High Prognostic Nutritional Index Research Articles

Usefulness of Preoperative Prognostic Nutritional Index in Secondary Spontaneous Pneumothorax

BackgroundThe prognostic nutritional index has been identified as a predictor of postoperative outcomes in various fields. We investigated the usefulness of the prognostic nutritional index as a risk factor for postoperative complications in secondary spontaneous pneumothorax. MethodsIn this retrospective study, patients who underwent surgery for secondary spontaneous pneumothorax were reviewed. The associations among the prognostic nutritional index, body mass index, and performance status were examined, and risk factors for postoperative complications were investigated in a multivariate analysis. In the subgroup analysis, on the basis of the receiver operating characteristics, we divided patients into high– and low–prognostic nutritional index groups and investigated the utility of the prognostic nutritional index for postoperative complications. ResultsOf 91 patients who underwent surgery for secondary spontaneous pneumothorax, 34 patients with postoperative complications were included. The prognostic nutritional index was significantly positively and negatively correlated with body mass index (P < .001) and performance status (P < .001), respectively. Multivariate analysis revealed that a decreased prognostic nutritional index was an independent risk factor for postoperative complications (P = .0048). In the subgroup analysis, the postoperative outcomes, including the duration of chest tube placement (P = .042), hospital stay (P = .0014), complications (P = .0089), and mortality (P = .044), were significantly worse in the low– than in the high–prognostic nutritional index group. ConclusionsThe prognostic nutritional index may be useful for evaluating the severity of secondary spontaneous pneumothorax in preoperative patients and may be a risk for postoperative complications.

Preoperative prognostic nutritional index predicts long-term outcomes of patients with ampullary adenocarcinoma after curative pancreatoduodenectomy.

The prognostic nutritional index (PNI), a marker of immune-nutrition balance, has predictive value for the survival and prognosis of patients with various cancers. To explore the clinical significance of the preoperative PNI on the prognosis of ampullary adenocarcinoma (AC) patients who underwent curative pancreaticoduodenectomy. The data concerning 233 patients diagnosed with ACs were extracted and analyzed at our institution from January 1998 to December 2020. All patients were categorized into low and high PNI groups based on the cutoff value determined by receiver operating characteristic curve analysis. We compared disease-free survival (DFS) and overall survival (OS) between these groups and assessed prognostic factors through univariate and multivariate analyses. The optimal cutoff value for the PNI was established at 45.3. Patients with a PNI ≥ 45.3 were categorized into the PNI-high group, while those with a PNI < 45.3 were assigned to the PNI-low group. Patients within the PNI-low group tended to be of advanced age and exhibited higher levels of aspartate transaminase and total bilirubin and a lower creatinine level than were those in the PNI-high group. The 5-year OS rates for patients with a PNI ≥ 45.3 and a PNI < 45.3 were 61.8% and 43.4%, respectively, while the 5-year DFS rates were 53.5% and 38.3%, respectively. Patients in the PNI- low group had shorter OS (P = 0.006) and DFS (P = 0.012). In addition, multivariate analysis revealed that the PNI, pathological T stage and pathological N stage were found to be independent prognostic factors for both OS and DFS. The PNI is a straightforward and valuable marker for predicting long-term survival after pancreatoduodenectomy. The PNI should be incorporated into the standard assessment of patients with AC.

Prognostic value of perioperative changes in the prognostic nutritional index in patients with surgically resected non-small cell lung cancer.

This single-institution retrospective cohort study was conducted to assess the prognostic significance of perioperative changes in the prognostic nutritional index (PNI) in patients who underwent surgery for non-small cell lung cancer (NSCLC). Clinicopathological data were collected from 441 patients who underwent lobectomy for NSCLC between 2010 and 2016.The PNI ratio (postoperative PNI/preoperative PNI) was used as an indicator of perioperative PNI changes. Prognostic differences were investigated based on PNI ratios. The optimal cut-off value of the PNI ratio for overall survival (OS) was set at 0.88 using a receiver operating characteristic curve. The PNI ratio was inversely related to a high smoking index, interstitial lung disease, and postoperative pulmonary complications. The 5-year OS rates for the high vs. low PNI ratio groups were 88.2% vs. 68.5%, respectively (hazard ratio [HR]: 3.04, 95% confidence interval [CI]: 1.90-4.86). Multivariable analysis revealed that a low PNI ratio was significantly associated with poor prognosis (HR: 2.94, 95% CI: 1.77-4.87). The PNI ratio was a more sensitive indicator than postoperative PNI status alone for identifying patients at high risk of mortality, particularly those with non-lung cancer causes. The perioperative PNI change is a significant prognostic factor for patients with NSCLC.

Investigating the Prognostic Significance of Immune-Nutritional Indices in Esophageal Cancer Patients Following Esophagectomy

Background: Esophageal cancer remains one of the most challenging malignancies to treat, with survival rates significantly influenced by various hematological and nutritional markers. Understanding these markers is critical in optimizing treatment approaches and improving patient outcomes. Objective: This study aimed to investigate the prognostic significance of several markers, including Mean Corpuscular Volume (MCV), Red Cell Distribution Width (RDW), Mean Platelet Volume (MPV), C-Reactive Protein (CRP), Albumin, Total Lymphocyte Count (TLC), CRP Albumin ratio (CAR), and the Prognostic Nutritional Index (PNI), in patients with esophageal cancer undergoing esophagectomy. Methods: A prospective observational study was conducted involving 43 patients diagnosed with esophageal carcinoma at Dr. Ruth K.M. Pfau Civil Hospital Karachi. Data collection included patient demographics, tumor characteristics, and laboratory results obtained from the Hospital Information and Management Security System (HIMSS). Statistical analysis was performed using SPSS version 25, with Kaplan–Meier survival curves and log-rank tests assessing the impact of hematological and nutritional markers on survival outcomes. Results: The majority of patients presented with advanced disease (Stage III and IV) and tumor sizes ranging from 5 to 10 cm. Mean survival times and statistical comparisons were analyzed, but no significant differences in survival based on the markers were observed. For example, patients with low and high PNI values did not show significant differences in survival (Log-rank test p-value = 0.382). Conclusion: The study did not demonstrate significant prognostic differences based on the evaluated hematological and nutritional markers. However, it highlights the importance of considering these factors in the overall management of esophageal cancer, suggesting further research with larger sample sizes and diverse populations is necessary.

Correlation of Prognostic Nutritional Index and Systemic Immune-Inflammation Index with the Recurrence and Prognosis in Oral Squamous Cell Carcinoma with the Stage of III/IV.

This study aimed to explore the correlation of systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) with the recurrence and prognosis in patients with advanced oral squamous cell carcinoma (OSCC). A total of 298 OSCC patients with the stage of III/IV were finally included in the study. SII = neutrophil count (109/L) × platelet count (109/L)/lymphocyte count (109/L). PNI = serum albumin (g/L) + 5 × total lymphocyte count (109/L). High preoperative SII and low preoperative PNI were independent risk factors for tumor recurrence in OSCC patients of the stage of III/IV. The area under the curves (AUC) for SII was 0.69 (0.63 to 0.76), for PNI was 0.72 (0.67 to 0.78), and for joint model was 0.81 (0.76 to 0.85). Patients with low level of joint model had significantly higher overall survival rate for 5 years follow-up than those with high level. Both preoperative SII and PNI are valuable independent tumor recurrence prediction index in patients with advanced OSCC. Meanwhile, the combination of preoperative SII and PNI is also valuable on OSCC recurrence and prognosis prediction.

Analyzing HALP and PNI scores as prognostic factors in metastatic head and neck cancers

ObjectiveThis study investigates the prognostic significance of Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score and Prognostic Nutritional Index (PNI) in metastatic head and neck cancers. MethodsRetrospective analysis was conducted on data obtained from January 2014 to June 2022 for 68 patients using rigorous statistical methods. HALP and PNI scores, derived from routine laboratory parameters, were categorized into low and high groups using respective median values. Prognostic significance was determined through Kaplan–Meier survival analyses and Cox proportional hazards regression using IBM SPSS Statistics. ResultsOf the 68 patients (80.9% male, median age 57), 39 (57.4%) had laryngeal cancer. When stratified by low and high HALP scores, the median overall survival (OS) was 5.9 and 16.4 months, respectively (P < 0.001), while the median progression-free survival (PFS) was 5.7 months and 8.2 months, respectively (P: 0.016). In the low and high PNI score groups, the median OS was 7 and 13.2 months (P < 0.001), with median PFS of 5.6 months and 8.2 months (P: 0.002), respectively. In the multivariate analysis, while the HALP score did not reach statistical significance in terms of PFS, the PNI score and age groups were found to be statistically significant. In terms of OS, higher HALP score and PNI scores were significantly associated with longer OS. ConclusionIn this study, the HALP score and PNI score were found to be a prognostic factor in patients with metastatic head and neck cancer.

Prognostic importance of prognostic nutritional index and modified Glasgow prognostic score in advanced lung cancer with targetable mutation

BackgroundInflammation and nutrition are important parameters that significantly affect survival in various malignancies. Prognostic nutritional index (PNI) and modified Glasgow prognostic score (mGPS) can reflect both inflammatory and nutritional conditions. Therefore, we aimed to evaluate the prognostic value of PNI and mGPS in patients who had the targetable mutation and also received targeted therapy.Materials and MethodsAdvanced lung cancer patients with EGFR mutation (mut) and ALK rearrangement were enrolled to study, retrospectively. PNI has with the following formula: 10 × serum albumin (g/dl) + 0.005 × peripheral lymphocyte count (per mm3) and threshold value was accepted as 50. Modified GPS was also calculated using albumin and CRP level and patients were scored as range 0 to 2.ResultsA total of 182 patients enrolled in the study. 132 and 50 of 182 patients had EGFR mut and ALK rearrangement, respectively. PFS was significantly longer in high PNI group in both the EGFR and ALK rearrangement-positive subgroups (P = 0.004 for EGFR mut-positive group; P = 0.017 for ALK rearrangement-positive group). Additionally, PFS was significantly shortened from mGPS 0 to 2 (P = < 0.001 for EGFR mut-positive group; P = 0.016 for ALK rearrangement-positive group).ConclusionBoth PNI and mGPS can be used as a reliable, inexpensive, and easily applicable prognostic index in the advanced lung cancer patients who had the targetable mutation and also received targeted therapy.

Effectiveness of prognostic nutritional index in predicting overall survival and evaluating immunotherapy response in anaplastic thyroid carcinoma.

The prognostic value of nutritional status in anaplastic thyroid carcinoma (ATC) remains unclear. The Prognostic Nutritional Index (PNI) is a reliable indicator of overall nutritional and immune status, and it has emerged as a significant prognostic factor in various malignancies. This study aimed to explore the utility of PNI in ATC. We systematically reviewed ATC patients in our institute from January 2000 to June 2023 and categorized them into high and low PNI groups based on the median PNI value. Kaplan-Meier analysis and Cox regression were employed to assess the impact of PNI on overall survival, while ROC curve analysis evaluated the predictive value of PNI. Mimics software was used for three-dimensional reconstruction of pre- and post-immunotherapy tumor volumes, enabling the assessment of treatment response. A total of 77 ATC patients were included in this study. Low baseline PNI was associated with significantly shorter overall survival (1-year survival rate: 5.26% vs 30.77%; median survival time: 5.30 months vs 8.87 months). The 1-year, 2-year, and 3-year AUC values for PNI were 0.82, 0.79, and 0.77, respectively. In the multivariate analysis, both PNI and tumor size emerged as independent prognostic factors for patient overall survival. Among ATC patients receiving 2-3 cycles of immunotherapy, an increase in post-treatment PNI levels was positively correlated with a reduction in tumor volume. PNI is an independent predictor of overall survival and holds the potential to serve as a valuable indicator for assessing and predicting immunotherapy efficacy in ATC patients.

Predictive value of PAR and PNI for the acute complicated course of pediatric acute hematogenous osteomyelitis

ObjectivePlatelet to albumin ratio (PAR) and prognostic nutritional index (PNI) are potential indicators for evaluating nutritional and inflammatory status. This study aimed to examine the relationship between PAR and PNI and the acute complicated course of acute hematogenous osteomyelitis (AHO). MethodsAHO patients were divided into the simple course group and the acute complicated course group. The patient's gender, age, site of infection, body temperature, laboratory results, and pathogen culture results were collected and compared. Multivariate logistic regression analysis was used to determine the independent risk factors of the acute complicated course group. The receiver operating characteristic curve was applied to determine the optimal cut-off value. ResultsIn total, 101 AHO patients with a median age of 7.58 years were included. There were 63 cases (62.4%) in the simple course group and 38 cases (37.6%) in the complicated course group. Binary logistic regression analysis revealed that PAR and PNI were independent risk factors for predicting the acute complicated course of AHO (p = 0.004 and p < 0.001, respectively). Receiver operating characteristic curve analysis demonstrated that the combination of PAR and PNI had an area under the curve of 0.777 (95% CI: 0.680-0.873, p < 0.001) with a cut-off value of 0.51. ConclusionsThe incidence of acute complicated courses was significantly higher in patients with high PAR and low PNI. A combined factor greater than 0.51, derived from PAR and PNI measurements within 24 hours of admission, may be useful for predicting AHO patients who are likely to develop severe disease.

Predictive role of the prognostic nutritional index in patients with pancreatic ductal adenocarcinoma who underwent neoadjuvant chemoradiotherapy followed by curative pancreatic resection: A retrospective study using prospectively collected data.

Despite a strong association between nutritional indices and disease prognosis, evidence regarding the evaluation of nutritional indices after preoperative treatment for pancreatic ductal adenocarcinoma (PDAC) is insufficient. We evaluated the clinical significance of the prognostic nutritional index (PNI) in patients with resectable (R-) and borderline resectable (BR-) PDAC who received neoadjuvant chemoradiotherapy (NACRT) followed by pancreatic resection. We assessed 153 patients with R- and BR-PDAC who underwent NACRT followed by curative resection between 2009 and 2022. We evaluated the association between preoperative PNI after NACRT and short- and long-term outcomes. The median preoperative PNI value after NACRT was 42.1, and the optimal cutoff value from the time-dependent receiver operating characteristic curve was 38.6. The low PNI group (PNI < 38.6, n = 44) exhibited significantly worse inflammatory parameters, surgical outcomes, and prognoses than the high PNI group (PNI ≥ 38.6, n = 109). Multivariate analysis identified preoperative PNI ≤ 38.6 (hazard ratio [HR]: 2.32, 95% confidence interval [CI]: 1.00-5.38, p = .049), blood loss ≥1642 mL (HR: 3.05, 95% CI: 1.65-5.64, p < .001), node positive pathology (HR: 2.10, 95% CI: 1.32-3.34, p = .002), and lack of postoperative adjuvant chemotherapy (HR: 3.55, 95% CI: 2.05-6.15, p < .001) as significant predictors of overall survival. For patients with R- and BR-PDAC receiving preoperative treatment, it is imperative to closely monitor their nutritional status when determining the optimal surgical procedure timing.

Prognostic Nutritional Index Predicts Efficacy and Immune-Related Adverse Events of First-Line Chemoimmunotherapy in Patients with Extensive-Stage Small-Cell Lung Cancer.

Currently, there is a lack of well-established markers to predict the efficacy of chemoimmunotherapy in small-cell lung cancer (SCLC). Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), advanced lung cancer inflammation index (ALI) and prognostic nutritional index (PNI) are associated with prognosis in several tumors, whereas their predictive role in SCLC remains unclear. A retrospective study was conducted at Sun Yat-sen University Cancer Center, involving extensive-stage SCLC (ES-SCLC) patients who received first-line chemoimmunotherapy between January 2020 and December 2021. Peripheral blood biomarkers were extracted from medical records and their correlation with prognosis and immune-related adverse events (IRAEs) was analyzed. A total of 114 patients were included. Patients with a low PLR, high ALI and high PNI had prolonged progression-free survival (PFS) compared to those with a high PLR, low ALI and low PNI. Patients with a low NLR, low PLR, high ALI and high PNI had prolonged overall survival (OS) compared to those with a high NLR, high PLR, low ALI and low PNI. Cox regression model showed that PNI was an independent risk factor for both PFS and OS. ROC curve showed that PNI outperforms NLR, PLR and ALI in predicting both PFS and OS. The PNI-based nomogram demonstrated strong predictive capability for both PFS and OS. In addition, there was a significant correlation between PNI and IRAEs. A high baseline PNI might be associated with improved prognosis and the occurrence of IRAEs in ES-SCLC patients treated with first-line chemoimmunotherapy.

Prognostic Significance of Sarcopenia and Systemic Inflammatory Markers in Biliary Tract Cancer: A Retrospective Cohort Study.

To evaluate the prognostic significance of sarcopenia and systemic inflammatory markers in patients with surgically resected biliary tract cancer (BTC). Between July 2010 and December 2022, 146 patients were recruited. Sarcopenia was assessed using the psoas muscle index. Preoperative inflammatory markers were used to calculate the prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio. Cox regression analysis was performed to determine prognostic factors for overall survival (OS) and recurrence-free survival (RFS). P < 0.05 was considered statistically significant. Sixty-four patients had sarcopenia. Sarcopenia was associated with body mass index (< 22 kg/m2), lymph node metastasis, and low PNI (< 42). R1/R2 resection (P = 0.02), sarcopenia (P < 0.001), lymph node metastasis (P = 0.007), intrahepatic cholangiocarcinoma (P < 0.001), and low PNI (P = 0.01) were independent predictors of OS, while male sex (P = 0.04), R1/R2 resection (P < 0.001), lymph node metastasis (P = 0.005), intrahepatic cholangiocarcinoma (P < 0.001), tumor differentiation (other than well; P = 0.003), and low PNI (P = 0.03) were independent predictors of RFS. Patients were stratified into no sarcopenia and high PNI (≥ 42; A), sarcopenia or low PNI (B), and sarcopenia and low PNI (C) groups. Group C had worse OS than the other two groups (P < 0.001 and P = 0.02, respectively). Sarcopenia is associated with the PNI. Sarcopenia and the PNI are independent prognostic factors among patients with resected BTC. Sarcopenia may have better prognostic value when combined with the PNI.

Correlation between prognostic nutritional index and pleural thickness with survival time of epithelial malignant pleural mesothelioma patients

Objective: To explore the role of prognostic nutritional index (PNI) and pleural thickness in the prognostic evaluation of patients with epithelial malignant pleural mesothelioma (MPM) . Methods: In April 2022, a retrospective analysis was conducted on the data and laboratory data of 41 patients with epithelial MPM admitted to the cardiothoracic surgery department of Chuxiong Yi Autonomous Prefecture People's Hospital from January 2018 to May 2021. Univariate and multivariate analysis were used to evaluate the relationships between total survival time, clinical characteristics, PNI and pleural thickness in patients. Results: The 41 patients were mostly male (26 cases, 63.4%) , with a median age of 55 years old. The main clinical manifestations were chest pain (53.7%) , bloody pleural effusion (75.6%) , and chest pain combined with bloody pleural effusion (36.6%) . The median survival time of patients with different TNM stage, efficacy after 4 cycles of chemotherapy, PNI, maximum pleural thickness after chemotherapy (post max) , sum of post max in 3 zones after chemotherapy (post sum) were statistically different (χ(2)=3.89, 14.51, 15.33, 4.33, 12.05, P<0.05) . Compared with patients with high PNI and post sum<32.26 mm, MPM patients with low PNI and post sum≥32.26 mm have higher risk of death, and the differences were statistically significant (HR=1.52, 95%CI: 1.75-11.93, P=0.002; HR=1.70, 95%CI: 1.84-16.23, P=0.002) . Conclusion: PNI and post sum can be used to predict the prognosis of patients with epithelial MPM.

Prognostic nutritional index in predicting survival of patients with gastric or gastroesophageal junction adenocarcinoma: A systematic review.

Gastric cancer is the third most common cause of cancer related death worldwide. Surgery with or without chemotherapy is the most common approach with curative intent; however, the prognosis is poor as mortality rates remain high. Several indexes have been proposed in the past few years in order to estimate the survival of patients undergoing gastrectomy. The preoperative nutritional status of gastric cancer patients has recently gained attention as a factor that could affect the postoperative course and various indexes have been developed. The aim of this systematic review was to assess the role of the prognostic nutritional index (PNI) in predicting the survival of patients with gastric or gastroesophageal adenocarcinoma who underwent gastrectomy with curative intent. To investigate the role of PNI in predicting the survival of patients with gastric or gastroesophageal junction adenocarcinoma. A thorough literature search of PubMed and the Cochrane library was performed for studies comparing the overall survival (OS) of patients with gastric or gastroesophageal cancer after surgical resection depending on the preoperative PNI value. The PRISMA algorithm was used in the screening process and finally 16 studies were included in this systematic review. The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO). Sixteen studies involving 14551 patients with gastric or esophagogastric junction adenocarcinoma undergoing open or laparoscopic or robotic gastrectomy with or without adjuvant chemotherapy were included in this systematic review. The patients were divided into high- and low-PNI groups according to cut-off values that were set according to previous reports or by using receiver operating characteristic curve analysis in each individual study. The 5-year OS of patients in the low-PNI groups ranged between 39% and 70.6%, while in the high-PNI groups, it ranged between 54.9% and 95.8%. In most of the included studies, patients with high preoperative PNI showed statistically significant better OS than the low PNI groups. In multivariate analyses, low PNI was repeatedly recognised as an independent prognostic factor for poor survival. According to the present study, low preoperative PNI seems to be an indicator of poor OS of patients undergoing gastrectomy for gastric or gastroesophageal cancer.

Prognostic Nutritional Index after Introduction of Atezolizumab with Bevacizumab Predicts Prognosis in Advanced Hepatocellular Carcinoma: A Multicenter Study

Plain Language SummaryAtezolizumab plus bevacizumab (Atez/Bev) is the preferred treatment for advanced hepatocellular carcinoma (HCC). However, biomarkers of therapeutic efficacy have remained unclear. We took a retrospective approach to explore the role of prognostic nutritional index (PNI) for predicting the outcomes of Atez/Bev treatment. 125 HCC patients were enlisted; these patients received Atez/Bev treatment and underwent dynamic computerized tomography/magnetic resonance imaging to determine the treatment response on at least one occasion between October 2020 and January 2023, and their PNI before treatment and at the beginning of the second cycle (PNI-2c) was evaluated. During the initial evaluation, 2 (2%), 28 (22%), 70 (56%), and 25 (20%) patients exhibited a complete response, partial response, stable disease, and progressive disease (PD), respectively. Patients with non-PD tended to have higher PNI at baseline and PNI-2c than those with PD (p = 0.245 and 0.122, respectively), with optimal baseline PNI and PNI-2c cut-off values of 42.6 and 40.4, respectively. PNI at baseline could not be used to predict overall survival (OS) or progression-free survival (PFS). However, PNI-2c predicted OS and PFS (PNI-2c ≥ 40.4 vs. < 40.4: 25.3 vs. 16.2 months, p = 0.008 for OS; 12.7 vs. 8.4 months, p = 0.036 for PFS). A multivariate analysis showed a significant association between PNI-2c and OS. Therefore, PNI-2c is a predictor of prognosis in HCC patients treated with Atez/Bev therapy.

Construction and validation of a prognostic nutritional index-based nomogram for predicting pathological complete response in breast cancer: a two-center study of 1,170 patients.

Pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) is associated with favorable outcomes in breast cancer patients. Identifying reliable predictors for pCR can assist in selecting patients who will derive the most benefit from NAC. The prognostic nutritional index (PNI) serves as an indicator of nutritional status and systemic immune competence. It has emerged as a prognostic biomarker in several malignancies; however, its predictive value for pCR in breast cancer remains uncertain. The objective of this study is to assess the predictive value of pretreatment PNI for pCR in breast cancer patients. A total of 1170 patients who received NAC in two centers were retrospectively analyzed. The patients were divided into three cohorts: a training cohort (n=545), an internal validation cohort (n=233), and an external validation cohort (n=392). Univariate and multivariate analyses were performed to assess the predictive value of PNI and other clinicopathological factors. A stepwise logistic regression model for pCR based on the smallest Akaike information criterion was utilized to develop a nomogram. The C-index, calibration plots and decision curve analysis (DCA) were used to evaluate the discrimination, calibration and clinical value of the model. Patients with a high PNI (≥53) had a significantly increased pCR rate (OR 2.217, 95% CI 1.215-4.043, p=0.009). Tumor size, clinical nodal status, histological grade, ER, Ki67 and PNI were identified as independent predictors and included in the final model. A nomogram was developed as a graphical representation of the model, which incorporated the PNI and five other factors (AIC=356.13). The nomogram demonstrated satisfactory calibration and discrimination in the training cohort (C-index: 0.816, 95% CI 0.765-0.866), the internal validation cohort (C-index: 0.780, 95% CI 0.697-0.864) and external validation cohort (C-index: 0.714, 95% CI 0.660-0.769). Furthermore, DCA indicated a clinical net benefit from the nomogram. The pretreatment PNI is a reliable predictor for pCR in breast cancer patients. The PNI-based nomogram is a low-cost, noninvasive tool with favorable predictive accuracy for pCR, which can assist in determining individualized treatment strategies for breast cancer patients.

Nutritional index in relation to prognosis of endometrial cancer.

Objective: Evaluate the prognostic value of the prognostic nutritional index (PNI) in patients with endometrial cancer (EC). Method: Laboratory and clinicopathological data from 370 patients who were diagnosed with EC between January 2010 and December 2021 were reviewed. The PNI was analyzed for correlations with recurrence and survival. The receiver operating characteristic curves were generated for the PNI. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high and low PNI groups. Differences in the clinicopathological characteristics between patients with high and low PNI were compared between the two groups. The effects of the prognostic factors were analyzed using univariate and multivariate Cox proportional hazards model. Results: The optimal cutoff value of the PNI was 52.74 for DFS (area under the curve: 0.817; 95% CI: 0.738-0.858, p <0.001). Significantly more patients in the low PNI group experienced recurrence (30.6% vs. 5.2%, p <0.001) and cancer-related death (17.8% vs. 2.8%, p <0.001). In multivariate analysis, PNI were independent prognostic factors for both DFS and overall survival OS. Conclusion: Low PNI was significantly associated with worse clinical outcomes in patients with EC. Our findings demonstrate that the PNI may be clinically reliable and useful as a prognostic marker for patients with EC. Further large-scale prospective studies are needed to confirm our findings.

Defining and predicting textbook outcomes for perihilar cholangiocarcinoma: analysis of factors improving achievement of desired postoperative outcomes.

Definition of textbook outcome (TO), defined as a single indicator combining the most advantageous short-term outcomes, is still lacking for perihilar cholangiocarcinoma (PHC). The primary endpoint of the present study is to analyze the rate of achievement of a disease-specific TO for PHC within a high volume tertiary referral centre. Secondary endpoints are to identify predictive factors of TO-achievement and to analyze the impact of achieving TO on long-term results. Between 2010 and 2022, a total of 237 patients undergoing combined liver and biliary resection for PHC at tertiary referral centre were included. Disease-specific TO were defined as: no 90-day mortality, no postoperative complications, no readmission, no intraoperative transfusions and resection margins. A logistic regression model was developed to identify predictors associated with TO-achievement. Kaplan-Meier curves were designed to determine TO's impact on survival. TO was achieved in 60 (25.3%) patients. At multivariate logistic regression, preoperative biliary drainage [odds ratio (OR) 2.90 (1.13-3.40), P =0.026], high prognostic nutritional index [OR 7.11 (6.71-9.43), P =0.007[ and minimally invasive approach [OR 3.57 (2.31-3.62), P =0.013] were identified as independent predictors of TO. High ASA score [OR 0.38 (0.17-0.82), P =0.013] decreased the odds of TO. A significant improvement in both overall survival and disease-free survival was associated to TO fulfilment. Since the achievement of TO correlates with better disease-free and overall survival, every effort should be made to ameliorate modifiable aspects prior to surery: management within referral centres with dedicated experience in biliary tract cancer and preoperative optimization protocol may positively contribute to improve postoperative outcomes, increasing the chance to obtain TO. Moreover, the implementation of advanced minimally invasive programs plays as well.

Association of Nutritional Indices With Adverse Effects and Time-to-Treatment-Failure in Triple Therapy for Lung Cancer.

Recent lung cancer treatments include an immune checkpoint inhibitor (ICI) pembrolizumab, platinum-based agents, plus an additional cytotoxic anticancer agent. Nutritional indices, such as the geriatric nutritional risk index (GNRI) and the prognostic nutritional index (PNI), are known to correlate with the prognosis of cancer chemotherapy. Several previous studies have investigated the relationship between PNI and treatment response in non-small cell lung cancer patients, reporting significantly increased OS and PFS in the high PNI group before treatment. However, the relationship between the three-drug combination and GNRI/PNI is unclear. The current study aimed to investigate the association of nutritional indices with duration of treatment success and occurrence of side effects in triple therapy. Seventy-two patients with non-small cell lung cancer, treated with combination of carboplatin, pemetrexed, and pembrolizumab from November 2019 to September 30, 2022, were classified into two groups (High and Low) for GNRI and PNI, and a retrospective study was performed. In terms of time-to-treatment-failure (TTF), univariate and multivariate Cox proportional hazards regression analysis showed the Low-PNI group to have significantly shorter TTF than the High-PNI group (p=0.006); multivariate analysis results also showed PNI as a factor affecting TTF (HR=2.791, 95%CI=1.362-5.721, p=0.005). On the other hand, GNRI was not shown to be a factor affecting TTF. PNI at the start of treatment was an independent prognostic factor affecting treatment success time (TTF) in non-small cell lung cancer patients receiving triple therapy. However, PNI was not shown to be a prognostic predictor of irAE development.

Prognostic value of geriatric nutritional risk index and prognostic nutritional index in hepatocellular carcinoma

BackgroundThe geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) are considered prognostic factors for several cancers. This study aimed to investigate the relationship between the GNRI and PNI for survival outcomes in patients with hepatocellular carcinoma (HCC). MethodsWe retrospectively analyzed 1666 patients with HCC who underwent hepatectomy. Restricted cubic spline regression was used to analyze the relationship between the GNRI and PNI for recurrence and mortality. Cox proportional hazards regression analysis was used to evaluate the risk factors associated with overall survival (OS) and recurrence-free survival (RFS). Interaction analysis was performed to investigate the comprehensive effects of the GNRI, PNI, and subgroup parameters on the prognosis of patients with HCC. ResultsThe risks of death and recurrence decreased rapidly and gradually stabilized as the GNRI and PNI scores increased. Patients with lower GNRI and PNI scores had significantly shorter OS and RFS rates than those with higher scores. Multivariate analysis showed that high GNRI [HR and 95%CI=0.77 (0.70–0.85), P<0.001] and PNI [HR and 95%CI=0.77 (0.70–0.86), P<0.001] scores were associated with decreased mortality risk. This trend was maintained by confounding variables in adjusted models despite partial interactions with clinical factors. The combined GNRI and PNI analysis showed that HCC patients with high GNRI and PNI had longer OS and RFS. ConclusionsThe GNRI and PNI showed good survival predictions in patients with HCC. Combining the GNRI with PNI may help predict the prognosis of patients (age>18 years) with HCC after hepatectomy.