Peripheral Nerve Injury Induced by Japanese Encephalitis Virus in C57BL/6 Mouse.

Japanese encephalitis virus (JEV), with neurotoxic and neuroinvasive properties, is the major cause of human viral encephalitis in Asia. Although Guillain-Barré syndrome caused by JEV infections is not frequent, a few cases have been reported in recent years. To date, no existing animal model for JEV-induced peripheral nerve injury (PNI) has been established, and thus the pathogenic mechanism is not clarified. Therefore, an animal model is urgently required to clarify the correlation between JEV infection and PNI. In the present study, we used JEV GIb strain of NX1889 to establish a mouse model of JEV infection. The general neurological signs emerged on day 3 of modeling. The motor function continued to deteriorate, reaching a maximum at 8 to 13 days postinfection (dpi) and gradually recovered after 16 dpi. The injuries of 105 PFU and 106 PFU groups were the most severe. Transmission electron microscopy and immunofluorescence staining showed varying degrees of demyelination and axonal degeneration in the sciatic nerves. The electrophysiological recordings demonstrated the presence of demyelinating peripheral neuropathy with reduced nerve conduction velocity. The decreased amplitudes and the prolonged end latency revealed axonal-type motor neuropathy. Demyelination is predominant in the early stage, followed by axonal injury. The expression level of JEV-E protein and viral RNA was elevated in the injured sciatic nerves, suggesting that it may cause PNI at the early stage. Inflammatory cell infiltration and increased inflammatory cytokines indicated that neuroinflammation is involved in JEV-induced PNI. IMPORTANCE JEV is a neurotropic flavivirus belonging to the Flaviviridae family and causes high mortality and disability rates. It invades the central nervous system and induces acute inflammatory injury and neuronal death. Thus, JEV infection is a major global public health concern. Previously, motor dysfunction was mainly attributed to central nervous system damage. Our knowledge regarding JEV-induced PNI is vague and neglected. Therefore, a laboratory animal model is essential. Herein, we showed that C57BL/6 mice can be used to study JEV-induced PNI through multiple approaches. We also demonstrated that viral loads might be positively correlated with lesion severity. Therefore, inflammation and direct virus infection may be the putative mechanisms underlying JEV-induced PNI. The results of this study laid the foundation for further elucidation of the pathogenesis mechanisms of PNI caused by JEV.

Preoperative Prediction of Long-Term Survival After Surgery in Patients with Resectable Pancreatic Ductal Adenocarcinoma.

BACKGROUND: Although some clinical trials have demonstrated the benefits of neoadjuvant therapy for resectable pancreatic ductal adenocarcinoma (PDAC), its optimal candidate has not been clarified. This study aimed to detect predictive prognostic factors for resectable PDAC patients who underwent upfront surgery and identify patient cohorts with long-term survival without neoadjuvant therapy. PATIENTS AND METHODS: A total of 232 patients with resectable PDAC who underwent upfront surgery between January 2008 and December 2019 were evaluated. RESULTS: The median overall survival (OS) time and 5-year OS rate of resectable PDAC with upfront surgery was 31.5 months and 33.3%, respectively. Multivariate analyses identified tumor diameter in computed tomography (CT) ≤ 19 mm [hazard ratio (HR) 0.40, p < 0.001], span-1 within the normal range (HR 0.54, p = 0.023), prognostic nutritional index (PNI) ≥ 44.31 (HR 0.51, p < 0.001), and lymphocyte-to-monocyte ratio (LMR) ≥ 3.79 (HR 0.51, p < 0.001) as prognostic factors that influence favorable prognoses after upfront surgery. According to the prognostic prediction model based on these four factors, patients with four favorable prognostic factors had a better prognosis with a 5-year OS rate of 82.4% compared to others (p < 0.001). These patients had a high R0 resection rate and a low frequency of tumor recurrence after upfront surgery. CONCLUSIONS: We identified patients with long-term survival after upfront surgery by prognostic prediction model consisting of tumor diameter in CT, span-1, PNI, and LMR. Evaluation of anatomical, biological, nutritional, and inflammatory factors may be valuable to introduce an optimal treatment strategy for resectable PDAC.

A radiomics model for predicting perineural invasion in stage II-III colon cancer based on computer tomography.

BACKGROUND: Colon cancer, a frequently encountered malignancy, exhibits a comparatively poor survival prognosis. Perineural invasion (PNI), highly correlated with tumor progression and metastasis, is a substantial effective predictor of stage II-III colon cancer. Nonetheless, the lack of effective and facile predictive methodologies for detecting PNI prior operation in colon cancer remains a persistent challenge. METHOD: Pre-operative computer tomography (CT) images and clinical data of patients diagnosed with stage II-III colon cancer between January 2015 and December 2023 were obtained from two sub-districts of Sun Yat-sen Memorial Hospital (SYSUMH). The LASSO/RF/PCA filters were used to screen radiomics features and LR/SVM models were utilized to construct radiomics model. A comprehensive model, shown as nomogram finally, combining with radiomics score and significant clinical features were developed and validated by area under the curve (AUC) and decision curve analysis (DCA). RESULT: The total cohort, comprising 426 individuals, was randomly divided into a development cohort and a validation cohort as a 7:3 ratio. Radiomics scores were extracted from LASSO-SVM models with AUC of 0.898/0.726 in the development and validation cohorts, respectively. Significant clinical features (CA199, CA125, T-stage, and N-stage) were used to establish combining model with radiomics scores. The combined model exhibited superior reliability compared to single radiomics model in AUC value (0.792 vs. 0.726, p = 0.003) in validation cohorts. The radiomics-clinical model demonstrated an AUC of 0.918/0.792, a sensitivity of 0.907/0.813 and a specificity of 0.804/0.716 in the development and validation cohorts, respectively. CONCLUSION: The study developed and validated a predictive nomogram model combining radiomics scores and clinical features, and showed good performance in predicting PNI pre-operation in stage II-III colon cancer patients.

Perineural invasion score system and clinical outcomes in resected pancreatic cancer patients.

BACKGROUND/OBJECTIVES: Perineural invasion (PNI), classified according to its presence or absence in tumor specimens, is recognized as a poor prognostic factor in pancreatic ductal adenocarcinoma (PDAC) patients. Herein, we identified five histological features of PNI and investigated their impact on survival outcomes of PDAC resected patients. METHODS: Five histopathological features of PNI (diameter, number, site, sheath involvement, and mitotic figures within perineural invasion) were combined in an additional final score (ranging from 0 to 8), and clinical data of PDAC patients were retrospectively analyzed. PNI + patients were stratified in two categories according to the median score value (<6 and ≥ 6, respectively). Impact of PNI on disease-free survival (DFS) and overall survival (OS) were analyzed. RESULTS: Forty-five patients were enrolled, of whom 34 with PNI (PNI+) and 11 without PNI (PNI-). The DFS was 11 months vs. not reached (NR) (p = 0.258), while the OS was 19 months vs. NR (p = 0.040) in PNI+ and PNI- patients, respectively. A ≥6 PNI was identified as an independent predictor of worse OS vs. <6 PNI + patients (29 vs. 11 months, p < 0.001) and <6 PNI+ and PNI- patients (43 vs. 11 months, p < 0.001). PNI ≥6 was an independent negative prognostic factor of DFS vs. <6 PNI+ and PNI- patients (13 vs. 6 months, p = 0.022). CONCLUSIONS: We report a PNI scoring system that stratifies surgically-treated PDAC patients in a graded manner that correlates with patient prognosis better than the current dichotomous (presence/absence) definition. However, further and larger studies are needed to support this PNI scoring system.

Reconceiving Perineural Invasion in Cutaneous Squamous Cell Carcinoma: From Biological to Histopathological Assessment.

BACKGROUND: Perineural invasion (PNI) is a complex molecular process histologically represented by the presence of tumor cells within the peripheral nerve sheath and defined when infiltration into the 3 nerve sheath layers can be clearly identified. Several molecular pathways have been implicated in cSCC. PNI is a well-recognized risk factor in cutaneous squamous cell carcinoma (cSCC) and its accurate assessment represents a challenging field in pathology daily practice. SUMMARY: As a highly intricate and dynamic process, PNI involves a contingent on bidirectional signaling interactions between the tumor and various nerve components, such as Schwann cells and neurons. The current staging systems recommend the identification of PNI as a dichotomous variable (presence vs. absence) to identify a subgroup of high-risk patients. However, recent further insights revealed that the evaluation of morphological PNI-related features in cSCC may enhance the prognostic stratification of patients and may optimize the current staging guidelines for recurrence risk assessment and improvement of patient selection for postoperative adjuvant treatments. Furthermore, recent emerging biomarkers could redefine early PNI detection. KEY MESSAGES: This review provides updated insights into cSCC with PNI, focusing on molecular and cellular pathogenic processes, and aims to increase knowledge on prognostic relevant PNI-related histological features.

Nutritional index in relation to prognosis of endometrial cancer.

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

Letter to editor: C­reactive protein levels, the prognostic nutritional index, and the lactate dehydrogenase­to­lymphocyte ratio are important prognostic factors in primary central nervous system lymphoma: a single­center study of 223 patients.

This critique evaluates a letter to the editor discussing prognostic factors in primary central nervous system lymphoma (PCNSL), focusing on C-reactive protein (CRP) levels, prognostic nutritional index (PNI), and lactate dehydrogenase (LDH)-to-lymphocyte ratio. While the letter provides valuable insights, limitations including reliance on a single-center dataset, lack of consideration for potential confounders, insufficient contextualization within existing literature, and limited discussion of clinical implications are identified. Addressing these limitations is crucial for enhancing the relevance and applicability of the findings in PCNSL management.

PNI is useful for predicting the prognosis of patients with soft tissue sarcoma: A retrospective study.

BACKGROUND: It is known that preoperative Prognostic Nutritional Index (PNI) is useful in predicting prognosis in gastrointestinal diseases and that preoperative improvement of nutritional status improves prognosis. However, there have been few large-scale reports examining the prognostic value of PNI in soft tissue sarcomas. Therefore, the aim of this study is to investigate whether the PNI can be useful for predicting overall survival in soft tissue sarcoma. METHODS: Between January 2006 and March 2022 at our hospital, 111 patients with pathologically diagnosed soft tissue sarcoma were included, retrospectively. Several nutritional or inflammatory biomarkers such as PNI were calculated from the pretreatment blood sample results. The patients were classified into two groups (low and high groups) based on the median value of each parameter. Overall survival was analyzed by the Kaplan‒Meier method and log-rank test. Univariate and multivariate analyses using the Cox proportional hazards model were used to investigate prognostic factors for overall survival. RESULTS: The median overall survival was 24.3 months (mean 37.3 months), and the high PNI group had a significantly longer overall survival than the low PNI group (p < 0.0001). PNI was the most significant univariate factor for overall survival among other nutritional and inflammatory parameters (HR: 5.64, 95% CI: 2.26-14.12, p = 0.0002). The multivariate proportional hazards model was built using variables with prognostic potential as suggested by previous analysis with respect to patient characteristics and PNI. As potential confounding factors, we included PNI, stage, age, and tumor location. PNI was also an independent prognostic factor in multivariate analysis (HR: 7.02, CI: 2.52-19.40, p = 0.0002). CONCLUSION: PNI is a useful prognostic factor among various parameters for overall survival in patients with soft tissue sarcoma.

GCPII Inhibition Promotes Remyelination after Peripheral Nerve Injury in Aged Mice.

Peripheral nerve injuries (PNIs) represent a significant clinical challenge, particularly in elderly populations where axonal remyelination and regeneration are impaired. Developing therapies to enhance these processes is crucial for improving PNI repair outcomes. Glutamate carboxypeptidase II (GCPII) is a neuropeptidase that plays a pivotal role in modulating glutamate signaling through its enzymatic cleavage of the abundant neuropeptide N-acetyl aspartyl glutamate (NAAG) to liberate glutamate. Within the PNS, GCPII is expressed in Schwann cells and activated macrophages, and its expression is amplified with aging. In this study, we explored the therapeutic potential of inhibiting GCPII activity following PNI. We report significant GCPII protein and activity upregulation following PNI, which was normalized by the potent and selective GCPII inhibitor 2-(phosphonomethyl)-pentanedioic acid (2-PMPA). In vitro, 2-PMPA robustly enhanced myelination in dorsal root ganglion (DRG) explants. In vivo, using a sciatic nerve crush injury model in aged mice, 2-PMPA accelerated remyelination, as evidenced by increased myelin sheath thickness and higher numbers of remyelinated axons. These findings suggest that GCPII inhibition may be a promising therapeutic strategy to enhance remyelination and potentially improve functional recovery after PNI, which is especially relevant in elderly PNI patients where this process is compromised.

Controlling Nutritional Status (CONUT) score is a prognostic marker in III-IV NSCLC patients receiving first-line chemotherapy.

BACKGROUND: To investigate the prognostic impact of the controlling nutritional status (CONUT) score in non-small-cell lung cancer (NSCLC) patients receiving first-line chemotherapy. METHODS: We retrospectively reviewed 278 consecutive patients undergoing chemotherapy for stage III-IV NSCLC between May 2012 and July 2020. CONUT score was calculated by incorporating serum albumin, total cholesterol, and total lymphocyte count. The patients were divided into two groups: CONUT ≥ 3 and CONUT < 3, according to receiver operating characteristic (ROC) analysis. The associations of CONUT with clinicopathological factors and survival were evaluated. RESULTS: A high CONUT score was significantly associated with older age(P = 0.003), worse ECOG-PS(P = 0.018), advanced clinical stage(P = 0.006), higher systematic inflammation index (SII) (P < 0.001)and lower prognostic nutritional index (PNI) (P < 0.001).The high CONUT group had a significantly shorter progression-free survival(PFS) and overall survival(OS) than the low CONUT group. In the univariate analysis, higher SII, higher CONUT, advanced clinical stage and lower PNI were associated with worse PFS (Pall < 0.05). Worse ECOG-PS, higher SII, higher CONUT, advanced clinical stage and lower PNI were associated with worse OS (Pall < 0.05). In multivariate analysis, CONUT(HR, 2.487; 95%CI 1.818 ~ 3.403; P < 0.001) was independently associated with PFS, while PNI(HR, 0.676; 95%CI 0.494 ~ 0.927; P = 0.015) and CONUT(HR, 2.186; 95%CI 1.591 ~ 3.002; P < 0.001)were independently associated with OS. In ROC analysis, CONUT had a higher area under the ROC curve (AUC) for the prediction of 24-month PFS and OS than the SII or PNI. When the time-dependent AUC curve was used to predict PFS and OS, CONUT tended to maintain its predictive accuracy for long-term prognosis at a significantly higher level for an extended period after chemotherapy when compared with the other markers tested. The CONUT score showed better accuracy of predicting OS (C-index: 0.711) and PFS(C-index: 0.753). CONCLUSION: CONUT score is an independent prognostic indicator of poor outcomes for patients with stage III-IV NSCLC and is superior to the SII and PNI in terms of prognostic ability.

Predictive value of prognostic nutritional index (PNI) in recurrent or unresectable hepatocellular carcinoma received anti-PD1 therapy.

BACKGROUND: Clinical trials have shown that anti-PD1 therapy, either as a monotherapy or in combination, is effective and well-tolerated in patients with recurrent or unresectable hepatocellular carcinoma (HCC). In this study, we aimed to investigate the prognostic value of immune-nutritional biomarkers in measuring the effects of anti-PD1 therapy in these patients. METHODS: We enrolled and followed up with 85 patients diagnosed with advanced HCC who underwent anti-PD1 therapy at the First Medical Centre of Chinese People's Liberation Army (PLA) General Hospital between January 2016 and January 2021. The retrospective analysis aimed to determine whether immune-nutritional biomarkers could serve as promising prognostic indices in these patients. RESULTS: In this retrospective study, patients in the PNI-high group showed a better progression-free survival (PFS) compared to those in the PNI-low group (9.5 months vs. 4.2 months, P = 0.039). Similarly, the median overall survival (OS) was longer in the PNI-high group (23.9 months, 95%CI 17.45-30.35) than in the PNI-low group (11.7 months, 95%CI 9.27-14.13) (P = 0.002). These results were consistent with sub-analyses of the anti-PD1 therapy. Furthermore, both univariate and multivariate analyses indicated that a higher pre-treatment PNI ( > = 44.91) was a significant predictive factor for favorable outcomes in this patient cohort (HR = 0.411, P = 0.023). CONCLUSION: Our study suggests that pre-treatment PNI is a critical predictive factor in patients with recurrent or unresectable HCC undergoing anti-PD1 therapy.

Prognostic value of the preoperative prognostic nutritional index and systemic immuno-inflammatory index in Chinese breast cancer patients: A clinical retrospective cohort study.

BACKGROUND: It has been shown that peripheral blood inflammatory factor ratios correlate with the prognosis of various malignancies. Although indicative of prognosis in some tumors, its value for prognosis in breast cancer patients is unclear. METHODS: The clinical data of breast cancer patients diagnosed with breast cancer in the Second Hospital of Jilin University from January 1, 2013, to December 31, 2017, were retrospectively analyzed. The prognostic nutritional index (PNI) optimal cutoff values of the subjects' operating characteristic curves divided the patients into a low PNI group (≤51.05) and a high PNI group (>51.05). Correlations between breast cancer and PNI clinicopathological variables were determined by the χ2 test or Fisher exact test. Kaplan-Meier plots and log-rank tests were used to assess clinical outcomes in terms of disease-free survival (DFS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional risk regression models. RESULTS: The best cutoff value for predicting DFS by pretreatment PNI was 51.05 and the Youden index when was 0.416, with a sensitivity of 71.4% and specificity of 70.2%. Univariate analysis showed that PNI ≤ 51.05, human epidermal growth factor receptor-2 (HER-2) positivity, and the number of lymph node metastases >4 were risk factors affecting DFS in invasive breast cancer (p < 0.05). Cox multifactor analysis showed that PNI and lymph node status were the most important factors affecting the prognosis of invasive breast cancer. Neutrophils-to-lymphocytes ratio and platelets-to-lymphocytes ratio were not significantly correlated with patient prognosis (p > 0.05). CONCLUSION: Preoperative peripheral blood PNI in patients with invasive breast cancer are independent risk factors affecting patients' prognosis, they are positively correlated with prognosis and can be used as indicators to assess prognosis. PNI, HER-2, and lymph node status had the best predictive efficacy with the area under the curve = 0.816 (95% confidence interval: 0.680-0.951, p < 0.001).

The association between malnutrition status and hemorrhagic transformation in patients with acute ischemic stroke receiving intravenous thrombolysis.

OBJECTIVES: We evaluated the impact of malnutrition as estimated by the controlling nutritional status (CONUT) score and prognostic nutritional index (PNI) on hemorrhagic transformation (HT) and stroke outcomes after intravenous thrombolysis (IVT). MATERIALS AND METHODS: Using a multicenter registry database, we enrolled 808 patients with acute ischemic stroke who received IVT between August 2013 and May 2021. We defined malnutrition as a CONUT score ≥ 2 and low PNI. The primary outcome measure was the occurrence of symptomatic HT contributing to early neurologic deterioration (END-SHT) after IVT. Multivariable analysis was performed to analyze the association between CONUT score, PNI, and END-SHT after IVT. RESULTS: The rate of END-SHT was higher with increasing CONUT scores and PNI values. In the multivariable analysis, CONUT score ≥ 5 and low PNI were significantly associated with END-SHT (odds ratio [95% confidence interval], CONUT score ≥ 5: 12.23 [2.41-62.07], p = 0.003; low PNI: 4.98 [1.76-14.09], p = 0.003). The receiver operating characteristic curve showed that both the CONUT score and PNI had good predictive ability. The cutoff values for CONUT and PNI were 5 and 42.3, respectively, for END-SHT. CONCLUSION: Malnutrition, as denoted by a higher CONUT score and lower PNI, was associated with END-SHT. The joint application of both nutritional markers could be useful in predicting END-SHT after IVT.

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.

Validation of the pathological narcissistic inventory (PNI) and its brief form (B-PNI) in the Arabic language.

BACKGROUND: The Pathological Narcissism Inventory (PNI) is a multidimensional measure developed to assess narcissistic grandiosity and narcissistic vulnerability. We aimed to validate the Arabic version of the original Pathological Narcissistic Inventory (PNI) and its brief form (B-PNI) in a community sample of Lebanese adults. METHODS: The English language PNI items were translated into Arabic following a rigorous translation, back-translation, and linguistic evaluation. A total of 401 participants were administered the translated PNI, as well as previously validated Arabic versions of the Big Five Inventory-2, the Rosenberg Self-esteem Scale, the Patient Health Questionnaire (PHQ-9), and the Impulsivity-8 Scale. RESULTS: Exploratory and confirmatory analyses supported the existence of seven first-order and two second-order factors of the PNI and B-PNI. Except for exploitativeness where females scored lower than males, no other significant differences by gender were observed for the remaining PNI subscale scores. Additionally, scores on all the subscales exhibited good reliability, while the associations with external measures supported the concurrent validity of the translated instrument. CONCLUSION: The results of this study suggest that scores on the PNI and B-PNI are highly reliable with satisfactory concurrent and factorial validity, providing an assessment of broadly defined pathological narcissism among the Lebanese young adult population. The availability of the Arabic PNI and its brief form should facilitate improved understanding of pathological narcissism in Arabic cultures and the different factors that govern narcissistic personality pathology.

Association between nutritional status scores and the 30-day mortality in patients with acute kidney injury: an analysis of MIMIC-III database.

BACKGROUND: Studies have proven that the risk of acute kidney injury (AKI) increased in patients with malnutrition. Prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) were general tools to predict the risk of mortality, but the prognostic value of them for in-hospital mortality among patients with AKI have not been validated yet. Herein, this study aims to explore the association between PNI and GNRI and 30-day mortality in patients with AKI. METHODS: Demographic and clinical data of 863 adult patients with AKI were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database in 2001-2012 in this retrospective cohort study. Univariate and multivariate Cox proportional regression analyses were used to explore the association between PNI and GNRI and 30-day mortality. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology (SAPS-II) score were also performed. RESULTS: Totally, 222 (26.71%) patients died within 30 days. After adjusting for covariates, PNI ≥ 28.5 [HR = 0.71, 95%CI: (0.51-0.98)] and GNRI ≥ 83.25 [HR = 0.63, 95%CI: (0.47-0.86)] were both associated with low risk of 30-day mortality. These relationships were also found in patients who aged ≥ 65 years old. Differently, high PNI level was associated with low risk of 30-day mortality among patients with SOFA score < 6 or SAPS-II score < 43, while high GNRI was associated with low risk of 30-day mortality among those who with SOFA score ≥ 6 or SAPS-II score ≥ 43 (all P < 0.05). CONCLUSION: PNI and GNRI may be potential predictors of 30-day mortality in patients with AKI. Whether the PNI is more recommended for patients with mild AKI, while GNRI for those with severe AKI is needed further exploration.

Prognostic Nutritional Index (PNI) as a potential predictor and intervention target for perioperative ischemic stroke: a retrospective cohort study.

BACKGROUND: The prognostic nutritional index (PNI) is a nutritional indicator and predictor of various diseases. However it is unclear whether PNI can be a predictor of perioperative ischemic stroke. This study aims to evaluate the association of the preoperative PNI and ischemic stroke in patients undergoing non-cardiac surgery. METHODS: The retrospective cohort study included patients who underwent noncardiac surgery between January 2008 and August 2019. The patients were divided into PNI ≥ 38.8 and PNI < 38.8 groups according to the cut-off value of PNI. Univariate and multivariate logistic regression analyses were performed to explore the association between PNI and perioperative ischemic stroke. Subsequently, propensity score matching (PSM) analysis was performed to eliminate the confounding factors of covariates and further validate the results. Subgroup analyses were completed to assess the predictive utility of PNI for perioperative ischemic stroke in different groups. RESULTS: Amongst 221,542 hospitalized patients enrolled, 485 (0.22%) experienced an ischemic stroke within 30 days of the surgery, 22.1% of patients were malnourished according to PNI < 38.8, and the occurrence of perioperative ischemic stroke was 0.34% (169/49055) in the PNI < 38.8 group. PNI < 38.8 was significantly associated with an increased incidence of perioperative ischemic stroke whether in univariate logistic regression analysis (OR = 1.884, 95% CI: 1.559-2.267, P < 0.001) or multivariate logistic regression analysis (OR = 1.306, 95% CI: 1.061-1.602, P = 0.011). After PSM analysis, the ORs of PNI < 38.8 group were 1.250 (95% CI: 1.000-1.556, P = 0.050) and 1.357 (95% CI: 1.077-1.704, P = 0.009) in univariate logistic regression analysis and multivariate logistic regression analysis respectively. The subgroup analysis indicated that reduced PNI was significantly associated to an increased risk of perioperative ischemic stroke in patients over 65 years old, ASA II, not taking aspirin before surgery, without a history of stroke, who had neurosurgery, non-emergency surgery, and were admitted to ICU after surgery. CONCLUSIONS: Our study indicates that low preoperative PNI is significantly associated with a higher incidence of ischemic stroke in patients undergoing non-cardiac surgery. Preoperative PNI, as a preoperative nutritional status evaluation index, is an independent risk factor useful to predict perioperative ischemic stroke risk, which could be used as an intervenable preoperative clinical biochemical index to reduce the incidence of perioperative ischemic stroke.

GAP-43 targeted indocyanine green-loaded near-infrared fluorescent probe for real-time mapping of perineural invasion lesions in pancreatic cancer in vivo.

OBJECTIVE: Perineural invasion (PNI) is associated with local recurrence, distant metastasis, and a poor prognosis in pancreatic cancer. However, rare attempt was made to identified the PNI intraoperative. To facilitate precise R0 excision of the tumor, we planned to develop a fluorescent probe for intraoperative imaging of the PNI using GAP-43 as the target and indocyanine green (ICG) as the carrier. METHODS: The probe was created by binding peptide antibody and ICG. Its targeting was tested in vitro and in vivo using a co-culture model of PC12 and tumor cells to create an in vitro neural invasion model and a mouse sciatic nerve invasion model. The small animal imaging system and surgical navigation system confirmed the probe's potential clinical applicability. The sciatic nerve damage model was created to confirm the probe's targeting. RESULTS: We used the pancreatic cancer samples and the public database to confirm that GAP-43 was preferentially overexpressed in pancreatic cancer, particularly in PNI. PC12 cells showed high GAP-43RA-PEG-ICG probe-specific absorption after being co-cultured with tumor cells in vitro. In the sciatic nerve invasion experiment, animals in probe group displayed a significantly stronger fluorescence signal at the PNI compared to ICG-NP and the contralateral normal nerves groups. Although only 60 % of mice appeared to have R0 resections by the naked eye, small animal imaging systems and surgical fluorescence navigation systems could remove the tumor with R0 precision. The injury model used in the probe imaging experimental trials demonstrated that the probe was specifically targeted to the injured nerve, regardless of whether the injury was infiltrated by a tumor or physical. CONCLUSION: We developed the GAP-43Ra-ICG-PEG, an active-targeting near-infrared fluorescent (NIRF) probe, that specifically binds to GAP-43-positive neural cells in an in vitro model of PNI. The probe efficiently visualized PNI lesions in pancreatic cancer in preclinical models, opening up new possibilities for NIRF-guided pancreatic surgery, particularly for PNI patients.

Which preoperative immunonutritional index best predicts postoperative mortality after palliative surgery for malignant bowel obstruction in patients with late-stage cancer? A single-center study in Japan comparing the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT).

PURPOSE: To compare the utility of preoperative immunonutritional parameter measures for predicting postoperative mortality following palliative surgery (PS) for malignant bowel obstruction (MBO) in patients with late-stage cancer. METHODS: The subjects of this retrospective study were 83 late-stage cancer patients with MBO who underwent PS between January, 2005 and December, 2018, at a single institution in Japan. We compared the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT) for predicting postoperative mortality following PS in these patients. RESULTS: The most prevalent cancer in the patients who underwent PS was colorectal cancer (54.2%), followed by gastric cancer (24.1%). Postoperative complications of Clavien-Dindo classification grade ≥ 2 developed in 32 (38.6%) patients and stoma-related complications developed in 26 (31.3%) patients. There were 15 (18.1%) patients with 60-day mortality, 22 (26.5%) with 90-day mortality, and 4 (4.8%) with 30-day mortality. Multivariable analysis identified only mGPS as being associated with 60-day mortality (odds ratio, 9.387; 95% confidence interval, 0.001-4.478; p = 0.049). The overall survival of patients with a mGPS score of 2 was significantly worse than that of those with a mGPS score of < 2 (p = 0.013). CONCLUSIONS: These results suggest that the mGPS is a good predictor not only of 60-day mortality, but also of the overall survival of patients with late-stage cancer and MBO.

Clinical significance of prognostic nutritional index (PNI)-monocyte-to-lymphocyte ratio (MLR)-platelet (PLT) score on postoperative outcomes in non-metastatic clear cell renal cell carcinoma.

BACKGROUND: Prognositic nutritional index (PNI), monocyte-to-lymphocyte ratio (MLR) and platelet (PLT) are associated with tumor survival in many human malignancies. Whereas, no study combined PNI-MLR-PLT score and indicated its predictive significance on the prognosis of patients with non-metastatic clear cell renal cell carcinoma (ccRCC). METHODS: In this study, we retrospectively collected the clinicopathological characteristics and prognostic data from 164 cases of non-metastatic ccRCC and aimed to determine the clinical significance of PNI-MLR-PLT score on patients' outcomes after surgery. The optimal cut-off values of PNI (PNI > 47.40 vs PNI < 47.40), MLR (MLR > 0.31 vs MLR < 0.31) and PLT (PLT > 245 vs PLT < 245) were identified with relative operating characteristic (ROC) curve analysis. The PNI-MLR-PLT score system was established by the value of three indexes, each indication was assigned a score of 0 or 1. Overall survival (OS) and metastasis-free survival (MFS) were analyzed using Kaplan-Meier estimate and Cox regression models. RESULTS: The mean follow-up period was 85.67 months. Eight (5.0%) patients died, 4 (2.0%) relapsed, and 7 (4.0%) developed metastasis after surgery. The 3-year OS and MFS rates were 98.2% and 97.6%, and the 5-year OS and MFS rates were both 90.2%. Our results suggested that PNI-MLR-PLT score negatively correlated with pathological T stage and tumor grade. Survival outcomes revealed that lower PNI-MLR-PLT score is associated with inferior OS (P < 0.001) and MFS (P < 0.001) after surgery. Subgroup analysis regarding pathological T stage, tumor grade and surgical modalities obtained consistent results. univariable and multivariable Cox analysis showed that high PNI-MLR-PLT score was the independent protective factor of tumor survival in non-metastatic ccRCC patients. CONCLUSIONS: Our data suggested that PNI-MLR-PLT score could serve as a promising independent prognostic factor in patients with non-metastatic ccRCC.