Accuracy of identifying incident stroke cases from linked health care data in UK Biobank

ObjectiveIn UK Biobank (UKB), a large population-based prospective study, cases of many diseases are ascertained through linkage to routinely collected, coded national health datasets. We assessed the accuracy of these for identifying incident strokes.MethodsIn a regional UKB subpopulation (n = 17,249), we identified all participants with ≥1 code signifying a first stroke after recruitment (incident stroke-coded cases) in linked hospital admission, primary care, or death record data. Stroke physicians reviewed their full electronic patient records (EPRs) and generated reference standard diagnoses. We evaluated the number and proportion of cases that were true-positives (i.e., positive predictive value [PPV]) for all codes combined and by code source and type.ResultsOf 232 incident stroke-coded cases, 97% had EPR information available. Data sources were 30% hospital admission only, 39% primary care only, 28% hospital and primary care, and 3% death records only. While 42% of cases were coded as unspecified stroke type, review of EPRs enabled a pathologic type to be assigned in >99%. PPVs (95% confidence intervals) were 79% (73%–84%) for any stroke (89% for hospital admission codes, 80% for primary care codes) and 83% (74%–90%) for ischemic stroke. PPVs for small numbers of death record and hemorrhagic stroke codes were low but imprecise.ConclusionsStroke and ischemic stroke cases in UKB can be ascertained through linked health datasets with sufficient accuracy for many research studies. Further work is needed to understand the accuracy of death record and hemorrhagic stroke codes and to develop scalable approaches for better identifying stroke types.

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Primary Care Consultations after Hospitalisation for Pneumonia: A Large Population-based Cohort Study

British Journal of General Practice ◽

10.3399/bjgp.2020.0890 ◽

2020 ◽

pp. BJGP.2020.0890

Author(s):

Vadsala Baskaran ◽

Fiona Pearce ◽

Rowan H Harwood ◽

Tricia McKeever ◽

Wei Shen Lim

Keyword(s):

Primary Care ◽

Cohort Study ◽

Large Population ◽

Significant Proportion ◽

Antibiotic Use ◽

Population Based ◽

Practice Research ◽

Clinical Practice Research Datalink ◽

Respiratory Disorder ◽

The Impact

Background: Up to 70% of patients report ongoing symptoms four weeks after hospitalisation for pneumonia, and the impact on primary care is poorly understood. Aim: To investigate the frequency of primary care consultations after hospitalisation for pneumonia, and the reasons for consultation. Design: Population-based cohort study. Setting: UK primary care database of anonymised medical records (Clinical Practice Research Datalink, CPRD) linked to Hospital Episode Statistics (HES), England. Methods: Adults with the first ICD-10 code for pneumonia (J12-J18) recorded in HES between July 2002-June 2017 were included. Primary care consultation within 30 days of discharge was identified as the recording of any medical Read code (excluding administration-related codes) in CPRD. Competing-risks regression analyses were conducted to determine the predictors of consultation and antibiotic use at consultation; death and readmission were competing events. Reasons for consultation were examined. Results: Of 56,396 adults, 55.9% (n=31,542) consulted primary care within 30 days of discharge. The rate of consultation was highest within 7 days (4.7 per 100 person-days). The strongest predictor for consultation was a higher number of primary care consultations in the year prior to index admission (adjusted sHR 8.98, 95% CI 6.42-12.55). The commonest reason for consultation was for a respiratory disorder (40.7%, n=12,840), 12% for pneumonia specifically. At consultation, 31.1% (n=9,823) received further antibiotics. Penicillins (41.6%, n=5,753) and macrolides (21.9%, n=3,029) were the commonest antibiotics prescribed. Conclusion: Following hospitalisation for pneumonia, a significant proportion of patients consulted primary care within 30 days, highlighting the morbidity experienced by patients during recovery from pneumonia.

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Occupations associated with COPD risk in the large population-based UK Biobank cohort study

Occupational and Environmental Medicine ◽

10.1136/oemed-2015-103406 ◽

2016 ◽

Vol 73 (6) ◽

pp. 378-384 ◽

Cited By ~ 28

Author(s):

Sara De Matteis ◽

Deborah Jarvis ◽

Sally Hutchings ◽

Andy Darnton ◽

David Fishwick ◽

...

Keyword(s):

Cohort Study ◽

Large Population ◽

Population Based ◽

Uk Biobank

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Abstract P005: Comparative Effectiveness of Rivaroxaban versus Warfarin for the Treatment of Patients with Non-valvular Atrial Fibrillation

Circulation ◽

10.1161/circ.133.suppl_1.p005 ◽

2016 ◽

Vol 133 (suppl_1) ◽

Author(s):

Faye L Norby ◽

Lindsay G Bengtson ◽

Lin Y Chen ◽

Richard F MacLehose ◽

Pamela L Lutsey ◽

...

Keyword(s):

Atrial Fibrillation ◽

Ischemic Stroke ◽

Real World ◽

Proportional Hazards ◽

Large Population ◽

Population Based ◽

Cox Proportional Hazards ◽

Gi Bleeding ◽

Cox Proportional Hazards Models ◽

The Us

Background: Rivaroxaban is a novel oral anticoagulant approved in the US in 2011 for prevention of stroke and systemic embolism in patients with non-valvular atrial fibrillation (NVAF). Information on risks and benefits among rivaroxaban users in real-world populations is limited. Methods: We used data from the US MarketScan Commercial and Medicare Supplemental databases between 2010 and 2013. We selected patients with a history of NVAF and initiating rivaroxaban or warfarin. Rivaroxaban users were matched with up to 5 warfarin users by age, sex, database enrollment date and drug initiation date. Ischemic stroke, intracranial bleeding (ICB), myocardial infarction (MI), and gastrointestinal (GI) bleeding outcomes were defined by ICD-9-CM codes in an inpatient claim after drug initiation date. Cox proportional hazards models were used to assess the association between rivaroxaban vs. warfarin use and outcomes adjusting for age, sex, and CHA2DS2-VASc score. Separate models were used to compare a) new rivaroxaban users with new warfarin users, and b) switchers from warfarin to rivaroxaban to continuous warfarin users. Results: Our analysis included 34,998 rivaroxaban users matched to 102,480 warfarin users with NVAF (39% female, mean age 71), in which 487 ischemic strokes, 179 ICB, 647 MI, and 1353 GI bleeds were identified during a mean follow-up of 9 months. Associations of rivaroxaban vs warfarin were similar in new users and switchers; therefore we pooled both analyses. Rivaroxaban users had lower rates of ICB (hazard ratio (HR) (95% confidence interval (CI)) = 0.72 (0.46, 1.12))) and ischemic stroke (HR (95% CI) = 0.88 (0.68, 1.13)), but higher rates of GI bleeding (HR (95% CI) = 1.15 (1.01, 1.33)) when compared to warfarin users (table). Conclusion: In this large population-based study of NVAF patients, rivaroxaban users had a non-significant lower risk of ICB and ischemic stroke than warfarin users, but a higher risk of GI bleeding. These real-world findings are comparable to results reported in published clinical trials.

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Platelet Indices and Risk of Death and Cardiovascular Events: Results from a Large Population-Based Cohort Study

Thrombosis and Haemostasis ◽

10.1055/s-0039-1694969 ◽

2019 ◽

Vol 119 (11) ◽

pp. 1773-1784 ◽

Cited By ~ 4

Author(s):

Giuseppe Patti ◽

Giuseppe Di Martino ◽

Fabrizio Ricci ◽

Giulia Renda ◽

Sabina Gallina ◽

...

Keyword(s):

Platelet Count ◽

Ischemic Stroke ◽

Adverse Events ◽

Large Population ◽

Previous History ◽

Population Based ◽

Platelet Indices ◽

Risk Of Death ◽

Previous Stroke ◽

History Of

AbstractStudies evaluating the relationship between platelet indices and cardiovascular (CV) outcomes yielded conflicting results. We assessed the incidence of adverse events according to baseline quintiles of platelet indices in the prospective cohort of the Malmö Diet and Cancer Study. A total of 30,314 individuals (age 57 ± 8 years) were followed for a median of 16 years (468,490 person-years). Outcome measures included all-cause death, CV death, myocardial infarction (MI), and ischemic stroke. The fifth quintile of platelet count (> 274.6 × 109/L) was associated with higher incidence of all-cause death (hazard ratio [HR] 1.20, 95% confidence interval [CI] 1.09–1.32, p < 0.001), CV death (HR 1.19, 95% CI 1.00–1.42; p = 0.044), MI (HR 1.32, 95% CI 1.12–1.54; p = 0.001), and ischemic stroke (HR 1.27, 95% CI 1.08–1.50, p = 0.004) compared with the first quintile (≤ 185 × 109/L), and also associated with a lower survival, regardless of previous history of MI (p for interaction = 0.58) or stroke (p for interaction = 0.42). In the highest quintile, history of stroke had a higher risk of CV death (HR 3.18, 95% CI 1.54–6.54) compared with no previous stroke (HR 1.12, 95% CI 0.96–1.31). The risk of MI and stroke was greatest in the fifth quintile, regardless of previous MI or previous stroke, respectively. The risk of all adverse events was similar across different quintiles of mean platelet volume. In conclusion, elevated platelet count is associated with higher mortality and risk of CV events, regardless of previous MI and stroke. Platelet count may thus be a useful marker for further stratification of CV risk, and especially of death.

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THUR 121 Identifying participants with parkinson’s disease in uk biobank

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2018-abn.48 ◽

2018 ◽

Vol 89 (10) ◽

pp. A13.2-A13

Author(s):

Bush Kathryn ◽

Rannikmae Kristiina ◽

Schnier Christian ◽

Wilkinson Timothy ◽

Nolan John ◽

...

Keyword(s):

Primary Care ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Secondary Care ◽

Large Population ◽

Free Text ◽

Uk Biobank ◽

Predictive Values ◽

Diagnostic Codes ◽

The Uk

BackgroundLinkage to routinely collected NHS data from primary, secondary care and death certificates enables identification of participants with Parkinson’s Disease (PD) within the UK Biobank cohort of 5 00 000 adults. Validation of the accuracy of this data is required prior to their use in research studies.MethodIn this validation study participants (n=125) with a code indicating PD were identified from a sample of 17 000 participants in the cohort. Diagnoses were validated by expert adjudicators, based on free text electronic medical records. Positive predictive values (PPV,% of cases identified that are true cases) were calculated.ResultsPrimary care diagnostic codes identified 93% of PD cases, with a PPV of 95%. Combined secondary care and death data identified 42% of PD cases with a PPV of 84%.Combining diagnostic and medication codes identified more participants, but did not increase the PPV.ConclusionsThis study suggests that linkage to routinely collected healthcare data is a reliable method for identifying participants with PD in the UK Biobank cohort.Primary care diagnostic codes identified the highest proportion of participants and had the highest PPV, demonstrating the value of using primary care data to identify cases of disease in large population based cohort studies.

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Comparison of prognostic models to predict the occurrence of colorectal cancer in asymptomatic individuals: a systematic literature review and external validation in the EPIC and UK Biobank prospective cohort studies

Gut ◽

10.1136/gutjnl-2017-315730 ◽

2018 ◽

Vol 68 (4) ◽

pp. 672-683 ◽

Cited By ~ 6

Author(s):

Todd Smith ◽

David C Muller ◽

Karel G M Moons ◽

Amanda J Cross ◽

Mattias Johansson ◽

...

Keyword(s):

Colorectal Cancer ◽

Systematic Review ◽

Prediction Models ◽

Large Population ◽

External Validation ◽

Population Based ◽

Prognostic Models ◽

Uk Biobank ◽

Asymptomatic Individuals ◽

The Uk

ObjectiveTo systematically identify and validate published colorectal cancer risk prediction models that do not require invasive testing in two large population-based prospective cohorts.DesignModels were identified through an update of a published systematic review and validated in the European Prospective Investigation into Cancer and Nutrition (EPIC) and the UK Biobank. The performance of the models to predict the occurrence of colorectal cancer within 5 or 10 years after study enrolment was assessed by discrimination (C-statistic) and calibration (plots of observed vs predicted probability).ResultsThe systematic review and its update identified 16 models from 8 publications (8 colorectal, 5 colon and 3 rectal). The number of participants included in each model validation ranged from 41 587 to 396 515, and the number of cases ranged from 115 to 1781. Eligible and ineligible participants across the models were largely comparable. Calibration of the models, where assessable, was very good and further improved by recalibration. The C-statistics of the models were largely similar between validation cohorts with the highest values achieved being 0.70 (95% CI 0.68 to 0.72) in the UK Biobank and 0.71 (95% CI 0.67 to 0.74) in EPIC.ConclusionSeveral of these non-invasive models exhibited good calibration and discrimination within both external validation populations and are therefore potentially suitable candidates for the facilitation of risk stratification in population-based colorectal screening programmes. Future work should both evaluate this potential, through modelling and impact studies, and ascertain if further enhancement in their performance can be obtained.

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First-ever ischemic stroke and increased risk of incident heart disease in older adults

Neurology ◽

10.1212/wnl.0000000000009234 ◽

2020 ◽

Vol 94 (15) ◽

pp. e1559-e1570 ◽

Cited By ~ 4

Author(s):

Luciano A. Sposato ◽

Melody Lam ◽

Britney Allen ◽

Lucie Richard ◽

Salimah Z. Shariff ◽

...

Keyword(s):

Heart Disease ◽

Ischemic Stroke ◽

Coronary Artery ◽

Cox Regression ◽

Large Population ◽

Population Based ◽

Cardiac Complications ◽

Comorbid Conditions ◽

Increased Risk ◽

Shared Risk

ObjectivePoststroke cardiac complications are common. It is unknown whether the reason is shared risk factors and preexisting heart disease or stroke-associated myocardial and coronary injury. We tested the hypothesis that first-ever ischemic stroke is associated with increased risk of incident cardiovascular complications in patients without known preexisting cardiac comorbid conditions.MethodsThis population-based cohort study included residents in Ontario between 2002 and 2012 who were ≥66 years of age without known cardiovascular disease. We compared the incident risk of major adverse cardiovascular events (MACE), defined as myocardial infarction, unstable angina, congestive heart failure, coronary artery disease, coronary artery revascularization, or cardiovascular death, at 1 year in patients with first-ever ischemic stroke vs propensity-matched individuals without stroke (4:1 matching using 31 variables). To estimate cause-specific hazard ratios (HRs), we used Cox regression models adjusted for variables with weighted standardized differences >0.10 or known to influence the risk of MACE.ResultsWe included 21,931 patients with first-ever ischemic stroke and 71,696 propensity-matched individuals, well balanced on all variables used for propensity matching. First-ever ischemic stroke was associated with increased unadjusted incident MACE risk (HR 4.5, 95% confidence interval [CI] 4.3–4.8). MACE adjusted risk was highest in the first 30 days (HR 25.0, 95% CI 20.5–30.5) and declined both at 31 to 90 days (HR 4.8, 95% CI 4.1–5.7) and at 91 to 365 days (HR 2.2, 95% CI 2.0–2.4).ConclusionsIn this large population-based study, ischemic stroke was independently associated with increased risk of incident MACE. Whether this association is explained by stroke-associated cardiac injury, preexisting subclinical cardiovascular comorbid conditions, or both remains unknown.

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