An extended McNemar test for comparing correlated proportion of positive responses

Marius, Okeh Uchechukwu; Happiness, Obiora-Ilouno

doi:10.15406/bbij.2019.08.00281

Cited by 3 publications

(2 citation statements)

References 20 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the small number of observations, the 95% CI is quite wide. Comparison with load results was carried out using the McNemar test [39] . ( Figure 1 )…”

Section: Resultsmentioning

confidence: 99%

“…Due to the small number of observations, the 95% CI is quite wide. Comparison with load results was carried out using the McNemar test [39] . (Figure 1) The comparative statistical analysis demonstrated that the dltq_01_TpTe parameter has a statically significant difference between the two groups, in the first group, the mean ± Std.…”

Section: Cardo-qvark Feature Selection With Cross-validationmentioning

confidence: 99%

See 1 more Smart Citation

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Marzoog,

Abdullaev,

Suvorov

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Cardiovascular disease (CVD) such as ischemic heart disease impacts the people quality of life and has the highest mortality rate in the globe. This returns to the poor diagnostic and therapeutic strategies including the early prevention methods. Aims: To assess the changes in the single channel electrocardiography (SCECG) in rest and on exercise test in patients with vs without ischemic heart disease confirmed by stress computed tomography myocardial perfusion (CTP) imaging. Objectives: Ischemic heart disease patients frequently have preventable risk factors and causes that lead to the disease appearance. However, the lack of the proper diagnostic and prevention tools remains a global challenge in or era despite the current scientific advances. Material and methods: A cohort, prospective, single center observational study included 38 participants from Moscow. The participants aged ≥ 40 years and given a written consent to participate in the study. The participants subdivided into two groups according to the presence or absence of the myocardial perfusion defect on the CTP with vasodilatation stress-test. Both groups (group 1 with myocardial perfusion defect (n=19), group 2 without myocardial perfusion defect (n=19)) passed general primary consultation by cardiologist, anthropometric measurements, recording 3-minutes single channel electrocardiography (ECG) in rest before and just after exercise test, blood pressure and pulse rate using automatic tonometer, echocardiography, cardio-ankle vascular index, performing ergometry, immediately repeating the single channel ECG, then performing CTP. LASSO regression with nested cross-validation was used to find association between Cardio-Qvark parameters and the existence of the perfusion defect. Statistical processing was carried out using the R programming language v4.2 and Python v.3.10 [^R]. Results: The study results showed that the single channel ECG have significantly higher diagnostic accuracy in compare to bicycle ergometry. The specificity 63.2 % [95 % confidence interval (CI); 0.391 ; 0.833], sensitivity 73.7 % [95 % CI ; 0.533 ; 0.929], and accuracy of the diagnostic method using exhaled breath analysis, area under the curve (AUC) 68.4 % [95 % CI ; 0.527 ; 0.817]. Conclusion: Single channel ECG (Cardio-Qvark) has the potential to improve the diagnostic accuracy of the bicycle ergometry. Other: Further investigations required to uncover the hidden capabilities of Cardio-Qvark in the diagnosis of ischemic heart disease.

show abstract

“…Due to the small number of observations, the 95% CI is quite wide. Comparison with load results was carried out using the McNemar test [39] . ( Figure 1 )…”

Section: Resultsmentioning

confidence: 99%

Section: Cardo-qvark Feature Selection With Cross-validationmentioning

confidence: 99%

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Marzoog,

Abdullaev,

Suvorov

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Breathome discriminate Ischemic Heart Disease

Marzoog,

Chomakhidze,

Gognieva

et al. 2024

Preprint

View full text Add to dashboard Cite

BackgroundIschemic heart disease (IHD) impacts the quality of life and has the highest mortality rate in between other cardiovascular disease in the globe.ObjectivesIHD early diagnosis, management, and prevention remain underestimated due to the poor diagnostic and therapeutic strategies including the early prevention methods.AimsTo assess the changes in the exhaled breath analysis, volatile organic compounds (VOCs), in patients with ischemic heart disease confirmed by stress computed tomography myocardial perfusion (CTP) imaging.Materials and methodsA single center observational study included 80 participants from Moscow. The participants aged ≥ 40 years and given a written consent to participate in the study. Both groups, G1=31 with vs G2=49 without post stress induced myocardial perfusion defect, passed cardiologist consultation, anthropometric measurements, blood pressure and pulse rate, echocardiography, real time breathing at rest into PTR-TOF-MS-1000, cardio-ankle vascular index, performing bicycle ergometry, and immediately after performing bicycle ergometry repeating the breathing analysis into the PTR-TOF-MS-1000, and after three minutes from the second breath, repeat the breath into the PTR-TOF-MS-1000, then performing CTP. LASSO regression with nested cross-validation was used to find association between VOCs and existence of perfusion defect. Statistical processing was carried out using the R programming language v4.2 and Python v.3.10 [^R], STATISTICA, and IBM SPSS.ResultsThe specificity 77.6 % [95 % confidence interval (CI); 0.666; 0.889], sensitivity 83.9 % [95 % CI; 0.692; 0.964], and accuracy of the diagnostic method using exhaled breath analysis, area under the curve (AUC) 83.8 % [95 % CI; 0.73655857; 0.91493173]. Whereas, the AUC of the bicycle ergometry 50.7 % [95 % CI; 0.388; 0.625], specificity 53.1 % [95 % CI; 0.392; 0.673], and sensitivity 48.4 % [95 % CI; 0.306; 0.657].ConclusionVOCs analysis appear to discriminate individuals with and without IHD with clinically acceptable diagnostic accuracy.OtherThe exhaled breath analysis reflects the myocardiocytes metabolomic signature and related intercellular homeostasis changes and regulation perturbances. Exhaled breath analysis poses a promise result to improve the diagnostic accuracy of the physical stress tests.

show abstract

CARDIO-QVARK Diagnose Ischemic Myocardiocyte!

Marzoog,

Chomakhidze,

Suvorov

et al. 2024

Preprint

View full text Add to dashboard Cite

BackgroundIschemic heart disease (IHD) has the highest mortality rate in the globe. This returns to the poor diagnostic and therapeutic strategies including the early prevention methods.AimsTo assess the changes in the single channel electrocardiography (SCECG) at rest and on exercise test in patients with vs without IHD confirmed by stress computed tomography myocardial perfusion (CTP) imaging with vasodilatation stress-test.ObjectivesIHD frequently have preventable risk factors and causes that lead to the disease appearance. However, the lack of the proper diagnostic and prevention tools remains a global challenge in or era despite the current scientific advances.Material and methodsA single center observational study included 80 participants from Moscow. The participants aged ≥ 40 years and given a written consent to participate in the study. Both groups, G1=31 with vs G2=49 without post stress induced myocardial perfusion defect, passed cardiologist consultation, anthropometric measurements, blood pressure and pulse rate, echocardiography, cardio-ankle vascular index, performing bicycle ergometry, recording 3-minutes SCECG (using CARDO-QVARK) before and just after bicycle ergometry, and then performing CTP. The LASSO regression with nested cross-validation was used to find association between CARDO-QVARK parameters and the existence of the perfusion defect. Statistical processing carried out using the R programming language v4.2, Python v.3.10 [^R], and Statistica 12 programme.ResultsThe CARDO-QVARK parameters analysis have a specificity 75.5 % [95 % confidence interval (CI); 0.628; 0.88], sensitivity 51.6 % [95 % CI; 0.333; 0.695], area under the curve (AUC) 67 % [95 % CI; 0.530; 0.801] in compare to bicycle ergometry AUC; 50.7 % [95 % CI; 0.388; 0.625], specificity 53.1 % [95 % CI; 0.392; 0.673], sensitivity 48.4 % [95 % CI; 0.306; 0.657], based on our study results.ConclusionThe SCECG have no statistically significant higher diagnostic accuracy in compare to bicycle ergometry. However, CARDO-QVARK has the potential to improve the diagnostic accuracy of the bicycle ergometry.OtherFurther investigations required to uncover the hidden capabilities of CARDO-QVARK in the diagnosis of ischemic heart disease.

show abstract

An extended McNemar test for comparing correlated proportion of positive responses

Cited by 3 publications

References 20 publications

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Single Channel Electrocardiography Optimizes the Diagnostic Accuracy of Bicycle Ergometry

Breathome discriminate Ischemic Heart Disease

CARDIO-QVARK Diagnose Ischemic Myocardiocyte!

Contact Info

Product

Resources

About