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  • Journal article
    Cecil E, Bottle A, Cowling TE, Majeed A, Wolfe I, Saxena Set al., 2016,

    , PEDIATRICS, Vol: 137, ISSN: 0031-4005
    • Cite
    • Citations: 68
  • Journal article
    Rost NS, Bottle A, Lee J-M, Randall M, Middleton S, Shaw L, Thijs V, Rinkel GJE, Hemmen TMet al., 2016,

    , Journal of the American Heart Association, Vol: 5, ISSN: 2047-9980

    Background Stroke is among the leading causes of morbidity and mortality worldwide. Without reliable prediction models and outcome measurements, comparison of care systems is impossible. We analyzed prospectively collected data from 4 countries to explore the importance of stroke severity in outcome prediction.Methods and Results For 2 months, all acute ischemic stroke patients from the hospitals participating in the Global Comparators Stroke GOAL (Global Outcomes Accelerated Learning) collaboration received a National Institutes of Health Stroke Scale (NIHSS) score on admission and a modified Rankin Scale score at 30 and 90 days. These data were added to the administrative data set, and risk prediction models including age, sex, comorbidity index, and NIHSS were derived for in鈥恏ospital death within 7 days, all in鈥恏ospital death, and death and good outcome at 30 and 90 days. The relative importance of each variable was assessed using the proportion of explained variation. Of 1034 admissions for acute ischemic stroke, 614 had a full set of NIHSS and both modified Rankin Scale values recorded; of these, 507 patients could be linked to administrative data. The marginal proportion of explained variation was 0.7% to 4.0% for comorbidity index, and 11.3 to 25.0 for NIHSS score. The percentage explained by the model varied by outcome (16.6–29.1%) and was highest for good outcome at 30 and 90 days. There was high agreement between 30鈥 and 90鈥恉ay modified Rankin Scale scores (weighted κ=0.82).Conclusions In this prospective pilot study, the baseline NIHSS score was essential for prediction of acute ischemic stroke outcomes, followed by age; whereas traditional comorbidity index contributed little to the overall model. Future studies of stroke outcomes between different care systems will benefit from including a baseline NIHSS score.
  • Journal article
    Bouras G, Burns EM, Howell A, Bottle R, Athanasiou T, darzi Aet al., 2015,

    , PLOS One, ISSN: 1932-6203
  • Journal article
    Aylin PP, Ruiz M, Bottle A, 2016,

    Exploring the impact of Consultants’ experience on hospital mortality by day of the week: a retrospective analysis of hospital episode statistics

    , BMJ Quality & Safety, ISSN: 2044-5423
  • Journal article
    Gaudoin R, Montana G, Jones S, Aylin P, Bottle Aet al., 2015,

    , HEALTH CARE MANAGEMENT SCIENCE, Vol: 18, Pages: 156-165, ISSN: 1386-9620
  • Journal article
    Aylin PP, Bottle RA, Ruiz M,

    Global Comparators Project: International comparison of 30-day In-hospital mortality by day of the week.

    , BMJ Quality & Safety, ISSN: 2044-5423
  • Conference paper
    Byrne B, Aylin P, Bottle R, Faiz O, Darzi A, Vincent Cet al., 2015,

    Lack of engagement in surgical quality improvement research is associated with poorer quality of care.

    , Digestive Disorders Federation
  • Conference paper
    Byrne B, Aylin P, Bottle RA, Faiz OD, Darzi A, Vincent CAet al., 2015,

    Failure to engage in surgical quality improvement research is associated with poorer quality of care

    , Royal Society of Medicine, Coloproctology section: Overseas meeting in Leuven
  • Journal article
    Nouraei SAR, Middleton SE, Hudovsky A, Branford OA, Lau C, Clarke PM, Wood SH, Aylin P, Mace A, Jallali N, Darzi Aet al., 2015,

    , JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, Vol: 68, Pages: 469-478, ISSN: 1748-6815
    • Cite
    • Citations: 18
  • Journal article
    Bottle A, Aylin P, Loeffler M, 2014,

    , BONE & JOINT JOURNAL, Vol: 96B, Pages: 1663-1668, ISSN: 2049-4394
    • Cite
    • Citations: 12

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