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Chandan JS, Brown KR, Simms-Williams N, Bashir NZ, Camaradou J, Heining D, Turner GM, Rivera SC, Hotham R, Minhas S, Nirantharakumar K, Sivan M, Khunti K, Raindi D, Marwaha S, Hughes SE, McMullan C, Marshall T, Calvert MJ, Haroon S, Aiyegbusi OL. Non-Pharmacological Therapies for Post-Viral Syndromes, Including Long COVID: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3477. [PMID: 36834176 PMCID: PMC9967466 DOI: 10.3390/ijerph20043477] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Post-viral syndromes (PVS), including Long COVID, are symptoms sustained from weeks to years following an acute viral infection. Non-pharmacological treatments for these symptoms are poorly understood. This review summarises the evidence for the effectiveness of non-pharmacological treatments for PVS. METHODS We conducted a systematic review to evaluate the effectiveness of non-pharmacological interventions for PVS, as compared to either standard care, alternative non-pharmacological therapy, or placebo. The outcomes of interest were changes in symptoms, exercise capacity, quality of life (including mental health and wellbeing), and work capability. We searched five databases (Embase, MEDLINE, PsycINFO, CINAHL, MedRxiv) for randomised controlled trials (RCTs) published between 1 January 2001 to 29 October 2021. The relevant outcome data were extracted, the study quality was appraised using the Cochrane risk-of-bias tool, and the findings were synthesised narratively. FINDINGS Overall, five studies of five different interventions (Pilates, music therapy, telerehabilitation, resistance exercise, neuromodulation) met the inclusion criteria. Aside from music-based intervention, all other selected interventions demonstrated some support in the management of PVS in some patients. INTERPRETATION In this study, we observed a lack of robust evidence evaluating the non-pharmacological treatments for PVS, including Long COVID. Considering the prevalence of prolonged symptoms following acute viral infections, there is an urgent need for clinical trials evaluating the effectiveness and cost-effectiveness of non-pharmacological treatments for patients with PVS. REGISTRATION The study protocol was registered with PROSPERO [CRD42021282074] in October 2021 and published in BMJ Open in 2022.
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Affiliation(s)
- Joht Singh Chandan
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Kirsty R. Brown
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Nikita Simms-Williams
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Nasir Z. Bashir
- School of Oral and Dental Sciences, University of Bristol, Bristol BS8 1TH, UK
| | - Jenny Camaradou
- School of Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK
| | - Dominic Heining
- Department of Microbiology, Royal Wolverhampton NHS Trust, Wolverhampton WV10 0QP, UK
| | - Grace M. Turner
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Samantha Cruz Rivera
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham B15 2TT, UK
| | - Richard Hotham
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Sonica Minhas
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Midlands Health Data Research UK, Birmingham B15 2TT, UK
| | - Manoj Sivan
- School of Medicine, University of Leeds, Leeds LS2 9JT, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester LE1 7RH, UK
| | - Devan Raindi
- School of Dentistry, Institute of Clinical Sciences, University of Birmingham, Birmingham B5 7EG, UK
| | - Steven Marwaha
- Institute for Mental Health, University of Birmingham, Birmingham B15 2TT, UK
- Birmingham and Solihull Mental Health NHS Foundation Trust, Unit 1, B1, 50 Summer Hill Road, Birmingham B1 3RB, UK
| | - Sarah E. Hughes
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham B15 2TT, UK
- National Institute for Health Research (NIHR), Applied Research Collaboration, Birmingham B15 2TT, UK
| | - Christel McMullan
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Tom Marshall
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Melanie J. Calvert
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham B15 2TT, UK
- National Institute for Health Research (NIHR), Applied Research Collaboration, Birmingham B15 2TT, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham B15 2TT, UK
- Health Data Research UK, London WC1E 6BT, UK
| | - Shamil Haroon
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Olalekan Lee Aiyegbusi
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham B15 2TT, UK
- National Institute for Health Research (NIHR), Applied Research Collaboration, Birmingham B15 2TT, UK
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Wang N, Tong J, Wang J, Wang Q, Chen S, Sheng B. Polyimide-Sputtered and Polymerized Films with Ultrahigh Moisture Sensitivity for Respiratory Monitoring and Contactless Sensing. ACS APPLIED MATERIALS & INTERFACES 2022; 14:11842-11853. [PMID: 35143181 DOI: 10.1021/acsami.1c24833] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Respiratory monitoring and contactless sensing using the moisture produced by respiration and perspiration have garnered considerable attention in recent years. In this study, we fabricated polyimide-sputtered and polymerized (PSP) humidity sensors with ultrahigh capacitive sensitivity, fast response, and a wide working range of relative humidity (RH). The sensors produced >40 000 times increment in the sensing signal over the 10-95% RH range at 10 Hz and exhibited good performance at low RH levels (<40%) as well. These sensors displayed excellent sensing properties with small hysteresis, long-time stability, and fast response and recovery times (2.4 and 1.2 s, respectively). In the mechanism study of PSP humidity sensors, we found that the high sensitivity can be attributed to massive hydrophilic functional groups formed on the polymer chains by moist aging with oxidation and the fast response speed is due to the mesoporous structure of PSP films. We also fabricated a 5 × 5 array of PSP humidity sensors to identify the shapes of wet objects and of leaves during transpiration. Thus, we reported a novel and effective method for fabricating high-performance humidity polymer films, channeling new pathways for the development of advanced humidity and gas sensors.
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Affiliation(s)
- Nan Wang
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
| | - Jianhao Tong
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
| | - Junjie Wang
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
| | - Qi Wang
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
| | - Shangbi Chen
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
- Shanghai Aerospace Control Technology Institute, Shanghai 200233, China
- Shanghai Xin Yue Lian Hui Electronic Technology Co. LTD, Shanghai 200233, China
| | - Bin Sheng
- School of Optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Shanghai Key Laboratory of Modern Optical Systems, Engineering Research Center of Optical Instruments and Systems, Shanghai 200093, China
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Corman BHP, Rajupet S, Ye F, Schoenfeld ER. The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2. J Med Internet Res 2022; 24:e32713. [PMID: 34932496 PMCID: PMC8989385 DOI: 10.2196/32713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/15/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
Amid the COVID-19 pandemic, it has been reported that greater than 35% of patients with confirmed or suspected COVID-19 develop postacute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data are being collected-mostly measurements collected during hospital or clinical visits-and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation, and as such, management plans could be more holistically made if health care providers had access to unobtrusive home-based wearable and contactless continuous physiologic and physical sensor data. Such between-hospital or between-clinic data can quantitatively elucidate a majority of the temporal evolution of PASC symptoms. Although not universally of comparable accuracy to gold standard medical devices, home-deployed sensors offer great insights into the development and progression of PASC. Suitable sensors include those providing vital signs and activity measurements that correlate directly or by proxy to documented PASC symptoms. Such continuous, home-based data can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of home-based continuous sensing that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies for PASC.
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Affiliation(s)
- Benjamin Harris Peterson Corman
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
- Program in Public Health, Stony Brook University, Stony Brook, NY, United States
| | - Sritha Rajupet
- Department of Family, Population & Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
- Department of Biomedical Informatics, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
| | - Fan Ye
- Department of Electrical and Computer Engineering, College of Engineering and Applied Science, Stony Brook University, Stony Brook, NY, United States
| | - Elinor Randi Schoenfeld
- Department of Family, Population & Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
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