Mark Schuuring

Dr. Mark Schuuring

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2014 in International Journal of Cardiology
Verified
Journal Article
Closed access
ARAnnelieke C.M.J. van Riel
Annelieke C.M.J. van Riel
Mark SchuuringMark Schuuring
Mark Schuuring
IHIrene D. van Hessen
Irene D. van Hessen
AZAielko H. Zwinderman
Aielko H. Zwinderman
LCLuc Cozijnsen
Luc Cozijnsen
BBBerto J. Bouma
Berto J. Bouma

1 June 2013 in European Journal of Heart Failure
Verified
Journal Article
Closed access
PDF file
Mark SchuuringMark Schuuring
Mark Schuuring
JVJeroen C. Vis
Jeroen C. Vis
ADArie P.J. van Dijk
Arie P.J. van Dijk
JMJoost P. van Melle
Joost P. van Melle
HVHubert W. Vliegen
Hubert W. Vliegen
BBBerto J. Bouma
Berto J. Bouma
Aims: An endothelin-1 receptor blocker, shown to be effective in patients with pulmonary arterial hypertension, might decrease pulmonary vascular resistance to increase cardiac filling and consequently improve exercise capacity in Fontan patients. Methods and results: This was a prospective, multicentre randomized open label trial in Fontan patients. One group received bosentan for 6 months. The other group did not receive study medication for the first 3 months, followed by bosentan for 6 months. The primary endpoint was exercise capacity, and secondary endpoints were NT-proBNP level, cardiac output, SF-36 (Short Form-36) quality of life (QoL), and NYHA class. Forty-two adults (median age 29 (range 18–56) years, 52% male, 88% NYHA class I–II) from five tertiary referral centres participated in the study. Ten patients were on diuretics. Ten patients were not motivated to finish the study. Analysis of all 32 patients who finished the study at 6 months of treatment showed that mean peak V’O2 (24 vs. 25 mL/kg/min), median SQUASH score (6614 vs. 6390), median NT-proBNP (314 vs. 274 ng/L), and mental QoL (50 vs. 51) remained unchanged as compared with baseline (P = NS, for all). After treatment, NYHA class had improved in 6 (19%), was unchanged in 24 (75%), and declined in 2 (6%) patients. Subgroup analysis on age, ventricular morphology, type of Fontan circulation, or baseline NT-proBNP level did not reveal efficacy of bosentan. Six transient adverse effects were reported. Conclusion: An increased NT-proBNP level was present in the majority of Fontan patients. Six months of bosentan treatment was not beneficial. Trial registration: NTR1557

8 February 2021 in European Heart Journal - Digital Health
Verified
Journal Article
Open access
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MJMagnus T Jensen
Magnus T Jensen
RTRoderick W Treskes
Roderick W Treskes
ECEnrico G Caiani
Enrico G Caiani
RCRuben Casado-Arroyo
Ruben Casado-Arroyo
MCMartin R Cowie
Martin R Cowie
JLJoost Lumens
Joost Lumens
Commercially available health technologies such as smartphones and smartwatches, activity trackers and eHealth applications, commonly referred to as wearables, are increasingly available and used both in the leisure and healthcare sector for pulse and fitness/activity tracking. The aim of the Position Paper is to identify specific barriers and knowledge gaps for the use of wearables, in particular for heart rate (HR) and activity tracking, in clinical cardiovascular healthcare to support their implementation into clinical care. The widespread use of HR and fitness tracking technologies provides unparalleled opportunities for capturing physiological information from large populations in the community, which has previously only been available in patient populations in the setting of healthcare provision. The availability of low-cost and high-volume physiological data from the community also provides unique challenges. While the number of patients meeting healthcare providers with data from wearables is rapidly growing, there are at present no clinical guidelines on how and when to use data from wearables in primary and secondary prevention. Technical aspects of HR tracking especially during activity need to be further validated. How to analyse, translate, and interpret large datasets of information into clinically applicable recommendations needs further consideration. While the current users of wearable technologies tend to be young, healthy and in the higher sociodemographic strata, wearables could potentially have a greater utility in the elderly and higher-risk population. Wearables may also provide a benefit through increased health awareness, democratization of health data and patient engagement. Use of continuous monitoring may provide opportunities for detection of risk factors and disease development earlier in the causal pathway, which may provide novel applications in both prevention and clinical research. However, wearables may also have potential adverse consequences due to unintended modification of behaviour, uncertain use and interpretation of large physiological data, a possible increase in social inequality due to differential access and technological literacy, challenges with regulatory bodies and privacy issues. In the present position paper, current applications as well as specific barriers and gaps in knowledge are identified and discussed in order to support the implementation of wearable technologies from gadget-ology into clinical cardiology.

1 March 2013 in International Journal of Cardiology
Verified
Journal Article
Closed access
Mark SchuuringMark Schuuring
Mark Schuuring
BBBerto J. Bouma
Berto J. Bouma
RCRachael Cordina
Rachael Cordina
MGMichael A. Gatzoulis
Michael A. Gatzoulis
WBWerner Budts
Werner Budts
BMBarbara J.M. Mulder
Barbara J.M. Mulder

3 June 2011 in The International Journal of Cardiovascular Imaging
Verified
Journal Article
Open access
PDF file
Mark SchuuringMark Schuuring
Mark Schuuring
PBPauline P. M. Bolmers
Pauline P. M. Bolmers
BMBarbara J. M. Mulder
Barbara J. M. Mulder
RBRianne A. C. M. de Bruin-Bon
Rianne A. C. M. de Bruin-Bon
DKDave R. Koolbergen
Dave R. Koolbergen
BBBerto J. Bouma
Berto J. Bouma
Right ventricular function (RVF) is often selectively declined after coronary artery bypass graft surgery. In adult patients with congenital heart disease (CHD) the incidence and persistence of declined RVF after cardiac surgery is unknown. The current study aimed to describe RVF after cardiac surgery in these patients. Adult CHD patients operated between January 2008 and December 2009 in the Academic Medical Centre in Amsterdam were studied. Clinical characteristics, laboratory tests, surgical data and intensive care unit outcome were obtained from medical records. RVF was measured by trans-thoracic echocardiography (TTE) and expressed by tricuspid annular plane systolic excursion (TAPSE), tissue Doppler imaging (RV S’) and myocardial performance index (MPI) pre-operatively and direct, at intermediate and late follow up. Of a total of 185 operated, 86 patients (mean age 39 ± 13 years, 54% male) had echo data available. There was a significant fall in RVF after cardiac surgery. TAPSE and RV S’ were significantly higher and MPI was significantly lower pre-operatively compared to direct post-operative values (TAPSE 22 ± 5 versus 13 ± 3 mm (P < 0.01), RV S’ 11 ± 4 versus 8 ± 2 cm/s (P < 0.01) and MPI 0.36 ± 0.14 vs 0.62 ± 0.25; P < 0.01). There were no significant differences in left ventricular function pre-operatively compared to post-operative values. Right-sided surgery was performed in 33, left-sided surgery in 37 and both sided surgery in 16 patients. Decline in RVF was equal for those groups. Patients with severe decline in RVF, were patients who underwent tricuspid valve surgery. Decline in RVF was associated with post-operative myocardial creatine kinase level and maximal troponin T level. There was no association between decline in RVF and clinical outcome on the intensive care unit. 18 months post-operatively, most RVF parameters had recovered to pre-operative values, but TAPSE which remained still lower (P < 0.01). CHD patients have a decline in RVF directly after cardiac surgery, regardless the side of surgery. Although a gradual improvement was observed, complete recovery was not seen 18 months post-operatively.

23 February 2021 in Frontiers in Cardiovascular Medicine
Verified
Journal Article
Open access
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Mark SchuuringMark Schuuring
Mark Schuuring
IIIvana Išgum
Ivana Išgum
BCBernard Cosyns
Bernard Cosyns
SCSteven A. J. Chamuleau
Steven A. J. Chamuleau
BBBerto J. Bouma
Berto J. Bouma
Introduction: Echocardiography is widely used because of its portability, high temporal resolution, absence of radiation, and due to the low-costs. Over the past years, echocardiography has been recommended by the European Society of Cardiology in most cardiac diseases for both diagnostic and prognostic purposes. These recommendations have led to an increase in number of performed studies each requiring diligent processing and reviewing. The standard work pattern of image analysis including quantification and reporting has become highly resource intensive and time consuming. Existence of a large number of datasets with digital echocardiography images and recent advent of AI technology have created an environment in which artificial intelligence (AI) solutions can be developed successfully to automate current manual workflow.Methods and Results: We report on published AI solutions for echocardiography analysis on methods' performance, characteristics of the used data and imaged population. Contemporary AI applications are available for automation and advent in the image acquisition, analysis, reporting and education. AI solutions have been developed for both diagnostic and predictive tasks in echocardiography. Left ventricular function assessment and quantification have been most often performed. Performance of automated image view classification, image quality enhancement, cardiac function assessment, disease classification, and cardiac event prediction was overall good but most studies lack external evaluation.Conclusion: Contemporary AI solutions for image acquisition, analysis, reporting and education are developed for relevant tasks with promising performance. In the future major benefit of AI in echocardiography is expected from improvements in automated analysis and interpretation to reduce workload and improve clinical outcome. Some of the challenges have yet to be overcome, however, none of them are insurmountable.