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Erschienen in: Journal of Orthopaedic Surgery and Research 1/2020

Open Access 19.05.2020 | COVID-19 | Editorial

Musculoskeletal symptoms in SARS-CoV-2 (COVID-19) patients

verfasst von: Lucio Cipollaro, Lorenzo Giordano, Johnny Padulo, Francesco Oliva, Nicola Maffulli

Erschienen in: Journal of Orthopaedic Surgery and Research | Ausgabe 1/2020

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The novel SARS-CoV-2 (COVID-19) became a pandemic on 11 March 2020. The epidemiological picture is constantly evolving, and on 13 May, 4,170,424 cases and 287,399 confirmed deaths have been reported (WHO Report). People with COVID-19 infection may show several symptoms, including fever, cough, nausea, vomiting, dyspnea, myalgia, fatigue, arthralgia, headache, diarrhea, and rarely arthritis [1]. COVID-19 clinical features range from asymptomatic patients to acute respiratory distress syndrome (ARDS) and multiple organ dysfunction [2, 3]. Influenza symptoms are associated with a cascade of inflammatory mediators. Interleukin-6 (IL-6) and tumor necrosis factor-α (TNF- α) levels in plasma and upper respiratory secretions directly correlate with the magnitude of viral replication, fever, and respiratory and systemic symptoms, including musculoskeletal clinical manifestations [4, 5] Musculoskeletal symptoms such as fatigue, myalgia and arthralgia are common COVID-19 symptoms, but their prevalence has not yet been systematically investigated [6, 7]. We collected the published clinical data of the past 5 months to ascertain the prevalence of musculoskeletal symptoms and epidemiological characteristics published worldwide in COVID-19 patients.
Data were tabulated using Microsoft ExcelTM 2020 V.16.34. The value was showed as mean ± SD. Student t test was used to reveal musculoskeletal symptoms between the total sample. To assess the incidence for each clinical variable, frequency analysis was performed. Regression analysis (R2) was used to examine correlations between the total sample and musculoskeletal symptoms extracted. The level of significant was set at p < 0.05.
The relevant reference and the data collected from the included articles are indicated in Tables 1 and 2.
Table 1
Demographics
Study (year)
No. of patients
Sex
Age (mean SD or median IQR)
Study design
Country
Zheng et al. [8]
99
M 51
F 48
49.40 (SD 18.45)
Retrospective single center
China
Lei et al. [9]
34
M 14
F 20
55 (43–63)
Retrospective single center
China
Mo et al. [10]
155
M 86
F 69
54 (42–66)
Retrospective single center
China
Qian et al. [11]
91
M 37
F 54
50 (54–80)
Retrospective multi-center
China
Ma et al. [12]
37
M 20
F 17
62 (59–70)
Retrospective single center
China
Jin et al. [13]
651
M 331
F 246
46.0 (32–60)
Retrospective multi-center
China
Zheng et al. [14]
161
M 80
F 81
45.0 (33.5–57)
Retrospective single center
China
Wang et al. [15]
80
M 31
F 49
39.0 (32–48.5)
Retrospective multi-center (electronic database)
China
Chen et al. [16]
203
M 108
F 95
54.0 (20–91)
Retrospective single center
China
Zhou et al. [17]
21
M 13
F 8
66.1 (SD 13.94)
Retrospective single center
China
Lo et al. [18]
10
M 3
F 7
54 (27–64)
Retrospective single center
China
Huang et al. [19]
41
M 30
F 11
49.0 (41.0–58.0)
Prospective multi-center (electronic database)
China
Zhang et al. [20]
645
M 328
F 317
46.65 (SD 13.82)
Retrospective multi-center (electronic database)
China
Chen et al. [21]
249
M 126
F 123
51.0 (36–64)
Retrospective single center
China
Feng et al. [22]
476
M 271
F 205
53.0 (40–64)
Retrospective multi-center
China
Chen et al. [23]
274
M 171
F 103
62.0 (44–70)
Retrospective single center
China
Zhang et al. [24]
140
M 71
F 69
57.0 (25–87)
Retrospective multi-center
China
Lian et al. [25]
788
M 407
F 381
41.15 (SD 11.38)
Retrospective multi-center (electronic database)
China
Cai et al. [26]
298
M 145
F 153
47.5 (33–61)
Retrospective single center
China
Wan et al. [27]
135
M 72
F 63
47.0 (36–55)
Retrospective single center
China
Cao et al. [28]
102
M 53
F 49
54.0 (37–67)
Retrospective single center
China
Wang et al. [29]
339
M 166
F 173
69.0 (65–76)
Retrospective single center
China
Xu et al. [30]
62
M 36
F 27
41.0 (32–52)
Retrospective single center
China
Zhou et al. [31]
191
M 119
F 72
56.0 (46–67)
Retrospective multi-center cohort study
China
Wu et al. [32]
201
M 128
F 73
51.0 (43–60)
Retrospective single center cohort study
China
Du et al. [33]
85
M 62
F 23
65.8
Retrospective multi-center
China
Wang et al. [34]
69
M 32
F 37
42.0 (35–62)
Retrospective single center
China
Guan et al. [35]
1099
M 640
F 459
47.0 (35–58)
Retrospective multi-center
China
Goyal et al. [36]
393
M 238
F 155
62.2 (49–74)
Retrospective multi-center
USA
Zhang et al. [37]
28
M 17
F 11
65.0 (56–70)
Retrospective single center
China
Chen et al. [38]
118
M 0
F 118
31.0 (28–34)
Retrospective single center
China
Wang et al. [39]
1012
M 524
F 488
50.0 (39–58)
Retrospective multi-center
China
Xia et al. [40]
10
M 6
F 4
56.5
Retrospective single center
China
Liang et al. [41]
1590
M 904
F 674
48.9 (SD 16.3)
Retrospective multi-center
China
Dai et al. [42]
234
M 136
F 98
44.6
Retrospective single center
China
Li et al. [43]
25
M 12
F 13
45.6
Retrospective single center
China
Chu et al. [44]
54
M 36
F 18
39
Retrospective single center
China
Qi et al. [45]
70
M 39
F 31
39.5
Retrospective multi-center
China
Godaert et al. [46]
17
M 8
F 9
86.5
Retrospective single center
France
Ye et al. [47]
5
M 2
F 3
30.0
Retrospective single center
China
Huang et al. [48]
22
M 6
F 16
22.0 (16.0–23.0)
Retrospective single center
China
Tian et al. [49]
262
M 127
F 135
47.5
Retrospective single center
China
Huang et al. [50]
34
M 14
F 20
56.2
Retrospective single center
China
Xia et al. [51]
20
M 13
F 7
1.5
Retrospective single center
China
Zhao et al. [52]
101
M 56
F 45
44.44
Retrospective multi-center
China
Xu et al. [53]
51
M 25
F 26
41.6
Retrospective single center
China
Li et al. [54]
548
M 279
F 269
60.0 (48–69)
Retrospective single center
China
Xu et al. [55]
90
M 39
F 51
50.0 (18–86)
Retrospective single center
China
Lei et al. [56]
119
M 77
F 42
49.0 (SD 13.6)
Retrospective multi-center
China
Pung et al. [57]
17
M 7
F 10
40.0
Retrospective single center
Singapore
Xu et al. [71]
50
M 29
F 21
42.3
Retrospective single center
China
Escalera-Antezana et al. [58]
12
M 6
F 6
36.5
Retrospective single center
Bolivia
Lechien et al. [59]
417
M 154
F 263
36.9 (SD 11.4)
Retrospective multi-center
Europe
Dong et al. [72]
11
M 5
F 6
40.3
Retrospective single center
China
Total: 54
12.046
M 6427 (54%)
F 5597 (46%)
52.13
  
Table 2
Musculoskeletal symptoms
Study (year)
No. of patients
Fatigue (nr/%)
Arthralgia/Myalgia (nr/%)
Zheng et al. [37]
99
72 (73%)
12 (12%)
Lei et al. [36]
34
25 (73.5%)
11 (32.4%)
Mo et al. [60]
155
60 (73.2)
50 (61.0%)
Qian et al. [61]
91
40 (43.96%)
5 (5.49%)
Ma et al. [62]
37
4 (10.8%)
4 (10.8%)
Jin et al. [10]
651
119 (18.2%)
/
Zheng et al. [11]
161
64 (39.8%)
18 (11.2%)
Wang et al. [12]
80
28 (35%)
19 (23.75%)
Chen et al. [13]
203
16 (7.9%)
54 (26.6)
Zhou et al. [14]
21
5 (23.8%)
2 (9.5%)
Lo et al. [15]
10
/
3 (30%)
Huang et al. [16]
41
18 (44%)
/
Zhang et al. [17]
645
118 (18.3%)
71 (11%)
Chen et al. [18]
249
39 (15.7%)
/
Feng et al. [19]
476
/
59 (12.4%)
Chen et al. [20]
274
137 (50%)
60 (22%)
Zhang et al. [58]
140
105 (75%)
/
Lian et al. [47]
788
139 (17.6%)
91 (11.5%)
Cai et al. [21]
298
13 (4.3%)
/
Wan et al. [22]
135
/
44 (32.5%)
Cao et al. [9]
102
56 (54.9%)
35 (34.3)
Wang et al. [32]
339
135 (39.9%)
16 (4.7%)
Xu et al. [26]
62
/
32 (52%)
Zhou et al. [27]
191
44 (23%)
29 (15%)
Wu et al. [29]
201
65 (32.3%)
/
Du et al. [33]
85
50 (58.8%)
14 (16.5%)
Wang et al. [35]
69
29 (42%)
21 (30%)
Guan et al. [33]
1099
419 (38%)
164 (15%)
Goyal et al. [46]
393
/
94 (24%)
Zhang et al. [24]
28
18 (64%)
4 (14%)
Chen et al. [34]
118
19 (16%)
/
Wang et al. [41]
1012
/
170 (17%)
Xia et al. [38]
10
3 (30%)
/
Liang et al. [39]
1590
680 (43%)
278 (17%)
Dai et al. [40]
234
31 (13%)
21 (9%)
Li et al. [41]
25
17 (68%)
/
Chu et al. [42]
54
9 (17%)
3 (6%)
Qi et al. [43]
70
/
12 (17%)
Godaert et al. [7]
17
10 (59%)
/
Ye et al. [28]
5
5 (100%)
/
Huang et al. [44]
22
5 (23%)
4 (18%)
Tian et al. [45]
262
69 (26%)
/
Huang et al. [8]
34
/
22 (65%)
Xia et al. [48]
20
1 (5%)
/
Zhao et al. [49]
101
/
17 (17%)
Xu et al. [25]
51
2 (4%)
8 (16%)
Li et al. [51]
548
258 (47%)
111 (20%)
Xu et al. [52]
90
19 (21%)
25 (28%)
Lei et al. [54]
119
/
18 (15%)
Pung et al. [6]
17
/
5 (29%)
Xu et al. [55]
50
8 (16%)
8 (16%)
Escalera-Antezana et al. [59]
12
/
5 (42%)
Lechien et al. [57]
417
129 (31%)
246 (59%)
Dong et al. [56]
11
2 (18%)
1 (9%)
Total: 54
Tot: 12,046
3085 (25.6%)
1866 (15.5%)
Data on 12,046 patients (54% male and 46% females) were available. The number of patients in the selected studies ranged from 5 to 1590 patients (223 ± 312 patients). The sex ratio (male to female) was 1:15, and the overall average of patients was 52.13 years. The majority of the studies arose from China, mainly from Wuhan; one was from Singapore [57], two from Europe [46, 59], one from the USA [36], and one from Bolivia [58]. Musculoskeletal symptoms were present from the earliest stage of the viral illness and were reported in patients necessitating intensive care in the end stage of the condition. The total prevalence of fatigue symptom was 25.6% (R2 =0.56; p value = 0.004), while the prevalence of arthralgia and/or myalgia was 15.5% (R2 = 0.66; p value = 0.001; Fig. 1).
Eight studies reported a prevalence higher than 50% of patients with fatigue [8, 9, 24, 25, 28, 37, 46, 47], while three studies reported higher values for arthralgia/myalgia symptoms [50, 53, 59]. The prevalence of musculoskeletal symptoms in studies from Europe reached high values [46, 59]; Lechien et al., for example, reported on 417 COVID-19 patients from 12 European hospitals and found myalgia in 246 (59%) and arthralgia in 129 (31%) of these patients [59].
Clinical presentation of COVID-19 ranges from absence of symptoms to severe pneumonia. Fever, dry cough and fatigue are common symptoms, as indeed are myalgia and arthralgia [6, 53]. Most of the articles are retrospective single center studies: data were collected in a non-homogeneous way, especially regarding comorbidities, lifestyle habits, and severity of the illness. Based on our work, we cannot state, for example, whether children and younger patients less commonly present musculoskeletal symptoms at onset [63]. Most studies originate from China, which is not surprising, and it is not clear whether the prevalence of musculoskeletal symptoms at onset is influenced by socio-geographical factors [64]. The most common symptoms in patients with mild to moderate clinical presentation of the condition are fever, fatigue, and dry cough, followed by other symptoms including headache, nasal congestion, sore throat, myalgia, and arthralgia [65, 66].
The evidence on the central role of inflammation during COVID-19 infection underlines the need to block this inflammatory cascade [30, 6062, 6770]. The presence of musculoskeletal symptoms is worrying: there is a high rate of use, especially in the middle age and elderly population, of NSAIDs. The fact that patients therefore report musculoskeletal symptoms is even more worrying because it may imply that the inflammatory reactions overcome the anti-inflammatory effect of such drugs.
Clinical features have to be analyzed deeply, especially considering the new evidences on COVID-19. Musculoskeletal symptoms should be married with laboratory findings, such as inflammatory and infection-related parameters (Interleukin-6, Procalcitonin, C-reactive protein). Understandably, the involvement of the musculoskeletal system has not been deeply investigated during this pandemic, but synovial and muscle biopsy, and joint fluid analysis, for example, should clarify how extensive the attack of the virus on the whole of the human body is. Until now, no report has been published on the presence of COVID-19 in the skeletal muscles, joint, or bones. The musculoskeletal symptoms are only anecdotally attributed to indirect effects, mainly arising from inflammatory and/or immune response, but other mechanisms can be hypothesized, such as direct damage by the virus on the endothelium or peripheral nerves. These findings could help to plan specific rehabilitation protocols in COVID-19 patients.
As a new infectious disease, it is particularly important to underline the clinical features of COVID-19, especially in the early stage of the illness, to help clinicians to individuate and isolate patients earlier, and then minimize its diffusion. From the onset of the symptoms and to the most severe stages of COVID-19 disease, musculoskeletal symptoms, including myalgia, arthralgia, and fatigue, are a nearly constant presence. It is still unclear how the effects of COVID-19 on the musculoskeletal system are mediated.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Metadaten
Titel
Musculoskeletal symptoms in SARS-CoV-2 (COVID-19) patients
verfasst von
Lucio Cipollaro
Lorenzo Giordano
Johnny Padulo
Francesco Oliva
Nicola Maffulli
Publikationsdatum
19.05.2020
Verlag
BioMed Central
Erschienen in
Journal of Orthopaedic Surgery and Research / Ausgabe 1/2020
Elektronische ISSN: 1749-799X
DOI
https://doi.org/10.1186/s13018-020-01702-w

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