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Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in
Post Covid Patients
R. C. Patel Institute of Pharmaceutical Education and Research
2
Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in
Post Covid Patients
Presented by :
Jagruti .N. Marathe
Clinical Department
M.Pharm IVth Sem
Guided by:
Mrs. Hemakshi. E. Chaudhari
Assistant Professor
Department of Clinical Pharmacy
R. C. Patel Institute of Pharmaceutical Education and Research
HOD: Dr Savita Patil
Content
3
 Introduction
 Background
 Burden of COVID 19
 Need of the study
 Rationale of the study
 Review of literature
 Epidemiology
 Hypothesis
 Aim and objective
 Material and Method
 Criteria
 Study design
 Outcome
 Result
 Analysis
 Discussion
Introduction
 Coronavirus are a large family of viruses that causes illness ranging from the common cold to
more serve disease such as middle east respiratory syndrome(MERS-COV) and sever acute
respiratory syndrome (SARS-COV).
 A novel corona virus (nCOV) is a new strain that has not been previously identified in
humans.
 SARS-CoV-2 belongs to the Single Standing RNA Viruses class of coronaviruses, but the
infection had been rapidly spreading around the world and World Health Organization (WHO)
declared a pandemic .
4
Background
○ According to A recent report of in Indian Express 20 March2021
showed that about 80 percent of the participants had major
complaints of fatigue (similar to post-SARS fatigue) and the rest, a
small percentage had critical manifestations such as lung fibrosis,
kidney failure, myocarditis and stroke.
○ Therefore, further investigations are needed to detect the exact
mechanisms of pathogenesis.
○ Hence this study aims to add onto the ever-emerging landscape of
medical knowledge on COVID-19, encapsulating its multiorgan
impact in post Covid patients. 5
Burden of Covid-19
 The coronavirus (COVID-19) is spreading rapidly across the country but testing regime of India
is far from the global standards.
 It is important to identify the states where testing needs expansion and the magnitudes of active
COVID cases are higher focusing on current health infrastructure to meet the pandemic.
 The data on COVID-19 was extracted from the Application Programming Interface.
 Test positive rate, test per confirmed case, recovery rate, case fatality rate, and percent
distribution of active cases were computed.
6
7
8
9
https://www.worldometers.info/coronavirus/?fbclid=IwAR3
5ZFiRZJ8tyBCwazX2N
-k7yJjZOLDQiZSA_MsJAfdK74s8f2a_Dgx4iVk
Need of the study
 COVID-19 patients can suffer long-term multi organ effects. The findings of this study show
the importance of implementing structured follow-up care for patients suffered from COVID-
19 infection.
10
11
11
Endocrine
complication
Renal
complication
Lung
complication
Cardiac
complication
The pulmonary pathobiology of Covid-19 from that of equally severe influenza virus
infection.
cardiac cases showed higher rates of organ failure and mortality than non-cardiac
cases. Hence need more supervision
patients with AKI during severe SARS-CoV-2 infection is higher death rate reported
COVID-19 patients with CKD presented high incidence of neutrophilia, poor prognosis and in-
hospital death
ICU cases showed higher rates of organ failure and mortality than non-ICU cases.
Hence need more supervision
Review of literature
12
Hypothesis
13
Long term lung disturbances occurs in post covid patients due to SARS CoV 2 infection
14
Timeline
15
SEP
AUG
JUL
JUN
MAY
APR
MAR
FEB
Dec-
JAN
NOv
OCT
SEP
Collection of data Review writting
Ethical committee
approval
Research work
Thesis writting
Thesis printing
Making plain for
research work
Progress Seminar Thesis correction
submission
16
Aim:
Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in Post Covid Patients
Objectives
This study will help to…
Conduct the longitudinal study to assess the health status of the COVID-19 recovered patient
Generate the validated data on Possible influence of COVID-19 to cause multiorgan damage
Conduct Follow-up survey of COVID-19 recovered patients will be helpful to evaluate any
changes in the other organs in human systems
Conduct Follow-up study will be useful to design a possible vaccine for this dreadful infection.
Report Recommendation for COVID-19 recovered patients
17
18
Criteria Particulars
Research Method Experimental method
Study Site Indira Gandhi Memorial Hospital, Shirpur, Dist.-Dhule, Maharashtra
Study Type Case Control, Observational, Non Interventional, Comparative Study
Study Subjects Post Covid and Normal Patients
Sample Size 200
Sample Volume 2 ml(blood sample)
Duration of study 1 year
Study Parameters Demographic Parameters, Anthropometric
Parameters, Socioeconomic Parameters
Name, Age, Weight, Height, Sex, Gender,
Occupation, Past Medical History
Lung Function FVC , FEV, FEV/FVC, PEF, FEF25-75
Liver Function LDH-p
Cardiac Function CK-MB
Kidney Function CRE
Inflammation CRP
19
Instrument Required:
Lung Function Test: Software based Ultrasonic Flow Meter (Easy on
Spirometer)
Hematological parameters : Hematological Autoanalyzer
Other parameters : Microplate reader, Microplate
20
○ INCLUSION CRITERIA
 Post covid 19 patients .
 Normal patients .
 Patients with associated disease like , Heart disease, Kidney
disease , Lung disease , Endocrine disease . .
○ EXCLUSION CRITERIA
 Small children
 Pregnant women
 Old people(more than 70)
 Patients associated with untreatable disease like cancer,
HIV
21
Normal of Population Post COVID -19popolation
Socioeconomic
Demographic
Anthropometric Anthropometric
Demographic
Socioeconomic
Collection of Blood
Lung function test
P
A
R
A
M
E
T
E
R
P
A
R
A
M
E
T
E
R
Collection of Blood
Lung function test
Study design and out come
22
Normal polulation
CRE
LDH-P
CK-MB
CRP
Lung function test
Post Covid-19 polulation
CRE
LDH-P
CK-MB
CRP
Lung function test
Vs
23
24
Paramet
er
Low Mid High
CRE
LDH-P
CK-MB
CRP
24
25
N
o
r
m
a
l
P
o
p
u
l
a
t
i
o
n
P
o
s
t
-
C
o
v
i
d
-
1
9
p
o
p
u
l
a
t
i
o
n
0
10
20
30
40
CK-MB
Normal Population
Post-Covid-19 population
Graph:2 table Analyzed of (CK-MB) Column A
(Normal Population)vs Column B (Post-Covid-19
Population) unpaired t-test Value=<0.0001 significant,
t=4.845 df=214, Mean of column A=18.69 and mean of
column B=26.76, difference between means(B-
A)±SEM8.068±0.0220095%confidence interval 0.2645 to
0.3512 R squared(eta squared) 0.4779
CK-MB in the Control Group and Post-Covid-19 Patients The CK-MB biomarker patients with post
COVID-19 in elements of direct infection of myocardial injury, specific binding to functional receptors
and cardiomyocytes, and immune-mediated myocardial injury in post-Conid-19 patients.. During
hospitalisation, laboratory myocardial damage markers should be monitored more closely in post-
COVID-19 patients
26
LDH-P
Norm
al Population
Post Covid
19 population
0
100
200
300
400
LDH-P
Graph:3 table Analyzed of LDH-P) Column A (Normal
Population)vs Column B (Post-Covid-19 Population)
unpaired t-test Value=<0.0001 significant, t=9.366
df=214, Mean of column A=174.8and mean of column
B=236.7, difference between means(B-
A)±SEM61.96±6.615 95%confidence interval 48.92 to
75.00 R squared(eta squared) 0.2908,
F, DFn, Dfd=4.750,101,110
LDH-P in Normal Population and Post-Covid-19 patients. In the case of post-Conid-19 patients, the
LDH-P biomarker patients with post COVID-19 in aspects of Lactate dehydrogenase (LDH) is one such
biomarker of interest, especially since elevated LDH levels have been associated with worse outcomes
in patients with other viral infections in the past
27
Norm
al Polulation
Post-Covid
Population
0.0
0.5
1.0
1.5
2.0
CRE
Graph:4 table Analyzed of (CRE) Column A (Normal
Population)vs Column B (Post-Covid-19 Population)
unpaired t-test Value=<0.0001 significant, t=13.50
df=214, Mean of column A=0.8011and mean of column
B=1.367, difference between means(B-
A)±SEM0.5662±0.04195 95%confidence interval 0.4835
to 0.6488 R squared(eta squared) 0.4598,
F, DFn, Dfd=6.750,101,110
CRE in Normal Population and Post-Covid-19 patients. In the case of post-Conid-19 patients, the CRE
biomarker increases it shows patients with post COVID-19 high risk of renal disorder.
28
N
orm
al
P
ost C
O
VID
-19
0
1
2
3
4
FVC
Normal
Post COVID-19 Graph:5 table Analyzed of (FVC) Column A (Normal
Population)vs Column B (Post-Covid-19 Population) unpaired t-
test Value=<0.0001 significant, t=8.833 df=214, Mean of
column A=2.147and mean of column B=2.843, difference
between means(B-A)±SEM0.6960±0.07880 95%confidence
interval 0.5407 to 0.8513 R squared(eta squared) 0.2672,
F, DFn, Dfd=1.055,101,110
29
N
o
r
m
a
l
P
o
s
t
C
O
V
I
D
-
1
9
0
1
2
3
FEV1
Graph:7 table Analyzed of FEV1 Column A (Normal Population)vs
Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001
significant, t=12.47 df=214, Mean of column A=1.754 and mean of
column B=2.251, difference between means(B-A)±SEM0.469±0.03986
95%confidence interval 0.4183 to 0.5735 R squared(eta squared)
0.4207,
F, DFn, Dfd=1.111,101,110
30
N
orm
al P
opulation
P
ost-C
ovid-19
population
0.0
0.5
1.0
1.5
FEV1/FVC
Normal Population
Post-Covid-19 population Graph:6 table Analyzed of FEV1/FVC Column A (Normal
Population)vs Column B (Post-Covid-19 Population) unpaired t-
test Value=<0.0001 significant, t=2.159 df=214, Mean of
column A=0.8427and mean of column B=0.9073, difference
between means(B-A)±SEM0.6463±0.02994 95%confidence
interval 0.005612 to 0.1236 R squared(eta squared) 0.02131,
F, DFn, Dfd=7.671,101,110
FEV1/FVC suggests that the lungs are the organ most affected by COVID-193 with different
pathophysiological events that include diffuse alveolar epithelium destruction, hyaline membrane
formation, capillary damage and bleeding, alveolar septal fibrous proliferation, and pulmonary
consolidation. Post-infection COVID-19 patients showed impaired lung function; the most important of the
pulmonary function tests affected was the diffusion capacity
31
N
o
r
m
a
l
p
o
p
o
l
a
t
i
o
n
P
o
s
t
C
O
V
I
D
-
1
9
0
5
10
15
FEF25-75[l/s]
Normal popolation
Post COVID-19
Graph: table Analyzed of FEF25-75(L/s) Column A
(Normal Population)vs Column B (Post-Covid-19
Population) unpaired t-test Value=<0.0001 significant,
t=22.46 df=214, Mean of column A=6.383 and mean of
column B=10.50, difference between means(B-
A)±SEM04.113±0.1831 95%confidence interval 3.752 to
4.474 R squared(eta squared) 0.7022,
F, DFn, Dfd=1.003,101,110
32
N
orm
al P
opulation
P
ost-C
ovid-19
population
0
1
2
3
4
5
PEF[L/s]
Normal Population
Post-Covid-19 population Graph:7 table Analyzed of (PEF) Column A (Normal
Population) vs Column B (Post-Covid-19 Population)
unpaired t-test Value=<0.0001 significant, t=3.911 df=214,
Mean of column A=3.745and mean of column B=3.225,
difference between means(B-A)±SEM-
0.5203±0.133095%confidence interval -0.07825 to -0.2580
R squared(eta squared) 0.06670,
F, DFn, Dfd=1.376,101,110
The suggested pathogenic mechanism proposes that COVID-19 causes first damage, similar to SARS, as a
result of a microvascular injury with initial interstitial thickening and clean lungs on radiological tests, as
well as significant hypoxaemia.
33
N
o
r
m
a
l
p
o
p
o
l
a
t
i
o
n
P
o
s
t
C
O
V
I
D
-
1
9
0
1
2
3
4
5
FET
Normal popolation
Post COVID-19
Graph:7 table Analyzed of (PEF) Column A (Normal
Population) vs Column B (Post-Covid-19 Population)
unpaired t-test Value=<0.0001 significant, t=8.833
df=214, Mean of column A=2.147and mean of column
B=2.843, difference between means(B-A)±SEM-
0.6960±0.07880%confidence interval -0.5407 to -0.8513
R squared(eta squared) 0.2672,
F, DFn, Dfd=1.055,104,110
Analysis
34
Discussion
35
23 high quality retrospective studies systematically evaluated the risk of severe
disease, ICU admission, or death associated with COVID-19-related cardiac injury
performance. Their findings are as follows:
(1) COVID-19 patients with elevated TnF alpha levels are at significantly higher risk
of developing severe disease, requiring ICU admission, or death;
(2) elevated CK, CK-MB, LDH, and IL-6 levels and emerging arrhythmia are
associated with the development of severe disease or requirement for ICU admission;
and mortality rates are significantly higher among patients with elevated LDH and IL-
6 levels.
36
Post-infection COVID-19 patients showed altered respiratory function. The most important of the PFTs
affected was the diffusion capacity in close to 40% of patients. The results of PFTs must be analysed with
caution and considering the respiratory comorbidities and the possible impairment generated by smoking and
air pollution. Well-designed studies conducted in post-COVID-19 infection patients, taking into consideration
the infection severity and based on the pulmonary function guidelines are required.
Future research should be focused on the characterisation of short and long-term respiratory function sequelae
to optimise the decision-making in clinical practice. The data collected to date in this systematic review could
be a useful starting point for further studies. of 69%. The incidence of LDH was associated with presence of
diabetes, this phenomenon might be due to reduced glycogen synthesis, change in glucose
37
These mechanisms because elevated lactate in patients with insulin resistance compared with those without.
LDH has been found to affect the prognosis of various diseases, including cancers.32 LDH elevation in
patients with COVID-19 indicates lung and tissue injuries.19 COVID-19 may lead to inadequate tissue
perfusion and multiple organ failure due to various mechanisms, including thrombosis, which lead to LDH
elevation. Thus, high LDH serves as a biomarker of the disease extent
. But in present study we have actually performed these all parameters in post covid patients and tried to find
the impact of SAARS Cov 2 on different organs. This study has generated the data on organ function due to
Covid 19.
The care should be taken at lea t for 1 year after covid 19 to prevent relaps of this infection further.
Outcome
 This study has generated the systematic data on……….
 Comparison of lung pattern alteration between post COVID 19 patients and normal patients
 Level of CRP, LDH, Creatinine Kinase, Creatinine, and Complete Blood Count in Post-Covid
Patients.
 Long term hazards of Sars Cov-2 in Post-covid patients
 Impact of Saars-Cov2 on Lung, Heart, Liver Blood and Kidney.
 Levels of FVC FEV PEF FEF in post covid patients compared with normal
38
39
• Cui J, Li F, Shi ZL. Origin and evolution of pathogenic coronaviruses. Nature Reviews Microbiology. 2019 Mar;17(3):181-92.
• World Health Organization. Coronavirus disease 2019 (COVID-19): situation report, 82.
• De Wit E, Van Doremalen N, Falzarano D, Munster VJ. SARS and MERS: recent insights into emerging coronaviruses. Nature
Reviews Microbiology. 2016 Aug;14(8):523.
• Wu F., Zhao S., Yu B., Chen Y.M., Wang W., Song Z.G., Hu Y., Tao Z.W., Tian J.H., Pei Y.Y., et al. A new coronavirus
associated with human respiratory disease in China. Nature. 2020;579:265–269. doi: 10.1038/s41586-020-2008-3.
• Hui D.S., Azhar E.I., Madani T.A., Ntoumi F., Kock R., Dar O., Ippolito G., McHugh T.D., Memish Z.A., Drosten C., et al. The
continuing 2019-nCoV epidemic threat of novel coronaviruses to global health–The latest 2019 novel coronavirus outbreak in
Wuhan, China. Int. J. Infect. Dis. 2020;91:264–266. doi: 10.1016/j.ijid.2020.01.009.
• Chowell G., Mizumoto K. The COVID-19 pandemic in the USA: What might we expect? Lancet. 2020;395:1093–1094. doi:
10.1016/S0140-6736(20)30743-1
40
• Ghinai I., McPherson T.D., Hunter J.C., Kirking H.L., Christiansen D., Joshi K., Rubin R., Morales-Estrada S., Black S.R.,
Pacilli M., et al. First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) in the USA. Lancet. 2020;395:1137–1144. doi: 10.1016/S0140-6736(20)30607-3
• Mousavizadeh L., Ghasemi S. Genotype and phenotype of COVID-19: Their roles in pathogenesis. J. Microbiol. Immunol.
Infect. 2020 doi: 10.1016/j.jmii.2020.03.022.
41

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Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in Post Covid Patients

  • 1. 1 Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in Post Covid Patients R. C. Patel Institute of Pharmaceutical Education and Research
  • 2. 2 Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in Post Covid Patients Presented by : Jagruti .N. Marathe Clinical Department M.Pharm IVth Sem Guided by: Mrs. Hemakshi. E. Chaudhari Assistant Professor Department of Clinical Pharmacy R. C. Patel Institute of Pharmaceutical Education and Research HOD: Dr Savita Patil
  • 3. Content 3  Introduction  Background  Burden of COVID 19  Need of the study  Rationale of the study  Review of literature  Epidemiology  Hypothesis  Aim and objective  Material and Method  Criteria  Study design  Outcome  Result  Analysis  Discussion
  • 4. Introduction  Coronavirus are a large family of viruses that causes illness ranging from the common cold to more serve disease such as middle east respiratory syndrome(MERS-COV) and sever acute respiratory syndrome (SARS-COV).  A novel corona virus (nCOV) is a new strain that has not been previously identified in humans.  SARS-CoV-2 belongs to the Single Standing RNA Viruses class of coronaviruses, but the infection had been rapidly spreading around the world and World Health Organization (WHO) declared a pandemic . 4
  • 5. Background ○ According to A recent report of in Indian Express 20 March2021 showed that about 80 percent of the participants had major complaints of fatigue (similar to post-SARS fatigue) and the rest, a small percentage had critical manifestations such as lung fibrosis, kidney failure, myocarditis and stroke. ○ Therefore, further investigations are needed to detect the exact mechanisms of pathogenesis. ○ Hence this study aims to add onto the ever-emerging landscape of medical knowledge on COVID-19, encapsulating its multiorgan impact in post Covid patients. 5
  • 6. Burden of Covid-19  The coronavirus (COVID-19) is spreading rapidly across the country but testing regime of India is far from the global standards.  It is important to identify the states where testing needs expansion and the magnitudes of active COVID cases are higher focusing on current health infrastructure to meet the pandemic.  The data on COVID-19 was extracted from the Application Programming Interface.  Test positive rate, test per confirmed case, recovery rate, case fatality rate, and percent distribution of active cases were computed. 6
  • 7. 7
  • 8. 8
  • 10. Need of the study  COVID-19 patients can suffer long-term multi organ effects. The findings of this study show the importance of implementing structured follow-up care for patients suffered from COVID- 19 infection. 10
  • 11. 11 11 Endocrine complication Renal complication Lung complication Cardiac complication The pulmonary pathobiology of Covid-19 from that of equally severe influenza virus infection. cardiac cases showed higher rates of organ failure and mortality than non-cardiac cases. Hence need more supervision patients with AKI during severe SARS-CoV-2 infection is higher death rate reported COVID-19 patients with CKD presented high incidence of neutrophilia, poor prognosis and in- hospital death ICU cases showed higher rates of organ failure and mortality than non-ICU cases. Hence need more supervision Review of literature
  • 12. 12
  • 13. Hypothesis 13 Long term lung disturbances occurs in post covid patients due to SARS CoV 2 infection
  • 14. 14
  • 15. Timeline 15 SEP AUG JUL JUN MAY APR MAR FEB Dec- JAN NOv OCT SEP Collection of data Review writting Ethical committee approval Research work Thesis writting Thesis printing Making plain for research work Progress Seminar Thesis correction submission
  • 16. 16
  • 17. Aim: Investigation of Long term Hazards and Multi organ Impact of SARS COV-2 in Post Covid Patients Objectives This study will help to… Conduct the longitudinal study to assess the health status of the COVID-19 recovered patient Generate the validated data on Possible influence of COVID-19 to cause multiorgan damage Conduct Follow-up survey of COVID-19 recovered patients will be helpful to evaluate any changes in the other organs in human systems Conduct Follow-up study will be useful to design a possible vaccine for this dreadful infection. Report Recommendation for COVID-19 recovered patients 17
  • 18. 18 Criteria Particulars Research Method Experimental method Study Site Indira Gandhi Memorial Hospital, Shirpur, Dist.-Dhule, Maharashtra Study Type Case Control, Observational, Non Interventional, Comparative Study Study Subjects Post Covid and Normal Patients Sample Size 200 Sample Volume 2 ml(blood sample) Duration of study 1 year Study Parameters Demographic Parameters, Anthropometric Parameters, Socioeconomic Parameters Name, Age, Weight, Height, Sex, Gender, Occupation, Past Medical History Lung Function FVC , FEV, FEV/FVC, PEF, FEF25-75 Liver Function LDH-p Cardiac Function CK-MB Kidney Function CRE Inflammation CRP
  • 19. 19 Instrument Required: Lung Function Test: Software based Ultrasonic Flow Meter (Easy on Spirometer) Hematological parameters : Hematological Autoanalyzer Other parameters : Microplate reader, Microplate
  • 20. 20 ○ INCLUSION CRITERIA  Post covid 19 patients .  Normal patients .  Patients with associated disease like , Heart disease, Kidney disease , Lung disease , Endocrine disease . . ○ EXCLUSION CRITERIA  Small children  Pregnant women  Old people(more than 70)  Patients associated with untreatable disease like cancer, HIV
  • 21. 21 Normal of Population Post COVID -19popolation Socioeconomic Demographic Anthropometric Anthropometric Demographic Socioeconomic Collection of Blood Lung function test P A R A M E T E R P A R A M E T E R Collection of Blood Lung function test Study design and out come
  • 22. 22 Normal polulation CRE LDH-P CK-MB CRP Lung function test Post Covid-19 polulation CRE LDH-P CK-MB CRP Lung function test Vs
  • 23. 23
  • 25. 25 N o r m a l P o p u l a t i o n P o s t - C o v i d - 1 9 p o p u l a t i o n 0 10 20 30 40 CK-MB Normal Population Post-Covid-19 population Graph:2 table Analyzed of (CK-MB) Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=4.845 df=214, Mean of column A=18.69 and mean of column B=26.76, difference between means(B- A)±SEM8.068±0.0220095%confidence interval 0.2645 to 0.3512 R squared(eta squared) 0.4779 CK-MB in the Control Group and Post-Covid-19 Patients The CK-MB biomarker patients with post COVID-19 in elements of direct infection of myocardial injury, specific binding to functional receptors and cardiomyocytes, and immune-mediated myocardial injury in post-Conid-19 patients.. During hospitalisation, laboratory myocardial damage markers should be monitored more closely in post- COVID-19 patients
  • 26. 26 LDH-P Norm al Population Post Covid 19 population 0 100 200 300 400 LDH-P Graph:3 table Analyzed of LDH-P) Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=9.366 df=214, Mean of column A=174.8and mean of column B=236.7, difference between means(B- A)±SEM61.96±6.615 95%confidence interval 48.92 to 75.00 R squared(eta squared) 0.2908, F, DFn, Dfd=4.750,101,110 LDH-P in Normal Population and Post-Covid-19 patients. In the case of post-Conid-19 patients, the LDH-P biomarker patients with post COVID-19 in aspects of Lactate dehydrogenase (LDH) is one such biomarker of interest, especially since elevated LDH levels have been associated with worse outcomes in patients with other viral infections in the past
  • 27. 27 Norm al Polulation Post-Covid Population 0.0 0.5 1.0 1.5 2.0 CRE Graph:4 table Analyzed of (CRE) Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=13.50 df=214, Mean of column A=0.8011and mean of column B=1.367, difference between means(B- A)±SEM0.5662±0.04195 95%confidence interval 0.4835 to 0.6488 R squared(eta squared) 0.4598, F, DFn, Dfd=6.750,101,110 CRE in Normal Population and Post-Covid-19 patients. In the case of post-Conid-19 patients, the CRE biomarker increases it shows patients with post COVID-19 high risk of renal disorder.
  • 28. 28 N orm al P ost C O VID -19 0 1 2 3 4 FVC Normal Post COVID-19 Graph:5 table Analyzed of (FVC) Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t- test Value=<0.0001 significant, t=8.833 df=214, Mean of column A=2.147and mean of column B=2.843, difference between means(B-A)±SEM0.6960±0.07880 95%confidence interval 0.5407 to 0.8513 R squared(eta squared) 0.2672, F, DFn, Dfd=1.055,101,110
  • 29. 29 N o r m a l P o s t C O V I D - 1 9 0 1 2 3 FEV1 Graph:7 table Analyzed of FEV1 Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=12.47 df=214, Mean of column A=1.754 and mean of column B=2.251, difference between means(B-A)±SEM0.469±0.03986 95%confidence interval 0.4183 to 0.5735 R squared(eta squared) 0.4207, F, DFn, Dfd=1.111,101,110
  • 30. 30 N orm al P opulation P ost-C ovid-19 population 0.0 0.5 1.0 1.5 FEV1/FVC Normal Population Post-Covid-19 population Graph:6 table Analyzed of FEV1/FVC Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t- test Value=<0.0001 significant, t=2.159 df=214, Mean of column A=0.8427and mean of column B=0.9073, difference between means(B-A)±SEM0.6463±0.02994 95%confidence interval 0.005612 to 0.1236 R squared(eta squared) 0.02131, F, DFn, Dfd=7.671,101,110 FEV1/FVC suggests that the lungs are the organ most affected by COVID-193 with different pathophysiological events that include diffuse alveolar epithelium destruction, hyaline membrane formation, capillary damage and bleeding, alveolar septal fibrous proliferation, and pulmonary consolidation. Post-infection COVID-19 patients showed impaired lung function; the most important of the pulmonary function tests affected was the diffusion capacity
  • 31. 31 N o r m a l p o p o l a t i o n P o s t C O V I D - 1 9 0 5 10 15 FEF25-75[l/s] Normal popolation Post COVID-19 Graph: table Analyzed of FEF25-75(L/s) Column A (Normal Population)vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=22.46 df=214, Mean of column A=6.383 and mean of column B=10.50, difference between means(B- A)±SEM04.113±0.1831 95%confidence interval 3.752 to 4.474 R squared(eta squared) 0.7022, F, DFn, Dfd=1.003,101,110
  • 32. 32 N orm al P opulation P ost-C ovid-19 population 0 1 2 3 4 5 PEF[L/s] Normal Population Post-Covid-19 population Graph:7 table Analyzed of (PEF) Column A (Normal Population) vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=3.911 df=214, Mean of column A=3.745and mean of column B=3.225, difference between means(B-A)±SEM- 0.5203±0.133095%confidence interval -0.07825 to -0.2580 R squared(eta squared) 0.06670, F, DFn, Dfd=1.376,101,110 The suggested pathogenic mechanism proposes that COVID-19 causes first damage, similar to SARS, as a result of a microvascular injury with initial interstitial thickening and clean lungs on radiological tests, as well as significant hypoxaemia.
  • 33. 33 N o r m a l p o p o l a t i o n P o s t C O V I D - 1 9 0 1 2 3 4 5 FET Normal popolation Post COVID-19 Graph:7 table Analyzed of (PEF) Column A (Normal Population) vs Column B (Post-Covid-19 Population) unpaired t-test Value=<0.0001 significant, t=8.833 df=214, Mean of column A=2.147and mean of column B=2.843, difference between means(B-A)±SEM- 0.6960±0.07880%confidence interval -0.5407 to -0.8513 R squared(eta squared) 0.2672, F, DFn, Dfd=1.055,104,110
  • 35. Discussion 35 23 high quality retrospective studies systematically evaluated the risk of severe disease, ICU admission, or death associated with COVID-19-related cardiac injury performance. Their findings are as follows: (1) COVID-19 patients with elevated TnF alpha levels are at significantly higher risk of developing severe disease, requiring ICU admission, or death; (2) elevated CK, CK-MB, LDH, and IL-6 levels and emerging arrhythmia are associated with the development of severe disease or requirement for ICU admission; and mortality rates are significantly higher among patients with elevated LDH and IL- 6 levels.
  • 36. 36 Post-infection COVID-19 patients showed altered respiratory function. The most important of the PFTs affected was the diffusion capacity in close to 40% of patients. The results of PFTs must be analysed with caution and considering the respiratory comorbidities and the possible impairment generated by smoking and air pollution. Well-designed studies conducted in post-COVID-19 infection patients, taking into consideration the infection severity and based on the pulmonary function guidelines are required. Future research should be focused on the characterisation of short and long-term respiratory function sequelae to optimise the decision-making in clinical practice. The data collected to date in this systematic review could be a useful starting point for further studies. of 69%. The incidence of LDH was associated with presence of diabetes, this phenomenon might be due to reduced glycogen synthesis, change in glucose
  • 37. 37 These mechanisms because elevated lactate in patients with insulin resistance compared with those without. LDH has been found to affect the prognosis of various diseases, including cancers.32 LDH elevation in patients with COVID-19 indicates lung and tissue injuries.19 COVID-19 may lead to inadequate tissue perfusion and multiple organ failure due to various mechanisms, including thrombosis, which lead to LDH elevation. Thus, high LDH serves as a biomarker of the disease extent . But in present study we have actually performed these all parameters in post covid patients and tried to find the impact of SAARS Cov 2 on different organs. This study has generated the data on organ function due to Covid 19. The care should be taken at lea t for 1 year after covid 19 to prevent relaps of this infection further.
  • 38. Outcome  This study has generated the systematic data on……….  Comparison of lung pattern alteration between post COVID 19 patients and normal patients  Level of CRP, LDH, Creatinine Kinase, Creatinine, and Complete Blood Count in Post-Covid Patients.  Long term hazards of Sars Cov-2 in Post-covid patients  Impact of Saars-Cov2 on Lung, Heart, Liver Blood and Kidney.  Levels of FVC FEV PEF FEF in post covid patients compared with normal 38
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  • 40. 40 • Ghinai I., McPherson T.D., Hunter J.C., Kirking H.L., Christiansen D., Joshi K., Rubin R., Morales-Estrada S., Black S.R., Pacilli M., et al. First known person-to-person transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2) in the USA. Lancet. 2020;395:1137–1144. doi: 10.1016/S0140-6736(20)30607-3 • Mousavizadeh L., Ghasemi S. Genotype and phenotype of COVID-19: Their roles in pathogenesis. J. Microbiol. Immunol. Infect. 2020 doi: 10.1016/j.jmii.2020.03.022.
  • 41. 41