scholarly journals Validation and modification of HEART score components for patients with chest pain in the emergency department

2021 ◽  
Vol 8 (4) ◽  
pp. 279-288
Author(s):  
Min Jae Kim ◽  
Sang Ook Ha ◽  
Young Sun Park ◽  
Jeong Hyeon Yi ◽  
Won Seok Yang ◽  
...  
Keyword(s):  
Emergency Department ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Statistical Significance ◽  
Receiver Operating Characteristics ◽  
Validation Group ◽  
Operating Characteristics ◽  
Heart Score ◽  
Risk Patients ◽  
Receiver Operating

Objective This study aimed to clarify the relative prognostic value of each History, Electrocardiography, Age, Risk Factors, and Troponin (HEART) score component for major adverse cardiac events (MACE) within 3 months and validate the modified HEART (mHEART) score.Methods This study evaluated the HEART score components for patients with chest symptoms visiting the emergency department from November 19, 2018 to November 19, 2019. All components were evaluated using logistic regression analysis and the scores for HEART, mHEART, and Thrombolysis in Myocardial Infarction (TIMI) were determined using the receiver operating characteristics curve.Results The patients were divided into a derivation (809 patients) and a validation group (298 patients). In multivariate analysis, age did not show statistical significance in the detection of MACE within 3 months and the mHEART score was calculated after omitting the age component. The areas under the receiver operating characteristics curves for HEART, mHEART and TIMI scores in the prediction of MACE within 3 months were 0.88, 0.91, and 0.83, respectively, in the derivation group; and 0.88, 0.91, and 0.81, respectively, in the validation group. When the cutoff value for each scoring system was determined for the maintenance of a negative predictive value for a MACE rate >99%, the mHEART score showed the highest sensitivity, specificity, positive predictive value, and negative predictive value (97.4%, 54.2%, 23.7%, and 99.3%, respectively).Conclusion Our study showed that the mHEART score better detects short-term MACE in high-risk patients and ensures the safe disposition of low-risk patients than the HEART and TIMI scores.

scholarly journals A Rapid Heparin Antibody Detection Assay Performs Better Than 4T's Score in Predicting HIT Diagnosis: A Single Community Medical Center Retrospective Analysis

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1457-1457 ◽  
Author(s):  
Srikant Nannapaneni ◽  
Ishan Malhotra ◽  
Michael Simon ◽  
Phone Oo ◽  
Trishala Meghal ◽  
...  
Keyword(s):  
High Risk ◽  
Roc Curve ◽  
Predictive Value ◽  
Risk Groups ◽  
Low Risk ◽  
Receiver Operating Characteristics ◽  
Operating Characteristics ◽  
Test Result ◽  
4T Score ◽  
Receiver Operating

Abstract Introduction: The diagnosis of heparin induced thrombocytopenia (HIT) and thrombosis (HITT) is challenging due to poor availability of the gold standard serotonin releasing assay (SRA) and suboptimal positive predictive value from clinical scoring models such as 4T score. A common algorithm used for diagnosing HIT is: 4T's pretest probability score estimation in cases suspected of HIT; followed by HIT antibody test in the intermediate to high risk groups; followed by confirmation with SRA test in HIT antibody positive patients. Since 2011, a Particle Immune-Filtration Assay (PIFA) Heparin/Platelet Factor 4 Rapid Assay (HPF4-RA) (Akers Bioscience, Inc, Thorofare, NJ) became available in our medical center and test results were available on the same day. We observed that HPF4-RA test was being routinely ordered along with SRA test at the same time. We performed this retrospective analysis to evaluate and compare the predictive performance for SRA positive HIT diagnosis using 4T score or HPF4-RA. We applied a regression analysis model, to calculate area under receiver operating characteristics (ROC) curve. Methods: A list of all consecutive patients who had HIT antibody test and/or SRA test performed between January 2010 and June 2013 was obtained, which consisted of 402 patients. Patients with duplication of tests were deleted from analysis. 283 patients had results reported for both HPF4-RA (positive in n=42, negative in n=241) and SRA tests (positive in n=16 and negative in n=267); and these results were used for calculation of HPF4-RA prediction model. Two patients had HPF4-RA negative result but SRA positive test result. 4T's scores were calculated for 125 patients, consisting of all HPF4-RA positive patients (n=42), and patients randomly selected from the total HPF4-RA negative pool (n=83). Electronic medical records were reviewed for temporal trend of platelet counts, diagnosis, medication use, Doppler tests and competing causes of thrombocytopenia. Persons calculating the 4T's score were blinded to the laboratory test results. Results: Stratification of the patients with 4T's score analysis (n=125) revealed that the distribution of SRA positive patients (n=16) was 31.3% (n=5) in low risk, 31.3% (n=5) in intermediate risk, and 37.5% (n=6) in high risk groups; while the distribution of SRA negative patients (n=109) was 45.9% (n=50) in low risk, 43.1% (n=47) in intermediate risk and 11.0% (n=12) in high risk groups. The area under receiver operating characteristics (ROC) curve for 4T score as a continuous variable to predict SRA positive HIT was 0.659 (95% CI 0.516 - 0.802; p = 0.041), and the area under ROC curve for HPF4-RA to predict SRA positive HIT was 0.818 ( 95% CI 0.712 - 0.924; p = 0.00) (Figure 1). HPF4-RA test also showed better overall prediction parameters for HIT as shown in Table 1. A combination of HIT HPF4-RA positive result and a 4T score ≥ 4 did not increase the area under ROC curve for prediction of SRA positive HIT. Abstract 1457. Table1: Predictive performance of 4T's score and HPF4-RA for HIT (defined by positive SRA) Sensitivity (95% CI) Specificity (95% CI) PPV (95% CI) NPV (95% CI) Number of patients (%) 4T's score ≤ 3 (Low Risk) 0.31 (0.11 – 0.59) 0.72 (0.64 - 0.79) 0.11 (0.03 - 0.23) 0.91 (0.84 - 0.95) 56 (44.8) 4T's score ≥ 4 (Intermediate and High Risk) 0.69 (0.41-0.89) 0.39 (0.29 - 0.48) 0.14 (0.72 - 0.24) 0.89 (0.77 - 0.96) 69 (55.2) 4T's score ≥ 6 (High Risk) 0.37 (0.15-0.65) 0.82 (0.74 - 0.89) 0.24 (0.09 - 0.45) 0.90 (0.82 - 0.95) 17 (13.6) HPF4-RA Test 0.88 (0.62-0.98) 0.86 (0.81- 0.90) 0.26 (0.16 - 0.41) 0.99 (0.96 - 0.99) 283 PPV: Positive Predictive Value. NPV: Negative Predictive Value Figure 1: Receiver Operating Characteristics (ROC) curve of the 4T's score and HPF4-RA test result for determining the presence of HIT (defined by positive SRA). Figure 1:. Receiver Operating Characteristics (ROC) curve of the 4T's score and HPF4-RA test result for determining the presence of HIT (defined by positive SRA). Conclusions: Both 4T's score and HPF4-RA testing predict SRA positive HIT more than chance; however HPF4-RA testing predicts SRA positive HIT better than 4T's scores with higher sensitivity, specificity and NPV. This result challenges the pretesting algorithm for selecting patients for confirmatory SRA testing to diagnose HIT. Instead of using 4T's score as a screening tool for selecting patients for HPF4 antibody testing; rapid HPF4 antibody assays when available, should be considered as upfront screening tool and positive results considered for confirmatory SRA testing for diagnosis of HIT. Further studies are warranted to confirm this data. Disclosures No relevant conflicts of interest to declare.

Kriteriumsbezogene Cut-Off-Werte für Tätigkeitsspielraum und Arbeitsintensität

Diagnostica ◽  
2019 ◽  
Vol 65 (3) ◽  
pp. 179-190 ◽  
Author(s):  
Vincent Mustapha ◽  
Renate Rau
Keyword(s):  
Receiver Operating Characteristics ◽  
Operating Characteristics ◽  
Receiver Operating

Zusammenfassung. Cut-Off-Werte ermöglichen eine ökonomische, binäre Beurteilung von Summenscores. Für Beanspruchungsfragebögen, die personenbezogene Merkmale erfragen, sind Cut-Off-Werte häufig vorhanden und in der klinischen Diagnostik unerlässlich. Für die Bewertung von Arbeitsmerkmalen sind Cut-Off-Werte ebenfalls wünschenswert. Bislang fehlen sie jedoch für die Beurteilung von Arbeitsmerkmalen wie Arbeitsintensität und Tätigkeitsspielraum. Zwischen 2006 und 2016 wurden daher in verschiedenen Branchen 801 objektive Arbeitsplatzanalysen durchgeführt, welche eine Unterteilung in gut und schlecht gestalteten Tätigkeitsspielraum sowie gut und schlecht gestaltete Arbeitsintensität nach DIN EN ISO 6385 (2016) ermöglichen. Anhand dieser Unterteilung wurden mit der Receiver-Operating-Characteristics-Analyse Cut-Off-Werte für den subjektiv-bedingungsbezogen Fragebogen zum Erleben von Arbeitsintensität und Tätigkeitsspielraum (FIT; Richter et al., 2000 ) ermittelt. Für den Tätigkeitsspielraum weisen Summenscores ≤ 22 und für die Arbeitsintensität Summenscores ≥ 15 auf eine schlechte Gestaltung des jeweiligen Arbeitsmerkmals hin. Anhand einer weiteren Stichprobe von 1 076 Arbeitenden konnte gezeigt werden, dass Arbeitende mit schlecht gestaltetem Tätigkeitspielraum vital erschöpfter sowie weniger engagiert sind und Arbeitende mit schlecht gestalteter Arbeitsintensität eine höhere Erholungsunfähigkeit sowie vitale Erschöpfung aufweisen.

scholarly journals Arterial Digital Pulse Photoplethysmography in Patients with Suspected Thoracic Outlet Syndrome: A Study of the “Ca+Pra” Maneuver

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1128
Author(s):  
Jeanne Hersant ◽  
Pierre Ramondou ◽  
Francine Thouveny ◽  
Mickael Daligault ◽  
Mathieu Feuilloy ◽  
...  
Keyword(s):  
Thoracic Outlet Syndrome ◽  
Pulse Amplitude ◽  
Receiver Operating Characteristics ◽  
Upper Limbs ◽  
Operating Characteristics ◽  
Digital Pulse ◽  
Arterial Inflow ◽  
Receiver Operating

The level of pulse amplitude (PA) change in arterial digital pulse plethysmography (A-PPG) that should be used to diagnose thoracic outlet syndrome (TOS) is debated. We hypothesized that a modification of the Roos test (by moving the arms forward, mimicking a prayer position (“Pra”)) releasing an eventual compression that occurs in the surrender/candlestick position (“Ca”) would facilitate interpretation of A-PPG results. In 52 subjects, we determined the optimal PA change from rest to predict compression at imaging (ultrasonography +/− angiography) with receiver operating characteristics (ROC). “Pra”-PA was set as 100%, and PA was expressed in normalized amplitude (NA) units. Imaging found arterial compression in 23 upper limbs. The area under ROC was 0.765 ± 0.065 (p < 0.0001), resulting in a 91.4% sensitivity and a 60.9% specificity for an increase of fewer than 3 NA from rest during “Ca”, while results were 17.4% and 98.8%, respectively, for the 75% PA decrease previously proposed in the literature. A-PPG during a “Ca+Pra” test provides demonstrable proof of inflow impairment and increases the sensitivity of A-PPG for the detection of arterial compression as determined by imaging. The absence of an increase in PA during the “Ca” phase of the “Ca+Pra” maneuver should be considered indicative of arterial inflow impairment.

scholarly journals Indicadores antropométricos de sobrepeso e obesidade como preditores de alterações lipídicas em adolescentes

2011 ◽  
Vol 29 (1) ◽  
pp. 46-53 ◽  
Author(s):  
Carmem Cristina Beck ◽  
Adair da Silva Lopes ◽  
Francisco José G. Pitanga
Keyword(s):  
Receiver Operating Characteristics ◽  
Operating Characteristics ◽  
Receiver Operating

OBJETIVO: Identificar o poder preditivo dos indicadores antropométricos de sobrepeso e obesidade para alterações lipídicas em adolescentes. MÉTODOS: Estudo transversal envolvendo 660 adolescentes de 14 a 19 anos (317 rapazes; 343 moças). Foram considerados os seguintes indicadores antropométricos: índice de massa corpórea (IMC), circunferência da cintura, razão cintura/estatura e índice de conicidade. As alterações lipídicas foram caracterizadas pelo colesterol total (CT) superior a 170mg/dL e lipoproteínas de alta densidade (HDL-C) inferiores a 45mg/dL. Para identificar os preditores das alterações lipídicas, adotou-se a análise das curvas Receiver Operating Characteristics (ROC). Foram calculados os pontos de corte com suas respectivas sensibilidades e especificidades e, posteriormente, as razões de prevalência entre os indicadores antropométricos e os desfechos investigados. RESULTADOS: As áreas sob as curvas ROC (intervalo de confiança de 95%) para CT elevado nos rapazes e respectivos pontos de corte foram: IMC de 0,74 (0,65-0,83) e 21,7kg/m²; circunferência de cintura de 0,73 (0,65-0,82) e 74cm; razão cintura/estatura de 0,72 (0,63-0,81) e 0,4; índice de conicidade de 0,60 (0,50-0,69) e 1,1. Para a predição dos baixos níveis de HDL-C, as áreas da curva ROC e os pontos de corte foram: IMC dos rapazes de 0,58 (0,52-0,64) e 20,7kg/m²; para as moças de 0,61 (0,53-0,69) e 20,8kg/m²; circunferência de cintura, rapazes com 0,57 (0,50-0,63) e 73,3cm, moças com 0,63 (0,55-0,72) e 71,5cm; razão cintura/estatura (C/Est), rapazes de 0,58 (0,52-0,65) e C/Est de 0,4, moças de 0,62 (0,54-0,70) e C/Est de 0,4; índice de conicidade, moças de 0,60 (0,51-0,68) e 1,1. CONCLUSÕES: Os indicadores antropométricos foram bons preditores de CT elevado nos rapazes e razoáveis para os baixos níveis de HDL-C para rapazes e moças.

scholarly journals Age-Adjusted Endothelial Activation and Stress Index for Coronavirus Disease 2019 at Admission Is a Reliable Predictor for 28-Day Mortality in Hospitalized Patients With Coronavirus Disease 2019

2021 ◽  
Vol 8 ◽  
Author(s):  
Felipe Pérez-García ◽  
Rebeca Bailén ◽  
Juan Torres-Macho ◽  
Amanda Fernández-Rodríguez ◽  
Maria Ángeles Jiménez-Sousa ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Receiver Operating Characteristic ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Operating Characteristic ◽  
Predictive Performance ◽  
Endothelial Activation ◽  
Stress Index ◽  
Reliable Predictor ◽  
Receiver Operating

Background: Endothelial Activation and Stress Index (EASIX) predict death in patients undergoing allogeneic hematopoietic stem cell transplantation who develop endothelial complications. Because coronavirus disease 2019 (COVID-19) patients also have coagulopathy and endotheliitis, we aimed to assess whether EASIX predicts death within 28 days in hospitalized COVID-19 patients.Methods: We performed a retrospective study on COVID-19 patients from two different cohorts [derivation (n = 1,200 patients) and validation (n = 1,830 patients)]. The endpoint was death within 28 days. The main factors were EASIX [(lactate dehydrogenase * creatinine)/thrombocytes] and aEASIX-COVID (EASIX * age), which were log2-transformed for analysis.Results: Log2-EASIX and log2-aEASIX-COVID were independently associated with an increased risk of death in both cohorts (p &lt; 0.001). Log2-aEASIX-COVID showed a good predictive performance for 28-day mortality both in the derivation cohort (area under the receiver-operating characteristic = 0.827) and in the validation cohort (area under the receiver-operating characteristic = 0.820), with better predictive performance than log2-EASIX (p &lt; 0.001). For log2 aEASIX-COVID, patients with low/moderate risk (&lt;6) had a 28-day mortality probability of 5.3% [95% confidence interval (95% CI) = 4–6.5%], high (6–7) of 17.2% (95% CI = 14.7–19.6%), and very high (&gt;7) of 47.6% (95% CI = 44.2–50.9%). The cutoff of log2 aEASIX-COVID = 6 showed a positive predictive value of 31.7% and negative predictive value of 94.7%, and log2 aEASIX-COVID = 7 showed a positive predictive value of 47.6% and negative predictive value of 89.8%.Conclusion: Both EASIX and aEASIX-COVID were associated with death within 28 days in hospitalized COVID-19 patients. However, aEASIX-COVID had significantly better predictive performance than EASIX, particularly for discarding death. Thus, aEASIX-COVID could be a reliable predictor of death that could help to manage COVID-19 patients.

Sign in / Sign up

Export Citation Format

Share Document