Prognostic value of prognostic nutritional index and systemic immune‐inflammation index in patients with osteosarcoma

Huang, Xin; Hu, Hongzhi; Zhang, Weiyue; Shao, Zhimin

doi:10.1002/jcp.28476

Cited by 52 publications

(55 citation statements)

References 34 publications

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“…Therefore, an increasing number of studies have focused on the role of inflammation and nutrition in cancer patients, including those with pancreatic cancer 24 and osteosarcoma. 23 Many studies have reported that PNI and SII have great clinical significance in evaluating the prognosis in many solid cancers.…”

Section: Discussionmentioning

confidence: 99%

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Prognostic Nutritional Index and Systemic Immune-Inflammation Index Predict the Prognosis of Patients with HCC

Wang

Xiao

et al. 2021

Journal of Gastrointestinal Surgery

127

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Introduction Systemic nutrition and inflammation are the critical factors in cancer initiation, evolution, and progression. This study aimed to evaluate the prognostic value of the prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) in hepatocellular carcinoma (HCC) patients who underwent liver resection. Methods A total of 202 HCC patients met the criteria and were included in the study. The receiver operating characteristic (ROC) curve was used to calculate the optimal PNI and SII cutoff values. The relationship between PNI/SII and clinicopathologic parameters was analyzed. The effect of PNI and SII on recurrence-free survival (RFS) and overall survival (OS) was investigated by Kaplan-Meier curves and Cox proportional hazards models. Results The areas under the ROC curve for PNI and SII were 0.64 and 0.58. The ideal preoperative PNI and SII cutoff values were 50.25 and 461.5, respectively. Multivariate Cox regression analysis identified that the PNI (P = 0.001) and tumor diameter (P = 0.018) were significant prognostic markers for RFS, and that the PNI (P = 0.049), SII (P = 0.039) and tumor diameter (P = 0.001) were significant prognostic markers for OS. The median RFS in the PNI-low and PNI-high groups was 13.5 months and 23 months (P = 0.001), and that in the SII-low and SII-high groups was 18 months and 15 months (P = 0.03), respectively. The median OS in the PNI-low and PNI-high groups was 24 months and 39 months (P = 0.001), and that in the SII-low and SII-high groups was 36 months and 22 months (P = 0.002), respectively. Conclusion Interestingly, we found that PNI and SII could be important prognostic parameters for HCC patients who under hepatectomy.

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Section: Discussionmentioning

confidence: 99%

“…The PNI has also been verified as a useful prognostic biomarker in various cancers, including esophageal carcinoma and osteosarcoma. 22,23 In HCC patients, the albumin is also regarded as the important factor for the liver function.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Nutritional Index and Systemic Immune-Inflammation Index Predict the Prognosis of Patients with HCC

Wang

Xiao

et al. 2021

Journal of Gastrointestinal Surgery

127

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“…Most importantly, all easily assessed and predominantly widely used variables were integrated together by NPS, making it a more representative and reflective predictor for osteosarcoma. It is suggested that malnutrition is closely associated with carcinogenesis, cancer growth, and tumor progression, including osteosarcoma, leading to the search and formulation for biomarkers or prognostic scoring systems based on nutrition [30,38]. Malnutrition correlates with unfavorable prognosis in a variety of tumors [39,40].…”

Section: Discussionmentioning

confidence: 99%

“…Besides, other prognostic factors which represent or reflect patients' nutritional or immune status were also confirmed by various studies to be pivotal predictors for survival in osteosarcoma, such as prognostic nutritional index (PNI), the controlling nutritional status (CONUT) score, lymphocyte-to-monocyte (LMR) ratio, systemic immune-inflammation index (SII), etc. [27][28][29][30]. Similarly and unfortunately, these predictors also remained somewhat deficient for their limited representation and reflection of patients' whole status.…”

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confidence: 99%

Prognostic value of pre-treatment Naples prognostic score (NPS) in patients with osteosarcoma

et al. 2020

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Background: This study aimed to evaluate the clinical significance of pre-treatment Naples prognostic score (NPS) in patients with osteosarcoma. Methods: The clinical data of 133 osteosarcoma patients between January 2011 and February 2018 in our hospital was retrospectively collected and analyzed. NPS was calculated from four parameters, including serum albumin level, serum total cholesterol (TC), lymphocyte-to-monocyte ratio (LMR), and neutrophil-to-lymphocyte ratio (NLR). Patients were divided into three groups (group 1-3) based on NPS. The relationships between NPS and clinical features, overall survival (OS), and progression-free survival (PFS) were analyzed. Two prediction models based on NPS and clinical parameters were developed: clinical parameters model (model A), and the combined model of NPS and clinical parameters (model B). Their predictive performances were further evaluated and compared. Results: The median follow-up time of this cohort was 46.0 (range, 5-75) months, while the median OS and PFS was 40 (range, 5-75) months and 36 (range, 5-71) months, respectively. NPS was significantly correlated with gender, tumor location, Enneking stage, pathological fracture, local recurrence, and metastasis (all P < 0.05). Variables of NPS, Enneking stage, local recurrence, metastasis, and NLR were confirmed as independent prognostic factors for OS and PFS by univariate and multivariate Cox analysis. Prediction model B obtained larger AUCs for OS and PFS and showed better consistency between nomogram-predicted and actual survival than that of model A at the follow-up time of 1-, 3-, and 5-year. Conclusions: NPS was a novel, reliable, and multidimensional prognostic scoring system with favorable predictive performance for patients with osteosarcoma.

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“…PNI as a continuous variable was the foundation of some innovative nutrition associated indicators like CONUT score. A previous study presented the prognostic value of PNI 34 with the optimal cutoff point of 52.9 that may in uence the further clinical practicability. We need a larger sample prospective study to estimate the predicted value of PNI.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Various Nutritional Assessment Indicators on Long Term and Short Term Outcomes for Patients with High Grade Osteosarcoma Receiving Surgical Resection

Yang

Ding

2020

Preprint

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Background: Many researchers have focused on exploring the association between patients’ nutritional status and clinical outcomes with some easy-to-reach indicators, especially in some carcinoma with high incidence. However, there was little attention on sarcomas and the objective of this study was to evaluate the prognostic value of some innovative nutrition associated indexes on patients with high grade osteosarcoma receiving surgical excision. Method: We retrospectively included patients’ clinical characteristics diagnosed as high grade osteosarcomas histologically receiving surgical excision from January 2008 to June 2018. Body mass index (BMI), Glasgow prognostic score (GPS), systematic inflammatory index (SII), and controlling nutritional (CONUT) score were calculated as nutritional associated factors to evaluate their prognostic value. The primary outcome was overall survival (OS) while the secondary outcome was the postoperative length of hospitalization. The relationship between clinical features and outcomes were performed by Cox and logistic regression analysis, respectively. The independent prognostic factors were chosen to construct predicted model whose internal and external accuracy were validated by concordance index (C-index), Brier score, and calibration plots.Results: High score of GPS predicted worse OS [HR (95% CI): 3.122 (1.982-4.918) versus 2.208 (1.014-4.804)] and higher rank of CONUT predicted poorer prognosis [HR (95% CI): 2.573 (1.616-4.097)] independently. The CONUT score was selected as the only prognostic factor on the length of hospitalization [HR (95% CI): 2.137 (1.270-3.596)]. The nomogram plots were used to visualize the results of predicted models whose performance was evaluated from the aspects of calibration and discrimination. Conclusion: Our study suggested prognostic value of nutritional assessment indexes including GPS and CONUT score that appropriate preoperative intervention which could optimize patients’ nutrition associated indicators may improve prognosis on patients with high grade osteosarcoma receiving surgical excision.Level of evidence: Level Ⅲ, prognostic study

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Prognostic value of prognostic nutritional index and systemic immune‐inflammation index in patients with osteosarcoma

Cited by 52 publications

References 34 publications

Prognostic Nutritional Index and Systemic Immune-Inflammation Index Predict the Prognosis of Patients with HCC

Prognostic Nutritional Index and Systemic Immune-Inflammation Index Predict the Prognosis of Patients with HCC

Prognostic value of pre-treatment Naples prognostic score (NPS) in patients with osteosarcoma

Prognostic Value of Various Nutritional Assessment Indicators on Long Term and Short Term Outcomes for Patients with High Grade Osteosarcoma Receiving Surgical Resection

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