| Literature DB >> 35619736 |
Marwa Khalaf1, Mohamed Alboraie2, Muhammad Abdel-Gawad3, Mohamed Abdelmalek4, Ahmed Abu-Elfatth4, Walaa Abdelhamed5, Mariam Zaghloul6, Rabab ElDeeb7, Doaa Abdeltwab4, Mohamed Abdelghani4, Fathiya El-Raey8, Hani Aboalam1, Azza Badry9, Mina Tharwat10, Shima Afify11, Doaa Elwazzan7, Ahmed Shawkat Abdelmohsen4, Hayam Fathy12, Shaker Wagih Shaltout13, Helal F Hetta14, Shamardan E Bazeed15.
Abstract
Background and Aim: Little is known about the persistence of symptoms after clearance of SARS-CoV-2 infection. Our study aimed to assess persistent symptoms in COVID-19 patients after clearance of SARS-CoV-2 infection. Methodology: A multi-center survey was conducted on first wave COVID-19 patients with confirmed SARS-CoV-2 infection. Sociodemographic and clinical characteristics, including presenting symptoms and persistent symptoms after viral clearance and possible factors contributing to persistence of such symptoms, were collected using an online multicomponent questionnaire. Descriptive and inferential statistical analysis was performed to detect the most persisting symptoms and factors contributing to their persistence.Entities:
Keywords: COVID-19; SARS-CoV-2; coronavirus; dyspnea; fatigue
Year: 2022 PMID: 35619736 PMCID: PMC9128749 DOI: 10.2147/IDR.S355064
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.177
Figure 1Study flow chart.
Demographic and Clinical Characters of Studied Patients
| N = 538 | |
|---|---|
| Age | 41.17 (±SD 14.84) |
| Range | 5–87 |
| Sex | |
| Male | 291 (54.1%) |
| Female | 247 (45.1%) |
| Smoking | 100 (18.6%) |
| Diabetes | 92 (17.1%) |
| Hypertension | 105 (19.5%) |
| On ARBS | 28 (5.2%) |
| On ACEI | 41 (7.6%) |
| COPD | 29 (5.4%) |
| Chronic kidney disease | 7 (1.1%) |
| Ischemic heart disease | 27 (4.5%) |
| Immunosuppresive | 2 (0.4%). |
Severity and Hospital Stay Characterization of Studied Patients
| N = 538 | |
|---|---|
| Severity | |
| Mild | 330 (61.3%) |
| Moderate | 167 (31%) |
| Severe | 41 (7.6%) |
| Hospital admission | 276 (51.3%) |
| Hospital stay | 13.58 ± 6.40 |
| Range | 4–37 |
| ICU admission | 35 (6.5%) |
| ICU stay | 9.66 ± 5.85 |
| Range | 2–30 |
Figure 2Frequencies of medication used in treatment of the studied patients.
Figure 3Post Covid-19 acute and persistent symptoms.
Symptoms Persisting After Clearance of SARS-CoV-2 Infection
| System | Symptoms | Frequency (%) | Persistence | Duration | |
|---|---|---|---|---|---|
| Mean±SD) | Median (Range) | ||||
| 351 (65.24%) | 318 (59.1%) | 36.70±28.06 | 31 (1–154) | ||
| 258 (48%) | 250 (46.5%) | 20.68± 30.66 | 3 (1–123) | ||
| 38 (7.1%) | 30 (5.6%) | 19.29±22.19 | 11 (2–87) | ||
| 27 (5%) | 23 (4.3%) | 33.26±36.41 | 20 (5–146) | ||
| 12 (2.3%) | 10 (1.9%) | 13.50±3.53 | 13 (11–16) | ||
| 15 (2.8%) | 8 (1.5%) | 46.17±59.05 | 18 (5–154) | ||
| 5 (0.9%) | 5 (0.9%) | 58±42.22 | 70 (1–91) | ||
| 280 (52%) | 112 (20.8%) | 30.83±31.99 | 20 (1–154) | ||
| 250 (46.5%) | 113 (21%) | 15.62±20.05 | 7 (1–91) | ||
| 70 (13%) | 35 (6.5%) | 28.09±32.39) | 13 (1–145) | ||
| 149 (27.7%) | 37 (6.9%) | 16.38±17.78 | 12.50 (1–79) | ||
| 51 (9.5%) | 48 (8.9%) | 30.97±29.33 | 23 (2–145) | ||
| 143 (26.5%) | 131 (24.3%) | 29.51±24.95 | 26 (1–97) | ||
| 95 (17.7%) | 85 (15.8%) | 22.65±26.16 | 12 (1–145) | ||
| 135 (25%) | 131 (24.3%) | 20.42±23.67 | 11 (1–100) | ||
| 106 (18.7%) | 97 (18%) | 41.11±24.26 | 43 (1–104) | ||
| 12 (2.3%) | 10 (1.9%) | 13.38±4.59 | 12 (9–23) | ||
| 146 (27.2%) | 123 (22.9%) | 28.96±26.96 | 23 (1–119) | ||
| 139 (25.8%) | 117 (21.7%) | 18.17±17.68 | 14 (1–86) | ||
| 123 (22.9%) | 115 (21.4%) | 26.96±31.06 | 18 (1–154) | ||
| 116 (21.5%) | 111 (20.6%) | 36.68±29.79 | 30 (2–107) | ||
| 69 (12.8%) | 68 (12.6%) | 28.17±26.10 | 17.5 (1–100) | ||
| 25 (4.6%) | 19 (3.5%) | 56.27±42.58 | 77 (1–126) | ||
| 14 (2.6%) | 12 (2.2%) | 83.88±37.75 | 82 (23–147) | ||
| 76 (14.1%) | 70 (13%) | 32.53±31.52 | 25 (1–145) | ||
| 93 (17.3%) | 87 (16.2%) | 32.21±31.20 | 17 (1–123) | ||
| 17 (3.2%) | 14 (2.6%) | 42.27±42.32 | 28 (10–145) | ||
| 12 (2.3%) | 9 (1.7%) | 37.33±34.69 | 30.5 (5–100) | ||
| 60 (11.3%) | 50 (9.3%) | 34.75±41.64 | 17 (2–159) | ||
Factors Associated with Persistent Symptoms Persistence
| Persistence: One or More Symptoms | P value | ||
|---|---|---|---|
| No (n = 83) | Yes (n = 455) | ||
| 41.33 ± 14.13 | 41.15 ± 14.97 | 0.92 | |
| 0.06 | |||
| 52 (62.7%) | 239 (52.5%) | ||
| 31 (37.3%) | 216 (47.5%) | ||
| 21 (25.3%) | 79 (17.4%) | 0.06 | |
| 12 (14.5%) | 80 (17.6%) | 0.30 | |
| 15 (18.1%) | 90 (19.8%) | 0.42 | |
| 3 (3.6%) | 38 (8.4%) | 0.09 | |
| 3 (3.6%) | 25 (5.5%) | 0.34 | |
| 6 (7.2%) | 23 (5.1%) | 0.28 | |
| 1 (1.2%) | 6 (1.3%) | 0.70 | |
| 3 (3.6%) | 24 (5.3%) | 0.37 | |
| 0 | 2 (0.4%) | 0.71 | |
| 27 (32.5%) | 249 (54.7%) | < 0.001 | |
| 4 (4.8%) | 31 (6.8%) | 0.34 | |
| 11.50 ± 3.88 | 13.74 ± 6.53 | 0.15 | |
| 10.33 ± 3.05 | 9.60 ± 6.16 | 0.84 | |
| 64 (77.1%) | 266 (58.5%) | < 0.001 | |
| 12 (14.5%) | 155 (34.1%) | ||
| 7 (8.4%) | 34 (7.5%) | ||
| 36 (43.4%) | 312 (68.6%) | 0.000 | |
| 18 (21.7%) | 214 (47%) | < 0.001 | |
| 24 (28.9%) | 235 (51.6%) | < 0.001 | |
| 1 (1.2%) | 6 (1.3%) | 0.70 | |
| 6 (7.2%) | 99 (21.8%) | < 0.001 | |
| 2 (2.4%) | 2 (0.4%) | 0.11 | |
| 0 | 16 (3.5%) | 0.06 | |
| 0 | 5 (1.1%) | 0.43 | |
| 1 (1.2%) | 32 (7%) | 0.02 | |
| 1 (1.2%) | 2 (0.40%) | 0.39 | |
| 5 (6%) | 11 (2.4%) | 0.08 | |
| 1 (1.2%) | 40 (8.8%) | < 0.001 | |
Note: Data expressed as frequency (percentage), mean (SD). P value was significant at < 0.05.
Multivariate Analysis for Predictors of Post-Covid-19 Persisting Symptoms
| Odd’s Ratio | 95% Confidence Interval | P value | |
|---|---|---|---|
| 1.68 | 0.93–3.06 | 0.08 | |
| 0.89 | 0.41–1.90 | 0.76 | |
| 8.03 | 2.45–26.32 | < 0.001 | |
| 1.96 | 0.93–3.06 | 0.07 | |
| 1.52 | 0.76–3.03 | 0.23 | |
| 2.21 | 0.82–5.97 | 0.11 | |
| 8.89 | 1.16–67.81 | 0.03 | |
| 10.12 | 1.34–76.38 | 0.02 |