scholarly journals Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort

2021 ◽  
Vol 15 (12) ◽  
pp. e0009974
Author(s):  
Bruno Oliveira de Figueiredo Brito ◽  
Zachi I. Attia ◽  
Larissa Natany A. Martins ◽  
Pablo Perel ◽  
Maria Carmo P. Nunes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Ejection Fraction ◽  
Chagas Disease ◽  
Left Ventricular Systolic Dysfunction ◽  
Systolic Dysfunction ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Systolic Dysfunction ◽  
Ventricular Ejection Fraction ◽  
Male Sex

Background Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively common and its treatment using low-cost drugs can improve symptoms and reduce mortality. Recently, an artificial intelligence (AI)-enabled ECG algorithm showed excellent accuracy to detect LVSD in a general population, but its accuracy in ChD has not been tested. Objective To analyze the ability of AI to recognize LVSD in patients with ChD, defined as a left ventricular ejection fraction determined by the Echocardiogram ≤ 40%. Methodology/principal findings This is a cross-sectional study of ECG obtained from a large cohort of patients with ChD named São Paulo-Minas Gerais Tropical Medicine Research Center (SaMi-Trop) Study. The digital ECGs of the participants were submitted to the analysis of the trained machine to detect LVSD. The diagnostic performance of the AI-enabled ECG to detect LVSD was tested using an echocardiogram as the gold standard to detect LVSD, defined as an ejection fraction <40%. The model was enriched with NT-proBNP plasma levels, male sex, and QRS ≥ 120ms. Among the 1,304 participants of this study, 67% were women, median age of 60; there were 93 (7.1%) individuals with LVSD. Most patients had major ECG abnormalities (59.5%). The AI algorithm identified LVSD among ChD patients with an odds ratio of 63.3 (95% CI 32.3–128.9), a sensitivity of 73%, a specificity of 83%, an overall accuracy of 83%, and a negative predictive value of 97%; the AUC was 0.839. The model adjusted for the male sex and QRS ≥ 120ms improved the AUC to 0.859. The model adjusted for the male sex and elevated NT-proBNP had a higher accuracy of 0.89 and an AUC of 0.874. Conclusion The AI analysis of the ECG of Chagas disease patients can be transformed into a powerful tool for the recognition of LVSD.

scholarly journals Systolic left ventricular dysfunction in patients with clinically suspected myocarditis

2020 ◽  
Vol 17 (4) ◽  
pp. 452-460
Author(s):  
N. P. Mitkovskaya ◽  
E. M. Balysh ◽  
T. V. Statkevich ◽  
N. A. Ladygina ◽  
E. B. Petrova ◽  
...  
Keyword(s):  
Heart Rate ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Left Ventricular Systolic Dysfunction ◽  
Systolic Dysfunction ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Left Ventricular Ejection ◽  
Ventricular Systolic Dysfunction ◽  
Ventricular Ejection Fraction

The aim of the study was to investigate the features of clinically suspected myocarditis complicated by the left ventricular systolic dysfunction development. 93 patients with clinically suspected myocarditis were examined. The average age was 36.63 ± 1.15 years. In 43.01 % of patients the disease was accompanied by a decrease in left ventricular systolic function. In the group of patients with left ventricular systolic dysfunction in comparison with those with preserved left ventricular ejection fraction, a significantly lower proportion of men (75 % versus 81 %, respectively, χ2 = 9.3, p < 0,01) and a higher average group age (40.7 ± 1.87 versus 33.6 ± 1.3 years, respectively, p <  0,01) were revealed. The course of the disease in patients with left ventricular systolic dysfunction was characterized by a more frequent development of rhythm disturbances (65 % versus 43.3 %, respectively, χ2  = 4.3, p  < 0,05) and a higher heart rate at admission (94.5 (75‒100) and 85 (70‒89) beats per minute, respectively, p = 0.006). The structural and functional state of the heart according to echocardiography in patients with a reduced left ventricular ejection fraction versus comparison group was characterized by larger heart chambers sizes, more pronounced violations of local left ventricular contractility, more frequent involvement of the right ventricle in the pathological process (56.3  % versus 22.2  %, respectively, χ2   =  6.4, p  < 0,05). The relationships between the left ventricular ejection fraction Весці Нацыянальнай акадэміі навук Беларусі. Серыя медыцынскіх навук. 2020. Т. 17, № 4. C. 452–460 453 and the patient’s age (r = ‒0.36), the value of the heart rate at admission (r = ‒0.32), the severity of heart failure at admission, the degree of impaired local contractility of the left ventricle, the degree of right ventricular function (TAPSE, r  =  0.58), the severity of myocardial fibrosis according to cardiovascular magnetic resonance imaging (r = ‒0.32) were revealed.

Peripartum Cardiomyopathy

2018 ◽  
Author(s):  
Kendra M Gray ◽  
Michael R Foley
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Left Ventricular Systolic Dysfunction ◽  
Systolic Dysfunction ◽  
The United States ◽  
Left Ventricular ◽  
Peripartum Cardiomyopathy ◽  
Left Ventricular Ejection ◽  
Ventricular Systolic Dysfunction ◽  
Ventricular Ejection Fraction

Peripartum cardiomyopathy (PPCM) is a serious and rare disease of late pregnancy or the early postpartum period. It is defined as idiopathic, nonfamilial, nongenetic, heart failure occurring in the absence of any other identifiable causes of heart disease within the last month of pregnancy or within the first 5 months postdelivery in otherwise previously healthy woman. The incidence in the United States is 1 per 3,000 to 4,000 live births. Left ventricular systolic dysfunction develops, almost always leading to a left ventricular ejection fraction of less than 45%. PPCM is unique in its rapid medical course and propensity to spontaneously resolve within 3 to 6 months of disease onset. The mortality rate is high, up to 10%, and the risk of relapse in subsequent pregnancies is also elevated. Treatment for PPCM varies slightly based on whether the woman is pregnant or postpartum. Conventional pharmacologic treatment includes diuretics, angiotensin-converting enzyme inhibitors (postpartum only), vasodilators such as hydralazine, digoxin, β-blockers, and anticoagulants. This review contains 5 figures, 5 tables, and 36 references. Key Words: critical care obstetrics, ejection fraction, heart failure, left ventricular systolic dysfunction, management, maternal mortality, peripartum cardiomyopathy, preeclampsia, pregnancy

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