COVID19 MORTALITY CORRELATION WITH THE BLOOD AND CYTOKINE LEVELS PARAMETERS IN 2021

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Yusra Kadhim Ali Al-Saadi, ., & Prof. Dr. Besma Bel Hadj Jrad, . (2024). COVID19 MORTALITY CORRELATION WITH THE BLOOD AND CYTOKINE LEVELS PARAMETERS IN 2021. The American Journal of Medical Sciences and Pharmaceutical Research, 6(01), 40–55. https://doi.org/10.37547/TAJMSPR/Volume06Issue01-08
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Abstract

The COVID-19 epidemic has strained healthcare systems globally. Effective patient care and public health policies need understanding COVID-19 mortality variables. This research examines how demographics, comorbidities, cytokine parameters, and hospitalization time affect COVID-19 mortality. The research retrospectively examined 100 Iraqi COVID-19 patients in 2021. Data from Medical City Hospital and Al-Kadhimiya Hospital were analyzed using SPSS and Excel. Study participants were of various ages and genders. The 2021 COVID-19 death rate was 22%, depending on age, gender, and comorbidities. Out of persons aged ≤30 (n=9), 22.2% died from the illness. In the 31-40 age range (n=24), 25.0% died. The 41-50 age group (n=15) had a 40.0% death rate. In the 51-60 age range (n=27), 25.9% died. The 61-70 age group (n=18) had a 5.6% death rate. No one over 70 (n=7) died. The age of patients, but not gender, are significantly associated with mortality. Among the parameters analyzed, ferritin, D-dimer, lymphocytes, and the neutrophil-to-lymphocyte ratio (NLR) levels showed significant differences between the deceased and alive groups (p-value <0.05). Comorbidity analysis demonstrated that cardiovascular diseases, malignancy, kidney diseases, and bacterial infections were significantly associated with higher mortality rates in COVID-19 patients, while liver disease, diabetes mellitus (DM), and hypertension (HT) did not show significant associations. IL6, IL10, and IL12 cytokines levels differed significantly between died and surviving patients. Elevated levels of these interleukins were associated with increased mortality risk, while TNF-a levels showed no significant difference.

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References

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.

Amani, A., Namdar Ahmadabad, H., Nikravesh, A., Zarei, J., & Haghbin, A. (2022). COVID-19 Death Rates in Iran and Iraq: Possible Relations Between Iraq’s Pre-COVID-19 Mass Gatherings and Its Low Death Rate. Journal of Epidemiology and Global Health, 12(4), 380–382.

Azar, M. M., Shin, J. J., Kang, I., & Landry, M. (2020). Diagnosis of SARS-CoV-2 infection in the setting of the cytokine release syndrome. Expert Review of Molecular Diagnostics, 20(11), 1087–1097.

Aziz, M., Fatima, R., & Assaly, R. (2020). Elevated interleukin‐6 and severe COVID‐19: a meta‐analysis. Journal of Medical Virology, 92(11), 2283.

Biswas, M., Rahaman, S., Biswas, T. K., Haque, Z., & Ibrahim, B. (2021). Association of sex, age, and comorbidities with mortality in COVID-19 patients: a systematic review and meta-analysis. Intervirology, 64(1), 36–47.

Cao, J., Hu, X., Cheng, W., Yu, L., Tu, W.-J., & Liu, Q. (2020). Clinical features and short-term outcomes of 18 patients with corona virus disease 2019 in intensive care unit. Intensive Care Medicine, 46, 851–853.

Chan, J. F.-W., Yuan, S., Kok, K.-H., To, K. K.-W., Chu, H., Yang, J., Xing, F., Liu, J., Yip, C. C.-Y., & Poon, R. W.-S. (2020). A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet, 395(10223), 514–523.

Chen, R., Sang, L., Jiang, M., Yang, Z., Jia, N., Fu, W., Xie, J., Guan, W., Liang, W., & Ni, Z. (2020). Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China. Journal of Allergy and Clinical Immunology, 146(1), 89–100.

Daniel, W. W., & Cross, C. L. (2018). Biostatistics: a foundation for analysis in the health sciences. Wiley.

Feld, J., Tremblay, D., Thibaud, S., Kessler, A., & Naymagon, L. (2020). Ferritin levels in patients with COVID‐19: a poor predictor of mortality and hemophagocytic lymphohistiocytosis. International Journal of Laboratory Hematology, 42(6), 773–779.

Grasselli, G., Zangrillo, A., Zanella, A., Antonelli, M., Cabrini, L., Castelli, A., Cereda, D., Coluccello, A., Foti, G., & Fumagalli, R. (2020). Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region, Italy. Jama, 323(16), 1574–1581.

Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C. L., & Hui, D. S. C. (2019). China medical treatment expert group for Covid-19. Clinical Characteristics of Coronavirus Disease, 382(18), 1708–1720.

Henry, B. M., Cheruiyot, I., Vikse, J., Mutua, V., Kipkorir, V., Benoit, J., Plebani, M., Bragazzi, N., & Lippi, G. (2020). Lymphopenia and neutrophilia at admission predicts severity and mortality in patients with COVID-19: a meta-analysis. Acta Bio Medica: Atenei Parmensis, 91(3), e2020008.

Herold, T., Jurinovic, V., Arnreich, C., Lipworth, B. J., Hellmuth, J. C., von Bergwelt-Baildon, M., Klein, M., & Weinberger, T. (2020). Elevated levels of interleukin-6 and CRP predict the need for mechanical ventilation in COVID-19. The Journal of Allergy and Clinical Immunology.

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., & Gu, X. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506.

Ioannidis, J. P. A. (2021). Infection fatality rate of COVID-19 inferred from seroprevalence data. Bulletin of the World Health Organization, 99(1), 19.

Kox, M., Waalders, N. J. B., Kooistra, E. J., Gerretsen, J., & Pickkers, P. (2020). Cytokine levels in critically ill patients with COVID-19 and other conditions. Jama, 324(15), 1565–1567.

Li, H., Liu, L., Zhang, D., Xu, J., Dai, H., Tang, N., Su, X., & Cao, B. (2020). SARS-CoV-2 and viral sepsis: observations and hypotheses. The Lancet, 395(10235), 1517–1520.

Liu, Y., Du, X., Chen, J., Jin, Y., Peng, L., Wang, H. H. X., Luo, M., Chen, L., & Zhao, Y. (2020). Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. Journal of Infection, 81(1), e6–e12.

Luan, Y., Yin, C., & Yao, Y. (2021). Update advances on C-reactive protein in COVID-19 and other viral infections. Frontiers in Immunology, 3153.

Malaeb, R., Haider, A., Abdulateef, M., Hameed, M., Daniel, U., Kabilwa, G., Seyni, I., Ahmadana, K. E., Zelikova, E., & Porten, K. (2023). High mortality rates among COVID-19 intensive care patients in Iraq: insights from a retrospective cohort study at Médecins Sans Frontières supported hospital in Baghdad. Frontiers in Public Health, 11.

Matthay, M. A., Zemans, R. L., Zimmerman, G. A., Arabi, Y. M., Beitler, J. R., Mercat, A., Herridge, M., Randolph, A. G., & Calfee, C. S. (2019). Acute respiratory distress syndrome. Nature Reviews Disease Primers, 5(1), 18.

Mawlood, N. A., & Lafta, R. K. (2022). Trends in COVID-19: Incidence, mortality, and case fatality in Iraq. Saudi Medical Journal, 43(5), 500.

Merschel, M. (2022). Blood clot risk remains elevated nearly a year after COVID-19. https://www.heart.org/en/news/2022/09/19/blood-clot-risk-remains-elevated-nearly-a-year-after-covid-19

Muniyappa, R., & Gubbi, S. (2020). COVID-19 pandemic, coronaviruses, and diabetes mellitus. American Journal of Physiology-Endocrinology and Metabolism.

Ponti, G., Maccaferri, M., Ruini, C., Tomasi, A., & Ozben, T. (2020). Biomarkers associated with COVID-19 disease progression. Critical Reviews in Clinical Laboratory Sciences, 57(6), 389–399.

Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., Barnaby, D. P., Becker, L. B., Chelico, J. D., & Cohen, S. L. (2020). Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. Jama, 323(20), 2052–2059.

Sarhan, A. R., Flaih, M. H., Hussein, T. A., & Hussein, K. R. (2020). Novel coronavirus (COVID-19) outbreak in Iraq: the first wave and future scenario. MedRxiv.

Tang, N., Li, D., Wang, X., & Sun, Z. (2020). Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost, 18(4), 844–847.

Tian, W., Jiang, W., Yao, J., Nicholson, C. J., Li, R. H., Sigurslid, H. H., Wooster, L., Rotter, J. I., Guo, X., & Malhotra, R. (2020). Predictors of mortality in hospitalized COVID‐19 patients: a systematic review and meta‐analysis. Journal of Medical Virology, 92(10), 1875–1883.

Tong, X., Cheng, A., Yuan, X., Zhong, X., Wang, H., Zhou, W., Xu, X., & Li, Y. (2021). Characteristics of peripheral white blood cells in COVID-19 patients revealed by a retrospective cohort study. BMC Infectious Diseases, 21(1), 1–10.

UNICEF. (2020). Assessment of COVID-19 Impact on Poverty and Vulnerability in Iraq. https://www.unicef.org/iraq/media/1181/file/Assessment_of_COVID_19_Impact_on_Poverty_and_Vulnerability_in_Iraq.pdf

World Health Organization. (2022a). Advice for the public: Coronavirus disease (COVID-19). WHO. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public

World Health Organization. (2022b). WHO Coronavirus (COVID-19) Dashboard. WHO. https://covid19.who.int/

Yao, Y., Cao, J., Wang, Q., Shi, Q., Liu, K., Luo, Z., Chen, X., Chen, S., Yu, K., & Huang, Z. (2020). D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study. Journal of Intensive Care, 8, 1–11.

Zhang, H.-J., Qi, G.-Q., Gu, X., Zhang, X.-Y., Fang, Y.-F., Jiang, H., & Zhao, Y.-J. (2021). Lymphocyte blood levels that remain low can predict the death of patients with COVID-19. Medicine, 100(28).

Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., & Gu, X. (2020). Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. The Lancet, 395(10229), 1054–1062.

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