Predictive biomarkers for severity of respiratory syndrome: the role of eGFR and hematological parameters in ICU patients

Introduction: Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and their impact on organ function. Insights from these studies are essential for managing current and future pandemics and improving patient outcomes in respiratory health crises. This study investigates the behavior of the estimated glomerular filtration rate (eGFR) and its correlation with hematological parameters in ICU patients with COVID-19. Objective: To assess eGFR behavior and its correlation with hematological parameters in respiratory syndromes ICU patients. Materials and Methods: 217 patient records were analyzed, with 144 discharged and 73 deaths. Patients were divided into discharge and death groups and laboratory parameters such as glomerular filtration rate and blood count were.evaluated at admission and outcome. Results and Discussion: There was a significant reduction in eGFR among patients in the death group at both admission and outcome. Significant correlations were observed between eGFR and hemoglobin (Hb), total neutrophils (N), and platelets (PLT) at the outcome. These findings suggest that the reduction in eGFR is a predictor of poor prognosis in COVID-19 ICU patients. Additionally, the significant correlations between eGFR and hematological parameters highlight their role in the inflammatory process and clinical deterioration. Conclusion: The reduction of eGFR is a significant predictor of poor prognosis in ICU patients with COVID-19. Significant correlations between eGFR and hematological parameters underscore their importance in the inflammatory process and disease progression. Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and improving critical care strategies for future respiratory health crises.

Authors

Publication Details

Journal
DELOS Desarrollo Local Sostenible
Published
2024-11-08
DOI
https://doi.org/10.55905/rdelosv17.n61-052
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive biomarkers for severity of respiratory syndrome: the role of eGFR and hematological parameters in ICU patients

Matias Nunes Frizzo, Pauline Brendler Goettems-Fiorin, Cláudia Sirlene Oliveira, Julia Pacheco et al.
DELOS Desarrollo Local Sostenible
Radiomics and Machine Learning in Medical Imaging
article

Predictive biomarkers for severity of respiratory syndrome: the role of eGFR and hematological parameters in ICU patients

Matias Nunes Frizzo, Pauline Brendler Goettems-Fiorin, Cláudia Sirlene Oliveira, Julia Pacheco, Kassandra Cristina Gaklik, Ana Laura Tochetto
article en

Abstract

Introduction: Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and their impact on organ function. Insights from these studies are essential for managing current and future pandemics and improving patient outcomes in respiratory health crises. This study investigates the behavior of the estimated glomerular filtration rate (eGFR) and its correlation with hematological parameters in ICU patients with COVID-19. Objective: To assess eGFR behavior and its correlation with hematological parameters in respiratory syndromes ICU patients. Materials and Methods: 217 patient records were analyzed, with 144 discharged and 73 deaths. Patients were divided into discharge and death groups and laboratory parameters such as glomerular filtration rate and blood count were.evaluated at admission and outcome. Results and Discussion: There was a significant reduction in eGFR among patients in the death group at both admission and outcome. Significant correlations were observed between eGFR and hemoglobin (Hb), total neutrophils (N), and platelets (PLT) at the outcome. These findings suggest that the reduction in eGFR is a predictor of poor prognosis in COVID-19 ICU patients. Additionally, the significant correlations between eGFR and hematological parameters highlight their role in the inflammatory process and clinical deterioration. Conclusion: The reduction of eGFR is a significant predictor of poor prognosis in ICU patients with COVID-19. Significant correlations between eGFR and hematological parameters underscore their importance in the inflammatory process and disease progression. Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and improving critical care strategies for future respiratory health crises.

DELOS Desarrollo Local SostenibleVol. 17(61)
Northwestern University, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Good health and well-being
Openalex Percentile: Top 67%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.