Cargando…

Long‐Term Cardiovascular Risk and Management of Patients Recorded in Primary Care With Unattributed Chest Pain: An Electronic Health Record Study

BACKGROUND: Most adults presenting with chest pain will not receive a diagnosis and be recorded with unattributed chest pain. The objective was to assess if they have increased risk of cardiovascular disease compared with those with noncoronary chest pain and determine whether investigations and int...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jordan, Kelvin P., Rathod‐Mistry, Trishna, Bailey, James, Chen, Ying, Clarson, Lorna, Denaxas, Spiros, Hayward, Richard A., Hemingway, Harry, van der Windt, Danielle A., Mamas, Mamas A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075433/ https://www.ncbi.nlm.nih.gov/pubmed/35301875 http://dx.doi.org/10.1161/JAHA.121.023146

Ejemplares similares

Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study
por: Jordan, Kelvin P, et al.
Publicado: (2023)

Prognosis of undiagnosed chest pain: linked electronic health record cohort study
por: Jordan, Kelvin P, et al.
Publicado: (2017)

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death
por: Shah, Anoop D., et al.
Publicado: (2019)

Prevalence of Cardiovascular Risk Factors in Osteoarthritis Patients Derived from Primary Care Records: A Systematic Review of Observational Studies
por: Huang, Xiaoyang, et al.
Publicado: (2021)

A Comprehensive Evaluation of Graph Kernels for Unattributed Graphs
por: Zhang, Yi, et al.
Publicado: (2018)

Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records
por: Bell, Steven, et al.
Publicado: (2017)

Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study
por: Herrett, Emily, et al.
Publicado: (2013)

Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning
por: Wang, Zhuoran, et al.
Publicado: (2012)

Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients
por: George, Julie, et al.
Publicado: (2017)

Estimating the population health burden of musculoskeletal conditions using primary care electronic health records
por: Yu, Dahai, et al.
Publicado: (2021)

Methods for enhancing the reproducibility of biomedical research findings using electronic health records
por: Denaxas, Spiros, et al.
Publicado: (2017)

Association between clinical presentations before myocardial infarction and coronary mortality: a prospective population-based study using linked electronic records
por: Herrett, Emily, et al.
Publicado: (2014)

Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
por: Pikoula, Maria, et al.
Publicado: (2019)

Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)
por: Denaxas, Spiros C, et al.
Publicado: (2012)

Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries
por: Wright, F Lucy, et al.
Publicado: (2022)

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
por: Steele, Andrew J., et al.
Publicado: (2018)

Weight Change and the Onset of Cardiovascular Diseases: Emulating Trials Using Electronic Health Records
por: Katsoulis, Michail, et al.
Publicado: (2021)

White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

A retrospective cohort study predicting and validating impact of the COVID-19 pandemic in individuals with chronic kidney disease
por: Dashtban, Ashkan, et al.
Publicado: (2022)

Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes
por: Herrett, Emily, et al.
Publicado: (2013)

Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
por: Hemingway, Harry, et al.
Publicado: (2018)

Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure
por: Papez, Vaclav, et al.
Publicado: (2021)

A novel metadata management model to capture consent for record linkage in longitudinal research studies
por: McMahon, Christiana, et al.
Publicado: (2017)

Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis
por: Banerjee, Amitava, et al.
Publicado: (2019)

Elevated plasma triglyceride concentration and risk of adverse clinical outcomes in 1.5 million people: a CALIBER linked electronic health record study
por: Patel, Riyaz S., et al.
Publicado: (2022)

Interstitial lung disease is a risk factor for ischaemic heart disease and myocardial infarction
por: Clarson, Lorna Elise, et al.
Publicado: (2020)

Cardiovascular Health Care Implications of the COVID-19 pandemic
por: Raisi-Estabragh, Zahra, et al.
Publicado: (2022)

Cardiovascular Health Care Implications of the COVID-19 pandemic
por: Raisi-Estabragh, Zahra, et al.
Publicado: (2023)

Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals
por: Dashtban, Ashkan, et al.
Publicado: (2023)

Incidence and mortality due to thromboembolic events during the COVID-19 pandemic: Multi-sourced population-based health records cohort study
por: Aktaa, Suleman, et al.
Publicado: (2021)

Diabetes as a risk factor for the onset of frozen shoulder: a systematic review and meta-analysis
por: Dyer, Brett Paul, et al.
Publicado: (2023)

Risk factors for incident heart failure in age‐ and sex‐specific strata: a population‐based cohort using linked electronic health records
por: Uijl, Alicia, et al.
Publicado: (2019)

Diabetes as a Prognostic Factor in Frozen Shoulder: A Systematic Review
por: Dyer, Brett P., et al.
Publicado: (2021)

Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study
por: Shah, Anoop Dinesh, et al.
Publicado: (2017)

How Common Is Pre-Existing Cardiovascular Disease in Cancer Patients: What Do We Know? Does It Matter?
por: Mamas, Mamas A., et al.
Publicado: (2022)

Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients
por: Rapsomaniki, Eleni, et al.
Publicado: (2014)

Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation
por: Morley, Katherine I., et al.
Publicado: (2014)

Social Media for Cardiovascular Medicine: Real Reflections from Virtual Medium
por: Parwani, Purvi, et al.
Publicado: (2021)

Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study
por: Shah, Anoop Dinesh, et al.
Publicado: (2016)

Selective recruitment designs for improving observational studies using electronic health records
por: Barrett, James E., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_3f37mok0iff64t0fdqta3gdqk0