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Ahmed H, Reeve N, Farewell D, Hamilton F, Ponsford M, Hippisley-Cox J, Noble S. Risk of bleeding amongst warfarin and direct oral anticoagulant users prescribed immediate antibiotics for respiratory tract infection: Cohort study. Pharmacoepidemiol Drug Saf 2024; 33:e5794. [PMID: 38680080 DOI: 10.1002/pds.5794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 02/20/2024] [Accepted: 04/01/2024] [Indexed: 05/01/2024]
Abstract
PURPOSE Incidence of bleeding amongst warfarin and direct oral anticoagulant (DOAC) users is greater following a respiratory tract infection (RTI). It is unclear whether immediate antibiotics modify this association. We estimated the risk of bleeding amongst warfarin and DOAC users with RTI by antibiotic treatment. METHODS This retrospective cohort study used data from the Clinical Practice Research Datalink (CPRD) GOLD for adults in England prescribed warfarin or a DOAC, who sought primary care for an RTI between 1st January 2011 and 31st December 2019. Outcomes were major bleeding (hospital admission for intracranial or gastrointestinal bleeding), and non-major bleeding (hospital admission or General Practice consult for epistaxis, haemoptysis, or haematuria). Cox models derived hazard ratios (HRs) and 95% confidence intervals (CIs) for each outcome, adjusting for confounders using inverse probability of treatment weighting. RESULTS Of 14 817 warfarin and DOAC users consulting for an RTI, 8768 (59%) were prescribed immediate antibiotics and 6049 (41%) were not. Approximately 49% were female, and median age was 76 years. Antibiotics were associated with reduced risk of major bleeding (adjusted HR 0.38, 95% CI 0.25 to 0.58). This was consistent across several sensitivity analyses. Antibiotics were also associated with a reduced risk of non-major bleeding (adjusted HR 0.78, 95% CI 0.61 to 0.99). CONCLUSIONS Immediate antibiotics were associated with reduced risk of bleeding amongst warfarin and DOAC users with an RTI. Further work is needed to understand mechanisms and confirm whether a lower threshold for antibiotic use for RTI in this population may be beneficial.
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Affiliation(s)
- Haroon Ahmed
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
| | - Nicola Reeve
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
| | - Daniel Farewell
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
| | - Fergus Hamilton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Mark Ponsford
- Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon Noble
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
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Harris J, Pouwels KB, Johnson T, Sterne J, Pithara C, Mahadevan K, Reeves B, Benedetto U, Loke Y, Lasserson D, Doble B, Hopewell-Kelly N, Redwood S, Wordsworth S, Mumford A, Rogers C, Pufulete M. Bleeding risk in patients prescribed dual antiplatelet therapy and triple therapy after coronary interventions: the ADAPTT retrospective population-based cohort studies. Health Technol Assess 2023; 27:1-257. [PMID: 37435838 PMCID: PMC10363958 DOI: 10.3310/mnjy9014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023] Open
Abstract
Background Bleeding among populations undergoing percutaneous coronary intervention or coronary artery bypass grafting and among conservatively managed patients with acute coronary syndrome exposed to different dual antiplatelet therapy and triple therapy (i.e. dual antiplatelet therapy plus an anticoagulant) has not been previously quantified. Objectives The objectives were to estimate hazard ratios for bleeding for different antiplatelet and triple therapy regimens, estimate resources and the associated costs of treating bleeding events, and to extend existing economic models of the cost-effectiveness of dual antiplatelet therapy. Design The study was designed as three retrospective population-based cohort studies emulating target randomised controlled trials. Setting The study was set in primary and secondary care in England from 2010 to 2017. Participants Participants were patients aged ≥ 18 years undergoing coronary artery bypass grafting or emergency percutaneous coronary intervention (for acute coronary syndrome), or conservatively managed patients with acute coronary syndrome. Data sources Data were sourced from linked Clinical Practice Research Datalink and Hospital Episode Statistics. Interventions Coronary artery bypass grafting and conservatively managed acute coronary syndrome: aspirin (reference) compared with aspirin and clopidogrel. Percutaneous coronary intervention: aspirin and clopidogrel (reference) compared with aspirin and prasugrel (ST elevation myocardial infarction only) or aspirin and ticagrelor. Main outcome measures Primary outcome: any bleeding events up to 12 months after the index event. Secondary outcomes: major or minor bleeding, all-cause and cardiovascular mortality, mortality from bleeding, myocardial infarction, stroke, additional coronary intervention and major adverse cardiovascular events. Results The incidence of any bleeding was 5% among coronary artery bypass graft patients, 10% among conservatively managed acute coronary syndrome patients and 9% among emergency percutaneous coronary intervention patients, compared with 18% among patients prescribed triple therapy. Among coronary artery bypass grafting and conservatively managed acute coronary syndrome patients, dual antiplatelet therapy, compared with aspirin, increased the hazards of any bleeding (coronary artery bypass grafting: hazard ratio 1.43, 95% confidence interval 1.21 to 1.69; conservatively-managed acute coronary syndrome: hazard ratio 1.72, 95% confidence interval 1.15 to 2.57) and major adverse cardiovascular events (coronary artery bypass grafting: hazard ratio 2.06, 95% confidence interval 1.23 to 3.46; conservatively-managed acute coronary syndrome: hazard ratio 1.57, 95% confidence interval 1.38 to 1.78). Among emergency percutaneous coronary intervention patients, dual antiplatelet therapy with ticagrelor, compared with dual antiplatelet therapy with clopidogrel, increased the hazard of any bleeding (hazard ratio 1.47, 95% confidence interval 1.19 to 1.82), but did not reduce the incidence of major adverse cardiovascular events (hazard ratio 1.06, 95% confidence interval 0.89 to 1.27). Among ST elevation myocardial infarction percutaneous coronary intervention patients, dual antiplatelet therapy with prasugrel, compared with dual antiplatelet therapy with clopidogrel, increased the hazard of any bleeding (hazard ratio 1.48, 95% confidence interval 1.02 to 2.12), but did not reduce the incidence of major adverse cardiovascular events (hazard ratio 1.10, 95% confidence interval 0.80 to 1.51). Health-care costs in the first year did not differ between dual antiplatelet therapy with clopidogrel and aspirin monotherapy among either coronary artery bypass grafting patients (mean difference £94, 95% confidence interval -£155 to £763) or conservatively managed acute coronary syndrome patients (mean difference £610, 95% confidence interval -£626 to £1516), but among emergency percutaneous coronary intervention patients were higher for those receiving dual antiplatelet therapy with ticagrelor than for those receiving dual antiplatelet therapy with clopidogrel, although for only patients on concurrent proton pump inhibitors (mean difference £1145, 95% confidence interval £269 to £2195). Conclusions This study suggests that more potent dual antiplatelet therapy may increase the risk of bleeding without reducing the incidence of major adverse cardiovascular events. These results should be carefully considered by clinicians and decision-makers alongside randomised controlled trial evidence when making recommendations about dual antiplatelet therapy. Limitations The estimates for bleeding and major adverse cardiovascular events may be biased from unmeasured confounding and the exclusion of an eligible subgroup of patients who could not be assigned an intervention. Because of these limitations, a formal cost-effectiveness analysis could not be conducted. Future work Future work should explore the feasibility of using other UK data sets of routinely collected data, less susceptible to bias, to estimate the benefit and harm of antiplatelet interventions. Trial registration This trial is registered as ISRCTN76607611. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 8. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Jessica Harris
- Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Koen B Pouwels
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Thomas Johnson
- Department of Cardiology, Bristol Heart Institute, Bristol, UK
| | - Jonathan Sterne
- National Institute for Health Research Biomedical Research Centre, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Christalla Pithara
- National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), Bristol, UK
| | | | - Barney Reeves
- Bristol Trials Centre, University of Bristol, Bristol, UK
| | | | - Yoon Loke
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - Daniel Lasserson
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Brett Doble
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Sabi Redwood
- National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), Bristol, UK
| | - Sarah Wordsworth
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Andrew Mumford
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Chris Rogers
- Bristol Trials Centre, University of Bristol, Bristol, UK
| | - Maria Pufulete
- Bristol Trials Centre, University of Bristol, Bristol, UK
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Wang X, Mobley AR, Tica O, Okoth K, Ghosh RE, Myles P, Williams T, Haynes S, Nirantharakumar K, Shukla D, Kotecha D, Mehta S, Breeze S, Lancaster K, Fordyce S, Allen N, Calvert M, Denniston A, Gkoutos G, Jayawardana S, Ball S, Baigent C, Brocklehurst P, Lester W, McManus R, Seri S, Valentine J, Camm AJ, Haynes S, Moore DJ, Rogers A, Stanbury M, Flather M, Walker S, Wang D. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomized trial . EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022; 3:426-436. [PMID: 36712153 PMCID: PMC9708037 DOI: 10.1093/ehjdh/ztac046] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/15/2022] [Indexed: 02/01/2023]
Abstract
Aims Improving the efficiency of clinical trials is key to their continued importance in directing evidence-based patient care. Digital innovations, in particular the use of electronic healthcare records (EHRs), allow for large-scale screening and follow up of participants. However, it is critical these developments are accompanied by robust and transparent methods that can support high-quality and high clinical value research. Methods and results The DaRe2THINK trial includes a series of novel processes, including nationwide pseudonymized pre screening of the primary-care EHR across England, digital enrolment, remote e-consent, and 'no-visit' follow up by linking all primary- and secondary-care health data with patient-reported outcomes. DaRe2THINK is a pragmatic, healthcare-embedded randomized trial testing whether earlier use of direct oral anticoagulants in patients with prior or current atrial fibrillation can prevent thromboembolic events and cognitive decline (www.birmingham.ac.uk/dare2think). This study outlines the systematic approach and methodology employed to define patient information and outcome events. This includes transparency on all medical code lists and phenotypes used in the trial across a variety of national data sources, including Clinical Practice Research Datalink Aurum (primary care), Hospital Episode Statistics (secondary care), and the Office for National Statistics (mortality). Conclusion Co-designed by a patient and public involvement team, DaRe2THINK presents an opportunity to transform the approach to randomized trials in the setting of routine healthcare, providing high-quality evidence generation in populations representative of the community at risk.
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Affiliation(s)
- Xiaoxia Wang
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK,Health Data Research UK Midlands, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Alastair R Mobley
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK,Health Data Research UK Midlands, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Otilia Tica
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | - Kelvin Okoth
- Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK
| | - Rebecca E Ghosh
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | - Puja Myles
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | - Tim Williams
- Clinical Practice Research Datalink, Medicines and Healthcare products Regulatory Agency, London, UK
| | | | | | - David Shukla
- Institute of Applied Health Sciences, University of Birmingham, Birmingham, UK,Primary Care Clinical Research, NIHR Clinical Research Network West Midlands, Birmingham, UK
| | - Dipak Kotecha
- Corresponding author. Heritage Building, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Mindelsohn Way, Birmingham, B15 2GW, UK. Tel: +44 121 3718122,
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Nasution ES, Muchtar R, Syahputra RA. The Study of Drug-Related Problems in Pediatric Inpatients Utilizing Antibiotics in Universitas Sumatera Utara Hospital Medan, Indonesia. Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.7552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: Drug-related problems (DRPs) and errors occur frequently in general health and pediatric care due to several reasons.
AIM: This study aims to determine the DRPs incidence in pediatric inpatients utilizing antibiotics in Universitas Sumatera Utara Hospital, Medan, Indonesia.
MATERIALS AND METHODS: It was carried out in May–July 2019 using a retrospective cross-sectional method and the data obtained from June to December 2018.
RESULTS: In the aforementioned hospital, the medical records of patients were 575 among which 135 (23.47%) met the inclusion criteria and the males, 84 (62.22%) were higher than females. Furthermore, majority of them, 55 (40.74%) were 5–11 years old, and 86 (63.70%) had a maximum stay length of ≥5 days. There were 73 DRPs events in 37 patients, namely, 46 (63.01%) low doses, 22 (30.14%) overdoses, 2 (2.74%) side effects of drugs, and 3 (4.11%) drug interactions. The most experienced antibiotic DRPs were in cefotaxime 14 (19.17%) and the most diagnosed was in appendicitis 14 (10.37%) utilization.
CONCLUSION: There were antibiotic DRPs in pediatric inpatients in Universitas Sumatera Utara Hospital, Medan.
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5
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Ahmed H, Whitaker H, Farewell D, Hippisley-Cox J, Noble S. Respiratory tract infection and risk of bleeding in oral anticoagulant users: self-controlled case series. BMJ 2021; 375:e068037. [PMID: 34933893 PMCID: PMC8689396 DOI: 10.1136/bmj-2021-068037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To estimate the association between untreated, community acquired, respiratory tract infections and bleeding in oral anticoagulant users. DESIGN Self-controlled case series. SETTING General practices in England contributing data to the Clinical Practice Research Datalink GOLD. PARTICIPANTS 1208 adult users of warfarin or direct oral anticoagulants with a general practice or hospital admission record of a bleeding event between January 2010 and December 2019, and a general practice record of a consultation for a community acquired respiratory tract infection for which immediate antibiotics were not prescribed (that is, untreated). MAIN OUTCOME MEASURES Relative incidence of major bleeding and clinically relevant non-major bleeding in the 0-14 days after an untreated respiratory tract infection, compared to unexposed time periods. RESULTS Of 1208 study participants, 58% (n=701) were male, median age at time of first bleed was 79 years (interquartile range 72-85), with a median observation period of 2.4 years (interquartile range 1.3-3.8). 292 major bleeds occurred during unexposed time periods and 41 in the 0-14 days after consultation for a respiratory tract infection. 1003 clinically relevant non-major bleeds occurred during unexposed time periods and 81 in the 0-14 days after consultation for a respiratory tract infection. After adjustment for age, season, and calendar year, the relative incidence of major bleeding (incidence rate ratio 2.68, 95% confidence interval 1.83 to 3.93) and clinically relevant non-major bleeding (2.32, 1.82 to 2.94) increased in the 0-14 days after an untreated respiratory tract infection. Findings were robust to several sensitivity analyses and did not differ by sex or type of oral anticoagulant. CONCLUSIONS This study observed a greater than twofold increase in the risk of bleeding during the 0-14 days after an untreated respiratory tract infection. These findings have potential implications for how patients and clinicians manage oral anticoagulant use during an acute intercurrent illness and warrant further investigation into the potential risks and how they might be mitigated.
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Affiliation(s)
- Haroon Ahmed
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
| | | | - Daniel Farewell
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon Noble
- Division of Population Medicine, Cardiff University School of Medicine, Cardiff, UK
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6
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van den Dries CJ, van Doorn S, Souverein P, Pajouheshnia R, Moons KGM, Hoes AW, Geersing GJ, van den Ham HA. The Number of Concomitant Drugs and the Safety of Direct Oral Anticoagulants in Routine Care Patients with Atrial Fibrillation. TH OPEN 2020; 4:e417-e426. [PMID: 33376941 PMCID: PMC7758151 DOI: 10.1055/s-0040-1721499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 10/22/2020] [Indexed: 12/13/2022] Open
Abstract
Background
The benefit of direct oral anticoagulants (DOACs) versus vitamin K antagonists (VKAs) on major bleeding was less prominent among atrial fibrillation (AF) patients with polypharmacy in post-hoc randomized controlled trials analyses. Whether this phenomenon also exists in routine care is unknown. The aim of the study is to investigate whether the number of concomitant drugs prescribed modifies safety and effectiveness of DOACs compared with VKAs in AF patients treated in general practice.
Study Design
Adult, nonvalvular AF patients with a first DOAC or VKA prescription between January 2010 and July 2018 were included, using data from the United Kingdom Clinical Practice Research Datalink. Primary outcome was major bleeding, secondary outcomes included types of major bleeding, nonmajor bleeding, ischemic stroke, and all-cause mortality. Effect modification was assessed using Cox proportional hazard regression, stratified for the number of concomitant drugs into three strata (0–5, 6–8, ≥9 drugs), and by including the continuous variable in an interaction term with the exposure (DOAC vs. VKA).
Results
A total of 63,600 patients with 146,059 person-years of follow-up were analyzed (39,840 person-years of DOAC follow-up). The median age was 76 years in both groups, the median number of concomitant drugs prescribed was 7. Overall, the hazard of major bleeding was similar between VKA-users and DOAC-users (hazard ratio [HR] 0.98; 95% confidence interval [CI] 0.87–1.11), though for apixaban a reduction in major bleeding was observed (HR 0.81; 95% CI 0.68–0.98). Risk of stroke was comparable, while risk of nonmajor bleeding was lower in DOAC users compared with VKA users (HR 0.92; 95% CI 0.88–0.97). We did not observe any evidence for an impact of polypharmacy on the relative risk of major bleeding between VKA and DOAC across our predefined three strata of concomitant drug use (
p
-value for interaction = 0.65). For mortality, however, risk of mortality was highest among DOAC users, increasing with polypharmacy and independent of the type of DOAC prescribed (
p
-value for interaction <0.01).
Conclusion
In this large observational, population-wide study of AF patients, risk of bleeding, and ischemic stroke were comparable between DOACs and VKAs, irrespective of the number of concomitant drugs prescribed. In AF patients with increasing polypharmacy, our data appeared to suggest an unexplained yet increased risk of mortality in DOAC-treated patients, compared with VKA recipients.
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Affiliation(s)
- Carline J van den Dries
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Sander van Doorn
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Patrick Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Romin Pajouheshnia
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Karel G M Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Arno W Hoes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Geert-Jan Geersing
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Hendrika A van den Ham
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
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7
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Saine ME, Carbonari DM, Newcomb CW, Gallagher AM, Blak BT, Roy JA, Wood J, Cardillo S, Hennessy S, Strom BL, Lo Re V. Concordance of hospitalizations between Clinical Practice Research Datalink and linked Hospital Episode Statistics among patients treated with oral antidiabetic therapies. Pharmacoepidemiol Drug Saf 2019; 28:1328-1335. [PMID: 31328342 DOI: 10.1002/pds.4853] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 06/11/2019] [Accepted: 06/12/2019] [Indexed: 01/31/2023]
Abstract
PURPOSE The ability of the Clinical Practice Research Datalink (CPRD) to ascertain all-cause hospitalizations remains unknown. We determined the proportion of hospitalizations in CPRD that were also recorded in Hospital Episode Statistics (HES), and vice versa, among patients initiating oral antidiabetic (OAD) therapy. METHODS We conducted a retrospective cohort study from October 2009 to September 2012 among OAD-treated patients registered with general practitioners who contribute to CPRD and consent to HES linkage. In CPRD, we identified initial hospitalizations for each calendar year by an Inpatient Referral, Consultation Type code, or Read code indicating an inpatient episode and determined if an admission date was recorded in HES within ±30 days. We then identified initial HES admission dates and determined if a hospitalization was documented in CPRD within ±30 days. Sensitivity analyses were conducted utilizing HES discharge, rather than admission, dates. RESULTS Among 8574 OAD-treated HES-linked patients in CPRD, 6574 initial hospitalizations across the study period were identified in CPRD, and 5188 (78.9% [95% CI, 77.9%-79.9%]) were confirmed by a HES admission date within ±30 days (median difference, ±3 days [IQR, 1-7 days]). Among 8609 initial hospital admissions in HES, 4803 (55.7% [95% CI, 54.7%-56.8%]) hospitalizations were recorded in CPRD within ±30 days (median difference, ±4 days [IQR, 1-9 days]). Similar results were observed using HES discharge dates. CONCLUSION A substantial minority of patient-level hospitalization data are nonconcordant between HES and CPRD. Pharmacoepidemiologic studies within CPRD that seek to identify hospitalizations should consider linkage with HES to ensure adequate ascertainment of inpatient events.
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Affiliation(s)
- M Elle Saine
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Dena M Carbonari
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Craig W Newcomb
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Arlene M Gallagher
- Clinical Practice Research Datalink, Medicines and Healthcare Products Regulatory Agency, London, UK
| | | | - Jason A Roy
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Rutgers Biomedical & Health Sciences, The State University of New Jersey, Newark, NJ, USA
| | - Jennifer Wood
- Department of Global Pharmacovigilance and Epidemiology, Bristol-Myers Squibb, Hopewell, NJ, USA
| | - Serena Cardillo
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sean Hennessy
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian L Strom
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Rutgers Biomedical & Health Sciences, The State University of New Jersey, Newark, NJ, USA
| | - Vincent Lo Re
- Center for Clinical Epidemiology and Biostatistics, Center for Pharmacoepidemiology Research and Training, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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8
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Schultze A, Graham S, Nordstrom BL, Mehmud F, Ramagopalan SV. Commonly used definitions in real-world studies may underestimate the prevalence of renal disease among nonvalvular atrial fibrillation patients. J Comp Eff Res 2019; 8:961-968. [PMID: 31317772 DOI: 10.2217/cer-2019-0070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To describe comorbidities among treated nonvalvular atrial fibrillation (NVAF) patients and assess the impact of using different time ('look back' windows) on the prevalence estimates. Patients & methods: We included all adult nonvalvular atrial fibrillation patients newly initiating treatment in the Clinical Practice Research Datalink. Comorbidities included in the Charlson Comorbidity Index were defined using an all available, 3- and 1-year look back window before the start of treatment. Results: The prevalence of comorbidities was high and increased when using longer look back windows; the largest difference was observed for renal disease (+15.6%). Conclusion: Our findings emphasize the importance of using all available data when characterizing chronic conditions and highlights the high comorbidity burden in this population.
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Affiliation(s)
| | | | | | - Faisal Mehmud
- Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH, UK
| | - Sreeram V Ramagopalan
- Centre for Observational Research & Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH, UK
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