INVESTIGATION OF THE EFFECT OF GENDER ON LABORATORY PARAMETERS AND LENGTH OF HOSPITAL STAY IN HOSPITALIZED COVID-19 PATIENTS: A RETROSPECTIVE STUDY

The aim of this study is to retrospectively compare the demographic data, biochemical parameters, and length of hospital stay of patients hospitalized due to COVID-19 according to gender, and to determine the effect of gender on the COVID-19. A total of 191 COVID-19 patients who were hospitalized and treated in the hospital were included in the study. Statistical analyses of the data were performed using Jamovi V. 1.8.1 software. The distribution of the data was checked for homogeneity with the Levene test, and the WBC and day parameters were tested using the Mann Whitney-U test, while other parameters were tested with t-test in independent variables. p<0.05 was considered statistically significant. According to the results of our study, the average age of male patients was found to be 64.58+14.52, while the average age of female patients was found to be 70.72+12.74. Statistically significant differences were found between male and female COVID-19 patients in terms of hemoglobin, monocyte count, and length of hospital stay, except for the age parameter. No differences were found in other biochemical or inflammatory parameters examined, such as D-dimer, AST, ALT, or CRP. In female patients, hemoglobin levels, monocyte levels, and length of hospital stay were lower compared to males. The average length of hospital stay was 7.55 days in males and 7.45 days in females. Our retrospective analysis revealed that gender differences have an impact on COVID-19. We believe it is necessary to further explore the impact of gender on COVID-19 infection to better understand how to address this public health issue.

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Publication Details

Journal
Journal of Applied Biological Sciences
Published
2024-10-01
DOI
https://doi.org/10.71336/jabs.1380
Primary Topic
COVID-19 Clinical Research Studies
Type
article
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article

INVESTIGATION OF THE EFFECT OF GENDER ON LABORATORY PARAMETERS AND LENGTH OF HOSPITAL STAY IN HOSPITALIZED COVID-19 PATIENTS: A RETROSPECTIVE STUDY

Seda Ekici, Akın Yiğin, Mehmet Fatih Demirci, Ümit Murat Parpucu et al.
Journal of Applied Biological Sciences
COVID-19 Clinical Research Studies
article

INVESTIGATION OF THE EFFECT OF GENDER ON LABORATORY PARAMETERS AND LENGTH OF HOSPITAL STAY IN HOSPITALIZED COVID-19 PATIENTS: A RETROSPECTIVE STUDY

Seda Ekici, Akın Yiğin, Mehmet Fatih Demirci, Ümit Murat Parpucu, Barış Güngör, A. Zeki Şengil, Dilek DÜLGER
article en

Abstract

The aim of this study is to retrospectively compare the demographic data, biochemical parameters, and length of hospital stay of patients hospitalized due to COVID-19 according to gender, and to determine the effect of gender on the COVID-19. A total of 191 COVID-19 patients who were hospitalized and treated in the hospital were included in the study. Statistical analyses of the data were performed using Jamovi V. 1.8.1 software. The distribution of the data was checked for homogeneity with the Levene test, and the WBC and day parameters were tested using the Mann Whitney-U test, while other parameters were tested with t-test in independent variables. p<0.05 was considered statistically significant. According to the results of our study, the average age of male patients was found to be 64.58+14.52, while the average age of female patients was found to be 70.72+12.74. Statistically significant differences were found between male and female COVID-19 patients in terms of hemoglobin, monocyte count, and length of hospital stay, except for the age parameter. No differences were found in other biochemical or inflammatory parameters examined, such as D-dimer, AST, ALT, or CRP. In female patients, hemoglobin levels, monocyte levels, and length of hospital stay were lower compared to males. The average length of hospital stay was 7.55 days in males and 7.45 days in females. Our retrospective analysis revealed that gender differences have an impact on COVID-19. We believe it is necessary to further explore the impact of gender on COVID-19 infection to better understand how to address this public health issue.

Journal of Applied Biological SciencesVol. 18(3)
Openalex Percentile: Top 68%
COVID-19 Clinical Research Studies
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