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Combination of red blood cell distribution width and body mass index (COR-BMI) predicts in-hospital mortality in patients with different diagnoses?
- Source :
-
PloS one [PLoS One] 2019 Jul 15; Vol. 14 (7), pp. e0219549. Date of Electronic Publication: 2019 Jul 15 (Print Publication: 2019). - Publication Year :
- 2019
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Abstract
- Background: The combination of red blood cell distribution width and body mass index (COR-BMI) is indicated as a new prognostic index of survival in patients with laryngeal cancer. However, the ability of this prediction in other types of cancer or whether its use can be expanded to non-oncological patients is unknown. The aim of this study was to investigate the prediction of prognosis of in-hospital mortality of the COR-BMI in oncological and non-oncological patients.<br />Methods: A retrospective study was performed with all hospitalized patients between 2014 and 2016, totaling 2930 patients, 262 oncological and 2668 non-oncological. The COR-BMI was divided into three classes: 0, RDW ≤ 13.1% and BMI ≥ 25 kg/m2; 1, RDW ≤ 13.1% and BMI < 18.5 or ≥ 18.5 but < 25 kg/m2 and RDW > 13.1% and BMI ≥ 18.5 but < 25 or BMI ≥ 25 kg/m2; and 2, RDW > 13.1% and BMI < 18.5 kg/m2. In order to analyze the relationship between COR-BMI and in-hospital mortality in the studied population, the Cox Proportional Hazards Model was used in a multivariate analysis based on a conceptual model.<br />Results: The COR-BMI was an independent predictor of in-hospital mortality in non-oncological patients (1 versus 0: HR = 3.34; CI = 1.60-6.96, p = 0.001; 2 versus 0: HR = 3.38; CI = 1.22-9.39, p = 0.019). The survival rate of these patients was lower among those with the highest scores on the COR-BMI. This prediction was not found in oncological patients.<br />Conclusion: The present study suggests that the COR-BMI may have its practical use expanded to non-oncological patients as an independent predictor of in-hospital mortality.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Acute Disease mortality
Age Factors
Aged
Algorithms
Chronic Disease mortality
Female
Hospitalization
Humans
Inflammation
Inpatients
Male
Middle Aged
Neoplasms mortality
Prognosis
Proportional Hazards Models
ROC Curve
Retrospective Studies
Risk Factors
Sex Factors
Survival Rate
Body Mass Index
Erythrocyte Indices
Erythrocytes cytology
Hospital Mortality
Neoplasms blood
Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 14
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 31306467
- Full Text :
- https://doi.org/10.1371/journal.pone.0219549