Imperial College London

Dr Mahim Irfan Qureshi

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Clinical Research Fellow
 
 
 
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Contact

 

mahim.qureshi

 
 
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Location

 

4 NorthCharing Cross HospitalCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lewis:2016:10.1136/bmjopen-2016-011308,
author = {Lewis, TL and Fothergill, RT and Aneurysm-FILTR, Study Group and Karthikesalingam, A and Qureshi, MI},
doi = {10.1136/bmjopen-2016-011308},
journal = {BMJ Open},
title = {Ambulance smartphone tool for field triage of ruptured aortic aneurysms (FILTR): study protocol for a prospective observational validation of diagnostic accuracy},
url = {http://dx.doi.org/10.1136/bmjopen-2016-011308},
volume = {6},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Introduction Rupture of an abdominal aortic aneurysm (rAAA) carries a considerable mortality rate and is often fatal. rAAA can be treated through open or endovascular surgical intervention and it is possible that more rapid access to definitive intervention might be a key aspect of improving mortality for rAAA. Diagnosis is not always straightforward with up to 42% of rAAA initially misdiagnosed, introducing potentially harmful delay. There is a need for an effective clinical decision support tool for accurate prehospital diagnosis and triage to enable transfer to an appropriate centre.Methods and analysis Prospective multicentre observational study assessing the diagnostic accuracy of a prehospital smartphone triage tool for detection of rAAA. The study will be conducted across London in conjunction with London Ambulance Service (LAS). A logistic score predicting the risk of rAAA by assessing ten key parameters was developed and retrospectively validated through logistic regression analysis of ambulance records and Hospital Episode Statistics data for 2200 patients from 2005 to 2010. The triage tool is integrated into a secure mobile app for major smartphone platforms. Key parameters collected from the app will be retrospectively matched with final hospital discharge diagnosis for each patient encounter. The primary outcome is to assess the sensitivity, specificity and positive predictive value of the rAAA triage tool logistic score in prospective use as a mob app for prehospital ambulance clinicians. Data collection started in November 2014 and the study will recruit a minimum of 1150 non-consecutive patients over a time period of 2years.Ethics and dissemination Full ethical approval has been gained for this study. The results of this study will be disseminated in peer-reviewed publications, and international/national presentations.
AU - Lewis,TL
AU - Fothergill,RT
AU - Aneurysm-FILTR,Study Group
AU - Karthikesalingam,A
AU - Qureshi,MI
DO - 10.1136/bmjopen-2016-011308
PY - 2016///
SN - 2044-6055
TI - Ambulance smartphone tool for field triage of ruptured aortic aneurysms (FILTR): study protocol for a prospective observational validation of diagnostic accuracy
T2 - BMJ Open
UR - http://dx.doi.org/10.1136/bmjopen-2016-011308
UR - http://hdl.handle.net/10044/1/43808
VL - 6
ER -