Research Article

Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients

Volume: 4 Number: 5 October 27, 2023
EN TR

Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients

Abstract

Abstract Aim: The mortality data available in the literature with regard to patients infected with SARS-COV-2, thus requiring hospitalization in the Intensive Care Unit (ICU) are not sufficient. This research aims to compare the correlation between COVID-19 Mortality Ratios (CMR), AST/ALT and neutrophil/lymphocyte (N/L) ratios of non-smoker COVID-19 patients hospitalized in the ICU and their mortality rates. Methods: This cross-sectional study was conducted on 77 patients hospitalized in the ICU. Female participants constituted 64.9% (n = 50) of the study group while male made up 35.1% (n = 27); the mean age was 61.3±14.3 and 66.2% (n = 51) of the patients died. To exclude the adverse effect of smoking on mortality, patients were confirmed to be non-smokers by analyzing the cotinine levels in urine samples. For this purpose, patients' age, gender, comorbidities, fever, pulse, blood pressure, saturation values, APACHE scores and biochemical parameters were evaluated. Results: In the study, 66.2% (n=51) of the patients died during follow-up. Age, urea, creatinine, AST/ALT, N/L ratio and CMR values of the nonsurvivors were significantly higher than those of the survivors. The systolic blood pressure and lymphocyte values of non-survivors were lower than survivors. Conclusions: The conclusion of the study revealed that CMR scores, AST/ALT levels and the N/L ratio can effectively be utilized in early period to project the mortality rates of non (active) smoking patients with critical COVID-19 infection hospitalized in the ICU.

Keywords

Supporting Institution

Bagcilar Egitim ve Arastirma Hastanesi Klinik Arastirmalar Etik Kurulu

Project Number

2020.05.2.02.058

References

  1. Salah HM, Sharma T, Mehta J. Smoking doubles the mortality risk in COVID-19: a meta-analysis of recent reports and potential mechanisms. Cureus. 2020;12(10):e10837. doi: 10.7759/cureus.10837
  2. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for disease control and prevention. JAMA. 2020;323(13):1239-1242. doi: 10.1001/jama.2020.2648
  3. Dong Y, Mo X, Hu Y, et al. Epidemiology of COVID-19 among children in China. Pediatrics. 2020;145(6):e20200702. doi: 10.1542/peds.2020-0702
  4. Barda N, Riesel D, Akriv A, et al. Developing a COVID-19 mortality risk prediction model when individual-level data are not available. Nat Commun. 2020;11(1):4439. doi: 10.1038/s41467-020-18297-9
  5. Imran A, Posokhova I, Qureshi HN, et al. AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app. Inform Med Unlocked. 2020;20:100378. doi: 10.1016/j.imu.2020.100378
  6. Abdulaal A, Patel A, Charani E, Denny S, Mughal N, Moore L. Prognostic modeling of COVID-19 using artificial intelligence in the United Kingdom: model development and validation. J Med Internet Res. 2020;22(8):e20259. doi: 10.2196/20259
  7. Bertsimas D, Lukin G, Mingardi L, et al. COVID-19 mortality risk assessment: An international multi-center study. PLoS One. 2020;15(12):e0243262. doi: 10.1371/journal.pone.0243262
  8. Chen T, Guestrin C. XGBoost: a scalable tree boosting system. proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining. 2016.pp.785-794.

Details

Primary Language

English

Subjects

Health Systems, Medical Education

Journal Section

Research Article

Early Pub Date

October 26, 2023

Publication Date

October 27, 2023

Submission Date

August 21, 2023

Acceptance Date

October 14, 2023

Published in Issue

Year 2023 Volume: 4 Number: 5

APA
Sağlam, E., Savaş, A., Öke, D., Özlü, C., Koçar, B., & Erkalp, K. (2023). Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients. Journal of Medicine and Palliative Care, 4(5), 572-578. https://doi.org/10.47582/jompac.1346978
AMA
1.Sağlam E, Savaş A, Öke D, Özlü C, Koçar B, Erkalp K. Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients. J Med Palliat Care / JOMPAC / jompac. 2023;4(5):572-578. doi:10.47582/jompac.1346978
Chicago
Sağlam, Emel, Arif Savaş, Deniz Öke, Can Özlü, Begüm Koçar, and Kerem Erkalp. 2023. “Intensive Care Unit: Mortality Score in Early Prediction of Mortality in Critical COVID-19 Patients”. Journal of Medicine and Palliative Care 4 (5): 572-78. https://doi.org/10.47582/jompac.1346978.
EndNote
Sağlam E, Savaş A, Öke D, Özlü C, Koçar B, Erkalp K (October 1, 2023) Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients. Journal of Medicine and Palliative Care 4 5 572–578.
IEEE
[1]E. Sağlam, A. Savaş, D. Öke, C. Özlü, B. Koçar, and K. Erkalp, “Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients”, J Med Palliat Care / JOMPAC / jompac, vol. 4, no. 5, pp. 572–578, Oct. 2023, doi: 10.47582/jompac.1346978.
ISNAD
Sağlam, Emel - Savaş, Arif - Öke, Deniz - Özlü, Can - Koçar, Begüm - Erkalp, Kerem. “Intensive Care Unit: Mortality Score in Early Prediction of Mortality in Critical COVID-19 Patients”. Journal of Medicine and Palliative Care 4/5 (October 1, 2023): 572-578. https://doi.org/10.47582/jompac.1346978.
JAMA
1.Sağlam E, Savaş A, Öke D, Özlü C, Koçar B, Erkalp K. Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients. J Med Palliat Care / JOMPAC / jompac. 2023;4:572–578.
MLA
Sağlam, Emel, et al. “Intensive Care Unit: Mortality Score in Early Prediction of Mortality in Critical COVID-19 Patients”. Journal of Medicine and Palliative Care, vol. 4, no. 5, Oct. 2023, pp. 572-8, doi:10.47582/jompac.1346978.
Vancouver
1.Emel Sağlam, Arif Savaş, Deniz Öke, Can Özlü, Begüm Koçar, Kerem Erkalp. Intensive care unit: mortality score in early prediction of mortality in critical COVID-19 patients. J Med Palliat Care / JOMPAC / jompac. 2023 Oct. 1;4(5):572-8. doi:10.47582/jompac.1346978

Cited By

TR DİZİN ULAKBİM and International Indexes (1d)

Interuniversity Board (UAK) Equivalency: Article published in Ulakbim TR Index journal [10 POINTS], and Article published in other (excuding 1a, b, c) international indexed journal (1d) [5 POINTS]
 


 

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