Independent Predictors of Mortality in ICU Patients with COVID-19

Mehmet Ozel; Songül Araç; Hasan Akkoç; Eşref Araç

Makale detayları

Independent Predictors of Mortality in ICU Patients with COVID-19

Yazarlar:

Mehmet Ozel | Songül Araç | Hasan Akkoç | Eşref Araç

Yayıncı:

Dicle University

Ana Başlıklar:

Tıp Eğitimi

Dergi:

Dicle Tıp Dergisi Vol.50 Issue 4, pp.470-481

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001307236

pISSN:

1300-2945

Anahtar kelimeler:

Özet:

 Objective: Early identification of Coronavirus disease 2019 COVID-19 patients at high mortality risk can improve patient care and prevent deaths. To identify prognostic predictors that increase COVID-19 patient mortality risk in the Intensive Care Unit ICU. Methods: Retrospective analysis of clinical characteristics and serological biomarkers of ICU-COVID-19 patients was performed in a tertiary hospital from 24 March 2020 to 20 December 2020. Analysis was conducted on two groups of study participants: survivors and deceased. Multivariate logistic regression was used to determine mortality risk. In order to determine prognostic predictors, the ANOVA test was used to compare the data of serological biomarkers on the day of patients admission to the ICU and on the 5th day of follow-up. Results: A total of 335 patients 54.65 were in the deceased group, and 278 45.35 were in the survivors group. A statistically significant difference was found between the deceased and survivor groups regarding mean age p0.001. According to multivariate analyses of patients data, age, oxygen saturation, direct bilirubin, and ionized calcium were independent predictors of mortality p 0.05. According to this analysis, age OR1.035, p0.002, 95CI 1.013-1.058, peripheral capillary oxygen saturation SpO2 OR0.912, p0.001, 95CI 0,873-0.953, direct bilirubin OR6.821, p0.024, 95CI 0.282-36.285, ionized calcium OR30.524, p0.035, 95CI 1.262-738.34 was found that it increased the risk of mortality. In the multivariate logistic regression analysis, it was found that gender, age, and comorbidities had the highest odds ratios in terms of mortality. Conclusion: The study revealed that advanced age, low SpO2, high direct bilirubin, and elevated ionized calcium levels were independent predictors of mortality for COVID-19 patients in the ICU.

 Objective: Early identification of Coronavirus disease 2019 COVID-19 patients at high mortality risk can improve patient care and prevent deaths. To identify prognostic predictors that increase COVID-19 patient mortality risk in the Intensive Care Unit ICU. Methods: Retrospective analysis of clinical characteristics and serological biomarkers of ICU-COVID-19 patients was performed in a tertiary hospital from 24 March 2020 to 20 December 2020. Analysis was conducted on two groups of study participants: survivors and deceased. Multivariate logistic regression was used to determine mortality risk. In order to determine prognostic predictors, the ANOVA test was used to compare the data of serological biomarkers on the day of patients admission to the ICU and on the 5th day of follow-up. Results: A total of 335 patients 54.65 were in the deceased group, and 278 45.35 were in the survivors group. A statistically significant difference was found between the deceased and survivor groups regarding mean age p0.001. According to multivariate analyses of patients data, age, oxygen saturation, direct bilirubin, and ionized calcium were independent predictors of mortality p 0.05. According to this analysis, age OR1.035, p0.002, 95CI 1.013-1.058, peripheral capillary oxygen saturation SpO2 OR0.912, p0.001, 95CI 0,873-0.953, direct bilirubin OR6.821, p0.024, 95CI 0.282-36.285, ionized calcium OR30.524, p0.035, 95CI 1.262-738.34 was found that it increased the risk of mortality. In the multivariate logistic regression analysis, it was found that gender, age, and comorbidities had the highest odds ratios in terms of mortality. Conclusion: The study revealed that advanced age, low SpO2, high direct bilirubin, and elevated ionized calcium levels were independent predictors of mortality for COVID-19 patients in the ICU.

 Objective: Early identification of Coronavirus disease 2019 COVID-19 patients at high mortality risk can improve patient care and prevent deaths. To identify prognostic predictors that increase COVID-19 patient mortality risk in the Intensive Care Unit ICU. Methods: Retrospective analysis of clinical characteristics and serological biomarkers of ICU-COVID-19 patients was performed in a tertiary hospital from 24 March 2020 to 20 December 2020. Analysis was conducted on two groups of study participants: survivors and deceased. Multivariate logistic regression was used to determine mortality risk. In order to determine prognostic predictors, the ANOVA test was used to compare the data of serological biomarkers on the day of patients admission to the ICU and on the 5th day of follow-up. Results: A total of 335 patients 54.65 were in the deceased group, and 278 45.35 were in the survivors group. A statistically significant difference was found between the deceased and survivor groups regarding mean age p0.001. According to multivariate analyses of patients data, age, oxygen saturation, direct bilirubin, and ionized calcium were independent predictors of mortality p 0.05. According to this analysis, age OR1.035, p0.002, 95CI 1.013-1.058, peripheral capillary oxygen saturation SpO2 OR0.912, p0.001, 95CI 0,873-0.953, direct bilirubin OR6.821, p0.024, 95CI 0.282-36.285, ionized calcium OR30.524, p0.035, 95CI 1.262-738.34 was found that it increased the risk of mortality. In the multivariate logistic regression analysis, it was found that gender, age, and comorbidities had the highest odds ratios in terms of mortality. Conclusion: The study revealed that advanced age, low SpO2, high direct bilirubin, and elevated ionized calcium levels were independent predictors of mortality for COVID-19 patients in the ICU.

 Objective: Early identification of Coronavirus disease 2019 COVID-19 patients at high mortality risk can improve patient care and prevent deaths. To identify prognostic predictors that increase COVID-19 patient mortality risk in the Intensive Care Unit ICU. Methods: Retrospective analysis of clinical characteristics and serological biomarkers of ICU-COVID-19 patients was performed in a tertiary hospital from 24 March 2020 to 20 December 2020. Analysis was conducted on two groups of study participants: survivors and deceased. Multivariate logistic regression was used to determine mortality risk. In order to determine prognostic predictors, the ANOVA test was used to compare the data of serological biomarkers on the day of patients admission to the ICU and on the 5th day of follow-up. Results: A total of 335 patients 54.65 were in the deceased group, and 278 45.35 were in the survivors group. A statistically significant difference was found between the deceased and survivor groups regarding mean age p0.001. According to multivariate analyses of patients data, age, oxygen saturation, direct bilirubin, and ionized calcium were independent predictors of mortality p 0.05. According to this analysis, age OR1.035, p0.002, 95CI 1.013-1.058, peripheral capillary oxygen saturation SpO2 OR0.912, p0.001, 95CI 0,873-0.953, direct bilirubin OR6.821, p0.024, 95CI 0.282-36.285, ionized calcium OR30.524, p0.035, 95CI 1.262-738.34 was found that it increased the risk of mortality. In the multivariate logistic regression analysis, it was found that gender, age, and comorbidities had the highest odds ratios in terms of mortality. Conclusion: The study revealed that advanced age, low SpO2, high direct bilirubin, and elevated ionized calcium levels were independent predictors of mortality for COVID-19 patients in the ICU.

Makale detayları

Independent Predictors of Mortality in ICU Patients with COVID-19

Yazarlar:

Mehmet Ozel | Songül Araç | Hasan Akkoç | Eşref Araç

Yayıncı:

Dicle University

Ana Başlıklar:

Tıp Eğitimi

Dergi:

Dicle Tıp Dergisi Vol.50 Issue 4, pp.470-481

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001307236

pISSN:

1300-2945

COVID-19

Intensive Care Unit

Mortality

Prognostic Predictors

Sayı

Makale detayları

Independent Predictors of Mortality in ICU Patients with COVID-19

Yazarlar: Mehmet Ozel | Songül Araç | Hasan Akkoç | Eşref Araç

Yayıncı: Dicle University

Ana Başlıklar: Tıp Eğitimi

Dergi: Dicle Tıp Dergisi Vol.50 Issue 4, pp.470-481

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001307236

pISSN: 1300-2945

COVID-19

Intensive Care Unit

Mortality

Prognostic Predictors

Sayı

Yazarlar:

Mehmet Ozel | Songül Araç | Hasan Akkoç | Eşref Araç

Yayıncı:

Dicle University

Ana Başlıklar:

Tıp Eğitimi

Dergi:

Dicle Tıp Dergisi Vol.50 Issue 4, pp.470-481

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001307236

pISSN:

1300-2945