| Literature DB >> 34255355 |
Bircan Kayaaslan1, Fatma Eser1, Ayse K Kalem1, Gamze Kaya2, Betul Kaplan2, Duygu Kacar2, Imran Hasanoglu1, Belgin Coskun2, Rahmet Guner1.
Abstract
Post recovery manifestations have become another concern in patients who have recovered from coronavirus disease 2019 (COVID-19). Numerous reports have shown that COVID-19 has a variety of long-term effects on almost all systems including respiratory, cardiovascular, gastrointestinal, neurological, psychiatric, and dermatological systems. We aimed to investigate the prevalence and characteristics of the post-COVID syndrome among COVID-19 survivors and to determine the factors associated with persistent symptoms. This prospective study enrolled in patients with COVID-19 followed in hospital or outpatient clinics in Ankara City Hospital. We performed a special questionnaire to inquire about the presence of persistent symptoms beyond 12 weeks from the first diagnosis. Demographic data, comorbid diseases, characteristics of acute COVID-19, presence of persistent symptoms by systems, and knowledge about outpatient clinic visits after recovery were assessed. Of a total of 1007 participants, 39.0% had at least one comorbidity, and 47.5% had persistent symptoms. Fatigue/easy fatigability, myalgia, and loss of weight were the most frequent persistent symptoms (overall 29.3%) followed by respiratory symptoms (25.4%). A total of 235 participants had visited outpatient clinics due to several reasons during the post-COVID-19 period, and 17 of them were hospitalized. Severe acute COVID-19, hospitalization, and presence of comorbidity were independent factors for the development of persistent symptoms. Fully understanding the spectrum of the post-COVID syndrome is essential for appropriate management of all its long-term effects. Our study once again underlined the fact that the prevalence of post-COVID syndrome is higher than expected and concerns many systems, and a multidisciplinary follow-up should be provided to COVID-19 survivors in the post recovery period.Entities:
Keywords: COVID-19; long-COVID; persistent symptoms; post-COVID; prevalence; questionnaire
Mesh:
Year: 2021 PMID: 34255355 PMCID: PMC8426910 DOI: 10.1002/jmv.27198
Source DB: PubMed Journal: J Med Virol ISSN: 0146-6615 Impact factor: 20.693
Demographical and clinical characteristics of participants (n = 1007)
| Characteristics of respondents | Value |
|---|---|
| Age, years, | |
| 18–34 | 333 (33.1) |
| 35–49 | 272 (27.0) |
| ≥ 50 | 402 (39.9) |
| Gender, male sex, | 548 (54.4) |
| Body mass index, mean ± | 27.3 ± 4.7 (16.0–48.0) |
| Body mass index, (for | |
| ≤ 25 | 319 (31.7) |
| ≥ 26 | 579 (57.9) |
| Comorbid disease, at least one, | 390 (39.0) |
| Hypertension, | 204 (20.3) |
| Diabetes, | 155 (15.4) |
| Coronary artery disease, | 70 (7.0) |
| Thyroid disease, | 21 (2.1) |
| Rheumatologic disease, | 19 (1.9) |
| Kidney failure, | 10 (1.0) |
| Chronic obstructive pulmonary disease, | 50 (5.0) |
| Malignity, | 8 (0.8) |
| Others, | 65 (6.5) |
| Number of comorbidities, | |
| 1 | 232 (23.0) |
| 2 | 104 (10.3) |
| ≥3 | 54 (5.4) |
| Number of patients who employee, | 690 (68.5) |
| Acute COVID‐19 characteristics, | |
| Disease severity, | |
| Mild to moderate | 723 (71.8) |
| Severe disease | 212 (21.1) |
| Critical illness | 72 (7.1) |
| Follow‐up of the patient, | |
| In outpatient | 591 (58.7) |
| In hospital | 416 (41.3) |
| Respiratory supports in hospitalized patients (for | |
| Oxygen support | 249 (59.6) |
| Need for intensive care unit | 58 (13.9) |
| Need for mechanical ventilation | 3 (0.7) |
| CPAP/HFO | 31 (7.5) |
| Discharge with long‐term oxygen therapy (LTOT) | 12 (2.9) |
| Length of hospital stay (days), median (IQR) | 6 (4–9) |
Abbreviations: COVID‐19, coronavirus disease 2019; CPAP, continuous positive airway pressure; HFO, high flow oxygen; IQR, Interquartile range; SD, standard deviation.
Post recovery persistent symptoms after a median 20 weeks since the first diagnosis (N = 1007)
| Characteristics | Value | Scale (0–10) |
|---|---|---|
| Persistent symptoms, | ||
| Present | 478 (47.5) | |
| Absent | 529 (52.5) | |
| Weeks since symptom onset, median (IQR) | 20 (19–22) | |
| Persistent symptoms, median number (IQR) ( | 3 (2–5) | |
| 1 or 2 symptoms | 233 (48.7) | |
| ≥3 symptoms | 245 (51.3) | |
| Persistent symptoms by systems, | ||
| General, | 295 (29.3) | |
| Fatigue or easy fatigability | 24 (24.3) | 4 (3–5) |
| Myalgia | 133 (13.1) | 4 (3–5) |
| Loss of weight | 33 (3.3) | 3 (3–5) |
| Respiratory symptoms, | 254 (25.4) | |
| Dyspnea | 207 (20.5) | 4 (3–6) |
| Chest pain | 58 (5.8) | 3 (2–4) |
| Cough | 45 (4.5) | 3 (2–4) |
| Wheezing | 41 (4.1) | 3 (2–4) |
| Cardiovascular, palpitation, | 65 (6.4) | 3 (3–4) |
| Neuropsychiatric disorders, | 244 (24.2) | |
| Concentration or memory deficit | 163 (16.2) | 4 (3–5) |
| Insomnia | 96 (9.6) | 4 (3–5) |
| Headache | 57 (5.7) | 4 (3–5) |
| Hypersomnia | 36 (3.6) | 4 (3–5) |
| Nightmare | 8 (0.8) | |
| Depression, before COVID‐19 | 89 (8.9) | |
| New‐onset depression after COVID‐19 | 11 (1.1) | 4 (3–5) |
| Anxiety, before COVID‐19 | 81 (8.1) | |
| New‐onset anxiety after COVID‐19 | 15 (1.5) | 5 (4–6) |
| Dermatological, | 175 (17.4) | |
| Hair loss | 165 (16.5) | 6 (5–8) |
| Rash | 10 (0.9) | 3 (2–4) |
| Otolaryngology, | 20 (2.0) | |
| Loss of smell | 31 (3.1) | 5 (4–6) |
| Loss of taste | 21 (2.1) | 4 (3–5) |
| Gastrointestinal, | 8 (0.8) | |
| Abdominal pain | 4 (0.4) | 3 (3–4) |
| Diarrhea | 1 (0.1) | 4 |
| Constipation | 3 (0.3) | 4 (3–5) |
| Genitourinary system, uncontrolled bladder, pollakiuria, | 8 (0.8) | 3 (3–4) |
Note: To evaluate the level of being affected by the symptoms, participants were asked to score each symptom from 0 (have no problem) to 10 (have extreme) based on a scale of COVID‐19 Yorkshire Rehabilitation Screening (C19‐YRS) Tool. Point 0 = participant is not affected by the symptom, point 10 = the participant is affected extremely by the symptoms. C19‐YRS tool has been developed by multidisciplinary‐rehabilitation teams to assess the patients in terms of their ongoing symptoms of COVID‐19 and to provide guidance for the required rehabilitations.
Abbreviations: COVID‐19, coronavirus disease 2019; IQR, interquartile range.
Figure 1Percentage of persistent symptoms on coronavirus disease 2019 survivors
The characteristics of the post‐COVID‐19 disease (n = 1007)
| Characteristic | Value |
|---|---|
| Number of patients who attend the outpatient clinics after recovery, | 237 (23.5) |
| Total number of outpatient clinic visits after recovery, number | 259 |
| Reasons for outpatient clinic visit, | |
| Respiratory symptoms | 101 (10.0) |
| Cardiovascular system | 39 (3.9) |
| Musculoskeletal system | 26 (2.6) |
| Dermatological symptoms | 10 (1.0) |
| Neurologic symptoms | 7 (0.7) |
| Pulmonary thromboembolic | 5 (0.5) |
| Psychiatric | 5 (0.5) |
| Need for medical assistance, | 90 (8.9) |
| Number of patients re‐hospitalized, | 17 (1.7) |
| Reasons for rehospitalization, | |
| Respiratory reasons | 6 (0.6) |
| Cardiovascular reasons | 6 (0.6) |
| Embolic event | 2 (0.2) |
| Neurologic reasons | 2 (0.2) |
| Physical rehabilitation | 1 (0.1) |
| Number of patients who had work‐day loss, | 690 (68.5) |
| 10–14 days | 516 (74.8) |
| 15–29 days | 99 (9.8) |
| ≥ 30 days | 75 (7.4) |
| Work‐day loss, median (IQR) | 10 (10–15) |
| Patients number experiencing loss of daily activity performance, | 321 (31.8) |
Abbreviations: COVID‐19, coronavirus disease 2019; IQR, interquartile range.
Figure 2Distribution of outpatient clinic visit after recovery
Univariate analysis and multivariate logistic regression analysis for development of persistent symptoms
| Persistent symptoms | ||||||
|---|---|---|---|---|---|---|
| Present | Absent |
| Odds ratio | 95% CI |
| |
| Age, median (min–max) | 50 (18–87) | 38 (18–88) | <0.001 | |||
| Gender, male sex, | 248 (51.9) | 300 (56.7) | 0.07 | |||
| BMI, mean ± | 28 (16–48) | 26 (18–48) | <0.001 | |||
| Hospitalization, | 300 (62.8) | 115 (21.7) | <0.001 | 4.695 | 3.226–6.832 | 0.000 |
| Comorbidity, | 247 (51.7) | 130(24.6) | <0.001 | 1.693 | 1.180–2.429 | 0.004 |
| Disease severity, severe/critical, | 61 (12.8) | 9 (1.7) | <0.001 | 3.069 | 1.466–6.428 | 0.003 |
Abbreviations: BMI, body mass index; CI, confidence interval; SD, standard deviation.
BMI was performed on 898 participants.