Red Blood Cell Distribution Width Is Not a Predictor of Hospital Mortality in Elderly and Nonelderly COVID‐19‐Infected Patients: A Prospective Study at a Brazilian Quaternary University Hospital

<b>Objective:</b> To investigate if red blood cell distribution width (RDW) is a risk factor for hospital mortality in patients admitted to a public university hospital in Belo Horizonte, Minas Gerais, Brazil. <b>Methods:</b> This observational prospective study included patients over 16 years who had been hospitalized for COVID-19 between May and October 2020. A descriptive and time-to-death analysis was performed using the Cox proportional hazards model. <b>Results:</b> Of the 161 patients included, 39 (24.2%) died during hospitalization. A total of 2227 blood counts were performed, an average of 13.8 tests per patient (standard deviation, SD 2.9). Upon admission, the RDW was normal (11.5% to 14.6%) in 115 patients (71.4%), elevated in 45 (28%), and low in 1 (0.6%). The mean RDW value at admission was 14.5 (SD 2.4), which falls within the normal reference range. Of the patients with normal RDW at admission, 82 (71.3%) maintained normal levels throughout their stay, while 33 (28.7%) showed increased RDW levels over time. Among those with elevated RDW at admission, 40 (88.9%) remained elevated, while 5 (11.1%) returned to normal levels. There was no significant difference in the mean RDW value at admission between survivors and nonsurvivors (14.4 [SD 2.4] for survivors vs. 14.9 [SD 2.4] for nonsurvivors; <i>p</i>=0.2081). The risk for mortality in the group with high RDW upon admission was higher than in the group with normal RDW, but without statistical significance (31.1% vs. 21.7%; RR = 1.43; <i>p</i>=0.413). When performing a multivariate analysis, the following continue to be risk factors for lower survival: age > 70 years, HR 4.8 (95% CI: 2.3; 10.3), <i>p</i> < 0.001; white race, HR 3.2 (95% CI: 1.2; 8.61), <i>p</i>=0.018; and need for invasive MV, HR 3.8 (1.7; 8.7), <i>p</i>=0.001. The presence of a chest X-ray suggestive of COVID-19, HR 3.5 (95% CI: 1.0; 11.5), <i>p</i>=0.044, also appears to be a risk factor in this analysis. <b>Conclusion:</b> Alterations on RDW values on admission were not associated with higher mortality, and further increases in RDW during hospitalization were not linked to a higher risk of mortality across all age groups. Our findings suggest that while RDW may indicate disease severity, it may not serve as a reliable independent predictor of mortality when other factors are accounted for in this cohort.

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Journal
Canadian Journal of Infectious Diseases and Medical Microbiology
Published
2025-01-01
DOI
https://doi.org/10.1155/cjid/2118702
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Red Blood Cell Distribution Width Is Not a Predictor of Hospital Mortality in Elderly and Nonelderly COVID‐19‐Infected Patients: A Prospective Study at a Brazilian Quaternary University Hospital

Paula Frizera Vassallo, Unaí Tupinambás, Vandack Nobre, Thalyta Nogueira Fonseca et al.
Canadian Journal of Infectious Diseases and Medical Microbiology
Inflammatory Biomarkers in Disease Prognosis
article

Red Blood Cell Distribution Width Is Not a Predictor of Hospital Mortality in Elderly and Nonelderly COVID‐19‐Infected Patients: A Prospective Study at a Brazilian Quaternary University Hospital

Paula Frizera Vassallo, Unaí Tupinambás, Vandack Nobre, Thalyta Nogueira Fonseca, Carla Jorge Machado, Cecilia Gómez Ravetti, Máderson Alvares de Souza Cabral, Helena Duani, Milena Soriano Marcolino
article en

Abstract

<b>Objective:</b> To investigate if red blood cell distribution width (RDW) is a risk factor for hospital mortality in patients admitted to a public university hospital in Belo Horizonte, Minas Gerais, Brazil. <b>Methods:</b> This observational prospective study included patients over 16 years who had been hospitalized for COVID-19 between May and October 2020. A descriptive and time-to-death analysis was performed using the Cox proportional hazards model. <b>Results:</b> Of the 161 patients included, 39 (24.2%) died during hospitalization. A total of 2227 blood counts were performed, an average of 13.8 tests per patient (standard deviation, SD 2.9). Upon admission, the RDW was normal (11.5% to 14.6%) in 115 patients (71.4%), elevated in 45 (28%), and low in 1 (0.6%). The mean RDW value at admission was 14.5 (SD 2.4), which falls within the normal reference range. Of the patients with normal RDW at admission, 82 (71.3%) maintained normal levels throughout their stay, while 33 (28.7%) showed increased RDW levels over time. Among those with elevated RDW at admission, 40 (88.9%) remained elevated, while 5 (11.1%) returned to normal levels. There was no significant difference in the mean RDW value at admission between survivors and nonsurvivors (14.4 [SD 2.4] for survivors vs. 14.9 [SD 2.4] for nonsurvivors; <i>p</i>=0.2081). The risk for mortality in the group with high RDW upon admission was higher than in the group with normal RDW, but without statistical significance (31.1% vs. 21.7%; RR = 1.43; <i>p</i>=0.413). When performing a multivariate analysis, the following continue to be risk factors for lower survival: age > 70 years, HR 4.8 (95% CI: 2.3; 10.3), <i>p</i> < 0.001; white race, HR 3.2 (95% CI: 1.2; 8.61), <i>p</i>=0.018; and need for invasive MV, HR 3.8 (1.7; 8.7), <i>p</i>=0.001. The presence of a chest X-ray suggestive of COVID-19, HR 3.5 (95% CI: 1.0; 11.5), <i>p</i>=0.044, also appears to be a risk factor in this analysis. <b>Conclusion:</b> Alterations on RDW values on admission were not associated with higher mortality, and further increases in RDW during hospitalization were not linked to a higher risk of mortality across all age groups. Our findings suggest that while RDW may indicate disease severity, it may not serve as a reliable independent predictor of mortality when other factors are accounted for in this cohort.

Canadian Journal of Infectious Diseases and Medical MicrobiologyVol. 2025(1)
Universidade Federal de Minas Gerais (BR), Hospital das Clínicas da Universidade Federal de Minas Gerais (BR)
Openalex Percentile: Top 66%
Inflammatory Biomarkers in Disease Prognosis
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