scholarly journals Prognostic nutritional index (PNI) is an independent prognostic factor in locoregionally advanced squamous cell head and neck cancer (LAHNSCC)

2017 ◽  
Vol 28 ◽  
pp. v389 ◽  
Author(s):  
G. Bruixola ◽  
J. Caballero ◽  
F. Papaccio ◽  
A. Petrillo ◽  
M. Pastor ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Prognostic Factor ◽  
Head And Neck ◽  
Neck Cancer ◽  
Squamous Cell ◽  
Prognostic Nutritional Index ◽  
Independent Prognostic Factor ◽  
Nutritional Index

scholarly journals Prognostic Nutritional Index as an independent prognostic factor in locoregionally advanced squamous cell head and neck cancer

ESMO Open ◽  
2018 ◽  
Vol 3 (6) ◽  
pp. e000425 ◽  
Author(s):  
Gema Bruixola ◽  
Javier Caballero ◽  
Federica Papaccio ◽  
Angelica Petrillo ◽  
Aina Iranzo ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Prognostic Factor ◽  
Head And Neck ◽  
Squamous Cell ◽  
Validation Cohort ◽  
Prognostic Nutritional Index ◽  
Training Cohort ◽  
Lymphocyte Ratio ◽  
Nutritional Index

BackgroundLocally advanced head and neck squamous cell carcinoma (LAHNSCC) is a heterogeneous disease in which better predictive and prognostic factors are needed. Apart from TNM stage, both systemic inflammation and poor nutritional status have a negative impact on survival.MethodsWe retrospectively analysed two independent cohorts of a total of 145 patients with LAHNSCC treated with induction chemotherapy followed by concurrent chemoradiotherapy at two different academic institutions. Full clinical data, including the Prognostic Nutritional Index (PNI), neutrophil to lymphocyte ratio and derived neutrophil to lymphocyte ratio, were analysed in a training cohort of 50 patients. Receiver operating characteristic curve analysis was used to establish optimal cut-off. Univariate and multivariate analyses of prognostic factors for overall survival (OS) were performed. Independent predictors of OS identified in multivariate analysis were confirmed in a validation cohort of 95 patients.ResultsIn the univariate analysis, low PNI (PNI<45) (p=0.001), large primary tumour (T4) (p=0.044) and advanced lymph node disease (N2b-N3) (p=0.025) were significantly associated with poorer OS in the validation cohort. The independent prognostic factors in the multivariate analysis for OS identified in the training cohort were dRNL (p=0.030) and PNI (p=0.042). In the validation cohort, only the PNI remained as independent prognostic factor (p=0.007).ConclusionsPNI is a readily available, independent prognostic biomarker for OS in LAHNSCC. Adding PNI to tumour staging could improve individual risk stratification of patients with LAHNSCC in future clinical trials.

Pretreatment count of peripheral neutrophils, monocytes, and lymphocytes as independent prognostic factor in patients with head and neck cancer

Head & Neck ◽  
2016 ◽  
Vol 39 (2) ◽  
pp. 219-226 ◽  
Author(s):  
Cristina Valero ◽  
Laura Pardo ◽  
Montserrat López ◽  
Jacinto García ◽  
Mercedes Camacho ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Prognostic Factor ◽  
Head And Neck ◽  
Neck Cancer ◽  
Independent Prognostic Factor ◽  
Monocytes And Lymphocytes

scholarly journals Prognostic Nutritional Index Predicts Toxicity in Head and Neck Cancer Patients Treated with Definitive Radiotherapy in Association with Chemotherapy

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1277
Author(s):  
Giuseppe Fanetti ◽  
Jerry Polesel ◽  
Elisabetta Fratta ◽  
Elena Muraro ◽  
Valentina Lupato ◽  
...  
Keyword(s):  
Weight Loss ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Prognostic Nutritional Index ◽  
Late Toxicity ◽  
Cox Proportional Hazards Model ◽  
Definitive Radiotherapy ◽  
Nutritional Index

Background: The Prognostic Nutritional Index (PNI) is a parameter of nutritional and inflammation status related to toxicity in cancer treatment. Since data for head and neck cancer are scanty, this study aims to investigate the association between PNI and acute and late toxicity for this malignancy. Methods: A retrospective cohort of 179 head and neck cancer patients treated with definitive radiotherapy with induction/concurrent chemotherapy was followed-up (median follow-up: 38 months) for toxicity and vital status between 2010 and 2017. PNI was calculated according to Onodera formula and low/high PNI levels were defined according to median value. Odds ratio (OR) for acute toxicity were calculated through logistic regression model; hazard ratios (HR) for late toxicity and survival were calculated through the Cox proportional hazards model. Results: median PNI was 50.0 (interquartile range: 45.5–53.5). Low PNI was associated with higher risk of weight loss > 10% during treatment (OR = 4.84, 95% CI: 1.73–13.53 for PNI < 50 versus PNI ≥ 50), which was in turn significantly associated with worse overall survival, and higher risk of late mucositis (HR = 1.84; 95% CI:1.09–3.12). PNI predicts acute weight loss >10% and late mucositis. Conclusions: PNI could help clinicians to identify patients undergoing radiotherapy who are at high risk of acute and late toxicity.

scholarly journals Pretreatment prognostic nutritional index as a prognostic marker in head and neck cancer: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chih-Wei Luan ◽  
Yao-Te Tsai ◽  
Hsin-Yi Yang ◽  
Kuan-Yin Chen ◽  
Po-Hsien Chen ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Predictive Value ◽  
Meta Analysis ◽  
Prognostic Nutritional Index ◽  
Cochrane Library ◽  
Cancer Site ◽  
Free Survival ◽  
Nutritional Index

AbstractThe predictive value of the pretreatment prognostic nutritional index (PNI) for head and neck cancer (HNC) remains controversial. We conducted a meta-analysis to assess the predictive value of PNI in HNC patients. A systematic search through internet databases including PubMed, Embase, and Cochrane Library for qualified studies estimating the association of PNI with HNC patient survival was performed. Overall survival (OS), progression-free survival (PFS), disease-specific survival (DSS), disease-free survival (DFS) and distant metastasis-free survival (DMFS) data were collected and evaluated. A random-effects model was used to calculate the pooled hazard ratios (pHRs) and corresponding 95% confidence intervals (CIs). A total of 7815 HNC patients from 14 eligible studies were involved. Pooled analysis showed that low pretreatment PNI was correlated with poor OS (pHR: 1.93, 95% CI 1.62–2.30, p < 0.001), PFS (pHR: 1.51, 95% CI 1.19–1.92, p = 0.008), DSS (pHR: 1.98, 95% CI 1.12–3.50, p < 0.001), DFS (pHR: 2.20, 95% CI 1.66–2.91, p < 0.001) and DMFS (pHR: 2.04, 95% CI 1.74–2.38, p < 0.001). Furthermore, low pretreatment PNI was correlated with poor OS despite variations in the cancer site, sample size, PNI cut-off value, analysis method (multivariate analysis or univariate analysis) and treatment modality in subgroup analysis. Elevated pretreatment PNI is correlated with a superior prognosis in HNC patients and could be used as a biomarker in clinical practice for prognosis prediction and treatment stratification.

scholarly journals Protein Intake, Prognostic Nutritional Index and Quality of Life in Head and Neck Cancer Patients Undergoing Radiotherapy

2019 ◽  
Vol 11 (1) ◽  
pp. 70-7
Author(s):  
Andry Kelvianto ◽  
Fiastuti Witjaksono ◽  
Sri Mutya Sekarutami
Keyword(s):  
Quality Of Life ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Protein Intake ◽  
Prognostic Nutritional Index ◽  
Nutritional Index ◽  
Eortc Quality

BACKGROUND: It has not been well understood whether the quality and quantity of protein intake could affect the quality of life. Quality of life is associated with nutritional status, but the usage of prognostic nutritional index (PNI) to reflect quality of life of head and neck cancer patients undergoing radiotherapy also still has not been widely studied.METHODS: A cross sectional study was performed in 61 head and neck cancer patient undergoing radiotherapy. The quantity and quality of protein intake were obtained using semiquantitative food frequency questionnaire (FFQ) which was analized by analyzed using Nutrisurvey 2007, PNI was obtained using a calculation of Onodera’s formula based on laboratory data of serum albumin and total lymphocyte count (TLC), and domains of quality of life were obtained from the interview of European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Core Questionnaire (QLQ-C30) and EORTC Quality of Life Head and Neck module (QLQ-H&N35) and then calculated to get each domain’s score on quality of life.RESULTS: Patient’s median of total protein intake was 1.42 (0.26-4.11) g/kg/day. The median of PNI was 45.9 (29.4- 54.2). Quantity of protein intake was significantly correlated with several symptoms domain of quality of life. PNI was also significantly correlated with one functional domain and two symptom domains of quality of life. This study did not show a significant correlation between quantity and quality of protein intake with PNI.CONCLUSION: PNI has the potential to reflect quality of life of head and neck cancer patients. Future studies might be beneficial to show the usage of PNI to reflect quality of life, especially involving the progressivity of quality of life.KEYWORDS: animal protein, chemoradiotherapy, cachexia, quality of life

scholarly journals Pretreatment lymphocyte-to-monocyte ratio as an independent prognostic factor for head and neck cancer

Head & Neck ◽  
2016 ◽  
Vol 39 (2) ◽  
pp. 247-253 ◽  
Author(s):  
Satoshi Kano ◽  
Akihiro Homma ◽  
Hiromitsu Hatakeyama ◽  
Takatsugu Mizumachi ◽  
Tomohiro Sakashita ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Prognostic Factor ◽  
Head And Neck ◽  
Neck Cancer ◽  
Independent Prognostic Factor ◽  
Lymphocyte To Monocyte Ratio
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