Prognostic Nutritional Index In Patients Research Articles

Prognostic nutritional index: A potential biomarker for predicting the prognosis of decompensated liver cirrhosis.

Prognostic nutritional index (PNI) is an independent predictor of the prognosis of various diseases. However, the prognosis value of PNI in patients with decompensated liver cirrhosis (DLC) remains unknown. The study aimed to investigate the prognostic significance of PNI in patients with DLC. A total of 214 eligible patients were enrolled in the study's development cohort between January 2018 and March 2021. The clinical primary study endpoints were mortality at 3 and 6 months. Receiver operating characteristic (ROC) curve analysis was used to assess the PNI's prediction accuracy, and Youden's index was utilized to determine the PNI's optimal cut-off value. Moreover, based on the optimal cut-off value, patients were categorized into high and low PNI groups. Multivariate logistic regression analysis was used to determine independent risk factors for mortality, while the relationship between PNI and the risk of death was identified and demonstrated using restricted cubic splines (RCS). A validation cohort of 139 patients was to verify the predictive power of the PNI. In the development cohort, the mortality rate at 3 and 6 months were 10.3% (22) and 14.0% (30), respectively. The PNI had comparable predictive power with the MELD score at all follow-up endpoints. Decreased PNI was an independent predictor of adverse prognosis at all follow-up endpoints. The RCS revealed a linear correlation between PNI and the risk of death. We confirmed that lower PNI was an independent predictor of poor prognosis in the validation cohort. The findings showed that lower PNI is an independent factor of poor outcomes and might be utilized as a potentially promising prognostic predictor in patients with DLC.

Prognostic and clinicopathological significance of the Prognostic Nutritional Index in patients with gastrointestinal stromal tumours undergoing surgery: a meta-analysis

ObjectivesPrevious studies have investigated the prognostic value of the Prognostic Nutritional Index (PNI) in patients with gastrointestinal stromal tumours (GISTs). However, the results have been inconsistent. We performed a meta-analysis...

108P Role of the prognostic nutritional index in predicting survival in advanced hepatocellular carcinoma treated with atezolizumab plus bevacizumab

The prognostic nutritional index (PNI) is a multiparametric score introduced by Onodera based on the blood levels of lymphocytes and albumin in patients with gastrointestinal neoplasms. Regarding hepatocellular carcinoma (HCC), its prognostic role has been demonstrated in patients treated with sorafenib and lenvatinib. The aim of this real-world study is to investigate the association between clinical outcomes and PNI in patients being treated with atezolizumab plus bevacizumab.

The prognostic significance of prognostic nutritional index in gastrointestinal stromal tumors: A systematic review and meta-analysis.

Risk assessment before treatment is important for gastrointestinal stromal tumors (GISTs), which will determine the priority of surgery or preoperative treatment. The prognostic nutritional index (PNI) is an integrated parameter consisting of serum albumin and lymphocyte count. Immunonutritional status defined in this manner is well-known to be closely linked to the prognosis of several other cancers. Nevertheless, the prognostic value of PNI specifically in GISTs has not been well-established. This study aimed to verify the prognostic role of PNI in patients with GISTs. A comprehensive literature search was conducted on medical databases up to June, 2022, and the raw data (hazard ratios and 95% confidence intervals [CIs]) focusing on the prognostic value of PNI in patients with GISTs regarding recurrence-free survival were extracted and synthesized adopting the random-effects model. This review was registered in the PROSPERO database (CRD42022345440). A total of 8 eligible studies including 2627 patients with GISTs was analyzed and the pooled results confirmed that an elevated PNI was associated with a better recurrence-free survival (hazard ratio: 0.52, 95% CI: 0.40-0.68), with a moderate heterogeneity (I-square, 38%). The findings from subgroup analysis were consistent with the overall pooled results, and a sensitivity analysis, not the subgroup analysis, identified the source of heterogeneity. Elevated pretreatment PNI may be a useful indicator for assessing risk of recurrence in patients from China with GISTs. Studies in other countries and regions are needed to further verify the prognostic value of PNI in GISTs.

The predictive value of prognostic nutritional index in patients with COVID-19

Introduction and Aim: It is crucial to identify and start treating the COVID-19 patients who are most at risk of becoming seriously ill as soon as possible. There is some evidence that prognostic nutritional index (PNI) could predict the outcome of some diseases. The study objective was to determine whether PNI is a useful prognostic tool for predicting the outcome of COVID-19-positive patients. Patients and Methods: At Al-Shifaa Hospital in Baghdad Medical City, a total of 160 patients with COVID-19 participated in a study that was designed as a cross-sectional. At the time of admission, information was collected on the patient's history, including clinical, laboratory, and demographic details. The PNI score was determined by 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/mm3). Patients were followed up for survival. Results: The mortality rate was 14.37%. Survived patients had a mean age of 55.85±16.03 years compared with 64.30 ±14.76 years for died patients with a significant difference. Diabetes was more common among died (39.13%) than survived patients (15.33%) with a significant difference. The median serum level of C-reactive protein (CRP), D-dimer and ferritin in deceased patients was 84 mg/L, 2208 ng/ml and 650 ng/ml, respectively compared with 48 mg/L, 858 ng/ml and 550 ng/ml in survived patients with highly significant differences. The mean PNI in survived and non-survived patients was 40.89±5.9 and 37.86±4.36, respectively with a significant difference. The area under the curve (AUC) for PNI was 0.888, 95%CI = 0.827 and 0.939, p = 0.002 At an ideal cutoff value of 39.08, the test's sensitivity and specificity are 80 % and 74 %, respectively. Conclusion: The PNI score is an easy-to-use, speedy, and cost-effective tool that has the potential to be utilized on a routine basis to predict mortality in patients with COVID-19.

Prognostic role of the prognostic nutritional index in patients with pancreatic cancer who underwent curative resection without preoperative neoadjuvant treatment: Asystematic review and meta-analysis.

BackgroundThe prognostic nutrition index (PNI), which has been evaluated in various kinds of cancers, offered a simple yet effective approach to predict the prognosis. The aim of this meta-analysis is to reveal the correlation between preoperative PNI and the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) who underwent curative resection.MethodsWe searched the PubMed, Embase, Web of Science and Cochrane Library databases, and extracted the hazard ratio (HR) with 95% confidential interval (CI) from eligible studies. The pooled HR with 95% CI was applied to evaluate the association between PNI and overall survival (OS), recurrence-free survival (RFS).ResultsA total of fourteen studies with 3,385 patients were included for meta-analysis. The results (the pooled HR: 1.664, 95% CI: 1.424–1.994, I² = 42.6%, p value = 0.046) indicated that low preoperative PNI was closely related to poor OS. In addition, the results suggested that PNI was negatively correlated with RFS (the pooled HR: 1.369, 95%CI: 1.080–1.734). The robustness of these pooled results was verified by our subgroup analysis and sensitivity analysis. Moreover, different cutoff values among studies are responsible for the heterogeneity of pooled HR of OS through meta-regression analysis (p value = 0.042). Funnel plots, Begg's test (p value = 0.228) and Egger’s test (p value = 0.702) indicated no significant publication bias in OS.ConclusionPreoperative PNI might be a promising marker to predict the prognosis of PDAC patients who underwent curative resection.

Value of the prognostic nutritional index (PNI) in patients with newly diagnosed, CD5-positive diffuse large B-cell lymphoma: A multicenter retrospective study of the Huaihai Lymphoma Working Group.

CD5-positive diffuse large B-cell lymphoma (DLBCL) is a clinically rare subtype of DLBCL with aggressive clinical manifestations and a poor prognosis. It has been demonstrated that the prognostic nutritional index (PNI), an indicator of nutritional status and systemic inflammation, is a significant prognostic factor for several types of lymphoma. The objective of this multicenter retrospective study was to explore the prognostic value of the PNI in patients with CD5-positive DLBCL. In total, 207 patients with CD5-positive DLBCL were recruited from 11 centers of the Huaihai Lymphoma Working Group. Maximally selected rank statistics analysis was used to identify optimal cutoff points for the PNI. A Cox proportional hazards model was used for univariable and multivariable analyses. Kaplan-Meier curves were used to calculate survival rates and draw survival curves, and the log-rank test was used to compare differences between groups. The median age at diagnosis was 61 years, and the 5-year overall survival rate was 47.5%. According to the maximally selected rank statistics analysis, a score of 49.7 was the optimal cutoff point for the PNI. Subgroup analysis showed that the PNI could re-stratify patients in BCL-2-negative, MYC-negative, high-intermediate-risk and high-risk International Prognostic Index, BCL-6-positive and BCL-6-negative, high Ki-67 score (≥0.9), Ann Arbor stage III/IV, Eastern Cooperative Oncology Group performance status ≥2, and germinal center B subgroups. Multivariable analysis revealed that PNI, age, Eastern Cooperative Oncology Group performance status, albumin level, and red blood cell count were independent prognostic factors for CD5-positive DLBCL. The PNI was a significant prognostic indicator for CD5-positive DLBCL and was able to re-stratify the prognosis for clinicopathologic subgroups of patients with CD5-positive DLBCL.

A Nutrition-Related Factor-Based Risk Stratification for Exploring the Clinical Benefits in the Treatment of Patients With Locally Advanced Esophageal Squamous Cell Carcinoma Receiving Definitive Chemoradiotherapy: A Retrospective Cohort Study.

ObjectiveNo study has reported the risk stratification of BMI and PNI in patients with locally advanced esophageal squamous cell carcinoma (ESCC) undergoing definitive chemoradiotherapy (dCRT). This study aimed to construct a risk stratification to guide the treatment of ESCC following dCRT.MethodsA total of 1,068 patients with locally advanced ESCC who received dCRT were retrospectively analyzed. The impacts of clinicopathological factors on overall survival (OS) and progression-free survival (PFS) were analyzed. Besides, the novel prognostic indices of pre-therapeutic nutritional index (PTNI) and prognostic index (PI) were developed.ResultsThe median follow-up period of OS and PFS were 22.9 and 17.4 months, respectively. The high body mass index (BMI) group had better 5-year OS and PFS (36.4 and 34.0%) than the low BMI group (18.8 and 17.2%). The high prognostic nutritional index (PNI) group also had better 5-year OS and PFS (33.4 and 30.9%) than the low PNI group (17.5 and 17.2%). Multivariate Cox regression analysis showed that BMI and PNI were independent prognostic factors for OS and PFS. Based on nutritional indices, patients were categorized into the low-risk (PTNI = 1), medium-risk (PTNI = 2), and high-risk (PTNI = 3) groups with 5-year OS rates of 38.5, 18.9, 17.5%, respectively (p < 0.001) and 5-year PFS rates of 35.8, 17.6, 16.8%, respectively (p < 0.001). Besides, we also constructed a prognostic index (PI) for OS and PFS which was calculated based on statistically significant factors for predicting OS and PFS. The results revealed that the high-risk group had worse OS and PFS than the low-risk group (p < 0.001). Finally, RCS analysis demonstrated a non-linear relationship between the PNI, BMI, and survival for patients with ESCC. The death hazard of PNI and BMI sharply decreased to 41.8 and 19.7.ConclusionThe decreased pre-therapeutic BMI and PNI levels were associated with a worse survival outcome. BMI and PNI are readily available and can be used to stratify risk factors for locally advanced ESCC patients undergoing dCRT. The novel risk stratification may help to evaluate patients’ pre-therapeutic status and guide dCRT for locally advanced ESCC patients.

Prognostic Value of the Pre-Treatment Prognostic Nutritional Index for Patients with Unresectable Locally-Advanced and Advanced Stage Upper Gastrointestinal Tract Cancer

PurposeThe prognostic nutritional index (PNI) is used to distinguish immune-nutritional status. Previous studies have shown that it is significantly associated with patient outcomes for various malignancies. This study aimed to evaluate the prognostic impact of PNI in patients with unresectable locally-advanced and advanced stage upper gastrointestinal tract cancer, including esophageal cancer and gastric cancer.MethodsA retrospective study of 170 unresectable stage III–IV esophageal cancer and gastric cancer patients was conducted from January 2018 to December 2020. In our retrospective analysis, the pretreatment PNI of patients was calculated and analyzed. The Youden index was estimated to select the optimal cut-off value for PNI. Univariate and multivariate flexible parametric proportional hazards models with restricted cubic splines (RCS) were used to identify independent prognostic factors, and the Kaplan–Meier method was used to estimate survival curves.ResultsThe median follow-up period was 5 months (ranging from 0.06 to 36.92 months). We determined 52.9 as the cut-off value by using the maximum Youden index. Subsequently, patients in the testing group were classified into high PNI and low PNI groups. Kaplan–Meier curves showed the low PNI group had significantly poorer overall survival (OS) than the high PNI group. Median OS in the low PNI group was 4.43 months compared with 8.23 months in the high PNI group (HR 2.42, 95% CI 1.33–4.40, p = 0.004). In the univariate analysis, low PNI, ECOG PS 2, and ECOG PS 3–4 were associated with OS. According to multivariate analysis, low PNI was an independent prognostic factor for OS (HR 2.31, 95% CI 1.24–4.29, p = 0.008).ConclusionPretreatment PNI is useful for independent prognosis of unresectable stage III–IV esophageal cancer and gastric cancer in patients.

The Prognostic Value of Prognostic Nutritional Index in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis

Controversy still exists with regard to the prognostic value of prognostic nutritional index (PNI) in ovarian cancer. A systematic search based on the databases of Web of Science, Embase, PubMed, Chinese National Knowledge Infrastructure (CNKI) and WanFang Dataset were conducted up to March 22, 2022. We included both retrospective and prospective observational studies with comparison of prognosis of patients who were divided into two groups: low and high PNI group. The Newcastle–Ottawa Scale (NOS) was applied to evaluate the quality of enrolled studies. All analyses were performed using Stata software. The pooled results were reported as hazard ratios (HRs) with the 95% confidence intervals (95% CIs). Finally, 12 studies involving 3,190 patients were included. High PNI group had a significantly improved overall survival (OS, HR: 0.67, 95% CI: 0.53–0.84), progression-free survival (PFS, HR: 0.74, 95% CI: 0.63–0.87), and cancer-specific survival (CSS, HR: 0.43, 95% CI: 0.20–0.94) compared with the low PNI group. The sensitivity analysis and publication bias indicated our results were reliable. PNI could be applied as a promising index to predict prognosis in ovarian cancer. Our results need to be validated in future studies.

Prognostic Nutritional Index as a Predictor of Prognosis in Patients with Chronic Limb Threatening Ischemia Who Underwent Endovascular Revascularization Therapy

BACKGROUND/INTRODUCTION: Patients with chronic limb-threatening ischemia (CLTI) have poor prognosis. Prognostic nutritional index (PNI) is an established independent predictor of adverse outcome in various chronic illnesses. The use of PNI in patients with CLTI has not been studied.

Practical parameters that can be used for nutritional assessment in patients hospitalized in the intensive care unit with the diagnosis of chronic obstructive pulmonary disease: Prognostic nutritional index, neutrophil-to-lymphocyte, platelet-to-lymphocyte, and lymphocyte-to-monocyte ratio.

Malnutrition is an important condition in patients diagnosed with chronic obstructive pulmonary disease (COPD). There is a need for practical and objective nutritional assessment methods in patients hospitalized in the intensive care unit with the diagnosis of COPD. In this study, it was aimed to determine the parameters that can practically evaluate the nutritional status of these patients. It was aimed to determine the relationship between prognostic nutritional index (PNI), and nutritional risk screening (NRS)-2002, nutrition risk in the critical ill (Nutric) Score and to determine a cut-off value for PNI, neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and other complete blood count parameters.Hemogram values, albumin values, NLR, PLR, LMR, NRS-2002, PNI and modified Nutric Score calculations of the patients hospitalized in the intensive care unit due to COPD were recorded. The relationship between PNI and NRS-2002 and modified Nutric Score, as well as the relationship between NLR, PLR, LMR, hemogram parameters and PNI were analyzed using statistical methods.The PNI cut-off value for nutritional assessment in patients hospitalized in the intensive care unit due to COPD was determined as 38.5 (area under curve = 0.891, sensitivity 80.8%, specificity 88.1%, positive predictive value 92.9%, negative predictive value 88%). High-risk group according to PNI compared to low-risk group, lymphocyte count (P < .001), basophil count (P = .004), red blood cell (P < .001), hemoglobin (P < .001), hematocrit (P < .001), and LMR (P = .001) were statistically significantly lower, while NLR (P < .001) and PLR (P = .001) were statistically significantly higher. Cut-off values for lymphocyte count, basophil count, NLR, PLR, and LMR were found to be 1.18, 0.035, 7.97, 291.10, and 2.606, respectively.Nutritional risk assessment can be made in a practical way by using PNI in patients hospitalized in intensive care unit due to COPD. For this, the PNI cut-off value was determined as 38.5 in our study. In addition, NLR, PLR, LMR, basophil and lymphocyte values, which can be calculated using complete blood count parameters, may also be useful in the evaluation of nutritional status in these patients. In our study, the cut-off values determined for NLR, PLR, LMR, basophil and lymphocyte were 7.97, 291.10 and 2.606, 0.035 and 1.18, respectively. We think that the results we have obtained can provide preliminary information for future research.

Prognostic Nutritional Index in Patients With End-Stage Oral Cancer.

As the incidence of oral cancers is on the rise, we aimed to evaluate the usefulness of the prognostic nutritional index (PNI) as a predictor of survival in patients with terminal oral cancer. We evaluated the association between laboratory and PNI values and survival days in 33 patients who died of oral cancer between 2004 and 2019 ,excluding 4 patients who underwent gastric banding out of 39with gastric banding. The observation period was from the date of palliative care recommendation to the date of death. A significant difference was observed between the PNI values recorded 3 months before death and those recorded 1 month before death (37.99 ± 6.50 vs 28.86 ± 6.01; P<.05). The median PNI value was associated with the timing of supportive care start and survival (days). This study revealed that PNI values decreased toward the end of life and correlated with survival (days), independent of patient characteristics. These findings suggest that the PNI may be useful in the prognostication of end-stage oral cancer.

The Prognostic Value of Prognostic Nutritional Index in Patients with Lymphoma--Review

The morbidity and mortality of hematological tumors have shown a rising tendency in recent years and become one of the major diseases which affect public health. The nutritional and inflammation status of the body has been proved to play an important role in the occurrence, development and prognosis of the blood system disease. The prognostic nutritional index (PNI) is an important index to reflect the nutritional and inflammation status of the body, and it can be calculated by serum albumin level and peripheral blood lymphocyte count. A large number of studies have reported that PNI can effectively predict the prognosis of several hematological tumors, including lymphoma. In this review, the prognostic value of PNI in patients with lymphoma was summarized briefly.

Prognostic Value of Prognostic Nutritional Index in Patients With Colorectal Cancer Undergoing Surgical Treatment.

BackgroundTo investigate the relationship between prognostic nutritional index (PNI) and the survival of patients with colorectal cancer (CRC) undergoing surgical treatment.MethodsIn total 1,014 CRC patients who underwent surgical treatment were enrolled. Logistic regression analysis was used to identify the features that influenced postoperative complications in CRC patients. Restricted cubic spline was used to assess the dose-response relationship between PNI and survival in CRC patients. Kaplan-Meier method and log-rank test were used to compare survival differences between groups of CRC patients. Cox proportional risk regression models was used to assess independent risk factors for progression-free survival (PFS) and overall survival (OS) of CRC patients.ResultsLow PNI was associated with high tumor burden, invasive pathological features, and poor host status. Compared with patients with high PNI, patients with low PNI have a higher incidence of complications and longer hospital stay. Low PNI was an independent risk factor for postoperative complications in CRC patients. for every SD increased in PNI, the risk of poor prognosis for CRC patients was reduced by 2.3% (HR = 0.977, 95%CI = 0.962–0.993, p = 0.004) in PFS, and 2.3% (HR = 0.977, 95%CI = 0.962–0.993, p = 0.004) in OS. PNI was an independent prognostic factor affecting the PFS and OS of CRC patients. Finally, we constructed the PNI-based nomograms to predict postoperative complications, 1–5 years PFS and OS in CRC patients. Concordance index and calibration curve indicated that the PNI-based nomograms have moderate prediction accuracy.ConclusionPNI is an independent risk factor affecting postoperative complications, PFS and OS of CRC patients, and is a useful supplement to the TNM stage.

Clinicopathological and Prognostic Significance of Preoperative Prognostic Nutritional Index in Patients with Upper Urinary Tract Urothelial Carcinoma

Purpose: To investigate the prognostic value of preoperative prognostic nutritional index (PNI) to predict oncological outcome and intravesical recurrence (IVR) in upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). Method: This study involved the clinical data of 255 patients with UTUC who had undergone RNU from 2004 to 2019 at our institution. Patients were grouped according to an optimal value of preoperative PNI. Kaplan–Meier analyses and Cox proportional hazards models were used to analyze the associations of preoperative PNI with progression-free survival (PFS), cancer-specific survival (CSS), overall survival (OS), and IVR. Result: Patients with low PNI were more likely to be older, have higher tumor stage, higher eGFR, and multifocal lesions. No significant association was found between PNI and CSS, IVR. In subgroup analysis according to the risk stratification, low PNI was associated with worse PFS, CSS, and OS for patients with higher risk. Multivariate analyses showed that elevated PNI was an independent prognostic indicator for PFS (P = 0.014) and OS (P = 0.048). Conclusion: A low PNI is an independent predictor of PFS and OS in patients with UTUC after RNU. By subgroup analysis, the prognostic value of PNI was limited to patients with higher risk. PNI may become a useful biomarker to predict oncological outcomes in patients with UTUC after RNU.

Evaluation of the controlling nutritional status score and prognostic nutritional index in patients with familial Mediterranean fever.

Familial Mediterranean fever (FMF) is the most common disease that leads to secondary amyloidosis in Turkish population. The prognostic nutritional index (PNI) and the controlling nutritional status (CONUT) score were recently investigated in many clinical conditions as predictors of disease activity and prognosis of underlying disease. We aimed to evaluate these indexes in FMF patients. We included a total of 135 patients with FMF without amyloidosis at baseline. Demographic characteristics, particular attack features, treatment modalities, disease complications of patients, and a follow-up time for each patient were obtained. Disease complications were defined as amyloidosis or end stage renal disease. Baseline laboratory parameters in the attack-free period were used to assess the subclinical inflammation. Spearman's rho correlation analysis was used for numerical variables. Univariate and multivariate logistic regression analyses were used to determine factors that had an impact on the development of amyloidosis. Receiver operating characteristic (ROC) curve analysis was used to discover the appropriate cutoff points of CONUT score and PNI for predicting the development of amyloidosis. ROC analysis revealed that the optimal cutoff points for neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), CONUT score, and PNI were >1.9, >145, >2, and ≤54, respectively. The area under the curve values of CONUT score and PNI for predicting the development of amyloidosis were 0.830 (95% CI: 0.76-0.89, P < .001) and 0.940 (95% CI: 0.88-0.97, P < .001), respectively. Correlation analyses revealed significant positive correlations between CONUT score, NLR, and PLR. The high CONUT score was associated with the development of amyloidosis in FMF patients in addition to age and M694V homozygous mutation. Low PNI and high CONUT score at diagnosis may have a poor prognostic value for the development of amyloidosis in patients with FMF in addition to older age and M694V homozygous mutation. These indexes may be a useful and inexpensive screening biomarkers in clinical practice for predicting amyloidosis in patients with FMF.

Importance of Prognostic Nutritional Index in Patients with Metastatic Breast Cancer Treated with Trastuzumab Emtansine

Importance of Prognostic Nutritional Index in Patients with Metastatic Breast Cancer Treated with Trastuzumab Emtansine

Value of prognostic nutritional index in patients with non-small cell lung cancer

Value of prognostic nutritional index in patients with non-small cell lung cancer

Prognostic Value of the Systemic Immune-Inflammation Index and Prognostic Nutritional Index in Patients With Medulloblastoma Undergoing Surgical Resection.

Background: The progression and metastasis of cancers are associated with systematic immune inflammation and nutritional dysfunction. The systemic immune-inflammation index and prognostic nutritional index (PNI) have shown a prognostic impact in several malignancies. Therefore, our study aimed to evaluate immune inflammation and nutritional index prognostic significance in patients with medulloblastoma (MB).Methods: We retrospectively analyzed 111 patients with MB between 2001 and 2021 at our institution. The optimal cutoff values for systemic immune-inflammation index (SII), neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte counts ration (MLR), and PNI were evaluated with receiver operating characteristic (ROC) curve analysis. Clinical characteristics and SII, NLR, MLR, and PNI were tested with the Pearson's chi-squared test. The Kaplan–Meier survival curves and the Cox proportional hazards model were used to evaluate the effects of immune inflammation and nutritional index on overall survival (OS).Results: Receiver operating characteristic curve analysis determined the optimal SII, NLR, MLR, and PNI cutoff values of 2,278, 14.83, 0.219, and 56.5 that significantly interacts with OS and divided the patients into two groups. Comparative survival analysis exhibited that the high-SII cohort had significantly shorter OS (p = 0.0048) than the low-SII cohort. For the univariate analysis, the results revealed that preoperative hydrocephalus (p = 0.01), SII (p = 0.006), albumin–bilirubin score (ALBI) (p = 0.04), and coSII–PNI were predictors of OS. In the multivariate analysis, preoperative hydrocephalus (p < 0.001), ALBI (p = 0.010), SII (p < 0.001), and coSII–PNI as independent prognostic factors were significantly correlated with OS.Conclusion: The preoperative SII, ALBI, and coSII–PNI serve as robust prognostic biomarkers for patients with MB undergoing surgical resection.