P-74 GLYCOSYLATED HEMOGLOBIN LEVELS AS A PREDICTOR OF HEPATIC FIBROSIS DUE TO MASLD

No Hepatic steatosis associated with metabolic dysfunction (MASLD) has a prevalence of 30% worldwide, and 80% of these patients do not present alterations in liver biochemistry. One of the cardiometabolic criteria is having glycosylated hemoglobin ≥5.6%, so an analysis was carried out using the ADA criteria for the diagnosis of prediabetes with HbA1C levels 5.7% - 6.4% and the degree of liver fibrosis. Compare the values of glycosylated hemoglobin and fibrosis determined by Transient Elastography. Patients with MASLD criteria were included who underwent Transient Liver Elastography (Fibroscan ® 630 Expert v10720), APRI, FIB4, NAFLD score, blood count, liver biochemistry, lipid profile, glucose, glycosylated hemoglobin, clotting times. (TP, INR). It was compared with a control of healthy people. For statistical analysis, SPSS V24 was used for continuous quantitative variables expressed as mean and percentage, with moderate Spearman's Rho correlation. Seventy-five patients with steatosis determined by CAP ≥ 232 were included. The age of the patients was 45 (40, 50). Patients were classified as healthy (HbA1C <5.7%), prediabetic (HbA1C 5.7%-6.4%), diabetic (HbA1C >6.5%), and patients with a previous diagnosis of diabetes were classified as diabetic controlled (HbA1C <7%). and uncontrolled diabetics (HbA1C >7%), HbA1C levels were 5.7% (5.4%-5.9%). According to the MASLD criteria, 25 patients had HbA1C < 5.6% and 50 with HbA1C > 5.6% or with treatments for T2D. Sixty-five patiens (86.7%) had no fibrosis, and 10 (13.3%) had fibrosis, with 5.1 kPa (4.3 kPa, 6.5 kPa). Although no association was found between the degree of steatosis and the degree of fibrosis, the patient with the highest level of fibrosis presented the highest degree of steatosis. X2 = 8.916, p=0.178 No association was found between the degree of steatosis and diabetes. X2 = 11.723,p=0.068 However, the degree of diabetes is associated with the presence of fibrosis and the degree of fibrosis, with a weak positive correlation existing between HbA1C levels and CAP levels, Spearman's rho 0.280 p=0.015. Tables 1 and 2 Although no assessment was found between BMI and kPa to determine if there is an association between the degree of fibrosis and the nutritional level, curiously, it can be observed that a healthy patient with grade 3 fibrosis has uncontrolled diabetes. Table 3 Prediabetes may be a predictor of the presence of liver fibrosis associated with MASLD.

Authors

Institutions

Publication Details

Journal
Annals of Hepatology
Published
2024-12-01
DOI
https://doi.org/10.1016/j.aohep.2024.101688
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-74 GLYCOSYLATED HEMOGLOBIN LEVELS AS A PREDICTOR OF HEPATIC FIBROSIS DUE TO MASLD

Ricardo Espinoza, Sara Hernández, Juan Salvador García-Hernández, Tomás Hernández Bertó et al.
Annals of Hepatology
Liver Disease Diagnosis and Treatment
article

P-74 GLYCOSYLATED HEMOGLOBIN LEVELS AS A PREDICTOR OF HEPATIC FIBROSIS DUE TO MASLD

Ricardo Espinoza, Sara Hernández, Juan Salvador García-Hernández, Tomás Hernández Bertó, Javier Bastida Alquicira, E Alarcón, Mayra Gabriela García Araiza, Eira Cerda Reyes, Adriana Martínez Cuazitl
article en

Abstract

No Hepatic steatosis associated with metabolic dysfunction (MASLD) has a prevalence of 30% worldwide, and 80% of these patients do not present alterations in liver biochemistry. One of the cardiometabolic criteria is having glycosylated hemoglobin ≥5.6%, so an analysis was carried out using the ADA criteria for the diagnosis of prediabetes with HbA1C levels 5.7% - 6.4% and the degree of liver fibrosis. Compare the values of glycosylated hemoglobin and fibrosis determined by Transient Elastography. Patients with MASLD criteria were included who underwent Transient Liver Elastography (Fibroscan ® 630 Expert v10720), APRI, FIB4, NAFLD score, blood count, liver biochemistry, lipid profile, glucose, glycosylated hemoglobin, clotting times. (TP, INR). It was compared with a control of healthy people. For statistical analysis, SPSS V24 was used for continuous quantitative variables expressed as mean and percentage, with moderate Spearman's Rho correlation. Seventy-five patients with steatosis determined by CAP ≥ 232 were included. The age of the patients was 45 (40, 50). Patients were classified as healthy (HbA1C <5.7%), prediabetic (HbA1C 5.7%-6.4%), diabetic (HbA1C >6.5%), and patients with a previous diagnosis of diabetes were classified as diabetic controlled (HbA1C <7%). and uncontrolled diabetics (HbA1C >7%), HbA1C levels were 5.7% (5.4%-5.9%). According to the MASLD criteria, 25 patients had HbA1C < 5.6% and 50 with HbA1C > 5.6% or with treatments for T2D. Sixty-five patiens (86.7%) had no fibrosis, and 10 (13.3%) had fibrosis, with 5.1 kPa (4.3 kPa, 6.5 kPa). Although no association was found between the degree of steatosis and the degree of fibrosis, the patient with the highest level of fibrosis presented the highest degree of steatosis. X2 = 8.916, p=0.178 No association was found between the degree of steatosis and diabetes. X2 = 11.723,p=0.068 However, the degree of diabetes is associated with the presence of fibrosis and the degree of fibrosis, with a weak positive correlation existing between HbA1C levels and CAP levels, Spearman's rho 0.280 p=0.015. Tables 1 and 2 Although no assessment was found between BMI and kPa to determine if there is an association between the degree of fibrosis and the nutritional level, curiously, it can be observed that a healthy patient with grade 3 fibrosis has uncontrolled diabetes. Table 3 Prediabetes may be a predictor of the presence of liver fibrosis associated with MASLD.

Annals of HepatologyVol. 29
Hospital Central Militar (MX)
Zero hunger
Openalex Percentile: Top 66%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.