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Record W4401821832 · doi:10.1016/j.jhepr.2024.101193

Differential prevalence and prognostic value of metabolic syndrome components among patients with MASLD

2024· article· en· W4401821832 on OpenAlex
Jesse Pustjens, Laurens A. van Kleef, Harry L.A. Janssen, Robert J. de Knegt, Willem Pieter Brouwer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJHEP Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsToronto General HospitalUniversity Health Network
FundersStichting voor Lever- en Maag-Darm Onderzoek
KeywordsMedicineInternal medicineNational Health and Nutrition Examination SurveyMetabolic syndromeHypertriglyceridemiaPopulationDiabetes mellitusObesityFatty liverDiseaseEndocrinologyTriglycerideCholesterolEnvironmental health

Abstract

fetched live from OpenAlex

Background & Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is becoming increasingly prevalent in the general population. This study aimed at describing the cardiometabolic burden of the MASLD population and to identify patients at the highest risk of all-cause mortality and liver fibrosis. Methods: We analysed individuals with MASLD enrolled in the National Health and Nutrition Survey (NHANES) III study (N = 3,628) and in the NHANES 2017-2020 study (n = 2,618). MASLD was defined as hepatic steatosis (by ultrasonography or controlled attenuation parameter), together with cardiometabolic dysfunction. Primary endpoints were all-cause mortality and liver fibrosis (liver stiffness measurement ≥8 kPa). Regression models were adjusted for age, sex, race, marital status, education, and smoking, and results were stratified by age groups (20-40, 40-60, 60-80 years). Results: Among the total MASLD population (median age = 48, [25th to 75th percentiles: 36-62] years, 44.8% males), 65% had three or more cardiometabolic disorders. The most frequent were obesity (89.1%), (pre-) diabetes (66.6%), and low-HDL (54.7%). During a median follow-up of 22.3 (25th to 75th percentiles: 16.9-24.2) years, 1,405 deaths occurred. Hypertension (adjusted hazard ratio [aHR] 1.42, 95% CI 1.26-1.61), (pre-)diabetes (aHR 1.28, 95% CI 1.09-1.49), and hypertriglyceridaemia (aHR 1.19, 95% CI 1.05-1.34) were the strongest predictors of all-cause mortality. Consistent results were obtained regarding the association between cardiometabolic disorders and fibrosis. Here, increased waist circumference (adjusted odds ratio [aOR] 3.45, 95% CI 1.44-8.25), (pre-)diabetes (aOR 1.90, 95% CI 1.44-2.25), and hypertension (aHR 1.84, 95% CI 1.40-2.43) showed the strongest associations. Conclusions: MASLD patients vary greatly in their cardiometabolic burden and consequently, in their prognosis. Our results highlight MASLD as a disease spectrum rather than as a single disease entity, necessitating an individualised treatment approach. Impact and implications: Understanding the disease burden of MASLD patients is key, but can be challenging for healthcare professionals. Results from the current study indicate that cardiometabolic risk management is particularly warranted in the younger adult population, with specific attention to hypertension and (pre-)diabetes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.219
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it