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The effect of age and gender on the severity of coronavirus infection

    Bayda abdulrazaq Yahya doha nidhal saad shahad hazim ali

Mosul Journal of Nursing, 2022, Volume 10, Issue 2, Pages 169-174
10.33899/mjn.2022.174938

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Abstract

Background: One of the most noticeable differences in infection patterns was the large disparity in death rates from the coronavirus between men and women , with the number of deaths among men twice the number of women in the United states and Europe , and it was most common among middle - aged people and older adults .
Objective: To identify the effect of age and gender on the severity of coronavirus infection with the corona virus.
Methods: A study was conducted on (260) patients infected with coronavirus (134) males and (126) females, their ages ranged between 15 to 75 years in a private  laboratory in the City of Mosul, in order to find out the effect of age and gender on the severity of infection with corona virus by measuring their biomarker (C- Reactive protein, Ferritin and D - dimer). The samples were divided based on the values of biomarker into two cases, the mild case and the severe case.
Results: The results showed that the age group (31-45) years is the most susceptible to infection compared to the rest of the age groups for both cases. The results also showed that the incidence of males in the mild case was higher than females and amounted to (51.42%), (48.57 %) respectively , and all values of vital indicators were recorded within the normal range , while in the severe case , it reached (51.65 %) for males , (48-32 % ) for females , and all values of vital indicators were higher than the normal range which increases age with for both sexes.
Conclusions and Recommendations: We conclude from this study that males were more susceptible to infection with the Coronavirus and its complications than women, and that the severity of infection increased with age. Therefore, we recommend and emphasize the adult category to receive vaccinations, reduce contact and take all necessary health and preventive measures to avoid infection and transmission. 
Keywords:
    Infection Coronavirus Biomarker C-Reactive Protein Ferritin D-dimer

The effect of age and gender on the severity of coronavirus infection

Bayda A. Yahya 1, Doha N . Saad  2, Shahad H. Ali 3 *,

 Department of Basic Nursing Science, College of Nursing, University of   Mosul, City of Mosul, Iraq.

  1. Department of Basic Nursing Science, College of Nursing, University of   Mosul, City of Mosul, Iraq.
  2. Department of Basic Nursing Science, College of Nursing, University of   Mosul, City of Mosul, Iraq.

 Corresponding author: Baydaa Abdulrazzaq Yahya

Email: Baydaa.yahya@uomosul.edu.iq

ABSTRACT

Background: One of the most noticeable differences in infection patterns was the large disparity in death rates from the coronavirus between men and women , with the number of deaths among men twice the number of women in the United states and Europe , and it was most common among middle - aged people and older adults .

Objective: To identify the effect of age and gender on the severity of coronavirus infection with the corona virus.

Methods: A study was conducted on (260) patients infected with coronavirus (134) males and (126) females, their ages ranged between 15 to 75 years in a private  laboratory in the City of Mosul, in order to find out the effect of age and gender on the severity of infection with corona virus by measuring their biomarker (C- Reactive protein, Ferritin and D - dimer). The samples were divided based on the values of biomarker into two cases, the mild case and the severe case.

Results: The results showed that the age group (31-45) years is the most susceptible to infection compared to the rest of the age groups for both cases. The results also showed that the incidence of males in the mild case was higher than females and amounted to (51.42%), (48.57 %) respectively , and all values of vital indicators were recorded within the normal range , while in the severe case , it reached (51.65 %) for males , (48-32 % ) for females , and all values of vital indicators were higher than the normal range which increases age with for both sexes.

Conclusions and Recommendations: We conclude from this study that males were more susceptible to infection with the Coronavirus and its complications than women, and that the severity of infection increased with age. Therefore, we recommend and emphasize the adult category to receive vaccinations, reduce contact and take all necessary health and preventive measures to avoid infection and transmission. 

Keywords: Infection Coronavirus, Biomarker, C-Reactive Protein ,Ferritin, D-dimer

Received: 03 May 2022, Accepted: 15 June 2022, Available online: 27 July 2022.

INTRODUCTION

          COVID-19 disease declared a global pandemic by WHO (Lippi,et al,2020) the word corona in Latin means crown (Sayed,2020). Corona virus is a viral infection that causes various respiratory problems in human body (Wolde,2020). There are some clinical and biological determinants that predict disease progression, which help to identify patients at high risk at an early stage of infection with corona virus (Rostam,et al,2020). One of these determinant is C - Reactive Protein (CRP), the researchers found CRP acted independent variable correlated with severity of the corona virus (Chen, et al ,2019 ; Qu,et al,2020). D- dimer is another determinant in the diagnosis of virus disease severity in the patient body (Yu,et al,2020), it is a sensitive test, as a higher D - dimer levels have been linked to higher levels of pulmonary embolism potential therefore,                              elevation in D-dimer levels in coronavirus patients may be useful in rapidly identifying those with high disease severity and pulmonary complications (Olson,2015 ; Schutgens,2020).

       Ferritin is another biomarker which is considered a predictive factor for the severity of corona virus and as indicator of inflammation (Liu ,  et al,2020  ; Vargas-Vargas and Cortés-Rojo,2020 ; Banchini,et al ,2021 and Ahmed, et al,2021).The severity of symptoms of coronavirus infection varies from one person to another ,some patients may experience sever or even fatal symptoms, while others experience mild or even non visible symptoms. Previous studies have separately. and gender investigated the effect of age and gender on the severity of infection with coronavirus. As a team of researchers found that in cases of infection of coronavirus in which sever symptoms appear, the body may attack one of its main immune defenses instead of fighting the virus, and most of them were men, which explains why men are infected more than Women (Undurraga, et al,2021) . They also point out that children are better off than adults. because of strong immune cells. that diminish with age. The great disparity in the death rates between men and women due to infection with corona virus was one of the most noticeable differences in infection patterns, for example, in the United States , the number of deaths among men was twice that of women due to infection with virus , and men made up (69%) of the victims the of coronavirus in Western Europe which promoted  a study of differences between sexes and their impact mortality and infection rates in different countries on the world (Galasso, et al,2020) . On from the above comes the importance of our current study, which aimed to know the effect of age and gender on the severity of infection with corona virus by measuring vital indicators (CRP Ferritin, and D - dimer). The study aimed to find out the effect of age and gender on the severity of corona virus infection.

METHOD

      Blood samples were collected from (260) patients in infected for corona virus in a private laboratory in Mosul city (134) males and (126) females age between (15-75) years, it took about three months to collect all the samples. As (5ml) of blood was withdrawn and placed in the incubator for 15 minutes at 37 °C, placed at in a centrifuge (3000 PPM) for 10 minutes. The samples were divided in two parts (mild and sever) cases according to the severity of the injury in terms of biomarkers values (CRP, Ferritin and D - dimer), and also divided according to the gender and the age groups. Full an automatic laboratory equipment was used to measure biomarkers (D-dimer and Ferritin) in device CL 900i and to measure (CRP) in device I Chroma II, material (kit) manufactured by the Korea company were used to measure all vital indicators.

RESULTS

Table 1. Demographic characteristics related to participants.

Female

Male

Age

%

No.

%

No.

22.22

28

16.42

22

15-30

44.44

56

38.80

52

31-45

17.46

22

17.90

24

46-60

15.87

20

26.87

36

61-75

99.99

126

99.99

134

Total

  

Table 2. Effect of the age and gender of biomarker for mild cases for corona virus (case number 140).

 

Table 3. Effect of the age and gender of biomarker for severe cases for corona virus (case number 120)

 

Female

Male

 

Age

D-dimer ng/ml

Ferritin ng/ml

CRP mg/L

%

No.

D-dimer ng/ml

Ferritin ng/ml

CRP mg/L

%

No.

 

≤ 100

(20-60)

< 10.0

8.57

12

≤ 100

(20-60)

< 10.0

8.57

12

15-30

(100-200)

(60-100)

 

24.28

34

(100-200)

(60-100)

 

22.85

32

31-45

(200-300

(100-140)

 

8.57

12

(200-300)

(100-140)

 

5.7

8

46-60

(300-500)

(140-250)

 

7.14

10

(300-500)

(140-350)

 

14..28

20

61-75

     

 

 

48.57%

68

 

 

 

51.42%

72

Total

Biomarker (CRP (N. R=< 10.0 mg/L), Ferritin (M=80-350 ng/ml), D-dimer (N. R=

 

                         

 

Female

 

Male

Age

D-dimer ng/ml

Ferritin ng/ml

CRP mg/L

%

       No.

D-dimer ng/ml

Ferritin ng/ml

CRP mg/L

%

No.

 

600-800

400-500

20-40

13.33

16

600-800

400-500

20-40

8.33

10

15-30

800-1000

500-600

40-60

18.33

22

800-1000

500-600

40-60

16.66

20

31-45

1000-1200

600-700

60-80

8.33

10

1000-1200

600-700

60-80

13.33

16

46-60

2000

700-900

80-126

8.33

10

1200-2000

700-1000

80-124

13.33

16

61-75

 

 

 

48.32

58

 

 

 

51.65

62

Total

Biomarker (CRP (N. R=< 10.0 mg/L), Ferritin (M=80-350 ng/ml), D-dimer (N. R=

 


 

 

 

 

 

 

 

DISCUSSION

    Table 1: shows that the patients whose ages between (31-45) years for male and females are more susceptible to infection with corona virus then the other age groups, their percentage was (38.80 %) and (44.44 %) respectively, because of the rate of exposure of this age group more than other groups to direct contact between members of society.  This results were confirmed by some previous studies(Ad’hiah,et al,2020; Asghar,et al,2020) , they indicated that the available data on the number of cases classified by age and sex in the Arab region is still limited, and that the data announced by WHO regarding the Arab region, about (67%) of cases of infection with corona virus are among adults aged between 20-59 years, that (24%) fall among elderly aged to years and over, and that only (9%) of cases are among young people who are 19 years old or younger.

 

 

     Table 2: show, it was noted that the effect of infection on sex, as the percentage in males was somewhat higher than in females, where the percentage amounted to about (51.42%), while the percentage in females was approximately (48.57%) of the total patients. This means that there is a higher risk of infection for males than females.From the observation of the values listed in table (2), also show the relationship between the biomarker in mild cases of coronavirus patients, it was observed that (CRP, Ferritin) values are within the normal range in the mild cases. This indicates that the infection is early.

 It is also known that the biomarker CRP (C-Reactive Protein) is an acute-phase reactant that is synthesized by the liver is response to inflammation or infection (Abbaspour,et al,2014). As the most of the values CRP in mild cases appeared within the normal range,and this indicates the absence of any inflammation, which indicates that the infection with the Corona virus is mild.

As for the other factor which is ferritin in mild cases, we note that the level of ferritin is within the normal range, and this indicates that the infection is in its infancy. So an elevated level of ferritin plays a role in pro-inflammation (Das,et al,2021). As it is known that the production of ferritin under inflammatory conditions of the body is an important acute phase reactant (Yu,et al,2020). There is no increase in the values of ferritin from the normal range, this means that there is no acute inflammation in the body, and this is confirmed by previous studies.

While d-dimer, we note from the values installed in the above table that there is a slight increase, and this indicates the prediction of an injury, but in its initial stages. As it is known that elevated levels of D-dimer in coronavirus patients than patients with community acquired pneumonia (Malik,et al,2021). Can be used as helpful biomarker in the early management of the high-risk and pulmonary complication coronavirus patients (Chalmers,et al,2019).

Table 3: shows that the infection rate for males is higher than females, as their percentage (51.65%),( 48-32%) respectively . In addition, the age group between 31 to 45 years were more susceptible to infection with the virus for both sexes than the other groups. Table (3) also shows that all the biomarkers (CRP , Ferritin and D-dimer) have recorded a noticeable increase in their values , and this indicates the occurrence of infection in advanced stages , where it was noted that most of the values CRP in severe cases were high, this indicates the presence of inflammation , as is used as a biomarker for different inflammatory and infections conditions . Also elevated CRP levels are directly correlated with level of inflammation(Jin,et al,2020 ; Velavan and Meyer ,2020) As for the D-dimer values , we note that in severe cases of corona virus patients , higher values . were recorded than in mild cases, and this is a clear evidence of the

 

thromboembolism (Soni ,et al,2021). where the level of D-dimer rises in severe cases, and this rise is useful in predicting the presence of pulmonary complications, in addition to being useful for identifying people who suffer from severity (Garcia-Olivé ,et al,2020).

The results in table 3: also showed that there is an increase in CRP, ferritin n and d-dimer with increasing age for both sexes, and the reason for this may be due to the important role played by the sex hormones estrogen and progesterone in preventing infections and maintaining the immune system, and this explains the difficult complications and severity of disease that elderly people of both sexes are exposed to, this is due to the decrease in sex hormones with age (Dhindsa,et al,2021).  

 

CONCLUSIONS

We concluded from this study that gender has an effect infection for corona virus, and that males are more on susceptible to infection with the coronavirus and its complications than females, and that the severity of infection increases with age.

ETHICALCONSIDERATIONSCOMPLIANCEWITHETHICALGUIDELINES

A written in formed ,voluntary participation consent was obtaind from laborotary  and patients.

FUNDING
The study  was conducted by self-financing by researcher.

AUTHOR’SCONTRIBUTIONS

Study concept: Dr. Bayda A. Yahya  ;Writing  the orginal draft Bayda A. Yahya  and Doha N . Saad ;Data collection : Doha N . Saad  and Shahad H. Ali ; Revewing the final edition : All Authors.

DISCLOSURESTATEMENT:

They are no  conflict of interest for the authors.

ACKNOWLEDGEMENTS

We thank the laborotary staff for their efforts in collecting sample for this study.

REFERENCES

Abbaspour, N., Hurrell, R., & Kelishadi, R. (2014). Review on iron and its importance for human health. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences, 19(2), 164.

Ad’hiah, A. H., Abdullah, M. H., Alsudani, M. Y., Shnawa, R. M., Al-Sa’ady, A. J., Allami, R. H., ... & Taqi, E. A. (2020). Association between ABO blood groups and susceptibility to COVID-19: profile of age and gender in Iraqi patients. Egyptian Journal of Medical Human Genetics, 21(1), 1-10.

Ahmed, S., Ahmed, Z. A., Siddiqui, I., Rashid, N. H., Mansoor, M., & Jafri, L. (2021). Evaluation of serum ferritin for prediction of severity and mortality in COVID-19-A cross sectional study. Annals of medicine and Surgery, 63, 102163.

Asghar, M. S., Kazmi, S. J. H., Khan, N. A., Akram, M., Hassan, M., Rasheed, U., & Khan, S. A. (2020). Poor prognostic biochemical markers predicting fatalities caused by COVID-19: a retrospective observational study from a developing country. Cureus, 12(8).

Banchini, F., Cattaneo, G. M., and Capelli, P. (2021). Serum ferritin levels in inflammation: a retrospective comparative analysis between COVID-19 and emergency surgical non-COVID-19 patients. World Journal of Emergency Surgery, 16(1), 1-7.

Chalmers, S., Khawaja, A., Wieruszewski, P. M., Gajic, O., and Odeyemi, Y. (2019). Diagnosis and treatment of acute pulmonary inflammation in critically ill patients: the role of inflammatory biomarkers. World journal of critical care medicine, 8(5), 59.

 Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., ...and Wu, S. (2019). Clinical and immunologic features in severe and moderate forms of Coronavirus Disease. J Clin Invest, 82, 137244.

 Das, B., Bhatia, S. Y., and Pal, P. M. (2021). Evaluation of the role of routine laboratory biomarkers in COVID-19 patients: perspective from a tertiary care hospital in India. Indian Journal of Clinical Biochemistry, 36(4), 473-484.

Dhindsa, S., Zhang, N., McPhaul, M. J., Wu, Z., Ghoshal, A. K., Erlich, E. C., ... and Diwan, A. (2021). Association of circulating sex hormones with inflammation and disease severity in patients with COVID-19. JAMA network open, 4(5),

Galasso, V., Pons, V., Profeta, P., Becher, M., Brouard, S., and Foucault, M. (2020). Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries. Proceedings of the National Academy of Sciences, 117(44), 27285-27291.

  Garcia-Olivé, I., Sintes, H., Radua, J., Capa, J. A., and Rosell, A. (2020). D-dimer in patients infected with COVID-19 and suspected pulmonary embolism. Respiratory medicine, 169, 106023.

Jin, Y., Yang, H., Ji, W., Wu, W., Chen, S., Zhang, W., and Duan, G. (2020). Virology, epidemiology, pathogenesis, and control of COVID-19. Viruses 12 (4): 372.

Lippi, G., Sanchis-Gomar, F., & Henry, B. M. (2020). Coronavirus disease 2019 (COVID-19): the portrait of a perfect storm. Annals of translational medicine, 8(7).

Liu, J., Liu, Y., Xiang, P., Pu, L., Xiong, H., Li, C., ... and Wang, X. (2020). Neutrophil-to-lymphocyte ratio predicts severe illness patients with 2019 novel coronavirus in the early stage. MedRxiv.

Malik, P., Patel, U., Mehta, D., Patel, N., Kelkar, R., Akrmah, M., ... and Sacks, H. (2021). Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ evidence-based medicine, 26(3), 107-108.

Olson, J. D. (2015). D-dimer: an overview of hemostasis and fibrinolysis, assays, and clinical applications. Advances in clinical chemistry, 69, 1-46.

Qu, G., Huang, G., Zhang, M., Yu, H., Song, X., Zhu, H., ... and Pei, B. (2020). Features of C-reactive protein in COVID-19 patients with ldifferent ages, clinical types and outcomes: a cohort study. MedRxiv.

 Rostam, S. R. K., Shekhany, K. A. M., & Smail, H. O. (2020). Comparative study of some biochemical parameters among of COVID-19 symptoms and non COVID-19 symptoms individuals. BIOVALENTIA: Biological Research Journal, 6(2), 9-14.

Schutgens, R. E. (2020). D-dimer in COVID-19: a guide with pitfalls. Hemasphere, 4(4).

Soni, S. L., Kajal, K., Yaddanapudi, L. N., Malhotra, P., Puri, G. D., Bhalla, A., ... and Guru, R. R. (2021). Demographic & clinical profile of patients with COVID-19 at a tertiary care hospital in north India. The Indian journal of medical research, 153(1-2), 115.

 Sayed, A. (2020). Coronavirus: a mini-review. Int J Curr Res Med Sci, 6(1), 8-10.

Undurraga, E. A., Chowell, G., and Mizumoto, K. (2021). COVID-19 case fatality risk by age and gender in a high testing setting in Latin America: Chile, March–August 2020. Infectious Diseases of Poverty, 10(1), 1-11..

Vargas-Vargas, M., and Cortés-Rojo, C. (2020). Ferritin levels and COVID-19. Revista Panamericana de Salud Pública, 44, e72.

Velavan .TP, Meyer .CG.(2020). Mild versus severe COVID- 19 laboratory markers. Int J Infec Dis., 95:304-307.10.1016/j.ijid.2020.04.061

 Wolde, M. (2020). Hematology, immunology and clinical chemistry profiles of COVID-19 patients: Systematic review. Ethiopian Journal of Health Development, 34(3).

Yu, B., Li, X., Chen, J., Ouyang, M., Zhang, H., Zhao, X., ...and  Tang, J. (2020). Evaluation of variation in D-dimer levels among COVID-19 and bacterial pneumonia: a retrospective analysis. Journal of thrombosis and thrombolysis, 50(3), 548-557.

             

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(2022). The effect of age and gender on the severity of coronavirus infection. Mosul Journal of Nursing, 10(2), 169-174. doi: 10.33899/mjn.2022.174938
Bayda abdulrazaq Yahya; doha nidhal saad; shahad hazim ali. "The effect of age and gender on the severity of coronavirus infection". Mosul Journal of Nursing, 10, 2, 2022, 169-174. doi: 10.33899/mjn.2022.174938
(2022). 'The effect of age and gender on the severity of coronavirus infection', Mosul Journal of Nursing, 10(2), pp. 169-174. doi: 10.33899/mjn.2022.174938
The effect of age and gender on the severity of coronavirus infection. Mosul Journal of Nursing, 2022; 10(2): 169-174. doi: 10.33899/mjn.2022.174938
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Abbaspour, N., Hurrell, R., & Kelishadi, R. (2014). Review on iron and its importance for human health. Journal of research in medical sciences: the official journal of Isfahan University of Medical Sciences, 19(2), 164.

Ad’hiah, A. H., Abdullah, M. H., Alsudani, M. Y., Shnawa, R. M., Al-Sa’ady, A. J., Allami, R. H., ... & Taqi, E. A. (2020). Association between ABO blood groups and susceptibility to COVID-19: profile of age and gender in Iraqi patients. Egyptian Journal of Medical Human Genetics, 21(1), 1-10.

Ahmed, S., Ahmed, Z. A., Siddiqui, I., Rashid, N. H., Mansoor, M., & Jafri, L. (2021). Evaluation of serum ferritin for prediction of severity and mortality in COVID-19-A cross sectional study. Annals of medicine and Surgery, 63, 102163.

Asghar, M. S., Kazmi, S. J. H., Khan, N. A., Akram, M., Hassan, M., Rasheed, U., & Khan, S. A. (2020). Poor prognostic biochemical markers predicting fatalities caused by COVID-19: a retrospective observational study from a developing country. Cureus, 12(8).

Banchini, F., Cattaneo, G. M., and Capelli, P. (2021). Serum ferritin levels in inflammation: a retrospective comparative analysis between COVID-19 and emergency surgical non-COVID-19 patients. World Journal of Emergency Surgery, 16(1), 1-7.

Chalmers, S., Khawaja, A., Wieruszewski, P. M., Gajic, O., and Odeyemi, Y. (2019). Diagnosis and treatment of acute pulmonary inflammation in critically ill patients: the role of inflammatory biomarkers. World journal of critical care medicine, 8(5), 59.

 Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., ...and Wu, S. (2019). Clinical and immunologic features in severe and moderate forms of Coronavirus Disease. J Clin Invest, 82, 137244.

 Das, B., Bhatia, S. Y., and Pal, P. M. (2021). Evaluation of the role of routine laboratory biomarkers in COVID-19 patients: perspective from a tertiary care hospital in India. Indian Journal of Clinical Biochemistry, 36(4), 473-484.

Dhindsa, S., Zhang, N., McPhaul, M. J., Wu, Z., Ghoshal, A. K., Erlich, E. C., ... and Diwan, A. (2021). Association of circulating sex hormones with inflammation and disease severity in patients with COVID-19. JAMA network open, 4(5),

Galasso, V., Pons, V., Profeta, P., Becher, M., Brouard, S., and Foucault, M. (2020). Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries. Proceedings of the National Academy of Sciences, 117(44), 27285-27291.

  Garcia-Olivé, I., Sintes, H., Radua, J., Capa, J. A., and Rosell, A. (2020). D-dimer in patients infected with COVID-19 and suspected pulmonary embolism. Respiratory medicine, 169, 106023.

Jin, Y., Yang, H., Ji, W., Wu, W., Chen, S., Zhang, W., and Duan, G. (2020). Virology, epidemiology, pathogenesis, and control of COVID-19. Viruses 12 (4): 372.

Lippi, G., Sanchis-Gomar, F., & Henry, B. M. (2020). Coronavirus disease 2019 (COVID-19): the portrait of a perfect storm. Annals of translational medicine, 8(7).

Liu, J., Liu, Y., Xiang, P., Pu, L., Xiong, H., Li, C., ... and Wang, X. (2020). Neutrophil-to-lymphocyte ratio predicts severe illness patients with 2019 novel coronavirus in the early stage. MedRxiv.

Malik, P., Patel, U., Mehta, D., Patel, N., Kelkar, R., Akrmah, M., ... and Sacks, H. (2021). Biomarkers and outcomes of COVID-19 hospitalisations: systematic review and meta-analysis. BMJ evidence-based medicine, 26(3), 107-108.

Olson, J. D. (2015). D-dimer: an overview of hemostasis and fibrinolysis, assays, and clinical applications. Advances in clinical chemistry, 69, 1-46.

Qu, G., Huang, G., Zhang, M., Yu, H., Song, X., Zhu, H., ... and Pei, B. (2020). Features of C-reactive protein in COVID-19 patients with ldifferent ages, clinical types and outcomes: a cohort study. MedRxiv.

 Rostam, S. R. K., Shekhany, K. A. M., & Smail, H. O. (2020). Comparative study of some biochemical parameters among of COVID-19 symptoms and non COVID-19 symptoms individuals. BIOVALENTIA: Biological Research Journal, 6(2), 9-14.

Schutgens, R. E. (2020). D-dimer in COVID-19: a guide with pitfalls. Hemasphere, 4(4).

Soni, S. L., Kajal, K., Yaddanapudi, L. N., Malhotra, P., Puri, G. D., Bhalla, A., ... and Guru, R. R. (2021). Demographic & clinical profile of patients with COVID-19 at a tertiary care hospital in north India. The Indian journal of medical research, 153(1-2), 115.

 Sayed, A. (2020). Coronavirus: a mini-review. Int J Curr Res Med Sci, 6(1), 8-10.

Undurraga, E. A., Chowell, G., and Mizumoto, K. (2021). COVID-19 case fatality risk by age and gender in a high testing setting in Latin America: Chile, March–August 2020. Infectious Diseases of Poverty, 10(1), 1-11..

Vargas-Vargas, M., and Cortés-Rojo, C. (2020). Ferritin levels and COVID-19. Revista Panamericana de Salud Pública, 44, e72.

Velavan .TP, Meyer .CG.(2020). Mild versus severe COVID- 19 laboratory markers. Int J Infec Dis., 95:304-307.10.1016/j.ijid.2020.04.061

 Wolde, M. (2020). Hematology, immunology and clinical chemistry profiles of COVID-19 patients: Systematic review. Ethiopian Journal of Health Development, 34(3).

Yu, B., Li, X., Chen, J., Ouyang, M., Zhang, H., Zhao, X., ...and  Tang, J. (2020). Evaluation of variation in D-dimer levels among COVID-19 and bacterial pneumonia: a retrospective analysis. Journal of thrombosis and thrombolysis, 50(3), 548-557.

             

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