Leg ischaemia management collaboration (LIMb): study protocol for a prospective cohort study at a single UK centre

John S M Houghton, Sarah Nduwayo, Andrew T O Nickinson, Tanya J Payne, Sue Sterland, Mintu Nath, Laura J Gray, Greg S McMahon, Harjeet S Rayt, Sally J Singh, Thompson G Robinson, Simon P Conroy, Victoria J Haunton, Gerry P McCann, Matthew J Bown, Robert S M Davies, Rob D Sayers, John S M Houghton, Sarah Nduwayo, Andrew T O Nickinson, Tanya J Payne, Sue Sterland, Mintu Nath, Laura J Gray, Greg S McMahon, Harjeet S Rayt, Sally J Singh, Thompson G Robinson, Simon P Conroy, Victoria J Haunton, Gerry P McCann, Matthew J Bown, Robert S M Davies, Rob D Sayers

Abstract

Introduction: Severe limb ischaemia (SLI) is the end stage of peripheral arterial occlusive disease where the viability of the limb is threatened. Around 25% of patients with SLI will ultimately require a major lower limb amputation, which has a substantial adverse impact on quality of life. A newly established rapid-access vascular limb salvage clinic and modern revascularisation techniques may reduce amputation rate. The aim of this study was to investigate the 12-month amputation rate in a contemporary cohort of patients and compare this to a historical cohort. Secondary aims are to investigate the use of frailty and cognitive assessments, and cardiac MRI in risk-stratifying patients with SLI undergoing intervention and establish a biobank for future biomarker analyses.

Methods and analysis: This single-centre prospective cohort study will recruit patients aged 18-110 years presenting with SLI. Those undergoing intervention will be eligible to undergo additional venepuncture (for biomarker analysis) and/or cardiac MRI. Those aged ≥65 years and undergoing intervention will also be eligible to undergo additional frailty and cognitive assessments. Follow-up will be at 12 and 24 months and subsequently via data linkage with NHS Digital to 10 years postrecruitment. Those undergoing cardiac MRI and/or frailty assessments will receive additional follow-up during the first 12 months to investigate for perioperative myocardial infarction and frailty-related outcomes, respectively. A sample size of 420 patients will be required to detect a 10% reduction in amputation rate in comparison to a similar sized historical cohort, with 90% power and 5% type I error rate. Statistical analysis of this comparison will be by adjusted and unadjusted logistic regression analyses.

Ethics and dissemination: Ethical approval for this study has been granted by the UK National Research Ethics Service (19/LO/0132). Results will be disseminated to participants via scientific meetings, peer-reviewed medical journals and social media.

Trial registration number: NCT04027244.

Keywords: biomarkers; cognitive dysfunction; frailty; limb salvage; myocardial perfusion imaging; peripheral arterial disease.

Conflict of interest statement

Competing interests: RSMD has acted as a speaker for Gore Medical and has received educational grants from Terumo/Aortic outside the submitted work.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Figures

Figure 1
Figure 1
Study overview. Numbers are estimates for the whole 2-year recruitment period and based on local audit data from 2018/2019.
Figure 2
Figure 2
Cardiac MRI protocol including Dixon function for abdominal visceral and subcutaneous fat. L3, third lumbar vertebra; 4/3/2 Ch, 4/3/2 chamber; SAO, sagittal oblique.

References

    1. Fowkes FGR, Rudan D, Rudan I, et al. . Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. The Lancet 2013;382:1329–40. 10.1016/S0140-6736(13)61249-0
    1. Criqui MH, Aboyans V. Epidemiology of peripheral artery disease. Circ Res 2015;116:1509–26. 10.1161/CIRCRESAHA.116.303849
    1. Becker F, Robert-Ebadi H, Ricco J-B, et al. . Chapter I: definitions, epidemiology, clinical presentation and prognosis. European Journal of Vascular and Endovascular Surgery 2011;42(Suppl 2):S4–S12. 10.1016/S1078-5884(11)60009-9
    1. Norgren L, Hiatt WR, Dormandy JA, et al. . Inter-Society consensus for the management of peripheral arterial disease (TASC II). J Vasc Surg 2007;45 Suppl S:S5–67.
    1. Ahmad N, Thomas GN, Gill P, et al. . The prevalence of major lower limb amputation in the diabetic and non-diabetic population of England 2003–2013. Diabetes and Vascular Disease Research 2016;13:348–53. 10.1177/1479164116651390
    1. Kerr M. Diabetic foot care in England: an economic study: diabetes UK, 2017. Available:
    1. Jeffcoate W, Bakker K. World diabetes day: footing the bill. The Lancet 2005;365 10.1016/S0140-6736(05)66437-9
    1. Davie-Smith F, Coulter E, Kennon B, et al. . Factors influencing quality of life following lower limb amputation for peripheral arterial occlusive disease: a systematic review of the literature. Prosthet Orthot Int 2017;41:537–47. 10.1177/0309364617690394
    1. Suckow BD, Goodney PP, Cambria RA, et al. . Predicting functional status following amputation after lower extremity bypass. Ann Vasc Surg 2012;26:67–78. 10.1016/j.avsg.2011.07.014
    1. Naylor H, Russell P, Thompson J. Development of a scoring tool (BLARt score) to predict functional outcome in lower limb amputees AU - Bowrey, Sarah. Disability and Rehabilitation 2018:1–9.
    1. Takeji Y, Yamaji K, Tomoi Y, et al. . Impact of frailty on clinical outcomes in patients with critical limb ischemia. Circulation 2018;11:e006778.
    1. Hubbard RE, Story DA. Patient frailty: the elephant in the operating room. Anaesthesia 2014;69(Suppl 1):26–34. 10.1111/anae.12490
    1. Morley JE, Vellas B, Abellan van Kan G, et al. . Frailty consensus: a call to action. J Am Med Dir Assoc 2013;14:392–7. 10.1016/j.jamda.2013.03.022
    1. Gale CR, Cooper C, Aihie Sayer A. Prevalence of frailty and disability: findings from the English longitudinal study of ageing. Age Ageing 2015;44:162–5. 10.1093/ageing/afu148
    1. Partridge JSL, Fuller M, Harari D, et al. . Frailty and poor functional status are common in arterial vascular surgical patients and affect postoperative outcomes. Int J Surg 2015;18:57–63. 10.1016/j.ijsu.2015.04.037
    1. Xue Q-L. The frailty syndrome: definition and natural history. Clin Geriatr Med 2011;27:1–15. 10.1016/j.cger.2010.08.009
    1. Wang J, Zou Y, Zhao J, et al. . The impact of frailty on outcomes of elderly patients after major vascular surgery: a systematic review and meta-analysis. Eur J Vasc Endovasc Surg 2018;56:591–602. 10.1016/j.ejvs.2018.07.012
    1. de Vries NM, Staal JB, van Ravensberg CD, et al. . Outcome instruments to measure frailty: a systematic review. Ageing Res Rev 2011;10:104–14. 10.1016/j.arr.2010.09.001
    1. Robertson DA, Savva GM, Kenny RA. Frailty and cognitive impairment—A review of the evidence and causal mechanisms. Ageing Res Rev 2013;12:840–51. 10.1016/j.arr.2013.06.004
    1. Partridge JSL, Dhesi JK, Cross JD, et al. . The prevalence and impact of undiagnosed cognitive impairment in older vascular surgical patients. J Vasc Surg 2014;60:1002–11. 10.1016/j.jvs.2014.04.041
    1. Fried LP, Tangen CM, Walston J, et al. . Frailty in older adults: evidence for a phenotype. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences 2001;56:M146–M157. 10.1093/gerona/56.3.M146
    1. Cruz-Jentoft AJ, Bahat G, Bauer J, et al. . Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 2019;48:16–31. 10.1093/ageing/afy169
    1. Reeve TE, Ur R, Craven TE, et al. . Grip strength measurement for frailty assessment in patients with vascular disease and associations with comorbidity, cardiac risk, and sarcopenia. J Vasc Surg 2018;67:1512–20. 10.1016/j.jvs.2017.08.078
    1. Matsubara Y, Matsumoto T, Inoue K, et al. . Sarcopenia is a risk factor for cardiovascular events experienced by patients with critical limb ischemia. J Vasc Surg 2017;65:1390–7. 10.1016/j.jvs.2016.09.030
    1. Pol RA, van Leeuwen BL, Visser L, et al. . Standardised frailty indicator as predictor for postoperative delirium after vascular surgery: a prospective cohort study. European Journal of Vascular and Endovascular Surgery 2011;42:824–30. 10.1016/j.ejvs.2011.07.006
    1. Visser L, Prent A, van der Laan MJ, et al. . Predicting postoperative delirium after vascular surgical procedures. J Vasc Surg 2015;62:183–9 10.1016/j.jvs.2015.01.041
    1. Hertzer NR. Clinical experience with preoperative coronary angiography. J Vasc Surg 1985;2:510–2. 10.1016/0741-5214(85)90115-6
    1. Her K, Choi C, Park Y, et al. . Concomitant peripheral artery disease and asymptomatic coronary artery disease: a management strategy. Ann Vasc Surg 2008;22:649–56. 10.1016/j.avsg.2008.01.010
    1. Pande RL, Perlstein TS, Beckman JA, et al. . Secondary prevention and mortality in peripheral artery disease: National health and nutrition examination study, 1999 to 2004. Circulation 2011;124:17–23.
    1. Landesberg G, Mosseri M, Wolf YG, et al. . Preoperative thallium scanning, selective coronary revascularization, and long-term survival after major vascular surgery. Circulation 2003;108:177–83. 10.1161/01.CIR.0000080292.11186.FB
    1. Wagner A, Mahrholdt H, Holly TA, et al. . Contrast-Enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study. The Lancet 2003;361:374–9. 10.1016/S0140-6736(03)12389-6
    1. Khoo JP, Grundy BJ, Steadman CD, et al. . Stress cardiovascular Mr in routine clinical practice: referral patterns, accuracy, tolerance, safety and incidental findings. Br J Radiol 2012;85:e851–7. 10.1259/bjr/14829242
    1. Greenwood JP, Ripley DP, Berry C, et al. . Effect of care guided by cardiovascular magnetic resonance, myocardial perfusion scintigraphy, or NICE guidelines on subsequent unnecessary angiography rates. JAMA 2016;316:1051–60. 10.1001/jama.2016.12680
    1. Greenwood JP, Maredia N, Younger JF, et al. . Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial. The Lancet 2012;379:453–60. 10.1016/S0140-6736(11)61335-4
    1. Xue H, Inati S, Sørensen TS, et al. . Distributed MRI reconstruction using Gadgetron-based cloud computing. Magn Reson Med 2015;73:1015–25. 10.1002/mrm.25213
    1. Kellman P, Hansen MS, Nielles-Vallespin S, et al. . Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification. Journal of Cardiovascular Magnetic Resonance 2017;19 10.1186/s12968-017-0355-5
    1. Engblom H, Xue H, Akil S, et al. . Fully quantitative cardiovascular magnetic resonance myocardial perfusion ready for clinical use: a comparison between cardiovascular magnetic resonance imaging and positron emission tomography. Journal of Cardiovascular Magnetic Resonance 2017;19 10.1186/s12968-017-0388-9
    1. Mills JL, Conte MS, Armstrong DG, et al. . The Society for vascular surgery lower extremity threatened limb classification system: risk stratification based on wound, ischemia, and foot infection (WIfI). J Vasc Surg 2014;59:220–34. 10.1016/j.jvs.2013.08.003
    1. Aboyans V, Ricco J-B, Bartelink M-LEL, et al. . 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS): Document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteriesEndorsed by: the European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS). Eur Heart J 2018;39:763–816. 10.1093/eurheartj/ehx095
    1. Breen P, Simpson S, Packer C. New and emerging angioplasty technologies in development for severe lower limb ischaemia. Birmingham, UK: The NIHR Horizon Scanning Research & Intelligence Centre University of Birmingham, 2016.
    1. Slim H, Tiwari A, Ahmed A, et al. . Distal versus ultradistal bypass grafts: amputation-free survival and patency rates in patients with critical leg ischaemia. Eur J Vasc Endovasc Surg 2011;42:83–8. 10.1016/j.ejvs.2011.03.016
    1. Taeymans K, Groot Jebbink E, Holewijn S, et al. . Three-Year outcome of the covered endovascular reconstruction of the aortic bifurcation technique for aortoiliac occlusive disease. J Vasc Surg 2018;67:1438–47 10.1016/j.jvs.2017.09.015
    1. Boyle J, Brooks M, Biram R, et al. . A Best Practic Clinical Care Pathway for Peripheral Arterial Disease London, UK: The Vascular Society of Great Britain & Ireland, 2019. Available: [Accessed 12 Ap 2019].
    1. Edmans J, Bradshaw L, Gladman JRF, et al. . The identification of seniors at risk (ISAR) score to predict clinical outcomes and health service costs in older people discharged from UK acute medical units. Age Ageing 2013;42:747–53. 10.1093/ageing/aft054
    1. Adam DJ, Beard JD, Cleveland T, et al. . Bypass versus angioplasty in severe ischaemia of the leg (basil): multicentre, randomised controlled trial. Lancet 2005;366:1925–34. 10.1016/S0140-6736(05)67704-5
    1. Ince P, Abbas ZG, Lutale JK, et al. . Use of the Sinbad classification system and score in comparing outcome of foot ulcer management on three continents. Diabetes Care 2008;31:964–7. 10.2337/dc07-2367
    1. Rockwood K, et al. A global clinical measure of fitness and frailty in elderly people. Can Med Assoc J 2005;173:489–95. 10.1503/cmaj.050051
    1. Morgan MBF, Crayford T, Murrin B, et al. . Developing the vascular quality of life questionnaire: a new disease-specific quality of life measure for use in lower limb ischemia. J Vasc Surg 2001;33:679–87. 10.1067/mva.2001.112326
    1. Collin C, Wade DT, Davies S, et al. . The Barthel ADL index: a reliability study. Int Disabil Stud 1988;10:61–3. 10.3109/09638288809164103
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67:361–70. 10.1111/j.1600-0447.1983.tb09716.x
    1. Rolfson DB, Majumdar SR, Tsuyuki RT, et al. . Validity and reliability of the Edmonton frail scale. Age Ageing 2006;35:526–9. 10.1093/ageing/afl041
    1. Nasreddine ZS, Phillips NA, Bédirian V, et al. . The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53:695–9. 10.1111/j.1532-5415.2005.53221.x
    1. Guralnik JM, Simonsick EM, Ferrucci L, et al. . A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 1994;49:M85–M94. 10.1093/geronj/49.2.M85
    1. Sands MB, Dantoc BP, Hartshorn A, et al. . Single question in delirium (SQiD): testing its efficacy against psychiatrist interview, the confusion assessment method and the Memorial delirium assessment scale. Palliat Med 2010;24:561–5. 10.1177/0269216310371556
    1. Bellelli G, Morandi A, Davis DHJ, et al. . Validation of the 4AT, a new instrument for rapid delirium screening: a study in 234 hospitalised older people. Age Ageing 2014;43:496–502. 10.1093/ageing/afu021
    1. Singh A, Greenwood JP, Berry C, et al. . Comparison of exercise testing and CMR measured myocardial perfusion reserve for predicting outcome in asymptomatic aortic stenosis: the prognostic importance of microvascular dysfunction in aortic stenosis (PRIMID as) study. Eur Heart J 2017;38:1222–9. 10.1093/eurheartj/ehx001
    1. Mordi I, Stanton T, Carrick D, et al. . Comprehensive dobutamine stress CMR versus echocardiography in LBBB and suspected coronary artery disease. JACC Cardiovasc Imaging 2014;7:490–8. 10.1016/j.jcmg.2014.01.012
    1. Cerqueira MD, Weissman NJ, Dilsizian V, et al. . Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the cardiac imaging Committee of the Council on clinical cardiology of the American heart association. Circulation 2002;105:539–42.
    1. Rahimi K, Banning AP, Cheng ASH, et al. . Prognostic value of coronary revascularisation-related myocardial injury: a cardiac magnetic resonance imaging study. Heart 2009;95:1937–43. 10.1136/hrt.2009.173302
    1. Kays JK, Liang TW, Zimmers TA, et al. . Sarcopenia is a significant predictor of mortality after abdominal aortic aneurysm repair. JCSM Clinical Reports 2018;3 10.17987/jcsm-cr.v3i1.53
    1. Harris PA, Taylor R, Thielke R, et al. . Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.010
    1. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 2011;46:399–424. 10.1080/00273171.2011.568786
    1. Lim J, Walley R, Yuan J, et al. . Minimizing patient burden through the use of historical Subject-Level data in innovative confirmatory clinical trials. Drug Inf J 2018;52:546–59. 10.1177/2168479018778282

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