| Literature DB >> 35067551 |
Debasish Jena1, Jagannatha Sahoo, Apurba Barman, Anil Gupta, Vikas Patel.
Abstract
OBJECTIVE: As the coronavirus disease 2019 pandemic continues to grow, its clinical manifestations are still emerging and are being widely investigated. However, the pain symptoms, including neurological and musculoskeletal pain symptoms, are still poorly understood.Entities:
Mesh:
Year: 2022 PMID: 35067551 PMCID: PMC9005090 DOI: 10.1097/PHM.0000000000001969
Source DB: PubMed Journal: Am J Phys Med Rehabil ISSN: 0894-9115 Impact factor: 2.159
FIGURE 1Participant flow diagram.
Demographic and clinical characteristics of participants (N = 182)
| Mean age, yr | 48.86 ± 13.98 |
| Sex | |
| Male | 132 (72.53) |
| Female | 50 (27.47) |
| BMI, kg/m2 | |
| Normal | 112 (61.54) |
| Overweight | 61 (33.52) |
| Obese | 9 (4.94) |
| Severity of COVID-19 | |
| Mild | 102 (56.04) |
| Moderate | 62 (34.07) |
| Severe | 18 (9.89) |
| Comorbidities | 109 (59.89) |
| Type 2 diabetes mellitus | 66 (36.26) |
| Hypertension | 42 (23.08) |
| Coronary artery disease | 14 (7.69) |
| Chronic respiratory disease | 11 (6.04) |
| Hypothyroidism | 10 (5.49) |
| Neoplasm | 8 (4.39) |
| Chronic kidney disease | 7 (3.85) |
| Chronic liver disease | 6 (3.30) |
| Others | 11 (6.04) |
| Multiple (≥2 comorbidities) | 36 (19.78) |
| None | 73 (40.11) |
| Addiction | 55 (30.22) |
| Alcohol | 20 (10.99) |
| Smoking | 20 (10.99) |
| Both | 15 (8.24) |
| None | 127 (69.78) |
Data are presented as mean ± SD or n (%).
Distribution of pain and associated symptoms among the participants (N = 182)
| Musculoskeletal pain symptoms | |
| Generalized myalgia | 70 (38.46) |
| Low back pain | 41 (22.53) |
| Leg pain | 19 (10.44) |
| Polyarthralgia | 17 (9.34) |
| Knee pain | 16 (8.79) |
| Hand pain | 16 (8.79) |
| Neck/shoulder pain | 15 (8.24) |
| Foot pain | 8 (4.39) |
| Neurological pain symptoms | |
| A. Headache | 50 (27.47) |
| B. Neuropathic pain | 14 (7.69) |
| 1. Upper limb | 5 (2.75) |
| 2. Lower limb | 6 (3.30) |
| 3. Diffuse | 3 (1.65) |
| Multiple pain symptoms | |
| 1. Two symptoms | 25 (13.74) |
| 2. Three symptoms | 15 (8.24) |
| 3. Four or more symptoms | 26 (14.29) |
| No pain symptoms | 70 (38.46) |
Data are presented as n (%).
FIGURE 2Distribution of pain symptoms among participants (N = 182).
Logistic regression analysis demonstrating association of participant variables with pain symptoms (N = 182)
| Variable | Predictor | Coefficient | Standard Error |
| Odds Ratio | 95% Confidence Interval |
|---|---|---|---|---|---|---|
| Age, yr | ≥60 (vs. <60) | 0.4386 | 0.4859 | 0.3667 | 1.5505 | 0.5982–4.0187 |
| Sex | Male (vs. female) | 1.4688 | 0.4532 | 0.0012 | 4.3442 | 1.7871–10.5603 |
| BMI, kg/m2 | ≥25 (vs. <25) | 0.9798 | 0.4168 | 0.0187 | 2.6641 | 1.1770–6.0299 |
| COVID-19 severity | Moderate to severe (vs. mild) | 1.2594 | 0.3836 | 0.0010 | 3.5233 | 1.6612–7.4728 |
| Comorbidity | Present (vs. absent) | 0.2618 | 0.3771 | 0.4875 | 1.2993 | 0.6205–2.7208 |
| Addiction | Present (vs. absent) | 1.2408 | 0.4676 | 0.0080 | 3.4585 | 1.3831–8.6481 |
< 0.05 (statistical significance).