Cargando…

Low-Density Lipoprotein Cholesterol Target Attainment in Patients With Established Cardiovascular Disease: Analysis of Routine Care Data

BACKGROUND: Direct feedback on quality of care is one of the key features of a learning health care system (LHS), enabling health care professionals to improve upon the routine clinical care of their patients during practice. OBJECTIVE: This study aimed to evaluate the potential of routine care data...

Descripción completa

Detalles Bibliográficos
Autores principales:	Groenhof, T Katrien J, Kofink, Daniel, Bots, Michiel L, Nathoe, Hendrik M, Hoefer, Imo E, Van Solinge, Wouter W, Lely, A Titia, Asselbergs, Folkert W, Haitjema, Saskia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7163416/ https://www.ncbi.nlm.nih.gov/pubmed/32238333 http://dx.doi.org/10.2196/16400

Ejemplares similares

Evaluating a cardiovascular disease risk management care continuum within a learning healthcare system: a prospective cohort study
por: Groenhof, T Katrien J, et al.
Publicado: (2020)

Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system: Women benefit most
por: Groenhof, T. Katrien J., et al.
Publicado: (2023)

Routinely measured hematological parameters and prediction of recurrent vascular events in patients with clinically manifest vascular disease
por: Kofink, Daniel, et al.
Publicado: (2018)

Describing Characteristics and Differences of Neutrophils in Sepsis, Trauma, and Control Patients in Routinely Measured Hematology Data
por: Joosse, Huibert-Jan, et al.
Publicado: (2022)

Automatic Prediction of Recurrence of Major Cardiovascular Events: A Text Mining Study Using Chest X-Ray Reports
por: Bagheri, Ayoub, et al.
Publicado: (2021)

Asking informed consent may lead to significant participation bias and suboptimal cardiovascular risk management in learning healthcare systems
por: Zondag, Anna G. M., et al.
Publicado: (2023)

A Wolf in Sheep’s Clothing: Reuse of Routinely Obtained Laboratory Data in Research
por: Overmars, L Malin, et al.
Publicado: (2022)

Association of low testosterone with changes in non-cardiovascular biomarkers in adult men
por: Samoszuk, Michael, et al.
Publicado: (2019)

eHealth as the Next-Generation Perinatal Care: An Overview of the Literature
por: van den Heuvel, Josephus FM, et al.
Publicado: (2018)

Preventing cardiovascular disease after hypertensive disorders of pregnancy: Searching for the how and when
por: Groenhof, T Katrien J, et al.
Publicado: (2017)

The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis
por: Groenhof, T. Katrien J., et al.
Publicado: (2019)

A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors at the emergency department
por: Niemantsverdriet, Michael S. A., et al.
Publicado: (2022)

P1500: WHAT’S DRIVING RDW? IN-VITRO AND IN-SILICO EVIDENCE FOR OXIDATIVE STRESS
por: Joosse, Huibert-Jan, et al.
Publicado: (2023)

Ambiguous definitions for baseline serum creatinine affect acute kidney diagnosis at the emergency department
por: Niemantsverdriet, Michael, et al.
Publicado: (2021)

Fluorescein angiography leads to increased fluorescence of blood cells and may hamper routine haematology analysis of ophthalmology patients
por: de Groot, Evianne L., et al.
Publicado: (2021)

Data mining to retrieve smoking status from electronic health records in general practice( )
por: de Boer, Annemarijn R, et al.
Publicado: (2022)

Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
por: Niemantsverdriet, Michael S.A., et al.
Publicado: (2023)

A Human(e) Factor in Clinical Decision Support Systems
por: Bezemer, Tim, et al.
Publicado: (2019)

In-vitro and in-silico evidence for oxidative stress as drivers for RDW
por: Joosse, Huibert-Jan, et al.
Publicado: (2023)

A computerised decision support system for cardiovascular risk management ‘live’ in the electronic health record environment: development, validation and implementation—the Utrecht Cardiovascular Cohort Initiative
por: Groenhof, T. K. J., et al.
Publicado: (2019)

Low‐Density Lipoprotein Cholesterol Attributable Cardiovascular Disease Risk Is Sex Specific
por: Cupido, Arjen J., et al.
Publicado: (2022)

Preventing unnecessary imaging in patients suspect of coronary artery disease through machine learning of electronic health records
por: Overmars, L Malin, et al.
Publicado: (2021)

The Applied Data Analytics in Medicine Program: Lessons Learned From Four Years’ Experience With Personalizing Health Care in an Academic Teaching Hospital
por: Haitjema, Saskia, et al.
Publicado: (2022)

Gender differences in health-related quality of life in patients undergoing coronary angiography
por: Gijsberts, Crystel M, et al.
Publicado: (2015)

Transportability and Implementation Challenges of Early Warning Scores for Septic Shock in the ICU: A Perspective on the TREWScore
por: Niemantsverdriet, Michael S. A., et al.
Publicado: (2022)

Real-time imputation of missing predictor values in clinical practice
por: Nijman, Steven W J, et al.
Publicado: (2020)

Hematological Parameters Improve Prediction of Mortality and Secondary Adverse Events in Coronary Angiography Patients: A Longitudinal Cohort Study
por: Gijsberts, Crystel M., et al.
Publicado: (2015)

Added diagnostic value of routinely measured hematology variables in diagnosing immune checkpoint inhibitor mediated toxicity in the emergency department
por: Niemantsverdriet, Michael S. A., et al.
Publicado: (2023)

Characteristics of peripheral blood cells are independently related to major adverse cardiovascular events after carotid endarterectomy
por: Overmars, L. Malin, et al.
Publicado: (2023)

Low Density Lipoprotein Cholesterol Target Goal Attainment Rate in Korean Patients with Diabetes
por: Lee, Eun Hae, et al.
Publicado: (2011)

Association between parity and persistent weight gain at age 40–60 years: a longitudinal prospective cohort study
por: Zoet, Gerbrand Albertus, et al.
Publicado: (2019)

Low-density lipoprotein cholesterol goal attainment in Germany: Results from the DA VINCI study
por: Gouni-Berthold, Ioanna, et al.
Publicado: (2022)

Long-term Graft Survival and Graft Function Following Pregnancy in Kidney Transplant Recipients: A Systematic Review and Meta-analysis
por: van Buren, Marleen C., et al.
Publicado: (2019)

Triglyceride concentrations and non-high-density lipoprotein cholesterol goal attainment in the ODYSSEY phase 3 trials with alirocumab
por: Vallejo-Vaz, Antonio J, et al.
Publicado: (2020)

Low-density lipoprotein cholesterol goal attainment in patients with clinical evidence of familial hypercholesterolemia and elevated Lp(a)
por: Schwarz, Andrea, et al.
Publicado: (2022)

Microarray testing in patients with systemic lupus erythematosus identifies a high prevalence of CpG DNA-binding antibodies
por: Brunekreef, Tammo, et al.
Publicado: (2021)

Statin prescription patterns, adherence, and attainment of cholesterol treatment goals in routine clinical care: a Danish population-based study
por: Svensson, Elisabeth, et al.
Publicado: (2015)

Text Mining of Electronic Health Records Can Accurately Identify and Characterize Patients With Systemic Lupus Erythematosus
por: Brunekreef, Tammo E., et al.
Publicado: (2021)

Statin therapy in patients with acute coronary syndrome: low-density lipoprotein cholesterol goal attainment and effect of statin potency
por: Chinwong, Dujrudee, et al.
Publicado: (2015)

Role of Lipid-Lowering Therapy in Low-Density Lipoprotein Cholesterol Goal Attainment: Focus on Patients With Acute Coronary Syndrome
por: Wang, Qinqin, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ccr3nkpqmbp8tks7l9mafmr3ep