The impact of the prognostic nutritional index (PNI) in gastric cancer

Nogueiro, Jorge; Santos‐Sousa, Hugo; Pereira, André Luiz; Devezas, Vítor; Fernandes, Cristina; Sousa, Filipa; Fonseca, Telma; Barbosa, Elisabete; Barbosa, José

doi:10.1007/s00423-022-02627-0

Cited by 33 publications

(22 citation statements)

References 26 publications

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“…PNI is used to assess the immune and nutritional status of patients and has been reported as a predictive marker of surgical prognosis in various types of cancer 39 . Studies have demonstrated that PNI can be used to predict KD from febrile patients 27 .…”

Section: Discussionmentioning

confidence: 99%

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Guo

Liao²,

Fan³

et al. 2023

Sci Rep

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Kawasaki disease (KD) is a febrile disease that affects children under 5 years of age and leads to serious cardiovascular complications such as coronary artery disease. The development of markers that can predict early is important to reduce the under- and misdiagnosis of KD. The aim of this research was to develop a diagnostic predictive model to differentiate Kawasaki disease (KD) from other febrile diseases using eosinophil-to-lymphocyte ratio (ELR) and other biomarkers. We recruited a total of 190 children with KD and 1604 children with other febrile diseases. We retrospectively collected clinical information from the children, which included laboratory data on the day of admission, such as white blood cells (WBC), hemoglobin (HGB), calcitoninogen (PCT), hypersensitive c-reactive protein (CRP), snake prognostic nutritional index (PNI), peripheral blood neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and ELR. We performed analyses using univariate analysis, multivariate logistic regression, and column line plots, and evaluated the diagnostic parameters of the predictive models. ELR was significantly increased in patients with KD. After multivariate logistic regression, WBC, HGB, CRP, NLR, ELR and PNI were finally included as indicators for constructing the prediction model. The ROC curve analysis suggested that the C-index of the diagnostic prediction model was 0.921. The calibration curve showed good diagnostic performance of the columnar graph model. The cut-off value of ELR alone for KD was 0.04, the area under the ROC curve was 0.809. Kids with KD show highly expressive level of ELR compared to children with febrile disease, which can be used to diagnose KD, and column line graphs constructed together with other indicators can help pediatricians to identify KD more effectively from febrile children.

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Section: Discussionmentioning

confidence: 99%

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Guo

Liao²,

Fan³

et al. 2023

Sci Rep

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“…[15][16][17] Nogueiro et al found that lower preoperative PNI values in patients with gastric cancer were an indicator of poorer postoperative prognosis, and patients with PNI < 41.625 had a higher mortality rate in the short postoperative period. 18,19 In recent years, breast cancer treatment is becoming more and more individualized, so it is especially important to make an accurate prognosis of various types of breast cancer before surgery. Serum albumin, the main component of plasma protein, can reflect the…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, numerous studies are shown that PNI can predict the prognosis of patients with gastric, and cervical nonsmall cell lung cancer 15–17 . Nogueiro et al found that lower preoperative PNI values in patients with gastric cancer were an indicator of poorer postoperative prognosis, and patients with PNI < 41.625 had a higher mortality rate in the short postoperative period 18,19 …”

Section: Discussionmentioning

confidence: 99%

Prognostic value of the preoperative prognostic nutritional index and systemic immuno‐inflammatory index in Chinese breast cancer patients: A clinical retrospective cohort study

Sun

Wang

2023

Journal of Surgical Oncology

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Background It has been shown that peripheral blood inflammatory factor ratios correlate with the prognosis of various malignancies. Although indicative of prognosis in some tumors, its value for prognosis in breast cancer patients is unclear. Methods The clinical data of breast cancer patients diagnosed with breast cancer in the Second Hospital of Jilin University from January 1, 2013, to December 31, 2017, were retrospectively analyzed. The prognostic nutritional index (PNI) optimal cutoff values of the subjects' operating characteristic curves divided the patients into a low PNI group (≤51.05) and a high PNI group (>51.05). Correlations between breast cancer and PNI clinicopathological variables were determined by the χ2 test or Fisher exact test. Kaplan–Meier plots and log‐rank tests were used to assess clinical outcomes in terms of disease‐free survival (DFS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional risk regression models. Results The best cutoff value for predicting DFS by pretreatment PNI was 51.05 and the Youden index when was 0.416, with a sensitivity of 71.4% and specificity of 70.2%. Univariate analysis showed that PNI ≤ 51.05, human epidermal growth factor receptor‐2 (HER‐2) positivity, and the number of lymph node metastases >4 were risk factors affecting DFS in invasive breast cancer (p < 0.05). Cox multifactor analysis showed that PNI and lymph node status were the most important factors affecting the prognosis of invasive breast cancer. Neutrophils‐to‐lymphocytes ratio and platelets‐to‐lymphocytes ratio were not significantly correlated with patient prognosis (p > 0.05). Conclusion Preoperative peripheral blood PNI in patients with invasive breast cancer are independent risk factors affecting patients' prognosis, they are positively correlated with prognosis and can be used as indicators to assess prognosis. PNI, HER‐2, and lymph node status had the best predictive efficacy with the area under the curve = 0.816 (95% confidence interval: 0.680–0.951, p < 0.001).

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“…Increasing evidence has demonstrated that systemic in ammatory or nutrition-based biomarkers, including the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and prognostic nutritional index (PNI), are associated with the prognosis of gastrointestinal cancers (5)(6)(7)(8)(9). We have also introduced PNI as a candidate for predicting overall survival in elderly GC patients who are 80 years old or older after curative gastrectomy in a previous report (10).…”

Section: Introductionmentioning

confidence: 99%

Low prognostic nutrition index is a biomarker for survival in elderly patients with early gastric cancer after gastrectomy

Takahashi

Kikuchi

Maeda

et al. 2023

Preprint

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Purpose Non-invasive biomarkers are useful in determining treatment strategies for elderly patients with early gastric cancer (EGC). The systemic inflammatory or nutrition-based index including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) lymphocyte to monocyte ratio (LMR), and prognostic nutritional index (PNI) are useful for the assessment of prognosis for various cancers. The aim of this study was to investigate the significance of these index for predicting the long-term survival of EGC patients who were 80 years old or older. Methods This study included 80 elderly EGC patients with pStage IA after gastrectomy. The optimal cutoff value for the PNI, NLR, PLR and LMR were set by using a receiver operating curve analysis. The long-term outcomes after gastrectomy were analyzed by univariate and multivariate Cox regression analyses. Results The cutoff value for the PNI, NLR, PLR and LMR was set at 46.5, 2.8, 210 and 4.6, respectively. By univariate analyses, the low PNI, high NLR, high PLR and low LMR were significantly associated with worse OS. By multivariate analysis, only low PNI was confirmed as an independent prognostic factor for OS after gastrectomy (HR 0.17; 95% CI 0.03–0.91; P = 0.04). The 5-year overall survival rate of patients with the low PNI (≤ 46.5) were only 52.4%. Conclusion The low PNI (≤ 46.5) is a significant worse prognostic factor after gastrectomy for the elderly EGC patients with pStage IA. Gastrectomy for the elderly EGC patients with the low PNI might need to be carefully considered for its indications.

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The impact of the prognostic nutritional index (PNI) in gastric cancer

Cited by 33 publications

References 26 publications

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Exploring the diagnostic value of eosinophil-to-lymphocyte ratio to differentiate Kawasaki disease from other febrile diseases based on clinical prediction model

Prognostic value of the preoperative prognostic nutritional index and systemic immuno‐inflammatory index in Chinese breast cancer patients: A clinical retrospective cohort study

Low prognostic nutrition index is a biomarker for survival in elderly patients with early gastric cancer after gastrectomy

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