ABSTRACT
Regarding motor processes, modeling healthy people's brains is essential to understand the brain activity in people with motor impairments. However, little research has been undertaken when external forces disturb limbs, having limited information on physiological pathways. Therefore, in this paper, a nonlinear delay differential embedding model is used to estimate the brain response elicited by externally controlled wrist movement in healthy individuals. The aim is to improve the understanding of the relationship between a controlled wrist movement and the generated cortical activity of healthy people, helping to disclose the underlying mechanisms and physiological relationships involved in the motor event. To evaluate the model, a public database from the Delft University of Technology is used, which contains electroencephalographic recordings of ten healthy subjects while wrist movement was externally provoked by a robotic system. In this work, the cortical response related to movement is identified via Independent Component Analysis and estimated based on a nonlinear delay differential embedding model. After a cross-validation analysis, the model performance reaches 90.21% ± 4.46% Variance Accounted For, and Correlation 95.14% ± 2.31%. The proposed methodology allows to select the model degree, to estimate a general predominant operation mode of the cortical response elicited by wrist movement. The obtained results revealed two facts that had not previously been reported: the movement's acceleration affects the cortical response, and a common delayed activity is shared among subjects. Going forward, identifying biomarkers related to motor tasks could aid in the evaluation of rehabilitation treatments for patients with upper limbs motor impairments.
Subject(s)
Movement , Nonlinear Dynamics , Wrist , Humans , Wrist/physiology , Male , Movement/physiology , Adult , Electroencephalography , Female , Young AdultABSTRACT
(1) Background: An elevated wrist circumference may indicate excess weight and cardiometabolic risk. The present study aims to identify wrist circumference cutoff points (WrC) to determine excess weight levels and predict cardiometabolic risk in adults. (2) Methods: A cross-sectional study was conducted with adults aged 20 to 59 years old, attending the outpatient clinic at University Hospital/Federal University of Sergipe HU/UFS-EBSERH. Demographic, anthropometric, biochemical, and blood pressure (BP) data were collected. Cardiometabolic risk was assessed, according to the global risk score (ERG) and Framingham score criteria. The descriptive analysis included calculating medians and frequencies of anthropometric, demographic, biochemical, and blood pressure variables. The gender and age of adult groups were compared using the Mann-Whitney test. Spearman's correlation coefficient and multiple regression analysis were used to assess the association between wrist circumference (WrC) and the variables mentioned above. The predictive validity of WrC in identifying excess weight levels and cardiometabolic risk was analyzed using the ROC curve. The sample consisted of 1487 adults aged 20 to 59 years, 55.7% of whom were female; (3) Results: WrC correlated positively with other adiposity indicators such as waist circumference and Body Mass Index. WrC was the anthropometric indicator most significantly associated with cardiometabolic risk factors. WrC cutoff points identified by the study for determining excess weight were categorized by gender and age group. For males aged 20 to 40 years and >40 years, respectively, the cutoff points for overweight were 17.1 cm and 17.3 cm, and for obesity, 17.9 cm and 17.5 cm. For females aged 20 to 40 years and >40 years, respectively, the cutoff points for overweight were 15.6 cm and 15.4 cm, and for obesity, 16.1 cm and 16 cm (4). Conclusions: Wrist circumference showed a significant correlation with other adiposity indicators and can be used to identify adults with excess weight and predict cardiometabolic risk.
Subject(s)
Overweight , Wrist , Humans , Adult , Male , Female , Middle Aged , Cross-Sectional Studies , Wrist/anatomy & histology , Young Adult , Overweight/epidemiology , Risk Factors , Cardiovascular Diseases/epidemiology , Anthropometry , Body Mass Index , Cardiometabolic Risk FactorsABSTRACT
STUDY OBJECTIVES: The aim of this study was to develop a sleep staging classification model capable of accurately performing on different wearable devices. METHODS: Twenty-three healthy participants underwent a full-night type I polysomnography and used two device combinations: (A) flexible single-channel electroencephalogram (EEG) headband + actigraphy (n = 12) and (B) rigid single-channel EEG headband + actigraphy (n = 11). The signals were segmented into 30-second epochs according to polysomnographic stages (scored by a board-certified sleep technologist; model ground truth) and 18 frequency and time features were extracted. The model consisted of an ensemble of bagged decision trees. Bagging refers to bootstrap aggregation to reduce overfitting and improve generalization. To evaluate the model, a training dataset under 5-fold cross-validation and an 80-20% dataset split was used. The headbands were also evaluated without the actigraphy feature. Participants also completed a usability evaluation (comfort, pain while sleeping, and sleep disturbance). RESULTS: Combination A had an F1-score of 98.4% and the flexible headband alone of 97.7% (error rate for N1: combination A = 9.8%; flexible headband alone = 15.7%). Combination B had an F1-score of 96.9% and the rigid headband alone of 95.3% (error rate for N1: combination B = 17.0%; rigid headband alone = 27.7%); in both, N1 was more confounded with N2. CONCLUSIONS: We developed an accurate sleep classification model based on a single-channel EEG device, and actigraphy was not an important feature of the model. Both headbands were found to be useful, with the rigid one being more disruptive to sleep. Future research can improve our results by applying the developed model in a population with sleep disorders. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Actigraphy, Wearable EEG Band and Smartphone for Sleep Staging; URL: https://clinicaltrials.gov/study/NCT04943562; Identifier: NCT04943562. CITATION: Melo MC, Vallim JRS, Garbuio S, et al. Validation of a sleep staging classification model for healthy adults based on 2 combinations of a single-channel EEG headband and wrist actigraphy. J Clin Sleep Med. 2024;20(6):983-990.
Subject(s)
Actigraphy , Electroencephalography , Polysomnography , Sleep Stages , Adult , Female , Humans , Male , Actigraphy/instrumentation , Actigraphy/methods , Actigraphy/statistics & numerical data , Electroencephalography/instrumentation , Electroencephalography/methods , Healthy Volunteers , Polysomnography/instrumentation , Polysomnography/methods , Reproducibility of Results , Sleep Stages/physiology , Wearable Electronic Devices , Wrist/physiologyABSTRACT
The remote monitoring of vital signs and healthcare provision has become an urgent necessity due to the impact of the COVID-19 pandemic on the world. Blood oxygen level, heart rate, and body temperature data are crucial for managing the disease and ensuring timely medical care. This study proposes a low-cost wearable device employing non-contact sensors to monitor, process, and visualize critical variables, focusing on body temperature measurement as a key health indicator. The wearable device developed offers a non-invasive and continuous method to gather wrist and forehead temperature data. However, since there is a discrepancy between wrist and actual forehead temperature, this study incorporates statistical methods and machine learning to estimate the core forehead temperature from the wrist. This research collects 2130 samples from 30 volunteers, and both the statistical least squares method and machine learning via linear regression are applied to analyze these data. It is observed that all models achieve a significant fit, but the third-degree polynomial model stands out in both approaches. It achieves an R2 value of 0.9769 in the statistical analysis and 0.9791 in machine learning.
Subject(s)
Body Temperature , Wearable Electronic Devices , Humans , Wrist/physiology , Temperature , PandemicsABSTRACT
In upper extremity peripheral nerve injuries, orthotic intervention has been used as a valuable device to restore function. However, there is lacking evidence to support it. The purpose of this study was to explore the application of body function's outcome measures for orthotic intervention evaluation in patients with peripheral nerve injury. Two participants sustaining a peripheral nerve injury who underwent orthotic intervention were assessed: subject 1 was a 25-year-old man with ulnar and median nerve injury presenting with a composite claw; subject 2, a 28-year-old man with radial nerve injury presenting with a dropped wrist. Strength, range of motion, and electromyography were measured in 2 conditions: wearing the orthosis and without it. The Jamar, Pinch Gauge, a 3D motion capture system (Optitrack-NaturalPoint), and surface electromyography (Trigno Wireless System, Delsys) were the chosen instruments. Both subjects presented differences in grip and pinch strength. In both tasks, subject 1 reached higher wrist extension while wearing the orthosis. Subject 2 reached higher wrist extension and radial deviation while wearing the orthosis. There were marked differences in both tasks for subject 2, especially the maintenance of wrist extension when wearing the orthosis. Electromyographic assessment showed higher root-mean-square values for all muscles, in both tasks for subject 1. For subject 2, a higher root-mean-square value was found for flexor carpi ulnaris during the execution of task 1 wearing the orthosis. Outcome measures of body function can quantify the impact of orthotic intervention in patients sustaining peripheral nerve injury, and therefore, they are feasible for evaluating it.
Subject(s)
Peripheral Nerve Injuries , Male , Humans , Adult , Peripheral Nerve Injuries/therapy , Upper Extremity , Wrist/physiology , Wrist Joint , Orthotic Devices , Outcome Assessment, Health CareABSTRACT
Wearable technologies have aided in reducing pathological tremor symptoms through non-intrusive solutions that aim to identify patterns in involuntary movements and suppress them using actuators positioned at specific joints. However, during the development of these devices, tests were primarily conducted on patients due to the difficulty of faithfully simulating tremors using simulation equipment. Based on studies characterizing tremors in Parkinson's disease, the development of a robotic manipulator based on the Stewart platform was initiated, with the goal of satisfactorily simulating resting tremor movements in the hands. In this work, a simulator was implemented in a computational environment using the multibody dynamics method. The platform structure was designed in a virtual environment using SOLIDWORKS® v2017 software and later exported to Matlab® R17a software using the Simulink environment and Simscape multibody library. The workspace was evaluated, and the Kalman filter was used to merge acceleration and angular velocity data and convert them into data related to the inclination and rotation of real patients' wrists, which were subsequently executed in the simulator. The results show a high correlation and low dispersion between real and simulated signals, demonstrating that the simulated mechanism has the capacity to represent Parkinson's disease resting tremors in all wrist movements. The system could contribute to conducting tremor tests in suppression devices without the need for the presence of the patient and aid in comparing suppression techniques, benefiting the development of new wearable devices.
Subject(s)
Parkinson Disease , Tremor , Humans , Tremor/diagnosis , Parkinson Disease/diagnosis , Hand , Wrist , AccelerationABSTRACT
Carpal tunnel syndrome (CTS) is a peripheral mononeuropathy caused by compression of the median nerve at the wrist and has been reported in workers who perform repetitive movements that involve actions of sustained grasping of vibrating objects. We carried out a cross-sectional analytical study in March 2018 to identify the factors associated with the CTS among workers of agro-export companies in Ica-Peru. CTS confirmation in our study was based on having at least 1 positive screening test (Tinel or Phalen) and a presumptive result of CTS by the Kamath and Stothard Questionnaire. We carried out 4 Poisson regression models to evaluate the factors associated with CTS based on epidemiological and statistical criteria. We enrolled 112 agro-export workers in production (42.0%), packing (35.7%), and administration (22.3%) working areas. The CTS frequency in Peruvian agro-export workers in production, packing, and administrative working area were 78.7%, 45.0%, and 28.0%, respectively. The bivariate analysis found a relationship between the CTS with age, female sex, sports practice, job seniority in the working area (year), and repetitive wrist movements (hours per day). In the multivariate analysis, only job seniority in the working area (year) and repetitive wrist movements maintained their association with CTS. Occupational factors are significantly associated with a high frequency of CTS, such as job seniority in the working area (year) and repetitive wrist movements in agro-export workers. Surveillance programs should be held to prevent, reduce, and monitor workers' health status.
Subject(s)
Carpal Tunnel Syndrome , Occupational Diseases , Humans , Female , Carpal Tunnel Syndrome/epidemiology , Cross-Sectional Studies , Peru , Wrist/physiology , Median Nerve , Occupational Diseases/epidemiology , Risk FactorsABSTRACT
BACKGROUND: The validity of the ULTT is unclear, due to heterogeneity of test procedures and variability in the definition of a positive test OBJECTIVE: To evaluate test procedures and positive diagnostic criteria for the upper limb tension test (ULTT) in diagnostic test accuracy studies. METHODS: A systematic review of diagnostic accuracy studies was performed. We conducted a search of the DiTA (Diagnostic Test Accuracy) database and selected primary studies evaluating the diagnostic accuracy of the ULTT. We assessed risk of bias, performed data extraction on study characteristics, test procedures, and positive diagnostic criteria, and performed a descriptive analysis. RESULTS: We included nine studies (681 participants), four diagnosing people with cervical radiculopathy (CR), four diagnosing people with carpal tunnel syndrome (CTS), and one included both CR and CTS. The risk of bias varied between 2 and 6 out of 6 positive items. Eight studies reported on the ULTT1 (median nerve). Overall, all studies clearly described their test procedures and positive diagnostic criteria although the order of movements and the diagnostic criteria between studies varied. We suggest a more standardised test procedure for the ULTT1 to consist of: 1) stabilising the shoulder in abduction, 2) extending the wrist/fingers, 3) supinating the forearm, 4) externally rotating the shoulder, 5) extending the elbow, and finally 6) performed structural differentiation by side bending (lateral flexion) of the neck. This proposed test procedure should reproduce the symptoms and enables the clinician to evaluate whether symptoms increase/decrease when stressing or relaxing the nerves. CONCLUSION: Based on our findings we proposed a more standardised test procedure for the ULTT1 with accompanying positive diagnostic criteria to facilitate homogeneity in future diagnostic accuracy studies of the ULTT.
Subject(s)
Carpal Tunnel Syndrome , Physical Examination , Humans , Upper Extremity/physiology , Wrist , Carpal Tunnel Syndrome/diagnosis , FingersABSTRACT
SUMMARY: Distal radius fractures are the most common fractures of the upper limb. The most commonly used method in the repair of these fractures is volar locking plates. Recently, the frequency of removal of volar locking plates after surgery has increased. There are many factors in its reduction. Anatomically, incompatibility of the distal end of the radius with volar locking plates is one of them. In previous studies, different volar cortical angle (VCA) values were found in other races. For this reason, this study aimed to determine the mean values by making VCA measurements of the Anatolian population. The study was designed retrospectively. In the study, measurements were made on computed tomography (CT) images of the distal end of the radius of 53 men and 28 women. Radial width, intermediate volar angle, and radial volar angle were measured in the images. On average, the radius width was 23.35±1.96 mm, and the intermediate volar angle was 26.02±.3.83°, radial volar angle was 24±3.07°. Radial width, intermediate volar angle, and radial volar angle differed significantly by gender (p<0.001). A significant correlation was found between radius width, intermediate volar angle, and radial volar angle values (p<0.001). It has been determined that the Anatolian population has a different VCA value than the European, Asian, and other populations. When using volar locking plates in distal radius fracture surgery, volar locking plates should be selected by considering the average values of the races.
Las fracturas del radio distal son las fracturas más comunes del miembro superior. El método más utilizado en la reparación de estas fracturas son las placas de bloqueo volar. Recientemente, ha aumentado la frecuencia de extracción de placas de bloqueo volar después de la cirugía. Existen muchos factores en su reducción y anatómicamente, la incompatibilidad de la extremidad distal del radio con las placas de bloqueo volar es una de ellas. En estudios anteriores, se encontraron diferentes valores del ángulo cortical volar (VCA) en otras grupos. Por esta razón, este estudio tuvo como objetivo determinar los valores medios, realizando mediciones de VCA de la población de Anatolia. El estudio fue diseñado de manera retrospectiva. En el estudio, se realizaron mediciones en imágenes de tomografía computarizada (TC) de la extremidad distal del radio de 53 hombres y 28 mujeres. En las imágenes se midieron el ancho radial, el ángulo volar intermedio y el ángulo volar radial. En promedio, el ancho del radio fue de 23,35 ± 1,96 mm, el ángulo volar intermedio fue de 26,02 ± 3,83° y el ángulo volar radial fue de 24 ± 3,07°. El ancho radial, el ángulo volar intermedio y el ángulo volar radial difirieron significativamente según el sexo (p<0,001). Se encontró una correlación significativa entre los valores del ancho del radio, el ángulo volar intermedio y el ángulo volar radial (p<0,001). Se ha determinado que la población de Anatolia tiene un valor de VCA diferente al de las poblaciones europeas, asiáticas y otras. Cuando se utilizan placas de bloqueo volar en cirugía de fractura de la extremidad distal del radio, las placas deben seleccionarse considerando los valores promedio de los individuos de diferentes grupos.
Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Radius/diagnostic imaging , Wrist/diagnostic imaging , Radius/anatomy & histology , Turkey , Wrist/anatomy & histology , Tomography, X-Ray Computed , Retrospective StudiesABSTRACT
The neurophysiological mechanisms underlying muscle force control for different wrist postures still need to be better understood. To further elucidate these mechanisms, the present study aimed to investigate the effects of wrist posture on the corticospinal excitability by transcranial magnetic stimulation (TMS) of extrinsic (flexor [FCR] and extensor carpi radialis [ECR]) and intrinsic (flexor pollicis brevis (FPB)) muscles at rest and during a submaximal handgrip strength task. Fourteen subjects (24.06 ± 2.28 years) without neurological or motor disorders were included. We assessed how the wrist posture (neutral: 0°; flexed: +45°; extended: -45°) affects maximal handgrip strength (HGSmax ) and the motor evoked potentials (MEP) amplitudes during rest and active muscle contractions. HGSmax was higher at 0° (133%) than at -45° (93.6%; p < 0.001) and +45° (73.9%; p < 0.001). MEP amplitudes were higher for the FCR at +45° (83.6%) than at -45° (45.2%; p = 0.019) and at +45° (156%; p < 0.001) and 0° (146%; p = 0.014) than at -45° (106%) at rest and active condition, respectively. Regarding the ECR, the MEP amplitudes were higher at -45° (113%) than at +45° (60.8%; p < 0.001) and 0° (72.6%; p = 0.008), and at -45° (138%) than +45° (96.7%; p = 0.007) also at rest and active conditions, respectively. In contrast, the FPB did not reveal any difference among wrist postures and conditions. Although extrinsic and intrinsic hand muscles exhibit overlapping cortical representations and partially share the same innervation, they can be modulated differently depending on the biomechanical constraints.
Subject(s)
Hand Strength , Muscle, Skeletal , Humans , Electromyography , Hand Strength/physiology , Muscle, Skeletal/physiology , Wrist/physiology , Upper Extremity , Muscle Contraction/physiology , Evoked Potentials, Motor/physiology , Transcranial Magnetic StimulationABSTRACT
There is wide variability in the management of patients on antithrombotic therapy requiring surgery of the hand and wrist. There are no specific guidelines regarding whether to temporarily cease or continue oral anticoagulants and antiplatelet agents. Discontinuation of these medications before surgery can lead to perioperative thromboembolic or ischemic events. On the other hand, continuation can lead to intraoperative or postoperative bleeding complications. This review discusses various anticoagulants and antiplatelet agents with special considerations for their management, analyzes the current literature, summarizes current recommendations, and provides direction for additional research.
Subject(s)
Platelet Aggregation Inhibitors , Wrist , Humans , Platelet Aggregation Inhibitors/adverse effects , Anticoagulants/adverse effects , Postoperative Hemorrhage/prevention & control , Postoperative Complications/prevention & controlABSTRACT
This work provides a complete dataset containing surface electromyography (sEMG) signals acquired from the forearm with a sampling frequency of 1000 Hz. The dataset is named WyoFlex sEMG Hand Gesture and recorded the data of 28 participants between 18 and 37 years old without neuromuscular diseases or cardiovascular problems. The test protocol consisted of sEMG signals acquisition corresponding to ten wrist and grasping movements (extension, flexion, ulnar deviation, radial deviation, hook grip, power grip, spherical grip, precision grip, lateral grip, and pinch grip), considering three repetitions for each gesture. Also, the dataset contains general information such as anthropometric measures of the upper limb, gender, age, laterally of the person, and physical condition. Likewise, the implemented acquisition system consists of a portable armband with four sEMG channels distributed equidistantly for each forearm. The database could be used for the recognition of hand gestures, evaluation of the evolution of patients in rehabilitation processes, control of upper limb orthoses or prostheses, and biomechanical analysis of the forearm.
Subject(s)
Artificial Limbs , Forearm , Humans , Adolescent , Young Adult , Adult , Electromyography/methods , Wrist , Gestures , HandABSTRACT
INTRODUCTION: Physical boundaries to access skilled orthotist or hand therapy care may be hindered by multiple factors, such as geography, or availability. This study evaluated the accuracy of fitting a prefabricated wrist splint using an app on a smart device. We hypothesize that remote brace fitting by artificial intelligence (AI) can accurately determine the brace size the patient needs without in-person fitting. METHODS: Healthy volunteers were recruited to fit wrist braces. Using 2 standardized calibrated images captured by the smart device, each subject's image was loaded into the machine learning software (AI). Later, hand features were extracted, calibrated, and measured the application, calculated the correct splint size, and compared with the splint chosen by our subjects to improve its own accuracy. As a control (control 1), the subjects independently selected the best brace fit from an array of available splints. Subject selection was recorded and compared with the AI fit splint. As the second method of fitting (control 2), we compared the manufacturer recommended brace size (based on measured wrist circumference and provided sizing chart/insert brochure) with the AI fit splint. RESULTS: A total of 54 volunteers were included. Thirty-two splints predicted by the algorithm matched the exact size chosen by each subject yielding 70% accuracy with a standard deviation of 10% ( p < 0.001). The accuracy increased to 90% with 5% standard deviation if the splints were predicted within the next size category. Fit by manufacturer sizing chart was only 33% in agreement with participant selection. CONCLUSION: Remote brace fitting using AI prediction model may be an acceptable alternative to current standards because it can accurately predict wrist splint size. As more subjects were analyzed, the AI algorithm became more accurate predicting proper brace fit. In addition, AI fit braces are more than twice as accurate as relying on the manufacturer sizing chart.
Subject(s)
Braces , Wrist , Humans , Artificial Intelligence , Hand , Wrist Joint , SplintsABSTRACT
Os indivíduos canhotos necessitam de utensílios para concretização de suas atividades diárias, bem como, para o exercício da prática odontológica onde a escassez de equipamentos específicos pode refletir em desgaste corporal, com isso, o presente trabalho tem por objetivo identificar os estudantes canhotos do curso de Odontologia da Universidade Federal de Uberlândia além de identificar suas dificuldades, queixas e locais de dores osteomusculares nas atividades laboratoriais e clínicas. Métodos: Foram incluídos todos os alunos canhotos matriculados no ano de 2021. Foram aplicados questionários on line para coletar os dados dos alunos. Resultados: Foram tabulados e como resultados, encontrou-se que os canhotos representam 5,6% do total de alunos do curso de Odontologia, a maioria são mulheres (66,7%), com média de idade de 21 anos. O segundo período foi o que apresentou maior número de canhotos (25%). As atividades práticas do curso, estas foram cursadas por 91,7% dos entrevistados, que relataram com maior frequência usar a mão esquerda (62,5%), sentar na posição de 1 hora (20,8%) e ter maior dificuldade ao tratar o quadrante superior direito (45,8%). Os locais mais citados de dores osteomusculares após realizar essas atividades, foram: punhos e mãos (62,5%), parte inferior das costas (62,5%) e pescoço (58,3%). Conclusão: Os canhotos representam a minoria dos alunos e suas dificuldades são, a falta de estrutura física adequada e a incompreensão das pessoas ao redor. Em relação a queixa de dor ou desconforto, mãos, punhos, parte inferior das costas e pescoço foram os membros mais citados no estudo(AU)
Left-handed individuals need tools to carry out their daily activities, as well as for the exercise of dental practice where the scarcity of specific equipment can reflect on body wear, with this, the present work aims to identify left-handed students of the course of Dentistry at the Federal University of Uberlândia, in addition to identifying their difficulties, complaints and sites of musculoskeletal pain in laboratory and clinical activities. Methods: All left-handed students enrolled in the year 2021 were included, and three questionnaires were applied online to identify the profile of students and the difficulties encountered in laboratory and clinical practice. Results: They were tabulated and as a result, it was found that left-handers represent 5.6% of the total number of students in the Dentistry course, most of them are women (66.7%), with a mean age of 21 years. The second period was the one with the highest number of left-handers (25%). The practical activities of the course were carried out by 91.7% of the interviewees, who reported more frequently using their left hand (62.5%), sitting in the 1 o'clock position (20.8%) and having greater difficulty when treat the upper right quadrant (45.8%). The most cited sites of musculoskeletal pain after performing these activities were: wrists and hands (62.5%), lower back (62.5%) and neck (58.3%). Conclusion: Lefthanded people represent the minority of students, and their difficulties are the lack of adequate physical structure and the misunderstanding of the people around them. In relation to complaints of pain or discomfort, hands, wrists, lower back and neck were the most cited members in the study(AU)
Subject(s)
Humans , Male , Female , Adult , Dentists , Musculoskeletal Pain , Functional Laterality , Students , Wrist , Cumulative Trauma Disorders , Sitting Position , Hand , Ergonomics , Neck , Occupational DiseasesABSTRACT
Patients with radial-sided wrist pain can be challenging to diagnose and treat. Various physicians, including emergency physicians, primary care physicians, and orthopedic or plastic surgeons can be involved in the initial and subsequent evaluation. We delve into the differential diagnosis of radial-sided wrist pain including osteoarticular, ligament, tendon, nerve, and other pathologies. We review the physical exam findings, diagnostic studies, and treatment options for each pathology based on recent and updated literature.
Los casos de pacientes que presentan dolor radial de muñeca pueden ser de difícil diagnóstico y tratamiento. Varias especialidades médicas, incluidas emergentólogos, médicos de atención primaria, cirujanos ortopédicos o cirujanos plásticos, pueden estar involucrados desde el inicio de la patología y subsecuente evaluación. Profundizamos aquí en el diagnóstico diferencial del dolor radial de muñeca incluyendo las debidas a patologías osteoarticulares, ligamentosas, tendinopatías y neuropatías, entre otras. Esta revisión incluye examen físico, estudios diagnósticos, y opciones terapéuticas para cada condición con base en la literatura reciente y actualizada.