scholarly journals Systemic Inflammation with Sarcopenia Predict Survival in Patients with Gastric

2021 ◽  
Author(s):  
Yuying Liu ◽  
Guotian Ruan ◽  
Yizhong Ge ◽  
Qinqin Li ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Regression Models ◽  
Statistical Difference ◽  
Operating Characteristic ◽  
Independent Predictor ◽  
Prognostic Indicator ◽  
Comprehensive Analysis ◽  
Receiver Operating Characteristic Curves ◽  
Prognostic Effect ◽  
Patients With Cancer

Abstract Objective: The levels of platelet-related inflammation indicators and sarcopenia have been reported to affect the survival of patients with cancer. To evaluate the prognostic influence of platelet count (PLT), platelet–lymphocyte ratio (PLR), and systemic immune inflammation index (SII), and SII combined with sarcopenia on the survival of patients with gastric cancer (GC).Methods: A total of 1131 patients with GC (811 men and 320 women, average age: 59.45 years) were evaluated. Receiver operating characteristic curves were used to determine the best cut-off values of PLT, PLR, and SII, and univariate and multivariate Cox risk regression models were used to evaluate whether SII is an independent predictor of overall survival (OS). The prognostic SS (SII-sarcopenia) was established based on SII and sarcopenia. Finally, a comprehensive analysis of the prognostic SS was performed. Results: SII had the strongest prognostic effect. The SII and OS of patients with GC were in an inverted U-shape (adjusted HR = 1.06; 95% CI: 0.95-1.18; adjusted P = 0.271). In patients with SII >1800, SII was negatively correlated with OS (adjusted HR = 0.57; 95% CI: 0.29-1.12; adjusted P = 0.102), however, there is no statistical difference. Interestingly, a high SS was associated with a poorer prognosis. The higher the SS score, the worse the OS (P<0.001).Conclusion: SII is an independent prognostic indicator of GC, and high SII is related to poor prognosis. A Higher SS score had worse survival. Thus, the prognostic SS is a reliable predictor of OS in patients with GC.

scholarly journals Clinical Significance of Plasma D-Dimer in COVID-19 Mortality

2021 ◽  
Vol 8 ◽  
Author(s):  
Yayun Li ◽  
Yuhao Deng ◽  
Lin Ye ◽  
Huiyan Sun ◽  
Songtao Du ◽  
...  
Keyword(s):  
Clinical Significance ◽  
Poor Prognosis ◽  
Independent Predictor ◽  
Meta Analysis ◽  
Comprehensive Analysis ◽  
Cochrane Library ◽  
Pooled Data ◽  
Subgroup Analyses ◽  
Trim And Fill ◽  
D Dimer

It is not clear whether D-dimer can be an independent predictor of coronavirus disease 2019 (COVID-19) mortality, and the cut-off of D-dimer for clinical use remains to be determined. Therefore, a comprehensive analysis is still necessary to illuminate the clinical significance of plasma D-dimer in COVID-19 mortality. We searched PubMed, Embase, Cochrane Library, and Scopus databases until November 2020. STATA software was used for all the statistical analyses. The identifier of systematic review registration was PROSPERO CRD42020220927. A total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis. Pooled data showed that patients in high D-dimer group had poor prognosis than those in low D-dimer group [OR = 4.52, 95% CI = (3.61, 5.67), P &lt; 0.001; HR = 2.81, 95% CI = (1.85, 4.27), P &lt; 0.001]. Sensitivity analysis, pooled data based on different effect models and the Duval and Tweedie trim-and-fill method did not change the conclusions. Subgroup analyses stratified by different countries, cutoffs, sample size, study design, and analysis of OR/HR still keep consistent conclusions. D-dimer was identified as an independent predictor for COVID-19 mortality. A series of values including 0.5 μg/ml, 1 μg/ml, and 2 μg/ml could be determined as cutoff of D-dimer for clinic use. Measurement and monitoring of D-dimer might assist clinicians to take immediate medical actions and predict the prognosis of COVID-19.

scholarly journals Legume and Sesame Oral Food Challenge Outcomes

2020 ◽  
Author(s):  
Jacob J. Pozin ◽  
Ashley L. Devonshire ◽  
Kevin Tom ◽  
Melanie Makhija ◽  
Anne Marie Singh
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Operating Characteristic ◽  
Food Challenge ◽  
Specific Ige ◽  
Oral Food Challenge ◽  
Food Allergens ◽  
Logistic Regression Models ◽  
Receiver Operating Characteristic Curves ◽  
Food Challenges

Abstract Background: Legume and sesame are emerging food allergens. The utility of specific IgE testing (sIgE) to predict clinical reactivity to these allergens is not well described.Objective: To describe clinical outcomes and sIgE in sesame and legume OFCs. Methods: We performed a retrospective review of 74 legume and sesame oral food challenges (OFC) performed between 2007-2017 at the Ann & Robert H. Lurie Children’s Hospital of Chicago. Clinical data, OFC outcome, and sIgE to legume and sesame were collected. Receiver operating characteristic curves (ROC) and logistic regression models predicting OFC outcome were generated. Results: Twenty-eight patients (median age 6.15 years) passed legume OFC (84.85%), and twenty-five patients (median age 5.91 years) passed sesame OFC (60.98%). The median sIgE to legume was 1.41 kUa/L, and 2.34 kUa/L, to sesame. For patients who failed legume OFC, 67% had cutaneous, 16.5% had gastrointestinal, and 16.5% had anaphylaxis. Of these reactions, 80% were controlled with Benadryl alone and 20% required epinephrine. For patients who failed sesame OFC, 53% had cutaneous, 12% had gastrointestinal, and 35% had anaphylaxis. Of these reactions, 6% required epinephrine, 31% were controlled with Benadryl alone, and 63% required additional epinephrine or steroids. Conclusion: Most OFC to legumes were passed and reactions to failed legume OFCs were more likely to be non-severe. Failing an OFC to sesame was almost twice as likely compared to failing a legume OFC, and reactions to failed sesame OFC were often more severe. Sesame sIgE did not correlate with OFC outcome.

scholarly journals Legume and sesame oral food challenge outcomes

2021 ◽  
Vol 3 (2) ◽  
pp. 42-49 ◽  
Author(s):  
Jacob J. Pozin ◽  
Ashley L. Devonshire ◽  
Kevin Tom ◽  
Melanie Makhija ◽  
Anne Marie Singh
Keyword(s):  
Regression Models ◽  
Operating Characteristic ◽  
Immunoglobulin E ◽  
Gastrointestinal Symptoms ◽  
Food Challenge ◽  
Logistic Regression Models ◽  
Receiver Operating Characteristic Curves ◽  
Specific Immunoglobulin E ◽  
Specific Immunoglobulin ◽  
Food Challenges

Background: Legume and sesame are emerging food allergens. The utility of specific immunoglobulin E (sIgE) testing to predict clinical reactivity to these allergens is not well described. Objective: To describe clinical outcomes and sIgE in sesame and legume oral food challenges (OFC). Methods: We performed a retrospective review of 74 legume and sesame OFCs between 2007 and 2017 at the Ann and Robert H. Lurie Children’s Hospital of Chicago. Clinical data, OFC outcome, and sIgE to legume and sesame were collected. Receiver operating characteristic curves and logistic regression models that predicted OFC outcome were generated. Results: Twenty-eight patients (median age, 6.15 years) passed legume OFC (84.9%), and 25 patients (median age, 5.91 years) passed sesame OFC (61.0%). The median sIgE to legume was 1.41 kUA/L and, to sesame, was 2.34 kUA/L. In patients with failed legume OFC, 60.0% had cutaneous symptoms, 20.0% had gastrointestinal symptoms, and 20.0% had anaphylaxis. Of these reactions, 80.0% were controlled with antihistamine alone and 20.0% required epinephrine. In patients for whom sesame OFC failed, 50.0% had cutaneous symptoms, 12.5% had gastrointestinal symptoms, and 37.50% had anaphylaxis. Of these reactions, 6.3% required epinephrine, 31.3% were controlled with diphenhydramine alone, and 63.50% required additional epinephrine or prednisone. Conclusion: Most OFCs to legumes were passed and reactions to failed legume OFCs were more likely to be nonsevere. Sesame OFC that failed was almost twice as likely compared with legume OFC that failed, and reactions to sesame OFC that failed were often more severe. Sesame sIgE did not correlate with OFC outcome.

scholarly journals High KIFC1 expression is associated with poor prognosis in prostate cancer

2021 ◽  
Vol 38 (5) ◽  
Author(s):  
Laurie G. Kostecka ◽  
Athen Olseen ◽  
KiChang Kang ◽  
Gonzalo Torga ◽  
Kenneth J. Pienta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Poor Prognosis ◽  
Prognostic Indicator ◽  
Tumor Stage ◽  
Ploidy Levels ◽  
Free Survival ◽  
Metastatic Lesions ◽  
High Tumor Stage ◽  
High Ploidy ◽  
Kinesin Family

AbstractKinesins play important roles in the progression and development of cancer. Kinesin family member C1 (KIFC1), a minus end-directed motor protein, is a novel Kinesin involved in the clustering of excess centrosomes found in cancer cells. Recently KIFC1 has shown to play a role in the progression of many different cancers, however, the involvement of KIFC1 in the progression of prostate cancer (PCa) is still not well understood. This study investigated the expression and clinical significance of KIFC1 in PCa by utilizing multiple publicly available datasets to analyze KIFC1 expression in patient samples. High KIFC1 expression was found to be associated with high Gleason score, high tumor stage, metastatic lesions, high ploidy levels, and lower recurrence-free survival. These results reveal that high KIFC1 levels are associated with a poor prognosis for PCa patients and could act as a prognostic indicator for PCa patients as well.

scholarly journals Evaluation of alpha-l-fucosidase for the diagnosis of hepatocellular carcinoma based on meta-analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Lei Xi ◽  
Chunqing Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Operating Characteristic ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Receiver Operating Characteristic Curves ◽  
Sensitivity Specificity ◽  
Review Manager

AbstractObjectivesThe main aim of the present study was to assess the diagnostic value of alpha-l-fucosidase (AFU) for hepatocellular carcinoma (HCC).MethodsStudies that explored the diagnostic value of AFU in HCC were searched in EMBASE, SCI, and PUBMED. The sensitivity, specificity, and DOR about the accuracy of serum AFU in the diagnosis of HCC were pooled. The methodological quality of each article was evaluated with QUADAS-2 (quality assessment for studies of diagnostic accuracy 2). Receiver operating characteristic curves (ROC) analysis was performed. Statistical analysis was conducted by using Review Manager 5 and Open Meta-analyst.ResultsEighteen studies were selected in this study. The pooled estimates for AFU vs. α-fetoprotein (AFP) in the diagnosis of HCC in 18 studies were as follows: sensitivity of 0.7352 (0.6827, 0.7818) vs. 0.7501 (0.6725, 0.8144), and specificity of 0.7681 (0.6946, 0.8283) vs. 0.8208 (0.7586, 0.8697), diagnostic odds ratio (DOR) of 7.974(5.302, 11.993) vs. 13.401 (8.359, 21.483), area under the curve (AUC) of 0.7968 vs. 0.8451, respectively.ConclusionsAFU is comparable to AFP for the diagnosis of HCC.

A conditional approach for the receiver operating characteristic curve construction to evaluate diagnostic test performance in a family-matched case–control design

2021 ◽  
pp. 096228022199595
Author(s):  
Yalda Zarnegarnia ◽  
Shari Messinger
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Case Control ◽  
Paired Data ◽  
Characteristic Curves ◽  
Receiver Operating Characteristic Curves ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Receiver operating characteristic curves are widely used in medical research to illustrate biomarker performance in binary classification, particularly with respect to disease or health status. Study designs that include related subjects, such as siblings, usually have common environmental or genetic factors giving rise to correlated biomarker data. The design could be used to improve detection of biomarkers informative of increased risk, allowing initiation of treatment to stop or slow disease progression. Available methods for receiver operating characteristic construction do not take advantage of correlation inherent in this design to improve biomarker performance. This paper will briefly review some developed methods for receiver operating characteristic curve estimation in settings with correlated data from case–control designs and will discuss the limitations of current methods for analyzing correlated familial paired data. An alternative approach using conditional receiver operating characteristic curves will be demonstrated. The proposed approach will use information about correlation among biomarker values, producing conditional receiver operating characteristic curves that evaluate the ability of a biomarker to discriminate between affected and unaffected subjects in a familial paired design.

scholarly journals Gender differences in refraction prediction error of five formulas for cataract surgery

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yibing Zhang ◽  
Tingyang Li ◽  
Aparna Reddy ◽  
Nambi Nallasamy
Keyword(s):  
Gender Differences ◽  
Cataract Surgery ◽  
Prediction Error ◽  
Statistical Difference ◽  
Independent Predictor ◽  
Study Data ◽  
Prediction Errors ◽  
Optical Biometry ◽  
Iol Power ◽  
Lens Power

Abstract Objectives To evaluate gender differences in optical biometry measurements and lens power calculations. Methods Eight thousand four hundred thirty-one eyes of five thousand five hundred nineteen patients who underwent cataract surgery at University of Michigan’s Kellogg Eye Center were included in this retrospective study. Data including age, gender, optical biometry, postoperative refraction, implanted intraocular lens (IOL) power, and IOL formula refraction predictions were gathered and/or calculated utilizing the Sight Outcomes Research Collaborative (SOURCE) database and analyzed. Results There was a statistical difference between every optical biometry measure between genders. Despite lens constant optimization, mean signed prediction errors (SPEs) of modern IOL formulas differed significantly between genders, with predictions skewed more hyperopic for males and myopic for females for all 5 of the modern IOL formulas tested. Optimization of lens constants by gender significantly decreased prediction error for 2 of the 5 modern IOL formulas tested. Conclusions Gender was found to be an independent predictor of refraction prediction error for all 5 formulas studied. Optimization of lens constants by gender can decrease refraction prediction error for certain modern IOL formulas.

scholarly journals Desmoglein‐2 expression is an independent predictor of poor prognosis patients with multiple myeloma

2021 ◽  
Author(s):  
Lisa M. Ebert ◽  
Kate Vandyke ◽  
Mohammad Z. Johan ◽  
Mark DeNichilo ◽  
Lih Y. Tan ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Poor Prognosis ◽  
Independent Predictor

scholarly journals Usefulness of sialic acid for diagnosis of sepsis in critically ill patients: a retrospective study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Bo Yao ◽  
Wen-juan Liu ◽  
Di Liu ◽  
Jin-yan Xing ◽  
Li-juan Zhang
Keyword(s):  
Sialic Acid ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Incomplete Data ◽  
Acid Level ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Diagnostic Efficacy ◽  
Receiver Operating Characteristic Curves ◽  
Sensitivity Specificity

Abstract Background Early diagnosis of sepsis is very important. It is necessary to find effective and adequate biomarkers in order to diagnose sepsis. In this study, we compared the value of sialic acid and procalcitonin for diagnosing sepsis. Methods Newly admitted intensive care unit patients were enrolled from January 2019 to June 2019. We retrospectively collected patient data, including presence of sepsis or not, procalcitonin level and sialic acid level. Receiver operating characteristic curves for the ability of sialic acid, procalcitonin and combination of sialic acid and procalcitonin to diagnose sepsis were carried out. Results A total of 644 patients were admitted to our department from January 2019 to June 2019. The incomplete data were found in 147 patients. Finally, 497 patients data were analyzed. The sensitivity, specificity and area under the curve for the diagnosis of sepsis with sialic acid, procalcitonin and combination of sialic acid and procalcitonin were 64.2, 78.3%, 0.763; 67.9, 84.0%, 0.816 and 75.2, 84.6%, 0.854. Moreover, sialic acid had good values for diagnosing septic patients with viral infection, with 87.5% sensitivity, 82.2% specificity, and 0.882 the area under the curve. Conclusions Compared to procalcitonin, sialic acid had a lower diagnostic efficacy for diagnosing sepsis in critically ill patients. However, the combination of sialic acid and procalcitonin had a higher diagnostic efficacy for sepsis. Moreover, sialic acid had good value for diagnosing virus-induced sepsis.

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