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1

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Klionsky, Daniel J ; Abdelmohsen, Kotb ; Abe, Akihisa ; [et al.]

Informa UK Limited ; 2016

In: Autophagy Vol. 12, No. 1 ( 2016-01-02), p. 1-222

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In: Autophagy, Informa UK Limited, Vol. 12, No. 1 ( 2016-01-02), p. 1-222

Type of Medium: Online Resource

ISSN: 1554-8627 , 1554-8635

URL: Article

DOI: 10.1080/15548627.2015.1100356

Language: English

Publisher: Informa UK Limited

Publication Date: 2016

detail.hit.zdb_id: 2262043-6

SSG: 12

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2

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Wide‐area measurement signal‐based stabiliser for large‐scale photovoltaic plants with high variability and uncertainty

Shah, Rakibuzzaman ; Mithulananthan, Nadarajah ; Lee, Kwang Y. ; [et al.]

Institution of Engineering and Technology (IET) ; 2013

In: IET Renewable Power Generation Vol. 7, No. 6 ( 2013-11), p. 614-622

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In: IET Renewable Power Generation, Institution of Engineering and Technology (IET), Vol. 7, No. 6 ( 2013-11), p. 614-622

Type of Medium: Online Resource

ISSN: 1752-1416 , 1752-1424

URL: Issue

URL: Article

DOI: 10.1049/rpg2.v7.6

DOI: 10.1049/iet-rpg.2013.0046

Language: English

Publisher: Institution of Engineering and Technology (IET)

Publication Date: 2013

detail.hit.zdb_id: 2264540-8

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3

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Process modelling of NHS cardiovascular waiting lists in response to the COVID-19 pandemic

Catsis, Salvador ; Champneys, Alan R ; Hoyle, Rebecca ; [et al.]

BMJ ; 2023

In: BMJ Open Vol. 13, No. 7 ( 2023-07), p. e065622-

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In: BMJ Open, BMJ, Vol. 13, No. 7 ( 2023-07), p. e065622-

Abstract: To model the referral, diagnostic and treatment pathway for cardiovascular disease (CVD) in the English National Health Service (NHS) to provide commissioners and managers with a methodology to optimise patient flow and reduce waiting lists. Study design A systems dynamics approach modelling the CVD healthcare system in England. The model is designed to capture current and predict future states of waiting lists. Setting Routinely collected, publicly available data streams of primary and secondary care, sourced from NHS Digital, NHS England, the Office of National Statistics and StatsWales. Data collection and extraction methods The data used to train and validate the model were routinely collected and publicly available data. It was extracted and implemented in the model using the PySD package in python. Results NHS cardiovascular waiting lists in England have increased by over 40% compared with pre- COVID-19 levels. The rise in waiting lists was primarily due to restrictions in referrals from primary care, creating a bottleneck postpandemic. Predictive models show increasing point capacities within the system may paradoxically worsen downstream flow. While there is no simple rate-limiting step, the intervention that would most improve patient flow would be to increase consultant outpatient appointments. Conclusions The increase in NHS CVD waiting lists in England can be captured using a systems dynamics approach, as can the future state of waiting lists in the presence of further shocks/interventions. It is important for those planning services to use such a systems-oriented approach because the feed-forward and feedback nature of patient flow through referral, diagnostics and treatment leads to counterintuitive effects of interventions designed to reduce waiting lists.

Type of Medium: Online Resource

ISSN: 2044-6055 , 2044-6055

URL: Article

DOI: 10.1136/bmjopen-2022-065622

DOI: 10.1136/bmjopen-2022-065622.supp1

Language: English

Publisher: BMJ

Publication Date: 2023

detail.hit.zdb_id: 2599832-8

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4

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Aortic stenosis post-COVID-19: a mathematical model on waiting lists and mortality

Stickels, Christian Philip ; Nadarajah, Ramesh ; Gale, Chris P ; [et al.]

BMJ ; 2022

In: BMJ Open Vol. 12, No. 6 ( 2022-06), p. e059309-

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In: BMJ Open, BMJ, Vol. 12, No. 6 ( 2022-06), p. e059309-

Abstract: To provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect National Health Service (NHS) England waiting list duration and associated mortality. Design We constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the strategies listed under Interventions may affect the time to clear the backlog of patients waiting for treatment and the associated waiting list mortality. Setting The NHS in England. Participants Estimated patients with AS in England. Interventions (1) Increasing the capacity for the treatment of severe AS, (2) converting proportions of cases from surgery to transcatheter aortic valve implantation and (3) a combination of these two. Results In a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (533–848) days with 1419 (597–2189) deaths while waiting during this time. A 20% capacity increase would require 535 (434–666) days, with an associated mortality of 1172 (466–1859). A combination of converting 40% cases and increasing capacity by 20% would clear the backlog within a year (343 (281–410) days) with 784 (292–1324) deaths while awaiting treatment. Conclusion A strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 ‘recovery’ period. However, plausible adaptations will still incur a substantial wait to treatment and many hundreds dying while waiting.

Type of Medium: Online Resource

ISSN: 2044-6055 , 2044-6055

URL: Article

DOI: 10.1136/bmjopen-2021-059309

Language: English

Publisher: BMJ

Publication Date: 2022

detail.hit.zdb_id: 2599832-8

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Prognosis, characteristics, and provision of care for patients with the unspecified heart failure electronic health record phenotype: a population-based linked cohort study of 95262 individuals

Nakao, Yoko M. ; Nakao, Kazuhiro ; Nadarajah, Ramesh ; [et al.]

Elsevier BV ; 2023

In: eClinicalMedicine Vol. 63 ( 2023-09), p. 102164-

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In: eClinicalMedicine, Elsevier BV, Vol. 63 ( 2023-09), p. 102164-

Type of Medium: Online Resource

ISSN: 2589-5370

URL: Article

DOI: 10.1016/j.eclinm.2023.102164

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2946413-4

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6

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Clinical and budget impacts of changes in oral anticoagulation prescribing for atrial fibrillation

Orlowski, Andi ; Gale, Chris P ; Ashton, Rachel ; [et al.]

BMJ ; 2021

In: Heart Vol. 107, No. 1 ( 2021-01), p. 47-53

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In: Heart, BMJ, Vol. 107, No. 1 ( 2021-01), p. 47-53

Abstract: To assess temporal clinical and budget impacts of changes in atrial fibrillation (AF)-related prescribing in England. Methods Data on AF prevalence, AF-related stroke incidence and prescribing for all National Health Service general practices, hospitals and registered patients with hospitalised AF-related stroke in England were obtained from national databases. Stroke care costs were based on published data. We compared changes in oral anticoagulation prescribing (warfarin or direct oral anticoagulants (DOACs)), incidence of hospitalised AF-related stroke, and associated overall and per-patient costs in the periods January 2011–June 2014 and July 2014–December 2017. Results Between 2011–2014 and 2014–2017, recipients of oral anticoagulation for AF increased by 86.5% from 1 381 170 to 2 575 669. The number of patients prescribed warfarin grew by 16.1% from 1 313 544 to 1 525 674 and those taking DOACs by 1452.7% from 67 626 to 1 049 995. Prescribed items increased by 5.9% for warfarin (95% CI 2.9% to 8.9%) but by 2004.8% for DOACs (95% CI 1848.8% to 2160.7%). Oral anticoagulation prescription cost rose overall by 781.2%, from £87 313 310 to £769 444 028, (£733,466,204 with warfarin monitoring) and per patient by 50.7%, from £293 to £442, giving an incremental cost of £149. Nevertheless, as AF-related stroke incidence fell by 11.3% (95% CI −11.5% to −11.1%) from 86 467 in 2011–2014 to 76 730 in 2014–2017 with adjustment for AF prevalence, the overall per-patient cost reduced from £1129 to £840, giving an incremental per-patient saving of £289. Conclusions Despite nearly one million additional DOAC prescriptions and substantial associated spending in the latter part of this study, the decline in AF-related stroke led to incremental savings at the national level.

Type of Medium: Online Resource

ISSN: 1355-6037 , 1468-201X

URL: Article

DOI: 10.1136/heartjnl-2020-317006

Language: English

Publisher: BMJ

Publication Date: 2021

detail.hit.zdb_id: 2378689-9

detail.hit.zdb_id: 1475501-4

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Risks and Benefits of Oral Anticoagulants for Stroke Prophylaxis in Atrial Fibrillation According to Body Mass Index: Nationwide Cohort Study of Primary Care Records in England

Nakao, Yoko M. ; Nakao, Kazuhiro ; Wu, Jianhua ; [et al.]

Elsevier BV ; 2022

In: SSRN Electronic Journal

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In: SSRN Electronic Journal, Elsevier BV

Type of Medium: Online Resource

ISSN: 1556-5068

URL: Article

DOI: 10.2139/ssrn.4106530

Language: English

Publisher: Elsevier BV

Publication Date: 2022

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8

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Conversion of Growing Rod to Final Fusion in Early Onset and Neuromuscular Scoliosis—Analysis of Radiographic Correction

Leong, Julian ; Balaji, Venkatesh ; Nadarajah, Ramesh ; [et al.]

Elsevier BV ; 2017

In: The Spine Journal Vol. 17, No. 11 ( 2017-11), p. S324-S325

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In: The Spine Journal, Elsevier BV, Vol. 17, No. 11 ( 2017-11), p. S324-S325

Type of Medium: Online Resource

ISSN: 1529-9430

URL: Article

DOI: 10.1016/j.spinee.2017.10.028

Language: English

Publisher: Elsevier BV

Publication Date: 2017

detail.hit.zdb_id: 2057875-1

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What is next for screening for undiagnosed atrial fibrillation? Artificial intelligence may hold the key

Nadarajah, Ramesh ; Wu, Jianhua ; Frangi, Alejandro F ; [et al.]

Oxford University Press (OUP) ; 2022

In: European Heart Journal - Quality of Care and Clinical Outcomes Vol. 8, No. 4 ( 2022-06-06), p. 391-397

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In: European Heart Journal - Quality of Care and Clinical Outcomes, Oxford University Press (OUP), Vol. 8, No. 4 ( 2022-06-06), p. 391-397

Abstract: Atrial fibrillation (AF) is increasingly common, though often undiagnosed, leaving many people untreated and at elevated risk of ischaemic stroke. Current European guidelines do not recommend systematic screening for AF, even though a number of studies have shown that periods of serial or continuous rhythm monitoring in older people in the general population increase detection of AF and the prescription of oral anticoagulation. This article discusses the conflicting results of two contemporary landmark trials, STROKESTOP and the LOOP, which provided the first evidence on whether screening for AF confers a benefit for people in terms of clinical outcomes. The benefit and efficiency of systematic screening for AF in the general population could be optimized by targeting screening to only those at higher risk of developing AF. For this purpose, evidence is emerging that prediction models developed using artificial intelligence in routinely collected electronic health records can provide strong discriminative performance for AF and increase detection rates when combined with rhythm monitoring in a clinical study. We consider future directions for investigation in this field and how this could be best aligned to the current evidence base to target screening in people at elevated risk of stroke.

Type of Medium: Online Resource

ISSN: 2058-5225 , 2058-1742

URL: Article

DOI: 10.1093/ehjqcco/qcab094

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2022

detail.hit.zdb_id: 2823451-0

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Cohort profile: the ESC EURObservational Research Programme Non-ST-segment elevation myocardial infraction (NSTEMI) Registry

Nadarajah, Ramesh ; Ludman, Peter ; Appelman, Yolande ; [et al.]

Oxford University Press (OUP) ; 2022

In: European Heart Journal - Quality of Care and Clinical Outcomes Vol. 9, No. 1 ( 2022-12-13), p. 8-15

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In: European Heart Journal - Quality of Care and Clinical Outcomes, Oxford University Press (OUP), Vol. 9, No. 1 ( 2022-12-13), p. 8-15

Abstract: The European Society of Cardiology (ESC) EURObservational Research Programme (EORP) Non-ST-segment elevation myocardial infarction (NSTEMI) Registry aims to identify international patterns in NSTEMI management in clinical practice and outcomes against the 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without ST-segment-elevation. Methods and results Consecutively hospitalised adult NSTEMI patients (n = 3620) were enrolled between 11 March 2019 and 6 March 2021, and individual patient data prospectively collected at 287 centres in 59 participating countries during a two-week enrolment period per centre. The registry collected data relating to baseline characteristics, major outcomes (in-hospital death, acute heart failure, cardiogenic shock, bleeding, stroke/transient ischaemic attack, and 30-day mortality) and guideline-recommended NSTEMI care interventions: electrocardiogram pre- or in-hospital, pre-hospitalization receipt of aspirin, echocardiography, coronary angiography, referral to cardiac rehabilitation, smoking cessation advice, dietary advice, and prescription on discharge of aspirin, P2Y12 inhibition, angiotensin converting enzyme inhibitor (ACEi)/angiotensin receptor blocker (ARB), beta-blocker, and statin. Conclusion The EORP NSTEMI Registry is an international, prospective registry of care and outcomes of patients treated for NSTEMI, which will provide unique insights into the contemporary management of hospitalised NSTEMI patients, compliance with ESC 2015 NSTEMI Guidelines, and identify potential barriers to optimal management of this common clinical presentation associated with significant morbidity and mortality.

Type of Medium: Online Resource

ISSN: 2058-5225 , 2058-1742

URL: Article

DOI: 10.1093/ehjqcco/qcac067

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2022

detail.hit.zdb_id: 2823451-0

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Kooperativer Bibliotheksverbund

Berlin Brandenburg