ArticleBMC health services research2016
Identification of major cardiovascular events in patients with diabetes using primary care data.
Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
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- The Association between Deductibles and Cardiovascular Medication Adherence: A Retrospective Inception Cohort Study.Drugs - real world outcomes · 2024Article
- Comparative Effectiveness of Anti-Hyperlipidemic Drugs Monotherapy in Primary Prevention of Cardiovascular Disease.International journal of general medicine · 2024Article
- Comparative effectiveness of antihypertensive monotherapies in primary prevention of cardiovascular events-a real-world longitudinal inception cohort study.Frontiers in pharmacology · 2024Article
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- Risk factors for drug-treated major adverse cardio-cerebrovascular events in patients on primary preventive statin therapy: A retrospective cohort study.Preventive medicine reports · 2023Article
- Role of Traditional Cardiovascular Risk Factors after Initiation of Statin Therapy: A PharmLines Inception Cohort Study.Cardiovascular therapeutics · 2022Article
- Electronic Medical Record-Based Case Phenotyping for the Charlson Conditions: Scoping Review.JMIR medical informatics · 2021Article
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- Identified mental disorders in older adults in primary care: A cross-sectional database study.The European journal of general practice · 2018Article
- Association between statins and infections among patients with diabetes: a cohort and prescription sequence symmetry analysis.Pharmacoepidemiology and drug safety · 2016 · on this mapObservational
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRoutine primary care data are increasingly being used for evaluation and research purposes but there are concerns about the completeness and accuracy of diagnoses and events captured in such databases. We evaluated how well patients with major cardiovascular disease (CVD) can be identified using primary care morbidity data and drug prescriptions.
methodsThe study was conducted using data from 17,230 diabetes patients of the GIANTT database and Dutch Hospital Data register. To estimate the accuracy of the different measures, we analyzed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) relative to hospitalizations and/or records with a diagnosis indicating major CVD, including ischaemic heart diseases and cerebrovascular events.
resultsUsing primary care morbidity data, 43% of major CVD hospitalizations could be identified. Adding drug prescriptions to the search increased the sensitivity up to 94%. A proxy of at least one prescription of either a platelet aggregation inhibitor, vitamin k antagonist or nitrate could identify 85% of patients with a history of major CVD recorded in primary care, with an NPV of 97%. Using the same proxy, 57% of incident major CVD recorded in primary or hospital care could be identified, with an NPV of 99%.
conclusionsA substantial proportion of major CVD hospitalizations was not recorded in primary care morbidity data. Drug prescriptions can be used in addition to diagnosis codes to identify more patients with major CVD, and also to identify patients without a history of major CVD.
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