Comorbid Factors Affecting the Outcome of Covid 19 in the Intensive Care Unit of Dr. Kariadi Hospital, Semarang

Authors

  • Sofyan Harahap Bagian Anestesiologi dan Terapi Intensif Fakultas Kedokteran Universitas Diponegoro/ RSUP Dr. Kariadi Semarang, Indonesia
  • Harry Mulyono Bagian Anestesiologi dan Terapi Intensif Fakultas Kedokteran Universitas Diponegoro/ RSUP Dr. Kariadi Semarang, Indonesia
  • Danu Soesilowati Bagian Anestesiologi dan Terapi Intensif Fakultas Kedokteran Universitas Diponegoro/ RSUP Dr. Kariadi Semarang, Indonesia

DOI:

https://doi.org/10.36408/mhjcm.v8i3.606

Keywords:

covid 19 outcome, coronavirus, predictors of mortality

Abstract

BACKGROUND : Sars-Cov2 has become a pandemic and caused health problems. Several factors that worsen the condition of Covid-19 include age, previous comorbid diseases, secondary infections, and increased inflammatory indicators. There are many studies on the factors that influence the outcome of Covid-19, but the results are inconsistent. Thus, specific research in certain areas is needed so that it can be used in local management.

OBJECTIVE: This study aims to determine the factors that influence the outcome of Covid-19 in the intensive care unit of the Dr. Kariadi Hospital

METHOD : This study analyzed covid 19 patients in the ICU of Dr Kariadi Hospital for the period March-September 2020 with a retrospective method and purposive sampling. The hypothesis test used is adjusted to the measurement scale of each variable. The initial analysis was univariate using chi-square, fisher, t-test, and mann-whitney.

RESULT : From this study, it was found that the factors that influence the covid-19 outcome in a bivariate include a history of heart disease (p = 0.037), temperature (p = 0.012), respiratory rate (p = 0.030), oxygen saturation (p = 0.021), platelets ( p = 0.015), ureum (p = 0.034), PO2 (p = 0.002), oxygen fraction (FiO2) (p = 0.034), AaDO2 (p = 0.004), and PFR (p = 0.001).

CONCLUSION : History of heart disease, temperature, respiratory rate, oxygen saturation, platelets, urea, PO2, required oxygen fraction (FiO2), AaDO2, and PFR were predictors of Covid-19 mortality which were both theoretically and statistically significant.,independent or simultaneously

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References

Laing, Timothy. 2020. The economic impact of the coronavirus 2019 (Covid-19): Implications for the mining industry. The extractive industries and society. 7: 580-582

WHO. WHO Coronavirus Disease. 2021. Diakses tanggal 18/2/2021 tersedia di https://covid19.who.int/

RM. Situasi Terkini Perkembangan Coronavirus Disease (COVID-19) 18 Februari 2021. Infeksiemerging. 2021. Diakses tanggal 18/2/2021 tersedia di https://infeksiemerging.kemkes.go.id/situasi-infeksi-emerging/situasi-terkini-perkembangan-coronavirus-disease-covid-19-18-februari-2021#

Pemprov Jateng. Statistik Kasus Covid 19 Jawa Tangeh. 2021. Tanggap Covid 19. Diakses tanggal 18/2/2021 tersedia di https://corona.Jatengprov.go.id

Ruan Q, Yang K, Wang W, et al. Clinical Predictors of mortality due to Covid-19 based om an alanlysis of Data 15 Patients from Wuhan China. 2020. Intensive Care Med. 46:846-848 https://doi.org/10.1007/s00134-020-05991-x

Zhou F, Yu T, Du R, et al. 2020. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 395: 1054–62

Du R-H, Liang L-R, Yang C-Q, et al. 2020. Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study. Eur Respir J. 55: 2000524 [https://doi.org/10.1183/13993003.00524-2020]

Bahl A, Baalen MN, Ortiz L, et al. 2020. Early predictors of in hospital mortality in patients with COVID 19 in a large American cohort. Internal and Emergency Medicine. https://doi.org/10.1007/s11739-020-02509-7

Santus P, Radovanovic D, Saderi L, et al. 2020. Severity of respiratory failure at admission and in-hospital mortality in patients with COVID-19: a

prospective observational multicentre study. BMJ Open;10:e043651. doi:10.1136/bmjopen-2020-043651

Tharakan S, Nomoto K, Miyashita S, Ishikawa K. 2020. Body temperature correlates with mortality in COVID-19 patients.Critical Care. 24:298 https://doi.org/10.1186/s13054-020-03045-8

Carlino MV, Valenti N, Cesaro F, Costanzo A, Cristiano G, et al. 2020. Predictors of Intensive Care Unit admission in patients with coronavirus disease 2019 (COVID-19). Monaldi Archives for Chest Disease. 90:1410. DOI: 10.4081/monaldi.2020.1410

Vivas PF, Doidge J, Thomas K, Gould DW, Mouncey P, et al. Prognostic Factors for 30-Day Mortality in Critically Ill Patients With Coronavirus Disease 2019: An Observational Cohort Study. 2021. The Society of Critical Care Medicine and Wolters Kluwer Health. Vol.49/1. DOI: 10.1097/CCM.0000000000004740

Bao C , Tao X, Cui W, Yi B, Pan T, et al. 2020. SARS-CoV-2 induced thrombocytopenia as an important biomarker significantly correlated with abnormal coagulation function, increased intravascular blood clot risk and mortality in COVID-19 patients. Exp Hematol Oncol 9:16 https://doi.org/10.1186/s40164-020-00172-4

Bonetti G, Manelli F, Patroni A, Bettinardi A, Borrelli G, et al. 2020. Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy. Clin Chem Lab Med; 58(7): 1100–1105 https://doi.org/10.1515/cclm-2020-0459

Mej?´a F, Medina C, Cornejo E, Morello E, Va´squez S, Alave J, et al. 2020. Oxygen saturation as a predictor of mortality in hospitalized adult patients with COVID-19 in a public hospital in Lima, Peru. PLoS ONE. 15(12): e0244171. https://doi.org/10.1371/journal.pone.0244171

Additional Files

Published

2021-11-05

How to Cite

1.
Harahap S, Mulyono H, Soesilowati D. Comorbid Factors Affecting the Outcome of Covid 19 in the Intensive Care Unit of Dr. Kariadi Hospital, Semarang. Medica Hospitalia J. Clin. Med. [Internet]. 2021 Nov. 5 [cited 2024 Apr. 26];8(3):356-62. Available from: http://medicahospitalia.rskariadi.co.id/medicahospitalia/index.php/mh/article/view/606

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