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Objective:To investigate the prognostic value of Onodera's prognostic nutrition index (PNI) before treatment in patients with cervical and upper thoracic esophageal squamous cell carcinoma (CUTESCC) undergoing definitive chemoradiotherapy (dCRT) and its predictive value in the occurrence of ≥ grade 2 radiation esophagitis (RE).Methods:The data of 163 CUTESCC patients eligible for inclusion criteria admitted to the Fourth Hospital of Hebei Medical University from January 2012 to December 2017 were retrospectively analyzed. The receiver operating characteristic (ROC) curve was used to calculate the best cut-off value of PNI for predicting the prognosis of patients. The prognosis of patients was analyzed by univariate and Cox multivariate analyses. Logistics binary regression model was adopted to analyze the risk factors of ≥ grade 2 RE in univariate and multivariate analyses. The significant factors in logistic multivariate analysis were used to construct nomogram for predicting ≥ grade 2 RE.Results:The optimal cut-off value of PNI was 48.57 [area under the curve (AUC): 0.653, P<0.001]. The median overall survival (OS) and progression-free survival (PFS) were 26.1 and 19.4 months, respectively. The OS ( χ2=6.900, P=0.009) and PFS ( χ2=9.902, P=0.003) of patients in the PNI ≥ 48.57 group ( n=47) were significantly better than those in the PNI < 48.57 group ( n=116). Cox multivariate analysis showed that cTNM stage and PNI were the independent predictors of OS ( HR=1.513, 95% CI: 1.193-1.920, P=0.001; HR=1.807, 95% CI: 1.164-2.807, P=0.008) and PFS ( HR=1.595, 95% CI: 1.247-2.039, P<0.001; HR=2.260, 95% CI: 1.439-3.550, P<0.001). Short-term efficacy was another independent index affecting PFS ( HR=2.072, 95% CI: 1.072-4.003, P=0.030). Logistic multivariate analysis showed that the maximum transverse diameter of the lesion ( OR=3.026, 95% CI: 1.266-7.229, P=0.013), gross tumor volume (GTV) ( OR=3.456, 95% CI: 1.373-8.699, P=0.008), prescription dose ( OR=3.124, 95% CI: 1.346-7.246, P=0.009) and PNI ( OR=2.072, 95% CI: 1.072-4.003, P=0.030) were the independent factors affecting the occurrence of ≥ grade 2 RE. These four indicators were included in the nomogram model, and ROC curve analysis showed that the model could properly predict the occurrence of ≥ grade 2 RE (AUC=0.686, 95% CI: 0.585-0.787). The calibration curve indicated that the actually observed values were in good agreement with the predicted RE. Decision curve analysis (DCA) demonstrated satisfactory nomogram positive net returns in most threshold probabilities. Conclusions:PNI before treatment is an independent prognostic factor for patients with CUTESCC who received definitive chemoradiotherapy. The maximum transverse diameter of the lesion, GTV, prescription dose and PNI are the risk factors for ≥ grade 2 RE in this cohort. Establishing a prediction model including these factors has greater predictive value.
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OBJECTIVE@#To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).@*METHODS@#A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s t test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model.@*RESULTS@#According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (P < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS (P < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS (P < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (HR=0.9, 95%CI=0.828-0.978, P=0.013) or a classified variable (HR=2.397, 95%CI=1.061-5.418, P=0.036).@*CONCLUSION@#Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.
Subject(s)
Humans , Prognosis , Nutrition Assessment , Carcinoma, Renal Cell/surgery , Retrospective Studies , Biomarkers , Kidney Neoplasms/pathologyABSTRACT
Onodera prognostic nutrition index (OPNI) is a simple and effective parameter. It is calculated by serum albumin level and peripheral blood lymphocyte count. Initially, OPNI is used to assess preoperative nutritional status and surgical risk. In recent years, researchers have found that OPNI is related to the prognosis of many tumors. Simple and accurate prognosis evaluation can help to select treatment methods for digestive system malignant tumors, determine the best pre-operative treatment time and operation time, and improve the survival rate of patients with diges-tive system malignant tumors. The authors review the related literatures at home and abroad, and summarize the research advances in the prognostic value of OPNI for malignant tumors of digestive systems.
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Objective: To investigate the prognostic value of prognostic nutritional index (PNI) in patients with diffuse large B-cell lym-phoma (DLBCL). Methods: We retrospectively reviewed the medical records of 82 patients with DLBCL treated at Tianjin Union Medi-cal Center between June 2010 and June 2016. The optimal cutoff value of PNI was determined using a receiver operating characteristic (ROC) curve and the Youden index. The relationship of high and low PNI with the clinical characteristics of the patients, therapeutic ef-ficacy, and prognosis were analyzed. Results: Overall, mean PNI of the patients was 46.17±8.8. When the PNI was 44.15, the Youden in-dex was found to be maximal, with a sensitivity of 74.6% and specificity of 67.2%. There were 38 patients (46.3%) in the low PNI group (<44.15) and 44 patients (53.7%) in the high PNI group (≥44.15). Data analysis showed that PNI was correlated with Eastern Coopera-tive Oncology Group performance status (ECOG PS), Ann Arbor stage, international prognostic index (IPI) score, and lactic acid dehydro-genase (LDH) level (P<0.05). The total effective rate of the low PNI group was significantly lower than that of the high PNI group (65.8% vs. 86.4%; χ2=4.848; P=0.028). The 3-year overall survival (OS) rate of the entire group of patients was 69.1%. The 1-, 2-, and 3-year OS rates of the low PNI group (86.8%, 67.8%, and 56.9%, respectively) were significantly lower than that of the high PNI group (96.7%, 89.5%, and 80.2%, respectively; χ2=9.421, P=0.002). Univariate analysis showed that PNI<44.15, ECOG PS≥2, IPI>2, stageⅢ/Ⅳ, and lymphocyte count<1.0×109/L had a significant impact on predicting OS (P<0.05). Multivariate analysis showed that PNI<44.15 (P=0.006) and stageⅢ/Ⅳ(P=0.011) were independent factors for predicting OS. Conclusions: PNI might be used as a simple and feasible clinical prognostic indicator in patients with DLBCL.
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Objective To explore the clinical application value of prognostic nutritional index (PNI)for predicting overall survival(OS)in patients with advanced colorectal cancer.Methods Seventy-two patients with histologically confirmed colorectal cancer were enrolled in this study, and their clinical and laboratory data were reviewed.The PNI was calculated, and univariate and multivariate analysis was used to identify the potential prognostic factors for advanced colorectal cancer. Results PNI of the 72 colorectal cancer patients was 45.07 ± 5.98.PNI was significantly associated with age, weight loss and pleural effusion (P < 0.05). However, PNI showed no correlation with sex, clinical stage, smoking, bloody stool, abdominal mass, intestinal obstruction, histological type, radiotherapy and KPS scores (P>0.05).The median OS of the 72 patients was 12.9 months.The medium OS in the higher PNI group (PNI≥45.07)and lower PNI group(PNI≤45.07)was 15.7 months and 11.2 months, respectively.The 1-year survival rates were 78.4% and 60.5%, and 2-year survival rates were 53.1% and 20.8%, respectively(P<0.01).Univariate analysis showed that PNI, ages, and weight loss were related to the OS of the advanced colorectal cancer(P<0.05).Multivariate analysis identified PNI was an independent prognostic factor for OS of advanced colorectal cancer (P < 0.01). Conclusions PNI can be easily calculated, and may be used as a relatively new prognostic indicator for advanced colorectal cancer in clinical practice.
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Objective:To retrospectively evaluate the prognostic risk factors of patients with gallbladder carcinoma and the effect of normal prognostic nutrition index (PNI) on the survival. Methods:We retrospectively analyzed 63 patients with gallbladder carcino-ma treated in our hospital between January 2008 and December 2012. The independent prognostic factors of the patients were calculat-ed by the Cox proportional hazards model. The benefit of normal PNI status on the prognosis was further explored in the patients using survival analysis. Results:Lymph node metastasis, PNI≤50, squamous carcinoma, liver invasion and choledoch invasion were the risk factors of overall survival (OS) in the univariate analysis, while only lymph node metastasis (HR=4.495, 95%CI 2.380~8.488, P65y) (younger group:P=0.011;elder group:P=0.078). Conclusion:The gallbladder carcinoma patients with normal PNI status (>50) have better OS compared to the patients with PNI≤50, with statistical differences between the two. And it is more significant in the patients of the younger group (≤65y), comparing with the elder group. PNI could be taken as a potential prognostic evaluation factor for the gallbladder carcinoma patients and can provide a more comprehensive evaluation of patients' conditions to clinician.