THE EFFECT OF BLOOD PARAMETERS ON EMERGENCY DEPARTMENT FOLLOW-UP TIME AND HOSPITALIZATION STATUS IN COPD

BACKGROUND AND AIM Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease of the airways and lungs. Neutrophils are the blood cells that respond most early to inflammation. In many studies, the Neutrophil/Lymphocyte ratio has been shown to be an important component of the inflammatory response. RDW is a routine component of the hemogram, which shows heterogeneity in erythrocyte size and is used as a laboratory value for anemia. Research has shown that high RDW can be used as an indicator of poor prognosis in COPD. We aimed to show the effect of NLR and RDW values on morbidity by examining the correlation with length of hospital stay in COPD patients. MATERIALS AND METHODS Complete blood count data and length of hospital stay of COPD patients who were admitted to the emergency department of our hospital with symptoms of COPD exacerbation in the last six months were investigated retrospectively. The relationship between RDW values in complete blood count and neutrophil/lymphocyte ratios (NLR) in the emergency department and inpatient admission rates was examined. RESULTS A total of 101 patients, 69.3% of whom were male, were diagnosed with COPD and admitted to the emergency department with acute respiratory failure were included in the study. As a result of the statistical study, there is a significant difference in RDW-SW and NLR values according to the length of stay in the emergency department. CONCLUSION In our study, we observed that patients with higher RDW and NLR values had longer hospital stays. This has shown that RDW and NLR measurements may be important in determining the morbidity of the disease.

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Journal
Eurasian Journal of Critical Care
Published
2024-12-30
DOI
https://doi.org/10.55994/ejcc.1609154
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

THE EFFECT OF BLOOD PARAMETERS ON EMERGENCY DEPARTMENT FOLLOW-UP TIME AND HOSPITALIZATION STATUS IN COPD

Sema Ayten
Eurasian Journal of Critical Care
Inflammatory Biomarkers in Disease Prognosis
article

THE EFFECT OF BLOOD PARAMETERS ON EMERGENCY DEPARTMENT FOLLOW-UP TIME AND HOSPITALIZATION STATUS IN COPD

Sema Ayten
article en

Abstract

BACKGROUND AND AIM Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease of the airways and lungs. Neutrophils are the blood cells that respond most early to inflammation. In many studies, the Neutrophil/Lymphocyte ratio has been shown to be an important component of the inflammatory response. RDW is a routine component of the hemogram, which shows heterogeneity in erythrocyte size and is used as a laboratory value for anemia. Research has shown that high RDW can be used as an indicator of poor prognosis in COPD. We aimed to show the effect of NLR and RDW values on morbidity by examining the correlation with length of hospital stay in COPD patients. MATERIALS AND METHODS Complete blood count data and length of hospital stay of COPD patients who were admitted to the emergency department of our hospital with symptoms of COPD exacerbation in the last six months were investigated retrospectively. The relationship between RDW values in complete blood count and neutrophil/lymphocyte ratios (NLR) in the emergency department and inpatient admission rates was examined. RESULTS A total of 101 patients, 69.3% of whom were male, were diagnosed with COPD and admitted to the emergency department with acute respiratory failure were included in the study. As a result of the statistical study, there is a significant difference in RDW-SW and NLR values according to the length of stay in the emergency department. CONCLUSION In our study, we observed that patients with higher RDW and NLR values had longer hospital stays. This has shown that RDW and NLR measurements may be important in determining the morbidity of the disease.

Eurasian Journal of Critical CareVol. 6(3)
Istanbul Medeniyet University (TR)
Good health and well-being
Openalex Percentile: Top 58%
Inflammatory Biomarkers in Disease Prognosis
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