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Background: Insulin resistance (IR) is a crucial mechanism in the pathogenesis and clinical progression of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to examine the relationship between non-insulin-based IR surrogate markers and the incidence of liver-related outcomes in individuals with MASLD in a nationwide Korean cohort.
Methods: A total of 66,334 individuals with MASLD who underwent a health examination between 1 January 2009 and 31 December 2010 were included in the study and followed until 31 December 2019, with a median follow-up period of 9.4 years. Hepatic steatosis was defined as a fatty liver index ≥ 30. The triglyceride-glucose (TyG) index, triglyceride-to-high-density lipoprotein cholesterol (TG/HDL) ratio, and metabolic score of IR (METS-IR) were employed as non-insulin-based IR surrogate markers. The MASLD groups were divided into four groups based on the non-insulin-based IR surrogate markers quartiles. The primary outcome was liver-related outcomes, as a composite of hepatocellular carcinoma and decompensated liver cirrhosis.
Results: The MASLD group was 64.4% male (average age, 59.0 years). Using the lowest quartile (Q1) of the three non-insulin-based IR surrogate markers as a reference, a decrease in the adjusted hazard ratio for liver-related outcomes was observed from Q2 to Q4: (TyG: Q2 0.90 [95% confidence interval [CI]: 0.79-1.02], Q3 0.80 [95% CI: 0.70-0.91], Q4 0.80 [95% CI: 0.69-0.92]; TG/HDL: Q2 0.85 [95% CI: 0.75-0.97], Q3 0.81 [95% CI: 0.71-0.92], Q4 0.81 [95% CI: 0.71-0.93]; METS-IR: Q2 0.83 [95% CI: 0.73-0.95], Q3 0.80 [95% CI: 0.70-0.91], Q4 0.80 [95% CI: 0.70-0.92]).
Conclusions: A lower non-insulin-based IR surrogate marker in the MASLD group may be associated with an increased risk of liver-related outcomes. In the course of monitoring MASLD, metabolic alterations must be meticulously observed.
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http://dx.doi.org/10.1186/s12876-025-03877-0 | DOI Listing |
JMIR Res Protoc
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Department of Medical Oncology, Early Phase Unit, Georges-François Leclerc Centre, Dijon, France.
Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
View Article and Find Full Text PDFJCO Glob Oncol
May 2025
Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Purpose: Breast cancer remains a significant public health challenge globally, as well as in India, where it is the most frequently diagnosed cancer in females. Significant disparities in incidence, mortality, and access to health care across India's sociodemographically diverse population highlight the need for increased awareness, policy reform, and research.
Design: This review consolidates data from national cancer registries, global cancer databases, and institutional findings from a tertiary care center to examine the epidemiology, clinical challenges, and management gaps specific to India.
Emerg Top Life Sci
September 2025
Hurdle.bio / Chronomics Ltd., London, UK.
Artificial intelligence (AI) is transforming many fields, including healthcare and medicine. In biomarker discovery, AI algorithms have had a profound impact, thanks to their ability to derive insights from complex high-dimensional datasets and integrate multi-modal datatypes (such as omics, electronic health records, imaging or sensor and wearable data). However, despite the proliferation of AI-powered biomarkers, significant hurdles still remain in translating them to the clinic and driving adoption, including lack of population diversity, difficulties accessing harmonised data, costly and time-consuming clinical studies, evolving AI regulatory frameworks and absence of scalable diagnostic infrastructure.
View Article and Find Full Text PDFRetina
September 2025
Retina Division, Stein Eye Institute, University of California of Los Angeles, Los Angeles, California.
Purpose: To describe the clinical and multimodal imaging features of a novel form of macular neovascularization (MNV), designated Type 4 MNV, defined by mixed Type 1 and Type 2 neovascularization (NV), extensive intraretinal anastomotic NV, and central posterior hyaloid fibrosis (CPHF).
Methods: This multicenter retrospective observational case series included patients with neovascular age-related macular degeneration (AMD) exhibiting both Type 1 and 2 MNV and an overlying anastomotic intraretinal NV network. This was confirmed with OCT and OCT angiography (OCTA).