The Impact of Patient Characteristics on Diagnostic Test Performance

Small Methods ◽  
2022 ◽  
pp. 2101233
Author(s):  
Hannah N. Kozlowski ◽  
Shrey Sindhwani ◽  
Warren C. W. Chan
Keyword(s):  
Diagnostic Test ◽  
Test Performance ◽  
Patient Characteristics ◽  
Diagnostic Test Performance ◽  
The Impact

scholarly journals Major impact of left auricular cardiopathy when associated to supraventricular ectopy?

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
C Marques Pires ◽  
AR Silva ◽  
P Medeiros ◽  
I Campos ◽  
C Oliveira ◽  
...  
Keyword(s):  
Diagnostic Test ◽  
Test Performance ◽  
Left Atrial ◽  
Cox Regression ◽  
Composite Endpoint ◽  
Embolic Stroke ◽  
P Wave ◽  
Stroke Recurrence ◽  
Diagnostic Test Performance ◽  
The Impact

Abstract Funding Acknowledgements Type of funding sources: None. INTRODUCTION Left atrial cardiopathy (LAC) is an independent predictor of atrial fibrillation (FA) and embolic stroke. It is more frequent in patients with embolic stroke of undetermined source (ESUS) than in non-embolic strokes. The current definition doesn’t include supraventricular ectopy. AIM The aim of this work was to describe the importance of LAC in ESUS and to study the impact of adding the number of atrial premature complexes per hour (APC/h) to LAC criteria. METHODS Retrospective analysis of 123 ESUS patients (pts) admitted to Neurology service from 2014 to 2019. LAC was defined according to two criteria (LAC2: severe left atrial enlargement or p-wave terminal force in lead V1 [PTFV1] >5000 µV*ms) or 3 criteria (LAC3: additionally, >30 APC/h). Survival analysis for the occurrence of AF, stroke recurrence and death according to LAC2 and LAC3. Diagnostic test performance analysis for each criterion with ROC curves. RESULTS 43 (35%) of the ESUS pts had LAC2. Pts with LAC2 (35.0%) were older (p = 0.007), more frequently had hypertension (p = 0.004) and lower total cholesterol levels (p = 0.044) than patients without LAC2. The incidence of AF (median follow-up 21 months, IQR = 9-35) was higher both in LAC2 (p = 0.038) and LAC3 (p = 0.001). There were no differences in stroke recurrence or death between patients with or without LAC2 or 3. Among the 3 atrial dysfunction criteria included in LAC3 definition, the number of APC/h was associated with a higher area under the curve for the occurrence of AF (AUC = 0.822). Cox regression revealed that PTFV1 > 5000 µV·ms (HR = 5.12, IC95%=1.28-20.56, p = 0.021) and >30 APC/h (HR = 13.02, IC95%=3.57-47.56) were independent predictors of AF. In addition, the single predictor of the composite endpoint (occurrence of AF, stroke recurrence and death) was >30 APC/h (HR = 5.2, p < 0,001). CONCLUSION In ESUS pts, the subgroup with LAC2 had different clinical characteristics and a higher AF incidence. APC/h were also independently associated with AF incidence and had better diagnostic test performance than the other criteria. In sum, APC/h inclusion as a diagnostic criterion for LAC should be considered and may help in a better therapeutic approach.

Mutual Information as an Index of Diagnostic Test Performance

2003 ◽  
Vol 42 (03) ◽  
pp. 260-264 ◽  
Author(s):  
W. A. Benish
Keyword(s):  
Mutual Information ◽  
Diagnostic Test ◽  
Test Performance ◽  
Random Variable ◽  
Disease State ◽  
Necessary Condition ◽  
Conditional Probabilities ◽  
Amount Of Information ◽  
Diagnostic Test Performance ◽  
Test Result

Summary Objectives: This paper demonstrates that diagnostic test performance can be quantified as the average amount of information the test result (R) provides about the disease state (D). Methods: A fundamental concept of information theory, mutual information, is directly applicable to this problem. This statistic quantifies the amount of information that one random variable contains about another random variable. Prior to performing a diagnostic test, R and D are random variables. Hence, their mutual information, I(D;R), is the amount of information that R provides about D. Results: I(D;R) is a function of both 1) the pretest probabilities of the disease state and 2) the set of conditional probabilities relating each possible test result to each possible disease state. The area under the receiver operating characteristic curve (AUC) is a popular measure of diagnostic test performance which, in contrast to I(D;R), is independent of the pretest probabilities; it is a function of only the set of conditional probabilities. The AUC is not a measure of diagnostic information. Conclusions: Because I(D;R) is dependent upon pretest probabilities, knowledge of the setting in which a diagnostic test is employed is a necessary condition for quantifying the amount of information it provides. Advantages of I(D;R) over the AUC are that it can be calculated without invoking an arbitrary curve fitting routine, it is applicable to situations in which multiple diagnoses are under consideration, and it quantifies test performance in meaningful units (bits of information).

scholarly journals Summarizing Studies of Diagnostic Test Performance

2003 ◽  
Vol 49 (11) ◽  
pp. 1783-1784 ◽  
Author(s):  
Victor M Montori ◽  
Gordon H Guyatt
Keyword(s):  
Diagnostic Test ◽  
Test Performance ◽  
Diagnostic Test Performance

scholarly journals MP24-04 DIAGNOSTIC TEST PERFORMANCE OF ULTRASOUND AND CYTOLOGY IN UPPER TRACT CANCER– RESULTS FROM THE IDENTIFY STUDY

2020 ◽  
Vol 203 ◽  
pp. e348
Author(s):  
Miles Mannas* ◽  
Sinan Khadhouri ◽  
Kevin M Gallagher ◽  
Kenneth R Mackenzie ◽  
Taimur T Shah ◽  
...  
Keyword(s):  
Diagnostic Test ◽  
Test Performance ◽  
Upper Tract ◽  
Tract Cancer ◽  
Diagnostic Test Performance
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