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:: Volume 14, Issue 1 (spring 2023) ::
j.health 2023, 14(1): 91-102 Back to browse issues page
Epidemiological and Paraclinical Outcome Characteristics of Patients with COVID-19 Admitted to the ICU of Golestan Province
F Kouchak , A* Heidari * , M Fazlekhoda , Z Khatirnamani
Golestan University of Medical Sciences, Gorgan, Iran
Abstract:   (425 Views)
Background & objectives: Information on the baseline profile of patients with Covid-19 and ICU-related risk factors and in-hospital mortality is still limited. This study aimed to investigate the epidemiological characteristics of patients with COVID-19 admitted to the ICU of Golestan medical centers from March to September 2020.
Methods: This study analyzed data from patients with COVID-19 who were hospitalized in the ICU of medical centers in Golestan province from March to September 2020. The study included information from all 664 patients. The software utilized was SPSS24.
Results: In a study of 664 patients, 547 (82.4%) died, while only 56 (8.4%) recovered. The patient's average age was 59.73 years with a standard deviation of 21.87 years, and 51.4% were male. The most common underlying disease was cardiovascular disease (10.7%). The study showed that age (p<0.001), blood urea (p<0.001), and having at least one underlying disease were significantly associated with the patient's outcomes, including death (p= 0.046).
Conclusion: Mortality due to Covid-19 in patients admitted to ICU in Golestan province had a high percentage. The elderly, especially those with underlying diseases, are more likely to die.
 
Keywords: COVID-19, Intensive Care Unit, Epidemiology, Mortality
Full-Text [PDF 255 kb]   (187 Downloads)    
Type of Study: Research | Subject: General
Received: 2023/06/27 | Accepted: 2023/05/31 | Published: 2023/05/31
References
1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet. 2020;395(10223):497-506. [DOI:10.1016/S0140-6736(20)30183-5] [PMID]
2. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The lancet. 2020;395(10223):507-13. [DOI:10.1016/S0140-6736(20)30211-7] [PMID]
3. Grasselli G, Greco M, Zanella A, Albano G, Antonelli M, Bellani G, et al. Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy. JAMA Internal Medicine. 2020; 180 (10): 1345-55. [DOI:10.1001/jamainternmed.2020.3539] [PMID] [PMCID]
4. Yang Y, Shang W, Rao X. Facing the COVID‐19 outbreak: What should we know and what could we do? Journal of medical virology. 2020;92(6):536-7. [DOI:10.1002/jmv.25720] [PMID] [PMCID]
5. Lipsitch M, Swerdlow DL, Finelli L. Defining the epidemiology of Covid-19-studies needed. New England journal of medicine. 2020;382(13):1194-6. [DOI:10.1056/NEJMp2002125] [PMID]
6. Lippi G, Plebani M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: a meta-analysis. Clinica chimica acta. 2020;506:145-8. [DOI:10.1016/j.cca.2020.03.022] [PMID] [PMCID]
7. Gao Y, Li T, Han M, Li X, Wu D, Xu Y, et al. Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID‐19. Journal of medical virology. 2020;92(7):791-6. [DOI:10.1002/jmv.25770] [PMID] [PMCID]
8. Levi M, Thachil J, Iba T, Levy JH. Coagulation abnormalities and thrombosis in patients with COVID-19. The Lancet Haematology. 2020;7(6):e438-e40. [DOI:10.1016/S2352-3026(20)30145-9] [PMID]
9. Heidari A, Kabir MJ, Khatirnamani Z, Hosseinpour R. Modeling of hospitalization time to recovery of patients with COVID-19 in hospitals of Golestan University of Medical Sciences. Journal of health research in community. 2023 Jan 10;8(4):51-9.
10. Sun Y, Koh V, Marimuthu K, Ng OT, Young B, Vasoo S, et al. Epidemiological and clinical predictors of COVID-19. Clinical Infectious Diseases. 2020;71(15):786-92. [DOI:10.1093/cid/ciaa322] [PMID] [PMCID]
11. Baker M, Fink S. At the top of the Covid-19 curve, how do hospitals decide who gets treatment. The New York Times. 2020.
12. Fink S. The hardest questions doctors may face: Who will be saved? Who won't. New York Times. 2020.
13. Phua J, Weng L, Ling L, Egi M, Lim C-M, Divatia JV, et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations. The lancet respiratory medicine. 2020;8(5):506-17. [DOI:10.1016/S2213-2600(20)30161-2] [PMID]
14. Davarpanah AH, Asgari R, Moharamzad Y, Mahdavi A, Abrishami A, Nekooghadam S, Sabri A, Zarei E, Khazaei M, Sanei Taheri M. Risk factors for poor outcome in patients with severe viral pneumonia on chest CT during the COVID-19 outbreak: a perspective from Iran. SN comprehensive clinical medicine. 2020;2(9):1366-76. [DOI:10.1007/s42399-020-00445-3] [PMID] [PMCID]
15. Bazargan M, Amirfakhriyan M. Geographical Analysis of COVID-19 Epidemiology in Iran with Exploratory Spatial Data Analysis Approach (ESDA). Journal of Military Medicine. 2020;22(6):542-52.
16. Wu F, Zhao S, Yu B, Chen Y-M, Wang W, Song Z-G, et al. Author Correction: A new coronavirus associated with human respiratory disease in China. Nature. 2020;580(7803):E7-E. [DOI:10.1038/s41586-020-2202-3] [PMID] [PMCID]
17. Sobhani S, Aryan R, Kalantari E, Soltani S, Malek N, Pirzadeh P, et al. Association between Clinical Characteristics and Laboratory Findings with Outcome of Hospitalized COVID-19 Patients: A Report from Northeast Iran. Interdisciplinary Perspectives on Infectious Diseases. 2021;2021:5552138. https://doi.org/10.1101/2021.01.23.21250359 [DOI:10.1155/2021/5552138]
18. Shahriarirad R, Khodamoradi Z, Erfani A, Hosseinpour H, Ranjbar K, Emami Y, et al. Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran. BMC infectious diseases. 2020;20(1):1-12. https://doi.org/10.21203/rs.3.rs-22435/v2 https://doi.org/10.21203/rs.3.rs-22435/v1 [DOI:10.1186/s12879-020-05128-x]
19. Laake JH, Buanes EA, Småstuen MC, Kvåle R, Olsen BF, Rustøen T, et al. Characteristics, management and survival of ICU patients with coronavirus disease-19 in Norway, March-June 2020. A prospective observational study. Acta Anaesthesiologica Scandinavica. 2021;65(5):618-28. [DOI:10.1111/aas.13785] [PMID] [PMCID]
20. Larsson E, Brattström O, Agvald-Öhman C, Grip J, Campoccia Jalde F, Strålin K, et al. Characteristics and outcomes of patients with COVID-19 admitted to ICU in a tertiary hospital in Stockholm, Sweden. Acta Anaesthesiologica Scandinavica. 2021;65(1):76-81. [DOI:10.1111/aas.13694] [PMID] [PMCID]
21. Alghamdi S. Clinical characteristics and treatment outcomes of severe (ICU) COVID-19 patients in Saudi Arabia: A single centre study. Saudi Pharmaceutical Journal. 2021 Oct 1;29(10):1096-101. [DOI:10.1016/j.jsps.2021.08.008] [PMID] [PMCID]
22. Elsharawy S, Amer I, Salama M, El-Lawaty W, Abd Elghafar M, Ghazi A, Hawash N. Clinical and Laboratory Predictors for ICU Admission‎ among COVID-19 Infected Egyptian Patients, A‎ multi-Center Study‎. Afro-Egyptian Journal of Infectious and Endemic Diseases. 2021 Sep 1;11(3):284-94. [DOI:10.21608/aeji.2021.82473.1155]
23. Phan T. Genetic diversity and evolution of SARS-CoV-2. Infection, genetics and evolution. 2020;81:104260. [DOI:10.1016/j.meegid.2020.104260] [PMID] [PMCID]
24. Chang R, Elhusseiny KM, Yeh Y-C, Sun W-Z. COVID-19 ICU and mechanical ventilation patient characteristics and outcomes-A systematic review and meta-analysis. PloS one. 2021;16(2):e0246318. [DOI:10.1371/journal.pone.0246318] [PMID] [PMCID]
25. Grasselli G, Pesenti A, Cecconi M. Critical care utilization for the COVID-19 outbreak in Lombardy, Italy: early experience and forecast during an emergency response. Jama. 2020 Apr 28;323(16):1545-6. [DOI:10.1001/jama.2020.4031] [PMID]
26. Carenzo L, Costantini E, Greco M, Barra F, Rendiniello V, Mainetti M, et al. Hospital surge capacity in a tertiary emergency referral centre during the COVID‐19 outbreak in Italy. Anaesthesia. 2020;75(7):928-34. [DOI:10.1111/anae.15072] [PMID]
27. Robert R, Reignier J, Tournoux-Facon C, Boulain T, Lesieur O, Gissot V, et al. Refusal of intensive care unit admission due to a full unit: impact on mortality. American journal of respiratory and critical care medicine. 2012;185(10):1081-7. [DOI:10.1164/rccm.201104-0729OC] [PMID]
28. Azoulay É, Pochard F, Chevret S, Vinsonneau C, Garrouste M, Cohen Y, et al. Compliance with triage to intensive care recommendations. Critical care medicine. 2001;29(11):2132-6. [DOI:10.1097/00003246-200111000-00014] [PMID]
29. Laffey JG, Bellani G, Pham T, Fan E, Madotto F, Bajwa EK, et al. Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: the LUNG SAFE study. Intensive care medicine. 2016;42(12):1865-76. [DOI:10.1007/s00134-016-4571-5] [PMID]
30. Sheikhi F, Mirkazehi Rigi Z, Azarkish F, Kalkali S, Seid Abadi M, Mirbaloochzehi A. Clinical and Demographic Characteristics of Patients with COVID-19 in Iranshahr Hospitals, Southeastern Iran in 2020. Journal of Marine Medicine. 2021;3(1):46-52.
31. Garcia PDW, Fumeaux T, Guerci P, Heuberger DM, Montomoli J, Roche-Campo F, et al. Prognostic factors associated with mortality risk and disease progression in 639 critically ill patients with COVID-19 in Europe: Initial report of the international RISC-19-ICU prospective observational cohort. EClinicalMedicine. 2020:100449.
32. Hou W, Zhang W, Jin R, Liang L, Xu B, Hu Z. Risk factors for disease progression in hospitalized patients with COVID-19: a retrospective cohort study. Infectious Diseases. 2020:1-8. [DOI:10.1080/23744235.2020.1759817] [PMID] [PMCID]
33. Ahmad S, Kumar P, Shekhar S, Saha R, Ranjan A, Pandey S. Epidemiological, clinical, and laboratory predictors of in-hospital mortality among COVID-19 patients admitted in a tertiary COVID dedicated hospital, Northern India: A retrospective observational study. Journal of primary care & community health. 2021;12:21501327211041486. [DOI:10.1177/21501327211041486] [PMID] [PMCID]
34. Wu J, Liu J, Zhao X, Liu C, Wang W, Wang D, et al. Clinical characteristics of imported cases of coronavirus disease 2019 (COVID-19) in Jiangsu Province: a multicenter descriptive study. Clinical Infectious Diseases. 2020;71(15):706-12. [DOI:10.1093/cid/ciaa199] [PMID] [PMCID]
35. Mardani R, Vasmehjani AA, Zali F, Gholami A, Nasab SDM, Kaghazian H, et al. Laboratory parameters in detection of COVID-19 patients with positive RT-PCR; a diagnostic accuracy study. Archives of academic emergency medicine. 2020;8(1):e43.
36. Sepulchre E, Pittie G, Stojkovic V, Haesbroek G, Crama Y, Schyns M, et al. Covid-19: contribution of clinical characteristics and laboratory features for early detection of patients with high risk of severe evolution. Acta Clinica Belgica. 2020:1-7. [DOI:10.1080/17843286.2020.1822078] [PMID]
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Kouchak F, Heidari A, Fazlekhoda M, Khatirnamani Z. Epidemiological and Paraclinical Outcome Characteristics of Patients with COVID-19 Admitted to the ICU of Golestan Province. j.health 2023; 14 (1) :91-102
URL: http://healthjournal.arums.ac.ir/article-1-2731-en.html


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Volume 14, Issue 1 (spring 2023) Back to browse issues page
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