The predictive value of prognostic nutritional index for the severity of coronavirus disease 2019

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.

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Predictive value of prognostic nutritional index and systemic immune‐inflammation index on tumor progression in bladder cancer patients with after radical cystectomy

10.21203/rs.3.rs-47624/v1 ◽

2020 ◽

Author(s):

Jiatong Zhou ◽

Xitong Xu ◽

RanLu Liu

Keyword(s):

Bladder Cancer ◽

Radical Cystectomy ◽

Predictive Value ◽

Cox Regression ◽

Prognostic Nutritional Index ◽

Invasive Bladder Cancer ◽

Muscle Invasive Bladder Cancer ◽

Nutritional Index ◽

Immune Inflammation ◽

Muscle Invasive

Abstract OBJECTIVES: The purpose of this study was to explore the predictive value of preoperative prognostic nutritional index(PNI) and systemic immune‐inflammation index(SII) for local tumor stage in bladder cancer(BC) after radical cystectomy(RC).METHODS: We researched our database between April 2011 and October 2019. There were 195 BC patients who underwent RC. The PNI and SII were calculated using preoperative blood sample results. The predictive value of SII and PNI was analysed with univariate and multivariate Cox regression models. Receiver operating characteristic (ROC) was used to determine the optimum PNI. Signifcant P was P<0.05.RESULTS: Of patients, all patients were males with a mean age of 67.94±8.97years. Mean serum albumin was 42.13±4.28(g/L), mean PNI score was 51.29±6.09 and mean SII was 661.67±506.22. Multivariable Cox regression analysis demonstrated that PNI scores and SII could not play a significantly predictive factor between muscle invasive bladder cancer(MIBC) and non-muscle-invasive bladder cancer(NMIBC). While we also found PNI was an independent risk factors for predicting tumor stagep(pT＜3a and pT≥3a).CONCLUSIONS: Our research revealed that preoperative low PNI but not SII could be used as an independent factor to predict worse pathologically stage(pT≥3a). But preoperative PNI and SII might not were significantly related with the incidence risk of muscle invasive. We still need future studies with large cohorts to identify our results.

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Predictive Value of Prognostic Nutritional Index for Radiotherapy and Prognosis of Esophageal Squamous Cell Carcinoma in the Elderly Patients

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2019.06.2093 ◽

2019 ◽

Vol 105 (1) ◽

pp. E187

Author(s):

S. Ji ◽

Q.Q. Chen ◽

Y. Xu

Keyword(s):

Squamous Cell Carcinoma ◽

Esophageal Squamous Cell Carcinoma ◽

Elderly Patients ◽

Cell Carcinoma ◽

Squamous Cell ◽

Predictive Value ◽

Prognostic Nutritional Index ◽

The Elderly ◽

Nutritional Index

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Predictive Value of Prognostic Nutritional index and Systemic Immune‐Inflammation Index on Tumor Progression in Bladder Cancer Patients with After Radical Cystectomy

10.21203/rs.3.rs-201709/v1 ◽

2021 ◽

Author(s):

jiatong zhou ◽

xitong xu ◽

ranlu liu

Keyword(s):

Bladder Cancer ◽

Radical Cystectomy ◽

Predictive Value ◽

Cox Regression ◽

Prognostic Nutritional Index ◽

Invasive Bladder Cancer ◽

Muscle Invasive Bladder Cancer ◽

Nutritional Index ◽

Immune Inflammation ◽

Muscle Invasive

Abstract OBJECTIVES: The purpose of this study was to explore the predictive value of preoperative prognostic nutritional index(PNI) and systemic immune‐inflammation index(SII) for local tumor stage in bladder cancer(BC) after radical cystectomy(RC).METHODS: We researched our database between April 2011 and October 2019. There were 195 BC patients who underwent RC. The PNI and SII were calculated using preoperative blood sample results. The predictive value of SII and PNI was analysed with univariate and multivariate Cox regression models. Significant P was P<0.05.RESULTS: Of patients, all patients were males with a mean age of 67.94±8.97years. Mean serum albumin was 42.13±4.28(g/L), mean PNI score was 51.29±6.09 and mean SII was 661.67±506.22. Multivariable Cox regression analysis demonstrated that PNI scores and SII could not play a significantly predictive factor between muscle invasive bladder cancer(MIBC) and non-muscle-invasive bladder cancer(NMIBC). While we also found PNI was an independent risk factors for predicting tumor stagep(pT＜3a and pT≥3a).CONCLUSIONS: Our research revealed that preoperative low PNI but not SII could be used as an independent factor to predict worse pathologically stage(pT≥3a). We still need future studies with large cohorts to identify our results.

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P1850Usefulness and predictive value of the prognostic nutritional index compared to other commonly-used nutritional indexes as a prognostic nutritional marker for short- and mid-term survival after TAVR

European Heart Journal ◽

10.1093/eurheartj/ehz748.0601 ◽

2019 ◽

Vol 40 (Supplement_1) ◽

Author(s):

S Mas-Peiro ◽

J Hoffmann ◽

T Walther ◽

A M Zeiher ◽

S Fichtlscherer ◽

...

Keyword(s):

Aortic Stenosis ◽

Serum Albumin ◽

Predictive Value ◽

Prognostic Nutritional Index ◽

Roc Curves ◽

Term Survival ◽

Nutritional Index ◽

Kaplan Meier ◽

Nutritional Risk Index ◽

Nutritional Marker

Abstract Background Several nutritional indexes predict clinical outcomes after trans-catheter aortic valve replacement (TAVR). The Prognostic Nutritional Index (PNI) is based on serum albumin and lymphocyte count, which makes it a highly practical tool to assess nutritional status. Prognostic value of PNI has been shown in some heart diseases and interventions. Usefulness and predictive value of PNI were investigated in patients with symptomatic aortic stenosis undergoing TAVR. PNI was compared with other commonly-used nutritional indexes that predict survival after TAVR. Methods A prospective observational study was carried out in a cohort of 114 patients with aortic stenosis undergoing TAVR in a high-volume centre from 09/2016 to 02/2018. Pre-procedural characteristics and laboratory parameters were measured, and a 1-year follow-up was completed. PNI was estimated with the formula: (10 × serum albumin [g/dl]) + (0.005 × total lymphocytes [1,000/μl]). Baseline clinical features and 1-year survival were compared in patients with PNI values above vs below median. A multivariate Cox regression analysis was used to assess the independent predictive value of PNI, for 1-year mortality after TAVR. Kaplan-Meier curves were constructed for patients with PNI above vs below median value. ROC curves were created to assess discrimination ability of PNI, and to compare its AUC values with those for other common nutritional markers, such as Geriatric Nutritional Risk Index (GNRI) and body mass index (BMI). Results Mean age was 82.2 years and 59.6% of patients were female. Mean PNI was 46±5. No differences were found in pre-procedural clinical characteristics between patients with PNI values above vs below median. One-year mortality was significantly higher in patients with PNI values below median (19/23) than in patients with higher PNI values (4/23) (p<0.001). No differences were found in complications according to Valve Academic Research Consortium Criteria-2. Lower PNI values significantly predicted a lower 1-year survival, even after adjusting for all clinical factors showing significant differences in a univariate analysis (model 1: HR 0.8, 95% CI 0.7–0.9, p<0.0001). Significance persisted also after adjusting for relevant laboratory factors (NT-proBNP, hs-Troponin, CRP, eGFR, cystatin, haemoglobin) (model 2: HR 0.8, 95% CI 0.7–0.9, p<0.05). Kaplan-Meier curves started to diverge soon after the intervention (figure). ROC curves revealed a stronger predictive value for PNI (AUC 0.80) compared to GNRI (0.77) and BMI (0.6) (figure). Kaplan-Meier curve for PNI and ROC curve Conclusion PNI is a useful and practical nutritional marker predicting 1-year survival after TAVR in aortic stenosis. It appears to reflect malnutrition and inflammation prior to the intervention, and to have an impact on prognosis. PNI seems to be a better prognostic marker than BMI or GNRI after TAVR.

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