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3.
J Med Internet Res ; 23(4): e23446, 2021 04 28.
Article in English | MEDLINE | ID: covidwho-1256230

ABSTRACT

BACKGROUND: With the growing stress on hospitals caused by the COVID-19 pandemic, the need for home-based solutions has become a necessity to support these overwhelmed hospitals. OBJECTIVE: The goal of this study was to compare two nonpharmacological respiratory treatment methods for home-isolated COVID-19 patients using a newly developed telemanagement health care system. METHODS: In this single-blinded randomized clinical trial, 60 patients with stage 1 pneumonia caused by SARS-CoV-2 infection were treated. Group A (n=30) received oxygen therapy with bilevel positive airway pressure (BiPAP) ventilation, and Group B (n=30) received osteopathic manipulative respiratory and physical therapy techniques. Arterial blood gases of PaO2 and PaCO2, pH, vital signs (ie, temperature, respiratory rate, oxygen saturation, heart rate, and blood pressure), and chest computed tomography scans were used for follow-up and for assessment of the course and duration of recovery. RESULTS: Analysis of the results showed a significant difference between the two groups (P<.05), with Group A showing shorter recovery periods than Group B (mean 14.9, SD 1.7 days, and mean 23.9, SD 2.3 days, respectively). Significant differences were also observed between baseline and final readings in all of the outcome measures in both groups (P<.05). Regarding posttreatment satisfaction with our proposed telemanagement health care system, positive responses were given by most of the patients in both groups. CONCLUSIONS: It was found that home-based oxygen therapy with BiPAP can be a more effective prophylactic treatment approach than osteopathic manipulative respiratory and physical therapy techniques, as it can impede exacerbation of early-stage COVID-19 pneumonia. Telemanagement health care systems are promising methods to help in the pandemic-related shortage of hospital beds, as they showed reasonable effectiveness and reliability in the monitoring and management of patients with early-stage COVID-19 pneumonia. TRIAL REGISTRATION: ClinicalTrials.gov NCT04368923; https://clinicaltrials.gov/ct2/show/NCT04368923.


Subject(s)
COVID-19/therapy , Oxygen Inhalation Therapy/methods , Physical Therapy Modalities , Positive-Pressure Respiration/methods , Telemedicine/methods , Adult , COVID-19/epidemiology , Female , Humans , Male , Pandemics , SARS-CoV-2/isolation & purification , Treatment Outcome , Young Adult
4.
J Telemed Telecare ; 27(5): 298-306, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1221689

ABSTRACT

INTRODUCTION: Rheumatoid arthritis (RA) disease is a systemic progressive inflammatory autoimmune disorder. Elderly-onset RA can be assumed as a benign form of RA. Until recently, face-to-face therapeutic sessions between health professionals and patients are usually the method of its treatment. However, during pandemics, including coronavirus disease 2019 (COVID-19), teletherapeutic sessions can extensively increase the patient safety especially in elderly patients who are more vulnerable to these infections. Thus, the aim of this randomized clinical trial was to evaluate a novel teletherapy approach for management of elderly patients suffering from RA by utilizing laser acupuncture. METHODS: A teletherapy system was used for management of elderly patients suffering from RA. Sixty participants were allocated randomly into two groups and the ratio was 1:1. Patients in the first group were treated with laser acupuncture and telerehabilitation sessions, which consisted of aerobic exercise and virtual reality training. Patients in the second group received telerehabilitation sessions, which consisted of aerobic exercise and virtual reality training. Evaluation of patients was done by using the Health Assessment questionnaire (HAQ), the Rheumatoid Arthritis Quality of Life (RAQoL) questionnaire, and the analysis of interleukin-6 (IL-6), serum C-reactive protein (CRP), plasma adenosine triphosphate (ATP) concentration and plasma malondialdehyde (MDA). RESULTS: A statistically significant difference was found in CRP, RAQoL, IL-6 and MDA between the pre- and post-treatments in the first group (p < 0.05) favouring the post-treatment group, while the HAQ showed a statistically significant difference between pre- and post-treatments (p < 0.05) in both groups. Statistically significant post-treatment differences were also observed between the two groups (p < 0.05) in RAQoL, CRP, ATP and MDA, favouring the first group. DISCUSSION: Laser acupuncture teletherapy could be suggested as a reliable treatment method for elderly patients suffering from RA, as it can provide a safe and effective therapeutic approach. Teletherapy provided safer access to health professionals and patients while giving a high patient satisfaction value with a relatively lower cost (ClinicalTrials.gov Identifier: NCT04684693).


Subject(s)
Acupuncture Therapy , Arthritis, Rheumatoid , COVID-19 , Aged , Arthritis, Rheumatoid/therapy , Humans , Lasers , Quality of Life , SARS-CoV-2
5.
Lasers Med Sci ; 37(1): 499-504, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1141455

ABSTRACT

Rheumatoid arthritis (RA) is a progressive common autoimmune disorder and is one of the most functional limiting diseases in elderly. Until recently, its treatment is mainly based on physical locations and meetings while being face to face. However, laser acupuncture tele-therapy approaches can significantly provide the patient with safety during the COVID-19 pandemic as well as changing the disorder's prognosis. Sixty patients were assigned randomly into 2 groups with 1:1 ratio. Patients in group A are treated remotely by laser acupuncture in addition to methotrexate and a tele-rehabilitation program in the form of aerobic exercise training. Patients in group B are treated by methotrexate and a tele-rehabilitation program in the form of aerobic exercise. There was a statistically significant difference in health assessment questionnaire (HAQ) pre- and post-treatment in group A (p < 0.05). The C-reactive protein (CRP) and interleukin-6 (IL-6) inflammatory markers as well as the malondialdehyde (MDA) oxidative marker showed a significant reduction pre- and post-treatment in group A (p < 0.05). Additionally, there was a significant increase in the adenosine tri-phosphate (ATP) antioxidant marker pre- and post-treatment in group A (p < 0.05). The comparison between groups A and B showed a statistically significant post-treatment difference in RAQoL, CRP, IL-6, ATP, and MDA in group A than group B. Considering the significant improvement that was found in the laser acupuncture group, it can be concluded that the use of laser acupuncture as adjunctive was effective in the treatment of elderly patients with RA. ClinicalTrials.gov Identifier: NCT04758689.


Subject(s)
Acupuncture Therapy , Arthritis, Rheumatoid , COVID-19 , Aged , Arthritis, Rheumatoid/therapy , Humans , Lasers , Pandemics , SARS-CoV-2 , Treatment Outcome
6.
J Med Internet Res ; 22(8): e19104, 2020 08 10.
Article in English | MEDLINE | ID: covidwho-727349

ABSTRACT

BACKGROUND: Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are promising technologies to prevent the concerningly rapid spread of coronavirus disease (COVID-19) and to maximize safety during the pandemic. With the exponential increase in the number of COVID-19 patients, it is highly possible that physicians and health care workers will not be able to treat all cases. Thus, computer scientists can contribute to the fight against COVID-19 by introducing more intelligent solutions to achieve rapid control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes the disease. OBJECTIVE: The objectives of this review were to analyze the current literature, discuss the applicability of reported ideas for using AI to prevent and control COVID-19, and build a comprehensive view of how current systems may be useful in particular areas. This may be of great help to many health care administrators, computer scientists, and policy makers worldwide. METHODS: We conducted an electronic search of articles in the MEDLINE, Google Scholar, Embase, and Web of Knowledge databases to formulate a comprehensive review that summarizes different categories of the most recently reported AI-based approaches to prevent and control the spread of COVID-19. RESULTS: Our search identified the 10 most recent AI approaches that were suggested to provide the best solutions for maximizing safety and preventing the spread of COVID-19. These approaches included detection of suspected cases, large-scale screening, monitoring, interactions with experimental therapies, pneumonia screening, use of the IIoT for data and information gathering and integration, resource allocation, predictions, modeling and simulation, and robotics for medical quarantine. CONCLUSIONS: We found few or almost no studies regarding the use of AI to examine COVID-19 interactions with experimental therapies, the use of AI for resource allocation to COVID-19 patients, or the use of AI and the IIoT for COVID-19 data and information gathering/integration. Moreover, the adoption of other approaches, including use of AI for COVID-19 prediction, use of AI for COVID-19 modeling and simulation, and use of AI robotics for medical quarantine, should be further emphasized by researchers because these important approaches lack sufficient numbers of studies. Therefore, we recommend that computer scientists focus on these approaches, which are still not being adequately addressed.


Subject(s)
Betacoronavirus , Coronavirus Infections/prevention & control , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Artificial Intelligence , COVID-19 , Health Personnel , Humans , Internet , Risk Factors , SARS-CoV-2
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