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  1. Article ; Online: Transcatheter Mitral Valve Replacement: Treatment Planning With Computed Tomography.

    Challa, Apurva Bhavana / Negm, Ahmed S / Mahayni, Abdulah Amer / Wamil, Malgorzata / Williamson, Eric / Guerrero, Mayra / Weishaar, Paul / Collins, Jeremy D

    Seminars in roentgenology

    2024  Volume 59, Issue 1, Page(s) 67–75

    MeSH term(s) Humans ; Mitral Valve/diagnostic imaging ; Mitral Valve/surgery ; Tomography, X-Ray Computed ; Risk Factors ; Treatment Outcome
    Language English
    Publishing date 2024-01-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80310-8
    ISSN 1558-4658 ; 0037-198X
    ISSN (online) 1558-4658
    ISSN 0037-198X
    DOI 10.1053/j.ro.2023.11.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Blood pressure meta-analysis highlights an implementation gap - Authors' reply.

    Rahimi, Kazem / McManus, Richard / Wamil, Malgorzata / Chalmers, John / Canoy, Dexter

    Lancet (London, England)

    2022  Volume 399, Issue 10333, Page(s) 1380

    MeSH term(s) Blood Pressure ; Humans ; Meta-Analysis as Topic ; Vital Signs
    Language English
    Publishing date 2022-03-29
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(22)00114-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Multi-modality cardiac imaging in the management of diabetic heart disease.

    Wamil, Malgorzata / Goncalves, Marcos / Rutherford, Alexander / Borlotti, Alessandra / Pellikka, Patricia Ann

    Frontiers in cardiovascular medicine

    2022  Volume 9, Page(s) 1043711

    Abstract: Diabetic heart disease is a major healthcare problem. Patients with diabetes show an excess of death from cardiovascular causes, twice as high as the general population and those with diabetes type 1 and longer duration of the disease present with more ... ...

    Abstract Diabetic heart disease is a major healthcare problem. Patients with diabetes show an excess of death from cardiovascular causes, twice as high as the general population and those with diabetes type 1 and longer duration of the disease present with more severe cardiovascular complications. Premature coronary artery disease and heart failure are leading causes of morbidity and reduced life expectancy. Multimodality cardiac imaging, including echocardiography, cardiac computed tomography, nuclear medicine, and cardiac magnetic resonance play crucial role in the diagnosis and management of different pathologies included in the definition of diabetic heart disease. In this review we summarise the utility of multi-modality cardiac imaging in characterising ischaemic and non-ischaemic causes of diabetic heart disease and give an overview of the current clinical practice. We also describe emerging imaging techniques enabling early detection of coronary artery inflammation and the non-invasive characterisation of the atherosclerotic plaque disease. Furthermore, we discuss the role of MRI-derived techniques in studying altered myocardial metabolism linking diabetes with the development of diabetic cardiomyopathy. Finally, we discuss recent data regarding the use of artificial intelligence applied to large imaging databases and how those efforts can be utilised in the future in screening of patients with diabetes for early signs of disease.
    Language English
    Publishing date 2022-11-03
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2781496-8
    ISSN 2297-055X
    ISSN 2297-055X
    DOI 10.3389/fcvm.2022.1043711
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  4. Article ; Online: Increased Risk of Incident Heart Failure and Death Is Associated With Insulin Resistance in People With Newly Diagnosed Type 2 Diabetes: UKPDS 89.

    Wamil, Malgorzata / Coleman, Ruth L / Adler, Amanda I / McMurray, John J V / Holman, Rury R

    Diabetes care

    2021  Volume 44, Issue 8, Page(s) 1877–1884

    Abstract: Objective: Insulin resistance (IR) may mediate heart failure (HF) development. We examined whether IR in people with newly diagnosed type 2 diabetes (T2D) increased their risk of a composite outcome of HF or death or of HF alone.: Research design and ... ...

    Abstract Objective: Insulin resistance (IR) may mediate heart failure (HF) development. We examined whether IR in people with newly diagnosed type 2 diabetes (T2D) increased their risk of a composite outcome of HF or death or of HF alone.
    Research design and methods: Insulin resistance (HOMA2-IR) values for UKPDS participants were derived from paired fasting plasma glucose (FPG) and insulin measures. Kaplan-Meier survival curves and multivariable survival models were used to evaluate associations between HOMA2-IR and HF/death or HF alone. We adjusted for potential confounders by including variables with univariate associations (
    Results: Of 5,102 UKPDS participants with newly diagnosed T2D, 4,344 had HOMA2-IR measurements. At enrollment, mean (SD) age was 52.5 (8.7) years, with HbA
    Conclusions: Patients with newly diagnosed T2D and insulin resistance were more likely to develop HF or die than those more sensitive to insulin.
    MeSH term(s) Aged ; Blood Glucose ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/epidemiology ; Heart Failure/epidemiology ; Humans ; Insulin ; Insulin Resistance ; Middle Aged ; Risk Factors
    Chemical Substances Blood Glucose ; Insulin
    Language English
    Publishing date 2021-06-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 441231-x
    ISSN 1935-5548 ; 0149-5992
    ISSN (online) 1935-5548
    ISSN 0149-5992
    DOI 10.2337/dc21-0429
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

    Wamil, Malgorzata / Hassaine, Abdelaali / Rao, Shishir / Li, Yikuan / Mamouei, Mohammad / Canoy, Dexter / Nazarzadeh, Milad / Bidel, Zeinab / Copland, Emma / Rahimi, Kazem / Salimi-Khorshidi, Gholamreza

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 11478

    Abstract: Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbidities. ... ...

    Abstract Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbidities. Data from 9967 multimorbid patients with a new diagnosis of diabetes were extracted from Clinical Practice Research Datalink. First, using BEHRT (a transformer-based deep learning architecture), the embeddings corresponding to diabetes were learned. Next, topological data analysis (TDA) was carried out to test how different areas in high-dimensional manifold correspond to different risk profiles. The following endpoints were considered when profiling risk trajectories: major adverse cardiovascular events (MACE), coronary artery disease (CAD), stroke (CVA), heart failure (HF), renal failure (RF), diabetic neuropathy, peripheral arterial disease, reduced visual acuity and all-cause mortality. Kaplan Meier curves were plotted for each derived phenotype. Finally, we tested the performance of an established risk prediction model (QRISK) by adding TDA-derived features. We identified four subgroups of patients with diabetes and divergent comorbidity patterns differing in their risk of future cardiovascular, renal, and other microvascular outcomes. Phenotype 1 (young with chronic inflammatory conditions) and phenotype 2 (young with CAD) included relatively younger patients with diabetes compared to phenotypes 3 (older with hypertension and renal disease) and 4 (older with previous CVA), and those subgroups had a higher frequency of pre-existing cardio-renal diseases. Within ten years of follow-up, 2592 patients (26%) experienced MACE, 2515 patients (25%) died, and 2020 patients (20%) suffered RF. QRISK3 model's AUC was augmented from 67.26% (CI 67.25-67.28%) to 67.67% (CI 67.66-67.69%) by adding specific TDA-derived phenotype and the distances to both extremities of the TDA graph improving its performance in the prediction of CV outcomes. We confirmed the importance of accounting for multimorbidity when risk stratifying heterogenous cohort of patients with new diagnosis of diabetes. Our unsupervised machine learning method improved the prediction of clinical outcomes.
    MeSH term(s) Humans ; Diabetes Mellitus/epidemiology ; Comorbidity ; Data Analysis ; Cardiovascular Diseases/epidemiology ; Risk Assessment ; Kidney Diseases/epidemiology ; Unsupervised Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Phenotype
    Language English
    Publishing date 2023-07-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-38251-1
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  6. Article: The modern role of transoesophageal echocardiography in the assessment of valvular pathologies.

    Wamil, Malgorzata / Bull, Sacha / Newton, James

    Echo research and practice

    2017  Volume 4, Issue 1, Page(s) R1–R13

    Abstract: Despite significant advancements in the field of cardiovascular imaging, transoesophageal echocardiography remains the key imaging modality in the management of valvular pathologies. This paper provides echocardiographers with an overview of the modern ... ...

    Abstract Despite significant advancements in the field of cardiovascular imaging, transoesophageal echocardiography remains the key imaging modality in the management of valvular pathologies. This paper provides echocardiographers with an overview of the modern role of TOE in the diagnosis and management of valvular disease. We describe how the introduction of 3D techniques has changed the detection and grading of valvular pathologies and concentrate on its role as a monitoring tool in interventional cardiology. In addition, we focus on the echocardiographic and Doppler techniques used in the assessment of prosthetic valves and provide guidance for the evaluation of prosthetic valves. Finally, we summarise quantitative methods used for the assessment of valvular stenosis and regurgitation and highlight the key areas where echocardiography remains superior over other novel imaging modalities.
    Language English
    Publishing date 2017-01-17
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2777997-X
    ISSN 2055-0464
    ISSN 2055-0464
    DOI 10.1530/ERP-16-0034
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  7. Article ; Online: Transoesophageal echocardiography: what the general cardiologist needs to know.

    Wamil, Malgorzata / Newton, James D / Rana, Bushra S / Bull, Sacha

    Heart (British Cardiac Society)

    2017  Volume 103, Issue 8, Page(s) 629–640

    Language English
    Publishing date 2017-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 1303417-0
    ISSN 1468-201X ; 1355-6037
    ISSN (online) 1468-201X
    ISSN 1355-6037
    DOI 10.1136/heartjnl-2015-308164
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  8. Article: Cardiac abnormalities in Long COVID 1-year post-SARS-CoV-2 infection.

    Roca-Fernandez, Adriana / Wamil, Malgorzata / Telford, Alison / Carapella, Valentina / Borlotti, Alessandra / Monteiro, David / Thomaides-Brears, Helena / Kelly, Matt / Dennis, Andrea / Banerjee, Rajarshi / Robson, Matthew / Brady, Michael / Lip, Gregory Y H / Bull, Sacha / Heightman, Melissa / Ntusi, Ntobeko / Banerjee, Amitava

    Open heart

    2023  Volume 10, Issue 1

    Abstract: Background: Long COVID is associated with multiple symptoms and impairment in multiple organs. Cross-sectional studies have reported cardiac impairment to varying degrees by varying methodologies. Using cardiac MR (CMR), we investigated a 12-month ... ...

    Abstract Background: Long COVID is associated with multiple symptoms and impairment in multiple organs. Cross-sectional studies have reported cardiac impairment to varying degrees by varying methodologies. Using cardiac MR (CMR), we investigated a 12-month trajectory of abnormalities in Long COVID.
    Objectives: To investigate cardiac abnormalities 1-year post-SARS-CoV-2 infection.
    Methods: 534 individuals with Long COVID underwent CMR (T1/T2 mapping, cardiac mass, volumes, function and strain) and multiorgan MRI at 6 months (IQR 4.3-7.3) since first post-COVID-19 symptoms. 330 were rescanned at 12.6 (IQR 11.4-14.2) months if abnormal baseline findings were reported. Symptoms, questionnaires and blood samples were collected at both time points. CMR abnormalities were defined as ≥1 of low left or right ventricular ejection fraction (LVEF), high left or right ventricular end diastolic volume, low 3D left ventricular global longitudinal strain (GLS), or elevated native T1 in ≥3 cardiac segments. Significant change over time was reported by comparison with 92 healthy controls.
    Results: Technical success of multiorgan and CMR assessment in non-acute settings was 99.1% and 99.6% at baseline, and 98.3% and 98.8% at follow-up. Of individuals with Long COVID, 102/534 (19%) had CMR abnormalities at baseline; 71/102 had complete paired data at 12 months. Of those, 58% presented with ongoing CMR abnormalities at 12 months. High sensitivity cardiac troponin I and B-type natriuretic peptide were not predictive of CMR findings, symptoms or clinical outcomes. At baseline, low LVEF was associated with persistent CMR abnormality, abnormal GLS associated with low quality of life and abnormal T1 in at least three segments was associated with better clinical outcomes at 12 months.
    Conclusion: CMR abnormalities (left entricular or right ventricular dysfunction/dilatation and/or abnormal T1mapping), occurred in one in five individuals with Long COVID at 6 months, persisting in over half of those at 12 months. Cardiac-related blood biomarkers could not identify CMR abnormalities in Long COVID.
    Trial registration number: NCT04369807.
    MeSH term(s) Humans ; Stroke Volume ; COVID-19 ; Post-Acute COVID-19 Syndrome ; Cross-Sectional Studies ; Quality of Life ; Predictive Value of Tests ; SARS-CoV-2 ; Ventricular Function, Right
    Language English
    Publishing date 2023-02-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2747269-3
    ISSN 2053-3624
    ISSN 2053-3624
    DOI 10.1136/openhrt-2022-002241
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  9. Article ; Online: Predicting heart failure events in patients with coronary heart disease and impaired glucose tolerance: Insights from the Acarbose Cardiovascular Evaluation (ACE) trial.

    Wamil, Malgorzata / McMurray, John J V / Scott, Charles A B / Coleman, Ruth L / Sun, Yihong / Standl, Eberhard / Rydén, Lars / Holman, Rury R

    Diabetes research and clinical practice

    2020  Volume 170, Page(s) 108488

    Abstract: Aims: Heart failure is a fatal complication of type 2 diabetes but little is known about its incidence in people with impaired glucose tolerance (IGT). We used Acarbose Cardiovascular Evaluation (ACE) trial data to identify predictors of hospitalisation ...

    Abstract Aims: Heart failure is a fatal complication of type 2 diabetes but little is known about its incidence in people with impaired glucose tolerance (IGT). We used Acarbose Cardiovascular Evaluation (ACE) trial data to identify predictors of hospitalisation for heart failure (hHF) or cardiovascular (CV) death in patients with coronary heart disease (CHD) and IGT randomised to acarbose or placebo.
    Methods: Independent hHF/CV death risk factors were determined using Cox proportional hazards models, with participants censored at first hHF event, CV death, or end of follow-up.
    Results: During median 5-year follow-up, the composite outcome of hHF/CV death occurred in 393 (6.0%) participants. Significant hHF/CV death multivariate predictors were higher age and plasma creatinine, and prior heart failure (HF), myocardial infarction (MI), atrial fibrillation (AF) and stroke. Acarbose, compared with placebo, did not reduce hHF/CV death (hazard ratio [HR] 0.89, 95% CI 0.64-1.24, P = 0.48) or hHF (HR 0.90, 95% CI 0.74-1.10, P = 0.32).
    Conclusions: Patients with CHD and IGT at greater risk of hHF/CV death were older with higher plasma creatinine, prior HF, MI, AF or stroke. Addition of acarbose to optimised CV therapy to reduce post-prandial glucose excursions did not reduce the risk of hHF/CV death or hHF.
    Clinical trial registration: ClinicalTrials.gov, number NCT00829660, and the International Standard Randomised Controlled Trial Number registry, number ISRCTN91899513.
    MeSH term(s) Acarbose/therapeutic use ; Aged ; Coronary Disease/epidemiology ; Coronary Disease/mortality ; Creatinine/blood ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/drug therapy ; Double-Blind Method ; Female ; Glucose Intolerance/epidemiology ; Glycoside Hydrolase Inhibitors/therapeutic use ; Heart Failure/epidemiology ; Heart Failure/mortality ; Humans ; Incidence ; Male ; Middle Aged ; Myocardial Infarction/epidemiology ; Myocardial Infarction/mortality ; Proportional Hazards Models ; Risk Factors ; Treatment Outcome
    Chemical Substances Glycoside Hydrolase Inhibitors ; Creatinine (AYI8EX34EU) ; Acarbose (T58MSI464G)
    Language English
    Publishing date 2020-10-06
    Publishing country Ireland
    Document type Journal Article ; Multicenter Study ; Randomized Controlled Trial
    ZDB-ID 632523-3
    ISSN 1872-8227 ; 0168-8227
    ISSN (online) 1872-8227
    ISSN 0168-8227
    DOI 10.1016/j.diabres.2020.108488
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  10. Article ; Online: Multiorgan impairment in low-risk individuals with post-COVID-19 syndrome: a prospective, community-based study.

    Dennis, Andrea / Wamil, Malgorzata / Alberts, Johann / Oben, Jude / Cuthbertson, Daniel J / Wootton, Dan / Crooks, Michael / Gabbay, Mark / Brady, Michael / Hishmeh, Lyth / Attree, Emily / Heightman, Melissa / Banerjee, Rajarshi / Banerjee, Amitava

    BMJ open

    2021  Volume 11, Issue 3, Page(s) e048391

    Abstract: Objective: To assess medium-term organ impairment in symptomatic individuals following recovery from acute SARS-CoV-2 infection.: Design: Baseline findings from a prospective, observational cohort study.: Setting: Community-based individuals from ... ...

    Abstract Objective: To assess medium-term organ impairment in symptomatic individuals following recovery from acute SARS-CoV-2 infection.
    Design: Baseline findings from a prospective, observational cohort study.
    Setting: Community-based individuals from two UK centres between 1 April and 14 September 2020.
    Participants: Individuals ≥18 years with persistent symptoms following recovery from acute SARS-CoV-2 infection and age-matched healthy controls.
    Intervention: Assessment of symptoms by standardised questionnaires (EQ-5D-5L, Dyspnoea-12) and organ-specific metrics by biochemical assessment and quantitative MRI.
    Main outcome measures: Severe post-COVID-19 syndrome defined as ongoing respiratory symptoms and/or moderate functional impairment in activities of daily living; single-organ and multiorgan impairment (heart, lungs, kidneys, liver, pancreas, spleen) by consensus definitions at baseline investigation.
    Results: 201 individuals (mean age 45, range 21-71 years, 71% female, 88% white, 32% healthcare workers) completed the baseline assessment (median of 141 days following SARS-CoV-2 infection, IQR 110-162). The study population was at low risk of COVID-19 mortality (obesity 20%, hypertension 7%, type 2 diabetes 2%, heart disease 5%), with only 19% hospitalised with COVID-19. 42% of individuals had 10 or more symptoms and 60% had severe post-COVID-19 syndrome. Fatigue (98%), muscle aches (87%), breathlessness (88%) and headaches (83%) were most frequently reported. Mild organ impairment was present in the heart (26%), lungs (11%), kidneys (4%), liver (28%), pancreas (40%) and spleen (4%), with single-organ and multiorgan impairment in 70% and 29%, respectively. Hospitalisation was associated with older age (p=0.001), non-white ethnicity (p=0.016), increased liver volume (p<0.0001), pancreatic inflammation (p<0.01), and fat accumulation in the liver (p<0.05) and pancreas (p<0.01). Severe post-COVID-19 syndrome was associated with radiological evidence of cardiac damage (myocarditis) (p<0.05).
    Conclusions: In individuals at low risk of COVID-19 mortality with ongoing symptoms, 70% have impairment in one or more organs 4 months after initial COVID-19 symptoms, with implications for healthcare and public health, which have assumed low risk in young people with no comorbidities.
    Trial registration number: NCT04369807; Pre-results.
    MeSH term(s) Activities of Daily Living ; Adult ; Aged ; COVID-19/complications ; COVID-19/epidemiology ; COVID-19/physiopathology ; Case-Control Studies ; Community-Based Participatory Research ; Diabetes Mellitus, Type 2/complications ; Female ; Hospitalization/statistics & numerical data ; Humans ; Male ; Middle Aged ; Prospective Studies ; SARS-CoV-2 ; Severity of Illness Index
    Language English
    Publishing date 2021-03-30
    Publishing country England
    Document type Journal Article ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2020-048391
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