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1.
Cardiology in the Young ; 32(Supplement 2):S87, 2022.
Article in English | EMBASE | ID: covidwho-2062123

ABSTRACT

Background and Aim: Growing evidence has documented a severe systemic hyperinflammation syndrome affecting children previ-ously exposed to SARS-CoV-2, known as Multisystem Inflammatory Syndrome in Children (MIS-C). Cardiovascular manifestations in MIS-C are frequent (34%-82%). The aim of our study was to describe the early and late cardiac abnormalities in patients with MIS-C, assessed by standard echocardiography, speckle tracking echocardiography (STE), and cardiac MRI (CMR). Method(s): 32 consecutive patients (21M, 11F), mean age 8.25 +/- 4years (range 1.3-17.7), with confirmed MIS-C diagnosis were enrolled in this study. Clinical, laboratory and microbiological data were collected. At disease onset, all children underwent standard transthoracic echocardiography, STE with analysis of left ventricle global longitudinal strain (GLS) and 23 (75%) of them performed CMR. Patients underwent complete cardiological evaluation, including echocardiography and STE at two months (T1) and six months (T2) after diagnosis. CMR was repeated at six months after diagnosis. Result(s): Cardiovascular symptoms were present in 45.8% of cases. Thirteen children (40.6%) shared Kawasaki Disease-like symp-toms, and 5 (15.6%) needed ICU admission. Early survival was 100%. All patients showed an hyperinflammatory state. Tn-I was elevated in 20 (62.5%) and BNP in 28 (87.5%) patients. Mean LVEF at baseline was 58.8 +/- 10% with 10 patients (31%) below 55%. STE showed reduced mean LV GLS (-17.4 +/- 4%). On CMR, LGE with nonischemic pattern was evident in 8/23 patients (35%). Follow-up data showed rapid improvement of LVEF at T1 (62.5 +/- 7.5 vs. 58.8 +/- 10.6%, p value 0.044) with only three patients (10%) below <= 55% at T1 and one (4%) at T2. LV GLS remained impaired at T1 (-17.2 +/- 2.7 vs.-17.4 +/- 4, p value 0.71), and significantly improved at T2 (-19 +/- 2.6% vs.-17.4 +/- 4%, p value 0.009). LV GLS was impaired (gt;-18%) in 53% of patients at baseline and T1, while only 13% showed persistent LV GLS reduc-tion at T2. Follow-up CMR showed LGE persistence in 33.4% of cases. Conclusion(s): Even though, early cardiac involvement significantly improves during follow-up, subclinical myocardial damage seems to be still detectable 6 months follow up in one third of MIS-C patients.

2.
European heart journal. Cardiovascular Imaging ; 23(Suppl 1), 2022.
Article in English | EuropePMC | ID: covidwho-1998671

ABSTRACT

Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): University Hospital of Padua Background/Introduction: In recent years there has been a growing interest in artificial intelligence (AI) applications in the echocardiography field. This is in order to simplify, reduce time and amplify the use of advanced analyses in the echo lab. Purpose to compare results of the fully automated analysis and manual tracing analysis using a new intuitive software. Methods 28 consecutive previously healthy patients less than 18 years old who were screened at our Center for cardiac evaluation within 6 months after an asymptomatic or paucisymptomatic COVID19 infection were enrolled. All they were in sinus rhythm. Standard transthoracic echocardiography (TTE) was performed for each patient using Canon Aplio i900, software 2D Wall Motion Tracking. Optimized apical 4-, 3- and 2- chamber views, mitral valve inflow pattern and LVOT Doppler interrogation were collected. Off-line data analysis of each examination was performed by both fully automated analysis (AI) and pediatric cardiologists with experience in echocardiography i.e. by manual tracing, evaluation and adjustment of the track by the operator (Echocardiographers). Operators were blinded to the AI analysis. To measure intraobserver variability, evaluations of 16 patients datasets were performed twice by both operators and AI. Results Patients’ demographic data were: age 9,8+/-4,7 years;males 22 (78%);height 134,3+/- 34,9 cm;weight 41,8+/-28,7 kg;BSA 1,2+/-0,4 mq, HR 85+/-15/min. The time taken for off-line analysis by AI and echocardiographers was 4-5 and 13-20 minutes, respectively. Reproducibility of echocardiographers’ analysis was found to be excellent for left ventricle assessment (IC from 0,88 to 0,98);moderate for LVOT mean gradient (IC 0,73), RV end diastolic area (IC 0,69) and right atrial strain (IC 0,59);poor for deceleration time (IC 0,5), left ventricle strain (IC 0,49), RV FAC and strain (IC from 0,27 to 0,45). Conversely, reproducibility of the AI analysis was found to be excellent for any parameter (ICC from 0,87 to 0,99) (Table 1). About the mitralic valve inflow pattern assessment, despite the excellent reproducibility of AI analysis, the margin of error was found to be high. Particularly, a systematic error was observed with a tendency of the AI to overestimate deceleration time (DT-AI 176,6 ± 63,8 vs DT-Ecocardiographers 150,4 ± 24,3). Conclusion(s): Fully automated analysis is technically simple, less time consuming and highly reproducible. AI analysis of the mitralic inflow pattern should be optimized, having found a systematic error in the calculation of deceleration time. Reproducibility is the strong point of AI. This reduces the variability of manual measurements between different sonographers and at different times. Table 1. Echocardiographic measurements

3.
Eur Heart J Cardiovasc Imaging ; 23(8): 1066-1074, 2022 07 21.
Article in English | MEDLINE | ID: covidwho-1873887

ABSTRACT

AIMS: Multisystem inflammatory syndrome in children (MIS-C) with cardiovascular manifestations are frequent. However, there is lacking evidence regarding cardiological follow-up of this cohort of patients. The aim of our study was to describe the early and mid-term cardiac abnormalities assessed by standard and speckle-tracking echocardiography (STE), and cardiac MRI (CMR). METHODS AND RESULTS: We enrolled 32 patients (21 male, 11 female), mean age 8.25 ± 4years, with diagnosis of MIS-C. During admission, all children underwent TTE, STE with analysis of left ventricle global longitudinal strain (GLS) and CMR. Patients underwent cardiological evaluation at 2 (T1) and 6 months (T2) after discharge. Cardiac MRI was repeated at 6 months after discharge. Mean left ventricular ejection fraction (LVEF) at baseline was 58.8 ± 10% with 10 patients (31%) below 55%. Speckle-tracking echocardiography showed reduced mean LV GLS (-17.4 ± 4%). On CMR, late gadolinium enhancement (LGE) with non-ischaemic pattern was evident in 8 of 23 patients (35%). Follow-up data showed rapid improvement of LVEF at T1 (62.5 ± 7.5 vs. 58.8 ± 10.6%, P-value 0.044) with only three patients (10%) below ≤ 55% at T1. Left ventricular (LV) GLS remained impaired at T1 (-17.2 ± 2.7 vs.-17.4 ± 4, P-value 0.71) and significantly improved at T2 (-19 ± 2.6% vs. -17.4 ± 4%, P-value 0.009). LV GLS was impaired (>-18%) in 53% of patients at baseline and T1, whereas only 13% showed persistent LV GLS reduction at T2. Follow-up CMR showed LGE persistence in 33.4% of cases. CONCLUSION: Early cardiac involvement significantly improves during follow-up of MIS-C patients. However, subclinical myocardial dysfunction seems to be still detectable after 6 months of follow-up in a not negligible proportion of them.


Subject(s)
Heart Defects, Congenital , Ventricular Dysfunction, Left , COVID-19/complications , Child , Child, Preschool , Contrast Media , Echocardiography/methods , Female , Follow-Up Studies , Gadolinium , Humans , Magnetic Resonance Imaging , Magnetic Resonance Imaging, Cine/methods , Male , Stroke Volume , Systemic Inflammatory Response Syndrome , Ventricular Function, Left
4.
European Heart Journal Cardiovascular Imaging ; 23(SUPPL 1):i250, 2022.
Article in English | EMBASE | ID: covidwho-1795317

ABSTRACT

Background/Introduction: In recent years there has been a growing interest in artificial intelligence (AI) applications in the echocardiography field. This is in order to simplify, reduce time and amplify the use of advanced analyses in the echo lab. Purpose: to compare results of the fully automated analysis and manual tracing analysis using a new intuitive software. Methods: 28 consecutive previously healthy patients less than 18 years old who were screened at our Center for cardiac evaluation within 6 months after an asymptomatic or paucisymptomatic COVID19 infection were enrolled. All they were in sinus rhythm. Standard transthoracic echocardiography (TTE) was performed for each patient using Canon Aplio i900, software 2D Wall Motion Tracking. Optimized apical 4-, 3- and 2- chamber views, mitral valve inflow pattern and LVOT Doppler interrogation were collected. Off-line data analysis of each examination was performed by both fully automated analysis (AI) and pediatric cardiologists with experience in echocardiography i.e. by manual tracing, evaluation and adjustment of the track by the operator (Echocardiographers). Operators were blinded to the AI analysis. To measure intraobserver variability, evaluations of 16 patients datasets were performed twice by both operators and AI. Results: Patients' demographic data were: age 9,8+/-4,7 years;males 22 (78%);height 134,3+/- 34,9 cm;weight 41,8+/-28,7 kg;BSA 1,2+/-0,4 mq, HR 85+/-15/min. The time taken for off-line analysis by AI and echocardiographers was 4-5 and 13-20 minutes, respectively. Reproducibility of echocardiographers' analysis was found to be excellent for left ventricle assessment (IC from 0,88 to 0,98);moderate for LVOT mean gradient (IC 0,73), RV end diastolic area (IC 0,69) and right atrial strain (IC 0,59);poor for deceleration time (IC 0,5), left ventricle strain (IC 0,49), RV FAC and strain (IC from 0,27 to 0,45). Conversely, reproducibility of the AI analysis was found to be excellent for any parameter (ICC from 0,87 to 0,99) (Table 1). About the mitralic valve inflow pattern assessment, despite the excellent reproducibility of AI analysis, the margin of error was found to be high. Particularly, a systematic error was observed with a tendency of the AI to overestimate deceleration time (DT-AI 176,6 ± 63,8 vs DTEcocardiographers 150,4 ± 24,3). Conclusion(s): Fully automated analysis is technically simple, less time consuming and highly reproducible. AI analysis of the mitralic inflow pattern should be optimized, having found a systematic error in the calculation of deceleration time. Reproducibility is the strong point of AI. This reduces the variability of manual measurements between different sonographers and at different times.

5.
European Heart Journal Cardiovascular Imaging ; 23(SUPPL 1):i252-i253, 2022.
Article in English | EMBASE | ID: covidwho-1795316

ABSTRACT

Background/Introduction: Ejection fraction (EF) is a parameter widely used in Echolab to evaluate left ventricular function. Recently, in parallel with the growing interest in artificial intelligence (AI), attemps have been made to create automated systems for EF assessment, in order to reduce time and improve the accuracy of the analysis. Purpose: to compare results of different methods of EF assessment: visual estimation (visual EF), manual and fully automated analysis. Methods: 28 consecutive pediatric patients were enrolled. This cohort of previously healthy patients was screened at our Center for cardiac evaluation within 6 months after an asymptomatic or paucisymptomatic COVID19 infection. All they were in sinus rhythm. Optimized apical 4- and 2- chamber views were collected for each patient using Canon Aplio i900. Off-line EF assessment was first evaluated visually by pediatric cardiologists with experience in echocardiography, then performed by both fully automated analysis (AI) using two different methods (Automatic Simpson -AI Simpson- and Wall Motion Tracking -AI WMT-) and pediatric cardiologists through manual tracing of endocardial border (Manual Simpson and Manual WMT respectively). Operators were blinded to the AI analysis. To measure intraobserver variability, evaluations of 16 patients' datasets were performed twice by both operators and AI. Results: Patients' demographic data were: age 9,8+/-4,7 years;males 22 (78%);height 134,3+/- 34,9 cm;weight 41,8+/-28,7 kg;BSA 1,2+/-0,4 mq, HR 85+/-15/min. The time taken for off-line analysis was 0.3-0.7 minutes, 1-1.5 minutes, 1-3 minutes and 3-4 minutes, respectively for AI WMT, AI Simpson, Manual WMT and Manual Simpson. As expected, visual EF showed high intraobserver variability and a poor reproducibility (ICC 43%). AI analysis revealed a good to excellent reproducibility (ICC from 80% to 99%, depending on the method used). WMT methods had the best reproducibility both for manual tracing of endocardial border and fully automated analysis (Table 1). The comparison between different methods (Table 2) showed a good agreement between AI Simpson and AI WMT (mean bias 2,9, from -3,2 to 9,0, ICC 86%). A moderate correlation was found between different methods of AI analysis while only poor correlation was found between manual Simpson and manual WMT (Table 2). Conclusion(s): Automatic Simpson and Wall Motion Tracking are two different fully automated methods which can be used for left ventricular function assessment. AI reproducibility is high for both methods, higher for WMT. WMT method is also less time consuming and improves reproducibility of manual tracing of endocardial borderd analysis.

6.
Journal of Chemical Education ; 2020.
Article in English | Scopus | ID: covidwho-1434055

ABSTRACT

This paper is an addition to the article "Stereochemistry Game: Creating and Playing a Fun Board Game To Engage Students in Reviewing Stereochemistry Concepts"by JoséNunes da Silva Júnior, Daniel Esdras de Andrade Uchoa, Mary Anne Sousa Lima, and André Jalles Monteiro. With the addition, the title of the new work is "Stereochemistry Game: Creating and Playing a Fun Board Game to Engage Students in Reviewing Stereochemistry Concepts - The Online Version", and the following authors have been added: Antonio José Melo Leite Junior, Jean-Yves Winum, and Andrea Basso. The educational "Stereochemistry Game"has been extensively used face-to-face in the classroom since 2017 as an activity at the Federal University of Ceará (Brazil) and has been cited by many authors worldwide. However, all classes started occurring remotely from March 2020 due to the disruption of face-to-face activities caused by the COVID-19 pandemic. Therefore, professors and students could not use the game. This scenario motivated us to develop an online version of the game that allows students to play the game remotelyin the safety of their houses.We present this online version below. © American Chemical Society and Division of Chemical Education, Inc.

7.
Education for Chemical Engineers ; 36:90-99, 2021.
Article in English | Scopus | ID: covidwho-1228020

ABSTRACT

This paper provides information about a hybrid multilingual (English, Portuguese, French, and Italian) game developed as an alternative learning method to the traditional problem-solving exercises model. The game comprises a physical board and a free-of-charge application for undergraduate students to review and reinforce concepts related to stereochemistry by answering questions, from a bank of 400 questions, in a ludic, competitive, and collaborative environment. Brazilian, French, and Italian undergraduate students played the game face-to-face before the disruption caused by the Covid-19 Pandemic and remotely during that. They also evaluated the game, and the quite positive results obtained from students’ self-assessment revealed that they felt the game contributed to their learning while playing. © 2021 Institution of Chemical Engineers

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