Risk Factors Analysis of Hospital-Acquired Anemia in Cerebral Stroke Patients
Risk Factors Analysis of Hospital-Acquired Anemia in Cerebral Stroke Patients
Xinmin Liu1, Fengming Ni2 and Lan Gao1*
ABSTRACT
We aimed to investigate the incidence and risk factors of hospital-acquired anemia (HAA) in stroke patients. We used retrospective analysis method, research on the incidence of HAA in 560 patients with cerebral apoplexy, the patients had incomed in the department of neurology of our hospital from January 1, 2017 to December 31, 2018, the patients also had incomed in the N-ICU. We used the single factor and multiple factors regression analysis in patients with HAA on age, gender, diagnosis, and the correlation of hospitalization days. The incidence of HAA in stroke patients was 32.7% (183/560). Logistic regression analysis showed that, age (OR=1.048) and length of stay (OR=1.043) were independent risk factors for HAA, while gender and diagnosis had no statistical significance (P > 0.05). The area under the ROC curve of age and length of stay were 0.663 and 0.571, respectively. The optimal cutoff values were age over 65 and length of stay over 26 days. Diagnosis was of significance in univariate analysis, but of no significance in multivariate analysis. This is because the age had potential influence, and diagnosis was not the real influencing factor of HAA. To conclude the incidence of HAA is higher in patients with stroke who have been hospitalized in ICU. Age and length of stay are independent risk factors. Patients with cerebral stroke that age> 65 years old and length of stay> 26 days were more likely to develop HAA. Early warning mechanism and corresponding preventive measures of HAA in stroke patients should be established in clinical practice. Meanwhile, nutrition management of stroke patients should be strengthened, hemoglobin should be monitored regularly, HAA should be detected in time and anemia should be corrected by active measures. Future multicenter studies should be conducted to observe the incidence of HAA in patients receiving enteral nutrition or parenteral nutrition versus those not receiving these treatments. At the same time, stroke patients receiving rehabilitation treatment can be included in the study, and rehabilitation treatment and nutrition program can be determined according to the correlation between daily energy expenditure and HAA after rehabilitation treatment.
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