15 research outputs found

    Sacubitril/Valsartan in adult congenital heart disease patients with chronic heart failure − a single centre case series and call for an international registry

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    Background: An improvement in life expectancy in patients suffering from adult congenital heart disease (ACHD) has corresponded with a rise in heart failure incidence within this group. An area that has not been addressed in ACHD heart failure guidelines has been the use of combined inhibition of angiotensin receptor-neprolysin pathways. This case series sought to demonstrate tolerability and 6-month outcome measures of sacubitril/valsartan use in ACHD patients with a severely impaired systemic ventricle. Methods: A prospective cohort analysis of ACHD patients between December 2016 and September 2017 with severe systemic ventricular systolic dysfunction, New York Heart Association (NYHA) class II–III symptoms and eligible for commencement on a sacubitril/valsartan regime was undertaken. Results: Five [5] consecutive patients were included in this cohort review, 80% male, mean age 41.8 (±19) years and mean systemic ventricular ejection fraction 27% (±3.6%). Two [2] patients with pre-existing D-TGA and atrial baffle repair, one patient with Tetralogy of Fallot repair and pulmonary valve replacement (PVR), one patient with left atrial isomerism and partial atrioventricular (AV) canal defect repair and mitral valve replacement (MVR) and the last patient had biventricular repair for pulmonary atresia with MVR and PVR. Forty per cent (40%) of patients had a systemic right ventricle. All patients had NYHA functional class of ≥II, were on optimal tolerated doses ACE-I or ARB prior to sacubitril/valsartan combination. Six [6] months post commencement of sacubitril/valsartan patients experienced a mean improvement of one functional class. Conclusions: Our experience suggests that sacubitril/valsartan therapy is well tolerated in ACHD heart failure patients and is associated with improvement in functional class

    Medical Image Deidentification, Cleaning and Compression Using Pylogik

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    Leveraging medical record information in the era of big data and machine learning comes with the caveat that data must be cleaned and de-identified. Facilitating data sharing and harmonization for multi-center collaborations are particularly difficult when protected health information (PHI) is contained or embedded in image meta-data. We propose a novel library in the Python framework, called PyLogik, to help alleviate this issue for ultrasound images, which are particularly challenging because of the frequent inclusion of PHI directly on the images. PyLogik processes the image volumes through a series of text detection/extraction, filtering, thresholding, morphological and contour comparisons. This methodology de-identifies the images, reduces file sizes, and prepares image volumes for applications in deep learning and data sharing. To evaluate its effectiveness in processing ultrasound data, a random sample of 50 cardiac ultrasounds (echocardiograms) were processed through PyLogik, and the outputs were compared with the manual segmentations by an expert user. The Dice coefficient of the two approaches achieved an average value of 0.976. Next, an investigation was conducted to ascertain the degree of information compression achieved using the algorithm. Resultant data was found to be on average ~72% smaller after processing by PyLogik. Our results suggest that PyLogik is a viable methodology for data cleaning and de-identification, determining ROI, and file compression which will facilitate efficient storage, use, and dissemination of ultrasound data. Variants of the pipeline have also been created for use with other medical imaging data types.Comment: updates needed to manuscrip

    A challenging case of chronic diarrhoea

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    Comparison of 3D echocardiographic-derived indices using fully automatic left ventricular endocardial tracing (heart model) and semiautomatic tracing (3DQ-ADV)

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    Aims: The availability of a true 3D dataset provides an opportunity for automation of left ventricular (LV) and left atrial (LA) measurements. Although manual and automated measurements of 3D volumes are known to correlate, the variance is an important parameter for the individual patient. The reasons for discrepancies remain unexplained. We hence aim to explain the disagreement between automated and manual LV and LA volumes. Methods and Results: A total of 355 patients underwent standard clinical echo, with offline analysis in both fully- (Heart Model, Philips) and semiautomated (3DQ-Adv, Philips) assessment of routine indices of LV and LA function and shape. Each image was classified according to quality using a 4-point scale as well as the American Society for Echocardiography guidelines for appropriate use of contrast. Bland-Altman plots were used to assess agreement, and t tests were used to assess differences in agreement. Predictors of volume discrepancy were sought with linear regression. Measures of LV and LA volumes were greater with automatic than semiautomatic assessment. The difference in left ventricular end-diastolic volume was dependent on the number of regional wall-motion abnormalities (RWMA) (beta = 0.59, P < .04) and image quality (beta = 19.71, P = .02). RWMA predicted the difference in left ventricular end-systolic volume (beta = 0.83, P < .01) and left atrial end-systolic volume (beta = -1.01 P < .01). Conclusion: LV and LA volumes were higher with automatic than semiautomatic assessment. Image quality and RWMA may contribute to this discrepancy. These limitations need to be addressed before fully automatic assessment of 3D echocardiograms can be used in the clinic

    The prevalence of doctor-diagnosed angina in 4314 older adults in China and comparison with the Rose angina questionnaire: the 4 province study

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    Non-communicable disease is the leading cause of death globally and cardiovascular disease (CVD) is the major contributor [1]. China is the most populous country in the world and has been experiencing a progressive increase in CVD, with recent studies showing that 30% of the population in China has ≥3 risk factors for CVD [2]. This effect appears to be more pronounced in urban areas where a western lifestyle has been adopted

    Effect of Exogenous Melatonin Administration in Critically Ill Patients on Delirium and Sleep: A Randomized Controlled Trial

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    Introduction. Sleep deprivation is a contributor for delirium in intensive care. Melatonin has been proposed as a pharmacological strategy to improve sleep, but studies have shown that the increase in plasma levels of melatonin do not correlate to a beneficial clinical effect; in addition, melatonin’s short half-life may be a major limitation to achieving therapeutic levels. This study applies a previously published novel regimen of melatonin with proven sustained levels of melatonin during a 12 h period. In this study, the aim is to determine if such melatonin dosing positively influences on the sleep architecture and the incidence of delirium in intensive care. Methods. Single center, randomized control trial with consecutive recruitment over 5 years. Medical and surgical patients were in a recovery phase, all weaning from mechanical ventilation. Randomized allocation to placebo or enteral melatonin, using a previously described regimen (loading dose of 3 mg at 21 h, followed by 0.5 mg hourly maintenance dose until 03am through a nasogastric tube). Sleep recordings were performed using polysomnogram at baseline (prior to intervention) and the third night on melatonin (postintervention recording). Delirium was assessed using the Richmond Agitation and the Confusion Assessment Method Scales. Environmental light and noise levels were recorded using a luxmeter and sound meter. Results. 80 patients were screened, but 33 were recruited. Sleep studies showed no statistical differences on arousal index or length of sleep. Baseline delirium scores showed no difference between groups when compared to postintervention scores. RASS scores were 1 in both groups at baseline, compared to zero (drug group) and 0.5 (placebo group) posttreatment. CAM scores were zero (drug group) and 1 (placebo group) at baseline, compared to zero (in both groups) postintervention. Conclusion. High levels of plasma melatonin during the overnight period of intensive care cohort patients did not improve sleep nor decreased the prevalence of delirium. This trial is registered with Anzctr.org.au/ACTRN12620000661976.aspx

    Effect of Exogenous Melatonin Administration in Critically Ill Patients on Delirium and Sleep: A Randomized Controlled Trial

    No full text
    Introduction. Sleep deprivation is a contributor for delirium in intensive care. Melatonin has been proposed as a pharmacological strategy to improve sleep, but studies have shown that the increase in plasma levels of melatonin do not correlate to a beneficial clinical effect; in addition, melatonin’s short half-life may be a major limitation to achieving therapeutic levels. This study applies a previously published novel regimen of melatonin with proven sustained levels of melatonin during a 12 h period. In this study, the aim is to determine if such melatonin dosing positively influences on the sleep architecture and the incidence of delirium in intensive care. Methods. Single center, randomized control trial with consecutive recruitment over 5 years. Medical and surgical patients were in a recovery phase, all weaning from mechanical ventilation. Randomized allocation to placebo or enteral melatonin, using a previously described regimen (loading dose of 3 mg at 21 h, followed by 0.5 mg hourly maintenance dose until 03am through a nasogastric tube). Sleep recordings were performed using polysomnogram at baseline (prior to intervention) and the third night on melatonin (postintervention recording). Delirium was assessed using the Richmond Agitation and the Confusion Assessment Method Scales. Environmental light and noise levels were recorded using a luxmeter and sound meter. Results. 80 patients were screened, but 33 were recruited. Sleep studies showed no statistical differences on arousal index or length of sleep. Baseline delirium scores showed no difference between groups when compared to postintervention scores. RASS scores were 1 in both groups at baseline, compared to zero (drug group) and 0.5 (placebo group) posttreatment. CAM scores were zero (drug group) and 1 (placebo group) at baseline, compared to zero (in both groups) postintervention. Conclusion. High levels of plasma melatonin during the overnight period of intensive care cohort patients did not improve sleep nor decreased the prevalence of delirium. This trial is registered with Anzctr.org.au/ACTRN12620000661976.aspx
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