RESUMO
The incidence of traffic accidents in patients with chronic liver disease (CLD) is high in the USA. However, the characteristics of patients, including dietary habits, differ between Japan and the USA. The present study investigated the incidence of traffic accidents in CLD patients and the clinical profiles associated with traffic accidents in Japan using a data-mining analysis. A cross-sectional study was performed and 256 subjects [148 CLD patients (CLD group) and 106 patients with other digestive diseases (disease control group)] were enrolled; 2 patients were excluded. The incidence of traffic accidents was compared between the two groups. Independent factors for traffic accidents were analyzed using logistic regression and decision-tree analyses. The incidence of traffic accidents did not differ between the CLD and disease control groups (8.8 vs. 11.3%). The results of the logistic regression analysis showed that yoghurt consumption was the only independent risk factor for traffic accidents (odds ratio, 0.37; 95% confidence interval, 0.16-0.85; P=0.0197). Similarly, the results of the decision-tree analysis showed that yoghurt consumption was the initial divergence variable. In patients who consumed yoghurt habitually, the incidence of traffic accidents was 6.6%, while that in patients who did not consume yoghurt was 16.0%. CLD was not identified as an independent factor in the logistic regression and decision-tree analyses. In conclusion, the difference in the incidence of traffic accidents in Japan between the CLD and disease control groups was insignificant. Furthermore, yoghurt consumption was an independent negative risk factor for traffic accidents in patients with digestive diseases, including CLD.
RESUMO
AIM: In patients with chronic liver disease who are at risk of malnutrition, simple and useful assessments for nutritional status should be established for ordinary medical care. The prognostic nutritional index (PNI) and controlling nutritional status (CONUT) are simple assessments constructed of only two or three laboratory data. We aimed to describe the potential of PNI and CONUT as a nutritional assessment tool in patients with chronic liver disease. METHODS: We enrolled 165 patients, aged 18-85 years, with chronic liver disease. These patients were nutritionally assessed by PNI or CONUT, demonstrating the association with the severity of chronic liver disease or anthropometric values. RESULTS: The value of PNI or CONUT was significantly associated with the severity of chronic liver disease (P < 0.001, respectively). In addition, the value of CONUT was significantly associated with all the anthropometric values such as body mass index (BMI, P < 0.05), mid-arm circumference (AC, P < 0.001), mid-arm muscle circumference (AMC, P < 0.001), and triceps skinfold thickness (TSF, P < 0.001), whereas the value of PNI was significantly associated with the values of AC (P < 0.01), AMC (P < 0.05) and TSF (P < 0.05). Approximately 80% of cirrhotic patients were assessed by PNI or CONUT to have obvious malnutrition. CONCLUSION: PNI and CONUT are potential tools for nutritional assessment in patients with chronic liver disease, especially for ordinary medical care, because of their simplicity.
