Derivation and validation of QStroke score for predicting risk of ischaemic stroke in primary care and comparison with other risk scores: a prospective open cohort study

被引:100
|
作者
Hippisley-Cox, Julia [1 ]
Coupland, Carol [1 ]
Brindle, Peter [2 ]
机构
[1] Div Primary Care, Nottingham NG2 7RD, England
[2] Avon Primary Care Res Collaborat, Bristol Clin Commissioning Grp, Bristol BS1 3NX, Avon, England
来源
关键词
WALES PROSPECTIVE DERIVATION; CARDIOVASCULAR-DISEASE; EXTERNAL VALIDATION; ATRIAL-FIBRILLATION; UNITED-KINGDOM; STRATIFICATION SCHEMES; 10-YEAR RISK; THROMBOEMBOLISM; ENGLAND; QRISK;
D O I
10.1136/bmj.f2573
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective To develop and validate a risk algorithm (QStroke) to estimate risk of stroke or transient ischaemic attack in patients without prior stroke or transient ischaemic attack at baseline; to compare (a) QStroke with CHADS(2) and CHA(2)DS(2)VASc scores in patients with atrial fibrillation and (b) the performance of QStroke with the Framingham stroke score in the full population free of stroke or transient ischaemic attack. Design Prospective open cohort study using routinely collected data from general practice during the study period 1 January 1998 to 1 August 2012. Setting 451 general practices in England and Wales contributing to the national QResearch database to develop the algorithm and 225 different QResearch practices to validate the algorithm. Participants 3.5 million patients aged 25-84 years with 24.8 million person years in the derivation cohort who experienced 77 578 stroke events. For the validation cohort, we identified 1.9 million patients aged 25-84 years with 12.7 million person years who experienced 38 404 stroke events. We excluded patients with a prior diagnosis of stroke or transient ischaemic attack and those prescribed oral anticoagulants at study entry. Main outcome measures Incident diagnosis of stroke or transient ischaemic attack recorded in general practice records or linked death certificates during follow-up. Risk factors Self assigned ethnicity, age, sex, smoking status, systolic blood pressure, ratio of total serum cholesterol to high density lipoprotein cholesterol concentrations, body mass index, family history of coronary heart disease in first degree relative under 60 years, Townsend deprivation score, treated hypertension, type 1 diabetes, type 2 diabetes, renal disease, rheumatoid arthritis, coronary heart disease, congestive cardiac failure, valvular heart disease, and atrial fibrillation Results The QStroke algorithm explained 57% of the variation in women and 55% in men without a prior stroke. The D statistic for QStroke was 2.4 in women and 2.3 in men. QStroke had improved performance on all measures of discrimination and calibration compared with the Framingham score in patients without a prior stroke. Among patients with atrial fibrillation, levels of discrimination were lower, but QStroke had some improved performance on all measures of discrimination compared with CHADS2 and CHA2DS2VASc. Conclusion QStroke provides a valid measure of absolute stroke risk in the general population of patients free of stroke or transient ischaemic attack as shown by its performance in a separate validation cohort. QStroke also shows some improvement on current risk scoring methods, CHADS2 and CHA2DS2VASc, for the subset of patients with atrial fibrillation for whom anticoagulation may be required. Further research is needed to evaluate the cost effectiveness of using these algorithms in primary care.
引用
收藏
页数:15
相关论文
共 50 条
  • [11] Derivation and validation of a risk score predicting risk of early-onset peritonitis among patients initializing peritoneal dialysis: A cohort study
    Ma, Shuang
    Cai, Yamei
    Wang, Zheng
    Zhao, Zhanzheng
    Xiao, Jing
    Yu, Dahai
    INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 99 : 301 - 306
  • [12] Predicting Risk of Perioperative Death and Stroke After Carotid Endarterectomy in Asymptomatic Patients Derivation and Validation of a Clinical Risk Score
    Calvillo-King, Linda
    Xuan, Lei
    Zhang, Song
    Tuhrim, Stanley
    Halm, Ethan A.
    STROKE, 2010, 41 (12) : 2786 - 2794
  • [13] Detecting Risk Of Postural hypotension (DROP): derivation and validation of a prediction score for primary care
    Clark, Christopher Elles
    Thomas, Daniel
    Warren, Fiona C.
    Llewellyn, David J.
    Ferrucci, Luigi
    Campbell, John L.
    BMJ OPEN, 2018, 8 (04):
  • [14] Prospective validation of Canadian TIA Score and comparison with ABCD2 and ABCD2i for subsequent stroke risk after transient ischaemic attack: multicentre prospective cohort study
    Perry, Jeffrey J.
    Sivilotti, Marco L. A.
    Emond, Marcel
    Stiell, Ian G.
    Stotts, Grant
    Lee, Jacques
    Worster, Andrew
    Morris, Judy
    Cheung, Ka Wai
    Jin, Albert Y.
    Oczkowski, Wieslaw J.
    Sahlas, Demetrios J.
    Murray, Heather E.
    Mackey, Ariane
    Verreault, Steve
    Camden, Marie-Christine
    Yip, Samuel
    Teal, Philip
    Gladstone, David J.
    Boulos, Mark I.
    Chagnon, Nicolas
    Shouldice, Elizabeth
    Atzema, Clare
    Slaoui, Tarik
    Teitlebaum, Jeanne
    Abdulaziz, Kasim
    Nemnom, Marie-Joe
    Wells, George A.
    Sharma, Mukul
    BMJ-BRITISH MEDICAL JOURNAL, 2021, 372
  • [15] Predicting Mortality Among Hospitalized Patients With an Acute Ischemic Stroke: Derivation and Validation of a Clinical Risk Score
    Saposnik, Gustavo
    Kapral, Moira K.
    Tu, Jack
    Liu, Ying
    Hall, Ruth
    Austin, Peter
    Mamdani, Muhammad
    STROKE, 2010, 41 (04) : E220 - E221
  • [16] An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study
    Collins, Gary S.
    Altman, Douglas G.
    BMJ-BRITISH MEDICAL JOURNAL, 2010, 340 : 1231
  • [17] Derivation and External Validation of a Scoring System for Predicting Fracture Risk After Ischemic Stroke in a Canadian Cohort
    Smith, Eric E.
    Fang, Jiming
    Alibhai, Shabbir M.
    Cram, Peter
    Cheung, Angela M.
    Casaubon, Leanne K.
    Kapoor, Eshita
    Austin, Peter C.
    Kapral, Moira K.
    JAMA NEUROLOGY, 2019, 76 (08) : 925 - 931
  • [18] Validation of a genetic risk score for atrial fibrillation: A prospective multicenter cohort study
    Muse, Evan D.
    Wineinger, Nathan E.
    Spencer, Emily G.
    Peters, Melissa
    Henderson, Riley
    Zhang, Yunyue
    Barrett, Paddy M.
    Rivera, Steven P.
    Wohlgemuth, Jay G.
    Devlin, James J.
    Shiffman, Dov
    Topol, Eric J.
    PLOS MEDICINE, 2018, 15 (03):
  • [19] Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study
    Gupta, Shruti
    Glezerman, Ilya G.
    Hirsch, Jamie S.
    Chen, Kevin L.
    Devaraj, Nishant
    Wells, Sophia L.
    Seitter, Robert H.
    Kaunfer, Sarah A.
    Jose, Arunima M.
    Rao, Shreya P.
    Ortega, Jessica L.
    Green-Lingren, Olivia
    Hayden, Robert
    Bendapudi, Pavan K.
    Chute, Donald F.
    Sise, Meghan E.
    Jhaveri, Kenar
    Page, Valda
    Abramson, Matthew H.
    Motwani, Shveta S.
    Xu, Wenxin
    Sehgal, Kartik
    Reynolds, Kerry L.
    Bansal, Anip
    Abudayyeh, Ala
    Leaf, David E.
    BMJ-BRITISH MEDICAL JOURNAL, 2024, 384
  • [20] Risk of subsequent disabling or fatal stroke in patients with transient ischaemic attack or minor ischaemic stroke: an international, prospective cohort study
    Hobeanu, Cristina
    Lavallee, Philippa C.
    Charles, Hugo
    Labreuche, Julien
    Albers, Gregory W.
    Caplan, Louis R.
    Donnan, Geoffrey A.
    Ferro, Jose M.
    Hennerici, Michael G.
    Molina, Carlos A.
    Rothwell, Peter M.
    Steg, Philippe Gabriel
    Touboul, Pierre-Jean
    Uchiyama, Shinichiro
    Vicaut, Eric
    Wong, K. S. Lawrence
    Amarenco, Pierre
    LANCET NEUROLOGY, 2022, 21 (10): : 889 - 898