Genetics of a tropical heart condition

2016 ◽  
Keyword(s):  
Heart Condition

The Usefulness of Combined Assessment of E/e′ Ratio and Transmitral Flow Pattern to Interpret Heart Condition

2014 ◽  
Vol 20 (10) ◽  
pp. S169-S170
Author(s):  
Masayoshi Oikawa ◽  
Atsushi Kobayashi ◽  
Hiroyuki Yamauchi ◽  
Satoshi Suzuki ◽  
Akiomi Yoshihisa ◽  
...  
Keyword(s):  
Flow Pattern ◽  
Transmitral Flow ◽  
Heart Condition

ARRHYTHMIA DIAGNOSIS FROM ECG SIGNAL ANALYSIS USING STATISTICAL FEATURES AND NOVEL CLASSIFICATION METHOD

2021 ◽  
pp. 2150025
Author(s):  
SAURAV MANDAL ◽  
NABANITA SINHA
Keyword(s):  
Cardiac Arrhythmia ◽  
Present Model ◽  
Fluctuation Analysis ◽  
Statistical Features ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Ecg Signals ◽  
Proposed Model ◽  
Electrocardiogram Ecg ◽  
Detrended Fluctuation ◽  
Heart Condition

This study aims to present an efficient model for autodetection of cardiac arrhythmia by the diagnosis of self-affinity and identification of governing processes of a number of Electrocardiogram (ECG) signals taken from MIT-BIH database. In this work, the proposed model includes statistical methods to find the diagnosis pattern for detecting cardiac abnormalities which is useful for the computer aided system for arrhythmia detection. First, the Rescale Range (R/S) analysis has been employed for ECG signals to understand the scaling property of ECG signals. The value of Hurst exponent identifies the presence of abnormality in ECG signals taken for consideration with 92.58% accuracy. In this study, Higuchi method which deals with unifractality or monofractality of signals has been applied and it is found that unifractality is sufficient to detect arrhythmia with 91.61% accuracy. The Multifractal Detrended Fluctuation Analysis (MFDFA) has been used over the present signals to identify and confirm the multifractality. The nature of multifractality is different for arrhythmia patients and normal heart condition. The multifractal analysis is useful to detect abnormalities with 93.75% accuracy. Finally, the autocorrelation analysis has been used to identify the prevalent governing process in the present arrhythmic ECG signals and study confirms that all the signals are governed by stationary autoregressive methods of certain orders. In order to increase the overall efficiency, this present model deals with analyzing all the statistical features extracted from different statistical techniques for a large number of ECG signals of normal and abnormal heart condition. Finally, the result of present analysis altogether possibly indicates that the proposed model is efficient to detect cardiac arrhythmia with 99.3% accuracy.

Navigating the job market with a congenital heart condition

2021 ◽  
Vol 16 (3) ◽  
pp. 1-2
Author(s):  
Hannah Phillips
Keyword(s):  
Congenital Heart ◽  
Job Market ◽  
The World ◽  
Heart Condition

In this month's patient story, Hannah Phillips contemplates the difficulties of entering the world of work with a congenital heart condition and outlines how treatment teams can better prepare patients for this process.

Abstract 16365: A New Left Atrial Assist Device for Heart Failure With Preserved Ejection Fraction: In Vitro Test

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Kiyotaka FUKAMACHI ◽  
Barry D Kuban ◽  
Christine Flick ◽  
Jamshid Karimov ◽  
David Horvath ◽  
...  
Keyword(s):  
Heart Failure ◽  
Aortic Valve ◽  
Ejection Fraction ◽  
Left Atrial ◽  
In Vitro Test ◽  
Preserved Ejection Fraction ◽  
Normal Heart ◽  
Assist Device ◽  
Heart Condition

Introduction: The effective treatment for patients with heart failure with preserved ejection fraction is not yet established. We previously reported the concept of the left atrial assist device (LAAD) that pumps blood from the left atrium to the left ventricle to treat diastolic heart failure (DHF). We have now developed the first working prototype of the LAAD that can be implanted at the mitral valve level (Fig. 1). The purpose of the study was to demonstrate that the LAAD can reduce left atrial pressure (LAP) and increase cardiac output (CO) while maintaining arterial pulsatility and normal aortic valve function in the in vitro DHF model. Methods: The LAAD was tested at three pump speeds (3,600, 4,400 and 5,200 rpm) on a pulsatile mock loop with a pneumatic pump that simulated the normal function of the native ventricle, as well as mild, moderate, and severe DHF conditions, by adjusting the diastolic drive pressure to limit diastolic filling of the ventricle. Results: Without the LAAD, CO and aortic pressure (AoP) decreased dramatically: from 3.9 L/min and 102 mm Hg at normal heart condition to 1.0 L/min and 33 mm Hg at severe DHF, respectively (Fig. 2A, 2B). With LAAD support, both CO and AoP recovered to normal heart values at 4,200 rpm and surpassed normal heart values at 5,200 rpm (Fig. 2A, 2B). With LAAD support, LAP recovered to that of the normal heart condition at 5,200 rpm (Fig. 2C). The pulsatility was maintained (Fig. 2D), as all the CO went through the aortic valve. Conclusions: These initial in vitro results support our hypothesis that use of the LAAD increases CO and AoP and decreases LAP under DHF conditions, while maintaining arterial pulsatility and full function of the aortic valve.

Letter to Joyce Coles

2016 ◽  
pp. 385-386
Author(s):  
Donald W. Winnicott
Keyword(s):  
New York ◽  
Slow Progress ◽  
Heart Condition

Winnicott writes from Lenox Hill Hospital in New York to his long-standing secretary Joyce Coles, with more hope of his continuing slow progress of recovery from a serious heart condition.

Letter to Karl and Sheila Britton

2016 ◽  
pp. 383-384
Author(s):  
Donald W. Winnicott
Keyword(s):  
New York ◽  
Heart Condition

Winnicott’s letter to Karl and Sheila Britton from Lenox Hill Hospital in New York on his deteriorating heart condition.

P3347Pre-hospital time and 30-day mortality in patients with presumed heart conditions or dyspnea: a registry-based cohort study of patients requiring a highest priority emergency medical response

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
E H A Mills ◽  
K Aasbjerg ◽  
S M Hansen ◽  
K B Ringgren ◽  
M Dahl ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Hospital Admissions ◽  
Patient Characteristics ◽  
Adverse Outcomes ◽  
Charlson Comorbidity Index Score ◽  
Medical Conditions ◽  
Medical Response ◽  
Ambulance Dispatch ◽  
Heart Condition

Abstract Introduction Centralization of emergency care is expected to increase average pre-hospital time for patients, leading to concerns about possible adverse outcomes for patients. Prior studies have found increased mortality for patients with prolonged transport following acute myocardial infarction. Purpose Examine the association between total pre-hospital time (from dispatch to hospital arrival) and mortality for patients, depending on the condition presumed by the emergency dispatcher (presumed heart condition, dyspnea or non-specific medial conditions). Methods Pre-hospital registry data from a Danish region from 2006–2012 was used. This contained information on ambulance dispatch priority, ambulance times, and patient condition, as well if procedures consistent with cardiac arrest (CPR or shock) were performed. We included patients with both highest priority dispatch and transport to the hospital. Linkage to nationwide registries of hospital admissions, comorbidities and mortality was performed. Logistic regression was used for analysis. Results 95% of total pre-hospital times were below 84 minutes. 30-day mortality was highest among patients with dyspnea (36.6%). Compared to pre-hospital times of 0–30 min, odds ratios of 30-day mortality for times >60 min were: for presumed heart conditions 0.54 [95% CI 0.38–0.77] (p<0.001), for dyspnea 0.98 [95% CI 0.65–1.47] and for other medical conditions 1.14 [95% CI 0.98–1.32] Patient characteristics and outcomes according to the presumed aetiology of the priority 1 emergency dispatch Presumed heart condition Dyspnea Other medical conditions N 1836 1101 11538 Age, median {IQR} 66.4 {55.3, 76.8} 70.5 {56.8, 80.8} 61.5 {40.3, 75.8} Male, n (%) 1194 (65.0) 585 (53.1) 6172 (53.5) 10-year Charlson comorbidity index score ≥3, n (%) 744 (40.5) 613 (55.7) 4311 (37.6) Response time, median {IQR} 9 {5, 13} 9 {5, 13} 8 {5, 13} Total pre-hospital time, median {IQR} 49{37,61} 45{34, 58} 46{34,58} Cardiac arrest procedures during transport, n (%) 266 (14.5) 133 (12.1) 844 (7.3) Cardiovascular diagnosis (DI00-DI99), n (%) 962 (52.4) 282 (25.6) 3285 (28.5) Respiratory diagnosis (DJ00-DJ99), n (%) 82 (4.5) 430 (39.1) 1036 (9.0) 1-day mortality, n (%) 289 (15.7) 225 (20.4) 1311 (11.4) 30-day mortality, n (%) 402 (21.9) 403 (36.6) 2264 (19.6) Logistic regression, 30-day mortality Conclusion No overall association between total pre-hospital time and mortality, however for presumed heart conditions longer times may improve survival. Acknowledgement/Funding Program for clinical research infrastructure (PROCRIN) established by the Lundbeck and Novo Nordisk foundations & The Danish Heart Foundation

scholarly journals Perceiving one’s heart condition to be cured following hospitalization for acute coronary syndromes: Implications for patient-provider communication

2016 ◽  
Vol 99 (3) ◽  
pp. 455-461 ◽  
Author(s):  
Molly E. Waring ◽  
David D. McManus ◽  
Stephenie C. Lemon ◽  
Joel M. Gore ◽  
Milena D. Anatchkova ◽  
...  
Keyword(s):  
Acute Coronary Syndromes ◽  
Provider Communication ◽  
Coronary Syndromes ◽  
Patient Provider Communication ◽  
Heart Condition
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