KAJIAN NILAI HEMATOLOGI SELULER PASIEN YANG TERKONFIRMASI CORONA VIRUS DISEASE COVID-19
Keywords:
Hematology, Symptoms, Covid-19
Abstract
Coronavirus Disease 2019 or COVID-19 caused by the Coronavirus or SARS CoV-2 (severe acute respiratory syndrome coronavirus 2). Routine hematology and leukocyte count were simple examinations that can be performed in almost all health facilities that have clinical laboratories with hematology examination tools. The purpose of this study was to identify the Cellular Hematology of the patients with Confirmed Corona Virus Disease (Covid-19).
This study was a quantitative descriptive with a cross-sectional approach. The sample of this study from patients with positive COVID-19 was taken from medical record data at the Hospital Bumiayu amounted to 59 respondents. The analytical test used Univariate and Bivariate (Chi-Square).
The results showed a mean age of 50.2 years with most sex 56% male, the mean cellular hematology results were as follows: Hb 13.5 g/dl; mean Leukocyte 7266.9/mm3; Erythrocytes 4.84 million/mm3; Platelets 243.995/mm3; Hematocrit 40.49 vol%; Basophils 0.34%; Eosinophils 0.64%; Neutrophils 73.24%; Lymphocytes 12.62%; Monocytes 3.84%; CRP 71.95 mg/dL with 18.6% mortality rate with comorbid DM 45.5% with 54.5% dying without comorbidities.
Conclusion: There was a relationship between age, gender and comorbidities, neutrophilia, lymphocytopenia, and high CRP with symptoms of Covid-19 with a p-value p<0.05. There wasn't a relationship between work history and death rate based on symptoms or severity of Covid-19.
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References
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2. Cao W, Shi L, Chen L, Xu X, Wu Z. Clinical Features and Laboratory Inspection of Novel Coronavirus Pneumonia (COVID-19) in Xiangyang, Hubei. British Medical Journal. 2020. 1(1), 1-11. Available from https://doi.org/10.1101/2020.02.23.20026963.
3. Docea A O, Tsatsakis A, Albulescu D, Cristea O, Zlatian O, et al. 2020.A New Threat from an Old Enemy: Re-Emergence of Coronavirus (Review). Int J Mol Med.45, 1631-1643. doi: 10.3892/ijmm.2020.4555.
4. Fan BE, Chong VCL, Chan SSW, Lim GH, Lim KGE, et al. 2020. Hematologic Parameters in Patients with COVID-19 Infection. Am J Hematol, 1-4. doi: 10.1002/ajh.25774.
5. Gao Y, Li T, Han M, Li X, Wu D, et al. 2020. Diagnostic Utility of Laboratory Data Determinations for Patients with the Severe COVID-19. J Med Virol. 1, 1-6. Available from https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmv.25770.
6. Gennaro F D, Pizzol D, Marotta C, Antunes M, Racalbuto V, et al. 2020. Coronavirus Disease (COVID-19) Current Status and Future Perspectives: A Narrative Review. Int J Environ Res Public Health. MDPI. 17(8), 2690-2703. Available from https://doi.org/10.3390/ijerph17082690.
7. Guan W, Ni Z, Hu Y, Liang W, Ou C, et al. 2020. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl Med. 382, 1708-1720. Available from https://www.nejm.org/doi/10.1056/NEJMoa2002032. (diakses tanggal 4 Agustus 2021).
8. Gennaro F Di, Pizzol D, Marotta C, Antunes M, Racalbuto V, Veronese N, et al. 2020. Coronavirus Diseases ( COVID-19 ) Current Status and Future Perspectives : A Narrative Review. Intection Environ Res Public Health.
9. Ningthoujama R DK. 2020. WHO statement – “Older people are at highest risk from COVID-19”: Should the hypothesis be corroborated or rejected? Elsevier Public Heal Emergencies Collect [Internet]. 19–21. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297172/ (diakses tanggal 4 Agustus 2021).
10. ECDC. Risk factors and risk groups. Europe Central Disease Prevention Control [Internet]. 2020; Available from: https://www.ecdc.europa.eu/en/covid-19/latest-evidence/epidemiology (diakses tanggal 4 Agustus 2021).
11. Maragakis L. Coronavirus and COVID-19: Who is at higher risk? John Hopkins Med [Internet]. 2020; Available from: https://www.hopkinsmedicine.org/health/conditions-anddiseases/coronavirus/coronavirus-and-covid19-who-is-at-higher-risk (diakses tanggal 4 Agustus 2021).
12. Elviani R, Anwar C, Sitorus RJ. 2021. GAMBARAN USIA PADA KEJADIAN COVID-19. JMJ. 9(2), 204-209.
13. Leng J. dan D.R. Goldstein. Impact of Aging on Viral Infection. Microbes Infect; 2010. 12(14-15), 1120-4.
14. Lavan AH dan P. Gallagher. 2016. Predicting Risk of Adverse drug Reactions in Older Adults. Ther Adv Drug Saf. 7(1), 11-22.
15. Putri NA, Putra AE, Mariko R. 2021. Hubungan Usia, Jenis Kelamin Dan Gejala Dengan Kejadian COVID-19 di Sumatera Barat. Majalah Kedokteran Andalas http://jurnalmka.fk.unand.ac.id. 44(2), 104-111.
16. Mus R, Abbas M, Thaslifa, Sunaidi Y. 2020. Studi Literatur: Tinjauan Pemeriksaan Laboratorium pada Pasien COVID 19. Jurnal Kesehatan Vokasional. 5(4).
17. Martantya RS, Nasrul E, Basyar M . 2014. Gambaran Hitung Jenis Leukosit pada Pasien Penyakit Paru. Obstruktif Kronik yang Dirawat di RSUP Dr. M. Djamil Padang.. Jurnal Kesehatan Andalas. 3(2).
18. Biswas M, S. Rahaman, T.K Biswas, Z. Haque dan B. Ibrahim. 2020. Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patiens: A Symtematic Review and Meta-Analysis. Intervirology. 64, 36-47.
19. Sugihantono, A., et al. 2020. Pedoman Pencegahan Dan Pengendalian Coronavirus Disesase (Covid-19). Kementerian Kesehatan RI. 5(3).
20. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J et al. 2020. Clinical Characteristics of 138 Hospitapized Patients with 2019 Novel CoronaVIRUSInfected Pneumonia in Wuhan, China.
21. Lim S, Bae JH, Kwon HS, Nauck MA. 2020. COVID-19 and diabetes mellitus: from pathophysiology to clinical management. Nature Reviews Endocrinology. 13, 1-20.
22. Pal R, Bhadada SK. 2020. COVID-19 and diabetes mellitus: An unholy interaction of two pandemics. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 1;14(4), 513-7.
23. Vas P, Hopkins D, Feher M, Rubino F, B Whyte M. 2020. Diabetes, obesity and COVID‐19: a complex interplay. Diabetes, Obesity and Metabolism. 22(10), 1892-6.
24. Angelidi AM, Belanger MJ, Mantzoros CS. 2020. Commentary: COVID-19 and diabetes mellitus: what we know, how our patients should be treated now, and what should happen next. Metabolism. 1(107), 154245.
25. Erener S. 2020. Diabetes, infection risk and COVID-19. Molecular Metabolism. 23, 101044.
26. Azar WS, Njeim R, Fares AH, Azar NS, Azar ST, El Sayed M, Eid AA. 2020. COVID-19 and diabetes mellitus: how one pandemic worsens the other. Reviews in Endocrine and Metabolic Disorders. 21(4), 451-63.
27. Unsworth R, Wallace S, Oliver NS, Yeung S, Kshirsagar A, Naidu H, Kwong RM, Kumar P, Logan KM. 2020. New-onset type 1 diabetes in children during COVID-19: multicenter regional findings in the UK. Diabetes Care. 1:43(11), e170-1.
28. Guan, W.J., Liang, W.H., Zhao, Y., Liang, H.R., Chen, Z.S., Li, Y.M., Liu, X.Q., Chen, R.C., Tang, C.L., Wang, T. and Ou, C.Q., 2020. Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis. European Respiratory Journal, 55(5). Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098485/. (Diakses tanggal 7 Agustus 2021).
29. Sproston, N. R., & Ashworth, J. J. 2018. Role of C-reactive protein at sites of inflammation and infection. Front Immunol. 9, 1–11. (https://doi.org/10.3389/fimmu.2018.00754. (diakses pada tanggal 7 Agustus 2021).
30. Sun, Y., Dong, Y., Wang, L., Xie, H., Li, B., Chang, C., & Wang, F. 2020. Characteristics and prognostic factors of disease severity in patients with COVID-19 : The Beijing experience. J. Autoimmun. 112, 102473. (https://doi.org/10.1016/j.jaut.2020.102473, Diakses pada tanggal 7 Agustus 2021).
31. Tan, C., Huang, Y., Shi, F., Tan, K., Ma, Q., Chen, Y., Jiang, X., & Li, X. 2020. Creactive protein correlates with computed tomographic findings and predicts severe COVID-19 early. J. Med. Virol. 92(7), 856–862. (https://doi.org/10.1002/jmv.25871, Diakses pada tanggal 5 Agustus 2021).
32. Tang, Y., Schmitz, J. E., Persing, D. H., & Stratton, C. W. 2020. Laboratory Diagnosis of COVID-19: Current Issues and Challenges. J. Clin. Microbiol. 58(6), 1–9. (https://doi.org/10 .1128/JCM.00512-20, Diakses pada tanggal 5 Agustus 2021).
Published
2021-10-05
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