A five-year audit of lower limb amputations below the knee and rehabilitation outcomes: the Durban experience

Manickum, P; Ramklass, SS; Madiba, T. E.

doi:10.1080/16089677.2018.1553378

Cited by 12 publications

(15 citation statements)

References 14 publications

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“…Spoden et al established that in Germany alone, the number of lower leg amputation cases was 52,096 in 2005 and 55,595 in 2015, confirming that a significant population suffers from lower leg amputations and it is on the increase [ 1 ]. A study by Manickum et al suggests that 53.1% of lower leg amputations are caused by Diabetes Mellitus alone [ 2 ]. In India, Pooja et al performed a study of 155 amputees and observed trauma to be the primary cause of amputation (70%) followed by vascular diseases.…”

Section: Introductionmentioning

confidence: 99%

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method

Alharbi

Equbal

Ahmad

et al. 2021

Journal of Healthcare Engineering

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A high-accuracy gait data prediction model can be used to design prosthesis and orthosis for people having amputations or ailments of the lower limb. The objective of this study is to observe the gait data of different subjects and design a neural network to predict future gait angles for fixed speeds. The data were recorded via a Biometrics goniometer, while the subjects were walking on a treadmill for 20 seconds each at 2.4 kmph, 3.6 kmph, and 5.4 kmph. The data were then imported into Matlab, filtered to remove movement artifacts, and then used to design a neural network with 60% data for training, 20% for validation, and remaining 20% for testing using the LevenbergMarquardt method. The mean-squared error for all the cases was in the order of 10−3 or lower confirming that our method is correct. For further comparison, we randomly tested the neural network function with untrained data and compared the expected output with actual output of the neural network function using Pearson’s correlation coefficient and correlation plots. We conclude that our framework can be successfully used to design prosthesis and orthosis for lower limb. It can also be used to validate gait data and compare it to expected data in rehabilitation engineering.

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Section: Introductionmentioning

confidence: 99%

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method

Alharbi

Equbal

Ahmad

et al. 2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

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“…It is estimated that 2 million people in the United States have undergone limb amputation, resulting in approximately 185,000 amputations performed each year [2]. Roughly 60 -70% (nearly 1.2 million people) of these amputations were performed on the lower-limb, with the majority being below-knee, transtibial amputation [3]. The leading causes of lower-limb amputations are due to diabetes mellitus and other diseases associated with it, such as peripheral vascular disease, cardiovascular disease, and obesity [3]- [5].…”

Section: Introduction Motivationmentioning

confidence: 99%

“…Roughly 60 -70% (nearly 1.2 million people) of these amputations were performed on the lower-limb, with the majority being below-knee, transtibial amputation [3]. The leading causes of lower-limb amputations are due to diabetes mellitus and other diseases associated with it, such as peripheral vascular disease, cardiovascular disease, and obesity [3]- [5]. It is estimated that the number of amputations caused by these vascular diseases could double by the year 2050 [2].…”

Section: Introduction Motivationmentioning

confidence: 99%

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Estimation of Multi-Directional Ankle Impedance as a Function of Lower Extremity Muscle Activation

Knop¹

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Evolving Indications for Lower Limb Amputations in South Africa Offer Opportunities for Health System Improvement

et al. 2020

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Background Rapid urbanization and westernization have precipitated dramatic changes in the profile and prevalence of surgical diseases in sub-Saharan Africa. Disease of lifestyle is now common. We aimed to review our experience with lower-limb amputations at our surgical service in South Africa. Methods A single-center retrospective review of a prospectively collected database was performed of all patients who underwent a lower limb amputation. Inferential and descriptive statistics were performed. Patient demographics, indication, type of amputation, and management were reviewed. The primary outcome was 30-day in-patient mortality rate. Results Over a 5-year period (2013-2018), 348 patients underwent lower limb amputations. The median age was 61.5 years. 53.7% were diabetic and 56.3% were hypertensive. 53.2% had associated peripheral vascular disease and 8% preexisting cardiac disease. 30.7% smoked. Guillotine below-knee amputation was frequently performed (44.5% of amputations). 16.1% of these patients required a further operation. The in-hospital mortality rate was 8%. Underlying renal disease was an independent risk factor for mortality (p = 0.004). Conclusion Currently, the most common indications for LLA in South Africa are diabetes mellitus and atherosclerosis. This reflects the changing pattern of disease in the country. There is a major problem with access to health care in rural areas in South Africa with significant delays in getting patients to tertiary units for evaluation by specialists. Foot care and prevention at a primary health care level is also lacking. Global improvements in the healthcare system are needed to improve LLA rates in South Africa.

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A five-year audit of lower limb amputations below the knee and rehabilitation outcomes: the Durban experience

Cited by 12 publications

References 14 publications

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method

Estimation of Multi-Directional Ankle Impedance as a Function of Lower Extremity Muscle Activation

Evolving Indications for Lower Limb Amputations in South Africa Offer Opportunities for Health System Improvement

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