Dataset Information

Malnutrition on admission increases the in-hospital mortality and length of stay in elder adults with acute ischemic stroke.

ABSTRACT:

Purpose

Malnutrition, as determined by the Controlling Nutritional Status (CONUT), has an effect on the 3-month and long-term prognosis of stroke patients. The association between malnutrition and in-hospital mortality has not been well established. We aimed to investigate the relationship between the CONUT score on admission and in-hospital mortality and length of stay (LOS) in elderly patients with acute ischemic stroke (AIS).

Methods

This study analyzed controls and patients with AIS. Malnutrition was determined using the CONUT score. A CONUT score of 5-12 was defined as undernutrition status. Based on the CONUT scores, the patients were divided into the low CONUT (0-4) and high CONUT (5-12) groups.

Results

In total, 1079 participants were recruited, comprising 288 controls and 791 AIS patients. Among the 791 patients, 64 (8.1%) had malnutrition and 63 (7.9%) had an in-hospital death. Compared to the controls, the AIS patients presented higher CONUT scores, higher proportion of in-hospital mortality (8.0%), and longer length of stay. Malnutrition was independently associated with in-hospital mortality in the AIS patients (adjusted odds ratio: 3.77, 95% confidence interval [CI]: 1.55-9.15; p = 0.003). The general linear models showed an association between the CONUT score and LOS (β = 0.574, 95% CI: 0.208-0.934; p = 0.002). Furthermore, the effect of the interaction between infection and nutrition status on in-hospital mortality showed borderline statistical significance (p = 0.06).

Conclusions

Malnutrition estimated by the CONUT score on admission can be a predictor of in-hospital mortality and increased LOS in elderly AIS patients.

SUBMITTER: Hao R

PROVIDER: S-EPMC8761426 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDiagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies' consequences, and factors predicting them.MethodsProspective observational clinical study combined with a survey in a University-affiliated tertiary care hospital. Patients' hospital discharge diagnosis was compared with the diagnosis at hospital admittance through the emergency room and classified as similar or discrepant according to a predefined scheme by two independent expert raters. Generalized linear mixed-effects models were used to estimate the effect of diagnostic discrepancy on mortality and length of hospital stay and to determine whether characteristics of patients, diagnosing physicians, and context predicted diagnostic discrepancy.Results755 consecutive patients (322 [42.7%] female; mean age 65.14 years) were included. The discharge diagnosis differed substantially from the admittance diagnosis in 12.3% of cases. Diagnostic discrepancy was associated with a longer hospital stay (mean 10.29 vs. 6.90 days; Cohen's d 0.47; 95% confidence interval 0.26 to 0.70; P = 0.002) and increased patient mortality (8 (8.60%) vs. 25(3.78%); OR 2.40; 95% CI 1.05 to 5.5 P = 0.038). A factor available at admittance that predicted diagnostic discrepancy was the diagnosing physician's assessment that the patient presented atypically for the diagnosis assigned (OR 3.04; 95% CI 1.33-6.96; P = 0.009).ConclusionsDiagnostic discrepancies are a relevant healthcare problem in patients admitted through the emergency room because they occur in every ninth patient and are associated with increased in-hospital mortality. Discrepancies are not readily predictable by fixed patient or physician characteristics; attention should focus on context.Trial registrationhttps://bmjopen.bmj.com/content/6/5/e011585.