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CARACTERÍSTICAS CLÍNICAS E LABORATORIAIS DA COVID-19: UMA
ANÁLISE NA INTERNAÇÃO HOSPITALAR
CLINICAL AND LABORATORY
CHARACTERISTICS FOR COVID-19: ANALYSIS OF HOSPITAL INTERNMENT
Letícia Silveira Goulart[1]
* Kassila Conceição Ferreira Santos[2]
* Débora Aparecida da Silva Santos[3]
* Magda de Mattos[4]
ABSTRACT
Background: The COVID-19 pandemic has been a very serious issue in public health,
with high morbidity and mortality rates. The disease has a wide spectrum of=
clinical
symptoms with laboratory alterations. Objectives: To analyze the clinical a=
nd
laboratory characteristics of patients with COVID-19 in hospitalization. Methodology: Patients diagnosed w=
ith
COVID-19 and admitted in a Health Care Unit and in a specialized Municipal
Hospital were included. Data were retrieved from the patients´ electronic
charts and descriptive statistics were employed. Results: 205 patients were included. The most frequent clinical
symptoms comprised dyspnoea (48.29%), coughs (30.73%) and myalgia
(24.39%). Systemic arterial hypert=
ension
was the dominant co-morbidity (73.47%). Most patients also had lymphopenia
(73.12%), rise in reactive protein C (97.53%), increase in lactic dehydroge=
nase
(94.52%) and decrease in pO2 (69.00%). Conclusion:
Data retrieved determined the clinical and laboratory profile of patien=
ts
with COVID-19 at hospitalization. Results may contribute towards a better
analysis of the disease´s pathogeny.
Keywords: COVID-19, <=
/span>signs and symptoms,
laboratory test, biomarkers.
RESUMO
Objetivo:
Analisar as características clínicas e laboratoriais de pacientes com COVID=
-19
na internação hospitalar. Métodos:=
Foram
incluídos no estudo pacientes com diagnóstico de COVID-19 internados em uma=
Unidade de Pronto Atendimento e em um Hospital
Municipal de referê=
ncia
para a doença. Os dados foram coletados dos prontuários eletrônicos =
dos
pacientes. Aplicou-se a estatística descritiva. Resultados: Foram incluídos 205 pacientes. Os sinais e sintomas clínicos m=
ais
frequentes foram dispneia (48,29%), tosse (30,73%) e mialgia (24,39%). A
hipertensão arterial sistêmica foi a comorbidade predominante (73,47%). A
maioria dos pacientes apresentou linfopenia (73,12%), elevação na proteína C
reativa (97,53%), aumento de desidrogenase láctica (94,52%) e redução na pO2
(69,00%). Conclusões: Os dados
gerados possibilitaram determinar o perfil clínico e laboratorial de pacien=
tes
com COVID-19 na internação hospitalar. Esses resultados podem contribuir pa=
ra
uma melhor compreensão da patogenia da doença.
Palavras-chave: COVID-19; Si=
nais e
Sintomas; Testes Laboratoriais; Biomarcadores
INTRODUCTION
In
the end of 2019 in Wuhan c=
ity,
Hubei province, China, a new species
of Coronavirus was identified after an outbreak of pneumonia unknown etiology, later t=
he etiologic agent was named Severe Acute Respiratory Syndrome Coronavirus (SARS -CoV-2)1. =
In February 2020, the severe acute<=
/span> respiratory syndrome that was sp=
reading
around the world was named=
by the World Health Organization as Coronavíurs
Disease 2019 (COVID-19) and on March 11 of the same year, the disease was characteri=
zed
as a pandemic2.
It
is estimated that most ind=
ividuals
with COVID-19 are asymptomatic or have only cardiac injury and second=
ary
infection6.
The
similarity of the symptoms=
COVID-19 with those other pathologies associate=
d with
the upper and lower=
respiratory tract makes the initial disease=
difficult diagnosis. Howe=
ver,
laboratory tests, carried out in the initial ph=
ase of
the disease, such as Reverse Transcription
followed by Polymerase Chair Reaction (RT-PCR) w=
hich enables the identification of
SARS-CoV-2 RNA and tests that detect viral antigens in the secretion=
nasal
are important to guide clinical management=
7.
Different
clinical and laboratory characteristics are observed=
span>
among patients affected by COVID-19. However, dynamic<=
/span>
monitoring laboratory tests can
be significant to predict the prognosis of pati=
ents, especially because the di=
sease is
associated with a severe inflammatory process w=
ith organ dysfunction8. C=
onsiderable
laboratory parameters for =
monitoring
the progression of COVID-19 include lactic dehydrogenase,
Therefore,
knowing the changes in laboratory tests and the=
signs and symptoms presen=
ted by
patients affected with COVID-19 during hospitalization=
can be a useful too=
l to understand the evolution of the disease, and propose adequate care str=
ategies
and conducts. these
patients.
OBJECTIVES
The
aim was to analyze =
the
clinical and laboratory characteristics of patients with COVID-19 during
hospital internment.
MATERIAL
AND METHOD
It
is an observational and retrospective study, with patients diagnosed
with COVID-19, admitted to an Emergency Care Un=
it
(UPA) and to a Municipal Hospital of reference =
for
care to COVID-19 in the municipality of Rondonó=
polis,
MT, in the period between January to April 2021.
Subjects
with laboratory confirmation for the disease by
RT-PCR or by rapid antigen=
testing from nasopharyngeal swab
samples during the study period were included in the study. Patients whose data in the medical records were incomplete
and excluded.
Clinical
data and results of laboratory tests presented =
by
patients at the time of admission to health
The
analyzed variables =
were classified into blocks:
a)
sociodemographic (age and =
gender)
b)
clinical (co-morbidities, duration, COVID) symptoms;
c)
hematological parameters=
span>
(total leukocytes, lymphoc=
ytes,
monocytes, erythrocytes, hemoglobin, hematocrit, a=
nd platelets) ;
d)
biochemical parameters (C-reactive protein, sodium, potassium, carbon dioxide partial pressure =
(pCO2), oxygen partial pressure (=
pO2),
pH, and bicarbonate).
Data
were tabulated using the
Microsoft Excel 2013 program and analyzed
using the JASP program.
Descriptive statistics were performed.
Continuous variables were =
expressed
as mean with standard devi=
ation,
median, minimum and=
maximum values. Categorical variables were expressed =
as absolute and relative
RESULTS
A
total of 205 patients were included in the present
study, 111 (54.15%) male, mean age 57.13 years
(Standard deviation: 17.41, Minimum=3D13
and Maximum=3D94). The most frequent clinical <=
span
class=3DSpellE>signs and symptoms in the=
studied population were <=
span
class=3DSpellE>dyspnea (48.29%), cough (30.73%), myalgia (24.39%), a=
nd fever (20.00%). The average
period of onset of signs=
span>
and symptoms before
hospital admission was 8.3 days.
The
prevalence of comorbiditie=
s
in patients hospitalized for COVID-19 was 47.80=
%. The
most frequent comorbidities were systemic
arterial hypertension (73.47%), diabetes mellit=
us
(31.63%), and obesity (13.26%). Table
1 describes the sociodemog=
raphic
and clinical characteristics of the studied
Table 1 - Sociodemographic and clinical characteristics of individuals with COVID-19. Rondonópolis, MT, 2021.
Variable |
N (%) |
Gênero |
|
Female |
94
(45.85) |
Male |
111
(54.15) |
Age years) |
|
Median (Min - Ma=
x) |
57
(13 - 94) |
13
to 39 |
29
(14.14) |
40
to 59 |
91
(44.39) |
60
or more |
85
(41.46) |
Comorbidities |
|
Yes |
98
(47.81) |
Not |
107
(52.19) |
Systemic arterial =
hypertension |
72
(73.47) |
Diabetes
mellitus |
31
(31.63) |
Obesity |
13
(13.26) |
Heart
disease |
7
(7.14) |
Cancer |
3
(3.06) |
Alzheimer's |
1
(1.02) |
Leprosy |
1
(1.02) |
Epilepsy |
1
(1.02) |
Leprosy |
1
(1.02) |
Psychiatric disorder |
1
(1.02) |
Duration of symptoms=
before admission in |
|
Average |
8.3 |
up to 7 |
86
(42.00) |
8
to 14 |
108
(53.00) |
15
or more |
11
(5.36) |
Clinical signs and <=
span
class=3DSpellE>symptoms on admission |
|
Dyspnea |
99
(48.29) |
Cough |
63
(30.73) |
Myalgia |
50
(24.39) |
Fever |
41
(20) |
Asthenia |
5
(17.07) |
Headache |
23
(11.21) |
Anosmia |
17 (8.29) |
Ageusia |
13
(6.34) |
Nausea and puke |
17
(8.29) |
Source: The authors=
The
analysis of hematological data revealed
that most cases had values within the normal ra=
nge
for the count of total leu=
kocytes
(68.29 %), monocytes (88.44%), erythrocytes
(81.00%), and platelets (88.67 %), as well as for the values of hemato=
crit
(80.00%) and hemoglobin (84.39%). Lymphopenia
was observed in most patients (73.13%), with a =
median of 496.00 cells pe=
r mm3 (Table 2).
Table=
b> 2 - Hematological individuals=
parameters with COVID-19. Rondonópolis, MT, 2021.
Variable |
N (%) |
Leukocyte count (4000 - 11000 /mm³) |
|
Median per mm3 |
7.520 |
Normal |
120 (68.29) |
High |
52 (25.36) |
Reduced |
13 (6.34) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Lymphocyte=
count (1000 - 4.950 /mm³) |
|
Median per mm |
496.00 |
Normal |
54 (27.00) |
High |
0 (0.00) |
Reduced |
147 (73.13) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Monocyte=
span> count (80 - 1100 /mm³) |
|
Median per mm |
377.00 |
Normal |
176 (88.44) |
High |
17 (8.54) |
Reduced |
6 (3.01) |
Red cell count
(400 - 540 million/mm³) |
|
Median per mm |
4.60 |
Normal |
166 (81.00) |
High |
1 (0.48) |
Reduced |
38 (18.53) |
<= span style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Hematocrit= (37-45%)<= o:p> |
|
Median |
40.60 |
Normal |
164 (80.00) |
High |
2 (0.97) |
Reduced |
39 (19.02) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Hemoglobin=
Dosage (11.7 - 16.0 g/dL) |
|
Median g/dL |
13.40 |
Normal |
173 (84.39) |
High |
1 (0.48) |
Reduced |
31 (15.12) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Platelet=
span> count (150000 to 450000 /mm³) |
|
Median per mm |
235.967 |
Normal |
180 (88.67) |
High |
2 (0.98) |
Reduced |
21 (10.34) |
Source:
The authors
The
patients studied presented increased levels of =
PCR
(97.53%) and lactic dehydr=
ogenase
(94.52%) on admission, as =
well
as a reduction in pO2 (69.00%). Sodium,
potassium, bicarbonate, pH
and pCO2 values were normal for most cases (Table
3).
The patients studied presented increased levels of PCR (97.53%) an=
d lactic dehydrogenase (94.=
52%) on admission, as well as a <=
span
class=3DSpellE>reduction in pO2 (69.00%). Sodiu=
m,
potassium, bicarbonate, pH,
and pCO2 were values normal for most cases
Table 3 - Biochemical parameters of=
individuals with COVID-19. Rondonópolis, MT, 2021.
Variável |
=
span>N
(%) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>C-Reactive=
Protein (=
Less than 6 mg/L) |
|
Median in mg/L |
102.90 |
Normal |
5 (2.46) |
High |
198 (97.53) |
Reduced |
0 (0.00) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Sodium (136 to 1=
45
mmol/L) |
|
Median in mmol/L=
|
137.00 |
Normal |
179 (91.00) |
High |
4 ( 2.03) |
Reduced |
14 (7.10) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Potassium<=
/span> (3.6 to 5=
.5
mmol/L) |
|
Median in mmol/L=
|
4.30 |
Normal |
176 (90.25) |
High |
7 ( 3.59) |
Reduced |
12 (6.15) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Lactic dehydrogenase (135 to 225 U/L) |
|
Median in U/L |
409.00 |
Normal |
4 ( 5.479) |
High |
67 ( 94.52) |
Reduced |
0 (0.00) |
pCO2 (35 to 45 mmHg) |
|
Median in mmHg |
35.70 |
Normal |
91 (52.29) |
High |
16 (9.19) |
Reduced |
67 (35.50) |
=
pO2 (83 to=
108
mmHg) |
|
Median in mmHg |
65.15 |
Normal |
39 (22.41) |
High |
15 (8.62) |
Reduced |
120 (69.00) |
<=
span
style=3D'font-size:12.0pt;font-family:"Times New Roman",serif'>Bicarbonat=
e (21 - 28 =
Mol/L) |
|
Median in Mol/L<= o:p> |
23.05 |
Normal |
121 (69.54) |
High |
8 (4.59) |
Reduced |
45 (26.00) |
pH (7.32 to 7.43) |
|
Median |
7.42 |
Normal |
137 (79.65) |
High |
23 (13.37) |
Reduced |
12 (7.00) |
Source:
the authors
DISCUSSION
Patients
with COVID-19 included in this research had a <=
span
class=3DSpellE>mean age of 57.13 years, with a =
predominance
of males (54.15%). The analysis of the demographic
patients diagnosed profile with COVID-19 in a p=
ublic reference hospital in the city=
span> of
Fortaleza, Ceará, Brazil, revealed that most pa=
tients
were male, aged between 36 and 60 years11<=
/sup>.
A retrospective study in 1335 patients hospitalized
for COVID-19 in London, England indicated the <=
span
class=3DSpellE>mean age was 70 years and 56% were men12. A
survey conducted in Scotland found that the
A study that determined fact= ors associated with risk or protection for COVID-19= in southern Brazil showed th= at the prevalence of hospitalization for COVID-19 is lower for fema= les. The authors suggest= that biological differences be= tween men and women should reflect distinct immune responses, impacting the course of the disease14. Individual genetic susceptibility an= d environmental influences = on virus infection should also be c= onsidered, which can result in= different clinical phenotypes between populations and countries15<= o:p>
According
to the Ministry of Health, fever,
cough, dyspnea, myalgia and fatigue are considered the most common signs=
and symptoms in COVID-1916. In the population studied, there=
was a predominance of dyspnea, =
cough,
and fever. Liu et al., des=
cribed
that fever, cough, and fatigue were the most prevalent symptoms in cas=
es of hospitalization for COVID-19. In the study by Teich et al., the most common clinical manifestations=
in
patients hospitalized for COVID-19 were headache, cough, and nasal congestion4. Variations
in clinical manifestations are due, among other proper=
ties,
to differences in age, mor=
bidity,
social and cultural conditions, and health care=
. Identifying the main clin=
ical
characteristics of patients infected with SARS-=
CoV-2 may contribute to the man=
agement
of the disease18
The
most frequent comorbidities were systemic
arterial hypertension and diabetes mellitus, corroborating previous st=
udies4,12,13.
The presence of comorbidit=
ies
is associated with the development of severe CO=
VID-19
and a higher risk of death9,14,19.
SARS-CoV-2 infection is triggered when the S pr=
otein
of the virus binds to the angiotensin-2 converting enzyme (ACE2),=
resulting in an accumulation of angiotensin 2 and a reduction of angiotensin 1-7.
The
role of angiotensin 2 in COVID-19 hypertensive
patients seems to be crucial because
it promotes vasoconstriction, sodium
retention, oxidative
stress, inflammation and f=
ibrosis,
compromising the arterial pressure regulation20.
ACE2 expression is increased in patients with t=
ype 2
diabetes mellitus. This up=
regulation
is associated with chronic inflammation,
activation of endothelial<=
/span> cells and insulin resistance which aggravates the inflammatory
response and leads to alveolar-capillary barrier dysfunction. COVI=
D-19 is
a systemic infection with a significant impact =
on the
hematopoietic system and h=
emostasis.
Among
the hematological alterati=
ons,
lymphopenia can be =
considered an important
laboratory finding, with r=
elevance
for the prognosis of the disease. Most (73%) of the patients analyzed had lymphopenia,=
as described in previous stu=
dies4,23,24,25.
Individuals with severe or critical
COVID-19 have a lower lymp=
hocyte
count compared to patients with non-severe dise=
ase9,21.
The
case-control study by Pan et al. identified tha=
t lymphopenia was an independent=
span>
factor associated with mortality in individuals=
with
severe COVID-19. The reduction in lymphocyte
count may result from viral binding=
to cells with subsequent
The
analysis of laboratory tests revealed an increa=
se in PCR
levels in 97.04% of cases. Among the markers re=
lated
to the response to the acute-phase inflammatory=
reaction, PCR is the most sensit=
ive,
but with low specificity=
span>.
The protein activates the =
complement
system through the classical pathway,
initiates opsonization,
promotes chemotaxis and, f=
inally,
stimulates the processes of phagocytosis
and lysis of antigens26. A frequency of 88% of Iranian patients admitted
to a referral hospital for COVID-19 had elevated PCR levels25. A study conducted in a hospital in São Paulo – SP, observed that 93% of patients ho=
spitalized
for COVID-19 had increased PCR. In patients with COVID-19 admitted
to a hospital in Wuhan, China, increased PCR levels were associated with greater disease severity, the hi=
ghest
mean values were observed<=
/span>
in the progression phase of the infection.
Another
laboratory alteration obse=
rved
was the reduction in pO2 levels, this
finding was also described=
in other studies8,23. A multicenter cohort study including hospitals in Europe
and the United States found that, among other <=
span
class=3DSpellE>factors, a reduction in O=
2 saturation levels ≤ 93% was associated with
Another
laboratory alteration obse=
rved
was the reduction in pO2 levels, this
finding was also described=
in other studies8,23. A multicenter
cohort study including hospitals in Europe and the United States
found that, among other factors, a reduction in O2 saturation levels
≤ 93% was associated with higher mortalit=
y from
COVID-1927. The main
clinical manifestation presented by the studied patients was dyspnea,
which can be explained by
the frequent observation of a reduction
in pO2. Monitoring hypoxem=
ia
in these patients is essen=
tial
for decision-making, guiding treatment and evaluating both the prognosis of the infection28=
.
The
present study has s=
ome limitations, such as incomplete information in=
some
medical records, especially lactic
dehydrogenase data, which were not available for most patients. it is worth highlighting that limitation is
frequent in retrospective studies that use medical records. Future studies
including other laboratory tests should be carr=
ied
out in order to contribute=
to a better understanding<=
/span>
of COVID-19.
CONCLUSIONS
The
data presented allowed us<=
/span>
to define the clinical and laboratory profile of patients hospitalized
for COVID-19 in the southern region
of Mato Grosso. The most frequent clinical manifestati=
on
was dyspnea and systemic=
span>
arterial hypertension was the most prevalent comorbidity. Lymphopenia, elevated PCR=
, lactic dehydrogenase and =
reduced
pO2 were the laboratory alterations observed. These results <=
span
class=3DSpellE>may contribute to a better understanding of t=
he epidemiology of COVID-19.
REFERENCES
1. Hamid S, Mir MY, Rohela G=
K. Novel
coronavirus disease (COVID-19): a pandemic (epidemiolo=
gy,
pathogenesis and potential therapeutics).
New Microb. New Infect. 2020; 35:100679.
2.
Organização Mundial de Saúde. Folha informativa – COVID-19 (doença causada =
pelo
novo coronavírus). Disponível em:
https://www.paho.org/bra/index.php?option=3Dcom_content&view=3Darticle&=
amp;id=3D6101:covid19&Itemid=3D875
3. Xu
X, Wu XX, Jiang XG. et al. Clinical findings in=
a group of patients infected with
the 2019 novel coronavirus (SARS-Cov-2) outside=
of
Wuhan, China: retrospective case series. BMJ 2020; 368:m606.
4. Teich VD, Klajner S, Alme= ida FAS, et al. Características epidemiológicas e clínicas dos pacientes com COVID-1= 9 no Brasil. Einstein. 2020; 18: 1-7. <= o:p>
5. Cespedes MS, Souza JCRP. Sars-CoV-2: A clinical update - II. Rev. Assoc. Med. Bras. 2020; 66 (4): 547=
-557.
6. Lippi G, Sanchis-gomar F,=
Brandon
M, Henry BM. COVID-19: unravelling the clinical=
progression of nature’s <=
span
class=3DSpellE>virtually perfect biological weapon. Ann Transl Med, v. 8, n. 11, p. 1-6, 2020.
7. Iser BPM, Silva I, Raymundo VT, =
Poleto
MB, Schuelter-Trevisol F, =
Bobinski
F. Definição de caso suspeito da COVID-19: uma revisão narrativa dos sinais=
e
sintomas mais frequentes entre os casos confirmados. Epidemiol. Serv. Saúde.
2020; 29 (3): e2020233.
8.
Pan F, Yang L, Li Y, et al. Factors associated with death outcome
in patients with severe coronavirus disease-19 (COVID-19): a case-control study. Int. J.
Med. Sciences, 2020; 17 (9): 1281-92.
9.
Gao Y, Ding M, Dong=
X, et
al. Risk factors for severe and critically
ill COVID-19 patients: A review. Allergy,
2021; 76: 428–455.
10. Tjendra Y, Al Mana AF, Espejo AP.
Predicting Disease Severity and Outcome in COVI=
D-19
Patients. Arch Pathol Lab Med. 2020; 144; 1465-74.
11. Rebouças
ERN, Costa RF, Miranda LR, Campos NG. Perfil demográfico e clínico de pacie=
ntes
com diagnóstico de COVID-19 em um hospital público de referência na cidade =
de
Fortaleza-Ceará. J. Health Biol Sci. 2020; 8 (1): 1-5.
12. Zakeri R, Picklesc A,
13. Hetherington L, Johnston B, Kotr=
onoulas
G, Finlay F, Keeley=
P, McKeown A. C=
OVID-19
and Hospital Palliative Care - A service evaluation ex=
ploring
the symptoms and outcomes of 186 patients and t=
he impact
of the pandemic on specialist Hospital Palliati=
ve
Care. Palliat. Med. 2020; 34 (9): 1256–62.
14. Klokner SGM, Luz RA, Araujo PHM, et al. Perfil
epidemiológico e preditores de fatores de risco para a COVID-19 na região s=
ul do
Brasil. Res. Soc. Develop. 2021; 10 (3): e17710=
313197.
15. Gemmati D, Bramanti B, Serino ML, P Secchiero P,=
Zauli G, Tisato V. COVID-=
19 and
Individual Genetic Suscept=
ibility/Receptivity: Role of ACE1/ACE2 Genes, Immunity, Inflammation and Coagulation. Might the Double X-Chromosome in Females Be Protective aga=
inst
SARS-CoV-2 Compared to the Single X-Chromosome =
in
Males? Int. J. Mol. Sci. 2020; 21: 3474.
16.
Brasil. Ministério da Saúde. Protocolo de Manejo Clínico para o Novo
Coronavírus (2019-nCoV). Brasília, DF, 2020.
17.
Liu Y, Mao B, Liang S, et al. Association between age and clinical
characteristics and outcomes of COVID-19. Eur Respir=
span>
J. 2020; 55: 2001112
18. Santos
PSA, Mateus SRM, Silva MFO, Figueiredo PTS, Campolino<=
/span>
RG. Perfil epidemiológico da mortalidade de pacientes internados por Covid-=
19
na unidade de terapia intensiva de um hospital universitário. Braz. J. Develop. 2021; (7): 5: 45981-92. 19.
Galvão, MHR , Roncalli AG. Fatores associados a=
maior
risco de ocorrência de óbito por COVID-19: análise de sobrevivência com bas=
e em
casos confirmados. Rev Bras Epidemiol. 2020; 23: E200106. 20. Morbio AP, Fonseca Filho PR. Comorbidades e os achados
radiográficos em pacientes com COVID-19. J. Health NPEPS. 2021 jan-jul;
6(1):e5510. 21.
Fleury MK. A COVID-19 e o laboratório de hematologia: uma revisão da litera=
tura
recente. RBAC. 2020; 52 (2): 131-7 22.
Careli GZ. Alterações laboratoriai=
s em
pacientes com COVID-19. Res. Soc. Develop. 2020=
; 9 (12):
e30191211115. 23. Zhang
B, Zhang J, Chen H, et al. Novel coronavirus disease 2019 (COVID-19): relationship between chest CT
scores and laboratory parameters. Europ.
J. Nuc. Med. Mol. Imag.
2020; 47: 2083–89. 24.
Wang F, Nie J, Wang H, et al. Characteristics of Perip=
heral
Lymphocyte Subset <=
span
class=3DSpellE>Alteration in COVID-19 Pneumonia. J Infect Dis. 2020. 11; 221 (11): 1762-69.
25. Rokni M, Ahmadikia K,
26. Junior
RB, Lourenço PM. Alterações laboratoriais e a COVID-19. RBAC. 2020; 52(2):1=
98-200.
27. Bertsimas D, Lukin G,
28. Dhont S, Derom E, Braeckel EV, Depuydt P, <=
span
class=3DSpellE>Lambrecht BN. The pathophysiology of ‘happy’
hypoxemia in COVID-19. Resp. Res. 2020. 21 (198=
):
1-9.
Submission: 2021-08-23
Approval: 2021-10-26
[2]=
Secretaria Municipal de Saúde=
de
Rondonópolis. E-mail: kassilaenf@=
hotmail.com
– Orcid: https://orcid.org/0000-0003-=
1789-7881