High Prognostic Nutritional Index Research Articles

Preoperative prognostic nutritional index predicts short- and long-term outcomes after liver resection in patients with hepatocellular carcinoma.

The prognostic nutritional index (PNI) is one of the immune parameters calculated on the basis of the serum albumin and the total lymphocyte count. The aim of the present study was to investigate the prognostic significance of the PNI for short- and long-term outcomes after liver resection for patients with hepatocellular carcinoma (HCC). Data from 162 surgically treated patients with HCC (without any previous treatment) were retrospectively analyzed. The cutoff value of preoperative PNI was 45.0, which was calculated by a receiver operating characteristic curve for predicting the recurrence of HCC after liver resection. Patients were divided into low (n=86) and high (n=76) PNI groups. In short-term outcomes, patients in the low PNI group were more likely to experience postoperative complications compared with those in the high PNI group. The 5-year disease-free survival (DFS) rate in the low PNI group was significantly lower compared with that in the high PNI group (20.5% vs. 48.7%). In the multivariate analysis, a low PNI was an independent prognostic factor for DFS (HR, 1.65; 95% CI, 1.00-2.71). In conclusion, the preoperative PNI may be a prognostic factor for evaluating short- and long-term outcomes after liver resection in patients with HCC.

Optimal Preoperative Multidisciplinary Treatment in Borderline Resectable Pancreatic Cancer.

Simple SummaryFor borderline pancreatic cancer, upfront surgery was standard in the past, and the usefulness of neoadjuvant treatment has been reported in recent years. However, few studies have been conducted to date on whether there is a difference in optimal treatment between borderline resectable pancreatic cancer invading the portal vein (BR-PV) or abutting major arteries (BR-A). The objective of this study was to investigate the optimal neoadjuvant therapy for BR-PV or BR-A. We retrospectively analyzed 88 patients with BR-PV and 111 patients with BR-A. In this study, we found that neoadjuvant treatment using new chemotherapy (FOLFIRINOX or gemcitabine along with nab-paclitaxel) is essential for improving the prognosis of BR pancreatic cancer. These findings suggest that prognosis may be prolonged by maintaining good nutritional status during preoperative treatment.Background: The objective of this study was to investigate the optimal neoadjuvant therapy (NAT) for borderline resectable pancreatic cancer invading the portal vein (BR-PV) or abutting major arteries (BR-A). Methods: We retrospectively analyzed 88 patients with BR-PV and 111 patients with BR-A. Results: In BR-PV patients who underwent upfront surgery (n = 46)/NAT (n = 42), survival was significantly better in the NAT group (3-year overall survival (OS): 5.8%/35.5%, p = 0.004). In BR-A patients who underwent upfront surgery (n = 48)/NAT (n = 63), survival was also significantly better in the NAT group (3-year OS:15.5%/41.7%, p < 0.001). The prognosis tended to be better in patients who received newer chemotherapeutic regimens, such as FOLFIRINOX and gemcitabine with nab-paclitaxel. In 36 BR-PV patients who underwent surgery after NAT, univariate analysis revealed that normalization of tumor marker (TM) levels (p = 0.028) and preoperative high prognostic nutritional index (PNI) (p = 0.022) were significantly associated with a favorable prognosis. In 39 BR-A patients who underwent surgery after NAT, multivariate analysis revealed that preoperative PNI > 42.5 was an independent prognostic factor (HR: 0.15, p = 0.014). Conclusions: NAT using newer chemotherapy is essential for improving the prognosis of BR pancreatic cancer. These findings suggest that prognosis may be prolonged by maintaining good nutritional status during preoperative treatment.

High prognostic nutritional index (PNI) as a positive prognostic indicator for non-small cell lung cancer patients with bone metastasis.

Increasing evidence shows the close association between prognostic nutritional index (PNI) and overall survival (OS) of solid cancers including lung cancer. However, the role of PNI in non-small cell lung cancer patients (NSCLC) with bone metastasis remains unclear. To explore the prognostic role of PNI in NSCLC patients with bone metastasis. A retrospective analysis of 259 initially diagnosed NSCLC with bone metastasis was conducted. Univariate and multivariate analysis were used to assess the potential prognostic roles of parameters. The most common symptoms initially presented were cough and chest pain. Two hundred patients (77.2%) received the treatment of bisphosphonates. Patients with low PNI were found in 154 (59.5%) patients. Median survival time for all cases was 286 days. The median OS for patients with low and high PNI was 227 and 389 days, respectively. The 6-month, 1-year and 2-year survival rates for patients with low PNI were 66.2%, 29.9% and 10.4% compared to 79.0%, 52.4% and 26.7% in patients with high PNI level. On univariate analysis, female patients, non-smokers, high PNI and systematic chemotherapy (P<0.05) were shown to be closely correlated with a better prognosis of NSCLC patients with bone metastasis. Only PNI (P=0.002), systematic chemotherapy (P=0.026) and distant metastasis number (P=0.044) held statistical significance on multivariate analysis. PNI represents a non-invasive, efficiency and convenient biomarker of NSCLC patients with bone metastasis. High PNI, systematic chemotherapy and distant metastasis number<2 are independent positive prognostic factors of NSCLC patients with bone metastasis.

Clinical significance of pretreatment prognostic nutritional index and lymphocyte-to-monocyte ratio in patients with advanced p16-negative oropharyngeal cancer-a retrospective study.

BackgroundSystemic inflammation and nutritional status both play roles in the survival of cancer patients. Therefore, it is important to understand the effects of prognostic nutritional index (PNI) and lymphocyte-to-monocyte ratio (LMR) on the survival of patients with advanced p16-negative oropharyngeal cancer.MethodsA total of 142 patients diagnosed with advanced p16-negative oropharyngeal cancer between 2008 and 2015 were enrolled in this study. All patients received primary treatment with definite concurrent chemoradiotherapy (CCRT). Optimal cutoff values for PNI and LMR were determined using receiver operating characteristic curves for survival prediction. Survival rates for different level of PNI and LMR were estimated and compared using Kaplan–Meier method and log-rank test to see if there were significant effects on these end points, including 5-year overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS) rates. The effects of PNI and LMR on survival were assessed using Cox regression model adjusted for other prognostic factors.ResultsThe results showed the optimal cutoff values for PNI and LMR were 50.5 and 4.45, respectively. A high PNI (≧50.5) was significantly improved the 5-year OS. A low LMR (<4.45) was significantly associated with a poor 5-year DFS, DSS, and OS. In multivariate analysis, both PNI and LMR were independent prognosticators for 5-year OS.ConclusionsElevated pretreatment PNI and LMR are both favorable prognosticators in advanced p16-negative oropharyngeal cancer patients undergoing CCRT.

An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer

Immunosuppressive molecules are extremely valuable prognostic biomarkers across different cancer types. However, the diversity of different immunosuppressive molecules makes it very difficult to accurately predict clinical outcomes based only on a single immunosuppressive molecule. Here, we establish a comprehensive immune scoring system (ISSGC) based on 6 immunosuppressive ligands (NECTIN2, CEACAM1, HMGB1, SIGLEC6, CD44, and CD155) using the LASSO method to improve prognostic accuracy and provide an additional selection strategy for adjuvant chemotherapy of gastric cancer (GC). The results show that ISSGC is an independent prognostic factor and a supplement of TNM stage for GC patients, and it can improve their prognosis prediction accuracy; in addition, it can distinguish GC patients with better prognosis from those with high prognostic nutritional index score; furthermore, ISSGC can also be used as a tool to select GC patients who would benefit from adjuvant chemotherapy independent of their TNM stages, MSI status and EBV status.

Nutritional and inflammatory measures predict survival of patients with stage IV colorectal cancer

BackgroundThis study aimed to evaluate the prognostic impact of nutritional and inflammatory measures (controlling nutritional status (CONUT) score, prognostic nutritional index (PNI), and modified Glasgow prognostic score (mGPS)) on overall survival (OS) in patients with stage IV colorectal cancer (CRC).MethodsSubjects were 996 patients with stage IV CRC who were referred to the National Cancer Center Hospital between 2001 and 2015. We retrospectively investigated correlations between OS and CONUT score, PNI, and mGPS. Multivariate analyses were performed using Cox proportional hazards regression models.ResultsAfter adjusting for known factors (age, gender, BMI, ECOG performance status, location of primary tumor, CEA levels, histological type, M category, and prior surgical treatment), all three measures were found to be independent prognostic factors for OS in patients with stage (CONUT score, p < 0.001; PNI, p < 0.001; mGPS, p < 0.001). Significant differences in OS were found between low CONUT score (0/1) (n = 614; 61%) and intermediate CONUT score (2/3) (n = 276; 28%) (hazard ratio (HR) = 1.20, 95% confidence interval (CI): 1.02–1.42, p = 0.032), and intermediate CONUT score and high CONUT score (≥4) (n = 106; 11%) (HR = 1.30, 95% CI: 1.01–1.67, p = 0.045). Significant differences in OS were found between mGPS = 0 (n = 633; 64%) and mGPS = 1 (n = 234; 23%) (HR = 1.84, 95% CI: 1.54–2.19, p < 0.001), but not between mGPS = 1 and mGPS = 2 (n = 129; 13%) (HR = 1.12, 95% CI: 0.88–1.41, p = 0.349). Patients with low PNI (< 48.0) (n = 443; 44%) showed a significantly lower OS rate than those with high PNI (≥48.0) (n = 553; 56%) (HR = 1.39, 95% CI: 1.19–1.62, p < 0.001).ConclusionsCONUT score, PNI, and mGPS were found to be independent prognostic factors for OS in patients with stage IV CRC, suggesting that nutritional and inflammatory status is a useful host-related prognostic indicator in stage IV CRC.

The Prognostic Value of the Prognostic Nutritional Index (PNI) in Radically Resected Esophagogastric Junction Adenocarcinoma

To determine the influence of preoperative prognostic nutritional index in adenocarcinoma of the esophagogastric junction, this study was conducted to analyze 420 patients with adenocarcinoma of the esophagogastric junction who underwent surgery. A total of 120 healthy volunteers were included as the healthy control group. The cutoff values of prognostic nutritional index for predicting survival were obtained according to the receiver operating characteristic curve. The clinic-pathological feature and survival were compared between low and high prognostic nutritional index group. Results showed that the prognostic nutritional index in the patient group was lower than that in the healthy control group (P < 0.05). The level of prognostic nutritional index was significantly associated with tumor differentiation, Siewert type, tumor size, body mass index, and hemoglobin levels (P < 0.05). The level of prognostic nutritional index was negatively correlated with age of onset, tumor differentiation, Siewert type, tumor size, depth of tumor, but positively associated with the levels of body mass index and hemoglobin. Multivariate analysis revealed that prognostic nutritional index was an independent factor associated with disease-free survival (P = 0.027) and overall survival (P = 0.003). In conclusion, low prognostic nutritional index may be considered as an independent adverse prognostic marker in patients with adenocarcinoma of the esophagogastric junction.

Low prognostic nutrition index predicts poorer quality of life in late-stage lung cancer.

Quality of life (QOL) is one of the most important endpoints in lung cancer care. Both nutritional and immune status reportedly correlate with QOL, so we investigated whether the prognostic nutritional index (PNI), a reliable marker of nutritional and immune status, can predict QOL in late-stage lung cancer. We enrolled 80 lung cancer patients and their clinical data including PNI were obtained. The FACT-L questionnaire in Chinese version 4 was administered to every patient. Of the 80 lung cancer patients, 16 were stage III and 64 were stage IV. The average PNI value was 44.24±5.53. The average FACT-L score was 99.58±21.84, indicating impaired QOL. The FACT-L score in the stage IV group was significantly lower than that in the stage III group (P=0.001), especially for the four subscales of physical, social/family, emotional, and functioning well-being. In the stage IV group, the FACT-L score in the high PNI group was significantly higher than that in the low PNI group (P=0.042), with especially higher score for the physical well-being subscale. PNI was significantly related to both the FACT-L score (r=0.3265, P=0.0085) and physical well-being subscale (r=0.4746, P<0.0001). PNI is a simple but valuable biomarker of QOL in stage IV lung cancer patients. A lower PNI may indicate the need for detailed QOL evaluation and intervention.

Onodera\u2019s prognostic nutritional index is a strong prognostic indicator for patients with hepatocellular carcinoma after initial hepatectomy, especially patients with preserved liver function

BackgroundSeveral inflammation-based scores are used to assess the surgical outcomes of hepatocellular carcinoma (HCC). The aim of the present study was to elucidate the prognostic value of the prognostic nutritional index (PNI) in HCC patients who underwent hepatectomy with special attention to preoperative liver functional reserve.MethodsPreoperative demographic and tumor-related factors were analyzed in 189 patients with HCC undergoing initial hepatectomy from August 2005 to May 2016 to identify significant prognostic factors.ResultsMultivariate analysis for overall survival (OS) revealed that female sex (p = 0.005), tumor size (p < 0.001) and PNI (p = 0.001) were independent prognostic factors. Compared to the High PNI group (PNI ≥ 37, n = 172), the Low PNI group (PNI < 37, n = 17) had impaired liver function and significantly poorer OS (13% vs. 67% in 5-year OS, p = 0.001) and recurrence-free survival (RFS) (8 vs. 25 months in median PFS time, p = 0.002). In the subgroup of patients with a preserved liver function of LHL15 ≥ 0.9, PNI was also independent prognostic factor, and OS (21% vs. 70% in 5-year OS, p = 0.008) and RFS (8 vs. 28 months in median PFS time, p = 0.018) were significantly poorer in the Low PNI group than the High PNI group.ConclusionsPNI was an independent prognostic factor for HCC patients who underwent hepatectomy. Patients with PNI lower than 37 were at high risk for early recurrence and poor patient survival, especially in the patients with preserved liver function of LHL ≥ 0.9.

Multi-modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction≤45.

AimsHeart failure (HF) involves complex remodelling leading to electrical and mechanical dysfunction. We hypothesized that machine learning approaches incorporating data obtained from different investigative modalities including atrial and ventricular measurements from electrocardiography and echocardiography, blood inflammatory marker [neutrophil‐to‐lymphocyte ratio (NLR)], and prognostic nutritional index (PNI) will improve risk stratification for adverse outcomes in HF compared to logistic regression.Methods and resultsConsecutive Chinese patients referred to our centre for transthoracic echocardiography and subsequently diagnosed with HF, between 1 January 2010 and 31 December 2016, were included in this study. Two machine learning techniques, multilayer perceptron and multi‐task learning, were compared with logistic regression for their ability to predict incident atrial fibrillation (AF), transient ischaemic attack (TIA)/stroke, and all‐cause mortality. This study included 312 HF patients [mean age: 64 (55–73) years, 75% male]. There were 76 cases of new‐onset AF, 62 cases of incident TIA/stroke, and 117 deaths during follow‐up. Univariate analysis revealed that age, left atrial reservoir strain (LARS) and contractile strain (LACS) were significant predictors of new‐onset AF. Age and smoking predicted incident stroke. Age, hypertension, type 2 diabetes mellitus, chronic kidney disease, mitral or aortic regurgitation, P‐wave terminal force in V1, the presence of partial inter‐atrial block, left atrial diameter, ejection fraction, global longitudinal strain, serum creatinine and albumin, high NLR, low PNI, and LARS and LACS predicted all‐cause mortality. Machine learning techniques achieved better prediction performance than logistic regression.ConclusionsMulti‐modality assessment is important for risk stratification in HF. A machine learning approach provides additional value for improving outcome prediction.

Clinical Application Value Of Prognostic Nutritional Index For Predicting Survival In Patients With Esophageal Squamous Cell Carcinoma Undergoing Radical Chemoradiotherapy Or Radiotherapy

The prognostic nutrition index (PNI) has been shown to have prognostic value in several common cancers. We explore its clinical application value in the prognosis of patients with esophageal squamous cell carcinoma (ESCC) undergoing radical chemoradiotherapy (CRT) or radiotherapy (RT). Overall, 193 patients with ESCC who received radiotherapy with or without chemotherapy at Sichuan Cancer Hospital from March 20, 2012 to December 25, 2017 were retrospectively analyzed. Based on serum measurements before treatment, PNI at ESCC recurrence was calculated as albumin (g/L) + 5 × total lymphocyte count. Kaplan-Meier method and Cox proportional regression model were used to analyze the relationship between PNI and overall survival. The PNI of 193 ESCC patients was 49.01 ± 4.68. The optimal cutoff value of PNI was calculated to be 47.975, and the patients were divided into a low PNI group (<47.975) and a high PNI group (≥47.975). PNI is related to tumor length, T-stage, and Synchronous chemotherapy in ESCC patients (P <0.05). The median OS for the entire group was 22.37 months. The median OS of patients in the high PNI group (PNI ≥ 47.975) and low PNI group (PNI <47.975) were 32.63 months and 15.4 months, respectively, and the 3-year survival rates were 47.5% and 32.2%, and 5-year survival rates were 37.7% and 16.8%, respectively, and the differences were statistically significant (P = 0.001). Univariate analysis showed that PNI, tumor length, T stage and Synchronous chemotherapy were related to the prognosis of ESCC patients (P <0.05). Multivariate analysis showed that tumor length (P = 0.019), synchronous chemotherapy (P = 0.009), and PNI (P = 0.003) were independent prognostic factors affecting the prognosis of patients in ESCC treated with RT or CRT. The calculation of PNI value is simple, reliable and repeatable, which can improve the accuracy of patients' prognosis. And it needs to be further confirmed by the prospective study of large sample size.

The role of prognostic nutritional index for clinical outcomes of gastric cancer after total gastrectomy

The purpose of this article is to evaluate the relationship between the nutrition-based microenvironment and clinicopathological information for gastric cancer patients and to investigate the prognostic value of nutrition index for gastric cancer patients undergoing total gastrectomy. We retrospectively collected clinical information of 245 gastric cancer patients who underwent total gastrectomy in our hospital between January 1st 2005 and December 30th 2015. According to the prognostic nutritional index (PNI) level, they were divided into low PNI (< 43) group and high PNI (≥ 43) group. The relationship between PNI and the disease-free survival (DFS) and overall survival (OS) were analyzed by statistical analysis. Univariate analyses demonstrated that TNM stage (p = 0.025), patients age (p = 0.042), lymph node metastasis (p = 0.028), tumor differentiation (p = 0.037) and a low PNI (p = 0.033) were closely correlated with a poor prognosis. In multivariate analysis, TNM stage (p = 0.027) and a low PNI (p = 0.041) were found to be independently associated with poor survival. Additionally, when age was considered as a stratified factor, univariate analyses demonstrated that low PNI correlated with shorter DFS in non-elderly (< 65) patients (p = 0.022) and shorter DFS (p = 0.036) and OS (p = 0.047) in elderly (≥ 65) patients. The low prognostic nutritional index is an independent risk factor associated with poor gastric cancer survival which represents the nutritional microenvironment. Patients with low pre-operative prognostic nutritional index levels should be observed more closely after surgery to prevent the occurrence of post-operative complications in the near future.

Prognostic nutrition index affects the prognosis of patients undergoing trimodality therapy for locally advanced non-small cell lung cancer.

Trimodality therapy, comprised of induction chemoradiotherapy (iCRT) followed by surgery, is a highly invasive treatment option for locally advanced non-small cell lung cancers (LA-NSCLCs; defined as a heterogenous disease). We conducted this study to investigate the prognostic nutritional index (PNI) of LA-NSCLC patients undergoing trimodality therapy, which has not been studied in detail before. The subjects of this retrospective study were 127 patients who underwent trimodality therapy between 1999 and 2016. We measured the PNI at three points: before iCRT (pre-iCRT), before the operation, and after the operation. PNIs decreased significantly as treatment progressed. Patients with clinical T3/4 (cT3/4) disease had a significantly lower PNI than those with cT1/2 disease, but the extent of lymph-node metastasis did not affect the PNI at any point. Using the cut-off values of receiver-operating curve analyses, multivariable analyses revealed that a high PNI pre-iCRT correlated significantly with a better survival of LA-NSCLC patients, especially those with cT3/4 disease (hazard ratio 3.84; 95% confidential interval 1.34-12.5, P = 0.012). Measuring the PNI before trimodality therapy is important for predicting the clinical outcome of patients with LA-NSCLC, with differing predictive ability according to the disease extent. Perioperative intensive nutritional intervention must be considered for patients who undergo trimodality therapy for LA-NSCLC.

Combination of Haemoglobin and Prognostic Nutritional Index Predicts the Prognosis of Postoperative Radiotherapy for Esophageal Squamous Cell Carcinoma.

PurposeTo investigate the predictive effect of the combined markers of haemoglobin and prognostic nutritional index (PNI) on the long-term survival of patients undergoing postoperative radiotherapy for esophageal squamous cell carcinoma (ESCC).Patients and MethodsA total of 238 patients were included in this retrospective analysis. PNI was calculated as the serum albumin level (g/L) + 5 × absolute lymphocyte count, and the cut-off values of PNI and haemoglobin were calculated by receiver operating characteristic (ROC) curve analysis. Then, we combined haemoglobin and PNI, named the H-PNI score, as a predictor of tumour prognosis. The patients were divided into three groups: H-PNI score of 2 (having both hyper-haemoglobin and high PNI), H-PNI score of 1 (having one of these haematological abnormalities), and H-PNI score of 0 (having neither hyper-haemoglobin nor high PNI). The overall survival (OS) rate was calculated using the Kaplan–Meier method, and survival differences between groups were evaluated using the Log rank test. Cox proportional hazards models were used for univariate and multivariate analyses. P values <0.05 indicated statistical significance.ResultsThe cut-off values of haemoglobin and PNI were 132.5 (g/L) and 46.55, respectively. Kaplan–Meier analysis showed that patients with high haemoglobin and PNI levels had a significantly better prognosis than those with low haemoglobin and PNI levels (P = 0.015 and P = 0.002, respectively). Similarly, the survival rate was significantly lower in patients with an H-PNI score of 0 than in those with an H-PNI score of 1–2 (P=0.000). Univariate analysis indicated that differentiation, T and N classification, and H-PNI score were significantly associated with OS. Finally, differentiation (P=0.002), T and N classification (P=0.000), and H-PNI score (P=0.01) were independent prognostic factors for ESCC patients undergoing postoperative radiotherapy.ConclusionThe H-PNI score was an independent prognostic factor for ESCC patients undergoing postoperative radiotherapy.

Combining the Fibrinogen-to-Pre-Albumin Ratio and Prognostic Nutritional Index (FPR-PNI) Predicts the Survival in Elderly Gastric Cancer Patients After Gastrectomy.

BackgroundInflammation and nutrition are important causes contributing to the progression and poor survival of gastric cancer (GC). The objective of this study is to investigate the prognostic significance of the preoperative fibrinogen-to-pre-albumin ratio (FPR) and the prognostic nutritional index (PNI) in GC patients who have undergone gastrectomy.MethodsA total of 274 patients with resected pathological GC from January 2007 to December 2013 were enrolled in this retrospective study. Survival analysis was performed using Kaplan–Meier and log rank tests. Univariate and multivariate analyses were established to identify independent prognostic factors of 5-year survival. A predictive nomogram was used to predict prognosis of overall survival (OS), and its accuracy was determined by Harrell’s concordance index (C index).ResultsA high preoperative FPR-PNI score was significantly correlated with age, bigger tumor size, more lymphatic metastases and advanced TNM stage. Univariate analysis revealed that the GC patients with high FPR, low PNI and high FPR-PNI scores had shorter survival time. Multivariate analysis showed that FPR-PNI was an independent prognostic factor for OS in GC patients, especially in elderly patients. In the sub-analysis by age, the FPR-PNI score could significantly increase the accuracy of prognosis compared with the FPR and PNI alone in elderly GC patients.ConclusionThe preoperative FPR-PNI score is an effective independent prognostic index for GC patients after surgery, especially in elderly patients.

Prognostic nutritional index as a risk factor for aseptic wound complications after total knee arthroplasty

BackgroundPatients with malnutrition have a high risk of postoperative complications in total knee arthroplasty (TKA). Previously, serum albumin and total lymphocyte count were considered preoperative nutritional assessment measures. Prognostic nutritional index (PNI) is calculated by a combination of serum albumin and total lymphocyte count. This study aimed to identify the risk factors for postoperative complications after TKA, including preoperative nutritional assessment, and evaluated preoperative PNI as a predictor of postoperative complications. MethodsOne-hundred and sixty patients (234 knees) who underwent primary TKA were enrolled consecutively from 2010 to 2018. The serum albumin (g/dL) and total lymphocyte count (/mm3) were examined within 3 months before TKA; thereafter, the PNI was calculated. Postoperative aseptic wound problems, such as skin erosion and dehiscence within 2 weeks and periprosthetic joint infection after TKA were examined. ResultsPeriprosthetic joint infections occurred in 14 knees (6.0%). Postoperative aseptic wound problems within 2 weeks were significant risk factors of periprosthetic joint infection (odds ratio; 5.10, 95% confidence interval [CI]; 1.438–18.093, p = 0.012). No significant differences were noted in the patient demographics, such as age, sex, body mass index (BMI), and comorbidities between the positive and negative groups for periprosthetic joint infection, except for the rate of aseptic operative wound problems. Furthermore, postoperative aseptic wound problems were influenced by high BMI (odds ratio; 1.270, 95% CI; 1.111–1.453, p = 0.000) and low PNI (odds ratio; 0.858, 95% CI; 0.771–0.955, p = 0.015). ConclusionsPreoperative nutritional status, indicated by PNI and BMI, was associated with postoperative wound problems within 2 weeks. Periprosthetic joint infection after TKA was associated with early postoperative aseptic wound problems.

A retrospective study on the possible systematic inflammatory response markers to predict the prognosis of patients with bladder cancer undergoing radial cystectomy.

Recent studies have shown that several inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), lymphocyte-to-platelet ratio (LPR), De Retis and prognostic nutritional index (PNI), can function as useful prognostic factors in a number of malignancies. The present study aimed to assess the most reliable inflammatory tumor marker in patients with bladder cancer who have undergone radical cystectomy. A total of 161 cases underwent radical cystectomy between 1994 and 2014 at Yokohama City University Medical Center (Yokohama, Japan). Of these patients, the 107 who had data for the NLR, MLR, LPR, De Retis and PNI were enrolled in the present study. The correlation between recurrence-free survival (RFS) or overall survival (OS) and inflammatory tumor markers were examined. Regarding the RFS, the only noteworthy finding was that a lower PNI was associated with a significantly poorer RFS compared with higher PNI (P=0.028). Regarding the OS, lower LPR and PNI were associated with a significantly poorer OS compared with higher values (P=0.048 and P=0.036, respectively). The present study revealed that a low PNI more accurately predicts a worse RFS and OS compared with other systemic inflammatory risk factors.

Controlling nutritional status score and prognostic nutrition index predict the outcome after severe traumatic brain injury

ABSTRACT Objectives Immune-nutritional status is correlated with a clinical outcome in critical illness. Recently, controlling nutritional status (CONUT) score and prognostic nutrition index (PNI) has been reported to predict prognosis following cancer and other diseases. The aim of this study was to explore the relationship between the CONUT score and PNI and 6-month outcome in patients with severe traumatic brain injury (STBI). Methods We retrospectively analyzed the clinical data of 78 patients with STBI, including the CONUT score and PNI. Patients were divided into high CONUT group and low CONUT group. Patients were also divided into high PNI and low PNI group respectively. The 6-month outcome was evaluated by the modified Rankin scale (mRS). The unfavorable outcome was defined as mRS score ≥3. Results The unfavorable outcome group had lower Glasgow coma scale (GCS) scores, serum albumin, total cholesterol, PNI, and higher CONUT scores (P < 0.05). Both CONUT scores and PNI were strongly correlated with mRS (r = 0.429, P < 0.05; r = −0.590, P < 0.05, respectively). After adjustment for confounding factors, the odds ratios of CONUT scores and PNI for predicting unfavorable outcome were 10.478 (95% CI: 2.793–39.301) and −0.039 (95% CI: 0.008–0.204), respectively. The area under the curve (AUC) of CONUT scores for predicting unfavorable outcome was 0.777 (95% CI: 0.674–0.880, P < 0.01), which was similar to PNI (0.764, 95% CI: 0.657–0.87, P < 0.01). Conclusion Both CONUT scores and PNI might be novel independent predictors of the poor outcome in STBI.

Prognostic Nutrition Index and Its Significance in Advanced Ovarian Cancer

The prognostic nutrition index (PNI) had been shown to be prognostic in various gastrointestinal and head neck malignancies. The aim of this study was to investigate the significance of PNI in advanced ovarian cancer with respect to clinical characteristics, treatment-related morbidity and response to platin-based chemotherapy. We prospectively investigated 286 patients who underwent primary or interval debulking surgery for advanced epithelial ovarian cancer between August 2017 and September 2019. All patients received 6 cycles adjuvant or neoadjuvant chemotherapy with carboplatin and paclitaxel. Pretreatment PNI was calculated as serum albumin (g/L) + 0.005 × lymphocyte count (per mm3). Optimal PNI cutoff value for disease-free survival (DFS) was identified using ROC curves. Comparisons between categorical variables were performed using Chi-square or Fisher’s exact tests, Cox regression analysis used for multivariate analyses and impact of PNI on DFS analyzed by Kaplan–Meier method and Cox proportional hazards model. The 47.85 cutoff value divided patients into high PNI and low PNI groups. No significant correlation was found between pretreatment PNI and age of patient, FIGO stage, residual disease after surgery, chemotoxicity or platinum resistance. However, low PNI was associated with high CA-125 levels (p < 0.001) and increased rate of postoperative complications (p = 0.036). In univariate analysis, PNI was not found to be associated with DFS (p = 0.103) but in multivariate analysis, PNI was independently associated with DFS (HR = 0.960, p = 0.013). Low PNI was significantly associated with increased CA-125 levels, increased rate of postoperative complications and low DFS.

High Preoperative Prognostic Nutritional Index Is Associated with Less Postoperative Complication-Related Impairment of Long-Term Survival After Laparoscopic Gastrectomy for Gastric Cancer

High Preoperative Prognostic Nutritional Index Is Associated with Less Postoperative Complication-Related Impairment of Long-Term Survival After Laparoscopic Gastrectomy for Gastric Cancer