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Non-hospitalised COVID-19 patients have more frequent long COVID-19 symptoms

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BACKGROUND: Long COVID-19 syndrome refers to the persistence of symptoms for more than 12 weeks after the start of acute symptoms. The pathophysiology of this syndrome is not yet clear. OBJECTIVE : To assess long COVID-19 symptoms in hospitalised and non-hospitalised patients. METHODS : A cross-sectional survey was used. The study included 262 patients who were divided into two groups based on their hospital admission history: 167 (63.7%) were not hospitalised, while 95 (36.3%) were hospitalised. RESULT S : Long-COVID was reported in 157 out of 262 patients (59.9%), and was significantly more frequent in non-hospitalised patients (68.3% vs. 45.3%; P , 0.001). During the acute phase, hospitalised patients had more respiratory symptoms (95.9% vs. 85.6%), while non-hospitalised patients had more neuropsychiatric symptoms (84.4% vs. 69.5%; P , 0.05). Constitutional and neuropsychiatric symptoms were the most frequently reported persistent symptoms in both groups, but all persistent symptoms were more frequent in the non-hospitalised group (P , 0.005). CONCLUS ION: Long COVID-19 symptoms affect both hospitalised and non-hospitalised patients. Neuropsychiatric manifestations were the most common persistent COVID-19 symptoms. Rehabilitation and psychotherapy could be advised for all recovered COVID-19 patients. Non-hospitalised COVID-19 patients should be counselled to contact healthcare providers whenever needed. © 2021 International Union against Tubercul. and Lung Dis.. All rights reserved.
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INT J TUBERC LUNG DIS 25(9):000–000
Q
2021 The Union
http://dx.doi.org/10.5588/ijtld.21.0135
Non-hospitalised COVID-19 patients have more frequent long
COVID-19 symptoms
A. A. R. Mohamed-Hussein,
1
M. T. Amin,
2
H. A. Makhlouf,
1
N. A. Makhlouf,
3
I. Galal,
4
H. K. Abd-Elaal,
5
D. Abdeltawab,
3
K. M. S. Kholief,
2
M. K. Hashem
1
1
Chest Department,
2
Department of Public Health and Community Medicine, and
3
Department of Tropical
Medicine and Gastroenterology, Faculty of Medicine, Assiut University, Assiut,
4
Chest Department, Aswan Faculty
of Medicine, Aswan,
5
Faculty of Nursing, Assiut University, Egypt
SUMMARY
BACKGROUND: Long COVID-19 syndrome refers to
the persistence of symptoms for more than 12 weeks
after the start of acute symptoms. The pathophysiology
of this syndrome is not yet clear.
OBJECTIVE: To assess long COVID-19 symptoms in
hospitalised and non-hospitalised patients.
METHODS: A cross-sectional survey was used. The study
included 262 patients who were divided into two groups
based on their hospital admission history: 167 (63.7%)
were not hospitalised, while 95 (36.3%) were hospitalised.
RESULTS: Long-COVID was reported in 157 out of 262
patients (59.9%), and was significantly more frequent in
non-hospitalised patients (68.3% vs. 45.3%; P
,
0.001). During the acute phase, hospitalised patients
had more respiratory symptoms (95.9% vs. 85.6%),
while non-hospitalised patients had more neuropsychi-
atric symptoms (84.4% vs. 69.5%; P
,
0.05). Consti-
tutional and neuropsychiatric symptoms were the most
frequently reported persistent symptoms in both groups,
but all persistent symptoms were more frequent in the
non-hospitalised group (P
,
0.005).
CONCLUSION: Long COVID-19 symptoms affect both
hospitalised and non-hospitalised patients. Neuropsychi-
atric manifestations were the most common persistent
COVID-19 symptoms. Rehabilitation and psychotherapy
could be advised for all recovered COVID-19 patients.
Non-hospitalised COVID-19 patients should be coun-
selled to contact healthcare providers whenever needed.
KEY WORDS: long COVID-19; post-COVID-19; hos-
pitalised; non-hospitalised
In December 2019, the coronavirus disease 2019
(COVID-19) was first discovered in Wuhan, China.
1
Since then, COVID-19 has taken on new forms, and
as more patients recover from acute COVID-19
infection, more evidence and awareness about chron-
ic sequelae and post-COVID-19 symptoms have
emerged.
Long COVID-19 syndrome describes the persis-
tence of symptoms for more than 12 weeks in some
individuals after the start of acute symptoms.
2
Fatigue, muscle ache, sleeplessness, anxiety and
depression were reported in patients after 6 months
of acute infection.
3
Persistent COVID-19 symptoms
have been reported in 40–80% of patients after the
convalescent stage.
4–6
The pathophysiology of long COVID development
is not yet clear. Many theories were discussed,
including prolonged inflammatory response, organ
damage, the effect of chronic health conditions, social
isolation or post-traumatic effects of the hospital or
intensive care admission.
7
Serious medical conditions
necessitate management in the intensive care unit
(ICU), and may lead to long-term consequences such
as physical, mental, psychological and respiratory
abnormalities.
8,9
These complaints are stated as post-
intensive care syndrome (PICS), which can even have
a persistent effect on patient life quality.
10
Moreover,
many patients with mild COVID-19 who were
isolated at home without conventional testing or
treatment due to the limited resources,
11
showed
recurrent symptoms many months after the acute
infection.
12
This work aims to assess long COVID-19 symp-
toms in hospitalised and non-hospitalised patients
after 12 weeks of infection.
PATIENTS AND METHODS
The current cross-sectional survey was performed
from 1 July to 9 October 2020. Patients were
included in the study if they had COVID-19
confirmed in the registry (positive or indeterminate
COVID-19 polymerase chain reaction [PCR] test) or
if clinical, laboratory and radiological criteria sug-
Correspondence to: Maiada K Hashem, Chest Department, Faculty of Medicine, Assiut University, Assiut 71515, Egypt.
email: maiada.hashem@aun.edu.eg; Maiada.hashem@gmail.com
Article submitted 3 March 2021. Final version accepted 13 May 2021.
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gested that they had COVID-19. They were inter-
viewed in the follow-up clinics or by phone and were
asked to fill out paper or online forms. Medical
students, residents and volunteers evaluated the
patient’s symptoms and revised the submitted forms
for missing data.
The study was approved by the ethical committee
of Aswan Faculty of Medicine, Aswan, Egypt
(Clinicaltrial.gov: NCT04479293).
The sample size was calculated using Epi Infoe
Statistical Package v7 (Centers for Disease Control and
Prevention, Atlanta, GA, USA). Based on previous
studies and literature review, the expected frequency of
persistent symptoms was 60% with a 6% margin of
error, and at 95% confidence interval (CI), the
minimum required sample size was 257 patients.
4,13
The following data were collected: 1) patient
demographics, including age, sex, body mass index
(BMI), smoking status, history of comorbid disor-
ders, history of seasonal influenza vaccination, the
mean duration since the onset of the symptoms,
history of the need for oxygen therapy, hospital or
ICU admission, and treatment taken during the acute
attack; 2) symptoms during the acute attack of
COVID-19; and 3) symptoms after the recovery from
the acute attack of COVID-19 and its duration.
Symptoms reported by participants were categorised
as constitutional (fever, myalgia, arthralgia, restriction
of daily activity, tachycardia, headache, dizziness and
excessive sweating), respiratory (cough, sputum,
dyspnoea, chest pain, sore throat and rhinorrhoea),
gastrointestinal (GIT) (gastritis, anorexia, diarrhoea,
abdominal pain and dysphagia) and neuropsychiatric
(sleeping problems, tinnitus, anosmia and/or ageusia,
memory loss, loss of concentration, anxiety and/or
depression and peripheral neuropathy). A patient who
experienced at least one of the previously mentioned
symptoms for 12 weeks was considered to have long
post COVID-19 symptoms.
Statistical analysis
Statistical analyses were performed using IBM SPSS
Statistics v20 (IBM Corp, Armonk, NY, USA).
Categorical data were presented as numbers and
percentages and compared using v
2
test. In contrast,
continuous data were reported as means 6standard
deviation (SD) and/or median (min-max) and tested
for normality using the Shapiro–Wilkes test. The t-
test was used when the quantitative data were
normally distributed, and the Mann–Whitney test
was used when the data were not normally distrib-
uted. In all statistical tests, P,0.05 was considered
statistically significant.
RESULTS
The survey included 732 patients, 262 (35.8%) of
whom experienced the acute phase of COVID-19
infection at least 12 weeks before data collection
(Figure 1). The 262 patients included were then
divided according to the history of hospital admission
into two groups: 167 (63.7%) were not hospitalised,
while 95 (36.3%) were hospitalised. Both groups
were comparable regarding sex, BMI and smoking
history, while hospitalised patients had significantly
higher age, more comorbid conditions and increased
need for oxygen therapy (Table 1).
Long-COVID-19 symptoms were reported by 157/
262 patients (59.9%), and it was substantially more
common in non-hospitalised patients than in hospi-
talised group (68.3% vs. 45.3%; P,0.001) (Figure
2). Table 2 shows the treatment provided to both
groups. Hospitalised patients received 4.3 61.0 types
of medications vs. 2.9 61.4 in non-hospitalised
group (P,0.001).
As regard symptoms during the acute phase, the
respiratory symptoms were more frequent in the
hospitalised group than in the non-hospitalised group
(95.9% vs. 85.6%; P,0.05), while non-hospitalised
patients had more neuropsychiatric symptoms
(84.4% vs. 69.5%; P,0.05). Constitutional and
GIT symptoms were comparable in both groups. The
median number of symptoms in the non-hospitalised
group was 16 vs. 11 in the hospitalised groups (P¼
0.02; Table 3).
Analysis of long-COVID symptoms revealed that
constitutional and neuropsychiatric symptoms were
the most frequently reported persistent symptoms in
both groups, but generally, all symptoms were more
common in the non-hospitalised group (P¼0.005;
Table 4).
DISCUSSION
Long COVID-19 symptoms are now an increasing
concern for both physicians and patients. Many
recent publications have tried to define and describe
post/long COVID-19 syndrome.
2,3,7
In the current
study, surveillance data for long COVID-19 symp-
toms in hospitalised and non-hospitalised COVID-19
patients after 12 weeks of acute infection were
analysed. It was surprising to note that the incidence
of prolonged symptoms was significantly higher in
the non-hospitalised group (68.3% vs. 45.3%, P,
0.001). Non-hospitalised patients had more persis-
tent symptoms and a higher total number of
symptoms.
Consistent with previous literature,
4,14,15
the most
common long COVID-19 symptoms were persistent
constitutional symptoms, reported in 44.2% of
hospitalised patients and 64.1% of non-hospitalised
patients, and neuropsychiatric symptoms. Neuropsy-
chiatric symptoms included sleeping problems, tinni-
tus, anosmia and/or ageusia, memory loss, loss of
concentration, anxiety and/or depression and periph-
eral neuropathy, which were reported in 45.3% of
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2The International Journal of Tuberculosis and Lung Disease
hospitalised patients and 65.9% of non-hospitalised
patients after 12 weeks of infection.
Numerous neurotropic respiratory viruses, such as
influenza viruses, herpes simplex one virus and
coronaviruses, have been linked to chronic neuropsy-
chiatric conditions, including emerging cognitive
dysfunction and dementia, motor disorders and
psychotic illness.
16
On the other hand, new-onset
cognitive impairment was found in up to 25.4% of
post-COVID-19 patients.
17
COVID-19-induced cog-
nitive impairment may result from direct viral
pathogenicity, as COVID-19 attacks angiotensin-
converting enzyme receptors in the central nervous
system, and respiratory and gastrointestinal systems,
leading to cell invasion, viral replication and dysreg-
ulated inflammatory response.
18,19
Figure 1 Flow chart of all COVID-19 patients included in the study. *Fever, myalgia, arthralgia,
restriction of daily activity, tachycardia, headache, dizziness and excessive sweating.
Cough,
sputum, dyspnoea, chest pain, sore throat and rhinorrhoea.
Gastritis, anorexia, diarrhoea,
abdominal pain and dysphagia.
§
Sleeping problems, tinnitus, anosmia and/or ageusia, memory
loss, loss of concentration, anxiety and/or depression and peripheral neuropathy. GIT ¼
gastrointestinal.
Table 1 Demographic and basic characteristics of non-
hospitalised vs. hospitalised COVID-19 participants (n¼262)
Non-hospitalised
(n¼167)
n(%)
Hospitalised
(n¼95)
n(%) P-value*
Age, years
40 11 (66.5 ) 40 (42.1) ,0.001
.40 56 (33.5 ) 55 (57.9)
Mean 6SD 38.7 613.1 47.1 615.8 ,0.001
Median (min–max) 36 (21–80) 44 (21–80)
Sex 0.772
Male 69 (41.3 ) 41 (43.2)
Female 98 (58.7 ) 54 (56.8)
Body mass index
Underweight 12 (7.3 ) 9 (9.5) 0.595
Normal 40 (24.2 ) 18 (18.9)
Overweight 51 (30.9 ) 35 (36.8)
Obese 62 (37.6 ) 33 (34.7)
Mean 6SD 27.2 67.8 26.4 610.4 0.522
Median (min–max) 28 (10–47) 27.8 (11–61)
Smoking 0.303
Non-smoker 140 (83.8 ) 74 (77.9)
Current smoker 8 (4.8 ) 9 (9.5)
Ex-smoker 19 (11.4 ) 12 (12.6)
Previous influenza vaccine 0.829
Yes 23 (13.8 ) 14 (14.7)
No 144 (86.2 ) 81 (85.3)
Need of oxygen therapy ,0.001
Yes 14 (8.4 ) 60 (63.2)
No 153 (91.6 ) 35 (36.8)
Chronic illness ,0.001
Yes 35 (21.0 ) 47 (49.5)
No 132 (79.0 ) 48 (50.5)
* Student’s t-test, Mann-Whitney and v
2
tests.
Statistically significant.
SD ¼standard deviation.
Figure 2 Long COVID-19 symptoms among non-hospitalised
vs. hospitalised COVID-19 participants (n¼262).
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Non-hospitalised patients and long COVID-19 3
Insomnia, hypersomnia, nightmares and misuse of
sleep medications are various patterns of sleep
disorders described by post-COVID-19 patients.
COVID-somnia is a term for sleep disorders that
occur during the pandemic.
20
The depression and
anxiety caused by the pandemic or the changes in
sleep schedule, bedtime and excess use of electronic
devices contribute to the sleep disturbance.
21
The
systemic inflammation caused by the infection
directly affects sleep pathophysiology.
Post-COVID fatigue was described as decondition-
ing in mental and physical performance, resulting
from central, psychological and/or peripheral chang-
es due to COVID-19 infection.
22
More than half of
recovered patients reported persistent fatigue 10
weeks after initial symptoms regardless of the severity
of COVID-19 acute infection.
23
In contrast with Halpin et al.’s findings, our study
results indicate that respiratory symptoms (i.e., dry or
productive cough, dyspnoea and chest pain) were the
least prevalent in hospitalised and non-hospitalised
patients.
4
Many theories may explain it: 1) only
36.3% of included patients in this study were
hospitalised, and those were supposed to have more
severe disease with more frequent respiratory symp-
toms, 2) the treatment protocols in the study area
focused more on respiratory manifestations,
24
and 3)
the absence of an objective tool to estimate dyspnoea,
which could be referred as ’fatigue’ by the patients
themselves in the current study.
Although hospitalisation, ICU admission, and the
need for oxygen therapy and/or mechanical ventila-
tion raises the likelihood of post-traumatic stress
disorder and prolonged post-discharge symptoms in
various medical and surgical conditions, hospitalised
patients reported fewer long COVID-19 symptoms in
the current study. Furthermore, in a previous study
examining risk factors for long COVID hospitalisa-
tion, it was discovered to be a protective factor.
17
According to a major study based on an online survey,
it has been found that non-hospitalised COVID-19
patients with mild disease had more frequent post-
COVID-19 symptoms after 3 months of acute
infection.
12
Even after 6 months of infection, a recent
study noticed persistent symptoms in more than a
third of both outpatients (32.7%) and hospitalised
patients (31.3%).
25
This was explained by overesti-
mating symptom burden due to data collection bias
(via social media), and the larger number of female
respondents expressing symptoms than males. How-
ever, there was no statistical difference between the
sexes in both non-hospitalised and hospitalised
patients who were older and had significant comor-
bid diseases in the current study. In agreement with a
previous study, the present results suggest that many
non-hospitalised patients did not recover well after 3
months of infection, possibly due to less medical
guidance, than hospitalised ones.
12
Azithromycin was one of the main lines of
treatment in early management protocols in our
region as it was easily obtained without a prescrip-
tion, explaining the overuse of antibiotics by non-
hospitalised patients in the current study. The
adherence of in-home isolated patients to all treat-
ments, whether dosing or timing, is not guaranteed,
leading to an increased occurrence of long COVID
symptoms. Furthermore, self-treated patients’ failure
Table 2 Received treatments during acute illness among non-
hospitalised vs. hospitalised COVID-19 participants (n¼262)
Non-hospitalised
(n¼167)
n(%)
Hospitalised
(n¼95)
n(%) P-value*
Antibiotics 147 (88.0) 90 (94.7) 0.075
Anticoagulants 77 (46.1) 79 (83.2) ,0.001
Corticosteroids 74 (44.3) 75 (78.9) ,0.001
Hydroxychloroquine 32 (19.2) 48 (50.5) ,0.001
Antiviral 16 (9.6) 18 (18.9) 0.030
Biological (anti-IL6) 2 (1.2) 4 (4.2) 0.117
Vitamins and zinc 142 (85.0) 91 (95.8) 0.008
Number of drugs ,0.001
Mean 6SD 2.9 61.4 4.3 61.0
Median (min–max) 3 (1–6) 4 (1–6)
*v
2
and student’s t-tests.
Statistically significant.
IL ¼interleukin; SD ¼standard deviation.
Table 3 Differences in acute stage symptoms among non-
hospitalised vs. hospitalised COVID-19 participants (n¼262)
Non-hospitalised
(n¼167)
n(%)
Hospitalised
(n¼95)
n(%) P-value*
Reported symptoms
Constitutional 161 (96.4) 93 (97.9) 0.501
Respiratory 143 (85.6) 91 (95.8) 0.010
Gastrointestinal 139 (83.2) 71 (74.7) 0.097
Neuropsychiatric 141 (84.4) 66 (69.5) 0.004
Number of symptoms 0.020
Mean 6SD 15.0 67.4 12.6 67.2
Median (min–max) 16 (0–27) 11 (2–27)
* Mann-Whitney test and v
2
test.
Statistically significant.
SD ¼standard deviation.
Table 4 Differences in post-COVID stage symptoms among
non-hospitalised vs. hospitalised COVID-19 participants (n¼
262)
Non-hospitalised
(n¼167)
n(%)
Hospitalised
(n¼95)
n(%) P-value*
Reported symptoms
Constitutional 107(64.1) 42 (44.2) 0.002
Respiratory 88 (52.7) 31 (32.6) 0.002
Gastrointestinal 88 (52.7) 35 (36.8) 0.013
Neuropsychiatric 110 (65.9) 43 (45.3) 0.001
Number of symptoms 0.005
Mean 6SD 8.1 67.5 5.7 67.7
Median (min–max) 8 (0–26) 0 (0–25)
* Mann-Whitney test was used.
Statistically significant.
SD ¼standard deviation.
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4The International Journal of Tuberculosis and Lung Disease
to take certain drugs, resulting in some side effects,
may play a role in the persistence of symptoms.
Finally, social isolation and lack of psychological
support for home-isolated patients might add to the
risks for prolonged post-COVID-19 symptoms.
Restrictions on daily activities, social isolation
and vulnerability in non-hospitalised patients may
also lead to more severe long COVID symptoms.
Various mental health consequences were reported
in previous quarantines among isolated persons,
such as depression, stress, irritability or insomnia.
Moreover, regarding physical health, restriction of
social activities leads to worse dynamic balance and
muscle strength, poor lung function, higher dis-
abilities and chronic inflammation.
26
Thus, both
mental and physical disturbances caused by social
deprivation in home-isolated patients may have
contributed to the pathogenesis of long COVID-19
symptoms.
As COVID-19 has progressed and concerns about
the long-term effects of COVID-19, especially on
functional disabilities, increased, cardiopulmonary
exercise testing was implemented. COVID-19 pa-
tients were found to have persistent breathing
problems, decreased physical fitness and muscle
weakness, implying that a tailored rehabilitation
intervention is needed.
27
Significant improvement
was found after pulmonary rehabilitation.
28
Hence,
the Stanford Hall consensus has recently recommend-
ed a multidisciplinary rehabilitation statement for
post-COVID-19 illness.
29
This study had some limitations. It was carried out
as a patient-dependent subjective analysis concerning
the patient quality of life with no use of objective
parameters such as pulmonary function tests, radio-
logical or laboratory testing. The study’s cross-
sectional design prevented longitudinal follow-up of
either the included patients or those who did not
complete the 12 weeks following infection onset.
Moreover, multiple inpatient and outpatient treat-
ment protocols were used during the data collection
period due to the novelty of the disease.
CONCLUSIONS
Long COVID-19 is a growing medical challenge that
affects both hospitalised and non-hospitalised pa-
tients. Neuropsychiatric manifestations are one of the
most common persistent COVID-19 symptoms.
Rehabilitation and psychotherapy programmes could
be advised for all recovered COVID-19 patients, even
those with mild infection and home isolation. Non-
hospitalised patients should be counselled to contact
the medical hotline services or healthcare providers
whenever needed.
Conflict of interests: none declared.
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statement for post-COVID-19 rehabilitation. Br J Sports Med
2020; 54(16): 949–959.
Allen Press, Inc.  22 July 2021  11:18 am Page 6
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6The International Journal of Tuberculosis and Lung Disease
RE
´SUME
´
CONTEXTE : Le terme « COVID-long » se r´ef`ere `ala
persistance des sympt ˆomes de COVID-19 plus de 12
semaines apr `es l’apparition des sympt ˆomes aigus. La
physiopathologie de ce syndrome reste `ad´eterminer.
OBJECTIF : E
´valuer les sympt ˆomes de COVID-long
chez des patients hospitalis´es et non-hospitalis´es.
ME
´THODES : Une enquˆete transversale a ´et ´er´ealis´ee.
L’ ´etude a inclus 262 patients divis´es en deux groupes en
fonction de leurs ant ´ec ´edents d’admission `a l’h ˆopital :
167 (63,7%) n’ont pas ´et ´e hospitalis ´es, alors que 95
(36,3%) ont ´et´e hospitalis´es.
RE
´SULTATS : Un COVID-long a ´et´e rapport ´echez157
des 262 patients (59,9%), et ´etait significativement plus
fr´equent chez les patients non-hospitalis´es (68,3% vs.
45,3%; P
,
0,001). Pendant la phase aigu¨
e, les patients
hospitalis´es ont pr´esent ´e davantage de sympt ˆomes
respiratoires (95,9% vs. 85,6%), alors que les
patients non-hospitalis´es avaient davantage de
sympt ˆomes neuropsychiatriques (84,4% vs. 69,5%; P
,
0,05). Les sympt ˆomes constitutionnels et
neuropsychiatriques ´etaient les sympt ˆomes persistants
les plus fr´equemment rapport´es dans les deux groupes,
mais tous les sympt ˆomes persistants ´etaient plus
fr´equents dans le groupe de patients non-hospitalis´es
(P
,
0,005).
CONCLUSION : Les sympt ˆomes de COVID-long
touchent aussi bien les patients hospitalis´es que non-
hospitalis´es. Les manifestations neuropsychiatriques
´etaient les sympt ˆomes de COVID-19 persistants les
plus courants. Une r´education et une psychoth´erapie
pourraient ˆetre conseill´ees `a tous les patients r´etablis. Il
convient de conseiller aux patients atteints de COVID-
19 non-hospitalis´es de contacter un prestataire de soins
en cas de besoin.
Allen Press, Inc.  22 July 2021  11:18 am Page 7
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... Debilitating sequels with organ damage involving the pulmonary, cardiovascular, musculoskeletal and autonomic nervous systems have also been reported, though in much lower incidence [7]. This constellation of symptoms may overlap with those experienced by patients suffering from fibromyalgia (FM) and chronic fatigue syndrome (CFS) [8,9]. These symptoms can coincide and be exacerbated in patients already suffering from mental health disorders [10]. ...
... Over time, as the pandemic expanded, morbidity grew in the general population among young individuals and the elderly alike. Contrary to expectations, updated research has shown that the prevalence of Long COVID-19 was disproportionally high in young, nonhospitalized individuals with low disease burden [9,13]. ...
Article
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Background: The COVID-19 (Coronavirus disease 2019) pandemic has prompted extensive research into lingering effects, especially in ‘Long COVID’ patients. Despite exploration, contributing factors remain elusive; Objective: This study explores the potential link between distinctive personality profiles, particularly type D personality, and an increased risk of Long COVID; Methods: A retrospective cross-sectional study at Tel-Aviv Sourasky Medical Center’s Post-COVID clinic analyzed data from 373 Long COVID patients through comprehensive questionnaires covering Long COVID syndrome, Fibromyalgia criteria, personality assessments, social support, and subjective evaluations of cognitive decline, health and life quality. In total, 116 out of 373 patients completed the questionnaire, yielding a 31% participation rate; Results: Cluster analysis revealed two groups, with Cluster 1 (N = 58) exhibiting Type D personality traits while Cluster 2 (N = 56) not meeting criteria for Type D personality. In comparison to Cluster 2, Cluster 1 patients reported heightened anxiety, depression, reduced social support, increased pain symptoms, manifestations of fibromyalgia, cognitive decline, and poor sleep quality, contributing to a diminished quality-of-life perception; Conclusions: findings highlight diverse personality profiles among Long COVID patients, emphasizing the need for tailored care. This approach shows potential for improving Long COVID patient care, aligning with the evolving personalized medicine paradigm.
... COVID-19 causes lung problems and over time, these lung problems can cause long-term damage in patients with a post-COVID-19 syndrome that may lead to irreversible dyspnoea [6]. 45.3% of hospitalized patients and 65.9% of non-hospitalized patients experienced sleep difficulties, tinnitus, anosmia, and/or ageusia, memory loss, lack of concentration, anxiety and/or depression, and peripheral neuropathy [7]. Non-hospitalized patients have a higher percentage; perhaps it is because they receive less medical attention than those who are hospitalized [7]. ...
... 45.3% of hospitalized patients and 65.9% of non-hospitalized patients experienced sleep difficulties, tinnitus, anosmia, and/or ageusia, memory loss, lack of concentration, anxiety and/or depression, and peripheral neuropathy [7]. Non-hospitalized patients have a higher percentage; perhaps it is because they receive less medical attention than those who are hospitalized [7]. ...
Article
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Introduction: COVID-19 is a respiratory illness that is caused by a coronavirus. Infected people will have a chance to develop post-COVID-19 syndrome. The aim of this study is to identify the association of gender, marital status, age and university on knowledge, awareness and attitude of post-COVID-19 syndrome among medical students in four universities in Malaysia. Methods: A cross-sectional study was conducted from October 2021 to July 2022 at four universities in Malaysia which are Universiti Putra Malaysia (UPM), Universiti Islam Antarabangsa Malaysia (UIAM), Universiti Sains Malaysia (USM) and Universiti Sains Islam Malaysia (USIM). A self-administered questionnaire was administered to 355 respondents consisted of four sections, assessing socio-demographic data and knowledge, awareness and attitudes of post-COVID-19 syndrome. Results: 54.4% of the respondents had high knowledge, 53.8% had high awareness, and 55.21% had a high attitude towards post-COVID-19 syndrome. In this study, there is a significant association between knowledge on post-COVID-19 syndrome and the age among respondents. Knowledge and awareness, knowledge, and attitude as well as awareness and attitude on post-COVID-19 syndrome was also found to have significant association among respondents. Conclusion: The older age of the respondents have good knowledge towards post-COVID-19 syndrome.
... Szakirodalmi adatok megerősítik, hogy a poszt-COVID-tünetek aránya a kórházi kezelést nem igénylő felnőtt betegek között akár 68% is lehet (15,16). A SARS-CoV-2-fertőzés kezdetét követő második-harmadik héten a betegek kb. ...
... A SARS-CoV-2-fertőzés kezdetét követő második-harmadik héten a betegek kb. egyharmada (35%) nem tud visszatérni rendes életviteléhez, két hónappal a betegség kezdete után a nem kritikus lefolyású betegek 40%-ának van még fáradékonysága (15,16). Érdekes, hogy a poszt-COVID-fáradékonyság kialakulása nem függ a betegség lefolyásának súlyosságától, a radiológiai és egyéb leletek nincsenek összefüggésben (azaz egyenes arányban) a poszt-COVID19 tünetek súlyosságával (17). ...
Article
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A súlyos akut légúti tünetegyüttest okozó koronavírus (SARS-CoV) 2002-ben jelent meg először Kínában. A fertőzések elsősorban az egészségügyi dolgozókat érintették, a szigorú járványügyi intézkedésekkel az endémia 2003 júliusában véget ért. A COVID19 (koronavírus-betegség 2019) betegséget kiváltó korona-vírus a SARS-CoV-2 (súlyos akut légúti tünetegyüttest okozó koronavírus-2) csaknem 80%-os genetikai hasonlóságot mutat a 2003-as SARS-járványt (súlyos akut légúti tünetegyüttest) kiváltó koronavírussal. A fertőzéssel összefüggő tünetek jelentős hasonlóságot mutatnak a SARS és a COVID19 betegségek esetében, és megegyeznek az atípusos tüdőgyulladás tüneteivel. A SARS és a COVID19 súlyos eseteiben azonosított citokinvihar mely gyulladásos aktiváció révén jön létre terápiás perspektívákat nyit a kóros gyulladás ellensúlyozásában. A poszt-SARS szindróma a long-COVID szindrómával szintén nagyfokú hasonlóságot mutat, a két betegség hátterében álló pathofiziológiai folyamatok jelentős részben továbbra sem ismertek. A tartós gyulladás azonban kulcsfontosságú mediátornak számít a hosszú távú következmények multifaktoriális genezisében mindkét szindróma esetében. A 2003-as SARS-járványból levont tanulságok most iránymutatást nyújthatnak az egészségügyi ellátásban, a poszt-COVID rehabilitációs programokat is beleértve. Jelen áttekintésben összegezzük az eddigi tudományos ismereteket, és összehasonlítjuk e koronavírusok biológiai tulajdonságait és az általuk okozott betegségek klinikai jellemzőit. The severe acute respiratory syndrome coronavirus (SARS-CoV) first appeared in China in 2002. Infections mainly affected health workers, and strict epidemiological measures resulted the endemic to stop in July 2003. The coronavirus that caused COVID19 (coronavirus disease 2019), SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2), shares almost 80% genetic similarity with the coronavirus that started the 2003 SARS outbreak. The symptoms associated with the infection show significant similarities between SARS and COVID19 and are consistent with those of atypical pneumonia. The cytokine storm identified in severe cases of SARS and COVID19, which is generated by inflammatory activation, opens up therapeutic perspectives to counteract pathological inflammation. The post-SARS syndrome shares a high degree of similarity with the long-COVID syndrome, and the pathophysiological processes underlying both diseases.
... Indeed, there are data to suggest a higher prevalence of persistent symptoms in patients who were not hospitalized with COVID-19. 13,14 Studies have shown, largely through online surveys, that patients who have a mild illness in the community report symptoms of long-COVID up to 6 months after the acute illness. 15 Long-COVID is clinically heterogenous and the mechanism underlying the range of reported physical and neuropsychiatric symptoms remains unclear. ...
Article
Full-text available
Introduction Long‐COVID is a heterogeneous condition with a litany of physical and neuropsychiatric presentations and its pathophysiology remains unclear. Little is known about the association between inflammatory biomarkers, such as interleukin‐6 (IL‐6) and C‐reactive protein (CRP) in the acute phase, and persistent symptoms after hospitalization in COVID‐19 patients. Methods IL‐6, CRP, troponin‐T, and ferritin were analyzed at admission for all patients with COVID‐19 between September 1, 2020 to January 10, 2021. Survivors were followed up 3‐months following hospital discharge and were asked to report persistent symptoms they experienced. Admission data were retrospectively collected. Independent t ‐tests and Mann–Whitney U tests were performed. Results In a sample of 144 patients (62.5% male, mean Age 62 years [SD = 13.6]) followed up 3 months after hospital discharge, the commonest symptoms reported were fatigue (54.2%), breathlessness (52.8%), and sleep disturbance (37.5%). In this sample, admission levels of IL‐6, CRP and ferritin were elevated. However, those reporting myalgia, low mood, and anxiety at follow‐up had lower admission levels of IL‐6 (34.9 vs. 52.0 pg/mL, p = .043), CRP (83 vs. 105 mg/L, p = .048), and ferritin (357 vs. 568 ug/L, p = .01) respectively, compared with those who did not report these symptoms. Multivariate regression analysis showed that these associations were confounded by gender, as female patients had significantly lower levels of IL‐6 and ferritin on admission (29.5 vs. 56.1, p = .03 and 421.5 vs. 589, p = .001, respectively) and were more likely to report myalgia, low mood and anxiety, when compared to males. Conclusions Our data demonstrate that female patients present more often with lower levels of inflammatory biomarkers on admission which are subsequently associated with long‐term post‐COVID symptoms, such as myalgia and anxiety, in those discharged from hospital with severe COVID‐19. Further research is needed into the role of serum biomarkers in post‐COVID prognostication.
... Some participants perceived non-hospitalized patients are a risk group due to getting less medical care when they were not admitted to a hospital. This is consistent with studies done in Egypt [20]. ...
... Some participants perceived non-hospitalized patients are a risk group due to getting less medical care when they were not admitted to a hospital. This is consistent with studies done in Egypt [20]. ...
Article
Full-text available
Background Corona Virus Disease (COVID-19) has long-term sequels that persisted for months to years and manifested with a spectrum of signs and symptoms. Presentations of long COVID-19 symptoms are heterogeneous, vary from person to person, and can reach up to over 200 symptoms. Limited studies are conducted on the awareness of long COVID-19. So, this study aimed to explore the awareness about and care seeking for long COVID-19 symptoms among COVID survivors in Bahir Dar City in 2022. Methods A qualitative study with a phenomenological design was used. Participants of the study were individuals who survived five months or longer after they tested positive for COVID-19 in Bahir Dar city. Individuals were selected purposively. An in-depth interview guide was prepared and used to collect the data. Open Cod 4.03 software was used for coding and synthesizing. Thematic analysis was used to analyze the transcripts. Results The themes emerged from the data were awareness, experience of symptoms and their effects, and care practices of long COVID-19. Although only one participant mentioned the common symptoms of long COVID-19 the survivors experienced general, respiratory, cardiac, digestive, neurological, and other symptoms. These symptoms include rash, fatigue fever, cough, palpitations, shortness of breath, chest pain, and abdominal pain, loss of concentration, loss of smell, sleep disorder, depression, joint and muscle pain. These symptoms brought various physical and psychosocial effects. The majority of the respondents described that long COVID-19 symptoms will go off by themselves. To alleviate the problems some of the participants had taken different measures including medical care, homemade remedies, spiritual solutions, and lifestyle modification. Conclusions The result of this study revealed that participants have a significant deficit of awareness about the common symptoms, risk groups, and communicability of Long COVID. However, they experienced the majority of the common symptoms of Long COVID. To alleviate the problems, they had taken different measures including medical care, homemade remedies, spiritual solutions, and lifestyle modification.
... The initial screening tool, "the long covid Symptom and Impact Tool", was constructed and validated in France, with a passing score of 30 for self-reported, acceptable symptom control state (95% CI, 28-33) [16]. Non-hospitalized patients are more likely to be associated with neuropsychiatric symptoms [17], while hospitalized patients have more respiratory symptoms (p < 0.05) [18]. Three months is set as the duration necessary for diagnosis, since over 70% of COVID-19 survivors experienced symptom resolution by 12 weeks [19]. ...
Article
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The COVID-19 outbreak was first reported in 2019, causing massive morbidity and mortality. The majority of the COVID-19 patients survived and developed Post-COVID-19 Syndrome (PC19S) of varying severity. Currently, the diagnosis of PC19S is achieved through history and symptomatology that cannot be explained by an alternative diagnosis. However, the heavy reliance on subjective reporting is prone to reporting errors. Besides, there is no unified diagnostic assessment tool to classify the clinical severity of patients. This leads to significant difficulties when managing patients in terms of public resource utilization, clinical progression monitorization and rehabilitation plan formulation. This narrative review aims to review current evidence of diagnosis based on triple assessment: clinical symptomatology, biochemical analysis and imaging evidence. Further assessment tools can be developed based on triple assessment to monitor patient’s clinical progression, prognosis and intervals of monitoring. It also highlights the high-risk features of patients for closer and earlier monitoring. Rehabilitation programs and related clinical trials are evaluated; however, most of them focus on cardiorespiratory fitness and psychiatric presentations such as anxiety and depression. Further research is required to establish an objective and comprehensive assessment tool to facilitate clinical management and rehabilitation plans.
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The COVID‐19 pandemic has induced significant impairments, including sleep disturbances. The present study aimed to explore the impact of fear in relation to stress on sleep disorders among Italian adults and older participants in the second phase of the EPICOVID19 web‐based survey (January‐February 2021). Sleep disturbances during the pandemic were evaluated using the Jenkins Sleep Scale, perceived stress through the 10‐item Perceived Stress Scale and fear of contagion and about economic and job situation with four ad hoc items. The strength of the pathways between stress, sleep disturbances and fear was explored using structural equation modelling, hypothesising that stress was related to sleep disturbances and that fear was associated with both stress and sleep problems. Out of 41,473 participants (74.7% women; mean age 49.7 ± 13.1 years), 8.1% reported sleep disturbances and were more frequently women, employed in a work category at risk of infection or unemployed, and showed higher deprivation scores. Considering an a priori hypotheses model defining sleep and stress scores as endogenous variables and fear as an exogenous variable, we found that fear was associated with sleep problems and stress, and stress was associated with sleep problems; almost half of the total impact of fear on sleep quality was mediated by stress. The impact of stress on sleep quality was more evident in the younger age group, among individuals with a lower socioeconomic status and healthcare workers. Fear related to COVID‐19 seem to be associated with sleep disturbances directly and indirectly through stress.
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This cohort study analyzed persistent symptoms among adults with coronavirus disease 2019 up to 9 months after illness onset.
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COVID-19, caused by SARS-CoV-2, can involve sequelae and other medical complications that last weeks to months after initial recovery, which has come to be called Long-COVID or COVID long-haulers. This systematic review and meta-analysis aims to identify studies assessing long-term effects of COVID-19 and estimates the prevalence of each symptom, sign, or laboratory parameter of patients at a post-COVID-19 stage. LitCOVID (PubMed and Medline) and Embase were searched by two independent researchers. All articles with original data for detecting long-term COVID-19 published before 1st of January 2021 and with a minimum of 100 patients were included. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. Heterogeneity was assessed using I2 statistics. The Preferred Reporting Items for Systematic Reviewers and Meta-analysis (PRISMA) reporting guideline was followed. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included. The follow-up time ranged from 15 to 110 days post-viral infection. The age of the study participants ranged between 17 and 87 years. It was estimated that 80% (95% CI 65-92) of the patients that were infected with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). All meta-analyses showed medium (n=2) to high heterogeneity (n=13). In order to have a better understanding, future studies need to stratify by sex, age, previous comorbidities, severity of COVID-19 (ranging from asymptomatic to severe), and duration of each symptom. From the clinical perspective, multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.
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Objectives: This study aims to analyze the incidence of Post-acute COVID-19 syndrome (PCS) and its components, and to evaluate the acute infection phase associated risk factors. Methods: A prospective cohort study of adult patients who had recovered from COVID-19 (27th February to 29th April 2020) confirmed by PCR or subsequent seroconversion, with a systematic assessment 10-14 weeks after disease onset. PCS was defined as the persistence of at least one clinically relevant symptom, or abnormalities in spirometry or chest radiology. Outcome predictors were analyzed by multiple logistic regression (OR; 95%CI). Results: Two hundred seventy seven patients recovered from mild (34.3%) or severe (65.7%) forms of SARS-CoV-2 infection were evaluated 77 days (IQR 72-85) after disease onset. PCS was detected in 141 patients (50.9%; 95%CI 45.0-56.7%). Symptoms were mostly mild. Alterations in spirometry were noted in 25/269 (9.3%), while in radiographs in 51/277 (18.9%). No baseline clinical features behaved as independent predictors of PCS development. Conclusions: A Post-acute COVID-19 syndrome was detected in a half of COVID19 survivors. Radiological and spirometric changes were mild and observed in less than 25% of patients. No baseline clinical features behaved as independent predictors of Post-acute COVID-19 syndrome development.
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The long-term effects of the severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2) are not well understood. This rapid review was aimed at synthesizing evidence on the long-term effects of the SARS-CoV-2 infection among survivors. We considered both randomised controlled trials and non-randomised studies eligible for inclusion in this review. The following databases were searched: PubMed, Scopus, Cochrane library, Google Scholar, and the World Health Organization (WHO) COVID-19 database. The reference lists of all the included studies were also searched. Two authors independently screened the search outputs and reviewed full texts of potentially eligible articles. Data extraction was done by one author and checked by a second author. A meta-analysis was not conducted due to heterogeneity among the included studies. Results are presented narratively. Eleven studies met our inclusion criteria. All these studies were conducted in high-income countries. Study findings demonstrate that COVID-19 survivors can experience persistent symptoms after recovering from their initial illness, especially among previously hospitalized persons. The majority of symptoms reported were fatigue, shortness of breath, cough, and sleep disorders. Mental conditions, such as depression and anxiety disorders, were also reported. In conclusion, this study showed that COVID-19 survivors can experience persistent symptoms after recovering from their initial illness. Therefore, there is a need for a long-term follow-up of COVID-19 patients and rehabilitation services for survivors. More research is needed in this area, especially in Africa.
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Introduction The increasing evidence of SARS‐CoV‐2 impact on the central nervous system (CNS) raises key questions on its impact for risk of later life cognitive decline, Alzheimer's disease (AD), and other dementia. Methods The Alzheimer's Association and representatives from more than 30 countries—with technical guidance from the World Health Organization—have formed an international consortium to study the short‐and long‐term consequences of SARS‐CoV‐2 on the CNS—including the underlying biology that may contribute to AD and other dementias. This consortium will link teams from around the world covering more than 22 million COVID‐19 cases to enroll two groups of individuals including people with disease, to be evaluated for follow‐up evaluations at 6, 9, and 18 months, and people who are already enrolled in existing international research studies to add additional measures and markers of their underlying biology. Conclusions The increasing evidence and understanding of SARS‐CoV‐2's impact on the CNS raises key questions on the impact for risk of later life cognitive decline, AD, and other dementia. This program of studies aims to better understand the long‐term consequences that may impact the brain, cognition, and functioning—including the underlying biology that may contribute to AD and other dementias.
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Background The long-term health consequences of COVID-19 remain largely unclear. The aim of this study was to describe the long-term health consequences of patients with COVID-19 who have been discharged from hospital and investigate the associated risk factors, in particular disease severity. Methods We did an ambidirectional cohort study of patients with confirmed COVID-19 who had been discharged from Jin Yin-tan Hospital (Wuhan, China) between Jan 7, 2020, and May 29, 2020. Patients who died before follow-up, patients for whom follow-up would be difficult because of psychotic disorders, dementia, or re-admission to hospital, those who were unable to move freely due to concomitant osteoarthropathy or immobile before or after discharge due to diseases such as stroke or pulmonary embolism, those who declined to participate, those who could not be contacted, and those living outside of Wuhan or in nursing or welfare homes were all excluded. All patients were interviewed with a series of questionnaires for evaluation of symptoms and health-related quality of life, underwent physical examinations and a 6-min walking test, and received blood tests. A stratified sampling procedure was used to sample patients according to their highest seven-category scale during their hospital stay as 3, 4, and 5–6, to receive pulmonary function test, high resolution CT of the chest, and ultrasonography. Enrolled patients who had participated in the Lopinavir Trial for Suppression of SARS-CoV-2 in China received severe acute respiratory syndrome coronavirus 2 antibody tests. Multivariable adjusted linear or logistic regression models were used to evaluate the association between disease severity and long-term health consequences. Findings In total, 1733 of 2469 discharged patients with COVID-19 were enrolled after 736 were excluded. Patients had a median age of 57·0 (IQR 47·0–65·0) years and 897 (52%) were men. The follow-up study was done from June 16, to Sept 3, 2020, and the median follow-up time after symptom onset was 186·0 (175·0–199·0) days. Fatigue or muscle weakness (63%, 1038 of 1655) and sleep difficulties (26%, 437 of 1655) were the most common symptoms. Anxiety or depression was reported among 23% (367 of 1617) of patients. The proportions of median 6-min walking distance less than the lower limit of the normal range were 24% for those at severity scale 3, 22% for severity scale 4, and 29% for severity scale 5–6. The corresponding proportions of patients with diffusion impairment were 22% for severity scale 3, 29% for scale 4, and 56% for scale 5–6, and median CT scores were 3·0 (IQR 2·0–5·0) for severity scale 3, 4·0 (3·0–5·0) for scale 4, and 5·0 (4·0–6·0) for scale 5–6. After multivariable adjustment, patients showed an odds ratio (OR) 1·61 (95% CI 0·80–3·25) for scale 4 versus scale 3 and 4·60 (1·85–11·48) for scale 5–6 versus scale 3 for diffusion impairment; OR 0·88 (0·66–1·17) for scale 4 versus scale 3 and OR 1·77 (1·05–2·97) for scale 5–6 versus scale 3 for anxiety or depression, and OR 0·74 (0·58–0·96) for scale 4 versus scale 3 and 2·69 (1·46–4·96) for scale 5–6 versus scale 3 for fatigue or muscle weakness. Of 94 patients with blood antibodies tested at follow-up, the seropositivity (96·2% vs 58·5%) and median titres (19·0 vs 10·0) of the neutralising antibodies were significantly lower compared with at the acute phase. 107 of 822 participants without acute kidney injury and with estimated glomerular filtration rate (eGFR) 90 mL/min per 1·73 m² or more at acute phase had eGFR less than 90 mL/min per 1·73 m² at follow-up. Interpretation At 6 months after acute infection, COVID-19 survivors were mainly troubled with fatigue or muscle weakness, sleep difficulties, and anxiety or depression. Patients who were more severely ill during their hospital stay had more severe impaired pulmonary diffusion capacities and abnormal chest imaging manifestations, and are the main target population for intervention of long-term recovery. Funding National Natural Science Foundation of China, Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences, National Key Research and Development Program of China, Major Projects of National Science and Technology on New Drug Creation and Development of Pulmonary Tuberculosis, and Peking Union Medical College Foundation.
Article
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Much of the spotlight for coronavirus disease 2019 (COVID-19) is on the acute symptoms and recovery. However, many recovered patients face persistent physical, cognitive, and psychological symptoms well past the acute phase. Of these symptoms, fatigue is one of the most persistent and debilitating. In this “perspective article,” we define fatigue as the decrease in physical and/or mental performance that results from changes in central, psychological, and/or peripheral factors due to the COVID-19 disease and propose a model to explain potential factors contributing to post-COVID-19 fatigue. According to our model, fatigue is dependent on conditional and physiological factors. Conditional dependency comprises the task, environment, and physical and mental capacity of individuals, while physiological factors include central, psychological, and peripheral aspects. This model provides a framework for clinicians and researchers. However, future research is needed to validate our proposed model and elucidate all mechanisms of fatigue due to COVID-19.
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Background Being a newly emerging disease little is known about its long-lasting post COVID-19 consequences. Aim of this work is to assess the frequency, patterns and determinants of persistent post COVID-19 symptoms and to evaluate the value of a proposed Novel COVID-19 symptoms score. Patients with confirmed COVID-19 in the registry were included in a cross sectional study. The patient demographics, comorbid disorders, the mean duration since the onset of the symptoms, history of hospital or ICU admittance, and treatment taken during acute state, as well as symptoms score before and after convalescence were recorded. Results The most frequent constitutional and neurological symptoms were myalgia (60.0%), arthralgia (57.2%), restriction of daily activities (57.0%), sleeping troubles (50.9%), followed by anorexia (42.6%), chest pain (32.6%), gastritis (32.3%), cough (29.3%) and dyspnea (29.1%). The mean total score of acute stage symptoms was 31.0 ± 16.3 while post COVID 19 symptoms score was 13.1±12.6 (P<0.001). The main determinants of the persistent post COVID-19 symptoms were the need for oxygen therapy (P<0.001), pre-existing hypertension (P=0.039), chronic pulmonary disorders (P=0.012), and any chronic comorbidity (P=0.004). There was a correlation between the symptom score during the acute attack and post COVID-19 stage (P<0.001, r=0.67). The acute phase score had 83.5% sensitivity and 73.3% specificity for the cutoff point > 18 to predict occurrence of Post-COVID-19 symptoms. Conclusions COVID-19 can present with a diverse spectrum of long-term post COVID-19 symptoms. Increased acute phase symptom severity and COVID-19 symptom score > 18 together with the presence of any comorbid diseases increase the risk for persistent post COVID-19 manifestations and severity.
Article
Objective: The aim of this pilot study was to assess physical fitness and its relationship with functional dyspnea in survivors of Covid-19, 6 months after their discharge from the hospital. Methods: Data collected routinely from people referred for cardiopulmonary exercise testing (CPET) following hospitalization for Covid-19 were retrospectively analyzed. Persistent dyspnea was assessed using the modified Medical Research Council dyspnea (mMRC) scale. Results: Twenty-three people with persistent symptoms were referred for CPET. Mean mMRC dyspnea score was 1 (SD = 1) and was significantly associated with VO2peak (%) (rho = -0.49). At 6 months, those hospitalized in the general ward had a slightly reduced VO2peak (87% [SD = 20]), whereas those who had been in the intensive care unit (ICU) had a moderately reduced VO2peak (77% [SD = 15]). Of note, the results of the CPET revealed that, in all patients, respiratory equivalents were high, power-to-weight ratios were low, and those who had been in the ICU had a relatively low ventilatory efficiency (mean VE/VCO2 slope = 34 [SD = 5]). Analysis of each individual showed that none had a breathing reserve <15% or 11 L/min, all had a normal exercise electrocardiogram, and 4 had a heart rate above 90%. Conclusion: At 6 months, persistent dyspnea was associated with reduced physical fitness. This study offers initial insights into the mid-term physical fitness of people who required hospitalization for Covid-19. It also provides novel pathophysiological clues about the underlaying mechanism of the physical limitations associated with persistent dyspnea. Those with persistent dyspnea should be offered a tailored rehabilitation intervention, which should probably include muscle reconditioning, breathing retraining, and perhaps respiratory muscle training. Impact: This study is the first to show that a persistent breathing disorder (in addition to muscle deconditioning) can explain persistent symptoms 6 months after hospitalization for Covid-19 infection and suggests that a specific rehabilitation intervention is warranted.