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  1. Article ; Online: Incidence, Prevalence, and Health Care Outcomes in Idiopathic Intracranial Hypertension: A Population Study.

    Miah, Latif / Strafford, Huw / Fonferko-Shadrach, Beata / Hollinghurst, Joe / Sawhney, Inder M S / Hadjikoutis, Savvas / Rees, Mark I / Powell, Rob / Lacey, Arron / Pickrell, William O

    Neurology

    2021  Volume 96, Issue 8, Page(s) e1251–e1261

    Abstract: Objective: To characterize trends in incidence, prevalence, and health care outcomes in the idiopathic intracranial hypertension (IIH) population in Wales using routinely collected health care data.: Methods: We used and validated primary and ... ...

    Abstract Objective: To characterize trends in incidence, prevalence, and health care outcomes in the idiopathic intracranial hypertension (IIH) population in Wales using routinely collected health care data.
    Methods: We used and validated primary and secondary care IIH diagnosis codes within the Secure Anonymised Information Linkage databank to ascertain IIH cases and controls in a retrospective cohort study between 2003 and 2017. We recorded body mass index (BMI), deprivation quintile, CSF diversion surgery, and unscheduled hospital admissions in case and control cohorts.
    Results: We analyzed 35 million patient-years of data. There were 1,765 cases of IIH in 2017 (85% female). The prevalence and incidence of IIH in 2017 was 76/100,000 and 7.8/100,000/y, a significant increase from 2003 (corresponding figures = 12/100,000 and 2.3/100,000/y) (
    Conclusions: IIH incidence and prevalence is increasing considerably, corresponding to population increases in BMI, and is associated with increased deprivation. This has important implications for health care professionals and policy makers given the comorbidities, complications, and increased health care utilization associated with IIH.
    Language English
    Publishing date 2021-02-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 207147-2
    ISSN 1526-632X ; 0028-3878
    ISSN (online) 1526-632X
    ISSN 0028-3878
    DOI 10.1212/WNL.0000000000011463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    ab Jg. 2022: Lesesaal (EG)
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    Zs.MO 374: Show issues

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  2. Article ; Online: Early onset cerebral amyloid angiopathy following childhood exposure to cadaveric dura.

    Banerjee, Gargi / Adams, Matthew E / Jaunmuktane, Zane / Alistair Lammie, G / Turner, Ben / Wani, Mushtaq / Sawhney, Inder M S / Houlden, Henry / Mead, Simon / Brandner, Sebastian / Werring, David J

    Annals of neurology

    2019  Volume 85, Issue 2, Page(s) 284–290

    Abstract: Amyloid-β transmission has been described in patients both with and without iatrogenic Creutzfeldt-Jakob disease; however, there is little information regarding the clinical impact of this acquired amyloid-β pathology during life. Here, for the first ... ...

    Abstract Amyloid-β transmission has been described in patients both with and without iatrogenic Creutzfeldt-Jakob disease; however, there is little information regarding the clinical impact of this acquired amyloid-β pathology during life. Here, for the first time, we describe in detail the clinical and neuroimaging findings in 3 patients with early onset symptomatic amyloid-β cerebral amyloid angiopathy following childhood exposure to cadaveric dura (by neurosurgical grafting in 2 patients and tumor embolization in a third). Our observations provide further in vivo evidence that cerebral amyloid angiopathy might be caused by transmission of amyloid-β seeds (prions) present in cadaveric dura and have diagnostic relevance for younger patients presenting with suspected cerebral amyloid angiopathy. Ann Neurol 2019; 1-7 ANN NEUROL 2019;85:284-290.
    MeSH term(s) Adult ; Age of Onset ; Amyloid beta-Peptides/metabolism ; Cadaver ; Cancer Survivors ; Cerebral Amyloid Angiopathy/diagnostic imaging ; Cerebral Amyloid Angiopathy/metabolism ; Cerebral Amyloid Angiopathy/pathology ; Cerebral Amyloid Angiopathy/physiopathology ; Craniotomy ; Dura Mater/metabolism ; Dura Mater/transplantation ; Embolization, Therapeutic ; Female ; Hemangioma, Cavernous, Central Nervous System/therapy ; Humans ; Iatrogenic Disease ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Papilloma, Choroid Plexus/surgery ; Parotid Neoplasms/therapy ; Skull Fractures/surgery
    Chemical Substances Amyloid beta-Peptides
    Language English
    Publishing date 2019-01-17
    Publishing country United States
    Document type Case Reports ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.25407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Validating epilepsy diagnoses in routinely collected data.

    Fonferko-Shadrach, Beata / Lacey, Arron S / White, Catharine P / Powell, H W Rob / Sawhney, Inder M S / Lyons, Ronan A / Smith, Phil E M / Kerr, Mike P / Rees, Mark I / Pickrell, W Owen

    Seizure

    2017  Volume 52, Page(s) 195–198

    Abstract: Purpose: Anonymised, routinely-collected healthcare data is increasingly being used for epilepsy research. We validated algorithms using general practitioner (GP) primary healthcare records to identify people with epilepsy from anonymised healthcare ... ...

    Abstract Purpose: Anonymised, routinely-collected healthcare data is increasingly being used for epilepsy research. We validated algorithms using general practitioner (GP) primary healthcare records to identify people with epilepsy from anonymised healthcare data within the Secure Anonymised Information Linkage (SAIL) databank in Wales, UK.
    Method: A reference population of 150 people with definite epilepsy and 150 people without epilepsy was ascertained from hospital records and linked to records contained within SAIL (containing GP records for 2.4 million people). We used three different algorithms, using combinations of GP epilepsy diagnosis and anti-epileptic drug (AED) prescription codes, to identify the reference population.
    Results: Combining diagnosis and AED prescription codes had a sensitivity of 84% (95% ci 77-90) and specificity of 98% (95-100) in identifying people with epilepsy; diagnosis codes alone had a sensitivity of 86% (80-91) and a specificity of 97% (92-99); and AED prescription codes alone achieved a sensitivity of 92% (70-83) and a specificity of 73% (65-80). Using AED codes only was more accurate in children achieving a sensitivity of 88% (75-95) and specificity of 98% (88-100).
    Conclusion: GP epilepsy diagnosis and AED prescription codes can be confidently used to identify people with epilepsy using anonymised healthcare records in Wales, UK.
    MeSH term(s) Adult ; Algorithms ; Anticonvulsants/therapeutic use ; Child ; Data Collection/methods ; Electronic Health Records/statistics & numerical data ; Epilepsy/diagnosis ; Epilepsy/drug therapy ; Epilepsy/epidemiology ; Female ; Humans ; Male ; Reproducibility of Results ; Wales/epidemiology
    Chemical Substances Anticonvulsants
    Language English
    Publishing date 2017-10-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 1137610-7
    ISSN 1532-2688 ; 1059-1311
    ISSN (online) 1532-2688
    ISSN 1059-1311
    DOI 10.1016/j.seizure.2017.10.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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