Alex is Clinical Senior Lecturer in Orthopaedic Surgery at the MSK Lab, based at the Sir Michael Uren Hub on the White City Campus, and Consultant Orthopaedic Surgeon at St Mary's and Charing Cross Hospitals. His principal research interest is in the improvement of joint replacement surgery through the use of big data and new technologies. In particular, he is interested in technological approaches to the prevention and management of infection following joint replacement, and in the improvement of outcomes of partial knee replacement.
After studying medicine as an undergraduate at Imperial, Alex completed his basic and core surgical training in West London before joining the North West Thames Orthopaedic Higher Training Programme in 2010. Between 2011 and 2014 he undertook a DPhil (PhD) at the Univeristy of Oxford as an Arthritis Research UK / Royal College of Surgeons research fellow, under the supervision of Prof. David Murray, Prof. Hemant Pandit, Prof. Andy Judge and Prof. Richie Gill. His thesis, entitled "Failure of Unicompartmental Knee Replacement" was published in 2015 and resulted in a number of influential publications on the use of partial knee replacement.
Following his DPhil, Alex was appointed NIHR Clinical Lecturer at University College London, based at the Institute of Orthopaedics and Musculoskeletal Sciences at the Royal National Orthopaedic Hospital. Here he set up a study using advanced imaging technology better to understand the formation of biofilms on infected hip and knee replacements, in collaboration with Prof. Dave Spratt at the Eastman Dental Institute and funded by grants from Orthopaedic Research UK and the Royal College of Surgeons of England. Alongside this, in collboration with Mike Whitehouse at the University of Bristol, he conducted a study into the effect of implant materials on the rate of infection following knee replacement, using data from the National Joint Registry for England and Wales.
A full list is available under the 'publications' tab
Liddle AD, Judge A, Pandit H, Murray DW. Adverse outcomes after Total and Unicompartmental Knee Replacement: a study of 101,330 matched patients from the National Joint Registry for England and Wales.
Liddle AD, Pandit H, Judge A, Murray DW. The effect of surgical caseload on revision rate following total and unicompartmental knee replacement. J Bone Joint Surg (Am) 2016;98(1):1-8.
Liddle AD, Judge A, Pandit H, Murray DW. Determinants of revision and functional outcome following unicompartmental knee replacement.
Osteoarthritis and Cartilage 2014;22(9):1241-50.
Hexter AT, Hislop SM, Blunn GW, Liddle AD. The effect of bearing surface on risk of prosthetic joint infection in total hip arthroplasty: a systematic review and meta-analysis. Bone Joint J 2018;100(2):134-142
Burn E, Liddle AD, Hamilton TW, Judge A, Pandit HG, Murray DW, Pinedo-Villanueva R. Cost-effectiveness of unicompartmental compared to total knee replacement: a population-based study using data from the National Joint Registry for England and Wales. BMJ Open 2018;8(4): e020977.
Alex is active in teaching both undergraduate and postgraduate students. He is Assessment Lead for Year 3 of the MBBS course and Deputy Assessment Lead for Phase One overall. He supervises PhD and MPhil students, is an educational supervisor for surgeons in training, and teaches on courses including the Stanmore Basic Science course and the Imperial Compartmental Knee Arthroplasty course.
et al., 2023, Should we recommend patellofemoral arthroplasties to patients?, Bone Jt Open, Vol:4, Pages:948-956
et al., 2023, Anatomical shoulder replacements in young patients: a systematic review and meta-analysis, Shoulder & Elbow, Vol:15, ISSN:1758-5732, Pages:4-14
et al., 2023, Pregnancy, parenthood, and fertility in the orthopaedic surgeon, Bone & Joint Journal, Vol:105B, ISSN:2049-4394, Pages:857-863
et al., 2023, Metabolic equivalent of task (MET) scores avoid the ceiling effect observed with conventional patient reported outcome scores following knee arthroplasty, Bone & Joint Open, Vol:4, ISSN:2633-1462, Pages:129-137
et al., Clinical pathway clustering using surrogate likelihoods and replayability validation, Winter Simulation Conference 2023, ACM / IEEE