Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 64
Filter
1.
Cien Saude Colet ; 27(11): 4107-4116, 2022 Nov.
Article in Portuguese, English | MEDLINE | ID: covidwho-20241514

ABSTRACT

The COVID-19 pandemic reached Brazil in a context of political and economic crises that have exacerbated existing inequalities and vulnerabilities. Individuals and organizations undertook actions to support others to mitigate the pandemic effects. Thirty-four interviews were conducted from October to November 2020 to identify the supportive actions to help others, analyzing them concerning (pandemic) solidarity. Solidarity and individualism frequently appeared in the interviews as qualifiers of such actions. Furthermore, we identified three cores in which these actions were staged: the family, the condominium, and the community. The family was mentioned as mutual support based on kinship. On the other hand, condominium actions were subdivided into intramural (mutual support actions among similar people) and extramural actions (which reveal the differentiation between the condominium and more impoverished places). The community emerges as a more powerful type of action, with self-management, mutual support, and shared vulnerability experiences. In this sense, the results encourage us to understand solidarity as a way of transforming society, regardless of the State's presence.


A pandemia de COVID-19 chegou ao Brasil em um contexto de crises política e econômica que aprofundaram desigualdades e vulnerabilidades já existentes. Ações de apoio ao outro foram empreendidas por pessoas e organizações no sentido de mitigar os efeitos da pandemia. Foram realizadas 34 entrevistas entre outubro e novembro de 2020 com a finalidade de identificar as ações de apoio efetivadas para ajudar o outro, analisando-as em termos de solidariedade (pandêmica). Solidariedade e individualismo apareceram com frequência nas entrevistas como qualificadores das ações. Além disso, foram identificados três núcleos em que essas ações foram operadas: a família, o condomínio e a comunidade. A família foi citada como forma de suporte mútuo fundamentado pelo parentesco. Já as ações do condomínio se subdividiram entre as ações para dentro dos muros (de suporte mútuo entre semelhantes) e para fora dos muros (que revelam a diferenciação entre o condomínio e locais mais pobres). A comunidade se mostra como uma forma mais potente de ação, com experiências de autogestão, apoio mútuo e vulnerabilidade compartilhada. Nesse sentido, os resultados nos animam a compreender a solidariedade como método transformador da sociedade, independentemente da presença do Estado.


Subject(s)
COVID-19 , Pandemics , Humans , Pandemics/prevention & control , Brazil/epidemiology , Upper Extremity
2.
Neurorehabil Neural Repair ; 37(2-3): 83-93, 2023.
Article in English | MEDLINE | ID: covidwho-2311513

ABSTRACT

BACKGROUND: The Graded Redefined Assessment of Strength, Sensation, and Prehension (GRASSP V1.0) was developed in 2010 as a 3-domain assessment for upper extremity function after tetraplegia (domains: Strength, Sensibility, and Prehension). A remote version (rGRASSP) was created in response to the growing needs of the field of Telemedicine. OBJECTIVE: The purpose of this study was to assess the psychometric properties of rGRASSP, establishing concurrent validity and inter-rater reliability. METHODS: Individuals with tetraplegia (n = 61) completed 2 visits: 1 in-person and 1 remote. The first visit was completed in-person to administer the GRASSP, and the second visit was conducted remotely to administer the rGRASSP. The rGRASSP was scored both by the administrator of the rGRASSP (Examiner 1), and a second assessor (Examiner 2) to establish inter-rater reliability. Agreement between the in-person and remote GRASSP evaluations was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman agreement plots. RESULTS: The remote GRASSP demonstrated excellent concurrent validity with the GRASSP (left hand intraclass correlation coefficient (ICC) = .96, right ICC = .96). Concurrent validity for the domains was excellent for strength (left ICC = .96, right ICC = .95), prehension ability (left ICC = .94, right ICC = .95), and prehension performance (left ICC = .92, right ICC = .93), and moderate for sensibility (left ICC = .59, right ICC = .68). Inter-rater reliability for rGRASSP total score was high (ICC = .99), and remained high for all 4 domains. Bland-Altman plots and limits of agreements support these findings. CONCLUSIONS: The rGRASSP shows strong concurrent validity and inter-rater reliability, providing a psychometrically sound remote assessment for the upper extremity in individuals with tetraplegia.


Subject(s)
Spinal Cord Injuries , Humans , Reproducibility of Results , Quadriplegia , Upper Extremity , Sensation/physiology
3.
World Neurosurg ; 171: e391-e397, 2023 Mar.
Article in English | MEDLINE | ID: covidwho-2309542

ABSTRACT

OBJECTIVE: The purpose of the study is to examine presentation, injury patterns, and clinical course, for COVID-19-related peripheral nerve injury following mechanical ventilation. METHODS: A multicenter retrospective study of patients with COVID-19 complicated by acute respiratory distress syndrome (ARDS) that required mechanical ventilation was undertaken. Patient records were reviewed for intensive care unit and intubation characteristics, prone or lateral decubitus positioning, and the onset of neuropathy diagnosis. RESULTS: Between September 2020 and January 2022, 11 patients were diagnosed with peripheral neuropathy, including 9 with brachial plexopathy following COVID-19 infection. Each patient developed ARDS requiring mechanical ventilation for a median of 39 days. Six patients (54.5%) underwent prone positioning and 1 lateral decubitus. Neuropathies involved 5 brachial pan-plexopathies, 2 incomplete brachial plexopathies, 2 lower trunk plexopathies, 1 radial neuropathy, and 1 bilateral ulnar neuropathy. At a mean follow-up of 10.2 months, patients with brachial pan-plexopathies demonstrated signs of reinnervation proximally, and 1 resolved to a radial mononeuropathy; however, the majority have demonstrated minimal clinical improvements. CONCLUSIONS: Our series demonstrates that peripheral neuropathies and especially brachial plexopathies have occurred following mechanical ventilation for ARDS-related COVID-19 infections. Contrary to prior COVID-19 studies, only 54.5% of these patients underwent prone positioning. Aside from a traumatic disturbance of prone positioning, the increased incidence of neuropathy may involve an atraumatic effect of COVID-19 via direct invasion of nerves, autoantibody targeting of nervous tissue, or hypercoagulation-induced microthrombotic angiopathy.


Subject(s)
Brachial Plexus Neuropathies , COVID-19 , Respiratory Distress Syndrome , Humans , COVID-19/complications , Retrospective Studies , Upper Extremity , Brachial Plexus Neuropathies/diagnosis , Respiratory Distress Syndrome/complications , Prone Position
4.
Comput Biol Med ; 158: 106877, 2023 05.
Article in English | MEDLINE | ID: covidwho-2268671

ABSTRACT

PROBLEM: Detecting COVID-19 from chest X-ray (CXR) images has become one of the fastest and easiest methods for detecting COVID-19. However, the existing methods usually use supervised transfer learning from natural images as a pretraining process. These methods do not consider the unique features of COVID-19 and the similar features between COVID-19 and other pneumonia. AIM: In this paper, we want to design a novel high-accuracy COVID-19 detection method that uses CXR images, which can consider the unique features of COVID-19 and the similar features between COVID-19 and other pneumonia. METHODS: Our method consists of two phases. One is self-supervised learning-based pertaining; the other is batch knowledge ensembling-based fine-tuning. Self-supervised learning-based pretraining can learn distinguished representations from CXR images without manually annotated labels. On the other hand, batch knowledge ensembling-based fine-tuning can utilize category knowledge of images in a batch according to their visual feature similarities to improve detection performance. Unlike our previous implementation, we introduce batch knowledge ensembling into the fine-tuning phase, reducing the memory used in self-supervised learning and improving COVID-19 detection accuracy. RESULTS: On two public COVID-19 CXR datasets, namely, a large dataset and an unbalanced dataset, our method exhibited promising COVID-19 detection performance. Our method maintains high detection accuracy even when annotated CXR training images are reduced significantly (e.g., using only 10% of the original dataset). In addition, our method is insensitive to changes in hyperparameters. CONCLUSION: The proposed method outperforms other state-of-the-art COVID-19 detection methods in different settings. Our method can reduce the workloads of healthcare providers and radiologists.


Subject(s)
COVID-19 , Humans , COVID-19/diagnostic imaging , Radiologists , Thorax , Upper Extremity , Supervised Machine Learning
5.
Neurorehabil Neural Repair ; 37(2-3): 131-141, 2023.
Article in English | MEDLINE | ID: covidwho-2257932

ABSTRACT

BACKGROUND: Enhanced neural plasticity early after stroke suggests the potential to improve outcomes with intensive rehabilitation therapy. Most patients do not get such therapy, however, due to limited access, changing rehabilitation therapy settings, low therapy doses, and poor compliance. OBJECTIVE: To examine the feasibility, safety, and potential efficacy of an established telerehabilitation (TR) program after stroke initiated during admission to an inpatient rehabilitation facility (IRF) and completed in the patient's home. METHODS: Participants with hemiparetic stroke admitted to an IRF received daily TR targeting arm motor function in addition to usual care. Treatment consisted of 36, 70-minute sessions (half supervised by a licensed therapist via videoconference), over a 6-week period, that included functional games, exercise videos, education, and daily assessments. RESULTS: Sixteen participants of 19 allocated completed the intervention (age 61.3 ± 9.4 years; 6 female; baseline Upper Extremity Fugl-Meyer [UEFM] score 35.9 ± 6.4 points, mean ± SD; NIHSS score 4 (3.75, 5.25), median, IQR; intervention commenced 28.3 ± 13.0 days post-stroke). Compliance was 100%, retention 84%, and patient satisfaction 93%; 2 patients developed COVID-19 and continued TR. Post-intervention UEFM improvement was 18.1 ± 10.9 points (P < .0001); Box and Blocks, 22.4 ± 9.8 blocks (P = .0001). Digital motor assessments, acquired daily in the home, were concordant with these gains. The dose of rehabilitation therapy received as usual care during this 6-week interval was 33.9 ± 20.3 hours; adding TR more than doubled this to 73.6 ± 21.8 hours (P < .0001). Patients enrolled in Philadelphia could be treated remotely by therapists in Los Angeles. CONCLUSIONS: These results support feasibility, safety, and potential efficacy of providing intense TR therapy early after stroke. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov; NCT04657770.


Subject(s)
COVID-19 , Stroke Rehabilitation , Stroke , Telerehabilitation , Humans , Female , Middle Aged , Aged , Stroke Rehabilitation/methods , Feasibility Studies , Telerehabilitation/methods , Upper Extremity , Treatment Outcome , Recovery of Function
6.
Int J Environ Res Public Health ; 19(24)2022 12 13.
Article in English | MEDLINE | ID: covidwho-2256088

ABSTRACT

We compared hand activity and force ratings in women and men doing identical hand-intensive work tasks. Musculoskeletal disorders are more common in women and hand-intensive work leads to an increased risk of these disorders. Knowledge of the gender influence in the rating of work exposure is lacking. The aim of this study was to investigate whether women and men performing identical hand-intensive work tasks were equally rated using hand activity and normalized peak force levels with the Hand Activity Threshold Limit Value®. Fifty-six workers participated, comprising 28 women-men pairs. Four observers-two woman-man pairs-were also involved. Self-ratings and observers' ratings of hand activity and force level were collected. The results of these ratings showed no significant gender differences in self-rated hand activity and force, as well as observer-rated hand activity. However, there was a significant gender difference in the observer-rated force, where the women were rated higher (mean (SD): women 3.9 (2.7), men 3.1 (1.8) (p = 0.01)). This difference remained significant in the adjusted model (p = 0.04) with grip strength and forearm-finger anthropometrics. The results provide new insights that observers' estimates of force can be higher in women compared with men in the same work tasks. Force should be further investigated and preferably compared to objective measurements.


Subject(s)
Musculoskeletal Diseases , Task Performance and Analysis , Male , Humans , Female , Hand , Upper Extremity , Fingers , Musculoskeletal Diseases/epidemiology , Musculoskeletal Diseases/etiology , Hand Strength
7.
Pan Afr Med J ; 44: 77, 2023.
Article in French | MEDLINE | ID: covidwho-2250743

ABSTRACT

Clinical manifestations of COVID-19 have changed a lot, ranging from respiratory and Ear, Nose and Throat (ENT) symptoms to extra pulmonary thrombotic, neurological, cardiac and renal complications. We here report the case of two patients with SARS-CoV-2 pneumonia whose course was marked by prolonged upper limb ischemia. The association between venous, but also arterial, thrombotic complications and viral infection is now well established, and appears to be related to hypercoagulability.


Subject(s)
COVID-19 , Gangrene , Humans , Gangrene/etiology , COVID-19/complications , SARS-CoV-2 , Upper Extremity , Ischemia/etiology
8.
Sensors (Basel) ; 23(4)2023 Feb 11.
Article in English | MEDLINE | ID: covidwho-2234273

ABSTRACT

This paper proposes an idea of Wireless Body Area Networks (WBANs) based on Bluetooth Low-Energy (BLE) standards to recognize and alarm a gesture of touching the face, and in effect, to prevent self-inoculation of respiratory viral diseases, such as COVID-19 or influenza A, B, or C. The proposed network comprises wireless modules placed in bracelets and a necklace. It relies on the received signal strength indicator (RSSI) measurements between the bracelet and necklace modules. The measured signal is cleared of noise using the exponential moving average (EMA). Next, we use a classification algorithm based on a Least-Squares Support Vector Machine (LSSVM) in order to detect facial touches. When the results of the classification indicate that the hand is moving toward the face, an alarm is sent through the neck module and the vibrator embedded in the wrist module is switched on. Based on the performed tests, it can be concluded that the proposed solution is characterized by high accuracy and reliability. It should be useful, especially for individuals who are regularly exposed to the risk of respiratory infections.


Subject(s)
COVID-19 , Influenza, Human , Humans , COVID-19/prevention & control , Reproducibility of Results , Upper Extremity , Algorithms
9.
Artif Intell Med ; 134: 102418, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2068693

ABSTRACT

The COVID-19 pandemic has been keeping asking urgent questions with respect to therapeutic options. Existing drugs that can be repurposed promise rapid implementation in practice because of their prior approval. Conceivably, there is still room for substantial improvement, because most advanced artificial intelligence techniques for screening drug repositories have not been exploited so far. We construct a comprehensive network by combining year-long curated drug-protein/protein-protein interaction data on the one hand, and most recent SARS-CoV-2 protein interaction data on the other hand. We learn the structure of the resulting encompassing molecular interaction network and predict missing links using variational graph autoencoders (VGAEs), as a most advanced deep learning technique that has not been explored so far. We focus on hitherto unknown links between drugs and human proteins that play key roles in the replication cycle of SARS-CoV-2. Thereby, we establish novel host-directed therapy (HDT) options whose utmost plausibility is confirmed by realistic simulations. As a consequence, many of the predicted links are likely to be crucial for the virus to thrive on the one hand, and can be targeted with existing drugs on the other hand.


Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Artificial Intelligence , Pandemics , Upper Extremity
10.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 1814-1817, 2022 07.
Article in English | MEDLINE | ID: covidwho-2018738

ABSTRACT

Open-access databases can facilitate data sharing among researchers and provide normative data for objective clinical assessment development, robotic design, and biomechanical modeling. However, most existing databases focus on gait, balance, and hand gestures without providing elbow and shoulder kinematics that are required in activities of daily living. Furthermore, the few existing upper limb datasets include small sample sizes without consistent data collection protocols, which hinder robotic engineers' ability to design robotic devices that accommodate the general population. To address the literature gap, an open-access upper limb kinematic database was proposed. Due to the impact of COVID-19 on human research, only data from 16 participants were collected. Clinical Relevance-This provides baseline kinematics for developing objective clinical assessments and rehabilitation robots.


Subject(s)
COVID-19 , Robotics , Activities of Daily Living , Biomechanical Phenomena , Humans , Robotics/methods , Upper Extremity
11.
Int J Environ Res Public Health ; 19(15)2022 07 26.
Article in English | MEDLINE | ID: covidwho-1994040

ABSTRACT

After discharge from the hospital to home, stroke patients may experience weakness and reduced movement in their hemiparetic arms that limits their ability to perform daily activities. Therapists can use exercise games (exergames) to maintain functional abilities and daily use of the arm at home. A systematic review and meta-analysis was conducted to determine the efficiency of upper limb home-based rehabilitation, using exergaming on activity abilities in stroke.&nbsp;Randomized controlled trials were reviewed in the CENTRAL, MEDLINE, CINAHL, EMBASE, and SCOPUS online databases. Clinical measures of observation and self-reporting were studied in post-intervention and follow-up. Nine studies were included in this systematic review (535 participants). The Physiotherapy Evidence Database (PEDro) score was 6.6/10 (SD 1.0, range 5-8), indicating good quality. This systematic review and meta-analysis showed that upper limb home-based exergaming interventions were no more effective in terms of activity than conventional therapy after stroke, according to the observational and subjective assessments in post-intervention and follow-up. Using this same approach, future studies should focus on evaluating home-based exergames through subgroup analysis to be able to propose recommendations.


Subject(s)
Stroke Rehabilitation , Stroke , Activities of Daily Living , Exergaming , Humans , Observational Studies as Topic , Stroke/therapy , Upper Extremity
12.
Injury ; 53(8): 2790-2794, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1983245

ABSTRACT

PURPOSE: Injury prevention is important. Injury as a result of an accident carries with it huge cost to the individual and society including health services costs. Understanding the mechanism of injury is important to identify those injuries that are preventable. The aim of this study was to assess how many acute orthopaedic injuries were preventable should reasonable human interventions have been taken METHODS: This prospective study was performed in a UK district general hospital that serves a population of 500,000 people. All patients referred to the Orthopaedic department over 4 weeks between 16th November and 14th December 2020 were reviewed. Data was collected about the mechanism of injury, patient demographics, injury type, injury location, treatment and length of stay in hospital. The mechanisms of injury were analysed thematically. RESULTS: We assessed 605 patient attendances. 502 patients sustained 516 acute traumatic injuries. Preventable injuries were common, accounting for 23.9% of all referrals. The upper limb was most commonly injured with the hand and forearm being injured 33% of the time. Of the preventable injuries 35% were treated operatively. Thematic analysis identified common mechanisms of: occupational related, stairs, RTA, cycling, alcohol related, trampoline, DIY and assault. CONCLUSION: This study identifies that a large proportion of acute orthopaedic injuries are potentially preventable meaning this is an important area for further study. Occupation injuries were identified as an area in which there is the greatest scope to reduce the number of preventable accidents.


Subject(s)
Orthopedics , Wounds and Injuries , Humans , Prospective Studies , Retrospective Studies , Upper Extremity/injuries , Wounds and Injuries/epidemiology , Wounds and Injuries/prevention & control
13.
J Neuroeng Rehabil ; 19(1): 68, 2022 07 04.
Article in English | MEDLINE | ID: covidwho-1974160

ABSTRACT

BACKGROUND: Cybathlon championship aims at promoting the development of prosthetic and assistive devices capable to meet users' needs. This paper describes and analyses possible exploitation outcomes of our team's (REHAB TECH) experience into the Powered Arm Prosthesis Race of the Cybathlon 2020 Global Edition, with the novel prosthetic system Hannes. In detail, we present our analysis on a concurrent evaluation conducted to verify if the Cybathlon training and competition positively influenced pilot's performance and human-technology integration with Hannes, with respect to a non-runner Hannes user. METHODS: Two transradial amputees were recruited as pilots (Pilot 1 and Pilot 2) for the Cybathlon competition and were given the polyarticulated myoelectric prosthetic hand Hannes. Due to COVID-19 emergency, only Pilot 1 was trained for the race. However, both pilots kept Hannes for Home Use for seven weeks. Before this period, they both participated to the evaluation of functionality, embodiment, and user experience (UX) related to Hannes, which they repeated at the end of the Home Use and right after the competition. We analysed Pilot 1's training and race outcomes, as well as changes in the concurrent evaluation, and compared these results with Pilot 2's ones. RESULTS: The Cybathlon training gradually improved Pilot 1's performances, leading to the sixth place with a single error in task 5. In the parallel evaluation, both pilots had an overall improvement over time, whereas Pilot 2 experienced a deterioration of embodiment. In detail, Pilot 1, who followed the training and raced the Cybathlon, improved in greater way. CONCLUSION: Hannes demonstrated to be a valuable competitor and to perform grasps with human-like behaviors. The higher improvements of Pilot 1, who actively participated in the Cybathlon, in terms of functionality, embodiment and UX, may depend on his training and engagement in the effort of achieving a successful user-prosthesis interaction during the competition. Tasks based on Cybathlon's ones could improve the training phase of a prosthetic user, stimulating dexterity, prosthetic integration, and user perception towards the prosthesis. Likewise, timed races or competitions could facilitate and accelerate the learning phase, improving the efficiency and efficacy of the process.


Subject(s)
Amputees , Artificial Limbs , COVID-19 , Hand , Humans , Upper Extremity
14.
Hum Mov Sci ; 85: 102977, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1966610

ABSTRACT

BACKGROUND: Impairments of upper limb (UL) sensory-motor functions are common in Parkinson's disease (PD). Virtual reality exercises may improve sensory-motor functions in a safe environment and can be used in tele-rehabilitation. This study aimed to investigate the effects of supervised and non-supervised UL virtual reality exercises (ULVRE) on UL sensory-motor functions in patients with idiopathic PD. METHODS: In this clinical trial study, 45 patients with idiopathic PD (29 male) by mean ± SD age of 58.64 ± 8.69 years were randomly allocated to either the control group (conventional rehabilitation exercises), supervised ULVRE or non-supervised ULVRE. Interventions were 24 sessions, 3 sessions/week. Before/after of interventions and follow-up period all assessment was done. Hand Active Sensation Test and Wrist Position Sense Test were used for assessing UL sensory function. Gross and fine manual dexterity were assessed by Box-Block Test and Nine-Hole Peg Test, respectively. Grip and pinch strength were evaluated by a dynamometer and pinch gauge, respectively. RESULTS: The results showed significant improvement in discriminative sensory function (HAST-weight and HAST-total), wrist proprioception, gross manual dexterity and grip strength of both less and more affected hands as well as fine manual dexterity of the more affected hand in the three groups in patients with idiopathic PD (P < 0.05). CONCLUSION: The results of this study indicated that both supervised and non-supervised ULVRE using the Kinect device might potentially improve some aspects of UL sensory-motor functions in patients with PD. Therefore, ULVRE using the Kinect device can be used in tele-rehabilitation, especially in the current limitations induced by the COVID-19 pandemic, for improving UL functions in patients with PD.


Subject(s)
COVID-19 , Parkinson Disease , Stroke Rehabilitation , Stroke , Aged , Exercise Therapy/methods , Exergaming , Humans , Male , Middle Aged , Pandemics , Recovery of Function , Sensation , Stroke Rehabilitation/methods , Treatment Outcome , Upper Extremity
15.
IEEE Trans Neural Syst Rehabil Eng ; 30: 1652-1663, 2022.
Article in English | MEDLINE | ID: covidwho-1937854

ABSTRACT

The rejection rates of upper-limb prosthetic devices in adults are high, currently averaging 26% and 23% for body-powered and electric devices, respectively. While many factors influence acceptance, prosthesis training methods relying on novel virtual reality systems have been cited as a critical factor capable of increasing the likelihood of long-term, full-time use. Despite that, these implementations have not yet garnered widespread traction in the clinical setting, and their use remains immaterial. This review aims to explore the reasons behind this situation by identifying trends in existing research that seek to advance Extended Reality "X-Reality" systems for the sake of upper-limb prosthesis rehabilitation and, secondly, analyzing barriers and presenting potential pathways to deployment for successful adoption in the future. The search yielded 42 research papers that were divided into two categories. The first category included articles that focused on the technical aspect of virtual prosthesis training. Articles in the second category utilize user evaluation procedures to ensure applicability in a clinical environment. The review showed that 75% of articles that conducted whole system testing experimented with non-immersive virtual systems. Furthermore, there is a shortage of experiments performed with amputee subjects. From the large-scale studies analyzed, 71% of those recruited solely non-disabled participants. This paper shows that X-Reality technologies for prosthesis rehabilitation of upper-limb amputees carry significant benefits. Nevertheless, much still must be done so that the technology reaches widespread clinical use.


Subject(s)
Amputees , Artificial Limbs , Adult , Amputees/rehabilitation , Humans , Prosthesis Implantation , Upper Extremity , User-Computer Interface
16.
J Plast Reconstr Aesthet Surg ; 75(9): 3628-3651, 2022 09.
Article in English | MEDLINE | ID: covidwho-1894826

ABSTRACT

Acute upper limb infections represent a large proportion of on-call referrals and emergency theatre time in plastic surgery. To enable us to maintain effective service provision despite reallocation of hospital resources as a result of COVID-19, and to minimise patient exposure in a hospital setting during the pandemic, we introduced a walk-in clinic and dedicated local anaesthetic (LA) operating theatre for these infections. In this work, we sought to analyse our service changes and resulting patient outcomes. Using electronic records, data from patients presenting with upper extremity infections was collected before the pandemic from 1st January to 30th March 2020, then for a period of three months from 30th March until 30th June 2020, after our changes were implemented. Seventy-two patients were included before 30th March 2020, and 49 patients after. Prior to our changes, most patients underwent surgery (n = 58, 80.6%), requiring overnight admission (n = 64, 88.9%), following mainly general anaesthetic procedures (n = 56, 96.6%). After our service changes, a similar percentage of patients were treated operatively (n = 41, 83.7%), but these procedures mostly utilised LA (n = 37, 90.2%) in the outpatient setting (n = 25, 51.0%). Despite this shift in management approach, no statistically significant difference in readmission rates was calculated between the two groups (p = 0.556) and post-operative complications were fewer in absolute terms. Our results suggest that in many instances, these infections can be managed in an outpatient setting without the need for inpatient care. Selective admission with strict follow-up of patients may be feasible, improving patient experience and reducing resource burden.


Subject(s)
Anesthetics, General , COVID-19 , Surgery, Plastic , Anesthetics, Local , COVID-19/epidemiology , Humans , Scotland/epidemiology , Upper Extremity/surgery
17.
Sensors (Basel) ; 22(11)2022 Jun 02.
Article in English | MEDLINE | ID: covidwho-1892944

ABSTRACT

There have been several studies of hand gesture recognition for human-machine interfaces. In the early work, most solutions were vision-based and usually had privacy problems that make them unusable in some scenarios. To address the privacy issues, more and more research on non-vision-based hand gesture recognition techniques has been proposed. This paper proposes a dynamic hand gesture system based on 60 GHz FMCW radar that can be used for contactless device control. In this paper, we receive the radar signals of hand gestures and transform them into human-understandable domains such as range, velocity, and angle. With these signatures, we can customize our system to different scenarios. We proposed an end-to-end training deep learning model (neural network and long short-term memory), that extracts the transformed radar signals into features and classifies the extracted features into hand gesture labels. In our training data collecting effort, a camera is used only to support labeling hand gesture data. The accuracy of our model can reach 98%.


Subject(s)
Gestures , Recognition, Psychology , Humans , Memory, Long-Term , Ultrasonography, Doppler , Upper Extremity
18.
Am J Case Rep ; 23: e934955, 2022 May 24.
Article in English | MEDLINE | ID: covidwho-1863323

ABSTRACT

BACKGROUND The SARS-CoV-2 viral infection is associated with respiratory and multi-organ systemic disease. It has been shown to affect the central nervous system and produce varied neurological symptoms, including ischemic strokes, seizures, and encephalitis. Neurological manifestations of this viral infection are thought to be due to neurotropic reactions on the central nervous system or post-infectious immune-mediated damage. This report presents a case of bilateral tremor of the upper limbs more than 6 weeks after a diagnosis of COVID-19, with confirmed volumetric brain loss shown by follow-up brain magnetic resonance imaging (MRI) combined with 3-dimensional volumetric NeuroQuant image analysis. CASE REPORT We report a case of new-onset tremors in a 62-year-old man after SARS-CoV-2 infection. MRI of the brain was performed shortly after the onset of tremors, and a follow-up MRI after 2 months showed evidence of rapid parenchymal volume, loss of midbrain substance, and increased cerebrospinal fluid volume within 2 months of the initial examination. CONCLUSIONS This case report shows central neurological effects of COVID-19, which can be evaluated by quantitative volumetric MRI analysis, although further studies are warranted to determine how this type of brain imaging can be used to evaluate the effects of SARS-CoV-2 infection over time.


Subject(s)
COVID-19 , Brain/diagnostic imaging , Brain/pathology , Humans , Male , Middle Aged , SARS-CoV-2 , Tremor/etiology , Tremor/pathology , Upper Extremity
19.
JMIR Mhealth Uhealth ; 10(4): e35462, 2022 04 07.
Article in English | MEDLINE | ID: covidwho-1834184

ABSTRACT

BACKGROUND: Rheumatoid arthritis (RA) is a prevalent autoimmune disease that usually involves problems of the hand or wrist. Current evidence recommends a multimodal therapy including exercise, self-management, and educational strategies. To date, the efficacy of this approach, as delivered using a smartphone app, has been scarcely investigated. OBJECTIVE: This study aims to assess the short- and medium-term efficacy of a digital app (CareHand) that includes a tailored home exercise program, together with educational and self-management recommendations, compared with usual care, for people with RA of the hands. METHODS: A single-blinded randomized controlled trial was conducted between March 2020 and February 2021, including 36 participants with RA of the hands (women: 22/36, 61%) from 2 community health care centers. Participants were allocated to use the CareHand app, consisting of tailored exercise programs, and self-management and monitoring tools or to a control group that received a written home exercise routine and recommendations, as per the usual protocol provided at primary care settings. Both interventions lasted for 3 months (4 times a week). The primary outcome was hand function, assessed using the Michigan Hand Outcome Questionnaire (MHQ). Secondary measures included pain and stiffness intensity (visual analog scale), grip strength (dynamometer), pinch strength (pinch gauge), and upper limb function (shortened version of the Disabilities of the Arm, Shoulder, and Hand questionnaire). All measures were collected at baseline and at a 3-month follow-up. Furthermore, the MHQ and self-reported stiffness were assessed 6 months after baseline, whereas pain intensity and scores on the shortened version of the Disabilities of the Arm, Shoulder, and Hand questionnaire were collected at the 1-, 3-, and 6-month follow-ups. RESULTS: In total, 30 individuals, corresponding to 58 hands (CareHand group: 26/58, 45%; control group: 32/58, 55%), were included in the analysis; 53% (19/36) of the participants received disease-modifying antirheumatic drug treatment. The ANOVA demonstrated a significant time×group effect for the total score of the MHQ (F1.62,85.67=9.163; P<.001; η2=0.15) and for several of its subscales: overall hand function, work performance, pain, and satisfaction (all P<.05), with mean differences between groups for the total score of 16.86 points (95% CI 8.70-25.03) at 3 months and 17.21 points (95% CI 4.78-29.63) at 6 months. No time×group interaction was observed for the secondary measures (all P>.05). CONCLUSIONS: Adults with RA of the hands who used the CareHand app reported better results in the short and medium term for overall hand function, work performance, pain, and satisfaction, compared with usual care. The findings of this study suggest that the CareHand app is a promising tool for delivering exercise therapy and self-management recommendations to this population. Results must be interpreted with caution because of the lack of efficacy of the secondary outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04263974; https://clinicaltrials.gov/ct2/show/NCT04263974. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-020-04713-4.


Subject(s)
Arthritis, Rheumatoid , Mobile Applications , Self-Management , Adult , Arthritis, Rheumatoid/therapy , Female , Humans , Pain , Self-Management/methods , Upper Extremity
20.
J Bone Joint Surg Am ; 104(6): 489-496, 2022 03 16.
Article in English | MEDLINE | ID: covidwho-1793405
SELECTION OF CITATIONS
SEARCH DETAIL