Научная статья на тему 'Post-COVID-19 fatigue: A cross-sectional study'

Post-COVID-19 fatigue: A cross-sectional study Текст научной статьи по специальности «Клиническая медицина»

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Ключевые слова
COVID-19 / post-infection fatigue / Epstein-Barr virus

Аннотация научной статьи по клинической медицине, автор научной работы — Arailym Abilbayeva, Anel Tarabayeva, Elmira Bitanova, Akbope Myrkassymova, Amangul Duisenova

Aim: To evaluate the prevalence of post-infection fatigue (PVFS) over one year after COVID-19. Material and methods: 165 people who had COVID-19 more than a year ago were interviewed. A Fatigue Assessment Scale was used to assess the degree of fatigue. Chemiluminescent analysis was carried out to detect antibodies to Epstein-Barr Virus (EBV) antigens. For statistical analysis Fisher's exact test and Spearman correlation were conducted. Results: Among people with PVFS, there were 4.1 times more women than men (80.4% vs. 19.6%), people over 45 years old (76%), and people who needed hospitalization for COVID-19 (76%). The average fatigue duration was 573±18,3 days. Among individuals without PVFS, there were significantly more individuals under the age of 45 compared with the group of individuals with PVFS (40% and 24%, respectively, p=0.007) and there were significantly more individuals who did not need hospitalization compared with the group of individuals with PVFS (52% vs. 24%, p=0.005). EBV reactivation was determined in almost half of the individuals with PVFS (48%), while none of the individuals without PVFS had EBV reactivation. A statistically significant negative mean correlation was found between the duration of PVFS and the severity of PVFS (r=0.357, p=0.007). A statistically significant negative correlation was found between the PVFS duration and the PVFS severity (r=-0.357, p=0.007). Conclusion: PVFS is a prevalent symptom after COVID-19. The duration of PVFS can reach and not be limited to 1.5 years. PVFS is more typical of women, people over 45 years of age and people who have had moderate and severe COVID-19. Over time, the severity of PVFS decreases.

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Текст научной работы на тему «Post-COVID-19 fatigue: A cross-sectional study»

jqy^A JOURNAL OF CLINICAL MEDICINE OF KAZAKHSTAN

Original Article

(E-ISSN 2313-1519)

Post-COVID-19 fatigue: A cross-sectional study

Arailym Abilbayeva1, Anel Tarabayeva1, Elmira Bitanova1, Akbope Myrkassymova2, Amangul Duisenova3, Moldir Sadykova3, Uldana Sakhadin3

'Department of General Immunology, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan

2Department of Biostatistics and Basics of Scientific Research, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan 3Department of Infectious and tropical diseases, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan

Abstract

Aim: To evaluate the prevalence of post-infection fatigue (PVFS) over one year after COVID-19.

Material and methods: 165 people who had COVID-19 more than a year ago were interviewed. A Fatigue Assessment Scale was used to assess the degree of fatigue. Chemiluminescent analysis was carried out to detect antibodies to Epstein-Barr Virus (EBV) antigens. For statistical analysis Fisher's exact test and Spearman correlation were conducted.

Results: Among people with PVFS, there were 4.1 times more women than men (80.4% vs. 19.6%), people over 45 years old (76%), and people who needed hospitalization for COVID-19 (76%). The average fatigue duration was 573±18,3 days. Among individuals without PVFS, there were significantly more individuals under the age of 45 compared with the group of individuals with PVFS (40% and 24%, respectively, p=0.007) and there were significantly more individuals who did not need hospitalization compared with the group of individuals with PVFS (52% vs. 24%, p=0.005). EBV reactivation was determined in almost half of the individuals with PVFS (48%), while none of the individuals without PVFS had EBV reactivation. A statistically significant negative mean correlation was found between the duration of PVFS and the severity of PVFS (r=-0.357, p=0.007). A statistically significant negative correlation was found between the PVFS duration and the PVFS severity (r=-0.357, p=0.007).

Conclusion: PVFS is a prevalent symptom after COVID-19. The duration of PVFS can reach and not be limited to 1.5 years. PVFS is more typical of women, people over 45 years of age and people who have had moderate and severe COVID-19. Over time, the severity of PVFS decreases.

Key words: COVID-19, post-infection fatigue, Epstein-Barr virus

Received: 2023-01-24. Accepted: 2023-04-26

© ®

This work is licensed under a Creative Commons Attribution 4.0 International License

J Clin Med Kaz 2023; 20(3):63-68

Corresponding author: Arailym Abilbayeva. E-mail: arailym2686@gmail.com; ORCID: 0000-0001-5081-5492

Introduction

The COVID-19 pandemic, which lasted almost two years and, according to WHO, affected more than 659 million people and claimed more than 6.6 million lives worldwide as of early January 2023 [1], left many unresolved issues, primarily associated with post-COVID sequels. A feature of long COVID is the presence of a wide range of symptoms of varying severity, including general symptoms such as fatigue, post-exercise malaise and fever, as well as groups of symptoms related to disorders in the functioning of various organs and systems [2-4].

There is currently no long-term evidence base to help determine how long the current effects seen after SARS-CoV-2 infection last. The term "post-covid

syndrome" has been agreed to mean that the acute phase of the disease has ended, but the patient has not yet recovered.

Today, a distinction is made between prolonged fatigue (PF), chronic fatigue (CF), idiopathic chronic fatigue (ICF), and systemic exertion intolerance disease (SEID) exercise intolerance syndrome, also referred to as chronic fatigue syndrome (SCF) or myalgic encephalomyelitis (ME), which is isolated as a separate nosology. At the same time, in the spectrum of post-COVID disorders, researchers report the predominance of chronic fatigue, the signs of which developed during or immediately after COVID-19 and can be regarded as post-viral fatigue (PVFS) [5-8]. Corresponding criteria are formulated for each type of fatigue [9, 10]. To

identify fatigue, researchers usually use various questionnaires to identify feelings of mental and/or physical fatigue, as well as the fatigue effect on the respondent's quality of life [7, 11-16].

To date, researchers have shown that one of the main symptoms of long COVID is fatigue, which can be present in a patient for 6 months or more after COVID-19 [13, 17, 18]. However, the issue of the duration of this post-COVID symptom and its characteristics in a longer period has not yet been sufficiently studied.

This study is devoted to the study of the prevalence of PVFS in the period of more than one year after COVID-19.

Material and methods

The study was conducted at the Asfendiyarov Kazakh National Medical University, Kazakhstan, Almaty in October 2022.

Ethical aspects

The study was approved by the Ethics Committee of the Asfendiyarov Kazakh National Medical University (Minutes No.1 (124) of 01/26/2022).

Informed consent was obtained from all study participants after a full explanation of the purpose and methods of the study, confirmation of the confidentiality of the data obtained, and notification that they can refrain from the study at any time without explanation.

Antibodies to Epstein-Barr virus (EBV) antigens were determined by immunochemiluminescence analysis using test kits for IgM to the capsid antigen (CA), IgG and IgA to the early antigen (EA) and core antigen (NA) EBV (Maglumi, China).

The simultaneous seropositivity of IgM for EA (IGM-EA) and IgG for NA (IgG-EBNA-1) was considered a marker of EBV reactivation [24].

Study design

Cross-sectional study of COVID-19 survivors over a year ago to assess long-term PVFS prevalence.

Study population

For the study, 200 individuals of both sexes with a history of PCR-confirmed COVID-19 more than one year ago were selected from the medical information system of the Ministry of Health of the Republic of Kazakhstan "Damumed", regardless of the disease severity and the fact of hospitalization during the infection acute period. A telephone call was made to these individuals, during which 165 people were interviewed. Of these, three groups were formed: individuals who indicated the post-COVID symptoms absence (n=87), individuals with PVFS (n=55) and individuals with post-COVID symptoms who did not indicate the fatigue presence (n=23). Nine individuals from the PVFS group refused to participate in the study. Thus, a study group was formed, consisting of 46 people who were examined using the Fatigue Assessment Scale (FAS) and laboratory methods. For the formation of the control group, 50 participants were randomly selected from fully recovered COVID-19 patients (Figure 1).

Statistical analysis

All statistical analyzes were performed using IBM SPSS Statistics v29.0 and statistical significance was considered p<0, 05. Descriptive statistics are presented as mean with error of mean and minimum/maximum value. We analyzed the intergroup differences between individuals with PVFS compared with those without it using Fisher's exact test. In the correlation analysis according to the data, the Spearman correlation coefficient was used.

Results

Comparative characteristics of individuals with PVFS (PVFS+) and those without it (PVFS -) are presented in Table 1.

When comparing the main characteristics in individuals with and without PVFS, a slight predominance of men in the group with no PVFS was revealed, compared with the group with PVFS (32% vs. 20%). At the same time, among individuals without PVFS, there were significantly more individuals under the age of 45 compared with the group of individuals with PVFS (40% and 24%, respectively, p=0.007). Also, significant differences were found between the compared groups in terms of the severity of COVID-19.

Inclusion Criteria

The study included people of both sexes aged 18-80 who had been ill with confirmed COVID-19 more than one year ago.

Exclusion Criteria

A history of chronic diseases: oncological, autoimmune and others, which may be manifested by fatigue and / or require treatment with cytostatics, immunosuppressive drugs, including genetically engineered biological products, as well as psychotropic drugs.

Fatigue assessment

The presence and level of fatigue was assessed using FAS. This scale was developed by Michielsen et al [19], is recommended for use and has been widely used to assess fatigue in various study cohorts since 2003 [7, 20-23]. FAS consist of 10 items. Each FAS item is scored on a five-point Likert-type scale ranging from 1 (never) to 5 (always). Items 4 and 10 are evaluated in reverse order. The score ranges from 10, indicating the lowest fatigue level, to 50, indicating the highest level of respondent fatigue.

Study group characteristic with PVFS (n=46)

№ Parameters Amount, n %

1 Sex Male 9 20

Female 37 80

2 Age (years) 26-44 11 24

45-59 22 48

60-74 9 20

75-80 > 4 8

3 BMI <18.5 1 2

>18.5 go < 25 22 48

>25 23 50

4 Required inpatient treatment No 11 24

for COVID-19 Yes 35 76

5. Fatigue degree* Mild 32 70

Moderate 9 20

Severe 5 10

6 Average duration of fatigue at the time of the survey M±m (max/min) 573±18,3 (856/370)

* The severity of PVFS was determined according to the questionnaire: Mild - 22-28 points Moderate - 29-34 points Severe - above 35 points

Table 1

Comparative characteristics of PVFS+ and PVFS - groups

Parameters PVFS+ N=46 PVFS -N=50 P

Sex Male 9 (20%) 16 (32%) 0,166

Female 37 (80%) 34 (68%)

Age (years)* 26-44 11 (24%) 20 (40%) 0,007

45-59 22 (48%) 12 (24%)

60-74 9 (20%) 18 (36%)

75-80 > 4 (8%) 0 (0%)

BMI** <18.5: 1 (2%) 2 (4%) 0,770

>18.5 до < 25 22 (48%) 26 (52%)

>25 23 (50%) 22 (44%)

Required inpatient No 11 (24%) 26 (52%) 0,005

treatment for COVID-19 Yes 35 (76%) 24 (48%)

EBV reactivation No 24 (52%) 50 (100%) <0,001

Yes 22 (48%) 0 (0%)

* Age criteria were determined in accordance with WHO criteria

* BMI criteria were determined in accordance with the WHO classification

Table 3

Group's characteristic with different degrees of PVFS

Parameters M±m Mild (22-28 points), n=32 (100%) Moderate (29-34 points), n=9 (100%) Severe (above 35 points), n=5 (100%)

Male (n=9) 28,11±1,79 5 (16%) 2 (22%) 2 (40%)

Female (n=37) 26,97±0,80 27 (84%) 7 (78%) 3 (60%)

26-44 (n=11) 27,36±1,76 8 (25%) 2 (22%) 1 (20%)

45-59 (n=22) 27±1 15 (47%) 5 (56%) 2 (40%)

60-74 (n=9) 27,44±1,60 7 (22%) 1 (11%) 1 (20%)

75-80 > (n=4) 27,25±3,01 2 (6%) 1 (11%) 1 (20%)

<18.5 (n=1) - 0 (0%) 1 (11%) 0 (0%)

>18.5 до < 25 (n=22) 26±1 18 (56%) 3 (33%) 1 (20%)

>25 (n=23) 28,04±1,03 14 (44%) 5 (56%) 4 (80%)

Needed COVID-19 inpatient treatment

No (n=36) 27,69±1,75 26 (81%) 7 (78%) 3 (60%)

Yes (n=10) 27±0,76 6 (19%) 2 (22%) 2 (40%)

Table 4

Correlation analysis results between PVFS duration, age, body mass index with PVFS severity

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Parameters Spearman's correlation coefficient P-value

Duration of PVFS after COVID-19 (days) -0,357 0,007

Age 0,069 0,325

BMI 0,135 0,186

Thus, in the group with no PVFS, there were significantly more individuals who did not need hospitalization compared with the group of persons with PVFS (52% vs. 24%, p=0.005).

EBV reactivation was determined in almost half of the individuals with PVFS (48%), while none of the individuals without PVFS had EBV reactivation.

The main characteristics of individuals with PVFS lasting more than 1 year after COVID-19 are presented in Table 2.

Among individuals with PVFS, there were 4.1 times more women than men (80.4% versus 19.6%). At the same time, PVFS was more common in people older than 45 years (76%). Half of those with PVFS were overweight. At the same time, 76% of individuals required hospitalization for COVID-19.

Figure 1 - Flow chart of study population

Figure 2 - Association between PVFS duration and PVFS severity

Figure 3 - Association between age and PVFS severity

Figure 4 - Association between BMI and PVFS severity

However, 70% of individuals noted a mild degree of PVFS, while severe PVFS was observed in only 5% of individuals. The average duration of fatigue was 573 days.

Severe PVFS prevailed in women compared to men (60% versus 40%, respectively). Severe PVFS was found in 80% of overweight individuals. At the same time, a mild degree of PVFS prevailed in those who did not need hospitalization (81%) (Table 3).

The results of the correlation analysis between the duration of PVFS, age and BMI with the PVFS severity are presented in Table 4.

A statistically significant negative correlation was found between the duration of PVFS and the severity of PVFS (r=-0,357, p=0,007). A positive, non-significant weak correlation was found between age, BMI and PVFS severity (r=0,069, p=0,325 and r=0,135, p=0,186, respectively) (Figures 2-4).

Discussion

One of the main issues in the COVID-19 post-pandemic stage is how long post-COVID manifestations are and what their mechanism is.

To date, studies on the post-COVID effects duration are limited to a period of just over 1 year [25-28]. In our study, we covered a later period of 1 to 2 years. At the same time, we focused only on the PVFS manifestations, since this symptom is one of the most common sequalae of COVID-19 [29, 30], but, at the same time, due to unexpressed symptoms, it often falls out of the sight of clinicians.

In our study, it was found that in almost half of the people who had COVID-19, after 1 year, various manifestations of post-COVID complications persist, while chronic fatigue is the predominant symptom (70.5%). These data significantly exceed data on the prevalence of both idiopathic chronic fatigue (ICF) and chronic fatigue syndrome (CFS) in the adult population [3133]. In a previously conducted pilot study of the prevalence of fatigue in the Kazakhstan population in 2018, we conducted a survey of 1000 respondents using FAS. According to this study results, pathological fatigue was found in 432 (43.2%) and no fatigue in 568 (56.8%) respondents. In the group of people with fatigue, 62.4% were women and 37.6% were men. Since we excluded individuals with comorbid conditions that may contribute to the development of chronic fatigue from the study, we can assume that this fatigue is a post-COVID consequence.

In our group ofPVFS individuals, there was a predominance of women, people over 45 years old, and people who needed COVID-19 inpatient treatment, that is, people with a more severe COVID-19. Moreover, severe PVFS was observed in women 1.5 times more often than in men. These data are consistent with the results of studies by other authors in the earlier post-COVID period [25, 34].

It is assumed that the prevalence of women in the group with chronic fatigue is associated with both psychological and physiological characteristics of women, such as a lower tendency to mask symptoms, as well as neurohormonal characteristics [35].

A comparative analysis of the indicators of PVFS individuals and those without PVFS also confirmed these data, showing significant differences in age and COVID-19 severity. Interestingly, some authors noted the presence of fatigue in the earlier post-COVID period, even with mild COVID-19 [36]. At the same time, the results of our study suggest that in mild cases of COVID-19, PVFS rarely lasts more than 1 year. Even if people who recovered easily from COVID-19 noted fatigue after 1 year, this fatigue is not expressed according to our data.

The propensity to reduce the PVFS severity over time is also confirmed by the data of the correlation analysis, which revealed a significant negative relationship between the duration of PVFS and the severity of PVFS. A similar association has also been found in earlier studies [37]. We also found a weak positive relationship between age and BMI and the severity of PVFS. We believe that the lack of significant differences in our study in these parameters is due to the small sample size, which is a limitation of our study. An additional limitation is the lack of data on other potential risk factors for fatigue in the post-COVID-19 period. At the same time, the median duration of PVFS in our cohort was 573 days, suggesting that PVFS may continue for at least 1.5 years after COVID-19.

In our study, 48% of PVFS individuals had EBV reactivation. Earlier studies have shown that EBV reactivation can occur both with COVID-19 and in the post-COVID period [25, 38-41]. Since our study is cross-sectional, we cannot

identify the timing of the onset of EBV reactivation and be sure that this reactivation is associated with COVID-19. However, the prevalence of EBV reactivation in our focus group with PVFS exceeds the prevalence of EBV in risk groups associated with EBV reactivation [42, 43]. In this regard, we believe that more in-depth studies are needed to study the causes of EBV reactivation in the long-term period after COVID-19.

Conclusion

PVFS is the predominant symptom one year after COVID-19 (70.5%), which exceeds its frequency in the pre-COVID period (43.2%). The duration of PVFS has not been determined and may continue beyond 1 year after the acute phase. The average duration of PVFS was 537 days. PVFS for a period longer than 1 year persists to a greater extent in women

and persons over 45 years of age. PVFS was detected in those who had COVID-19 in moderate and severe forms and received inpatient treatment. Over time, the intensity of PVFS decreases. At the same time, serological markers of EBV reactivation were detected in 48% of individuals with PVFS.

However, additional studies are needed to confirm the hypotheses put forward and to identify factors associated with the prolonged fatigue formation in the late post-COVID period.

Disclosures: There is no conflict of interest for all authors.

Acknowledgements: None.

Funding: None.

References

1. Weekly epidemiological update on COVID-19 - 11 January 2023. URL: https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19—11-january-2023 (date of the application: 16.01.2023).

2. Long COVID or Post-COVID Conditions. URL: https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/index.html (date of the application: 16.01.2023).

3. Higgins V., Sohaei D., Diamandis E.P. et al. COVID-19: from an acute to chronic disease? Potential long-term health consequences. Crit Rev Clin Lab Sci. 2021;58(5):1473-310. https://doi.org/10.1080/10408363.2020.1860895

4. Sudre C.H., Murray B., Varsavsky T. et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626-631. https://doi. org/10.1038/s41591-021-01292-y

5. Rudroff T., Fietsam A.C., Deters J.R., Bryant A.D., Kamholz J. Post-COVID-19 fatigue: potential contributing factors. Brain Sci.2020;10:1012. https://doi.org/10.3390/brainsci10121012

6. Graham E.L., Clark J.R., Orban Z.S., Lim P.H., Szymanski A.L., Taylor C. et al. Persistent neurologic symptoms and cognitive dysfunction in non-hospitalized Covid-19 "long haulers". Ann Clin TranslNeurol. 2021;8:1073-85. https://doi.org/10.1002/acn3.5135

7. Samir E.S., Shokry D., Gomaa S.H. Post-COVID-19 fatigue and anhedonia: a cross-sectional study and their correlation to post-recovery period. NeuropsychopharmacolRep. 2021;41:50-5. https://doi.org/10.1002/npr2.12154

8. Malik P., Patel K., Pinto C., Jaiswal R., Tirupathi R., Pillai S. et al. Post-acute COVID-19 syndrome (PCS) and healthrelated quality of life (HRQoL)-a systematic review and metaanalysis. J Med Virol. 2022;94:253-62. https://doi.org/10.1002/jmv.27309

9. Committee on the Diagnostic Criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome; Board on the Health of Select Populations; Institute of Medicine. Beyond Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Redefining an Illness. Washington (DC): National Academies Press (US). 2015. PMID: 25695122.

10. Son C.G. Differential diagnosis between "chronic fatigue" and "chronic fatigue syndrome". IntegrMedRes.2019;8(2):89-91. https:// doi.org/10.1016/j.imr.2019.04.005

11. Elanwar R., Hussein M., Magdy R., Eid R.A. et al. Physical and mental fatigue in subjects recovered from COVID-19 infection: a case-control study. Neuropsychiatr dis treat. 2021;17:2063-71. https://doi.org/10.2147/NDT.S317027

12. Ganesh R., Ghosh A.K., Nyman M.A., Croghan I.T. et al. PROMIS scales for assessment of persistent post-COVID symptoms: a cross sectional study. J Prim Care Community Health. 2021;12:21501327211030413. https://doi.org/10.1177/21501327211030413

13. Graham E.L., Clark J.R., Orban Z.S., Lim P.H. et al. Persistent neurologic symptoms and cognitive dysfunction in non-hospitalized Covid-19 "long haulers". Ann Clin Transl Neurol. 2021;8:1073-85. https://doi.org/10.1002/acn3.51350

14. Townsend L., Dyer A.H., McCluskey P., O'Brien P.K. et al. Investigating the relationship between vitamin D and persistent symptoms following SARS-CoV-2 infection. Nutrients. 2021;13:2430. https://doi.org/10.3390/nu13072430

15. Townsend L., Dyer A.H., Jones K., Dunne J., Mooney A., Gaffney F. et al. Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection. PLoS ONE. 2020;15:e0240784. https://doi.org/10.1371/journal.pone.0240784

16. Townsend L., Moloney D., Finucane C., McCarthy K., Bergin C., Bannan C. et al. Fatigue following COVID-19 infection is not associated with autonomic dysfunction. PLoS 0NE.2021;16:e0247280. https://doi.org/10.1371/journal.pone.0247280

17. Augustin M., Schommers P., Stecher M., Dewald .F, Gieselmann L., Gruell H. et al. Post-COVID syndrome in non-hospitalised patients with COVID19: a longitudinal prospective cohort study. Lancet Reg Health Eur. 2021; 6:100122. https://doi.org/10.1016/). lanepe.2021.100122

18. Lopez-Leon S., Wegman-Ostrosky T., Perelman C. et al. More than 50 long-term effects of COVID-19: a systematic review and metaanalysis. Sci Rep. 2021; 11:16144. https://doi.org/10.1038/s41598-021-95565-8

19. Michielsen H.J., De Vries J., Van Heck G.L. Psychometric qualities of a brief self-rated fatigue measure the fatigue assessment scale. J sychosom Res. 2003;54(4):345-52. https://doi.org/10.1016/s0022-3999(02)00392-6

20. De Vries J., Michielsen H.J., Van Heck G.L. Assessment of fatigue among working people: a comparison of six questionnaires. Occupational and Environmental Medicine. 2003;60:i10-i15. https://doi.org/10.1136/oem.60.suppl_1.i10

21. Drent M., Lower E.E., De Vries J. Sarcoidosis-associated fatigue. Eur Respir J. 2012; 40: 255-263. https://doi. org/10.1183/09031936.00002512

22. Hendriks C., Drent M., Elfferich M., De Vries J. The Fatigue Assessment Scale: quality and availability in sarcoidosis and other diseases. Current Opinion in Pulmonary Medicine. 2018;24(5):495-503. https://doi.org/10.1097/MCP.0000000000000496

23. Fatigue Assessment Scale (FAS). URL: https://novopsych.com.au/assessments/health/fatigue-assessment-scale-fas/. (date of the application: 16.01.2023).

24. Obel N., H0ier-Madsen M., Kangro H. Serological and clinical findings in patients with serological evidence of reactivated Epstein-Barr virus infection. APMIS. 1996;104(6):424-8. https://doi.org/10.1111/j.1699-0463.1996.tb00737.x

25. Han Q., Zheng B., Daines L., Sheikh A. Long-term sequelae of COVID-19: A systematic review and meta-analysis of one-year follow-up studies on post-COVID symptoms. Pathogens. 2022;11(2):269. https://doi.org/10.3390/pathogens11020269

26. Seeßle J., Waterboer T., Hippchen T., Simon J. et al. Persistent Symptoms in Adult Patients 1 Year After Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study. Clinical Infectious Diseases. 2022;74(7):1191-1198. https://doi.org/10.1093/cid/ciab611

27. Tran V., Porcher R., Pane I., Ravaud P. Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort. Nature Communications. 2022;13:1812. https://doi.org/10.1038/s41467-022-29513-z

28. Buonsenso D., Gualano M.R., Rossi M.F., Gris A.V. et al. Post-acute COVID-19 sequelae in a working population at one-year follow-up: A wide range of impacts from an Italian sample. Int. J. Environ. Res. Public Health. 2022;19(17):11093; https://doi.org/10.3390/ ijerph191711093

29. Ceban F., Ling S., Lui L.M.W., Lee Y., Gill H. et al. Fatigue and cognitive impairment in Post-COVID-19 Syndrome: A systematic review and meta-analysis. Brain, Behavior, and Immunity. 2022;101: 93-135. https://doi.org/10.1016Zj.bbi.2021.12.020

30. Sharma P., Bharti S., Garg I. Post COVID fatigue: Can we really ignore it? Indian Journal of Tuberculosis. 2022;69(2): 238-241. https://doi.org/10.1016/jijtb.2021.06.012

31. Son Chang-Gue Review of the Prevalence of Chronic Fatigue Worldwide. The Journal of Korean Medicine. 2012; 33(2):25-33.

32. Estevez-Löpez F., Mudie K., Wang-Steverding X., Bakken I.J. et al. Systematic Review of the Epidemiological Burden of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Across Europe: Current Evidence and EUROMENE Research Recommendations for Epidemiology. J. Clin. Med. 2020; 9(5):1557. https://doi.org/10.3390/jcm9051557

33. Son Chang-Gue Differential diagnosis between "chronic fatigue" and "chronic fatigue syndrome". Integr Med Res. 2019; 8(2): 89-91. https://doi.org/10.1016/jimr.2019.04.005

34. Joli J., Buck P., Zipfel S., Stengel A. Post-COVID-19 fatigue: A systematic review. Front Psychiatry. 2022;13: 947973. https://doi. org/10.3389/fpsyt.2022.947973

35. Janiri D., Tosato M., Simonetti A., Montanari S. et al. Post-COVID-19 Psychiatric Symptoms in the Elderly: The Role of Gender and Resilience. J. Pers. Med. 2022;12(12):2016; https://doi.org/10.3390/jpm12122016

36. Townsend L., Dyer A.H., Jones K., Dunne J. et al. Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection. PLoS One. 2020; 15(11): e0240784. https://doi.org/10.1371/journal.pone.0240784

37. Hartung T.J., Neumann C., Bahmer T., Chaplinskaya-Sobol I., Endres M. et al. Fatigue and cognitive impairment after COVID-19: A prospective multicentre study. eClinical Medicine Part of the Lancet Discovery science. 2022; 53:101651. https://doi.org/10.1016/j. eclinm.2022.101651

38. Naendrup J.H., Borrega J.G., Böll B. et al. Reactivation of EBV and CMV in Severe COVID-19—Epiphenomena or Trigger of Hyperinflammation in Need of Treatment? A Large Case Series of Critically ill Patients. Journal of Intensive Care Medicine.2021; 37(9). https://doi.org/10.1177/08850666211053990

39. Paolucci S., Cassaniti I., Novazzi F., Fiorina L. et al. EBV DNA increase in COVID-19 patients with impaired lymphocyte subpopulation count. IJID. 2021;104:315-319. https://doi.org/10.1016/j.ijid.2020.12.051

40. Simonnet A., Engelmann I., Moreau A.-S., Garcia B. High incidence of Epstein-Barr virus, cytomegalovirus, and human-herpes virus-6 reactivations in critically ill patients with COVID-19. Infectious Diseases Now. 2021; 51(3):296-299. https://doi.org/10.1016/j. idnow.2021.01.005

41. Rohrhofer J., Graninger M., Lettenmaier L., Schweighardt J. et al. Association between Epstein-Barr-Virus reactivation and development of Long-COVID fatigue. Allergy. 2022: 10.1111/all.15471. https://doi.org/10.1111/all.15471

42. Haeri S., Baker A.M., Boggess K.A. Prevalence of Epstein-Barr Virus Reactivation in Pregnancy. Am JPerinatol. 2010; 27(9): 715720. https://doi.org/10.1055/s-0030-1253098

43. Peric Z., Cahu X., Chevallier P., Brissot E., Malard F. et al. Features of Epstein-Barr Virus (EBV) reactivation after reduced intensity conditioning allogeneic hematopoietic stem cell transplantation. Leukemia. 2011;25:932-938. https://doi.org/10.1038/leu.2011.26

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