A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI)

Severe postoperative complications after minimally invasive esophagectomy reduce the long-term prognosis of well-immunonutrition patients with locally advanced esophageal squamous cell carcinoma

BACKGROUND

While severe postoperative complications (SPCs) impact cancer prognosis, their effect on locally advanced esophageal squamous cell carcinoma (ESCC) patients with varying immunonutritional statuses after minimally invasive esophagectomy (MIE) is unclear.

METHODS

This retrospective study analyzed 442 patients with locally advanced ESCC who underwent MIE, investigating the relationship between SPCs and survival based on preoperative immunonutritional status, determined by the prognostic nutritional index (PNI). Nomograms were developed for patients with preserved immunonutritional status using Cox regression, and their performance was assessed.

RESULTS

Of the patients, 102 (23.1%) experienced SPCs after MIE. Five-year overall survival (OS) and disease-free survival (DFS) were significantly different between SPCs and non-SPCs groups (p < 0.001). In the preserved immunonutritional group, SPCs significantly reduced 5-year OS (p = 0.008) and DFS (p = 0.011), but not in the poor immunonutritional group (OS p = 0.152, DFS p = 0.098). Multivariate Cox regression identified SPCs as an independent risk factor for OS (HR = 1.653, p = 0.013) and DFS (HR = 1.476, p = 0.039). A nomogram for predicting OS and DFS in preserved immunonutritional patients demonstrated excellent performance.

CONCLUSIONS

SPCs significantly affect prognosis in ESCC patients with preserved immunonutritional status after MIE. Nomograms based on SPCs can predict OS and DFS in these patients.

Prognostic Impact of Low Muscle Mass and Inflammatory Markers in Stage III Nonsmall Cell Lung Cancer Turkish Oncology Group and Turkish Society of Radiation Oncology Thoracic Cancer Study Group (08-005)

OBJECTIVES

The aim of this retrospective multicenter study was to evaluate the prognostic significance of low muscle mass, and inflammatory markers in patients with stage III nonsmall cell lung cancer (NSCLC) who received definitive chemoradiotherapy (CRT). Furthermore, the study aimed to determine the threshold value of disease-specific low muscle mass.

METHODS

A total of 461 patients with stage III NSCLC were evaluated. Low muscle mass, prognostic nutritional index (PNI), and biochemical inflammatory markers were assessed. The Kaplan-Meier method and Cox regression analysis were used to analyze overall survival (OS) and progression-free survival (PFS).

RESULTS

This study found a disease-specific low muscle mass threshold of LSMI <38.7 cm²/m² for women and <45.1 cm²/m² for men, with 25.2% of patients having disease-specific low muscle mass. Multivariate cox regression analysis revealed that low PNI was found to be an independent unfavorable prognostic factor for both PFS (HR=0.67; 95% CI: 0.48-0.92, P = 0.015) and OS (HR=0.67; 95% CI: 0.50-0.91, P =0.008). Other factors including ECOG PS 3 (HR=7.76; 95% CI: 1.73-34.76, P =0.007), induction CT (HR=0.66; 95% CI: 0.49-0.88, P = 0.004), and disease-specific low muscle mass (HR=1.40; 95% CI: 1.02-1.92, P = 0.038) also had independent effects on prognosis.

CONCLUSIONS

The present study provides evidence that the presence of low muscle mass and low PNI significantly impacts the prognosis of patients with stage III NSCLC who undergo definitive CRT. Furthermore, our study is notable for being the first multicenter investigation to identify a disease-specific low muscle mass threshold.

Nomogram-derived immune-inflammation-nutrition score could act as a novel prognostic indicator for patients with head and neck squamous cell carcinoma

Aim

This study aims to create and validate a novel systematic immune-inflammation-nutrition (SIIN) score to provide a non-invasive and accurate prognostic tool for head and neck squamous cell carcinoma (HNSCC) patients.

Methods

259 participants diagnosed with HNSCC from the First Affiliated Hospital of Xi'an Jiaotong University between 2008 and 2017 was included in this retrospective study. Patients were assigned to training (n=181) and validation (n=78) sets. A LASSO Cox regression model was employed to identify significant biomarkers for constructing a SIIN nomogram and to create SIIN score from this nomogram. The prognostic accuracy of the SIIN score was assessed by exploiting receiver operating characteristic (ROC) analysis, Kaplan-Meier survival analysis, Cox proportional hazard regression models, calibration and DCA curves.

Results

The SIIN score was formulated based on six biomarkers-platelet-lymphocyte ratio (PLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), albumin-bilirubin index (ALBI), fibrinogen (FIB) and monocyte count-identified by LASSO regression analysis. (1)The SIIN score demonstrated superior predictive value, achieving area under the ROC curve (AUC) values of 0.736 and 0.700 for 3- and 5-year OS. For recurrence-free survival (RFS), the AUC values were 0.752 for 3-year and 0.701 5-year RFS, as assessed in the training set. Validated as an independent prognostic factor in both cohorts, the SIIN score showed strong correlation with adverse clinicopathological outcomes.

Conclusion

The SIIN score is a promising prognostic tool that integrates immune, inflammatory, and nutritional factors for predicting clinical outcomes in HNSCC patients. It offers enhanced predictive accuracy compared to existing markers and has the potential to guide personalized treatment strategies and clinical decision-making.

Neoadjuvant gemcitabine and S-1 in pancreatic ductal adenocarcinoma: Effects on nutritional status and pancreaticoduodenectomy outcomes

BACKGROUND

With the advent of improved chemotherapy options, neoadjuvant chemotherapy has gained acceptance as a multidisciplinary treatment approach for localized pancreatic ductal adenocarcinoma. This study aimed to clarify whether neoadjuvant chemotherapy with gemcitabine and S-1 influences preoperative nutritional status and postoperative outcomes, particularly in patients undergoing highly invasive pancreatic resection.

METHODS

Patients with resectable pancreatic ductal adenocarcinoma who underwent pancreaticoduodenectomy as upfront surgery or after neoadjuvant chemotherapy with gemcitabine and S-1 between January 2015 and December 2022 were assessed. In addition to perioperative surgical outcomes, preoperative nutritional status was evaluated using serum albumin, controlling nutritional status, and prognostic nutritional index.

RESULTS

A total of 158 patients who underwent upfront pancreaticoduodenectomy and 119 who received neoadjuvant chemotherapy with gemcitabine and S-1 before pancreaticoduodenectomy were evaluated. Preoperative nutritional assessments (serum albumin, controlling nutritional status score, and prognostic nutritional index) showed no significant differences between groups, either at the initial consultation or immediately before surgery. No significant differences were observed in postoperative outcomes, including blood loss, operation time, and morbidity. The neoadjuvant chemotherapy with gemcitabine and S-1 group had a significantly greater rate of negative tumor margins (R0 resection rate 86% vs 74%, P = .018), and improved overall survival (hazard ratio, 0.41; 95% confidence interval, 0.25-0.67, P < .001) compared with the upfront pancreaticoduodenectomy group.

CONCLUSIONS

Neoadjuvant chemotherapy with gemcitabine and S-1 does not adversely impact preoperative nutritional status and enhances the effectiveness of pancreaticoduodenectomy for resectable pancreatic ductal adenocarcinoma, leading to improved pathologically curative resection rates and overall survival.

Development of a modified nutritional index model based on nutritional status and sarcopenia to predict long-term survival and chemotherapy benefits in elderly patients with advanced gastric cancer

BACKGROUND

Elderly patients with advanced gastric cancer have poor prognoses. This study aims to develop a prediction model for long-term survival after radical surgery and to identify patients who may benefit from chemotherapy.

METHODS

Data from 555 elderly patients with advanced gastric cancer admitted to two medical centers from 2009 to 2018 were retrospectively analyzed. Sarcopenia was combined with the Controlling Nutritional Status (CONUT) score to create a modified nutritional index (mCONUT). Cox regression analyses were used to develop a novel nomogram prediction model (mCNS) that combined mCONUT, pN, and tumor size, and its performance was further verified both internally and externally.

RESULTS

Multivariate Cox analysis revealed that tumor size, pN, and mCONUT were independent prognostic risk factors for overall survival (OS). The mCNS model showed good fit and high predictive value (AUC: training set 0.711; validation set 0.707), outperforming the pTNM model (p < 0.05). To further investigate the association between the model and adjuvant chemotherapy, we categorized the model into two risk groups: a high-risk group and a low-risk group. Further analysis revealed that, in the low-risk group, the OS and recurrence-free survival(RFS) for patients receiving adjuvant chemotherapy was significantly better than that of those who did not receive chemotherapy (p = 0.047,p = 0.019). In the high-risk group, this result was not observed (p = 0.120, p = 0.053).

CONCLUSION

The mCNS model has high predictive value in predicting long-term survival of elderly patients with advanced gastric cancer. Patients with mCNS-L were able to benefit from chemotherapy after laparoscopic radical gastrectomy.

Clinical impact of the prognostic nutritional index and skeletal muscle index for the incompletion of adjuvant chemotherapy for pancreatic cancer

BACKGROUND

Adjuvant chemotherapy is a standard therapeutic option for resected pancreatic cancer. However, the risk factors for incompletion of adjuvant chemotherapy remain unclear.

METHODS

We retrospectively reviewed the medical records of 72 patients who underwent radical pancreatectomy and received S-1 adjuvant chemotherapy for pancreatic cancer. The patients were assigned to two groups according to their completion or incompletion of adjuvant chemotherapy. We compared the perioperative skeletal muscle mass index (SMI) and nutritional status using prognostic nutritional index (PNI) between the two groups.

RESULTS

The completion and incompletion groups included 46 (64 %) and 26 (36 %) patients, respectively. Overall survival was shorter in the incompletion group than in the completion group (median survival time, 20.2 months vs. 42.0 months; log-rank, p = 0.018). Decreasing rate of PNI (12.7 % vs. 0.2 %, p = 0.010) and decreasing rate of SMI (26.9 % vs. 12.5 %, p = 0.001) were significantly larger in the incompletion group than in the completion group. Multivariate analysis showed that decreasing rate of PNI (p = 0.016), decreasing rate of SMI (p = 0.013), and old age (p = 0.049) were independent risk factors for incompletion of S-1 adjuvant chemotherapy. Regarding the time-series variations, PNI improved from 1 to 3 months after pancreatectomy in the completion group (p = 0.006). Furthermore, the decreasing slope of SMI was stronger in the incompletion group.

CONCLUSION

Postoperative decrease of PNI and SMI is associated with the incompletion of S-1 adjuvant chemotherapy.

SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer

Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlighting the role of pharmacogenomics in developing better predictive models. We analyzed 379 CRC patients receiving fluorouracil-based chemotherapy, collecting data on fluorouracil metabolism-related SNPs (TYMS, MTHFR, DPYD, RRM1), blood inflammatory markers, and clinical status. Six machine learning models-K-nearest neighbors, support vector machine, gradient boosting decision trees (GBDT), eXtreme Gradient Boosting (XGBoost), LightGBM, and random forest-were compared against multivariate logistic regression and a deep learning model (i.e., multilayer perceptron, MLP). Feature importance analysis highlighted seven predictors: histological grade, N and M staging, monocyte count, platelet-to-lymphocyte ratio, MTHFR rs1801131, and RRM1 rs11030918. In a five-fold cross-validation, XGBoost and GBDT exhibited superior performance, with Area Under Curve (AUC) of 0.88 ± 0.02. XGBoost excelled in identifying favorable prognosis (recall = 0.939). GBDT demonstrated balance in recognizing both categories, with a recall for favorable prognosis of 0.908 and a precision for unfavorable prognosis of 0.863. MLP had a similar AUC (0.87) with high precision for favorable prognosis (recall = 0.946). In external validation, XGBoost model achieved an accuracy of 0.79. An online prognostic tool based on XGBoost was developed, integrating metabolism-related SNPs and inflammatory markers, enhancing CRC treatment precision and supporting tailored chemotherapy.

The association between pruritic dermatoses and inflammatory factors on sleep disorders: a cross-sectional study of the National Health and Nutrition Examination Survey (NHANES)

Pruritic dermatoses and sleep disorders have significant impacts on the health and quality of life of patients. Inflammatory conditions may lead to the sensation of itching. This study was to evaluate the association between pruritic dermatoses and inflammatory factors on sleep disorders. Data in the cross-sectional study were extracted from the National Health and Nutrition Examination Survey. The study population was divided into participants with and without sleep disorders. Pruritic dermatoses were assessed by the participant's self-report. Inflammatory factors included white blood cell count (WBC), lymphocyte count (LYM) and prognostic nutritional index (PNI). Logistic regression models were used with odds ratios and confidence intervals. The attributable proportion of interaction (AP) was utilized to assess the interaction between pruritic dermatoses and inflammatory factors on sleep disorders. Totally, 3,520 participants were included and 214 (6.08%) had sleep disorders. Pruritic dermatoses were associated with sleep disorders after adjusting for gender, age, race, marital status, body mass index, drinking, smoking, asthma, hay fever, allergy, depression and caffeine. LYM was associated with sleep disorders when inflammatory factors were divided by median. The interaction between participants without pruritic dermatoses and PNI < median on sleep disorders was observed compared to participants without pruritic dermatoses and PNI > median. Pruritic dermatoses were significantly associated with sleep disorders. We also found that a high level of PNI had an enhanced effect on the relationship between pruritic dermatoses and sleep disorders. Clinicians should focus on the potential sleep-related risks and changes in inflammatory factors in patients with pruritic dermatoses and intervene in time.

The role of lymphocyte-C-reactive protein ratio in the prognosis of gastrointestinal cancer: a systematic review and meta-analysis

Objective

The lymphocyte-to-C-reactive protein (LCR) ratio, an immune-inflammatory marker, shows prognostic potential in various cancers. However, its utility in gastrointestinal malignancies remains uncertain due to inconsistent findings. This systematic review and meta-analysis synthesizes recent evidence to elucidate the association between LCR and prognosis in gastrointestinal cancer patients, aiming to clarify LCR's potential role as a prognostic biomarker.

Methods

We searched PubMed, Embase, Cochrane, and Web of Science databases up to May 2024 to evaluate the association between LCR and prognosis in gastrointestinal cancer patients. The main outcomes included overall survival (OS), recurrence-free survival (RFS), and disease-free survival (DFS). We also analyzed secondary parameters such as geographical region, study duration, sample size, LCR threshold, and patient characteristics (age, gender, tumor location, and TNM stage).

Results

This meta-analysis of 21 cohort studies (n=9,131) finds a significant association between reduced LCR levels and poor prognosis in gastrointestinal cancer. Lower LCR levels were associated with worse overall survival (HR=2.01, 95% CI=1.75-2.31, P<0.001), recurrence-free survival (HR=1.90, 95% CI=1.32-2.76, P<0.001), and disease-free survival (HR=1.76, 95% CI=1.45-2.13, P<0.001). Subgroup analyses by cancer type, timing, and LCR threshold consistently confirmed this relationship (P<0.05).

Conclusion

LCR may serve as a prognostic marker in gastrointestinal cancer patients, with lower LCR levels associated with poorer prognosis. However, more high-quality studies are needed to validate these findings, considering the limitations of the current evidence.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023486858.

Decoding the Prognostic Significance and Therapeutic Implications of Inflammation-Based Scores in Hepatocellular Carcinoma: A Comprehensive Review

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, posing a significant global health challenge with an increasing incidence. In recent years, multiple staging systems and scores have been proposed, emphasising the necessity for the development of precise prognostic tools. The well-documented etiological relationship between chronic inflammation and carcinogenesis has prompted researchers to explore novel prognostic markers associated with the inflammatory status of HCC patients. This review summarises the current data about inflammation-based scores in the context of HCC. We discuss established scores like the Glasgow Prognostic Score (GPS), modified GPS (mGPS) and the neutrophil-to-lymphocyte ratio (NLR) and others not as extensively studied, examining their utility in predicting survival outcomes and treatment response in HCC patients. Furthermore, we explore emerging scores, including the prognostic nutritional index (PNI) and other lymphocyte-based scores, assessing their potential in refining risk stratification and guiding therapeutic decisions in the era of precision medicine. As research progresses and these scores undergo further refinement and integration into the evolving landscape of HCC management, they carry significant potential for improving patient outcomes.

Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma

BACKGROUND/AIMS

The performance of machine learning (ML) in predicting the outcomes of patients with hepatocellular carcinoma (HCC) remains uncertain. We aimed to develop risk scores using conventional methods and ML to categorize early-stage HCC patients into distinct prognostic groups.

METHODS

The study retrospectively enrolled 1,411 consecutive treatment-naïve patients with the Barcelona Clinic Liver Cancer (BCLC) stage 0 to A HCC from 2012 to 2021. The patients were randomly divided into a training cohort (n=988) and validation cohort (n=423). Two risk scores (CATS-IF and CATS-INF) were developed to predict overall survival (OS) in the training cohort using the conventional methods (Cox proportional hazards model) and ML-based methods (LASSO Cox regression), respectively. They were then validated and compared in the validation cohort.

RESULTS

In the training cohort, factors for the CATS-IF score were selected by the conventional method, including age, curative treatment, single large HCC, serum creatinine and alpha-fetoprotein levels, fibrosis-4 score, lymphocyte-tomonocyte ratio, and albumin-bilirubin grade. The CATS-INF score, determined by ML-based methods, included the above factors and two additional ones (aspartate aminotransferase and prognostic nutritional index). In the validation cohort, both CATS-IF score and CATS-INF score outperformed other modern prognostic scores in predicting OS, with the CATSINF score having the lowest Akaike information criterion value. A calibration plot exhibited good correlation between predicted and observed outcomes for both scores.

CONCLUSION

Both the conventional Cox-based CATS-IF score and ML-based CATS-INF score effectively stratified patients with early-stage HCC into distinct prognostic groups, with the CATS-INF score showing slightly superior performance.

Clinical Significance of Prognostic Nutrition Index in Patients with Crohn's Disease after Primary Bowel Resection

PURPOSE

Although advancements in medical treatments have been made, approximately half of patients with intestinal Crohn's disease (CD) require intestinal resections during their lifetime. It is well-known that the nutritional status of CD patients can impact postoperative morbidity. The objective of this study was to evaluate the clinical significance of prognostic nutritional index (PNI) in patients with intestinal CD who underwent primary bowel resection.

MATERIALS AND METHODS

We retrospectively investigated patients who were diagnosed with CD and underwent intestinal surgery at Severance Hospital between January 2005 and October 2018. The patients were divided into two groups: PNI ≤40 (n=150) and PNI >40 (n=77). We assessed the clinical significance of PNI in terms of the incidence of postoperative infectious complications (PICs) and the postoperative recurrence of CD.

RESULTS

The low PNI group had significantly higher rates of infectious complications (32.0% vs. 10.4%, p=0.001) compared to the high PNI group. Multivariable analysis identified low PNI (≤40) and longer operation time (>180 min) as independent risk factors associated with PICs [odds ratio (OR)=2.754, 95% confidence interval (CI)=1.140-6.649, p=0.024; OR=2.986, 95% CI=1.451-6.143, p=0.003]. PICs were significantly associated with surgical recurrence (hazard ratio=2.217, 95% CI=1.064-4.617, p=0.034).

CONCLUSION

Preoperative PNI could serve as a predictive factor for PICs in CD patients who undergo intestinal resection. Additionally, PICs are significantly associated with a higher risk of surgical recurrence in CD.

Exploring the Impact of Adequate Energy Supply on Nutrition, Immunity, and Inflammation in Elderly Patients with Chronic Obstructive Pulmonary Disease

Background

Chronic Obstructive Pulmonary Disease (COPD) progression in the elderly is notably influenced by nutritional, immune, and inflammatory status. This study aimed to investigate the impact of adequate energy supply on these indicators in COPD patients.

Methods

COPD patients meeting specific criteria were recruited and categorized into energy-adequate and energy-deficient groups based on their energy supply. Comparable demographic factors such as age, gender, smoking and drinking history, COPD duration, inhaled drug classification, and home oxygen therapy application were observed. Notable differences were found in BMI and inhaled drug use between the two groups.

Results

The energy-adequate group exhibited significant improvements in various health indicators, including lymphocyte count, hemoglobin, CRP, total cholesterol, prealbumin, albumin, PNI, SII, SIRI, CAR, and CONUT scores in the secondary auxiliary examination. These positive changes suggest a notable enhancement in nutritional, immune, and inflammatory status.

Conclusion

This research highlights the substantial benefits of adequate energy supply in elderly COPD patients. The observed improvements in nutritional, immune, and inflammatory markers underscore the importance of addressing energy needs to positively influence disease-related outcomes in this population. These findings have implications for developing targeted interventions to optimize the well-being of elderly individuals with COPD.

Emerging Prognostic Markers in Patients Undergoing Liver Resection for Hepatocellular Carcinoma: A Narrative Review

In patients with hepatocellular carcinoma (HCC), liver resection is potentially curative. Nevertheless, post-operative recurrence is common, occurring in up to 70% of patients. Factors traditionally recognized to predict recurrence and survival after liver resection for HCC include pathologic factors (i.e., microvascular and capsular invasion) and an increase in alpha-fetoprotein level. During the past decade, many new markers have been reported to correlate with prognosis after resection of HCC: liquid biopsy markers, gene signatures, inflammation markers, and other biomarkers, including PIVKA-II, immune checkpoint molecules, and proteins in urinary exosomes. However, not all of these new markers are readily available in clinical practice, and their reproducibility is unclear. Liquid biopsy is a powerful and established tool for predicting long-term outcomes after resection of HCC; the main limitation of liquid biopsy is represented by the cost related to its technical implementation. Numerous patterns of genetic expression capable of predicting survival after curative-intent hepatectomy for HCC have been identified, but published findings regarding these markers are heterogenous. Inflammation markers in the form of prognostic nutritional index and different blood cell ratios seem more easily reproducible and more affordable on a large scale than other emerging markers. To select the most effective treatment for patients with HCC, it is crucial that the scientific community validate new predictive markers for recurrence and survival after resection that are reliable and widely reproducible. More reports from Western countries are necessary to corroborate the evidence.

May the prognostic nutritional index (PNI) play a role in predicting age-related macular degeneration?

AIM

It is known that a healthy and balanced diet plays an important role in the etiopathogenesis of age-related macular degeneration (AMD). The aim of this study is to show the possible relationship between the prognostic nutritional index (PNI) and AMD.

METHODS

This observational longitudinal study included 50 patients who were diagnosed with AMD and 100 participants as control group in the Ophthalmology Polyclinic of Kırşehir Ahi Evran Training and Research Hospital between December 2022 and February 2023. The PNI scores of the patients were calculated with the formula (10 × albumin (g/L) + (0.005 × total lymphocyte count), using routine hemogram and biochemical assays.

RESULTS

One hundred fifty participants were included in the study (average age: 73.7 ± 8.6 years, male: 53.3%). When adjusted for age, sex, and total comorbidity index score via multivariate logistic regression analysis, the association between AMD and PNI scores (OR = 0.3; CI: 0.2-0.4; p = 0.01) and Charlson Comorbidity Index (CCI) scores (OR = 6.8; CI: 2.8-16.6; p = 0.01) was statistically significant.

CONCLUSION

The use of PNI scores may be practical and useful in routine clinical practice for predicting AMD.

Prediction of Post-Gastrectomy Pancreatic Complications: A Preoperative Imaging Study Based on Computed Tomography

BACKGROUND

Postoperative pancreas-related complications (PPRCs) are common after laparoscopic gastrectomy (LG) in patients with gastric cancer. We estimated the anatomical location of the pancreas on a computed tomography (CT) image and investigated its impact on the incidence of PPRCs after LG.

METHODS

We retrospectively reviewed the preoperative CT images of 203 patients who underwent LG for gastric cancer between January 2010 and December 2017. From these images, we measured the gap between the upper edge of the pancreatic body and the root of the common hepatic artery. We evaluated the potential relationship between PPRCs and the gap between pancreas and common hepatic artery (GPC) status using an analysis based on the median cutoff value and assessed the impact of GPC status on PPRC incidence. We performed univariate and multivariate analyses to identify predictive factors for PPRC.

RESULT

Postoperative pancreas-related complications occurred in 11 patients (5.4%). The median of the optimal cutoff GPC value for predicting PPRC was 0 mm; therefore, we classified the GPC status into two groups: GPC plus group and GPC minus group. Univariate analysis revealed that sex (male), C-reactive protein (CRP) > .07 mg/dl, GPC plus, and visceral fat area (VFA) > 99 cm2 were associated with the development of PPRC. Multivariate analysis identified only GPC plus as independent predictor of PPRC (hazard ratio: 4.60 [95% confidence interval 1.11-31.15], P = .034).

CONCLUSION

The GPC is a simple and reliable predictor of PPRC after LG. Surgeons should evaluate GPC status on preoperative CT images before proceeding with laparoscopic gastric cancer surgery.

Prognostic Nutritional Index as a Prognostic Factor for Very Early-Stage Hepatocellular Carcinoma

INTRODUCTION

Field factors play more important roles in predicting the outcomes of patients compared with tumor factors in early-stage hepatocellular carcinoma (HCC). However, the prognostic ability of noninvasive serum marker scores for hepatic fibrosis and liver functional reserve on very early-stage HCC is still not yet determined. We aimed to investigate the performance of these serum marker scores in predicting the prognoses of patients with very early-stage HCC.

METHODS

A total of 446 patients with very early-stage HCC from 2012 to 2022 were retrospectively enrolled. Serum biomarkers and prognostic scores determining overall survival (OS) were analyzed by Cox proportional hazards model. We compared the Akaike information criterion among the prognostic nutritional index (PNI), aspartate aminotransferase-to-platelet ratio index, albumin-bilirubin (ALBI) score, EZ (easy)-ALBI score, modified ALBI score, fibrosis-4 score, and lymphocyte-to-monocyte ratio to determine the predictability on the OS.

RESULTS

After a median follow-up of 41.0 months (interquartile range 36.9-45.1 months), 81 patients died, with a 5-year OS rate of 71.0%. Among the noninvasive serum marker scores, PNI had the best performance in predicting the OS with the lowest Akaike information criterion (846.407) compared with other scores. Moreover, we stratified the patients into high-risk (PNI <45) and low-risk (PNI ≥45) groups. It showed that the 5-year OS rates were 83.4% and 60.8% in the low-risk and high-risk PNI groups, respectively ( P < 0.001).

DISCUSSION

PNI had the best performance in predicting the OS for patients with very early-stage HCC.

Lower Geriatric Nutritional Risk Index and Prognostic Nutritional Index Predict Postoperative Prognosis in Patients with Hepatocellular Carcinoma

Increasing evidence suggests that nutritional indices, including the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI), are predictors of poor prognosis in patients with hepatocellular carcinoma (HCC). Hence, this study aimed to explore the value of the GNRI and PNI in evaluating postoperative prognosis in patients with HCC, particularly regarding its recurrence patterns. We performed a retrospective analysis of 203 patients with HCC who underwent initial hepatic resection. Patients were divided into two groups according to the GNRI (cutoff: 98) and PNI (cutoff: 45). The GNRI and PNI were significantly associated with body composition (body mass index and skeletal muscle mass index), hepatic function (Child-Pugh Score), tumor factors (tumor size and microvascular invasion), and perioperative factors (blood loss and postoperative hospitalization). Patients with a low PNI or low GNRI had significantly worse overall survival (OS) and recurrence-free survival. Patients with early recurrence had lower PNI and GNRI scores than those without early recurrence. Patients with extrahepatic recurrence had lower PNI and GNRI scores than those without extrahepatic recurrence. The PNI and GNRI might be useful in predicting the prognosis and recurrence patterns of patients with HCC after hepatic resection.

Prognostic nutritional index during hospitalization correlates with adverse outcomes in elderly patients with acute myocardial infarction: a single-center retrospective cohort study

BACKGROUND AND AIMS

Acute myocardial infarction (AMI) is one of the most prevalent illnesses endangering the elderly's health. The predictive nutritional index (PNI) has been shown in several studies to be a good predictor of nutritional prognosis. In this study, we explored the correlation between PNI during hospitalization and the outcome of elderly AMI patients.

METHODS

Elderly AMI patients in the Cardiac Intensive Care Unit of Huadong Hospital from September 2017 to April 2020 were recruited for analysis. The clinical and laboratory examination data of subjects were retrieved. All enrolled patients were monitored following discharge. The primary clinical endpoints encompass major adverse cardiovascular events (MACEs) and Composite endpoint (MACEs and all-cause mortality). Survival analyses were conducted via the Kaplan-Meier and the log-rank analyses, and the Cox, proportional hazards model, was employed for hazard rate (HR) calculation.

RESULTS

307 subjects were recruited for analysis. The optimal PNI threshold is 40.923. Based on the Kaplan-Meier analysis, the elevated PNI group experienced better prognosis (P < 0.001). Cox analysis demonstrated that the PNI group was a stand-alone predictor for elderly AMI patient prognosis (HR = 1.674, 95% CI 1.076-2.604, P = 0.022). Subgroup analysis showed that the HR of the PNI group was the highest in the ST-segment elevation myocardial infarction (STEMI) subgroup (HR = 3.345, 95% CI 1.889-5.923, P = 0.05), but no discernible difference was observed in the non-ST-segment elevation myocardial infarction (NSTEMI) subgroup.

CONCLUSION

Based on our analyses, the PNI during hospitalization can accurately predict the prognosis of elderly STEMI patients but not that of elderly NSTEMI patients.

Systemic immune index predicts tumor-infiltrating lymphocyte intensity and immunotherapy response in small cell lung cancer

Background

Despite recent progresses in immune checkpoint blockade (ICB) in small-cell lung cancer (SCLC), a lack of understanding regarding the systemic tumor immune environment (STIE) and local tumor immune microenvironment (TIME) makes it difficult to accurately predict clinical outcomes and identify potential beneficiaries from ICB therapy.

Methods

We enrolled 191 patients with stage I-III SCLC and comprehensively evaluated the prognostic role of STIE by several quantitative measurements, and further integrate it with a local immune score system (LISS) established by eXtreme Gradient Boosting (XGBoost) machine learning algorithm. We also test the value of STIE in beneficiary selection in our independent advanced SCLC cohort receiving programmed cell death 1 ligand 1 (PD-L1) blockade therapy.

Results

Among several systemic immune markers, the STIE as assessed by prognostic nutritional index (PNI) was correlated with disease-free survival (DFS) and overall survival (OS), and remained as an independent prognostic factor for SCLC patients [hazard ratio (HR): 0.473, 95% confidence interval (CI): 0.241-0.929, P=0.030]. Higher PNI score was closely associated with inflamed SCLC molecular subtype and local tumor-infiltrating lymphocytes (TILs). We further constructed a LISS which combined top three important local immune biomarkers (CD8+ T-cell count, PD-L1 expression on CD8+ T-cell and CD4+ T-cell count) and integrated it with the PNI score. The final integrated immune risk system was an independent prognostic factor and achieved better predictive performance than Tumor Node Metastasis (TNM) stages and single immune biomarker. Furthermore, PNI-high extensive-stage SCLC patients achieved better clinical response and longer progression-free survival (PFS) (11.8 vs. 5.9 months, P=0.012) from PD-L1 blockade therapy.

Conclusions

This study provides a method to investigate the prognostic value of overall immune status by combining the PNI with local immune biomarkers in SCLC. The promising clinical application of PNI in efficacy prediction and beneficiary selection for SCLC immunotherapy is also highlighted.

Presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients than for young sepsis patients in ICUs: a pilot study

OBJECTIVE

Sepsis is a syndrome of life-threatening organ dysfunction. This study aimed to determine whether presepsin is a useful predictor of septic acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), and shock in very-old sepsis patients aged 75 years in intensive care units (ICUs).

RESULTS

A total of 83 adult patients diagnosed with sepsis were prospectively examined and divided into two groups: those aged 75 years and older (over 75 group) and those aged younger than 75 years (under 75 group). Presepsin values were measured after ICU admission. Inflammation-based prognostic scores were also examined. For category classification, total scores ("inflammation-presepsin scores [iPS]") were calculated. Presepsin values, inflammation-based prognostic scores, and iPS were compared between patients with septic AKI, ARDS, DIC, or shock and those without these disorders in the over 75 and under 75 groups. Areas under the curve of presepsin for predicting septic AKI and ARDS in the over 75 group were both > 0.7, which were significantly higher than those in the under 75 group. In conclusion, presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients (over 75 years) than for younger sepsis patients (under 75 years).

A nomogram prognostic model for early hepatocellular carcinoma with diabetes mellitus after primary liver resection based on the admission characteristics

Background: Patients diagnosed with early-stage hepatocellular carcinoma (HCC) and diabetes mellitus (DM) are at a higher risk of experiencing complications and facing increased mortality rates. Hence, it is crucial to develop personalized clinical strategies for this particular subgroup upon their admission. The objective of this study is to determine the key prognostic factors in early HCC patients who received liver resection combined with DM and develop a practical personalized model for precise prediction of overall survival in these individuals. Method: A total of 1496 patients diagnosed hepatitis B virus (HBV) - related liver cancer from Beijing You'an Hospital were retrospectively enrolled, spanning from 1 January 2014, to 31 December 2019, and ultimately, 622 eligible patients of hepatocellular carcinoma (HCC) patients with diabetes were included in this present investigation. A multivariate COX regression analysis was conducted to identify prognostic factors that are independent of each other and develop a nomogram. The performance of the nomogram was evaluated using various statistical measures such as the C-index, receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) in both the training and validation groups. Survival rates were estimated using the Kaplan-Meier method. Results: The study included a total of 622 early HCC patients who underwent liver resection combined with DM. Random Forrest model and Multivariate Cox regression analysis revealed that drinking, tumor number, monocyte-to-lymphocyte ratio, white blood cell count and international normalized ratio at admission were identified as independent prognostic factors for early HCC patients who underwent liver resection combined with DM. The nomogram demonstrated good predictive performance in the training and validation cohorts based on the C-index values of 0 .756 and 0 .739 respectively, as well as the area under the curve values for 3-, 5-, and 8-year overall survival (0.797, 0.807, 0.840, and 0.725, 0.791, 0.855). Calibration curves and decision curve analysis indicated high accuracy and net clinical benefit rates. Furthermore, the nomogram successfully stratified enrolled patients into low-risk and high-risk groups based on their risk of overall survival. The difference in overall survival between these two groups was statistically significant in both the training and validation cohorts (p < 0.0001 and p = 0.0064). Conclusion: Our results indicate that the admission characteristics demonstrate a highly effective ability to predict the overall survival of early HCC patients who have undergone liver resection in combination with DM. The developed model has the potential to support healthcare professionals in making more informed initial clinical judgments for this particular subgroup of patients.

Correlation of Hematological Parameters With Clinical Outcomes in Cervical Cancer Patients Treated With Radical Radio(chemo)therapy: A Retrospective Study

PURPOSE

Variations in the levels of systemic inflammatory biomarker levels have been linked with outcomes in various malignancies including cervical cancer. In this study, we investigated prognostic implications of pretreatment hematological factors/indices in locally advanced cervical cancers treated with radical radio(chemo)therapy.

METHODS AND MATERIALS

Electronic medical records of 1051 patients with cervical cancer of FIGO (International Federation of Gynecology and Obstetrics) stage IB2-IVA treated in various prospective trials at our institute between 2003 and 2017 were reviewed. All clinical parameters such as age (dichotomized at the median), stage (IB2-IIB vs III-IVA), histologic type (squamous vs others), and hematological parameters (hemoglobin, platelets, absolute neutrophil count, absolute lymphocyte count, absolute monocyte count) were recorded. Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and prognostic nutritional index (PNI; defined as 10 × albumin concentration [g/dL] + 0.005 × total lymphocyte count [μL]) were calculated. Univariate and multivariate (Cox regression) analyses were performed to evaluate these factors with disease-free survival (DFS) and overall survival (OS).

RESULTS

With a median follow-up of 69 months, the 5-year DFS and OS were 65% and 69%, respectively. On multivariate analysis, FIGO stage (hazard ratio [HR], 1.9; P = .000) and PLR (HR, 1.002; P = .008) significantly affected DFS while FIGO stage (HR, 1.804; P = .000), LMR (HR, 0.92; P = .018), PNI (HR, 0.96; P = .013), and PLR (HR, 1.002; P = .006) significantly affected OS. Apart from FIGO stage, PLR significantly affected both DFS and OS. This correlation of hematological parameters is stronger in stage IIIB cervical cancer.

CONCLUSIONS

Hematological indices, including PNI, PLR, and LMR, can serve as reliable prognostic indicators for patients with cervical cancer. By incorporating these indices into routine assessment and monitoring, clinicians can better stratify patients, personalize treatment plans, and more accurately predict outcomes, ultimately improving patient care and management.

Prognostic Nutritional Index Correlates with Liver Function and Prognosis in Chronic Liver Disease Patients

The Prognostic Nutritional Index (PNI) is widely recognized as a screening tool for nutrition. We retrospectively examined the impact of PNI in patients with chronic liver disease (CLD, n = 319, median age = 71 years, 153 hepatocellular carcinoma (HCC) patients) as an observational study. Factors associated with PNI < 40 were also examined. The PNI correlated well with the albumin-bilirubin (ALBI) score and ALBI grade. The 1-year cumulative overall survival rates in patients with PNI ≥ 40 (n = 225) and PNI < 40 (n = 94) were 93.2% and 65.5%, respectively (p < 0.0001). In patients with (p < 0.0001) and without (p < 0.0001) HCC, similar tendencies were found. In the multivariate analysis, hemoglobin (p = 0.00178), the presence of HCC (p = 0.0426), and ALBI score (p < 0.0001) were independent factors linked to PNI < 40. Receiver operating characteristic (ROC) curve analysis based on survival for the PNI yielded an area under the ROC curve of 0.79, with sensitivity of 0.80, specificity of 0.70, and an optimal cutoff point of 42.35. In conclusion, PNI can be a predictor of nutritional status in CLD patients. A PNI of <40 can be useful in predicting the prognosis of patients with CLD.

The prognostic nutritional index (PNI) is independently associated with 90-day and 12-month mortality after metastatic spinal tumor surgery

INTRODUCTION

Estimated postoperative survival is an important consideration during the decision-making process for patients with spinal metastases. Nutritional status has been associated with poor outcomes and limited survival in the general cancer population. The objective of this study was to evaluate the predictive utility of the prognostic nutritional index (PNI) for postoperative mortality after spinal metastasis surgery.

METHODS

A total of 139 patients who underwent oncologic surgery for spinal metastases between April 2012 and August 2022 and had a minimum 90-day follow-up were included. PNI was calculated using preoperative serum albumin and total lymphocyte count, with PNI < 40 defined as low. The mean PNI of our cohort was 43 (standard deviation: 7.7). The primary endpoint was 90-day mortality, and the secondary endpoint was 12-month mortality. Multivariate logistic regression analyses were performed.

RESULTS

The 90-day mortality was 27% (37/139), and the 12-month mortality was 56% (51/91). After controlling for age, ECOG performance status, total psoas muscle cross-sectional area (TPA), and primary cancer site, the PNI was associated with 90-day mortality [odds ratio 0.86 (95% confidence interval 0.79-0.94); p = 0.001]. After controlling for ECOG performance status and primary cancer site, the PNI was associated with 12-month mortality [OR 0.89 (95% CI 0.82-0.97); p = 0.008]. Patients with a low PNI had a 50% mortality rate at 90 days and an 84% mortality rate at 12 months.

CONCLUSION

The PNI was independently associated with 90-day and 12-month mortality after metastatic spinal tumor surgery, independent of performance status, TPA, and primary cancer site.

Association between the prognostic nutritional index and severe headache or migraine: a population-based study

PURPOSE

Migraine is a highly prevalent headache disorder, and intake of various nutrients and special diets may improve migraine symptoms. We aimed to clarify the association between nutritional status and migraine.

PATIENTS AND METHODS

We collected the data of 1838/8953 (migraineurs/all participants) from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 cycle. We used weighted multivariable linear or logistic regression analyses to study the association between the prognostic nutritional index (PNI) and the occurrence of severe headache or migraine.

RESULTS

After adjusting for confounding variables, we found that mild (PNI 45-50) or moderate to severe (PNI <45) malnutrition were associated with higher prevalence of severe headache or migraine (odds ratio [OR] 1.06, 95% confidence interval [CI] 1.00-1.12, P = 0.004; OR 1.07, 95% CI 1.03-1.12, P < 0.001). In addition, we found that those with severe headache or migraine consumed less alcohol, dietary fiber, cholesterol, total folate, vitamin A, riboflavin, vitamin B6, vitamin B12, vitamin C, vitamin K, selenium, potassium, magnesium, and copper, and consumed more caffeine and theobromine than did those without severe headache or migraine.

CONCLUSION

The PNI is associated with migraine prevalence, and may thus serve as a predictor of migraine risk and highlights the potential of nutrition-based strategies for migraine prevention and treatment.

The prognostic nutritional index and tumor pathological characteristics predict the prognosis of elderly patients with early-stage hepatocellular carcinoma after surgery

The elderly comprises over one-third of hepatocellular carcinoma (HCC) patients, however, they are not adequately represented in prognostic studies. The study aims to determine the prognostic significance of the preoperative prognostic nutritional index (PNI) and develop nomograms for predicting their recurrence-free and overall survival (RFS and OS). The study consisted of 282 elderly patients (aged ≥ 65 years) with early-stage HCC (China Liver Cancer Staging System: I-IIA) after curative resection (R0). They were randomly divided into a training (n = 197) and a test cohort (n = 85). The patients were stratified into two groups: PNI-low (PNI ≤ 49.05) and PNI-high (PNI > 49.05) based on a cut-off value. Most patients' demographics and perioperative outcomes were comparable, while patients in the PNI-high group were younger (P = 0.002), heavier (P < 0.001), and had lower comorbidity rates (P = 0.003). Although the tumor stages were earlier in the PNI-low group (P < 0.001), patients' OS (5-year OS: 48.9% vs. 93.1%) and RFS (5-year RFS: 27.3% vs. 75.7%) were significantly worse compared to the PNI-high group (both P < 0.0001). Patients' OS and RFS nomograms were developed by incorporating independent survival predictors including chronic obstructive pulmonary disease (COPD), age ≥ 75 years, PNI-low, tumor presence of satellite nodules, capsule, and microvascular invasion. The nomograms showed good calibration and discrimination, with all C-indexes ≥ 0.75 and calibration plots essentially coinciding with the diagonal. In conclusion, for elderly HCC patients, COPD, age ≥ 75 years, PNI-low, and tumor presence of satellite nodules, capsule, and microvascular invasion were independent prognostic factors. The nomogram could accurately predict the prognosis of these patients.

Prognostic Value of Controlling Nutritional Status Score in Advanced Hypopharyngeal Cancer

OBJECTIVE

The purpose of this study was to investigate the prognostic significance of the preoperative controlling nutritional status (CONUT) score in patients with resectable advanced hypopharyngeal cancer.

METHODS

This retrospective study included 113 advanced hypopharyngeal cancer patients who underwent curative resection in our hospital from 2013 to 2017. The association between the CONUT score and clinicopathological variables was evaluated. The association between CONUT score and survival was analyzed using Kaplan-Meier survival curves and Cox regression. The efficacy of the CONUT score and other immune-nutritional markers to predict prognosis was compared using a time-dependent receiver operating characteristic (ROC).

RESULTS

Patients were divided into the high-CONUT score group (≥3) and the low-CONUT score group (≤2) according to ROC analysis. The CONUT score was associated with body mass index (p = 0.047), monocyte (p = 0.021), pharyngocutaneous fistula (p = 0.045), flap repairment (p = 0.034), tumor (T) classification (p = 0.034), node (N) classification (p = 0.036), subsite of tumor (p = 0.035), and negative pathologic factors (p < 0.001). Tumor, node, metastasis (TNM) stage, negative pathologic factors, adjuvant radiotherapy, postoperative chemoradiotherapy, and CONUT score were independent prognostic factors for survival. Patients with a higher CONUT score had worse overall survival (OS) (hazard ratio: 2.76, 95% confidence interval [CI]: 1.44-5.29, p = 0.002) and disease-free survival (hazard ratio: 2.51, 95% CI: 1.28-4.91, p = 0.007). The area under the curve of the CONUT score (0.799) to predict 5-year OS was greater than those of Preoperative Nutritional Index (0.769), platelet-to-lymphocyte ratio (0.643), neutrophil-to-lymphocyte ratio (0.565), and lymphocyte-to-monocyte ratio (0.577).

CONCLUSION

The CONUT score is a prognostic marker for patients with resectable advanced hypopharyngeal cancer.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:2613-2620, 2023.

Association between the Prognostic Nutritional Index and Chronic Microvascular Complications in Patients with Type 2 Diabetes Mellitus

The prognostic nutritional index (PNI) is associated with inflammatory conditions. Since type 2 diabetes mellitus (T2DM) and its microvascular complications produce a significant inflammatory burden, we aimed to compare the PNI levels of the subjects with T2DM to those of healthy individuals. Furthermore, we aimed to compare the PNI levels of the diabetic subjects, with and without microvascular complications. The study cohort consisted of T2DM patients and healthy volunteers. The general characteristics, laboratory data, and PNI of the T2DM and control groups were compared. We further compared the PNI levels of the diabetic patients, with and without diabetic microvascular complications. The PNI levels of the T2DM patients and the control group were 51.6 (30.1-73.8)% and 64.8 (49.4-76)%, respectively (p < 0.001). Subgroup analyses revealed that the PNI was lower in the diabetic subjects with diabetic microvascular complications than in the diabetic patients without microvascular complications (p < 0.001), in patients with diabetic nephropathy compared to those without nephropathy (p < 0.001), in patients with diabetic retinopathy compared to those without retinopathy (p < 0.001), and in patients with diabetic neuropathy compared to those without neuropathy (p < 0.001). In conclusion, we assert that assessing the PNI may yield additional diagnostic value in regards to the timely determination of diabetic microvascular complications.

Blood biomarkers in the application of diagnosis and prediction of overall survival for 1089 patients with nasopharyngeal carcinoma

Previous studies have indicated that some blood metrics play a crucial role in the diagnostic and prognostic values of various solid tumours. However, their comprehensive and unbiased comparison for nasopharyngeal carcinoma (NPC) has not been performed. Twenty blood metrics evaluated in tumours or noncancerous diseases were selected. We selected 1089 patients with NPC and analyzed the relationship between these metrics, clinical characteristics, and overall survival (OS). The albumin and prognostic nutritional index (PNI) exhibited a high area under the curve (AUC) value (> 0.7) together with high "sensitivity (Sen) + specificity (Spe) (> 1.5)" or Youden index (> 0.5) when compared to healthy populations. In comparing NPC and nasal polyps, 9 of 20 blood metrics showed a high AUC value (> 0.7). However, only the PNI and international normalised ratio show a sufficiently high Sen + Spe or Youden Index. None of them could distinguish the status of the TNM classification well. Only the lymphocyte-to-monocyte ratio (LMR) could predict the OS of patients with NPC (cut-off, 4.91; p = 0.0069). Blood metrics as non-invasive biomarkers are valuable tools for clinical management. Among these indicators, PNI is the most ideal indicator to distinguish NPC from healthy and nasal polyps. The LMR has good prognostic value.

Significance of the Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Preoperative Nutritional Index as Predictors of Morbidity in Patients Who Underwent Liver Resection for Alveolar Echinococcosis

AIM

We aimed to evaluate the significance of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and preoperative nutritional index (PNI) as predictors of morbidity in patients who underwent liver resection for alveolar echinococcosis.

MATERIAL AND METHODS

This single-center study was designed as a retrospective study after obtaining ethical committee approval. The files of patients hospitalized at Ataturk University Faculty of Medicine, Erzurum, Turkey, between 2010 and 2019 and who underwent resection or liver transplantation for liver alveolar cysts were reviewed. Demographic features, laboratory parameters (complete blood count and biochemical parameters), lesion localizations and characteristics, type of surgery, intraoperative and postoperative complications (morbidity), and mortality status were evaluated by scanning patients' files. Preoperative blood samples were taken the day before the surgery, which is the period farthest from surgical stress, to have more accurate results. By contrast, postoperative blood samples were taken on the first postoperative day when surgical stress was the highest. The differences between the morbidity groups, including NLR, PLR, and PNI, were compared.

RESULTS

Of the 172 patients in the study, 96 (55.8%) were female. The mean age of all patients was 48.51±15.57 (18-90). Perioperative complications were seen in 30 (17.4%) patients, while the morbidity and mortality rates of the study were 28.5% and 19.2%, respectively. Age, gender of patients, and preoperative laboratory parameters, including NLR, PLR, and PNI, did not affect morbidity. However, the presence of perioperative vascular injury (P=0.040) and complications (P=0.047), low postoperative lymphocyte rates (P=0.038), and high postoperative NLR were associated with increased morbidity. In addition, the mortality rate was significantly increased in patients with morbidity (P<0.001).

CONCLUSION

From the results of the present study, it was found that preoperative parameters did not affect morbidity, while increased postoperative NLR levels and decreased lymphocyte rates increased morbidity.

Association between Malnutrition and Migraine Risk Assessed Using Objective Nutritional Indices

Dietary triggers are frequently linked to migraines. Although some evidence suggests that dietary interventions might offer a new avenue for migraine treatment, the connection between migraine and nutrition remains unclear. In this study, we explored the association between nutritional status and migraines. Clinical data spanning 11 years were sourced from the Smart Clinical Data Warehouse. The nutritional statuses of 6603 migraine patients and 90,509 controls were evaluated using the Controlling Nutrition Status (CONUT) score and the Prognostic Nutrition Index (PNI). The results showed that individuals with mild, moderate, and severe malnutrition were at a substantially higher risk of migraines than those with optimal nutrition, as determined by the CONUT score (adjusted odds ratio [aOR]: 1.72, 95% confidence interval [CI]: 1.63-1.82; aOR: 5.09, 95% CI: 4.44-5.84; aOR: 3.24, 95% CI: 2.29-4.59, p < 0.001). Similarly, moderate (PNI: 35-38) and severe (PNI < 35) malnutrition were associated with heightened migraine prevalence (aOR: 4.80, 95% CI: 3.85-5.99; aOR: 3.92, 95% CI: 3.14-4.89, p < 0.001) compared to those with a healthy nutritional status. These findings indicate that both the CONUT and PNI may be used as predictors of migraine risk and underscore the potential of nutrition-oriented approaches in migraine treatment.

Prognostic Role of Preoperative Onodera's Prognostic Nutritional Index (OPNI) in Gastrointestinal Stromal Tumors: a Systematic Review and Meta-analysis

PURPOSE

The inflammatory parameters of peripheral blood are related to the prognosis of various cancers. The aim of this meta-analysis is to explore the prognostic value of preoperative OPNI in gastrointestinal stromal tumors (GIST).

METHODS

The following search strategies were used to locate all literature published up to May 1, 2022: PubMed, Web of Science, CBM, EMBASE, and Cochrane, using the keywords "Prognosis," "survival," "Nutritional Assessment," "Nutrition Index," and "PNI," "OPNI," "Gastrointestinal stromal tumor," and "GIST." Studies that did not report an associated cumulative hazard ratio (HR) of recurrence-free survival (RFS) were excluded. The pooled hazard ratio (HR) and corresponding 95% confidence intervals (CI) were calculated by a fixed-effects model. Subgroups were analyzed for heterogeneity of studies, and Egger's test was applied to assess the risk of publication bias.

RESULTS

Through the inclusion and exclusion criteria, 8 articles with a total of 2462 patients with gastrointestinal stromal tumors were selected for analysis. The HR summary of univariate analysis of RFS was 2.73 (95% CI: 2.17-3.43, P < 0.0001), and there was no heterogeneity, which indicated that the prognosis of gastrointestinal stromal tumors with low OPNI before operation was poor. Except for one article that did not give the HR of RFS under the condition of multi-factor analysis, the other 7 articles gave the HR of RFS and summarized it to 1.81 (95% CI: 1.40-3.83, P < 0.0001). Although there was slight heterogeneity in the multifactorial analysis, the publication bias risk and sensitivity assessment showed that the results were still reliable (p > 0.05).

CONCLUSION

The results of this systematic review and meta-analysis show that decreased preoperative OPNI is closely associated with poor long-term survival (RFS) in GIST patients. Monitoring OPNI in GIST patients may help with risk stratification and individualized treatment.

Clinical impact of postoperative malnutrition after pancreaticoduodenectomy: prediction based on estimated functional remnant pancreatic volume, prognostic nutritional index, and body mass index

BACKGROUND

The present study aimed to evaluate the association between estimated functional remnant pancreatic volume (eFRPV) and postoperative malnutrition after pancreaticoduodenectomy (PD).

METHODS

The medical records of 131 patients who underwent PD and preoperative computed tomography were retrospectively reviewed. Onodera's prognostic nutritional index (PNI) was assessed 6-months after PD. Patients with PNI values of at least 45 were included in the non-malnutrition group, while those with values <45 and <40 were included in the mild and severe malnutrition groups, respectively. Associations between eFRPV and postoperative nutritional status were evaluated to identify factors predictive of severe malnutrition after PD.

RESULTS

Fifty-three patients (40%) were included in the non-malnutrition group, while 38 (29%) and 40 (31%) were included in the mild and severe malnutrition groups, respectively. Overall survival was significantly shorter in the severe malnutrition group (p < 0.001). The eFRPV was significantly lower in the severe malnutrition group (p = 0.003; Jonckheere-Terpstra trend test, p < 0.001). In the multivariate analysis, eFRPV ≤55.2 mL·HU (odds ratio [OR] = 5.20; p = 0.004), preoperative PNI ≤41.9 (OR = 6.37; p = 0.010), and body mass index ≤19.1 kg/m2 (OR = 3.43; p = 0.031) were independent predictors of severe malnutrition after PD.

CONCLUSION

The current results indicate that eFRPV may predict low PNI values after PD.

Perioperative predictors of outcome of hepatectomy for HBV-related hepatocellular carcinoma

Hepatitis B virus (HBV) is identified as a major risk factor for hepatocellular carcinoma (HCC), resulting in so-called hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC). Hepatectomy for HCC is acknowledged as an efficient treatment strategy, especially for early HCC. Furthermore, patients with advanced HCC can still obtain survival benefits through surgical treatment combined with neoadjuvant therapy, adjuvant therapy, transcatheter arterial chemoembolization, and radiofrequency ablation. Therefore, preoperative and postoperative predictors of HBV-related HCC have crucial indicative functions for the follow-up treatment of patients with feasible hepatectomy. This review covers a variety of research results on preoperative and postoperative predictors of hepatectomy for HBV-related HCC over the past decade and in previous landmark studies. The relevant contents of Hepatitis C virus-related HCC, non-HBV non-HCV HCC, and the artificial intelligence application in this field are briefly addressed in the extended content. Through the integration of this review, a large number of preoperative and postoperative factors can predict the prognosis of HBV-related HCC, while most of the predictors have no standardized thresholds. According to the characteristics, detection methods, and application of predictors, the predictors can be divided into the following categories: 1. serological and hematological predictors, 2. genetic, pathological predictors, 3. imaging predictors, 4. other predictors, 5. analysis models and indexes. Similar results appear in HCV-related HCC, non-HBV non-HCV HCC. Predictions based on AI and big biological data are actively being applied. A reasonable prediction model should be established based on the economic, health, and other levels in specific countries and regions.

Preoperative Prognostic Nutritional Index was not predictive of short-term complications after laparoscopic resection for rectal cancer

BACKGROUND AND AIM

Prognostic Nutritional Index (PNI) is a useful tool to predict short-term results in patients undergoing surgery for gastrointestinal cancer. Few studies have addressed this issue in colorectal cancer or specifically in rectal cancer. We evaluated the prognostic relevance of preoperative PNI on morbidity of patients undergoing laparoscopic curative resection for rectal cancer (LCRRC).

METHODS

PNI data and clinico-pathological characteristics of LCRRC patients (June 2005-December 2020) were evaluated. Patients with metastatic disease were excluded. Postoperative complications were evaluated using the Clavien-Dindo classification.

RESULTS

A total of 182 patients were included in the analysis. Median preoperative PNI was 36.5 (IQR 32.8-41.2). Lower PNI was associated with females (p=0.02), older patients (p=0.0002), comorbidity status (p<0.0001), and those who did not receive neoadjuvant treatment (p=0.01). Post-operative complications occurred in 53 patients (29.1%), by the Clavien-Dindo classification: 40 grades I-II and 13 grades III-V. Median preoperative PNI was 35.0 (31.8-40.0) in complicated patients and 37.0 (33.0-41.5) in uncomplicated patients (p=0.09). PNI showed poor discriminative performance regarding postoperative morbidity (AUC 0.57) and was not associated with postoperative morbidity (OR 0.97) at multivariable analysis.

CONCLUSIONS

Preoperative PNI was not associated with postoperative morbidity after LCRRC. Further research should focus on different nutritional indicators or hematological/immunological biomarkers.

Relationship of preoperative oral hypofunction with prognostic nutritional index in gastric cancer: A case-control retrospective study

Preoperative nutritional status is an important prognostic factor in gastric cancer patients. This study will evaluate whether preoperative oral dysfunction is associated with prognostic nutrition index (PNI). This case-control study analyzed 95 patients who underwent oral function management. We assessed the following parameters: body mass index, stage of gastric cancer, C-reactive protein, total lymphocyte count, albumin, and prognostic nutritional index. The patients were divided into groups with prognostic nutritional indexes <45 and >45. Logistic regression analysis was used to assess the association between the measurements of oral function and the prognostic nutritional index. Univariate analysis of factors associated with decreased oral function and prognostic nutritional index showed significant differences between the two groups in C-reactive protein, neutrophils, and tongue pressure (p<0.01). However, oral hygiene, oral dryness, occlusal force, tongue-lip motor function, masticatory function, and swallowing function were not significantly different. Multivariate analysis showed that C-reactive protein (odds ratio: 0.12, 95% confidence interval: 0.30-0.45, p<0.01) and tongue pressure (odds ratio: 3.62, 95% confidence interval: 1.04-12.60, p<0.05) were independent risk factors for oral hypofunction. Oral function decreased in perioperative patients with gastric cancer, and decreased tongue pressure is associated with a decreased prognostic nutritional index.

Prognostic impact of preoperative skeletal muscle change from diagnosis to surgery in patients with perihilar cholangiocarcinoma

Background

Loss of skeletal muscle mass is a prognostic factor after surgery for gastrointestinal cancers. The treatment for perihilar cholangiocarcinoma (PHC) is a highly invasive surgery. Biliary drainage and portal vein embolization, which can prolong the preoperative waiting time (PWT), are often required before surgery. Assuming that the skeletal muscle mass can change during PWT, we investigated the clinical effect of skeletal muscle change on surgical outcomes of PHC.

Methods

We retrospectively reviewed the medical records of 89 patients who underwent curative surgery for PHC from January 2013 to December 2019. We defined the psoas muscle area (PMA) at the third lumbar vertebra as the skeletal muscle mass. The PMA just before surgery was divided by that at the time of diagnosis, and we defined it as the rate of change of PMA (CPMA). Patients were divided into two groups according to CPMA: wasting (n = 44, below the median CPMA) and no-change (n = 45, above the median CPMA).

Results

The median PWT was 63 d, and CPMA was 96.1%. The median recurrence-free survival and overall survival were significantly shorter in the wasting group than in the no-change group (8.0 vs 33.2 mo, P = 0.001 and 14.2 vs 48.7 mo, P < 0.001, respectively). Multivariate analysis revealed that histological differentiation, R1 resection, lymph node metastasis, and preoperative skeletal muscle wasting were independent prognostic factors of PHC.

Conclusion

This study suggests that preoperative skeletal muscle wasting in patients with PHC has a negative effect on survival outcomes.

The prognostic indicator in breast cancer treated with CDK4/6 inhibitors: the prognostic nutritional index

Aims: The aim of this study was to evaluate the effect of prognostic nutritional index (PNI) on prognosis in patients with hormone receptor-positive, HER2-negative metastatic breast cancer who received CDK4/6 inhibitor + endocrine therapy. Methods: Patients receiving a CDK4/6 inhibitor were evaluated retrospectively. The PNI was calculated as: (10 × serum albumin [g/dl]) + (total lymphocyte count [×10⁹/l] × 5). Results: In a study of 106 patients, a statistically significant survival advantage was observed in the high-PNI group over the low-PNI group (mean overall survival: 28.03 ± 0.487 months vs 22.46 ± 1.14 months; p = 0.013). Conclusion: For the first time in the literature, this study demonstrated the prognostic role of PNI in patients with hormone receptor-positive, HER2-negative metastatic breast cancer treated with CDK4/6 inhibitors.

Association between Posttreatment Serum Platelet-to-Lymphocyte Ratio and Distant Metastases in Patients with Hepatocellular Carcinoma Receiving Curative Radiation Therapy

Background: We sought to investigate whether serum immune and inflammatory parameters can help to predict distant metastasis (DM) in patients with unresectable hepatocellular carcinoma (HCC) undergoing curative radiation therapy (RT). Methods: A total of 76 RT courses were analyzed. The following variables were included in the analysis: systemic inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), absolute lymphocyte count, lymphocyte-to-monocyte ratio, albumin, albumin-to-alkaline phosphatase ratio, RT-related parameters, and levels of total protein, hemoglobin, α-fetoprotein, and PIVKA-II. Distant control (DC) and overall survival (OS) rates were calculated and compared. Results: The mean age was 61.4 years, and most patients were men (n = 62, 81.6%). The median RT fraction number and fractional doses were 12 (range, 4–30) and 5 (range, 2–12) Gy, respectively. With a median follow-up of 12 (range, 3.1–56.7) months, the 1-year DC and OS rates were 64.4% and 55.2%, respectively. The development of DM significantly deteriorated OS (p = 0.013). In the multivariate analysis, significant independent prognostic indicators for DC and OS rates were the highest posttreatment PLR (≤235.7 vs. >235.7, p = 0.006) and the lowest posttreatment PNI (≤25.4 vs. >25.4, p < 0.001), respectively. Conclusions: Posttreatment serum PLR might be helpfully used as a predictive biomarker of DM in unresectable HCC patients undergoing RT. Future research is necessary to confirm our findings.

Serum Inflammation Parameters and Survival in Hepatocellular Carcinoma Patients: Importance of Albumin and Gamma-Glutamyltranspeptidase

INTRODUCTION

Many single and combination blood tests that reflect local or systemic inflammation have been shown to be useful prognosticators in patients with a variety of tumor types. To try to clarify, this issue in patients with nonsurgically treatable hepatocellular carcinoma, multiple serum parameters were evaluated for their relationship to survival.

METHODS

A prospectively collected database was interrogated of 487 patients with known hepatocellular carcinoma and documented survival and having all the inflammation parameters of interest in this study, together with baseline tumor characteristics from CT scans. Serum parameters included NLR, PLR, CRP, ESR, albumin, and GGT.

RESULTS

All the parameters had significant hazard ratios on Cox regression model. Combination double parameters with hazard ratios >2.0 were: ESR plus GGT, albumin plus GGT, albumin plus ESR. The triplet combination of albumin plus GGT plus ESR had a hazard ratio of 6.33. Using Harrell's concordance index (C-index), the highest inflammation-based 2-parameter prognostic score was for albumin plus GGT. When clinical characteristics of patients with high values for albumin plus low values for GGT were compared to low values for albumin plus high values for GGT (worse prognosis), statistically significant differences were found for tumor size, tumor focality, macroscopic portal vein invasion, and serum alpha-fetoprotein levels. Addition of ESR did not provide additional tumor information.

CONCLUSION

The combination of serum albumin plus GGT levels was the most prognostically useful among the inflammation parameters that were tested, and reflected significant differences in tumor aggressiveness characteristics.

Impact of Geriatric Nutritional Risk Index After Initial Hepatectomy for Hepatocellular Carcinoma: a Retrospective Cohort Study with the Hiroshima Surgical Study Group of Clinical Oncology (HiSCO)

INTRODUCTION

The importance of a nutrition scoring system, including the geriatric nutritional risk index (GNRI), was reported as an objective tool widely used to assess nutritional status in patients with inflammatory disease, chronic heart failure, and chronic liver disease. However, studies on the relationship between GNRI and the prognosis in patients who have undergone initial hepatectomy have been limited. Thus, we conducted a multi-institutional cohort study to clarify the relationship between GNRI and long-term outcomes for hepatocellular carcinoma (HCC) patients after such a procedure.

METHODS

Data from 1,494 patients who underwent initial hepatectomy for HCC between 2009 and 2018 was retrospectively collected from a multi-institutional database. The patients were divided into two groups according to GNRI grade (cutoff: 92), and their clinicopathological characteristics and long-term results were compared.

RESULTS

Of the 1,494 patients, the low-risk group (≥ 92; N = 1,270) was defined as having a normal nutritional status. Meanwhile, low GNRI (< 92; N = 224) were divided into malnutrition as the high-risk group. Multivariate analysis identified seven prognostic factors of poor overall survival (higher tumor markers; α-fetoprotein (AFP) and des-γ-carboxy protein [DCP], higher ICG-R15 levels, larger tumor size, multiple tumors, vascular invasion, and lower GNRI and eight prognostic factors of high recurrence (HCV antibody positive, higher ICG-R15 levels, higher tumor markers such as AFP and DCP, greater bleeding, multiple tumors, vascular invasion, and lower GNRI).

CONCLUSIONS

In patients with HCC, preoperative GNRI predicts poorer overall survival and high recurrence.

Repetition of Paclitaxel-Coated Devices for the Treatment of Lower Extremity Artery Disease: Mortality Outcomes and Predictors

Background

A recent meta-analysis reported late excess mortality in patients treated with paclitaxel-coated devices (PCDs) for symptomatic femoropopliteal disease. However, this finding is controversial.

Objectives

To investigate the impact on mortality and predictors of repeat exposure to PCDs in patients with lower extremity peripheral arterial disease (LE-PAD).

Methods

We analyzed registry patient-level data from two centers. A total of 214 patients were enrolled, and stratified based on terciles of cumulative dose of paclitaxel. We treated 134 patients with a single PCD exposure and 80 with multiple PCD exposures. We used the follow-up index (FUI) in Kaplan-Meier survival estimates to minimize potential selection bias. We used Cox proportional hazard and splines models to determine the predictors of mortality and assess their relationships with mortality.

Results

The mean cumulative dose of paclitaxel was significantly different among groups (6.40 mg vs. 15.06 mg vs. 38.57 mg, p < 0.001). The 5-year FUI (0.93 ± 0.19 vs. 0.94 ± 0.18 vs. 0.95 ± 0.15, p = 0.836) and survival rates were not different (65.4% vs. 51.9% vs. 72.0%, p = 0.148). There was no dose-response association between paclitaxel dosage and death (p = 0.297). The predictors of death were congestive heart failure, stroke, dialysis dependence, neutrophil-lymphocyte ratio (NLR) > 3, age > 71 years, and body mass index (BMI) < 20 kg/m². Spline model analysis validated the non-linear associations between mortality, age, BMI, and NLR.

Conclusions

Repeated PCD exposure for LE-PAD did not result in excess late mortality. Predictors of mortality might change over time, and continuous variables had non-linear relationships with death.

Preoperative Predictors of Early Recurrence After Liver Resection for Multifocal Hepatocellular Carcinoma

BACKGROUND

Liver transplantation remains the optimal treatment for multifocal hepatocellular carcinoma (HCC). However, due to resource constrains, other therapeutic modalities such as liver resection (LR), are frequently utilized. LR, however, has to be balanced against potential morbidity and mortality along with the risks of early recurrence leading to futile surgery. In this study, we evaluated preoperative factors, including inflammatory indices, in predicting early (< 1 year) recurrence in patients who underwent LR for multifocal HCC.

METHODS

This was a post hoc analysis of 250 consecutive patients with multifocal HCC who underwent LR.

RESULTS

After exclusion of 10 patients with 30-day/in-hospital mortality, 240 were included of which 134 (55.8%) developed early recurrence. Hepatitis B/C aetiology, 3/ > more hepatic nodules and elevated alpha-fetoprotein (AFP) ≥ 200 ng/ml were significant independent preoperative predictors of early recurrence. The early recurrence rate was 72.1% when 2 out of 3 significant predictive factors were present. The conglomerate of all 3 factors predicted early recurrence of 100% with a statistically significant association between number of predictive factors and early recurrence (p < 0.001).

CONCLUSION

Better patient selection via the use of preoperative predictive factors of early recurrence such as hepatitis B/C aetiology, ≥ 3 nodules and elevated AFP ≥ 200 ng/ml may assist in identifying patients in whom LR is deemed futile and improve resource allocation.

Is the prognostic nutritional index a predictor of Covid-19 related hospitalizations and mortality?

Introduction

Prognostic nutritional index (PNI) is a novel inflammation marker that useful in predicting prognosis of certain conditions. We aimed to study PNI of the outpatient and inpatient subjects with established Covid-19 and also aimed to compare PNI of deceased and survived Covid-19 patients.

Methods

The patients with Covid-19 whom presented to outpatient or inpatient clinics of Abant Izzet Baysal University Hospital were enrolled to the study. PNI levels of the inpatients and outpatients, deceased and survived were compared. PNI values of deceased and survived in inpatients were also compared.

Results

Study population was consisted of 4419 subjects (2907 outpatients and 1512 inpatients). PNI of the inpatient (41.55 (36.42-47.1)) group was significantly lower than the PNI of the outpatient (51.95 (47.95-55.75)) subjects (p<0.001). The sensitivity and specificity of PNI (≤46.2 level) in determination of requirement inpatient treatment were 71.2% and 83.5%, respectively. PNI of the deceased patients (37(33.39-40.86)) was lower than the PNI of the survivors (50.45(45.6-54.65)), (p<0.001). The sensitivity and specificity of PNI at ≤44.55 level in determining mortality were 89.22% and 78.87%, respectively.

Conclusion

We suggest that PNI could serve as a reliable prognostic index in covid-19 patients. Reduced level of PNI should alert physicians since it is associated with need for hospitalization and mortality in this population.

Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19 Patients: A Cross-Sectional Retrospective Study

Objective

Systemic inflammatory parameters are predictors of poor prognosis in COVID-19 patients. This study evaluated whether the prognostic nutritional index, which was also related to nutrition risk and other inflammation-based prognostic scores, was predictive of in-hospital mortality in COVID-19 patients.

Materials and Methods

This was a retrospective cross-sectional single-center study. Based on the exclusion criteria, 151 patients over 18 years old diagnosed with COVID-19 and hospitalized in the intensive care unit between March 2020 and December 2020 were eligible for this study. Multivariable logistic regression analysis was performed to evaluate the predictive value of the Glasgow Prognostic Score (GPS), Prognostic Index (PI), Prognostic Nutritional Index (PNI), and Systemic Inflammatory Index (SII).

Results

In the univariate analyses, age, diabetes mellitus (DM), chronic kidney disease, acute kidney injury, hypothyroidism, hospitalization stay, lactate dehydrogenase (LDH), aspartate aminotransferase (AST), D-dimer, ferritin, C-reactive protein (CRP), albumin, hemoglobin level, platelet count, urea, creatinine level, PNI, GPS were significantly associated with mortality. However, in the multivariable logistic regression analysis of the inflammation-based prognostic scores, only PNI was statistically significant in predicting in-hospital mortality (OR=0.83; [95% CI=0.71-0.97]; p =0.019).

Conclusion

PNI is a more useful and powerful tool among these inflammation-based prognostic risk scores in predicting in-hospital mortality in COVID-19 patients.

Combination of sarcopenia and prognostic nutritional index to predict long-term outcomes in patients undergoing initial hepatectomy for hepatocellular carcinoma

OBJECTIVE

To determine if preoperative sarcopenia and prognostic nutritional index (PNI) could accurately predict the postoperative outcomes of patients with hepatocellular carcinoma (HCC) undergoing initial hepatectomy.

METHODS

Three hundred three patients who underwent curative hepatectomy for HCC between January 2010 and August 2021 were enrolled and their data were retrospectively analyzed. Sarcopenia was determined from computed tomography images obtained 3 weeks prior to surgery, and PNI was calculated from preoperative albumin and whole lymphocyte count data in receiver operating characteristic (ROC) curve analysis, with a cutoff value of 46.2 to categorize high and low groups.

RESULTS

One hundred six (35%) patients had sarcopenia prior to surgery. Kaplan-Meier analysis revealed that sarcopenia and low PNI were associated with significantly worse overall survival (OS) compared with no sarcopenia and high PNI, respectively (P = 0.023 and P = 0.035, respectively). In addition, patients with sarcopenia had worse OS than those without sarcopenia in the high and low PNI groups (P = 0.058 and P = 0.038, respectively). Sarcopenia (hazard ratio [HR] 1.66; 95% confidence interval [CI] 1.00-2.76; P = 0.048) and PNI ≤46.2 (HR 1.96; 95% CI 1.17-3.27; P = 0.011) were independent prognostic factors on multivariate analysis, and combined sarcopenia and PNI had a higher AUC value (AUC = 0.722, P < 0.001) than either one alone in ROC analysis.

CONCLUSION

Combined sarcopenia and PNI as a prognostic marker can better predict the postoperative prognostic outcomes of HCC patients following hepatectomy than either sarcopenia or PNI alone.

The prognostic value of the advanced lung cancer inflammation index in patients with gastrointestinal malignancy

BACKGROUND

Systemic inflammation is crucial for the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is considered to be a better indicator of systemic inflammation than current biomarkers. However, the prognostic value of the ALI in gastrointestinal neoplasms remains unclear. We performed the first meta-analysis to explore the association between ALI and gastrointestinal oncologic outcomes to help physicians better evaluate the prognosis of those patients.

METHODS

Eligible articles were retrieved using PubMed, the Cochrane Library, EMBASE, and Google Scholar by December 29, 2022. Clinical outcomes were overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), and cancer-specific survival (CSS).

RESULTS

A total of 18 articles with 6898 patients were included in this meta-analysis. The pooled results demonstrated that a low ALI was correlated with poor OS (HR = 1.914, 95% CI: 1.514-2.419, P < 0.001), DFS (HR = 1.631, 95% CI: 1.197-2.224, P = 0.002), and PFS (HR = 1.679, 95% CI: 1.073-2.628, P = 0.023) of patients with gastrointestinal cancers. Subgroup analysis revealed that a low ALI was associated with shorter OS (HR = 2.279, 95% CI: 1.769-2.935, P < 0.001) and DFS (HR = 1.631, 95% CI: 1.197-2.224, P = 0.002), and PFS (HR = 1.911, 95% CI: 1.517-2.408, P = 0.002) of patients with colorectal cancer. However, the ALI was not related to CSS in the patients with gastrointestinal malignancy (HR = 1.121, 95% CI: 0.694-1.812, P = 0.640). Sensitivity analysis supported the stability and dependability of the above results.

CONCLUSION

The pre-treatment ALI was a useful predictor of prognosis in patients with gastrointestinal cancers.

Low pretreatment prognostic nutritional index predicts poor survival in breast cancer patients: A meta-analysis

BACKGROUND

Prognostic nutritional index (PNI), as an indicator of nutritional immune status, has been shown to be associated with therapeutic effects and survival of solid tumors. However, the prognostic role of PNI before treatment in human breast cancer (BC) is still not conclusive. Hence, we performed this meta-analysis to assess the value of it in prognosis prediction for BC patients.

MATERIALS AND METHODS

We searched PubMed, Embase, Web of Science and EBSCO to identify the studies evaluating the association between PNI and survival such as overall survival (OS), disease-free survival (DFS) of BC, and computed extracted data into hazard ratios (HRs) for OS, DFS and clinicopathological features with STATA 12.0.

RESULTS

A total of 2322 patients with BC from 8 published studies were incorporated into this meta-analysis. We discovered that low pretreatment PNI was significantly associated with worse OS, but not with DFS in BC patients. In stratified analyses, the result showed that decreased PNI before treatment was remarkably related with lower 3-year, 5-year, 8-year and 10-year OS, but not with 1-year survival rate in BC. In addition, although reduced PNI could not impact 1-year, 3-year or 5-year DFS, it considerably deteriorated 8-year and 10-year DFS in patients.

CONCLUSION

Low pretreatment PNI deteriorated OS, 8-year and 10-year DFS in BC patients, implicating that it is a valuable prognostic index and improving the nutritional immune status may offer a therapeutic strategy for these patients.

The modified Glasgow prognostic score (MGPS) and the mortality prediction model II (MPM II) can predict mortality in patients with breast cancer admitted to intensive care: A retrospective cohort study

Background/Aim: Breast cancer is the second most common cause of cancer-related death in women worldwide. Predicting the prognosis in breast cancer with very high mortality is important in terms of disease treatment and increasing life expectancy. In our study, we aimed to examine the importance of some inflammatory markers and scoring systems in predicting prognosis in patients with breast cancer who were hospitalized in the intensive care unit. Methods: This retrospective cohort study was conducted in the Department of Medical Oncology and Intensive Care Unit between 2014 and 2020. Breast cancer patients who were admitted to the intensive care unit at any stage of their treatment during the study and followed up and treated in the medical oncology department of the hospital were included in the study. All data were compared between groups (discharged or exitus) based on survival status. Socio-demographic information, laboratory findings (hemoglobin, leukocytes, neutrophils, lymphocytes, platelets, eosinophils, monocytes, C-reactive protein [CRP], albumin, lactate dehydrogenase [LDH], clinical status [co-morbidities, length of stay in intensive care, mechanical ventilation, and reason for hospitalization in the intensive care unit]), and survival data of the patients were collected retrospectively from hospital medical records. We also recorded treatment-related data and relapse/progression information. Neutrophil–lymphocyte, platelet–lymphocyte, and lymphocyte–monocyte ratios (NLR, PLR, and LMR, respectively) were calculated. Results: Thirty-seven (52.1%) patients died and 34 (47.9%) patients survived. The NLR (P=0.021), Modified Glasgow Prognostic score (P<0.001), APACHE II score (P<0.001) and mortality probability model (MPM II) upon admission (P<0.001) were significantly higher in the exitus group than in the survivors. The lymphocyte_monocyte ratio (P=0.030) and prognostic nutritional index (P=0.004) were significantly higher in the discharged group than in the death group. When we evaluated performance of the prognostic scores to predict mortality, we found that the APACHE II score (area under the curve [AUC]: 0.939, 95% confidence interval [CI]: 0.888–0.990), MPM II-Admission (AUC: 0.936, 95% CI: 0.880–0.992), and modified Glasgow Prognostic Score ([mGPS] AUC: 0.727, 95% CI: 0.600–0.854) had the highest area under curve values. Multivariable regression revealed that longer chemotherapy duration (≥2 weeks), an mGPS score of two points, and high MPM-II (≥36 points) were independently associated with mortality. Conclusion: Among the inflammatory markers and scores examined, mGPS and MPM-II were found to be independently associated with mortality in breast cancer patients who were hospitalized in the intensive care unit. In addition, patients with longer chemotherapy duration had a higher risk of mortality, but this result was limited by various possible confounders.