Kinetics and kinematics of diabetic foot in type 2 diabetes mellitus with and without peripheral neuropathy: a systematic review and meta-analysis

Animesh Hazari, Arun G Maiya, K N Shivashankara, Ioannis Agouris, Ashma Monteiro, Radhika Jadhav, Sampath Kumar, C G Shashi Kumar, Shreemathi S Mayya, Animesh Hazari, Arun G Maiya, K N Shivashankara, Ioannis Agouris, Ashma Monteiro, Radhika Jadhav, Sampath Kumar, C G Shashi Kumar, Shreemathi S Mayya

Abstract

Background: Diabetes mellitus patients are at increased risk of developing diabetic foot with peripheral neuropathy, vascular and musculoskeletal complications. Therefore they are prone to develop frequent and often foot problems with a relative high risk of infection, gangrene and amputation. In addition, altered plantar pressure distribution is an important etiopathogenic risk factor for the development of foot ulcers. Thus the review on study of foot kinematic and kinetic in type 2 diabetes mellitus to understand the biomechanical changes is important.

Methodology: Scientific articles were obtained using electronic databases including Science Direct, CINAHL, Springer Link, Medline, Web of Science, and Pubmed. The selection was completed after reading the full texts. Studies using experimental design with focus on biomechanics of diabetic foot were selected.

Results: The meta-analysis report on gait velocity (neuropathy = 128 and non-diabetes = 131) showed that there was a significantly lower gait velocity in neuropathy participants compared to non-diabetes age matched participants at a high effect level (-0.09, 95 % CI -0.13 to 0.05; p < 0.0001). Regarding knee joint flexion range there was a significant difference between neuropathy and non-diabetes group (4.75, 95 % CI, -7.53 to 1.97, p = 0.0008).

Conclusions: The systematic review with meta-analysis reported significant difference in kinematic and kinetic variables among diabetic with neuropathy, diabetic without neuropathy and non-diabetes individuals. The review also found that the sample size in some studies were not statistically significant to perform the meta-analysis and report a strong conclusion. Therefore a study with higher sample size should be done.

Figures

Fig. 1
Fig. 1
Outlines the process and step wise results from an extensive literature search
Fig. 2
Fig. 2
Meta-analysis showing gait velocity in non-diabetes (control) compared to diabetes with neuropathy (negative mean difference represents higher mean values in the second group i.e. non-diabetes)
Fig. 3
Fig. 3
Meta-analysis showing gait velocity in non-diabetes compared to diabetes without neuropathy (negative mean difference represents higher mean values in the second group i.e. non-diabetes)
Fig. 4
Fig. 4
Meta-analysis showing stride length in non-diabetes compared to diabetes with neuropathy (negative mean difference represents higher mean values in the second group i.e. non-diabetes)
Fig. 5
Fig. 5
Meta-analysis showing stance period in diabetes with neuropathy compared to non-diabetes (positive mean difference represents higher mean values in first group i.e. diabetics with neuropathy)
Fig. 6
Fig. 6
Meta-analysis showing stride length in non-diabetes compared to diabetes without neuropathy (negative mean difference represents higher mean values in the second group i.e. non-diabetes)
Fig. 7
Fig. 7
Meta-analysis showing stride length in diabetes without neuropathy compared to diabetes with neuropathy (negative mean difference represents higher mean values in the second group i.e. Diabetes without neuropathy)
Fig. 8
Fig. 8
Meta-analysis report for hip flexion range between neuropathy and non-diabetes participants (results do not favor either group)
Fig. 9
Fig. 9
a Meta-analysis report for hip flexion range between non-neuropathy and non-diabetes participants (results do not favor either group). b Meta-analysis report for hip flexion range between non-neuropathy and neuropathy (negative mean difference represents higher mean values in the second group i.e. diabetes without neuropathy)
Fig. 10
Fig. 10
a Meta-analysis report for knee flexion range between neuropathy and non-diabetic participants (negative mean difference represents higher mean values in the second group i.e. non-diabetes). b Meta-analysis report for knee flexion range between neuropathy and non-neuropathy (results do not favor either group)
Fig. 11
Fig. 11
a Meta-analysis report for ankle dorsiflexion range between neuropathy and non-diabetic participants (negative mean difference represents higher mean values in the second group i.e. non-diabetes). b Meta-analysis report for ankle dorsiflexion range between neuropathy and non-neuropathy (results do not favor either group)
Fig. 12
Fig. 12
Meta-analysis report for plantar pressure between neuropathy and non-neuropathy (positive mean difference represents higher values in first group i.e. diabetes with neuropathy)
Fig. 13
Fig. 13
a Meta-analysis report for hind foot pressure between neuropathy and non-diabetic participants (results do not favor either group). b Meta-analysis report for fore foot pressure between neuropathy and non-diabetic participants (positive mean difference represents higher values in first group i.e. diabetes with neuropathy)
Fig. 14
Fig. 14
a Meta-analysis report for hind foot pressure between non-neuropathy and non-diabetic participants (results do not favor either group). b Meta-analysis report for fore foot pressure between non-neuropathy and non-diabetic participant (results do not favor either group). c Meta-analysis report for fore foot pressure between neuropathy and non-neuropathy (positive mean difference represents higher values in first group i.e. diabetes with neuropathy)
Fig. 15
Fig. 15
a Meta-analysis report for vertical ground reaction force at initial contact between neuropathy and non-neuropathy (results do not favor either group). b Meta-analysis report for vertical ground reaction force at toe off between neuropathy and non-neuropathy (results do not favor either group)
Fig. 16
Fig. 16
a Meta-analysis report for vertical ground reaction force at initial contact between neuropathy and non-diabetics (results do not favor either group). b Meta-analysis report for vertical ground reaction force at initial toe off between neuropathy and non-diabetics (results do not favor either group)
Fig. 17
Fig. 17
Meta-analysis report for peak plantar flexor moment between neuropathy and non-diabetics (negative mean difference represents higher mean values in the second group i.e. non-diabetes)
Fig. 18
Fig. 18
Meta-analysis report for peak knee extension moment between neuropathy and non-diabetics (results do not favor either group)
Fig. 19
Fig. 19
Meta-analysis report for peak hip flexion moment between neuropathy and non-diabetics (results do not favor either group)

References

    1. Ahroni JH, Boyko EJ, Forsberg RC. Clinical correlates of plantar pressure among diabetic veterans. Diabetes Care. 1999;22(6):965–972. doi: 10.2337/diacare.22.6.965.
    1. Amemiya A, Noguchi H, Oe M, Ohashi Y, Ueki K, Kadowaki T, Mori T, Sanada H. Elevated plantar pressure in diabetic patients and its relationship with their gait features. Gait Posture [Internet] 2014;40(3):408–414. doi: 10.1016/j.gaitpost.2014.05.063.
    1. Anjos DMC, Gomes LPO, Sampaio LMM, Correa JCF, Oliveira CS. Assessment of plantar pressure and balance in patients with diabetes. Arch Med Sci. 2010;6(1):43–48. doi: 10.5114/aoms.2010.13506.
    1. Bacarin TA, Sacco ICN, Hennig EM. Plantar pressure distribution patterns during gait in diabetic neuropathy patients with a history of foot ulcers. Clin (Sao Paulo) 2009;64(2):113–120. doi: 10.1590/S1807-59322009000200008.
    1. Bansal V, Kalita J, Misra UK. Diabetic neuropathy. Postgrad Med J. 2006;82(964):95–100. doi: 10.1136/pgmj.2005.036137.
    1. Birke JA, Sims DS (1986) Plantar sensory threshold in the ulcerative foot. Lepr Rev 57:261–267
    1. Borenstein M, Hedges L, Rothstein H (2007) Meta-analysis fixed effect vs. random effects. Test [Internet]. 162.
    1. Caselli A, Pham H, Giurini JM, Armstrong DG, Veves A. The forefoot-to-rearfoot plantar pressure ratio is increased in severe diabetic neuropathy and can predict foot ulceration. Diabetes Care. 2002;25(6):1066–1071. doi: 10.2337/diacare.25.6.1066.
    1. Claudia A, Fortaleza DS, Chagas EF, Minonroze D, Ferreira A, Mantovani AM, et al (2014) Neuropathy. (October 2013):427–36
    1. Deschamps K, Matricali GA, Roosen P, Desloovere K, Bruyninckx H, Spaepen P, et al (2013) Classification of forefoot plantar pressure distribution in persons with diabetes: A novel perspective for the mechanical management of diabetic foot? PLoS One 8(11)
    1. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998;52(6):377–384. doi: 10.1136/jech.52.6.377.
    1. Fernando M, Crowther R, Lazzarini P, Sangla K, Cunningham M, Buttner P, et al. Biomechanical characteristics of peripheral diabetic neuropathy: a systematic review and meta-analysis of findings from the gait cycle, muscle activity and dynamic barefoot plantar pressure. Clin Biomech. 2013;28(8):831–845. doi: 10.1016/j.clinbiomech.2013.08.004.
    1. Formosa C, Gatt A, Chockalingam N. The importance of clinical biomechanical assessment of foot deformity and joint mobility in people living with type-2 diabetes within a primary care setting. Prim Care Diab. 2013;7:45–50. doi: 10.1016/j.pcd.2012.12.003.
    1. Gomes AA, Onodera AN, Otuzi MEI, Pripas D, Mezzarane RA, Sacco ICN. Electromyography and kinematic changes of gait cycle at different cadences in diabetic neuropathic individuals. Muscle Nerve. 2011;44(2):258–268. doi: 10.1002/mus.22051.
    1. Guldemond NA, Leffers P, Walenkamp GHIM, Schaper NC, Sanders AP, Nieman FHM, et al. (2008) Prediction of peak pressure from clinical and radiological measurements in patients with diabetes. BMC Endocr Disord [Internet]. 8:16. Available from:
    1. Ko S, Stenholm S, Chia CW, Simonsick EM, Ferrucci L. Gait pattern alterations in older adults associated with type 2 diabetes in the absence of peripheral neuropathy-Results from the Baltimore Longitudinal Study of Aging. Gait Posture [Internet] 2011;34(4):548–552. doi: 10.1016/j.gaitpost.2011.07.014.
    1. Ko M, Hughes L, Lewis H. Walking speed and peak plantar pressure distribution during barefoot walking in persons with diabetes. Physiother Res Int. 2012;17(1):29–35. doi: 10.1002/pri.509.
    1. Kumar A, Goel MK, Jain RB, Khanna P, Chaudhary V. India towards diabetes control: key issues. Australas Med J. 2013;6(10):524–531. doi: 10.4066/AMJ.2013.1791.
    1. Kumar CG, Rajagopal KV, Hande HM, Maiya AG, Mayya SS. Intrinsic foot muscle and plantar tissue changes in type 2 diabetes mellitus. J Diabetes. 2015;7(6):850–857. doi: 10.1111/1753-0407.12254.
    1. Melai T, IJzerman TH, Schaper NC, de Lange TLH, Willems PJB, Meijer K, et al. Calculation of plantar pressure time integral, an alternative approach. Gait Posture [Internet] 2011;34(3):379–383. doi: 10.1016/j.gaitpost.2011.06.005.
    1. Pataky Z, Assal JP, Conne P, Vuagnat H, Golay A. Plantar pressure distribution in Type 2 diabetic patients without peripheral neuropathy and peripheral vascular disease. Diabet Med [Internet]. 2005;22(6):762–767. doi: 10.1111/j.1464-5491.2005.01520.x.
    1. Pawde P, Thampi R, Renish RK, Resmi RU, Vivek MR. Prevalence and risk factors of diabetic peripheral neuropathy among type-2 diabetic patients presenting to SMIMS hospital, Kulasekharam, Kanyakumari district, Tamil Nadu, India. Int J Med Sci Public Health. 2013;2(1):73. doi: 10.5455/ijmsph.2013.2.73-76.
    1. Pham H, Armstrong D, Harvey C, Harkless L, Giurini J, Veves A. Screening techniques to identify people at high risk for diabetic foot ulceration: a prospective multicenter trial. Diabetes Care. 2000;23(5):606–611. doi: 10.2337/diacare.23.5.606.
    1. Rahman MA, Aziz Z, Rajendra Acharya U, Ha TP, Kannathal N, Ng EY et al (2006) Analysis of plantar pressure in diabetic type 2 subjects with and without neuropathy. Itbm-Rbm [Internet]. 27(2): 46–55.
    1. Rao S, Saltzman C, Yack HJ (2006) Ankle ROM and Stiffness Measured at Rest and during Gait in Individuals with and without Diabetic Sensory Neuropathy. Gait Posture 24(3):295–301
    1. Rao S, Saltzman CL, Yack HJ. Relationships between segmental foot mobility and plantar loading in individuals with and without diabetes and neuropathy. Gait Posture. 2010;31(2):251–255. doi: 10.1016/j.gaitpost.2009.10.016.
    1. Raspovic A. Gait characteristics of people with diabetes-related peripheral neuropathy, with and without a history of ulceration. Gait Posture. 2013;38(4):723–728. doi: 10.1016/j.gaitpost.2013.03.009.
    1. Sacco ICN, Hamamoto AN, Gomes AA, Onodera AN, Hirata RP, Hennig EM. Role of ankle mobility in foot rollover during gait in individuals with diabetic neuropathy. Clin Biomech [Internet] 2009;24(8):687–692. doi: 10.1016/j.clinbiomech.2009.05.003.
    1. Saura V, Godoy dos Santos AL, Ortiz RT, Parisi MC, Fernandes TD, Nery M. Predictive factors of gait in neuropathic and non-neurophatic diabetic patients. Acta Ortop Bras. 2010;18(3):148–151. doi: 10.1590/S1413-78522010000300006.
    1. Savelberg HHCM, Schaper NC, Willems PJB, de Lange TLH, Meijer K. Redistribution of joint moments is associated with changed plantar pressure in diabetic polyneuropathy. BMC Musculoskelet Disord. 2009;10:16. doi: 10.1186/1471-2474-10-16.
    1. Savelberg HHCM, Ilgin D, Angin S, Willems PJB, Schaper NC, Meijer K. Prolonged activity of knee extensors and dorsal flexors is associated with adaptations in gait in diabetes and diabetic polyneuropathy. Clin Biomech. 2010;25(5):468–475. doi: 10.1016/j.clinbiomech.2010.02.005.
    1. Sawacha Z, Cristoferi G, Guarneri G, Corazza S, Donà G, Denti P, et al. Characterizing multisegment foot kinematics during gait in diabetic foot patients. J Neuroeng Rehabil. 2009;6:37. doi: 10.1186/1743-0003-6-37.
    1. Sawacha Z, Guarneri G, Cristoferi G, Guiotto A, Avogaro A, Cobelli C. Integrated kinematics-kinetics-plantar pressure data analysis: a useful tool for characterizing diabetic foot biomechanics. Gait Posture. 2012;36(1):20–26. doi: 10.1016/j.gaitpost.2011.12.007.
    1. Sutherland DH. The evolution of clinical gait analysis part 1: kinesiological EMG. Gait Posture. 2001;14:61–70. doi: 10.1016/S0966-6362(01)00100-X.
    1. Stefanyshyn DJ, Nigg BM (1998) Dynamic angular stiffness of the ankle joint during running and sprinting. J Appl Biomech 14:292–299
    1. Tesfaye S, Selvarajah D. Advances in the epidemiology, pathogenesis and management of diabetic peripheral neuropathy. Diabetes Metab Res Rev. 2012;28:8–14. doi: 10.1002/dmrr.2239.
    1. Tuna H, Birtane M, Guldiken S, Soysal NA, Taspinar O, Sut N, et al. (2014) The Effect of Disease Duration on Foot Plantar Pressure Values in Patients with Type 2 Diabetes Mellitus. Türkiye Fiz Tip ve Rehabil Derg [Internet] 60(3):231–235.
    1. Uccioli L, Caselli A, Giacomozzi C, Macellari V, Giurato L, Lardieri L, et al. Pattern of abnormal tangential forces in the diabetic neuropathic foot. Clin Biomech. 2001;16(5):446–454. doi: 10.1016/S0268-0033(01)00015-8.
    1. Wang H, Ramakrishnan A, Fletcher S, Prochownik EV. A quantitative, surface plasmon resonance-based approach to evaluating DNA binding by the c-Myc oncoprotein and its disruption by small molecule inhibitors. J Biol Methods. 2015;2(2):e18. doi: 10.14440/jbm.2015.54.
    1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes. Diabetes Care. 2004;27:1047–1053. doi: 10.2337/diacare.27.5.1047.
    1. Williams III DSB, Brunt D, Tanenberg RJ (2007) Diabetic neuropathy is related to joint stiffness during late stance phase. J Appl Biomech [Internet] 23(4):251–260. ;
    1. Yavuz M, Tajaddini A, Botek G, Davis BL. Temporal characteristics of plantar shear distribution: relevance to diabetic patients. J Biomech. 2008;41(3):556–559. doi: 10.1016/j.jbiomech.2007.10.008.
    1. Yavuzer G, Yetkin I, Toruner FB, Koca N, Bolukbasi N. Gait deviations of patients with diabetes mellitus: looking beyond peripheral neuropathy. Eur Medicophys. 2006;42(2):127–133.
    1. Zheng YP, Choi YK, Wong K, Chan S, Mak AF. Biomechanical Assessment of plantar foot tissue in diabetic patients using an ultrasound indentation system biomechanical assessment of plantar foot tissue in diabetic patients. Ultrasound Med Biol. 2006;26:1–20.
    1. Zimny S, Schatz H, Pfohl M. The role of limited joint mobility in diabetic patients with an at-risk foot. Diabetes Care. 2004;27(4):942–946. doi: 10.2337/diacare.27.4.942.

Source: PubMed

3
Iratkozz fel