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).

scholarly journals Presepsin values and Prognostic Nutritional Index predict mortality in intensive care unit patients with sepsis: a pilot study

2021 ◽  
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).

scholarly journals Presepsin values and Prognostic Nutritional Index predict mortality in intensive care unit patients with sepsis: a prospective observational study

2020 ◽  
Author(s):  
Yuichiro Shimoyama ◽  
Osamu Umegaki ◽  
Noriko Kadono ◽  
Toshiaki Minami
Keyword(s):  
Multivariate Analysis ◽  
Roc Curve ◽  
Prognostic Nutritional Index ◽  
Early Mortality ◽  
Curve Analysis ◽  
Prognostic Scores ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Icu Admission ◽  
Nutritional Index

Abstract Background 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. Methods A total of 83 adult patients diagnosed with sepsis were prospectively examined. Presepsin values were measured immediately after ICU admission and on Days 2, 3, and 5 after ICU admission. Glasgow Prognostic Score, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, Prognostic Index, and Prognostic Nutritional Index were also determined at baseline. For category classification, total scores were calculated (hereafter, “inflammation-presepsin scores [iPS]”) as follows: a score of 1 was assigned if the presepsin value and inflammation-based prognostic scores at baseline were above cut-offs determined by receiver operating characteristic (ROC) curve analysis for 28-day mortality; a score of 0 was assigned if they were below the cut-offs (total score range, 0–2 points). Presepsin values, inflammation-based prognostic scores, and iPS were compared between non-survivors and survivors. Results 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%; multivariate analysis showed an OR of 1.0007, with a 95%CI of 1.0001–1.0013 (p = 0.0320). Conclusions Presepsin value was a predictor of mortality in sepsis patients. In particular, the presepsin value on Day 1 is useful for predicting early mortality. In the context of 28-day mortality, Prognostic Nutritional Index was found to predict mortality in sepsis patients.

Use of percent positive biopsy cores to predict prostate cancer–specific death in patients treated with dose-escalated radiotherapy.

2011 ◽  
Vol 29 (7_suppl) ◽  
pp. 35-35
Author(s):  
Y. Qian ◽  
F. Y. Feng ◽  
S. Halverson ◽  
K. Blas ◽  
H. M. Sandler ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Roc Curve ◽  
Risk Group ◽  
Curve Analysis ◽  
External Beam Radiation ◽  
Rank Test ◽  
Roc Curve Analysis ◽  
Cut Point ◽  
Log Rank Test ◽  
Positive Biopsy

35 Background: The percent of positive biopsy cores (PPC)-considered a surrogate of local disease burden-has been shown to predict biochemical failure (BF) after external beam radiation therapy (EBRT), but most series have used conventional dose RT. Dose-escalated RT has been demonstrated to improve prostate cancer outcomes, but the value of PPC is unclear in the setting of RT doses high enough to decrease local failure. Methods: A retrospective evaluation was performed of 651 patients treated to ≥75 Gy with biopsy core information available. Patients were stratified for PPC by quartile, and differences by quartile in BF, freedom from metastasis (FFM), cause specific survival (CSS), and overall survival (OS) were assessed using the log-rank test. Receiver operated characteristic (ROC) curve analysis was utilized to determine an optimal cut-point for PPC. Cox proportional hazards multivariate regression was utilized to assess the impact of PPC on clinical outcome when adjusting for risk group. Results: With median follow-up of 62 months the median number of cores sampled was 7 (IQR: 6–12) with median PPC in 38% (IQR: 17%-67%). On log-rank test, BF, FFM, and CSS were all associated with PPC (p < 0.005 for all), with worse outcomes only for the highest PPC quartile (>67%). There was no observed difference in OS based upon PPC. ROC curve analysis confirmed a cut-point of 67% as most closely associated with CSS (p<0.001, AUC=0.71). On multivariate analysis after adjusting for NCCN risk group and ADT use, PPC>67% increased the risk for BF (p<0.0001, HR:2.1 [1.4–3.0]), FFM (p<0.05, HR:1.7 [1.1 to 2.9]), and CSS (p<0.06 (HR:2.1 [1.0–4.6]). When analyzed as a continuous variable controlling for risk group and ADT use, increasing PPC increased the risk for BF (p < 0.002), metastasis (p < 0.05), and CSS (p < 0.02), with a 1–2% increase in relative risk of recurrence for each 1% increase in the PPC. Conclusions: For patients treated with dose-escalated RT, the PPC adds prognostic value but at a higher cut-point then previously utilized. Patients with PPC >67% remain at increased risk for failure even with dose-escalated EBRT and may receive benefit from further intensification of therapy. No significant financial relationships to disclose.

Correlation of vertebral trabecular attenuation in Hounsfield units and the upper instrumented vertebra with proximal junctional failure after surgical treatment of degenerative lumbar disease

2020 ◽  
pp. 1-8
Author(s):  
Qi Wang ◽  
Chi Wang ◽  
Xiaobo Zhang ◽  
Fanqi Hu ◽  
Wenhao Hu ◽  
...  
Keyword(s):  
Roc Curve ◽  
Curve Analysis ◽  
Rank Test ◽  
Hounsfield Units ◽  
Roc Curve Analysis ◽  
Free Survival ◽  
Log Rank Test ◽  
Degenerative Lumbar Disease ◽  
Proximal Junctional Failure ◽  
Upper Instrumented Vertebra

OBJECTIVEThe aim of this study was to investigate whether bone mineral density (BMD) measured in Hounsfield units (HUs) is correlated with proximal junctional failure (PJF).METHODSA retrospective study of 104 patients with adult degenerative lumbar disease was performed. All patients underwent posterior instrumented fusion of 4 or more segments and were followed up for at least 2 years. Patients were divided into two groups on the basis of whether they had mechanical complications of PJF. Age, sex ratio, BMI, follow-up time, upper instrumented vertebra (UIV), lower instrumented vertebra, and vertebral body osteotomy were recorded. The spinopelvic parameters were measured on early postoperative radiographs. The HU value of L1 trabecular attenuation was measured on axial and sagittal CT scans. Statistical analysis was performed to compare the difference of continuous and categorical variables. Receiver operating characteristic (ROC) curve analysis was used to obtain attenuation thresholds. A Kaplan-Meier curve and log-rank test were used to analyze the differences in PJF-free survival. Multivariate analysis via a Cox proportional hazards model was used to analyze the risk factors.RESULTSThe HU value of L1 trabecular attenuation in the PJF group was lower than that in the control group (p < 0.001). The spinopelvic parameter L4–S1 lordosis was significantly different between the groups (p = 0.033). ROC curve analysis determined an optimal threshold of 89.25 HUs (sensitivity = 78.3%, specificity = 80.2%, area under the ROC curve = 0.799). PJF-free survival significantly decreased in patients with L1 attenuation ≤ 89.25 HUs (p < 0.001, log-rank test). When L1 trabecular attenuation was ≤ 89.25 HUs, PJF-free survival in patients with the UIV at L2 was the lowest, compared with patients with their UIV at the thoracolumbar junction or above (p = 0.028, log-rank test).CONCLUSIONSHUs could provide important information for surgeons to make a treatment plan to prevent PJF. L1 trabecular attenuation ≤ 89.25 HUs measured by spinal CT scanning could predict the incidence of PJF. Under this condition, the UIV at L2 significantly increases the incidence of PJF.

Serum diiodotyrosine—a biomarker to differentiate destructive thyroiditis from Graves’ disease

2021 ◽  
Author(s):  
Naoya Fujita ◽  
Yosuke Ono ◽  
Azusa Sano ◽  
Motohiro Kimata ◽  
Seigo Oyama ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Cross Sectional Study ◽  
Curve Analysis ◽  
Diagnostic Methods ◽  
Graves Disease ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Chromatography Tandem Mass Spectrometry ◽  
Liquid Chromatography Tandem Mass

Objective: Conventional diagnostic methods are limited in their ability to differentiate destructive thyroiditis from Graves’ disease. We hypothesised that serum diiodotyrosine (DIT) and monoiodotyrosine (MIT) levels could be biomarkers for differentiating destructive thyroiditis from Graves’ disease. Design: Patients with destructive thyroiditis (n = 13) and Graves’ disease (n = 22) were enrolled in this cross-sectional study. Methods: We assayed the serum DIT and MIT levels using liquid chromatography-tandem mass spectrometry. A receiver operating characteristic (ROC) curve analysis was used to determine the sensitivity and specificity of the serum DIT and MIT levels as biomarkers for differentiating destructive thyroiditis from Graves’ disease. Results: The serum DIT and MIT levels were significantly higher in patients with destructive thyroiditis than in those with Graves’ disease. The ROC curve analysis showed that the serum DIT levels (≥ 359.9 pg/mL) differentiated destructive thyroiditis from Graves’ disease, significantly, with 100.0% sensitivity and 95.5% specificity (P < .001). The diagnostic accuracy of the serum MIT levels (≥119.4 pg/mL) was not as high as that of the serum DIT levels (sensitivity, 84.6%; specificity, 77.3%; P = .001). Conclusions: The serum DIT levels may serve as a novel diagnostic biomarker for differentiating destructive thyroiditis from Graves’ disease.

Value of multimodality imaging in the diagnosis of breast lesions with calcification: A retrospective study

2020 ◽  
Vol 76 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Wenjuan Tong ◽  
Xiaoling Zhang ◽  
Jia Luo ◽  
Fushun Pan ◽  
Jinyu Liang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Multimodality Imaging ◽  
Curve Analysis ◽  
Breast Lesions ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Contrast Enhanced ◽  
Conventional Ultrasound ◽  
Group A

PURPOSE: To assess the value of conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and mammography in the diagnosis of breast lesions with calcifications. METHODS: A total of 87 breast lesions with calcification were subjected to US, CEUS and mammography and divided into 3 groups: Group A (all cases), Group A1 (31 cases who underwent US and CEUS first followed by mammography), and Group A2 (56 cases who underwent mammography first followed by US and CEUS). A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of different methods in different groups. RESULTS: In Group A, the area under the ROC curve (AUROC) of CEUS were 0.937, which were significantly higher than that of mammography (p < 0.05). In Group A1, the AUROC of CEUS were 0.842, which were not significantly different from that of US and mammography (p > 0.05). In Group A2, the AUROC of CEUS were 0.987, which were significantly higher than that of mammography and US (p < 0.05). CONCLUSION: Based on the mammography results, the combination of US and CEUS might improve the diagnostic efficacy in breast lesions with calcification.

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.

scholarly journals A Novel Inflammation-Based Prognostic Score: The Fibrinogen/Albumin Ratio Predicts Prognoses of Patients after Curative Resection for Hepatocellular Carcinoma

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qiaodong Xu ◽  
Yongcong Yan ◽  
Songgang Gu ◽  
Kai Mao ◽  
Jianlong Zhang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Prognostic Value ◽  
Curative Resection ◽  
Operating Characteristic ◽  
Curve Analysis ◽  
Prognostic Scores ◽  
Roc Curve Analysis ◽  
Optimal Cutoff ◽  
Albumin Ratio ◽  
Cutoff Value

Background. Inflammation is an important hallmark of cancer. Fibrinogen and albumin are both vital factors in systemic inflammation. This study investigated the prognostic value of the fibrinogen/albumin ratio in HCC patients who underwent curative resection. Methods. HCC patients (n=151) who underwent curative resection were evaluated retrospectively. The optimal cutoff value for the fibrinogen/albumin ratio was selected by receiver operating characteristic (ROC) curve analysis. Correlations between preoperative fibrinogen/albumin ratios and clinicopathologic characteristics were analyzed by χ2 test. The area under the receiver operating characteristic curve (AUC) was calculated to compare the prognostic value of the fibrinogen/albumin ratio with other prognostic scores (neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and albumin-bilirubin (ALBI) score). The overall survival (OS) and time to recurrence (TTR) were assessed by the log-rank test and the Cox proportional hazard regression model. Results. An optimal cutoff value of the preoperative fibrinogen/albumin ratio (0.062) was determined for 151 patients who underwent curative resection for HCC via a ROC curve analysis. Fibrinogen/albumin ratio > 0.062 was significantly associated with microvascular invasion, an advanced BCLC stage, and ALBI grade. Multivariate analyses revealed that fibrinogen/albumin ratio was an independent predictor for OS (P=0.003) and TTR (P=0.035). The prognostic ability of fibrinogen/albumin ratio was comparable to other prognostic scores (NLR, PLR, and ALBI score) by AUC analysis. Patients with a fibrinogen/albumin ratio > 0.062 had lower 1-, 3-, and 5-year OS rates (66.0%, 41.8%, and 28.2% versus 81.9%, 69.3%, and 56.1%, resp., P<0.001) and higher 1-, 3-, and 5-year recurrence rates (60.9%, 79.2%, and 90.5% versus 49.5%, 69.1%, and 77.1%, resp., P=0.008) compared with patients with fibrinogen/albumin ratio ≤ 0.062. Conclusion. The preoperative fibrinogen/albumin ratio is an effective prognostic factor for HCC patients who underwent curative resection. An elevated fibrinogen/albumin ratio significantly correlates with poorer survival and a higher risk of recurrence in HCC patients.

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