Background <p>The Dallas Steatosis Index (DSI) is a non-invasive tool (NIT) developed to detect the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in multi-ethnic populations, external validation in Asians has yet to be conducted. Therefore, we evaluated the ability of the DSI with the BMI classification of WPRO (DSI_WPRO) to identify MASLD in the Chinese population. In addition, we investigated the associations between the DSI_WPRO and the risk of MASLD in a longitudinal study.</p> Methods <p>Baseline data from the Dongfeng-Tongji cohort were collected to investigate the ability of the DSI_WPRO to identify MASLD patients by ROC analysis. Furthermore, multivariate logistic regressions were performed to investigate the associations of the DSI_WPRO and MASLD risks in a 5-year follow-up of the DFTJ cohort study.</p> Results <p>Among a total of 9,376 MASLD participants and 25,974 non-MASLD participants, the area under the curve (AUC) of the DSI_WPRO reached 0.777 after adjusting BMI classification, which is higher than other NITs in this study. In addition, we redefined the risk category and the screening proposal of MASLD in Asians with the DSI_WPRO. We found that the cutoff point of 0 has the best ability to recognize the presence or absence of MASLD. Furthermore, compared with the low DSI_WPRO (DSI_WPRO &lt; 0), OR (95% CIs) of higher DSI_WPRO (DSI_WPRO ≥ 0) was 3.048 (2.827 ~ 3.285) for MASLD.</p> Conclusion <p>The DSI is a useful tool for MASLD identification and prevention. After more validation studies, DSI can be generalized in the Asian population.</p>

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The external validation of Dallas Steatosis Index among Asian population: a useful tool for metabolic dysfunction-associated steatotic liver disease identification and prevention

  • Mengyang Xia,
  • Yixuan Lu,
  • Feiyang Yin,
  • Zhiqiang Cao,
  • Ping Yao,
  • Hongxia Li

摘要

Background

The Dallas Steatosis Index (DSI) is a non-invasive tool (NIT) developed to detect the risk of metabolic dysfunction-associated steatotic liver disease (MASLD) in multi-ethnic populations, external validation in Asians has yet to be conducted. Therefore, we evaluated the ability of the DSI with the BMI classification of WPRO (DSI_WPRO) to identify MASLD in the Chinese population. In addition, we investigated the associations between the DSI_WPRO and the risk of MASLD in a longitudinal study.

Methods

Baseline data from the Dongfeng-Tongji cohort were collected to investigate the ability of the DSI_WPRO to identify MASLD patients by ROC analysis. Furthermore, multivariate logistic regressions were performed to investigate the associations of the DSI_WPRO and MASLD risks in a 5-year follow-up of the DFTJ cohort study.

Results

Among a total of 9,376 MASLD participants and 25,974 non-MASLD participants, the area under the curve (AUC) of the DSI_WPRO reached 0.777 after adjusting BMI classification, which is higher than other NITs in this study. In addition, we redefined the risk category and the screening proposal of MASLD in Asians with the DSI_WPRO. We found that the cutoff point of 0 has the best ability to recognize the presence or absence of MASLD. Furthermore, compared with the low DSI_WPRO (DSI_WPRO < 0), OR (95% CIs) of higher DSI_WPRO (DSI_WPRO ≥ 0) was 3.048 (2.827 ~ 3.285) for MASLD.

Conclusion

The DSI is a useful tool for MASLD identification and prevention. After more validation studies, DSI can be generalized in the Asian population.