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

2021 ◽  
Vol 8 ◽  
Author(s):  
Sihan Zhu ◽  
Zhuqing Cheng ◽  
Yuanjun Hu ◽  
Zhenghe Chen ◽  
Ji Zhang ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Surgical Resection ◽  
Operating Characteristic ◽  
Prognostic Nutritional Index ◽  
Curve Analysis ◽  
Prognostic Impact ◽  
Nutritional Index ◽  
Cutoff Values ◽  
Immune Inflammation ◽  
Receiver Operating

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

A validated novel preoperative index to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology: A cohort study

2019 ◽  
Vol 30 (7-8) ◽  
pp. 221-228
Author(s):  
Shahab Hajibandeh ◽  
Shahin Hajibandeh ◽  
Nicholas Hobbs ◽  
Jigar Shah ◽  
Matthew Harris ◽  
...  
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Curve Analysis ◽  
Emergency Laparotomy ◽  
Contamination Index ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Aims To investigate whether an intraperitoneal contamination index (ICI) derived from combined preoperative levels of C-reactive protein, lactate, neutrophils, lymphocytes and albumin could predict the extent of intraperitoneal contamination in patients with acute abdominal pathology. Methods Patients aged over 18 who underwent emergency laparotomy for acute abdominal pathology between January 2014 and October 2018 were randomly divided into primary and validation cohorts. The proposed intraperitoneal contamination index was calculated for each patient in each cohort. Receiver operating characteristic curve analysis was performed to determine discrimination of the index and cut-off values of preoperative intraperitoneal contamination index that could predict the extent of intraperitoneal contamination. Results Overall, 468 patients were included in this study; 234 in the primary cohort and 234 in the validation cohort. The analyses identified intraperitoneal contamination index of 24.77 and 24.32 as cut-off values for purulent contamination in the primary cohort (area under the curve (AUC): 0.73, P < 0.0001; sensitivity: 84%, specificity: 60%) and validation cohort (AUC: 0.83, P < 0.0001; sensitivity: 91%, specificity: 69%), respectively. Receiver operating characteristic curve analysis also identified intraperitoneal contamination index of 33.70 and 33.41 as cut-off values for feculent contamination in the primary cohort (AUC: 0.78, P < 0.0001; sensitivity: 87%, specificity: 64%) and validation cohort (AUC: 0.79, P < 0.0001; sensitivity: 86%, specificity: 73%), respectively. Conclusions As a predictive measure which is derived purely from biomarkers, intraperitoneal contamination index may be accurate enough to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology and to facilitate decision-making together with clinical and radiological findings.

scholarly journals Presepsin values and prognostic nutritional index predict mortality in intensive care unit patients with sepsis: a pilot study

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Multivariate Analysis ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Prognostic Nutritional Index ◽  
Early Mortality ◽  
Curve Analysis ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Log Rank Test ◽  
Nutritional Index

Abstract Objective Sepsis is a major cause of mortality for critically ill patients. This study aimed to determine whether presepsin values can predict mortality in patients with sepsis. Results Receiver operating characteristic (ROC) curve analysis, Log-rank test, and multivariate analysis identified presepsin values and Prognostic Nutritional Index as predictors of mortality in sepsis patients. Presepsin value on Day 1 was a predictor of early mortality, i.e., death within 7 days of ICU admission; ROC curve analysis revealed an AUC of 0.84, sensitivity of 89%, and specificity of 77%; and multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320).

Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of outcomes in inflammatory breast cancer

2021 ◽  
Author(s):  
Ouissam Al Jarroudi ◽  
Khalid El Bairi ◽  
Naima Abda ◽  
Adil Zaimi ◽  
Laila Jaouani ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Receiver Operating Characteristic ◽  
Inflammatory Breast Cancer ◽  
Operating Characteristic ◽  
Cox Regression ◽  
Menopausal Status ◽  
Pathologic Complete Response ◽  
Disease Free Survival ◽  
Prognostic Impact ◽  
Receiver Operating

Background: Inflammatory breast cancer (IBC) is uncommon, aggressive and associated with poor survival outcomes. The lack of prognostic biomarkers and therapeutic targets specific to IBC is an added challenge for clinical practice and research. Inflammatory biomarkers such as neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios (NLR and PLR) demonstrated independent prognostic impact for survival in breast cancer. In our study, these biomarkers were investigated in a cohort of patients with nonmetastatic IBC. Methods: A retrospective cohort of 102 IBC patients with nonmetastatic disease was conducted at the Mohammed VI University Hospital (Oujda, Morocco) between January 2010 and December 2014. NLR and PLR were obtained from blood cell count at baseline before neoadjuvant chemotherapy (NACT) from patients’ medical records. The receiver operating characteristic was used to find the optimal cut-off. Correlation between these blood-based biomarkers and response to NACT was analyzed by Chi-squared and Fisher's exact test. Their prognostic value for predicting disease-free survival (DFS) and overall survival (OS) was performed based on Cox regression models. Results: Totally, 102 patients with IBC were included in the analysis. Pathologic complete response (pCR) after NACT, defined by the absence of an invasive tumor in the breast tissues and nodes after surgery (ypT0 ypN0), was observed in eight patients (7.8%). NACT response was found to be associated with menopausal status (p = 0.039) and nodal status (p < 0.001). Patients with a low NLR had a higher pCR rate as compared with the high-NLR group (p = 0.043). However, the pCR rate was not significantly associated with age (p = 0.122), tumor side (p = 0.403), BMI (p = 0.615), histological grade (p = 0.059), hormone receptors status (p = 0.206), human epidermal growth factor receptor 2 (p = 0.491) and PLR (p = 0.096). Pre-treatment blood-based NLR of 2.28 was used as the cut-off value to discriminate between high and low NLR according to the receiver operating characteristic curves. Similarly, a value of 178 was used as the cut off for PLR. Patients with low-NLR had a significantly better 5-year DFS (p < 0.001) and OS (p < 0.001) than the high-NLR group. Moreover, low-PLR was significantly associated with higher DFS (p = 0.001) and OS (p = 0.003). The NLR showed a significant prognostic impact for DFS (HR: 2.57; 95% CI: 1.43–4.61; p = 0.01) and for OS (HR: 2.92; 95% CI: 1.70–5.02; p < 0.001). Similarly, a meaningful association between PLR and 5-year DFS (HR: 1.95; 95% CI: 1.10–3.46; p = 0.021) and OS (HR: 1.82; 95% CI: 1.06–3.14; p = 0.03) was noticed. Conclusions: High NLR and PLR were found associated with reduced DFS and OS in nonmetastatic IBC. Further studies are awaited to confirm these findings.

scholarly journals Adjustment for the measurement error in evaluating biomarker performances at baseline for future survival outcomes: Time-dependent receiver operating characteristic curve within a joint modelling framework

2020 ◽  
pp. 263208432097225
Author(s):  
Ruwanthi Kolamunnage-Dona ◽  
Adina Najwa Kamarudin
Keyword(s):  
Measurement Error ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Curve Analysis ◽  
Time Dependent ◽  
Survival Outcomes ◽  
Operating Characteristic Curve ◽  
Receiver Operating

The performance of a biomarker is defined by how well the biomarker is capable to distinguish between healthy and diseased individuals. This assessment is usually based on the baseline value of the biomarker; the value at the earliest time point of the patient follow-up, and quantified by ROC (receiver operating characteristic) curve analysis. However, the observed baseline value is often subjected to measurement error due to imperfect laboratory conditions and limited machine precision. Failing to adjust for measurement error may underestimate the true performance of the biomarker, and in a direct comparison, useful biomarkers could be overlooked. We develop a novel approach to account for measurement error when calculating the performance of the baseline biomarker value for future survival outcomes. We adopt a joint longitudinal and survival data modelling formulation and use the available longitudinally repeated values of the biomarker to make adjustment of the measurement error in time-dependent ROC curve analysis. Our simulation study shows that the proposed measurement error-adjusted estimator is more efficient for evaluating the performance of the biomarker than estimators ignoring the measurement error. The proposed method is illustrated using Mayo Clinic primary biliary cirrhosis (PBC) study.

P0742ASSOCIATION BETWEEN EOSINOPHILIA AND RENAL PROGNOSIS IN PATIENTS WITH CHOLESTEROL CRYSTAL EMBOLISM

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yasuhiro Mochida ◽  
Takayasu Ohtake ◽  
Marie Morota ◽  
Kunihiro Ishioka ◽  
Hidekazu Moriya ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Curve Analysis ◽  
Rank Test ◽  
Cholesterol Crystal ◽  
Renal Survival ◽  
Log Rank Test ◽  
Cholesterol Crystal Embolism ◽  
Renal Prognosis ◽  
Receiver Operating

Abstract Background and Aims Approximately, 20%-70% of patients with cholesterol crystal embolism (CCE) have eosinophilia. However, it remains unknown how eosinophilia influences on renal prognosis in patients with CCE. In this study, we investigated an association between eosinophil count (Eo) and renal prognosis in CCE patients on steroid therapy. Method The present study is a single-center retrospective cohort study in patients with pathological proven CCE and Chronic kidney disease from April 2007 to May 2018. This study included the patients who are not treated with maintenance dialysis nor steroid, and moreover followed until November 2019. We analyzed the validity of eosinophil counts using receiver operating characteristic (ROC) curve analysis. In the statistical analysis, renal survival was calculated with the Kaplan– Meier method, and comparisons between higher and low Eo groups were made with the log-rank test. Results Thirty-two patients with pathological diagnosed CCE were enrolled and followed-up for 11.0 (4.7-43.6) months. There were significant differences in the white blood cell (p=0.03), hemoglobin (p=0.007), serum creatinine levels (p=0.03), phosphate (p=0.045), Calcium×Phosphate (p=0.03), and Eo (p=0.016) between the renal survival and renal death groups. Using the receiver operating characteristic curve analysis with Youden index, Eo of 810/µL showed the sensitivity and specificity 71% and 88% for detecting renal death, respectively (area under the carve; 0.789). Comparing the outcomes in patients having Eo ≥ and &lt;810/µL by using the log-rank test, there are significantly higher renal death rate in CCE patients with Eo ≥810/µL (p=0.004). Conclusion Higher eosinophilia was a prognostic risk factor for renal death in the patients with CCE.

Performing Colonic Mast Cell Counts in Patients With Chronic Diarrhea of Unknown Etiology Has Limited Diagnostic Use

2015 ◽  
Vol 139 (2) ◽  
pp. 225-232 ◽  
Author(s):  
Aisha Sethi ◽  
Dhanpat Jain ◽  
Bani Chander Roland ◽  
Jason Kinzel ◽  
Joanna Gibson ◽  
...  
Keyword(s):  
Mast Cell ◽  
Receiver Operating Characteristic ◽  
High Power ◽  
Operating Characteristic ◽  
Chronic Diarrhea ◽  
Unknown Etiology ◽  
High Power Field ◽  
Cell Counts ◽  
Cutoff Values ◽  
Receiver Operating

Context Mastocytic enterocolitis is a recently described entity defined by chronic diarrhea of unknown etiology and normal colon biopsy results with increased mast cells (MCs) seen on special stains. These patients may benefit from mast cell stabilizers; however, the clinical utility of MC counts remains unknown. Objective To determine the clinical utility of colonic MC counts on normal biopsies in patients with chronic diarrhea of unknown etiology. Design Blinded MC counts using a c-Kit stain were performed in 76 consecutive patients with chronic diarrhea of unknown etiology who had normal colon biopsy results and in 89 consecutive control patients presenting for screening colonoscopy. Mast cells were counted per single high-power field in the highest-density area. A t test was used to compare the counts, and receiver operating characteristic curves were generated to examine sensitive and specific cutoff values. Results Overall, MC counts averaged 31 MCs per high-power field in the study group versus 24 MCs per high-power field in the control group (P &lt; .001). When stratified by location, a significant increase was seen in biopsies from the left colon only. Receiver operating characteristic analysis revealed that overall MC counts, left-sided MC counts, and the difference between right- and left-sided MC counts did not yield discriminatory cutoff values (area under the curve, 0.68, 0.74, and 0.81, respectively). Conclusions Mast cell counts were increased in patients with chronic diarrhea of unknown etiology, primarily in the left colon. However, receiver operating characteristic analysis demonstrates no discriminatory cutoff values. Quantitative MC stains yield little useful diagnostic information, and further studies are necessary to determine whether mastocytic enterocolitis truly represents a distinct entity.

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