Body Weight May Have a Role on Neuropathy and Mobility after Moderate to Severe COVID-19: An Exploratory Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Procedures
- General cognitive performance, by the Mini-Mental State Examination [24];
- The abilities required to independently care for oneself, by the Barthel Index for daily life activities [27];
- Neuromuscular symptoms, by an in-house short questionnaire to recall symptoms during hospital stay (only at the first evaluation), and to report them if present during the previous week (at the two evaluations), including myalgia, fatigue, muscle spasms/twitches/tremors, and numbness/tingling/burning sensations;
- Muscle strength, by three measures: (1) the Medical Research Council scale (MRCs) (used with the permission of the Medical Research Council, MRC 1976) [28]; (2) quadriceps isometric strength (Baseline, Back–Leg–Chest dynamometer, White Plains, NY, USA), and (3) handgrip strength (Camry Electronic Hand Dynamometer EH101, South El Monte, CA, USA), including normalized dynamometry measurements per body mass (right and left average (kg)/body mass (kg));
- Electrophysiological abnormalities of upper and lower limbs, by electromyography records (Nihon Kohen MEB-9400, Japan) by a standardized protocol [29,30]; abnormalities were evaluated by two independent reviewers, according to the guidelines of the American Association of Neuromuscular and Electrodiagnostic Medicine [31];
- Submaximal exercise capacity by the Six Minute Walk Test (6MWT) [13];
2.3. Statistical Analysis
3. Results
3.1. Bivariate Analysis
3.1.1. Cognitive Performance
3.1.2. Nutritional Assessment
3.1.3. Neuromuscular Symptoms (Figure 2):
- At hospital admission the most frequent symptoms were fatigue (95%, 95% C.I. 89%–100%), and myalgia (72%, 95% C.I. 59%–85%); while 16% (95% C.I. 5%–27%) of the patients reported muscle spasms/ twitches/tremors, and 25% (95% C.I. 12%–38%) of them reported numbness/ tingling/burning sensations;
- At the first evaluation, 77% reported fatigue (95% C.I. 63%–89%) and 44% reported myalgia (95% C.I. 29%–59%), while circa one third of patients reported muscle spasms/ twitches/ tremors as well as numbness/ tingling/ burning sensations;
- At the second evaluation, the frequency of the symptoms decreased. At the two evaluations, men reported symptoms more frequently than women (Table 2).
3.1.4. Muscle Strength
3.1.5. Electromyography
- Sensory–motor polyneuropathy was diagnosed in seven (16%) patients, including two of the patients who abandoned the study. Three patients had a history of type 2 diabetes, and one was a blacksmith. The recordings were similar at the two evaluations;
- Motor polyneuropathy was diagnosed in two (4%) patients; one of them with type 2 diabetes, and the other patient required intensive care during their hospital stay, with 45 days of mechanical ventilation. The recordings were similar at the two evaluations;
- Multiple mononeuropathy (median and peroneal nerves) occurred in four (9%) patients, including one of the patients who abandoned the study. Among the four patients, one had a history of diabetes, and two reported the occupational performance of repetitive hand movements. The recordings were similar at the two evaluations.
- Mono-neuropathy affecting:
- ○
- Median nerves at the level of the carpal tunnel in seven (16%) patients (four bilateral). All the patients reported the occupational performance of repetitive hand movements; in addition, one patient had type 2 diabetes, and another patient reported history of traumatic injury of the affected arm. The recordings were similar at the two evaluations;
- ○
- Peroneal nerves in seven (16%) patients; below the ankle in four patients, and at the level of the fibular head in three patients, including one patient with bilateral compromise. Two of them reported history of traumatic injury of the affected foot. At the second evaluation, the neuropathy resolved only in one patient with no comorbidities: a 33 year old female, who required 55 days of hospital stay (without mechanical ventilation), and had a 14.3% loss of her body mass at hospital discharge.
- Generalized myopathy was diagnosed in one patient, a 39 year old man, who required 28 days of hospital stay (without mechanical ventilation), receiving dexametasone and antibiotics (moxifloxacine, azitromicine and ceftriaxone).
3.1.6. Barthel Index
3.1.7. Six Minute Walk Test
3.1.8. Berg Balance Scale
3.1.9. Timed-Up-and-Go test
3.2. Multivariate Analysis
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
- Physical examination included anthropometry, active and passive range of motion, reflex responses, superficial and deep sensation.
- Assessment of muscle strength was performed by the Medical Research Council Scale [29], which grades muscle strength on a scale from 0 to 5, in relation to the maximum expected for the muscle being explored; the highest of two assessment of the quadriceps isometric strength, while seated with a fixed 80° angle of hip, and 90° angle of knee and ankle joints, using a mechanical dynamometer (Baseline, Back-leg-chest dynamometer, White Plains, NY, USA); and the highest of two assessment of the hand grip strength, while in a sitting position, using a hand-held dynamometer (Camry Electronic Hand Dynamometer EH101, South El Monte, CA, USA).
- Electromyoneurography records (Nihon Kohen MEB-9400 Japan) by a standardized protocol [30]. Neurography records were performed in bilateral motor nerves (cubital, median, peroneal and tibial nerves) and sensory nerves (cubital, median, radial and sural nerves) to obtain conduction velocities, sensory nerve action potentials and compound muscle action potentials. Monopolar-needle electrode myography records included 5 to 10 insertions of the recording electrode into each muscle slowly moving the needle through the four quadrants of the muscle, and recording the electrical signals occurring at rest, initiated by the needle movement, and during voluntary contraction; action potentials were assessed considering duration, amplitude and number of phases. Abnormalities were evaluated by two independent experts, according to the guidelines of the American Association of Neuromuscular and Electro-diagnostic Medicine [31].
- Six Minute Walk Test [13]. The distance covered over a time of 6 min is used as the outcome. Subjects were asked to walk at their own pace along a 30 m long corridor during 6 min, without running; and they were told that they could rest if they were exhausted to continue the test (in this study no test was interrupted). Before and after the test, we assessed dyspnea by the Borg scale [23], respiratory rate, heart rate, blood pressure and oxygen saturation; and during the test, we measured oxygen saturation and heart rate by transcutaneous pulse oximetry (Advanced PO-100B, Miami FL). To estimate the proportion of the predicted walking distance for each patient, the actual distance covered during the six minutes was corrected by height, weight, age and sex [52]: 218 + (5.14 × height (cm) − 532 × age (years)) − [1.8 × weight (kg)] + (51.31 × sex [1 for men and 0 for women]).
- The Berg Balance Scale [32], which is a qualitative measure to assess balance by performing functional activities; though, no measures of gait are directly recorded within the scale. The scale consists of 14 items scored on a 5-point ordinal scale, ranging from 0 to 4 (0 indicates the lowest level of function and 4 indicates the highest level of function), with a maximum total score of 56.
- The modified Timed-Up-and-Go test [33], which is a quantitative measure to assess mobility and balance. Participants were required to sit on a chair with arm-rests, stand and walk a 3 m course at a rapid speed, then to walk back to the chair and sit again while wearing regular footwear. A standard digital stopwatch was used to record the time to the nearest tenth of a second, from the command to “Go” to the time when the backside of the patient touched the chair.
Appendix B
Evaluation I | Evaluation II | ||||||||
---|---|---|---|---|---|---|---|---|---|
Score | 4- | 4 | 4+ | 5 | 4- | 4 | 4+ | 5 | |
Shoulder | Right | 0 | 1 | 4 | 38 | 0 | 1 | 0 | 39 |
Left | 0 | 1 | 3 | 39 | 0 | 0 | 0 | 40 | |
Elbow | Right | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 40 |
Left | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 40 | |
Wrist | Right | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 40 |
Left | 0 | 1 | 0 | 42 | 0 | 0 | 0 | 40 | |
Hip | Right | 1 | 7 | 11 | 24 | 0 | 1 | 1 | 38 |
Left | 1 | 7 | 11 | 24 | 0 | 1 | 1 | 38 | |
Knee | Right | 5 | 9 | 7 | 22 | 1 | 2 | 1 | 36 |
Left | 4 | 10 | 7 | 22 | 1 | 2 | 1 | 36 | |
Ankle | Right | 1 | 0 | 0 | 42 | 0 | 1 | 0 | 39 |
Left | 2 | 1 | 0 | 40 | 1 | 0 | 0 | 39 |
Activity | Evaluation I | Evaluation II | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Score | 0 | 1 | 0 | 3 | 4 | 0 | 1 | 2 | 3 | 4 |
Sitting to standing | 0 | 0 | 0 | 5 | 38 | 0 | 0 | 0 | 0 | 40 |
Standing unsupported | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0 | 0 | 40 |
Sitting unsupported | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0 | 0 | 40 |
Standing to sitting | 0 | 0 | 0 | 2 | 41 | 0 | 0 | 0 | 0 | 40 |
Transfers | 0 | 0 | 0 | 1 | 42 | 0 | 0 | 0 | 0 | 40 |
Standing with eyes closed | 0 | 0 | 1 | 6 | 35 | 0 | 0 | 1 | 0 | 39 |
Standing with feet together | 0 | 0 | 0 | 6 | 37 | 0 | 0 | 0 | 0 | 40 |
Reaching forward with outstretched arm | 0 | 0 | 6 | 16 | 21 | 0 | 0 | 2 | 12 | 26 |
Retrieving object from floor | 0 | 0 | 0 | 1 | 42 | 0 | 0 | 0 | 0 | 40 |
Turning to look behind | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0 | 0 | 40 |
Turning 360 degrees | 0 | 0 | 0 | 1 | 42 | 0 | 0 | 0 | 0 | 40 |
Placing alternate foot on stool | 0 | 0 | 0 | 7 | 36 | 0 | 0 | 0 | 1 | 39 |
Standing with one foot in front | 1 | 2 | 0 | 14 | 26 | 0 | 0 | 2 | 4 | 34 |
Standing on one foot | 0 | 2 | 6 | 13 | 22 | 0 | 1 | 1 | 11 | 27 |
References
- Zhu, N.; Zhang, D.; Wang, W.; Li, X.; Yang, B.; Song, J.; Zhao, X.; Huang, B.; Shi, W.; Lu, R.; et al. A novel coronavirus from patients with pneumonia in China, 2019. N. Engl. J. Med. 2020, 382, 727–733. [Google Scholar] [CrossRef]
- Nalbandian, A.; Sehgal, K.; Gupta, A.; Madhavan, M.V.; McGroder, C.; Stevens, J.S.; Cook, J.R.; Nordvig, A.S.; Shalev, D.; Sehrawat, T.S.; et al. Post-acute COVID-19 syndrome. Nat. Med. 2021, 27, 601–615. [Google Scholar] [CrossRef]
- Wiersinga, W.J.; Rhodes, A.; Cheng, A.C.; Peacock, S.J.; Prescott, H.C. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): A review. J. Am. Med. Assoc. 2020, 324, 782–793. [Google Scholar] [CrossRef]
- Samidurai, A.; Das, A. Cardiovascular Complications Associated with COVID-19 and Potential Therapeutic Strategies. Int. J. Mol. Sci. 2020, 21, 6790. [Google Scholar] [CrossRef]
- Shah, W.; Hillman, T.; Playford, E.D.; Hishmeh, L. Managing the long term effects of COVID-19: Summary of NICE, SIGN, and RCGP rapid guideline. Br. Med. J. 2021, 372, n136. [Google Scholar] [CrossRef] [PubMed]
- Misra, S.; Kolappa, K.; Prasad, M.; Radhakrishnan, D.; Thakur, K.T.; Solomon, T.; Michael, B.D.; Winkler, A.S.; Beghi, E.; Guekht, A.; et al. Frequency of Neurologic Manifestations in COVID-19. A Systematic Review and Meta-analysis. Neurology 2021, 97, e2269–e2281. [Google Scholar] [CrossRef] [PubMed]
- Tenforde, M.W.; Kim, S.S.; Lindsell, C.J.; Billig Rose, E.; Shapiro, N.I.; Files, D.C.; Gibbs, K.W.; Erickson, H.L.; Steingrub, J.S.; Smithline, H.A.; et al. Symptom Duration and Risk Factors for Delayed Return to Usual Health Among Outpatients with COVID-19 in a Multistate Health Care Systems Network—United States, March–June 2020. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 993–998. [Google Scholar] [CrossRef]
- Carfì, A.; Bernabei, R.; Landi, F. For the Gemelli Against COVID-19. Post-Acute Care Study Group. Persistent Symptoms in Patients After Acute COVID-19. JAMA 2020, 324, 603–605. [Google Scholar] [CrossRef] [PubMed]
- Zhu, J.; Zhong, Z.; Ji, P.; Li, H.; Li, B.; Pang, J.; Zhang, J.; Zhao, C. Clinicopathological characteristics of 8697 patients with COVID-19 in China: A meta-analysis. Fam. Med. Community Health 2020, 8, e000406. [Google Scholar] [CrossRef] [PubMed]
- Lechien, J.R.; Chiesa-Estomba, C.M.; Place, S.; Van Laethem, Y.; Cabaraux, P.; Mat, Q.; Huet, K.; Plzak, J.; Horoi, M.; Hans, S.; et al. Clinical and epidemiological characteristics of 1420 European patients with mild-to-moderate coronavirus disease 2019. J. Intern. Med. 2020, 288, 335–344. [Google Scholar] [CrossRef]
- Hodgson, C.L.; Higgins, A.M.; Bailey, M.J.; Mather, A.M.; Beach, L.; Bellomo, R.; Bissett, B.; Boden, I.J.; Bradley, S.; Burrell, A.; et al. The impact of COVID-19 critical illness on new disability, functional outcomes and return to work at 6 months: A prospective cohort study. Crit. Care 2021, 25, 382. [Google Scholar] [CrossRef] [PubMed]
- Huang, C.; Huang, L.; Wang, Y.; Li, X.; Ren, L.; Gu, X.; Kang, L.; Guo, L.; Liu, M.; Zhou, X.; et al. 6-month consequences of COVID-19 in patients discharged from hospital: A cohort study. Lancet 2021, 397, 220–232. [Google Scholar] [CrossRef]
- American Thoracic Society. ATS statement: Guidelines for the six-minute walk test. Am. J. Respir. Crit. Care Med. 2002, 166, 111–117. [Google Scholar] [CrossRef] [PubMed]
- Lam, G.Y.; Befus, A.D.; Damant, R.W.; Ferrara, G.; Fuhr, D.P.; Stickland, M.K.; Varughese, R.A.; Wong, E.Y.; Smith, M.P. Exertional intolerance and dyspnea with preserved lung function: An emerging long COVID phenotype? Respir. Res. 2021, 22, 222. [Google Scholar] [CrossRef] [PubMed]
- Pizarro-Pennarolli, C.; Sánchez-Rojas, C.; Torres-Castro, R.; Vera-Uribe, R.; Sanchez-Ramirez, D.C.; Vasconcello-Castillo, L.; Solís-Navarro, L.; Rivera-Lillo, G. Assessment of activities of daily living in patients post COVID-19: A systematic review. PeerJ 2021, 9, e11026. [Google Scholar] [CrossRef]
- Jacobsen, P.A.; Andersen, M.P.; Gislason, G.; Phelps, M.; Butt, J.H.; Køber, L.; Schou, M.; Fosbøl, E.; Christensen, H.C.; Torp-Pedersen, C.; et al. Return to work after COVID-19 infection—A Danish nationwide registry study. Public Health 2022, 203, 116–122. [Google Scholar] [CrossRef] [PubMed]
- American Occupational Therapy Association. Occupational Therapy Practice Framework: Domain and Process. 3rd Edition. Am. Occup. Ther. 2014, 68, s1–s48. [Google Scholar] [CrossRef]
- Lowry, K.A.; Vallejo, A.N.; Studenski, S.A. Successful aging as a continuum of functional independence: Lessons from physical disability models of aging. Aging Dis. 2012, 3, 5–15. [Google Scholar]
- Aretouli, E.; Brandt, J. Everyday functioning in mild cognitive impairment and its relationship with executive cognition. Int. J. Geriatr. Psychiatry 2010, 25, 224–233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Olin, A.Ö.; Koochek, A.; Ljungqvist, O.; Cederholm, T. Nutritional status, well-being and functional ability in frail elderly service flat residents. Eur. J. Clin. Nutr. 2005, 59, 263–270. [Google Scholar] [CrossRef] [Green Version]
- Hampshire, A.; Trender, W.; Chamberlain, S.R.; Jolly, A.E.; Grant, J.E.; Patrick, F.; Mazibuko, N.; Williams, S.C.R.; Barnby, J.M.; Hellyer, P.; et al. Cognitive deficits in people who have recovered from COVID-19. Eclinical Med. 2021, 39, 101044. [Google Scholar] [CrossRef] [PubMed]
- Gérard, M.; Mahmutovic, M.; Malgras, A.; Michot, N.; Scheyer, N.; Jaussaud, R.; Nguyen-Thi, P.-L.; Quilliot, D. Long-Term Evolution of Malnutrition and Loss of Muscle Strength after COVID-19, A Major and Neglected Component of Long COVID-19. Nutrients 2021, 13, 3964. [Google Scholar] [CrossRef]
- Borg, G.; Hassmén, P.; Lagerström, M. Perceived exertion related to heart rate and blood lactate during arm and leg exercise. Eur. J. Appl. Physiol. Occup. Physiol. 1987, 56, 679–685. [Google Scholar] [CrossRef]
- Folstein, M.F.; Folstein, S.E.; McHugh, P.R. “Mini-Mental State” a Practical Method for Grading the Cognitive State of Patients for the Clinician. J. Psychiatr. Res. 1975, 12, 189–198. [Google Scholar] [CrossRef]
- Vellas, B.; Guigoz, Y.; Garry, P.J.; Nourhashemi, F.; Bennahum, D.; Lauque, S.; Jean-Louis, A. The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition 1999, 15, 116–122. [Google Scholar] [CrossRef]
- Kondrup, J.; Rasmussen, H.H.; Hamberg, O.; Stanga, Z.; Ad Hoc ESPEN Working Group. Nutritional risk screening (NRS 2002, a new method based on an analysis of controlled clinical trials. Clin. Nutr. 2003, 22, 321–326. [Google Scholar] [CrossRef]
- Mahoney, F.I.; Barthel, D.W. Functional Evaluation, The Barthel Index. Md. State Med. J. 1965, 14, 61–65. [Google Scholar]
- Medical Research Council (MRC). Aids to the Examination of the Peripheral Nervous System—MRC; Memorandum, No.45 (Superseding War Memorandum No.7); HMSO: London, UK, 1976.
- Preston, D.C.; Shapiro, B.E. Electromyography and Neuromuscular Disorders, Clinical-Electrophysiologic Correlations; Elsevier-Saunders: Beijing, China, 2013. [Google Scholar]
- Lee, H.J.; DeLisa, J.A. Manual of Nerve Conduction Study and Surface Anatomy for Needle Electromyography, 4th ed.; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2005. [Google Scholar]
- Chen, S.; Andary, M.; Buschbacher, R.; Del Toro, D.; Smith, B.; So, Y.; Do, K.Z.; Dillingham, T.R. Electrodiagnostic Reference Values for Upper and Lower Limb Nerve Conduction Studies in Adult Populations. Muscle Nerve 2016, 54, 371–377. [Google Scholar] [CrossRef] [PubMed]
- Berg, K.O.; Wood-Dauphine, S.; Williams, J.I.; Gayton, D. Measuring balance in the elderly, preliminary development of an instrument. Physiother. Can. 1989, 41, 304–311. [Google Scholar] [CrossRef]
- Podsiadlo, D.; Richardson, S. The timed “Up & Go”, a test of basic functional mobility for frail elderly persons. J. Am. Geriatr. Soc. 1991, 39, 142–148. [Google Scholar]
- Wang, T.J.; Chau, B.; Lui, M.; Lam, G.T.; Lin, N.; Humbert, S. Physical Medicine and Rehabilitation and Pulmonary Rehabilitation for COVID-19. Ann. Phys. Rehabil. Med. 2020, 99, 769–774. [Google Scholar] [CrossRef] [PubMed]
- Finsterer, J.; Scorza, F.A.; Scorza, C.A.; Fiorini, A.C. Peripheral neuropathy in COVID-19 is due to immune-mechanisms, pre-existing risk factors, anti-viral drugs, or bedding in the Intensive Care Unit. Arq. Neuro Psiquiatr. 2021, 79, 924–928. [Google Scholar] [CrossRef] [PubMed]
- Needham, E.; Newcombe, V.; Michell, A.; Thornton, R.; Grainger, A.; Anwar, F.; Warburton, E.; Menon, D.; Trivedi, M.; Sawcer, S. Mononeuritis multiplex, an unexpectedly frequent feature of severe COVID-19. J. Neurol. 2021, 268, 2685–2689. [Google Scholar] [CrossRef] [PubMed]
- Odriozola, A.; Ortega, L.; Martinez, L.; Odriozola, S.; Torrens, A.; Corroleu, D.; Martínez, S.; Ponce, M.; Meije, Y.; Presas, M.; et al. Widespread sensory neuropathy in diabetic patients hospitalized with severe COVID-19 infection. Diabetes Res. Clin. Pract. 2021, 172, 108631. [Google Scholar] [CrossRef]
- Balbi, P.; Saltalamacchia, A.; Lullo, F.; Fuschillo, S.; Ambrosino, P.; Moretta, P.; Lanzillo, B.; Maniscalco, M. Peripheral Neuropathy in Patients Recovering from Severe COVID-19, A Case Series. Medicina 2022, 58, 523. [Google Scholar] [CrossRef]
- Recalde, M.; Pistillo, A.; Fernandez-Bertolin, S.; Roel, E.; Maria, A.; Freisling, H.; Prieto-Alhambra, D.; Burn, E.; Duarte-Salles, T. Body Mass Index and Risk of COVID-19 Diagnosis, Hospitalization, and Death, A Cohort Study of 2 524 926 Catalans. J. Clin. Endocrinol. Metab. 2021, 106, e5030–e5042. [Google Scholar] [CrossRef]
- Di Filippo, L.; De Lorenzo, R.; D’Amico, M.; Sofia, V.; Roveri, L.; Mele, R.; Saibene, A.; Rovere-Querini, P.; Conte, C. COVID-19 is associated with clinically significant weight loss and risk of malnutrition, independent of hospitalisation, A post-hoc analysis of a prospective cohort study. Clin. Nutr. 2021, 40, 2420–2426. [Google Scholar] [CrossRef]
- Vessey, M.P.; Villard-Mackintosh, L.; Yeates, D. Epidemiology of carpal tunnel syndrome in women of childbearing age. Findings in a large cohort study. Int. J. Epidemiol. 1990, 19, 655–659. [Google Scholar] [CrossRef]
- Cruz-Martinez, A.; Arpa, J.; Palau, F. Peroneal neuropathy after weight loss. J. Peripher. Nerv. Syst. 2000, 5, 101–105. [Google Scholar] [CrossRef] [PubMed]
- Sotaniemi, K.A. Slimmer’s paralysis peroneal neuropathy during weight reduction. J. Neurol. Neurosurg. Psychiatry 1984, 47, 564–566. [Google Scholar] [CrossRef] [Green Version]
- Suh, J.; MukerjiCollens, S.I.; Padera, R.F.; Pinkus, G.S.; Amato, A.A.; Solomon, I.H. Skeletal Muscle and Peripheral Nerve Histopathology in COVID-19. Neurology 2021, 97, e849–e858. [Google Scholar] [CrossRef] [PubMed]
- Cabañes-Martínez, L.; Villadóniga, M.; González-Rodríguez, L.; Araque, L.; Díaz-Cid, A.; Ruz-Caracuel, I.; Pian, H.; Sánchez-Alonso, S.; Fanjul, S.; del Álamo, M.; et al. Neuromuscular involvement in COVID-19 critically ill patients. Clin. Neurophysiol. 2020, 131, 2809–2816. [Google Scholar] [CrossRef] [PubMed]
- Verveen, A.; Müller, F.; Lloyd, A.; Moss-Morris, R.; Omland, T.; Penninx, B.; Raijmakers, R.P.H.; van der Schaaf, M.; Sandler, C.X.; Stavem, K.; et al. A research agenda for post-COVID-19 fatigue. J. Psychosom. Res. 2022, 154, 110726. [Google Scholar] [CrossRef] [PubMed]
- Hickie, I.; Davenport, T.; Wakefield, D.; Vollmer-Conna, U.; Cameron, B.; Vernon, S.D.; Reeves, W.C.; Lloyd, A. Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: Prospective cohort study. BMJ 2006, 333, 575. [Google Scholar] [CrossRef] [Green Version]
- Sharpe, M.C.; Archard, L.C.; Banatvala, J.E.; Borysiewicz, L.K.; Clare, A.W.; David, A.; Edwards, R.H.T.; Hawton, K.E.H.; Lambert, H.P.; Lane, R.J.M.; et al. A report—Chronic fatigue syndrome: Guidelines for research. J. R. Soc. Med. 1991, 84, 118–121. [Google Scholar] [CrossRef] [Green Version]
- Bisaccia, G.; Ricci, F.; Recce, V.; Serio, A.; Iannetti, G.; Chahal, A.A.; Ståhlberg, M.; Khanji, M.Y.; Fedorowski, A.; Gallina, S. Post-acute sequelae of COVID-19 and cardiovascular autonomic dysfunction: What do we know? J. Cardiovasc. Dev. Dis. 2021, 8, 156. [Google Scholar] [CrossRef] [PubMed]
- Cheval, B.; Sieber, S.; Maltagliati, S.; Millet, G.P.; Formánek, T.; Chalabaev, A.; Cullati, S.; Boisgontier, M.P. Muscle strength is associated with COVID-19 hospitalization in adults 50 years of age or older. J. Cachexia Sarcopenia Muscle 2021, 12, 1136–1143. [Google Scholar] [CrossRef]
- Laukkanen, J.A.; Voutilainen, A.; Kurl, S.; Araujo, C.G.S.; Jae, S.Y.; Kunutsor, S.K. Handgrip strength is inversely associated with fatal cardiovascular and all-cause mortality events. Ann. Med. 2020, 52, 109–119. [Google Scholar] [CrossRef]
- Troosters, T.; Gosselink, R.; Decramer, M. Six minute walking distance in healthy elderly subjects. Eur. Respir. J. 1999, 14, 270–274. [Google Scholar] [CrossRef]
Characteristics | Women (n = 18) | Men (n = 25) | All (n = 43) | |||
---|---|---|---|---|---|---|
Mean (S.D.) | Range | Mean (S.D.) | Range | Mean (S.D.) | Range | |
Years of age | 51 (9) | 32–60 | 51 (9) | 38–74 | 51 (9) | 32–74 |
Days from onset to hospitalization | 9 (4) | 5–20 | 11 (5) | 2–28 | 10 (5) | 2–28 |
Days in hospital | 16 (11) | 7–55 | 16 (12) | 7–61 | 16 (11) | 7–61 |
n | % | n | % | n | % | |
Type 2 diabetes | 5 | 27 | 4 | 16 | 9 | 20 |
Systemic high blood pressure | 6 | 33 | 7 | 28 | 13 | 30 |
B.M.I. ≥ 25 at hospital admission | 15 | 83 | 21 | 21 | 36 | 83 |
B.M.I. ≥ 25 at hospital discharge | 10 | 55 | 12 | 12 | 22 | 51 |
Evaluation I | Evaluation II | |||||
---|---|---|---|---|---|---|
Symptoms | Women (n = 18) | Men (n = 25) | All (n = 43) | Women (n = 17) | Men (n = 23) | All (n = 40) |
Myalgia | 11 (61%) | 8 (32%) | 19 (44%) | 7 (41%) | 6 (26%) | 13 (32%) |
Fatigue | 15 (83%) | 18 (72%) | 33 (77%) | 11 (65%) | 10 (43%) | 21 (52%) |
Muscle spasms/twitches/tremors | 7 (39%) | 5 (20%) | 12 (28%) | 5 (29%) | 2 (9%) | 7 (17%) |
Numbness/tingling/burning sensations | 8 (44%) | 6 (24%) | 14 (33%) | 5 (29%) | 2 (9%) | 7 (17%) |
Test | Evaluation I | Evaluation II | ||||
---|---|---|---|---|---|---|
Right | Left | Average | Right | Left | Average | |
Men | ||||||
Handgrip (kg) | 33.7 ± 7.0 | 32.0 ± 7.7 | 32.9 ± 7.4 | 32.5 ± 6.3 | 30.9 ± 5.7 | 31.7 ± 6.1 |
Normalized handgrip (kg) | - | - | 0.42 ± 0.10 | - | - | 0.38 ± 0.09 |
Quadriceps (kg) | 34.6 ± 10.1 | 33.8 ± 10.4 | 34.2 ± 10.3 | 40.5 ± 7.4 | 39.9 ± 6.8 | 40.2 ± 7.1 |
Normalized quadriceps | - | - | 0.43 ± 0.12 | - | - | 0.49 ± 0.11 |
Women | ||||||
Handgrip (kg) | 21.7 ± 5.1 | 21.7 ± 3.9 | 21.7 ± 4.5 | 22.7 ± 6.2 | 22.9 ± 5.3 | 22.8 ± 5.7 |
Normalized handgrip (kg) | - | - | 0.31 ± 0.08 | - | - | 0.31 ± 0.10 |
Quadriceps (kg) | 26.6 ± 8.4 | 24.8 ± 7.9 | 25.7 ± 8.2 | 29.9 ± 6.9 | 29.5 ± 7.5 | 29.7 ± 7.2 |
Normalized quadriceps | - | - | 0.36 ± 0.10 | - | - | 0.40 ± 0.10 |
Evaluation I | Evaluation II | ||||||||
---|---|---|---|---|---|---|---|---|---|
Latency (milliseconds) | Amplitude (microamperes) | Latency (milliseconds) | Amplitude (microamperes) | ||||||
Nerve | Right | Left | Right | Left | Right | Left | Right | Left | |
Sensory | |||||||||
Men | Cubital | 3.2 ± 0.2 | 3.2 ± 0.2 | 22.2 ± 4.6 | 21.5 ± 5.9 | 3.2 ± 0.1 | 3.2 ± 0.1 | 25.4 ± 2.1 | 25.5 ± 2.5 |
Median | 3.4 ± 0.5 | 3.4 ± 0.5 | 24.6 ± 11.5 | 26.0 ± 11.7 | 3.5 ± 0.5 | 3.4 ± 0.5 | 27.3 ± 11.3 | 28.2 ± 10.5 | |
Radial | 3.0 ± 0.2 | 3.0 ± 0.2 | 9.5 ± 2.5 | 9.9 ± 2.5 | 3.0 ± 0.1 | 3.0 ± 0.1 | 10.8 ± 2.1 | 10.7 ± 1.9 | |
Sural | 2.6 ± 0.4 | 2.8 ± 0.3 | 18.6 ± 5.4 | 17.0 ± 6.3 | 2.9 ± 0.3 | 2.9 ± 0.3 | 17.2 ± 4.8 | 17.7 ± 5.0 | |
Women | Cubital | 3.0 ± 0.2 | 2.9 ± 0.3 | 27.7 ± 12.4 | 30.2 ± 15.4 | 3.0 ± 0.2 | 3.0 ± 0.2 | 30.1 ± 11.7 | 31.3 ± 13.5 |
Median | 3.5 ± 0.7 | 3.4 ± 0.7 | 27.4 ± 17.7 | 27.4 ± 15.2 | 3.6 ± 0.7 | 3.6 ± 0.5 | 28 ± 16.1 | 30.1 ± 15.2 | |
Radial | 2.9 ± 0.3 | 2.9 ± 0.3 | 12.1 ± 5.1 | 12.0 ± 4.0 | 2.9 ± 0.2 | 2.9 ± 0.2 | 12.1 ± 4.0 | 12.2 ± 3.6 | |
Sural | 2.7 ± 0.3 | 2.8 ± 0.3 | 18.9 ± 9.7 | 17.1± 7.5 | 2.9 ± 0.3 | 2.9± 0.3 | 18.8 ± 8.7 | 18.9 ± 9.8 | |
Amplitude (milliamperes) | Velocity (m/s) | Amplitude (milliamperes) | Velocity (m/s) | ||||||
Right | Left | Right | Left | Right | Left | Right | Left | ||
Motor | |||||||||
Men | Cubital | 4.3 ± 1.5 | 4.8 ± 1.7 | 59.5 ± 5.3 | 58.5 ± 4.5 | 5.0 ± 1.2 | 5.3 ± 1.3 | 59.1 ± 4.5 | 58.6 ± 3.4 |
Median | 5.7 ± 1.7 | 5.9 ± 1.5 | 54.4 ± 2.4 | 54.6 ± 2.7 | 7.0 ± 1.3 | 7.0 ± 1.2 | 55.4 ± 2.2 | 56.0 ± 2.3 | |
Peroneal | 2.7 ± 1.3 | 2.6 ± 1.5 | 50.2 ± 5.8 | 48.8 ± 5.1 | 3.2 ± 1.1 | 3.1 ± 1.3 | 49.1 ± 4.2 | 48.5 ± 4.8 | |
Tibial | 4.6 ± 2.3 | 4.3 ± 2.0 | 49.0 ± 5.2 | 48.9 ± 5.5 | 5.0 ± 2.1 | 4.9 ± 2.0 | 48.8 ± 4.0 | 48.4 ± 4.4 | |
Women | Cubital | 4.1 ± 1.6 | 4.2 ± 1.6 | 60.0 ± 5.8 | 59.8 ± 6.8 | 4.7 ± 1.4 | 4.9 ± 1.5 | 59.6 ± 5.2 | 59.8 ± 5.1 |
Median | 5.1 ± 2.3 | 5.7 ± 1.7 | 53.8 ± 5.5 | 55.4 ± 5.5 | 6.2 ± 2.3 | 7.0 ± 0.8 | 54.2 ± 5.5 | 55.7 ± 5.6 | |
Peroneal | 2.6 ± 0.9 | 2.8 ± 1.5 | 51.2 ± 4.6 | 50.3 ± 6.9 | 3.3 ± 0.9 | 3.3 ± 1.4 | 51.1 ± 3.5 | 49.9 ± 6.0 | |
Tibial | 4.4 ± 1.5 | 4.3 ± 1.6 | 49.7 ± 8.7 | 49.2 ± 8.3 | 4.7 ± 1.6 | 4.7 ± 1.5 | 49.8 ± 7.6 | 49.5 ± 7.1 | |
F-Wave Latency (milliseconds) | H-Reflex Latency (milliseconds) | F-Wave Latency (milliseconds) | H-Reflex Latency (milliseconds) | ||||||
Right | Left | Right | Left | Right | Left | Right | Left | ||
Men | |||||||||
Cubital | 27.1 ± 1.9 | 27.2 ± 1.7 | - | - | 26.2 ± 5.3 | 27.3 ± 1.7 | - | - | |
Median | 27.1 ± 1.6 | 27.1 ± 1.7 | 16.9 ± 2.0 | 17.1 ± 2.0 | 27.2 ± 1.6 | 27.3 ± 1.7 | 16.8 ± 0.6 | 16.8 ± 0.6 | |
Tibial | 48.4 ± 3.7 | 48.4 ± 3.8 | 30.7 ± 2.9 | 30.2 ± 2.5 | 48.4 ± 3.7 | 48.4 ± 3.7 | 30.0 ± 1.5 | 29.9 ± 1.5 | |
Women | |||||||||
Cubital | 25.7 ± 2.6 | 25.6 ± 2.6 | - | - | 25.8 ± 2.6 | 25.7 ± 2.6 | - | - | |
Median | 25.9 ± 2.5 | 25.5 ± 2.2 | 16.3 ± 2.0 | 16.3 ± 2.3 | 26.1 ± 2.4 | 25.8 ± 2.3 | 16.7 ± 1.6 | 16.5 ± 2.1 | |
Tibial | 44.5 ± 2.5 | 45.3 ± 3.5 | 30.0 ± 3.2 | 29.7 ± 2.2 | 44.8 ± 2.5 | 44.8 ± 2.6 | 30.1 ± 3.2 | 29.7 ± 2.2 |
Variable | Evaluation I | Evaluation II |
---|---|---|
Distance (meters) | 531 ± 80.1 | 576 ± 87.8 |
Proportional distance from predicted (%) | 78.9 ± 9.6 | 86 ± 11.2 |
Initial oxygen saturation (%) | 94 ± 2 | 95 ± 2 |
Minimum oxygen saturation (%) | 89 ± 4 | 92 ± 2 |
Initial respiratory rate (breaths per minute) | 20 ± 2 | 19 ± 1 |
Respiratory rate at the end (breaths per minute) | 27 ± 3 | 25 ± 2 |
Initial heart rate (beats per minute) | 80 ± 16 | 77 ± 12 |
Maximum heart rate (beats per minute) | 120 ± 22 | 125 ± 12 |
Initial arterial blood pressure (mmHg) | 123 ± 13/79 ± 11 | 126 ± 15/79 ± 11 |
Arterial blood pressure at the end (mmHg) | 134 ± 19/82 ± 10 | 134 ± 17/81 ± 8 |
Test | Factors | Evaluation I | Evaluation II | ||
---|---|---|---|---|---|
Beta (ß) | 95% C.I. | Beta (ß) | 95% C.I. | ||
Berg Balance Scale | MRC scale score | 0.10 | −0.23–0.42 | −0.02 | −0.36–0.33 |
Handgrip (dominant hand) | −0.17 | −0.62–0.29 | −0.36 | −0.84–0.13 | |
6MWT distance | 0.52 | 0.17–0.88 | 0.31 | −0.07–0.69 | |
Body mass index at hospital admission | −0.28 | −0.58–0.02 | −0.48 | −0.80–−0.17 | |
Sex | −0.02 | −0.41–0.37 | −0.32 | −0.73–0.10 | |
Timed-Up-and-Go test | Handgrip (dominant hand) | −0.76 | −1.14–−0.39 | −0.30 | −0.77–0.16 |
Distance on the 6MWT | −0.36 | −0.68–−0.04 | −0.29 | −0.68–0.11 | |
Proportional weight loss | −0.48 | −0.76–−0.19 | −0.51 | −0.86–−0.16 | |
Sex | −0.73 | −1.08–−0.39 | −0.33 | −0.76–0.10 | |
Electrophysiology abnormalities | −0.24 | −0.52–0.04 | −0.40 | −0.75–−0.06 | |
Sex*electrophysiology abnormalities | −0.12 | −0.36–0.12 | −0.20 | −0.50–0.10 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Figueroa-Padilla, I.; Rivera Fernández, D.E.; Cházaro Rocha, E.F.; Eugenio Gutiérrez, A.L.; Jáuregui-Renaud, K. Body Weight May Have a Role on Neuropathy and Mobility after Moderate to Severe COVID-19: An Exploratory Study. Medicina 2022, 58, 1401. https://0-doi-org.brum.beds.ac.uk/10.3390/medicina58101401
Figueroa-Padilla I, Rivera Fernández DE, Cházaro Rocha EF, Eugenio Gutiérrez AL, Jáuregui-Renaud K. Body Weight May Have a Role on Neuropathy and Mobility after Moderate to Severe COVID-19: An Exploratory Study. Medicina. 2022; 58(10):1401. https://0-doi-org.brum.beds.ac.uk/10.3390/medicina58101401
Chicago/Turabian StyleFigueroa-Padilla, Ignacio, Dalia E. Rivera Fernández, Erick F. Cházaro Rocha, Alma L. Eugenio Gutiérrez, and Kathrine Jáuregui-Renaud. 2022. "Body Weight May Have a Role on Neuropathy and Mobility after Moderate to Severe COVID-19: An Exploratory Study" Medicina 58, no. 10: 1401. https://0-doi-org.brum.beds.ac.uk/10.3390/medicina58101401