scholarly journals Lower Limb Amputation at the 34 Military Hospital in Freetown, Sierra Leone: Causes and Indications.

2016 ◽  
Vol 8 (2) ◽  
pp. 9 ◽  
Author(s):  
Paul F. Nabieu ◽  
Thomas A. Massaquoi ◽  
S. D. Massaquoi ◽  
G Luseni ◽  
B. Idris ◽  
...  
Keyword(s):  
Sierra Leone ◽  
Lower Limb ◽  
Lower Limb Amputation ◽  
Limb Amputation ◽  
Military Hospital

Barriers to accessing and providing rehabilitation after a lower limb amputation in Sierra Leone – a multidisciplinary patient and service provider perspective

2020 ◽  
pp. 1-8
Author(s):  
Archie P. T. Allen ◽  
William S. Bolton ◽  
Mohamed B. Jalloh ◽  
Stephen J. Halpin ◽  
David G. Jayne ◽  
...  
Keyword(s):  
Sierra Leone ◽  
Service Provider ◽  
Lower Limb ◽  
Lower Limb Amputation ◽  
Limb Amputation ◽  
Provider Perspective

scholarly journals P90 PERCEIVE: PrEdiction of Risk and Communication of outcome following major lower limb amputation - a collaboratIVE study

BJS Open ◽  
2021 ◽  
Vol 5 (Supplement_1) ◽  
Author(s):  
B Gwilym ◽  
C Waldron ◽  
E Thomas-Jones ◽  
P Pallmann ◽  
R Preece ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Lower Limb ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Demographic Data ◽  
Collaborative Study ◽  
Lower Limb Amputation ◽  
Research Network ◽  
Limb Amputation ◽  
Prediction Tools

Abstract Introduction Major Lower Limb Amputation (MLLA) is a life changing event with significant morbidity and mortality. Inaccurate risk prediction can lead to poor decision making, resulting in delay to definitive surgery, or undertaking amputation when not in the patient’s best interest. We aim to answer: In adult patients undergoing MLLA for chronic limb threatening ischaemia or diabetes, how accurately do health care professionals prospectively predict outcomes after MLLA, and how does this compare to existing prediction tools? Methods A multicentre prospective observational cohort study is being delivered through the Vascular and Endovascular Research Network. Dissemination was via an existing network of contacts and social media. Consecutive data will be collected for seven months from site launch date, including demographic data and pre-operative outcome predictions from surgeons, anaesthetists, and allied healthcare professionals. Follow-up data will comprise 30-day (mortality, morbidity, MLLA revision, surgical site infection, and blood transfusion) and 1-year (mortality, MLLA revision and ambulation). The accuracy of surgeons’ predictions will be evaluated and compared to pre-existing risk prediction scoring tools. Results PERCEIVE launched on 01/10/2020 with 23 centres (16 UK, 7 international) registered to collect data. 50 other centres (27 UK, 23 international) have expressed interest/are pursuing local audit/ethical approval. We aim to collect data on clinicians estimate of outcomes for over 500 patients. Discussion This study will utilise a trainee research network to provide data on the accuracy of healthcare professionals’ predictions of outcomes following MLLA and compare this to the utility of existing prediction tools in this patient cohort.

scholarly journals Socio-economic outcome of paraplegia compared to lower limb amputation

Spinal Cord ◽  
2002 ◽  
Vol 40 (4) ◽  
pp. 174-177 ◽  
Author(s):  
A Cavigelli ◽  
R Fischer ◽  
V Dietz
Keyword(s):  
Lower Limb ◽  
Lower Limb Amputation ◽  
Economic Outcome ◽  
Limb Amputation

scholarly journals Geographic Variation of the Incidence Rate of Lower Limb Amputation in Australia from 2007-12

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0170705 ◽  
Author(s):  
Michael P. Dillon ◽  
Lauren V. Fortington ◽  
Muhammad Akram ◽  
Bircan Erbas ◽  
Friedbert Kohler
Keyword(s):  
Incidence Rate ◽  
Geographic Variation ◽  
Lower Limb ◽  
Lower Limb Amputation ◽  
Limb Amputation

Mobility after lower-limb amputation

1996 ◽  
Vol 83 (1) ◽  
pp. 134-134 ◽  
Author(s):  
J. R. Kulkarni ◽  
C. Collin ◽  
J. Collin
Keyword(s):  
Lower Limb ◽  
Lower Limb Amputation ◽  
Limb Amputation
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