Características clínicas y demográficas del paciente amputado.

Farro, Luis; Tapia, Raquel; Bautista, Luz; Montalvo, Rosa; Iriarte, Hermelinda

doi:10.20453/rmh.v23i4.845

Cited by 13 publications

(5 citation statements)

References 1 publication

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“…De acuerdo con recientes estudios nacionales 10-12 e internacionales [13][14][15] , los resultados de este trabajo muestran que los grandes afectados por estas intervenciones son los hombres, cuyo porcentaje de amputados triplica al del mujeres, a pesar de que estas presentan una edad media más alta y peor perfil clínico previo.…”

Section: Discussionunclassified

Diferencias según el género en el perfil clínico de riesgo del paciente amputado de miembro inferior

Gutiérrez-Fernández¹,

Andrés²,

Salmerón-Febres³

et al. 2021

CIRU

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Objetivo: Analizar las diferencias según el sexo en el perfil clínico de riesgo de los pacientes amputados de miembro inferior por causa no traumática. Método: Estudio retrospectivo descriptivo con 697 pacientes amputados de miembro inferior por causa no traumática, en un Servicio de Angiología y Cirugía Vascular, durante un periodo de 5 años y divididos en función del sexo. Se analizaron variables demográficas (edad) y clínicas (causa, comorbilidad, factores de riesgo cardiovascular y nivel de amputación). Resultados: La edad media (± desviación estándar) de las mujeres fue mayor (75.3 ± 12 frente a 68.9 ± 11 años; p < 0.001) y ellas presentaron mayor frecuencia de factores de riesgo cardiovascular concomitantes, tales como diabetes, hipertensión y obesidad, que los varones, mientras que ellos presentaron mayor frecuencia de tabaquismo. No hubo diferencia significativa entre sexos respecto a la distribución de las causas de amputación, siendo la principal causa la isquémica, destacando la arteriosclerosis. Las mujeres presentaron mayor frecuencia y predisposición para un nivel de amputación mayor. Conclusiones: En nuestro estudio, las mujeres presentaron un perfil de riesgo cardiovascular más desfavorable y el sexo femenino fue un predictor independiente de amputación mayor de miembro inferior por causa no traumática.

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Section: Discussionunclassified

Diferencias según el género en el perfil clínico de riesgo del paciente amputado de miembro inferior

Gutiérrez-Fernández¹,

Andrés²,

Salmerón-Febres³

et al. 2021

CIRU

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“…In Perú, most of the limb amputations occurred in lower-limb amputation (78.1%) and it is caused mainly by diabetic angiopathy (53). During the period 1989-1997, the frequency of amputation among DF patients was 61% (n= 206 DF inpatients, mean age was 61.4 years (range 27.-86)) (47).…”

Section: Amputation Of the Diabetic Footmentioning

confidence: 99%

The landscape of diabetic foot in Peru

et al. 2021

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Diabetic foot (DF) is one of the main complications responsible for the significant deterioration of the quality of life in diabetic patients, particularly, in developing countries. In Peru, 18.9% of diabetic inpatients present DF and 61% develop a foot sepsis. Therefore, the burden of DF is considerable in the country. In this work, we summarize the current scientific evidence of DF in the Peruvian population describing its epidemiology, risk factors, increase of time of hospitalization, bacterial resistance, rate of amputations, and the theoretical medical costs for disease management. According to the reviewed literature, we suggest that more local research should be conducted to better understand the impact of the DF on the Peruvian population.

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“…In the United States, it is estimated that over 185,000 individuals experience some form of amputation each year [2], with more than 150,000 of these cases involving lower-limb amputations [3]. Lower-limb amputations are a significant cause of locomotor [4] and functional difficulty for the individual, leading to physical, psychological, family, and personal impacts [5]. Additionally, it has been observed that in transtibial amputees, the loss of ankle power generation increases metabolic energy costs by 20-30% [6].…”

Section: Introductionmentioning

confidence: 99%

EMG and IMU Data Fusion for Locomotion Mode Classification in Transtibial Amputees

Gonzales-Huisa,

Oshiro,

Abarca

et al. 2023

Prosthesis

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Despite recent advancements in prosthetic technology, lower-limb amputees often remain limited to passive prostheses, which leads to an asymmetric gait and increased energy expenditure. Developing active prostheses with effective control systems is important to improve mobility for these individuals. This study presents a machine-learning-based approach to classify five distinct locomotion tasks: ground-level walking (GWL), ramp ascent (RPA), ramp descent (RPD), stairs ascent (SSA), and stairs descent (SSD). The dataset comprises fused electromyographic (EMG) and inertial measurement unit (IMU) signals from twenty non-amputated and five transtibial amputated participants. EMG sensors were strategically positioned on the thigh muscles, while IMU sensors were placed on various leg segments. The performance of two classification algorithms, support vector machine (SVM) and long short-term memory (LSTM), were evaluated on segmented data. The results indicate that SVM models outperform LSTM models in accuracy, precision, and F1 score in the individual evaluation of amputee and non-amputee datasets for 80–20 and 50–50 data distributions. In the 80–20 distribution, an accuracy of 95.46% and 95.35% was obtained with SVM for non-amputees and amputees, respectively. An accuracy of 93.33% and 93.30% was obtained for non-amputees and amputees by using LSTM, respectively. LSTM models show more robustness and inter-population generalizability than SVM models when applying domain-adaptation techniques. Furthermore, the average classification latency for SVM and LSTM models was 19.84 ms and 37.07 ms, respectively, within acceptable limits for real-time applications. This study contributes to the field by comprehensively comparing SVM and LSTM classifiers for locomotion tasks, laying the foundation for the future development of real-time control systems for active transtibial prostheses.

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Características clínicas y demográficas del paciente amputado.

Cited by 13 publications

References 1 publication

Diferencias según el género en el perfil clínico de riesgo del paciente amputado de miembro inferior

Diferencias según el género en el perfil clínico de riesgo del paciente amputado de miembro inferior

The landscape of diabetic foot in Peru

EMG and IMU Data Fusion for Locomotion Mode Classification in Transtibial Amputees

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