Assessing Foundational Reading Skills in Kindergarten: A Curriculum-Based Measurement in Spanish

Early identification of learning difficulties is a critical component of the Response to Intervention (RtI) model. In kindergarten, the screening of foundational reading skills can provide a data-based guideline for identifying students requiring a more intensive response-based intervention before starting elementary school. This study examines the classification accuracy and best predictors of a set of Spanish curriculum-based measures administered during kindergarten. The study’s sample included 189 students tested in the fall, winter, and spring. Receiver operating characteristic (ROC) analysis was conducted. The composite score of the curriculum-based measurement (CBM) revealed area under the ROC curve (AUC) values of 0.83, 0.97, and 0.94 in the fall, winter, and spring, respectively. Phonemic awareness and letter-sound knowledge were the only isolated measures that demonstrated excellent AUC values throughout kindergarten. Logistic regression models showed that, when entered simultaneously, all measures were significant predictors of reading risk at some moment of the school year.

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Sonographic Cervical Shortening after Labor Induction is a Predictor of Vaginal Delivery

Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics ◽

10.1055/s-0036-1597629 ◽

2016 ◽

Vol 38 (12) ◽

pp. 585-588 ◽

Cited By ~ 2

Author(s):

Ugo Indraccolo ◽

Gennaro Scutiero ◽

Pantaleo Greco

Keyword(s):

Logistic Regression ◽

Vaginal Delivery ◽

Regression Models ◽

Operating Characteristic ◽

Roc Curves ◽

Cervical Length ◽

Labor Induction ◽

Logistic Regression Models ◽

Independent Variables ◽

Sonographic Evaluation

Objective Analyzing if the sonographic evaluation of the cervix (cervical shortening) is a prognostic marker for vaginal delivery. Methods Women who underwent labor induction by using dinoprostone were enrolled. Before the induction and three hours after it, the cervical length was measured by ultrasonography to obtain the cervical shortening. The cervical shortening was introduced in logistic regression models among independent variables and for calculating receiver operating characteristic (ROC) curves. Results Each centimeter in the cervical shortening increases the odds of vaginal delivery in 24.4% within 6 hours; in 16.1% within 24 hours; and in 10.5% within 48 hours. The best predictions for vaginal delivery are achieved for births within 6 and 24 hours, while the cervical shortening poorly predicts vaginal delivery within 48 hours. Conclusion The greater the cervical shortening 3 hours after labor induction, the higher the likelihood of vaginal delivery within 6, 24 and 48 hours.

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Legume and Sesame Oral Food Challenge Outcomes

10.21203/rs.3.rs-113278/v1 ◽

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.

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Comparison of anti-HTLV-1 antibody screening tests of clia, cleia, and pa by roc analysis using titer and logistic regression models for diagnosis of HAM/TSP

Journal of the Neurological Sciences ◽

10.1016/j.jns.2017.08.3399 ◽

2017 ◽

Vol 381 ◽

pp. 420

Author(s):

D. Kodama ◽

T. Matsuzaki ◽

H. Takashima ◽

S. Izumo ◽

R. Kubota

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Roc Analysis ◽

Screening Tests ◽

Antibody Screening ◽

Logistic Regression Models

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Legume and sesame oral food challenge outcomes

Journal of Food Allergy ◽

10.2500/jfa.2021.3.210009 ◽

2021 ◽

Vol 3 (2) ◽

pp. 42-49 ◽

Cited By ~ 1

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.

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Diagnostic significance of clinical and laboratory indices in predicting non-alcoholic fatty liver disease during screening studies

Terapevticheskii arkhiv ◽

10.26442/00403660.2021.08.200973 ◽

2021 ◽

Vol 93 (8) ◽

pp. 883-889

Author(s):

Aleksandr E. Nosov ◽

Mariia T. Zenina ◽

Olga Y. Gorbushina ◽

Anastasiia S. Baidina ◽

Elena M. Vlasova ◽

...

Keyword(s):

Logistic Regression ◽

Fatty Liver ◽

Regression Models ◽

Roc Analysis ◽

Binary Classification ◽

Diagnostic Assessment ◽

Diagnostic Significance ◽

Alcoholic Fatty Liver ◽

Logistic Regression Models ◽

Alcoholic Fatty Liver Disease

Aim. To study the significance of clinical and laboratory non-invasive indexes along with the insulin resistance index when carrying out diagnostic assessment of non-alcoholic fatty liver disease (NAFLD) during screening examinations. Materials and methods. The study involved 348 employees working at oil-production enterprises. An ultrasound scanning of the liver was carried out to assess the criteria of NAFLD. The following indexes were calculated: fatty liver index (FLI), hepatic steatosis index (HSI), lipid accumulation products (LAP), and homeostasis model assessment of insulin resistance (HOMA1-IR). The prognostic significance of these indexes in relation to the probability of NAFLD diagnosis based on ultrasound data was studied using single-factor and multi-factor logistic regression models followed by ROC-analysis. Results. The FLI, HSI, and HOMA1-IR indexes in single-factor logistic regression models showed a high statistical significance when carrying out diagnostic assessment the NAFLD with good model calibration capability. The percentage of correct binary classification regards the presence/absence of NAFLD amounted to 82.4% for FLI, 79.7% for HSI, and 72.7% for HOMA1-IR (p0.001). According to the ROC-analysis, the area under the curve (AUC) by the NAFLD diagnostic assessment was 0.917 (95% CI 0.8890.945); 0.880 (95% CI 0.8460.915) and 0.849 (95% CI 0.7640.934), respectively. The multi-factor logistic regression model with the inclusion of FLI and HOMA1-IR 72.7% enabled us to achieve the correct binary classification in terms of NAFLD in 84.2% of cases. When it comes to the ROC-analysis, considering the probabilities predicted in the multi-factor logistic model as the test variable and NAFLD in ultrasound examination as the state variable, it was possible to set the value of AUC 0.933 (95% CI 0.8820.985). Conclusion. The studied clinical and laboratory indexes (FLI, HSI, HOMA1-IR) have a high diagnostic significance regarding NAFLD diagnosed using ultrasonographic criteria. The application of the proposed two-factor logistics model makes it possible to predict the presence of NAFLD when examining a large number of patients, without involving additional ultrasound diagnostics specialists in order to use medical resources rationally.

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CD4+/CD45RO+: A Potential Biomarker of the Clinical Response to Glatiramer Acetate

Cells ◽

10.3390/cells8050456 ◽

2019 ◽

Vol 8 (5) ◽

pp. 456

Author(s):

Martin Vališ ◽

Lukáš Sobíšek ◽

Oldřich Vyšata ◽

Blanka Klímová ◽

Ctirad Andrýs ◽

...

Keyword(s):

Glatiramer Acetate ◽

Regression Models ◽

Roc Analysis ◽

Positive Response ◽

Favourable Outcome ◽

Logistic Regression Models ◽

Potential Biomarker ◽

Penalized Logistic Regression ◽

Potential Biomarkers ◽

Better Than

Background: Glatiramer acetate (GA) is an effective treatment for the earliest stages of multiple sclerosis (MS)—clinically isolated syndrome (CIS) or clinically definite MS (CDMS). Objective: This study aims to determine the differences in the lymphocyte population (at baseline and the course of five years) between confirmed sustained progression (CSP) and non-CSP groups and to identify potential biomarkers among these parameters that can predict a positive response to the treatment. Methods: Twelve male and 60 female patients were included in the study. Peripheral blood samples were collected before and five years after treatment with GA. The authors compared lymphocyte parameters between the CSP and non-CSP groups by statistical analyses. Univariate and penalized logistic regression models were fitted to identify the best lymphocyte parameters at baseline and their combination for potential biomarkers. Subsequently, the ROC analysis was used to identify cut-offs for selected parameters. Results: The parameter CD4+/CD45RO+ was identified as the best single potential biomarker, demonstrating the ability to identify patients with CSP. Moreover, a combination of four lymphocyte parameters at baseline, relative lymphocyte counts, CD3+/CD69+, CD4+/CD45RO+, and CD4+/CD45RA+ab, was identified as a potential composite biomarker. This combination explains 23% of the variability in CSP, which is better than the best univariate parameter when compared to CD4+/CD45RO+ at baseline. Conclusions: The results suggest that other biomarkers can help monitor the conditions of patients and predict a favourable outcome.

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The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores

PeerJ ◽

10.7717/peerj.10018 ◽

2020 ◽

Vol 8 ◽

pp. e10018

Author(s):

Lichun Wang ◽

Qingquan Lv ◽

Xiaofei Zhang ◽

Binyan Jiang ◽

Enhe Liu ◽

...

Keyword(s):

Older Adults ◽

High Risk ◽

Hospital Mortality ◽

Regression Models ◽

Roc Analysis ◽

Apache Ii ◽

Organ Function ◽

Logistic Regression Models ◽

Risk Of Death ◽

Male Patients

Background Older adults have been reported to be a population with high-risk of death in the COVID-19 outbreak. Rapid detection of high-risk patients is crucial to reduce mortality in this population. The aim of this study was to evaluate the prognositc accuracy of the Modified Early Warning Score (MEWS) for in-hospital mortality in older adults with COVID-19. Methods A retrospective cohort study was conducted in Wuhan Hankou Hospital in China from 1 January 2020 to 29 February 2020. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of MEWS, Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Function Assessment (SOFA), quick Sequential Organ Function Assessment (qSOFA), Pneumonia Severity Index (PSI), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), and the Systemic Inflammatory Response Syndrome Criteria (SIRS) for in-hospital mortality. Logistic regression models were performed to detect the high-risk older adults with COVID-19. Results Among the 235 patients included in this study, 37 (15.74%) died and 131 (55.74%) were male, with an average age of 70.61 years (SD 8.02). ROC analysis suggested that the capacity of MEWS in predicting in-hospital mortality was as good as the APACHE II, SOFA, PSI and qSOFA (Difference in AUROC: MEWS vs. APACHE II, −0.025 (95% CI [−0.075 to 0.026]); MEWS vs. SOFA, −0.013 (95% CI [−0.049 to 0.024]); MEWS vs. PSI, −0.015 (95% CI [−0.065 to 0.035]); MEWS vs. qSOFA, 0.024 (95% CI [−0.029 to 0.076]), all P > 0.05), but was significantly higher than SIRS and CURB-65 (Difference in AUROC: MEWS vs. SIRS, 0.218 (95% CI [0.156–0.279]); MEWS vs. CURB-65, 0.064 (95% CI [0.002–0.125]), all P < 0.05). Logistic regression models implied that the male patients (≥75 years) had higher risk of death than the other older adults (estimated coefficients: 1.16, P = 0.044). Our analysis further suggests that the cut-off points of the MEWS score for the male patients (≥75 years) subpopulation and the other elderly patients should be 2.5 and 3.5, respectively. Conclusions MEWS is an efficient tool for rapid assessment of elderly COVID-19 patients. MEWS has promising performance in predicting in-hospital mortality and identifying the high-risk group in elderly patients with COVID-19.

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Predictive Validity of Kindergarten Progress Monitoring Measures Across the School Year: Application of Dominance Analysis

Assessment for Effective Intervention ◽

10.1177/1534508418775805 ◽

2018 ◽

Vol 44 (4) ◽

pp. 241-255 ◽

Cited By ~ 3

Author(s):

Nathan H. Clemens ◽

Yu-Yu Hsiao ◽

Leslie E. Simmons ◽

Oi-man Kwok ◽

Emily A. Greene ◽

...

Keyword(s):

Reading Skills ◽

Progress Monitoring ◽

Kindergarten Students ◽

Reading Difficulty ◽

Phoneme Segmentation ◽

Computer Adaptive Test ◽

Letter Naming ◽

Adaptive Test ◽

School Year ◽

Letter Sound

Although several measures are available for monitoring kindergarten reading progress, little research has directly compared them to determine which are superior in predicting year-end reading skills relative to other measures, and how validity may change across the school year as reading skills develop. A sample of 426 kindergarten students who were considered to be at risk for reading difficulty at the start of kindergarten were monitored across the year with a set of paper-based progress monitoring measures and a computer-adaptive test. Dominance analyses were used to determine the extent to which each measure uniquely predicted year-end reading skills relative to other measures. Although the computer-adaptive test was the most dominant predictor at the start of the year over letter sound fluency, letter naming fluency, and phoneme segmentation fluency, letter sound fluency was most dominant by December. Measures of fluency reading real words administered across the second half of the year were dominant to all other assessments. The implications for measure selection are discussed.

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