Literature DB >> 27617328

Usefulness of Health Registers for detection of bleeding events in outcome studies.

Leif Friberg1, Mika Skeppholm.   

Abstract

Administrative and claims databases are attractive for safety studies of anticoagulant and antithrombotic drugs. However, the validity of such data is often uncertain. It was our aim to assess the usefulness of the Swedish administrative health databases for detection of major bleeding events. All individuals with atrial fibrillation in Stockholm County from 2006 to 2013 (n=78,022) were identified from the Swedish Patient register. A search for bleeding diagnoses was done in the Patient register and in the Cause of Death register. The medical records of a random sample of 761 patients were studied and classified in a blinded and pre-specified way. The highest sensitivity (99.5 %) and specificity (94.0 %) were obtained by counting fatal bleeding events with the bleeding diagnosis recorded as first or second cause of death, and all hospitalisations without regard to the position of the diagnosis. Codes for transfusions were unreliable and did not increase accuracy. The registries identified 99.4 % of intracranial bleeding events and 82.6 % of gastrointestinal bleeding events correctly. All patients classified as "no bleedings" were indeed without bleeding. Overall the sensitivity was 85.5 % and the specificity 95.9 % for major bleeding events. In conclusion, Swedish nationwide health registries are well suited for conducting outcome studies involving identification of bleeding events. The use of a diagnostic code for bleeding, irrespective of its position as primary or secondary diagnosis, provided the best sensitivity and specificity for detection of bleeding events, as long as it was limited to contacts resulting in hospital admission.

Entities:  

Keywords:  Bleeding; database; safety study; validity

Mesh:

Year:  2016        PMID: 27617328     DOI: 10.1160/TH16-05-0400

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  16 in total

1.  Prasugrel versus ticagrelor in patients with myocardial infarction undergoing percutaneous coronary intervention.

Authors:  Dimitrios Venetsanos; Erik Träff; David Erlinge; Emil Hagström; Johan Nilsson; Liyew Desta; Bertil Lindahl; Linda Mellbin; Elmir Omerovic; Karolina Elisabeth Szummer; Sammy Zwackman; Tomas Jernberg; Joakim Alfredsson
Journal:  Heart       Date:  2021-03-12       Impact factor: 5.994

2.  Effectiveness and Safety of NOAC Versus Warfarin in Patients With Atrial Fibrillation and Aortic Stenosis.

Authors:  Line Melgaard; Thure Filskov Overvad; Martin Jensen; Thomas Decker Christensen; Gregory Y H Lip; Torben Bjerregaard Larsen; Peter Brønnum Nielsen
Journal:  J Am Heart Assoc       Date:  2021-11-24       Impact factor: 6.106

3.  Multimorbidity and Readmissions in Older People with Acute Coronary Syndromes.

Authors:  Gudny Stella Gudnadottir; Thorarinn Gudnason; Katarina Wilhelmson; Annica Ravn-Fischer
Journal:  Cardiology       Date:  2022-01-18       Impact factor: 2.342

4.  Time in Therapeutic Range and Outcomes After Warfarin Initiation in Newly Diagnosed Atrial Fibrillation Patients With Renal Dysfunction.

Authors:  Karolina Szummer; Alessandro Gasparini; Staffan Eliasson; Johan Ärnlöv; Abdul Rashid Qureshi; Peter Bárány; Marie Evans; Leif Friberg; Juan Jesus Carrero
Journal:  J Am Heart Assoc       Date:  2017-03-01       Impact factor: 5.501

5.  Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach.

Authors:  Rumeng Li; Baotian Hu; Feifan Liu; Weisong Liu; Francesca Cunningham; David D McManus; Hong Yu
Journal:  JMIR Med Inform       Date:  2019-02-08

6.  Less dementia and stroke in low-risk patients with atrial fibrillation taking oral anticoagulation.

Authors:  Leif Friberg; Tommy Andersson; Mårten Rosenqvist
Journal:  Eur Heart J       Date:  2019-07-21       Impact factor: 29.983

7.  Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis.

Authors:  Laura Pasea; Sheng-Chia Chung; Mar Pujades-Rodriguez; Anoop D Shah; Samantha Alvarez-Madrazo; Victoria Allan; James T Teo; Daniel Bean; Reecha Sofat; Richard Dobson; Amitava Banerjee; Riyaz S Patel; Adam Timmis; Spiros Denaxas; Harry Hemingway
Journal:  BMC Med       Date:  2019-11-20       Impact factor: 8.775

8.  Long-Term Stroke Risk Prediction in Patients With Atrial Fibrillation: Comparison of the ABC-Stroke and CHA2DS2-VASc Scores.

Authors:  José Miguel Rivera-Caravaca; Vanessa Roldán; María Asunción Esteve-Pastor; Mariano Valdés; Vicente Vicente; Gregory Y H Lip; Francisco Marín
Journal:  J Am Heart Assoc       Date:  2017-07-20       Impact factor: 5.501

9.  Risk factors for severe bleeding events during warfarin treatment: the influence of sex, age, comorbidity and co-medication.

Authors:  Diana M Rydberg; Marie Linder; Rickard E Malmström; Morten Andersen
Journal:  Eur J Clin Pharmacol       Date:  2020-03-28       Impact factor: 2.953

10.  Combined association of key risk factors on ischaemic outcomes and bleeding in patients with myocardial infarction.

Authors:  Daniel Lindholm; Giovanna Sarno; David Erlinge; Bodil Svennblad; Lars Pål Hasvold; Magnus Janzon; Tomas Jernberg; Stefan K James
Journal:  Heart       Date:  2019-05-04       Impact factor: 5.994

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