Electromagnetic and Operating Characteristic Analysis of 1 00 MW -Class Wound- Type Synchronous Generator

Abstract Background Accurate, rapid, inexpensive biomarkers are needed to differentiate COVID-19 from bacterial pneumonia, allowing effective treatment and antibiotic stewardship. We hypothesized that the ratio of ferritin to procalcitonin (F/P) reflects greater viral activity and host response with COVID-19 pneumonia, while bacterial pneumonia would be associated with less cytolysis (lower ferritin) and more inflammation (higher procalcitonin), thus a lower F/P ratio. Methods We conducted a retrospective study of adult patients admitted to a single University hospital in the US through May 2020, during the COVID-19 pandemic. We compared F/P ratio of patients diagnosed with COVID-19 or bacterial pneumonia, excluding patients with COVID-19 and bacterial co-infections. In a logistic regression, we controlled for age, sex, body mass index (BMI), diabetes (DM), and hypertension (HTN). We used a receiver operating characteristic analysis to calculate the sensitivity and specificity of F/P values for the diagnosis of COVID-19 versus bacterial pneumonia. Results Of 218 patients with COVID-19 and 17 with bacterial pneumonia, COVID-19 patients were younger (56 vs 66 years, p=0.04), male (66% vs 24%, p=0.009), had higher BMI (31 vs 27 kg/m2, p=0.03), and similar rates of HTN (59% vs 45%, p=0.3) and DM (32% vs 18%, p=0.2). The median F/P ratio was significantly higher in patients with COVID-19 (3195 vs 860, p=0.0003, Figure 1). An F/P ratio cut-off of ≥ 1250 generated a sensitivity of 78% and a specificity of 59% to correctly classify a COVID-19 case (Figure 2). When adjusted for age, gender, BMI, DM, and HTN, a ratio ≥ of 1250 was associated with significantly greater odds of COVID-19 versus bacterial pneumonia (OR: 4.9, CI: 1.5, 16.1, p=0.009). Figure 1. Ferritin to Procalcitonin Ratios of patients with COVID-19 and patients with Bacterial Pneumonia (controls). Figure 2. Receiver Operating Characteristic Analysis of Ferritin to Procalcitonin Ratio Cut-off Values Predicting COVID-19 Diagnosis. Conclusion We observed an elevated F/P ratio in patients with COVID-19 compared to those with bacterial pneumonia. A F/P ratio ≥ 1250 provides a clinically relevant increase in pre-test probability of COVID-19. Prospective studies evaluating the discriminatory characteristics of F/P ratio in larger cohorts is warranted. Disclosures All Authors: No reported disclosures

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Lesion-to-background ratio threshold value of SUVmax of simultaneous [68Ga]Ga-PSMA-11 PET/MRI imaging in patients with prostate cancer

Insights into Imaging ◽

10.1186/s13244-020-00926-y ◽

2020 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Jing Zhao ◽

Bernd Hamm ◽

Winfried Brenner ◽

Marcus R. Makowski

Keyword(s):

Prostate Cancer ◽

Receiver Operating Characteristic ◽

Operating Characteristic ◽

Absolute Threshold ◽

Threshold Value ◽

Imaging Findings ◽

Characteristic Analysis ◽

Psma Pet ◽

The Absolute ◽

Receiver Operating

Abstract Purpose This study aimed to calculate an applicable relative ratio threshold value instead of the absolute threshold value for simultaneous 68Ga prostate-specific membrane antigen/positron emission tomography ([68Ga]Ga-PSMA-11 PET) in patients with prostate cancer (PCa). Materials and methods Our study evaluated thirty-two patients and 170 focal prostate lesions. Lesions are classified into groups according to Prostate Imaging Reporting and Data System (PI-RADS). Standardized uptake values maximum (SUVmax), corresponding lesion-to-background ratios (LBRs) of SUVmax, and LBR distributions of each group were measured based on regions of interest (ROI). We examined LBR with receiver operating characteristic analysis to determine threshold values for differentiation between multiparametric magnetic resonance imaging (mpMRI)-positive and mpMRI-negative lesions. Results We analyzed a total of 170 focal prostate lesions. Lesions number of PI-RADS 2 to 5 was 70, 16, 46, and 38. LBR of SUVmax of each PI-RADS scores was 1.5 (0.9, 2.4), 2.5 (1.6, 3.4), 3.7 (2.6, 4.8), and 6.7 (3.5, 12.7). Based on an optimal threshold ratio of 2.5 to be exceeded, lesions could be classified into MRI-positive lesion on [68Ga]Ga-PSMA PET with a sensitivity of 85.2%, a specificity of 72.0%, with the corresponding area under the receiver operating characteristic curve (AUC) of 0.83, p < 0.001. This value matches the imaging findings better. Conclusion The ratio threshold value of SUVmax, LBR, has improved clinical and research applicability compared with the absolute value of SUVmax. A higher threshold value than the background’s uptake can dovetail the imaging findings on MRI better. It reduces the bias from using absolute background uptake value as the threshold value.

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Diagnostic utility of a Ferritin-to-Procalcitonin Ratio to differentiate patients with COVID-19 from those with Bacterial Pneumonia: A multicenter study

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab124 ◽

2021 ◽

Author(s):

Amal A Gharamti ◽

Fei Mei ◽

Katherine C Jankousky ◽

Jin Huang ◽

Peter Hyson ◽

...

Keyword(s):

Bacterial Pneumonia ◽

Operating Characteristic ◽

Case Control Study ◽

Receiver Operating Characteristic Analysis ◽

Similar Proportion ◽

Characteristic Analysis ◽

Multivariable Analyses ◽

Prevalence Of Diabetes Mellitus ◽

Control Study

Abstract Background There is an urgent need for accurate, rapid, inexpensive biomarkers that can differentiate COVID-19 from bacterial pneumonia. We assess the role of the ferritin-to-procalcitonin (F/P) ratio to classify pneumonia cases into those due to COVID-19 or due to bacterial pathogens. Methods This multicenter case-control study compared patients with either COVID-19 and bacterial pneumonia, admitted between March 1 and May 31, 2020. Patients with COVID-19 and bacterial pneumonia co-infection were excluded. The F/P in patients with COVID-19 or with bacterial pneumonia were compared. Receiver operating characteristic analysis determined the sensitivity and specificity of various cut-off F/P values for COVID-19 versus bacterial pneumonia. Results A total of 242 COVID-19 pneumonia cases and 34 bacterial pneumonia controls were included. Patients with COVID-19 pneumonia had a lower mean age (57.11 vs 64.4 years, p=0.02) and a higher BMI (30.74 vs 27.15 kg/m 2, p=0.02) compared to patients with bacterial pneumonia. Cases and controls had a similar proportion of women (47% vs 53%, p=0.5) and COVID-19 patients had a higher prevalence of diabetes mellitus (32.6% vs 12%, p=0.01). The median F/P was significantly higher in patients with COVID-19 (4037.5) compared to the F/P in bacterial pneumonia (802, p<0.001). An F/P ≥ 877 used to diagnose COVID-19 resulted in a sensitivity of 85% and a specificity of 56%, with a positive predictive value of 93.2%, and a likelihood ratio of 1.92. In multivariable analyses, an F/P ≥ 877 was associated with greater odds of identifying a COVID-19 case (OR: 11.27, CI: 4-31.2, p<0.001). Conclusion An F/P ≥ 877 increases the likelihood of COVID-19 pneumonia compared to bacterial pneumonia.

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Identification of an optimal prolactin threshold to determine prolactinoma size using receiver operating characteristic analysis

Scientific Reports ◽

10.1038/s41598-021-89256-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Bianca M. Leca ◽

Maria Mytilinaiou ◽

Marina Tsoli ◽

Andreea Epure ◽

Simon J. B. Aylwin ◽

...

Keyword(s):

Receiver Operating Characteristic ◽

Operating Characteristic ◽

Tumour Size ◽

Area Under The Curve ◽

Serum Prolactin ◽

Pituitary Neoplasms ◽

Characteristic Analysis ◽

Roc Curve Analysis ◽

Baseline Serum ◽

Receiver Operating

AbstractProlactinomas represent the most common type of secretory pituitary neoplasms, with a therapeutic management that varies considerably based on tumour size and degree of hyperprolactinemia. The aim of the current study was to evaluate the relationship between serum prolactin (PRL) concentrations and prolactinoma size, and to determine a cut-off PRL value that could differentiate micro- from macro-prolactinomas. A retrospective cohort study of 114 patients diagnosed with prolactinomas between 2007 and 2017 was conducted. All patients underwent gadolinium enhanced pituitary MRI and receiver operating characteristic (ROC) analyses were performed. 51.8% of patients in this study were men, with a mean age at the time of diagnosis of 42.32 ± 15.04 years. 48.2% of the total cohort were found to have microadenomas. Baseline serum PRL concentrations were strongly correlated to tumour dimension (r = 0.750, p = 0.001). When performing the ROC curve analysis, the area under the curve was 0.976, indicating an excellent accuracy of the diagnostic method. For a value of 204 μg/L (4338 mU/L), sensitivity and specificity were calculated at 0.932 and 0.891, respectively. When a cut off value of 204 μg/L (4338 mU/L) was used, specificity was 93.2%, and sensitivity 89.1%, acceptable to reliably differentiate between micro- and macro- adenomas.

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Addressing problems with traditional crime linking methods using receiver operating characteristic analysis

Legal and Criminological Psychology ◽

10.1348/135532508x349336 ◽

2009 ◽

Vol 14 (2) ◽

pp. 293-310 ◽

Cited By ~ 47

Author(s):

Craig Bennell ◽

Natalie J. Jones ◽

Tamara Melnyk

Keyword(s):

Receiver Operating Characteristic ◽

Operating Characteristic ◽

Receiver Operating Characteristic Analysis ◽

Characteristic Analysis ◽

Receiver Operating

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Dysbiosis characteristics of gut microbiota in cerebral infarction patients

Translational Neuroscience ◽

10.1515/tnsci-2020-0117 ◽

2020 ◽

Vol 11 (1) ◽

pp. 124-133

Author(s):

Hao Li ◽

Xiaohui Zhang ◽

Dengdeng Pan ◽

Yongqiang Liu ◽

Xuebing Yan ◽

...

Keyword(s):

Gut Microbiota ◽

Cerebral Infarction ◽

Operating Characteristic ◽

National Institutes Of Health ◽

Diagnostic Model ◽

Healthy Controls ◽

Characteristic Analysis ◽

Rrna Sequencing ◽

Stool Samples ◽

Microbiota Diversity

AbstractObjectiveThe aim of this study is to investigate the dysbiosis characteristics of gut microbiota in patients with cerebral infarction (CI) and its clinical implications.MethodsStool samples were collected from 79 CI patients and 98 healthy controls and subjected to 16S rRNA sequencing to identify stool microbes. Altered compositions and functions of gut microbiota in CI and its correlation with clinical features were investigated. Random forest and receiver operating characteristic analysis were used to develop a diagnostic model.ResultsMicrobiota diversity and structure between CI patients and healthy controls were overall similar. However, butyrate-producing bacteria (BPB) were significantly reduced in CI patients, while lactic acid bacteria (LAB) were increased. Genetically, BPB-related functional genes were reduced in CI patients, whereas LAB-related genes were enhanced. The interbacterial correlations among BPB in CI patients were less prominent than those in healthy controls. Clinically, BPB was negatively associated with the National Institutes of Health Stroke Scale (NIHSS), while LAB was positively correlated with NIHSS. Both BPB and LAB played leading roles in the diagnostic model based on 47 bacteria.ConclusionsThe abundance and functions of BPB in CI patients were significantly decreased, while LAB were increased. Both BPB and LAB displayed promising potential in the assessment and diagnosis of CI.

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