43×109, 22.15mmol/L, 190.98×109, 9.66×109 and 1.5×109, respectively. The GOS at 6 months after discharge of patients with high SII and low CO2 were significantly poorer than those with low SII and high CO2. Multivariate logistic regression analysis revealed that age, systolic blood pressure (SBP), pupil size, subarachnoid hemorrhage (SAH), SII, PLR, serum potassium concentration [K+], serum calcium concentration [Ca2+], international normalized ratio (INR), C-reactive protein (CRP) and co-systemic immune inflammation index combined with carbon dioxide (coSII-CO2) (P < 0.001) were independent prognostic factors for GOS in patients with severe TBI. In the training group, the C-index was 0.837 with SII and 0.860 with coSII-CO2. In the external validation group, the C-index was 0.907 with SII and 0.916 with coSII-CO2. Decision curve analysis confirmed a superior net clinical benefit with coSII-CO2 rather than SII in most cases. Furthermore, the calibration curve for the probability of GOS 6 months after discharge showed better agreement with the observed results when based on the coSII-CO2 rather than the SII nomogram. According to machine learning, coSII-CO2 ranked first in importance and was followed by pupil size, then SII.ConclusionsSII and CO2 have better predictive performance than NLR, PLR and LMR. SII and CO2 can be used as new, accurate and objective clinical predictors, and coSII-CO2, based on combining SII with CO2, can be used to improve the accuracy of GOS prediction in patients with TBI 6 months after discharge.

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“…In cancer patients, the nutritional status of the body is also closely associated with tumor development and clinical outcome. Some common nutritional indicators have been shown to have a high prognostic significance in cancer, such as body mass index (BMI) [ 10 ] and serum albumin level [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

The prognostic value of the advanced lung cancer inflammation index in patients with gastrointestinal malignancy

et al. 2023

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Background Systemic inflammation is crucial for the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is considered to be a better indicator of systemic inflammation than current biomarkers. However, the prognostic value of the ALI in gastrointestinal neoplasms remains unclear. We performed the first meta-analysis to explore the association between ALI and gastrointestinal oncologic outcomes to help physicians better evaluate the prognosis of those patients. Methods Eligible articles were retrieved using PubMed, the Cochrane Library, EMBASE, and Google Scholar by December 29, 2022. Clinical outcomes were overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), and cancer-specific survival (CSS). Results A total of 18 articles with 6898 patients were included in this meta-analysis. The pooled results demonstrated that a low ALI was correlated with poor OS (HR = 1.914, 95% CI: 1.514–2.419, P < 0.001), DFS (HR = 1.631, 95% CI: 1.197–2.224, P = 0.002), and PFS (HR = 1.679, 95% CI: 1.073–2.628, P = 0.023) of patients with gastrointestinal cancers. Subgroup analysis revealed that a low ALI was associated with shorter OS (HR = 2.279, 95% CI: 1.769–2.935, P < 0.001) and DFS (HR = 1.631, 95% CI: 1.197–2.224, P = 0.002), and PFS (HR = 1.911, 95% CI: 1.517–2.408, P = 0.002) of patients with colorectal cancer. However, the ALI was not related to CSS in the patients with gastrointestinal malignancy (HR = 1.121, 95% CI: 0.694–1.812, P = 0.640). Sensitivity analysis supported the stability and dependability of the above results. Conclusion The pre-treatment ALI was a useful predictor of prognosis in patients with gastrointestinal cancers.

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Association of systemic inflammation and body mass index with survival in patients with resectable gastric or gastroesophageal junction adenocarcinomas

Cited by 20 publications

References 46 publications

Predictive value of nutritional indicators with regard to the survival outcomes in patients with metastatic esophageal squamous cell carcinoma treated with camrelizumab

Predictive value of nutritional indicators with regard to the survival outcomes in patients with metastatic esophageal squamous cell carcinoma treated with camrelizumab

Systemic immune inflammation index and peripheral blood carbon dioxide concentration at admission predict poor prognosis in patients with severe traumatic brain injury

The prognostic value of the advanced lung cancer inflammation index in patients with gastrointestinal malignancy

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