Literature DB >> 22021893

UK stroke incidence, mortality and cardiovascular risk management 1999-2008: time-trend analysis from the General Practice Research Database.

Sally Lee1, Anna C E Shafe, Martin R Cowie.   

Abstract

OBJECTIVES: Stroke is a major cause of morbidity and mortality. This study aimed to investigate secular trends in stroke across the UK.
DESIGN: This study aimed to investigate recent trends in the epidemiology of stroke in the UK. The study was a time-trend analysis from 1999 to 2008 within the UK General Practice Research Database. Outcome measures were incidence and prevalence of stroke, stroke mortality, rate of secondary cardiovascular events, and prescribing of pharmacological therapy for primary and secondary prevention of cardiovascular disease.
RESULTS: The study cohort included 32,151 patients with a first stroke. Stroke incidence fell by 30%, from 1.48/1000 person-years in 1999 to 1.04/1000 person-years in 2008 (p<0.001). Stroke prevalence increased by 12.5%, from 6.40/1000 in 1999 to 7.20/1000 in 2008 (p<0.001). 56-day mortality after first stroke reduced from 21% in 1999 to 12% in 2008 (p<0.0001). Prescribing of drugs to control cardiovascular risk factors increased consistently over the study period, particularly for lipid lowering agents and antihypertensive agents. In patients with atrial fibrillation, use of anticoagulants prior to first stroke did not increase with increasing stroke risk.
CONCLUSION: Stroke incidence in the UK has decreased and survival after stroke has improved in the past 10 years. Improved drug treatment in primary care is likely to be a major contributor to this, with better control of risk factors both before and after incident stroke. There is, however, scope for further improvement in risk factor reduction in high-risk patients with atrial fibrillation.

Entities:  

Year:  2011        PMID: 22021893      PMCID: PMC3211058          DOI: 10.1136/bmjopen-2011-000269

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Background

Stroke is a major cause of morbidity and mortality in the UK. Around 110 000 strokes occur in England each year,1 with recent studies reporting an incidence of between 1.36/1000/year2 and 1.62/1000/year in 2002–2004.3 A study in the Scottish Borders reported a higher crude incidence rate of 2.8/1000/year, which was attributed to the higher proportion of elderly subjects in the population.4 Although deaths from stroke have fallen in the UK over the past 40 years,5–7 stroke accounted for around 46 500 deaths in England and Wales in 2008 (9% of all deaths).8 Current UK health policy places great emphasis on reducing strokes.9–11 Key to this is the need for better management of vascular risk factors, including hypertension, obesity, high cholesterol, atrial fibrillation and diabetes.6 11 In 2008, NHS Health Check (formerly called the Vascular Check Programme) was introduced to identify and manage vascular risk.12 More recently, NHS Improvement has identified atrial fibrillation in primary care as a priority area for the health service for 2010/11.13 From a public health perspective, it is important to determine whether national policies and preventive strategies are having an effect on stroke epidemiology. Perhaps the best data on trends in stroke come from the Oxfordshire region where data from two studies—the Oxford Community Stroke Project (1981–1984) and the Oxford Vascular Study (2002–2004)—were compared.3 The results suggested a decline in the incidence of stroke (p=0.0002) in association with increased use of preventive treatments and reduction in risk factors. There has been no study looking at trends in stroke across the UK. We report an analysis of the General Practice Research Database (GPRD) used to investigate trends in the burden of stroke between 1999 and 2008.

Design

Objectives

The objectives of this study were (1) to investigate recent trends in the epidemiology of stroke in the UK, including risk factors associated with first and second strokes, and pharmacological therapies prescribed before and following a first stroke, and (2) to examine the trend in stroke fatality and the occurrence of a second stroke following survival of a first stroke.

Data source

The GPRD is a database of longitudinal patient primary care records, containing anonymised data on demographics, diagnoses, referrals, prescribing and health outcomes for patients from almost 500 general practitioner (GP) practices in the UK (over 3 million patients). The database covers approximately 6% of UK patients, and the geographical distribution is representative of the UK population.14 Validation studies have confirmed the high data quality and completeness of clinical records within the GPRD.15–17 A recent systematic literature review of studies using the GPRD reported that the median proportion of diagnoses correctly coded was 89%.17

Population

We identified patients aged 18 years and older who had a first stroke between 1999 and 2008. Stroke events were identified by a diagnosis for stroke within the patient record. The Read codes used by GPs to enter a stroke into a patient record do not necessarily specify the type of stroke, so we were not able to distinguish between ischaemic and haemorrhagic strokes. The codes used are shown in the online supplementary material. Stroke codes used were those which described acute stroke events only—any codes for monitoring or stroke rehabilitation were excluded to ensure that we correctly identified the initial stroke event and did not record follow-up of the same stroke as a secondary stroke event. We excluded patients if they had any coded cardiovascular disease event (including coronary heart disease or peripheral vascular disease) recorded prior to stroke, except patients with a record of transient ischaemic attack.

Analysis

Data were extracted using the GPRD GOLD online version and analysed using SAS V.9.02. The incidence and prevalence of stroke were calculated based on our stroke cohort and the total study population extracted from GPRD. Co-morbidities were identified using Read codes (see online supplementary material). In addition to coded diagnosis, a blood pressure result above 160/100 mm Hg was defined as hypertension and a cholesterol level above 5 mmol/l (193 mg/dl) was defined as hypercholesterolaemia. Pharmacological therapies prescribed in the year before the first stroke were recorded. We assumed that patients were treated with a medication if they received at least two prescriptions for that medication in the year prior to first stroke. For follow-up, patient data were available from the time of first stroke until the end of the study period or when the patient transferred out of the practice or died. Stroke events were considered fatal if patients had a death coded in their GP record within 56 days of the stroke. This timescale was used to allow for any delay between the death occurring and the GP receiving notification of the death and entering it into their coding system. Second cardiovascular disease events were defined as a second stroke or other cardiovascular disease event (coronary heart disease or peripheral vascular disease event) occurring more than 56 days after a first stroke. A life table survival analysis was carried out, with an event defined as either a second cardiovascular event or death. Patients were censored if they transferred out of the practice or reached the end of the study period. We examined trends in the proportion of patients treated with different classes of pharmacological agents in the year before and after first stroke between 1999 and 2008. For patients with GP-coded atrial fibrillation (AF) prior to first stroke, we calculated CHADS2 scores9 and recorded use of anticoagulants and antiplatelet drugs for patients by CHADS2 score in the year prior to and after first stroke.

Results

Between 1999 and 2008, first strokes were recorded in 32 151 patients with no previous recorded cardiovascular event. Over this period, stroke incidence fell by 30%, from 1.48/1000 person-years in 1999 to 1.04/1000 person-years in 2008 (p<0.001). In patients aged 80 years and over (the group at highest risk), incidence fell by 42% from 18.97 to 10.97/1000 person-years (p<0.001). Prevalence of stroke increased by 12.5% over the same period from 6.4/1000 persons to 7.2/1000 persons (p<0.001) (figure 1).
Figure 1

Incidence (A) and prevalence (B) of stroke in the UK adult population by age group.

Incidence (A) and prevalence (B) of stroke in the UK adult population by age group. Table 1 shows the baseline characteristics of the cohort. The average age at first stroke was 77 years in women and 71 years in men. The most commonly coded stroke risk factor was hypertension, recorded in 65% of patients. In addition, 12% of patients were coded as diabetic, and 11% had coded AF.
Table 1

Baseline characteristics of the General Practice Research Database stroke cohort

Male (n=14 359)
Female (n=17 792)
Total (n=32 151)
n%99% CIn%99% CIn%99% CI
Demographic characteristics
 Mean (SD) age71.06 (12.7)(70.8 to 71.3)77.02 (13.0)(76.8 to 77.3)74.4 (13.2)(74.2 to 74.6)
 Mean (SD) BMI (n=23 856)26.52 (4.6)(26.4 to 26.6)26.16 (5.6)(26.1 to 26.3)26.3 (5.13)(26.2 to 26.4)
Risk factors prior to initial stroke
 Hypertension (GP diagnosed or >160/100 mm Hg)885161.6(60.6 to 62.7)12 10868.1(67.2 to 69.0)20 95965.2(64.5 to 65.9)
 Hypercholesterolaemia (GP diagnosed or cholesterol >5 mmol/l (193 mg/dl))573039.9(38.9 to 41.0)671037.7(36.8 to 38.7)12 44038.7(38.0 to 39.4)
 GP-coded diabetes mellitus187513.1(12.3 to 13.8)190910.7(10.1 to 11.3)378411.8(11.3 to 12.2)
 Smoking (ever)801555.8(54.7 to 56.9)621034.9(34.0 to 35.8)14 22544.2(43.5 to 45.0)
 GP-coded atrial fibrillation14119.8(9.2 to 10.5)207211.6(11.0 to 12.3)348310.8(10.4 to 11.3)
 GP-coded transient ischaemic attack8976.2(5.7 to 6.8)11116.2(5.8 to 6.7)20086.2(5.9 to 6.6)
Treatments in year prior to initial stroke (at least 2 prescriptions)
 Antihypertensives645344.9(43.9 to 46.0)964954.2(53.3 to 55.2)16 10250.1(49.4 to 50.8)
  ACE inhibitors and angiotensin receptor antagonists322622.5(21.6 to 23.4)384521.6(20.8 to 22.4)707122(21.4 to 22.6)
  β-Blockers225215.7(14.9 to 16.5)358120.1(19.4 to 20.9)583318.1(17.6 to 18.7)
  Calcium channel blockers234916.4(15.6 to 17.2)298816.8(16.1 to 17.5)533716.6(16.1 to 17.1)
  Diuretics336223.4(22.5 to 24.3)614234.5(33.6 to 35.4)950429.6(28.9 to 30.2)
 Anticoagulants7034.9(4.4 to 5.4)7874.4(4.0 to 4.8)14904.6(4.3 to 4.9)
 Antiplatelet drugs402928.1(27.1 to 29.0)547130.7(29.9 to 31.6)950029.5(28.9 to 30.2)
 Lipid regulating drugs200414(13.2 to 14.7)222112.5(11.8 to 13.1)422513.1(12.7 to 13.6)
Diabetes treatment
 Oral antidiabetic agents11938.3(7.7 to 8.9)11806.6(6.2 to 7.1)23737.4(7.0 to 7.8)
 Insulin3402.4(2.0 to 2.7)4172.3(2.1 to 2.6)7572.4(2.1 to 2.6)

BMI, body mass index; GP, general practitioner.

Baseline characteristics of the General Practice Research Database stroke cohort BMI, body mass index; GP, general practitioner. Fifteen per cent (4926/32 151) of first strokes were fatal (death coded within 56 days). Mortality was 18.6% (3301 of 17 792) in women and 11.3% (1625 of 14 359) in men. Age-adjusted to the 2008 UK population,10 the mortality difference was smaller but remained higher in women (6.8%) than men (5.5%) (p<0.001 for difference between genders). Crude mortality after incident stroke decreased from 21% in 1999 to 12% in 2008 (p<0.0001). This trend was seen in both men and women (figure 2).
Figure 2

Stroke mortality within 56 days of first stroke by age group.

Stroke mortality within 56 days of first stroke by age group. Five-year survival was 82% (11 774/14 359) in men and 81% (14 411/17 792) in women. Life table survival analysis showed that survival free of a second cardiovascular event (recurrent stroke or first CHD event) at 5 years was 74% (23 766/32 151) and similar in men and women. After first stroke, patients were at high risk of a recurrent event. Of patients followed up for 5 years, 24% (3316 of 13 599) had a second cardiovascular event; 75% of second events (2475) were strokes and 16% of these (385) were fatal within 56 days.

Stroke risk factors and management

Sixty-five per cent of patients (n=20 959) had hypertension. Of these, 67% were treated with antihypertensives in the year prior to stroke (69% of female and 64% of male patients). Prescription of treatment for cardiovascular risk reduction in the year prior to a first stroke increased over time (figure 3A). A similar trend was seen in prescriptions after the first stroke (figure 3B). By 2008, 96.6% of women and 97.4% of men with coded hypertension in the year after stroke were receiving antihypertensive therapy.
Figure 3

Pharmaceutical therapies prior to first stroke (A) and in the year following first stroke (B).

Pharmaceutical therapies prior to first stroke (A) and in the year following first stroke (B). Before first stroke, 38.7% of patients (n=12 440) had hypercholesterolaemia; 8.7% were treated with lipid lowering drugs in 1999, rising to 37.6% in 2008. Prescriptions for lipid lowering drugs after a first stroke also increased rapidly over the last 10 years (figure 3). Eleven per cent of patients (n=3483) had coded AF before their first stroke: 10% of male patients and 12% of female patients (table 1). These patients were older than the general stroke cohort. The average age in the AF group at the time of first stroke was 82 years for women and 77 years for men. Stroke mortality was higher in patients with coded AF than for the overall cohort: 27% of women and 19% of men with AF died within 56 days of their first stroke. For those over the age of 70 years, 56-day mortality after first stroke was 32% in men with coded AF compared with 23% in men without coded AF (p<0.001), and 36% in women with coded AF compared with 28% in women without coded AF (p<0.001). Women were at higher risk, with 59% having a CHADS2 score of 2 or above prior to first stroke compared with 42% of men. When we excluded age from the CHADS2 calculation, women still scored higher than men: 67% of women and 59% of men had a score of 1 or above, and 18% of women and 16% of men had a score of 2 or above. Of patients with coded AF, 25% (876) were prescribed anticoagulants before their stroke (22% of women and 29% of men). Anticoagulant prescribing did not increase with increasing CHADS2 score prior to stroke (figure 4). Antiplatelet therapy was prescribed to 52% of patients with coded AF (1796/3483) (54% of women and 47% of men) and prescribing increased steeply with increasing CHADS2 score.
Figure 4

Percentage of GP-coded AF patients treated with anticoagulant and antiplatelet therapy prior to stroke by CHADS2 score. AF, atrial fibrillation; GP, general practitioner.

Percentage of GP-coded AF patients treated with anticoagulant and antiplatelet therapy prior to stroke by CHADS2 score. AF, atrial fibrillation; GP, general practitioner. For patients with coded AF at the time of first stroke, anticoagulant prescribing increased from 22% prior to stroke to 35% after stroke for women, and from 29% to 48% for men (table 2). In patients aged 80 and older, anticoagulant prescribing increased from 18% to 23% in women and from 24% to 34% in men.
Table 2

Patients with GP-coded atrial fibrillation prior to first stroke

GP-coded atrial fibrillationMale
Female
Total
n%95% CIn%95% CIn%95% CI
Number of patients (% of cohort)14119.8207211.6348310.8
Baseline characteristics
 Mean (SD) age77.3 (9.8)(76.8 to 77.8)82.4 (8.7)(82.0 to 82.8)80.3 (9.5)(80.0 to 80.6)
CHADS2 score prior to initial stroke (% of AF patients)
 021715.4(13.5 to 17.3)1276.1(5.1 to 7.2)3449.9(8.9 to 10.9)
 160142.6(40.0 to 45.2)73035.2(33.2 to 37.3)133138.2(36.6 to 39.8)
 243030.5(28.1 to 32.9)87742.3(40.2 to 44.5)130737.5(35.9 to 39.1)
 31087.7(6.3 to 9.0)21310.3(9.0 to 11.6)3219.2(8.3 to 10.2)
 4493.5(2.5 to 4.4)1115.4(4.4 to 6.3)1604.6(3.9 to 5.3)
 560.4(0.1 to 0.8)140.7(0.3 to 1.0)200.6(0.3 to 0.8)
Treatments in year prior to initial stroke (at least 2 prescriptions) (% of AF patients)
 Anticoagulants41529.4(27.0 to 31.8)46122.2(20.5 to 24.0)87625.2(23.7 to 26.6)
 Antiplatelet drugs66847.3(44.7 to 49.9)112854.4(52.3 to 56.6)179651.6(49.9 to 53.2)
Follow-up
 Died within 56 days of initial stroke (% of AF patients)26418.7(16.7 to 20.7)55426.7(24.8 to 28.6)81823.5(22.1 to 24.9)
 Survived at least 56 days following initial stroke (% of AF patients)114781.3(79.3 to 83.3)151873.3(71.4 to 75.2)266576.5(75.1 to 77.9)
Treatments in year following initial stroke (at least 2 prescriptions) (% of patients who survived at least 56 days)
 Anticoagulants54547.5(44.9 to 50.1)52934.8(32.8 to 36.9)107440.3(38.7 to 41.9)
 Antiplatelet drugs56649.3(46.7 to 52)80653.1(50.9 to 55.2)137251.5(49.8 to 53.1)

AF, atrial fibrillation; GP, general practitioner.

Patients with GP-coded atrial fibrillation prior to first stroke AF, atrial fibrillation; GP, general practitioner.

Conclusion

Summary of main findings

Our study shows that the incidence of stroke in the UK fell by 29% between 1999 and 2008. The 56-day mortality after a first stroke fell by 43% between 1999 and 2008. Primary care management of cardiovascular risk has improved, with the majority of recorded hypertension being controlled prior to stroke, and a rapid increase in prescriptions for lipid lowering drugs to patients with diagnosed hypercholesterolaemia. However, there is a clear suggestion that risk stratification is not yet optimal, particularly in relation to patients with AF.

Comparison with existing literature

A fall in stroke incidence similar to that shown in our study has previously been reported in Oxfordshire3 and south London.18 Our findings are also in line with data from some other high-income countries, with Feigin et al reporting a 42% decrease in age-adjusted stroke incidence rates over 4 decades to 2008.19 The observed reduction in stroke incidence is likely to be related to better control of vascular risk factors both prior to and following a stroke. By the end of the study period, GPs were treating cardiovascular risk factors much more aggressively than in 1999. A previous study3 reported a trend to reduced incidence of stroke in association with increased use of preventive treatments and reduction in risk factors. Our data show improvement compared with a previous analysis of GPRD data (1997–2006) in which only 75% of patients with diagnosed hypertension were receiving antihypertensive therapy 90 days after incident stroke.20 In our study, 97% of patients with hypertension after stroke were receiving antihypertensive therapy. Improved primary care management of risk factors presumably reflects national initiatives to reduce cardiovascular disease. These include the Quality and Outcomes Framework whereby GPs in England are incentivised to improve intervention on cardiovascular risk factors. The increased level of prescribing seen in our study is in line with a national increase in the use of statins21 and improved treatment of hypertension.22 AF is an important risk factor for stroke, but recent reports have highlighted that it is both under-recognised and under-treated.21 23 Our study confirms that such individuals have a higher mortality risk after first stroke than patients in sinus rhythm. The CHADS2 scoring system24 is commonly used to assess stroke risk in patients with AF and help guide thromboprophylaxis. In our study, anticoagulant prescribing before stroke in patients with AF increased only slightly between 1999 and 2008. Use of anticoagulants appeared to be unrelated to the patient's CHADS2 score, as has been reported previously.25 There was a relatively high, and possibly inappropriate, level of anticoagulant prescribing in lower risk patients (those with a CHADS2 score of 0) and no increase in the use of anticoagulants with increasing stroke risk. The finding of high use of anticoagulants in AF patients at low risk of stroke has been reported previously in primary care in the UK.25 Contrary to data from a previous study using GPRD,25 we found that antiplatelet prescribing increased significantly with increasing CHADS2 score, indicating that GPs might be responding to increasing thromboembolic risk by prescribing an antiplatelet agent rather than an anticoagulant. Use of anticoagulants was lower in women than men despite women's higher CHADS2 scores. Women were older than men in the AF patient population and lower use of anticoagulants might reflect prescriber concerns that anticoagulants are more dangerous in the elderly. However, it has been shown that there is no significant difference in bleeding risk between warfarin and aspirin in patients aged over 75 years.26 The lower use of anticoagulants in women might also reflect findings from other areas of cardiovascular disease that women are treated less aggressively with drug therapy than men.27 28

Limitations of the study

We are reliant on the quality of GP coding in the GPRD dataset. There may be some coding error and misreporting of cardiovascular events and risk factors. The GPRD has quality criteria for practices involved in the data collection and we used data only from such ‘up-to-standard’ practices. A recent systematic review of the validity of diagnostic coding within GPRD reported high positive predictive values (>80%) for events such as myocardial infarction or stroke, but a lower value for AF (64.4%).16 Despite an observed difference in risk factors between men and women in our cohort, we are not able to evaluate gender difference in the risk of secondary stroke, due to the potential confounding factor of age; female patients were older than male patients. As the objectives of this study were purely descriptive, we did not make any adjustments for confounding factors. Further studies are needed to examine gender differences in stroke risk and prevention.

Implications for clinical practice

This is the first UK-wide study to investigate recent trends in stroke and it shows an encouraging reduction in the incidence of first stroke and improving survival. This is likely to be due (at least partially) to much better identification of vascular risk and the prescription of preventive therapies prior to, and after, stroke. Despite these positive findings, there are some areas where management appears to remain suboptimal. Women are less well treated than men, perhaps due to an age bias. Patients with AF, who do particularly poorly after stroke, do not appear to be appropriately risk stratified for anticoagulation therapy. Improved detection of AF and thromboprophylaxis in such patients should be a priority for healthcare systems.
  17 in total

1.  Validity of the general practice research database.

Authors:  Susan S Jick; James A Kaye; Catherine Vasilakis-Scaramozza; Luis A Garcia Rodríguez; Ana Ruigómez; Christoph R Meier; Raymond G Schlienger; Corri Black; Hershel Jick
Journal:  Pharmacotherapy       Date:  2003-05       Impact factor: 4.705

2.  Use of the UK General Practice Research Database for pharmacoepidemiology.

Authors:  L A García Rodríguez; S Pérez Gutthann
Journal:  Br J Clin Pharmacol       Date:  1998-05       Impact factor: 4.335

3.  Community-based stroke incidence in a Scottish population: the Scottish Borders Stroke Study.

Authors:  Paul D Syme; Anthony W Byrne; Ruoling Chen; Robert Devenny; John F Forbes
Journal:  Stroke       Date:  2005-08-04       Impact factor: 7.914

4.  Quantifying the contribution of leading causes of death to mortality decline among older people in England, 1991-2005.

Authors:  Charlotte Ashton; Madhavi Bajekal; Rosalind Raine
Journal:  Health Stat Q       Date:  2010

5.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

6.  Sex inequalities in ischaemic heart disease in general practice: cross sectional survey.

Authors:  J Hippisley-Cox; M Pringle; N Crown; A Meal; A Wynn
Journal:  BMJ       Date:  2001-04-07

Review 7.  Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review.

Authors:  Valery L Feigin; Carlene M M Lawes; Derrick A Bennett; Suzanne L Barker-Collo; Varsha Parag
Journal:  Lancet Neurol       Date:  2009-02-21       Impact factor: 44.182

8.  Initiation and persistence of warfarin or aspirin in patients with chronic atrial fibrillation in general practice: do the appropriate patients receive stroke prophylaxis?

Authors:  A M Gallagher; S Rietbrock; J Plumb; T P van Staa
Journal:  J Thromb Haemost       Date:  2008-06-28       Impact factor: 5.824

9.  Continued improvement in hypertension management in England: results from the Health Survey for England 2006.

Authors:  Emanuela Falaschetti; Moushumi Chaudhury; Jennifer Mindell; Neil Poulter
Journal:  Hypertension       Date:  2009-02-09       Impact factor: 10.190

10.  Change in stroke incidence, mortality, case-fatality, severity, and risk factors in Oxfordshire, UK from 1981 to 2004 (Oxford Vascular Study).

Authors:  P M Rothwell; A J Coull; M F Giles; S C Howard; L E Silver; L M Bull; S A Gutnikov; P Edwards; D Mant; C M Sackley; A Farmer; P A G Sandercock; M S Dennis; C P Warlow; J M Bamford; P Anslow
Journal:  Lancet       Date:  2004-06-12       Impact factor: 79.321

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  77 in total

1.  How primary care can help survivors of transient ischaemic attack and stroke return to work: focus groups with stakeholders from a UK community.

Authors:  Chantal Balasooriya-Smeekens; Andrew Bateman; Jonathan Mant; Anna De Simoni
Journal:  Br J Gen Pract       Date:  2020-03-26       Impact factor: 5.386

2.  Measuring the Effectiveness of Safety Warnings on the Risk of Stroke in Older Antipsychotic Users: A Nationwide Cohort Study in Two Large Electronic Medical Records Databases in the United Kingdom and Italy.

Authors:  Janet Sultana; Andrea Fontana; Francesco Giorgianni; Silvia Tillati; Claudio Cricelli; Alessandro Pasqua; Elisabetta Patorno; Clive Ballard; Miriam Sturkenboom; Gianluca Trifirò
Journal:  Drug Saf       Date:  2019-12       Impact factor: 5.606

3.  Sugar- and Artificially Sweetened Beverages and the Risks of Incident Stroke and Dementia: A Prospective Cohort Study.

Authors:  Matthew P Pase; Jayandra J Himali; Alexa S Beiser; Hugo J Aparicio; Claudia L Satizabal; Ramachandran S Vasan; Sudha Seshadri; Paul F Jacques
Journal:  Stroke       Date:  2017-05       Impact factor: 7.914

Review 4.  Prevention of Stroke by Antithrombotic Therapy in Patients with Atrial Fibrillation.

Authors:  Athanasios J Manolis; Leonidas E Poulimenos
Journal:  J Atr Fibrillation       Date:  2013-02-12

5.  Development of a patient-centred, patient-reported outcome measure (PROM) for post-stroke cognitive rehabilitation: qualitative interviews with stroke survivors to inform design and content.

Authors:  Emma L Patchick; Maria Horne; Kate Woodward-Nutt; Andy Vail; Audrey Bowen
Journal:  Health Expect       Date:  2014-12-05       Impact factor: 3.377

6.  An extended stroke rehabilitation service for people who have had a stroke: the EXTRAS RCT.

Authors:  Lisa Shaw; Nawaraj Bhattarai; Robin Cant; Avril Drummond; Gary A Ford; Anne Forster; Richard Francis; Katie Hills; Denise Howel; Anne Marie Laverty; Christopher McKevitt; Peter McMeekin; Christopher Price; Elaine Stamp; Eleanor Stevens; Luke Vale; Helen Rodgers
Journal:  Health Technol Assess       Date:  2020-05       Impact factor: 4.014

7.  The risk of cardiovascular disease in systemic sclerosis: a population-based cohort study.

Authors:  Ada Man; Yanyan Zhu; Yuqing Zhang; Maureen Dubreuil; Young Hee Rho; Christine Peloquin; Robert W Simms; Hyon K Choi
Journal:  Ann Rheum Dis       Date:  2012-08-17       Impact factor: 19.103

Review 8.  Prevention of stroke: a strategic global imperative.

Authors:  Valery L Feigin; Bo Norrving; Mary G George; Jennifer L Foltz; Gregory A Roth; George A Mensah
Journal:  Nat Rev Neurol       Date:  2016-07-22       Impact factor: 42.937

Review 9.  The challenge of antiplatelet therapy in patients with atrial fibrillation and heart failure.

Authors:  Yutao Guo; Gregory Y H Lip; Stavros Apostolakis
Journal:  J Cardiovasc Transl Res       Date:  2012-12-04       Impact factor: 4.132

10.  Trends in the incidence of hospitalized acute myocardial infarction and stroke in Korea, 2006-2010.

Authors:  Rock Bum Kim; Byoung-Gwon Kim; Yu-Mi Kim; Jeong Wook Seo; Young Shil Lim; Hee Sook Kim; Hey Jean Lee; Ji Young Moon; Keon Yeop Kim; Ji-Yeon Shin; Hyeung-Keun Park; Jung-Kook Song; Ki-Soo Park; Baek Geun Jeong; Chan Gyeong Park; Hee-Young Shin; Jong-Won Kang; Gyung-Jae Oh; Young-Hoon Lee; In-Whan Seong; Weon-Seob Yoo; Young-Seoub Hong
Journal:  J Korean Med Sci       Date:  2013-01-08       Impact factor: 2.153

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