Dataset Information

External validation of fatty liver index for identifying ultrasonographic fatty liver in a large-scale cross-sectional study in Taiwan.

ABSTRACT:

Background and aims

The fatty liver index (FLI) is an algorithm involving the waist circumference, body mass index, and serum levels of triglyceride and gamma-glutamyl transferase to identify fatty liver. Although some studies have attempted to validate the FLI, few studies have been conducted for external validation among Asians. We attempted to validate FLI to predict ultrasonographic fatty liver in Taiwanese subjects.

Methods

We enrolled consecutive subjects who received health check-up services at the Taipei Veterans General Hospital from 2002 to 2009. Ultrasonography was applied to diagnose fatty liver. The ability of the FLI to detect ultrasonographic fatty liver was assessed by analyzing the area under the receiver operating characteristic (AUROC) curve.

Results

Among the 29,797 subjects enrolled in this study, fatty liver was diagnosed in 44.5% of the population. Subjects with ultrasonographic fatty liver had a significantly higher FLI than those without fatty liver by multivariate analysis (odds ratio 1.045; 95% confidence interval, CI 1.044-1.047, p< 0.001). Moreover, FLI had the best discriminative ability to identify patients with ultrasonographic fatty liver (AUROC: 0.827, 95% confidence interval, 0.822-0.831). An FLI < 25 (negative likelihood ratio (LR-) 0.32) for males and <10 (LR- 0.26) for females rule out ultrasonographic fatty liver. Moreover, an FLI ? 35 (positive likelihood ratio (LR+) 3.12) for males and ? 20 (LR+ 4.43) for females rule in ultrasonographic fatty liver.

Conclusions

FLI could accurately identify ultrasonographic fatty liver in a large-scale population in Taiwan but with lower cut-off value than the Western population. Meanwhile the cut-off value was lower in females than in males.

SUBMITTER: Yang BL

PROVIDER: S-EPMC4363626 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

External validation of fatty liver index for identifying ultrasonographic fatty liver in a large-scale cross-sectional study in Taiwan.

Yang Bi-Ling BL Wu Wen-Chieh WC Fang Kuan-Chieh KC Wang Yuan-Chen YC Huo Teh-Ia TI Huang Yi-Hsiang YH Yang Hwai-I HI Su Chien-Wei CW Lin Han-Chieh HC Lee Fa-Yauh FY Wu Jaw-Ching JC Lee Shou-Dong SD

PloS one 20150317 3

<h4>Background and aims</h4>The fatty liver index (FLI) is an algorithm involving the waist circumference, body mass index, and serum levels of triglyceride and gamma-glutamyl transferase to identify fatty liver. Although some studies have attempted to validate the FLI, few studies have been conducted for external validation among Asians. We attempted to validate FLI to predict ultrasonographic fatty liver in Taiwanese subjects.<h4>Methods</h4>We enrolled consecutive subjects who received health ...[more]

PMID: 25781622

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Project description:ObjectivesAn obstetric comorbidity index has been developed recently with superior performance characteristics relative to general comorbidity measures in an obstetric population. This study aimed to externally validate this index and to examine the impact of including hospitalisation/delivery records only when estimating comorbidity prevalence and discriminative performance of the obstetric comorbidity index.DesignValidation study.SettingAlberta, Canada.PopulationPregnant women who delivered a live or stillborn infant in hospital (n = 5995).MethodsAdministrative databases were linked to create a population-based cohort. Comorbid conditions were identified from diagnoses for the delivery hospitalisation, all hospitalisations and all healthcare contacts (i.e. hospitalisations, emergency room visits and physician visits) that occurred during pregnancy and 3 months pre-conception. Logistic regression was used to test the discriminative performance of the comorbidity index.Main outcome measuresMaternal end-organ damage and extended length of stay for delivery.ResultsAlthough prevalence estimates for comorbid conditions were consistently lower in delivery records and hospitalisation data than in data for all healthcare contacts, the discriminative performance of the comorbidity index was constant for maternal end-organ damage [all healthcare contacts area under the receiver operating characteristic curve (AUC) = 0.70; hospitalisation data AUC = 0.67; delivery data AUC = 0.65] and extended length of stay for delivery (all healthcare contacts AUC = 0.60; hospitalisation data AUC = 0.58; delivery data AUC = 0.58).ConclusionsThe obstetric comorbidity index shows similar performance characteristics in an external population and is a valid measure of comorbidity in an obstetric population. Furthermore, the discriminative performance of the comorbidity index was similar for comorbidities ascertained at the time of delivery, in hospitalisation data or through all healthcare contacts.

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Dataset Information

External validation of fatty liver index for identifying ultrasonographic fatty liver in a large-scale cross-sectional study in Taiwan.

Background and aims

Methods

Results

Conclusions

Publications

External validation of fatty liver index for identifying ultrasonographic fatty liver in a large-scale cross-sectional study in Taiwan.

Similar Datasets

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