Literature DB >> 32423471

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

Lucio Cipollaro1,2, Lorenzo Giordano1,2, Johnny Padulo3, Francesco Oliva1,2, Nicola Maffulli4,5,6,7.   

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Year:  2020        PMID: 32423471      PMCID: PMC7232908          DOI: 10.1186/s13018-020-01702-w

Source DB:  PubMed          Journal:  J Orthop Surg Res        ISSN: 1749-799X            Impact factor:   2.359


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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 (R) 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 patientsSexAge (mean SD or median IQR)Study designCountry
Zheng et al. [8]99

M 51

F 48

49.40 (SD 18.45)Retrospective single centerChina
Lei et al. [9]34

M 14

F 20

55 (43–63)Retrospective single centerChina
Mo et al. [10]155

M 86

F 69

54 (42–66)Retrospective single centerChina
Qian et al. [11]91

M 37

F 54

50 (54–80)Retrospective multi-centerChina
Ma et al. [12]37

M 20

F 17

62 (59–70)Retrospective single centerChina
Jin et al. [13]651

M 331

F 246

46.0 (32–60)Retrospective multi-centerChina
Zheng et al. [14]161

M 80

F 81

45.0 (33.5–57)Retrospective single centerChina
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 centerChina
Zhou et al. [17]21

M 13

F 8

66.1 (SD 13.94)Retrospective single centerChina
Lo et al. [18]10

M 3

F 7

54 (27–64)Retrospective single centerChina
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 centerChina
Feng et al. [22]476

M 271

F 205

53.0 (40–64)Retrospective multi-centerChina
Chen et al. [23]274

M 171

F 103

62.0 (44–70)Retrospective single centerChina
Zhang et al. [24]140

M 71

F 69

57.0 (25–87)Retrospective multi-centerChina
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 centerChina
Wan et al. [27]135

M 72

F 63

47.0 (36–55)Retrospective single centerChina
Cao et al. [28]102

M 53

F 49

54.0 (37–67)Retrospective single centerChina
Wang et al. [29]339

M 166

F 173

69.0 (65–76)Retrospective single centerChina
Xu et al. [30]62

M 36

F 27

41.0 (32–52)Retrospective single centerChina
Zhou et al. [31]191

M 119

F 72

56.0 (46–67)Retrospective multi-center cohort studyChina
Wu et al. [32]201

M 128

F 73

51.0 (43–60)Retrospective single center cohort studyChina
Du et al. [33]85

M 62

F 23

65.8Retrospective multi-centerChina
Wang et al. [34]69

M 32

F 37

42.0 (35–62)Retrospective single centerChina
Guan et al. [35]1099

M 640

F 459

47.0 (35–58)Retrospective multi-centerChina
Goyal et al. [36]393

M 238

F 155

62.2 (49–74)Retrospective multi-centerUSA
Zhang et al. [37]28

M 17

F 11

65.0 (56–70)Retrospective single centerChina
Chen et al. [38]118

M 0

F 118

31.0 (28–34)Retrospective single centerChina
Wang et al. [39]1012

M 524

F 488

50.0 (39–58)Retrospective multi-centerChina
Xia et al. [40]10

M 6

F 4

56.5Retrospective single centerChina
Liang et al. [41]1590

M 904

F 674

48.9 (SD 16.3)Retrospective multi-centerChina
Dai et al. [42]234

M 136

F 98

44.6Retrospective single centerChina
Li et al. [43]25

M 12

F 13

45.6Retrospective single centerChina
Chu et al. [44]54

M 36

F 18

39Retrospective single centerChina
Qi et al. [45]70

M 39

F 31

39.5Retrospective multi-centerChina
Godaert et al. [46]17

M 8

F 9

86.5Retrospective single centerFrance
Ye et al. [47]5

M 2

F 3

30.0Retrospective single centerChina
Huang et al. [48]22

M 6

F 16

22.0 (16.0–23.0)Retrospective single centerChina
Tian et al. [49]262

M 127

F 135

47.5Retrospective single centerChina
Huang et al. [50]34

M 14

F 20

56.2Retrospective single centerChina
Xia et al. [51]20

M 13

F 7

1.5Retrospective single centerChina
Zhao et al. [52]101

M 56

F 45

44.44Retrospective multi-centerChina
Xu et al. [53]51

M 25

F 26

41.6Retrospective single centerChina
Li et al. [54]548

M 279

F 269

60.0 (48–69)Retrospective single centerChina
Xu et al. [55]90

M 39

F 51

50.0 (18–86)Retrospective single centerChina
Lei et al. [56]119

M 77

F 42

49.0 (SD 13.6)Retrospective multi-centerChina
Pung et al. [57]17

M 7

F 10

40.0Retrospective single centerSingapore
Xu et al. [71]50

M 29

F 21

42.3Retrospective single centerChina
Escalera-Antezana et al. [58]12

M 6

F 6

36.5Retrospective single centerBolivia
Lechien et al. [59]417

M 154

F 263

36.9 (SD 11.4)Retrospective multi-centerEurope
Dong et al. [72]11

M 5

F 6

40.3Retrospective single centerChina
Total: 5412.046

M 6427 (54%)

F 5597 (46%)

52.13
Table 2

Musculoskeletal symptoms

Study (year)No. of patientsFatigue (nr/%)Arthralgia/Myalgia (nr/%)
Zheng et al. [37]9972 (73%)12 (12%)
Lei et al. [36]3425 (73.5%)11 (32.4%)
Mo et al. [60]15560 (73.2)50 (61.0%)
Qian et al. [61]9140 (43.96%)5 (5.49%)
Ma et al. [62]374 (10.8%)4 (10.8%)
Jin et al. [10]651119 (18.2%)/
Zheng et al. [11]16164 (39.8%)18 (11.2%)
Wang et al. [12]8028 (35%)19 (23.75%)
Chen et al. [13]20316 (7.9%)54 (26.6)
Zhou et al. [14]215 (23.8%)2 (9.5%)
Lo et al. [15]10/3 (30%)
Huang et al. [16]4118 (44%)/
Zhang et al. [17]645118 (18.3%)71 (11%)
Chen et al. [18]24939 (15.7%)/
Feng et al. [19]476/59 (12.4%)
Chen et al. [20]274137 (50%)60 (22%)
Zhang et al. [58]140105 (75%)/
Lian et al. [47]788139 (17.6%)91 (11.5%)
Cai et al. [21]29813 (4.3%)/
Wan et al. [22]135/44 (32.5%)
Cao et al. [9]10256 (54.9%)35 (34.3)
Wang et al. [32]339135 (39.9%)16 (4.7%)
Xu et al. [26]62/32 (52%)
Zhou et al. [27]19144 (23%)29 (15%)
Wu et al. [29]20165 (32.3%)/
Du et al. [33]8550 (58.8%)14 (16.5%)
Wang et al. [35]6929 (42%)21 (30%)
Guan et al. [33]1099419 (38%)164 (15%)
Goyal et al. [46]393/94 (24%)
Zhang et al. [24]2818 (64%)4 (14%)
Chen et al. [34]11819 (16%)/
Wang et al. [41]1012/170 (17%)
Xia et al. [38]103 (30%)/
Liang et al. [39]1590680 (43%)278 (17%)
Dai et al. [40]23431 (13%)21 (9%)
Li et al. [41]2517 (68%)/
Chu et al. [42]549 (17%)3 (6%)
Qi et al. [43]70/12 (17%)
Godaert et al. [7]1710 (59%)/
Ye et al. [28]55 (100%)/
Huang et al. [44]225 (23%)4 (18%)
Tian et al. [45]26269 (26%)/
Huang et al. [8]34/22 (65%)
Xia et al. [48]201 (5%)/
Zhao et al. [49]101/17 (17%)
Xu et al. [25]512 (4%)8 (16%)
Li et al. [51]548258 (47%)111 (20%)
Xu et al. [52]9019 (21%)25 (28%)
Lei et al. [54]119/18 (15%)
Pung et al. [6]17/5 (29%)
Xu et al. [55]508 (16%)8 (16%)
Escalera-Antezana et al. [59]12/5 (42%)
Lechien et al. [57]417129 (31%)246 (59%)
Dong et al. [56]112 (18%)1 (9%)
Total: 54Tot: 12,0463085 (25.6%)1866 (15.5%)
Demographics M 51 F 48 M 14 F 20 M 86 F 69 M 37 F 54 M 20 F 17 M 331 F 246 M 80 F 81 M 31 F 49 M 108 F 95 M 13 F 8 M 3 F 7 M 30 F 11 M 328 F 317 M 126 F 123 M 271 F 205 M 171 F 103 M 71 F 69 M 407 F 381 M 145 F 153 M 72 F 63 M 53 F 49 M 166 F 173 M 36 F 27 M 119 F 72 M 128 F 73 M 62 F 23 M 32 F 37 M 640 F 459 M 238 F 155 M 17 F 11 M 0 F 118 M 524 F 488 M 6 F 4 M 904 F 674 M 136 F 98 M 12 F 13 M 36 F 18 M 39 F 31 M 8 F 9 M 2 F 3 M 6 F 16 M 127 F 135 M 14 F 20 M 13 F 7 M 56 F 45 M 25 F 26 M 279 F 269 M 39 F 51 M 77 F 42 M 7 F 10 M 29 F 21 M 6 F 6 M 154 F 263 M 5 F 6 M 6427 (54%) F 5597 (46%) Musculoskeletal symptoms 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).
Fig. 1

Relationships of fatigue and arthralgia/myalgia on all patients

Relationships of fatigue and arthralgia/myalgia on all patients 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, 60–62, 67–70]. 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.
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