82 research outputs found
Non-alcoholic fatty liver disease in type-2 diabetes mellitus: population analysis, metabolic profile and referral management pathway
Introduction: Non-alcoholic fatty liver disease is strongly associated with type-2 diabetes mellitus, with diabetic patients being at higher risk for adverse outcomes. The aim of this thesis was to explore in detail the clinical and metabolic phenotype of diabetics screened for NAFLD in primary care and to develop a referral management pathway for this population. Moreover, this thesis investigated the impact of alterations of the gut-liver axis on the severity of liver disease in such cohort.
Methods: In this cross-sectional study, consecutive diabetic patients from primary care were screened for liver disease and NAFLD. Nuclear magnetic resonance and liquid chromatography-mass spectrometry were used to explore the metabolic profile of the patients against severity of liver disease. Stool meta-taxagenomics allowed for the analysis of the composition of the microbiome, while gut permeability was investigated using an in-vitro model and an ex-vivo measurement of faecal protease activity. Inflammatory cytokines profile was also analysed in serum as well as in faecal samples.
Results: Clinically significant NAFLD was highly prevalent in the diabetic population in primary care. According to the results of this study, applying FIB-4 with a cut-off of 1.3 in this population would miss up to 38% of the patients with significant liver disease. The BIMAST score, which was derived based on simple clinical parameters, was validated both internally and externally, outperformed conventional screening methods and optimised risk-stratification in primary care. Among the metabolites, only lysine deficiency was associated with increased hepatic collagen content. Moreover, specific changes in gut microbiome were associated with more severe liver disease, while intestinal permeability tended to increase with liver disease severity. A combination of host and microbiota-related factors were associated with a leakier gut in this population.
Conclusions: Current risk-stratification for NAFLD among diabetics in primary care can be improved. Exploring the gut-liver axis may offer diagnostic as well as therapeutical insights in this population.Open Acces
Analogs in the treatment of chronic hepatitis B: real life experience with tenofovir and entecavir
INTRODUCTION: Tenofovir and entecavir are potent antiviral agents. By suppressing viral replication, they induce histological improvement and finally delay the progression of chronic hepatitis B and the development of complications. They are rarely associated with serious side effects. Our data from a real life experience support data from the literature and suggest some minimal difference that may be useful in tailoring therapy.PATIENTS AND METHODS: We retrospectively analyzed 54 patients affected by chronic hepatitis B (31 and 23 treated by entecavir and tenofovir, respectively). Eight patients were cirrhotic. At baseline and 4-12 and 24 weeks after starting therapy, biochemical and virological analysis were performed in all patients. Renal function tests (serum creatinine, creatinine clearance and blood urea), serum (calcium and phosphate blood level) and urine electrolyte were also studied.RESULTS: All the patients reached virological control within 24 weeks. Only in the group treated by tenofovir we observed a complete viral suppression within 12 weeks. Some patients treated with tenofovir showed increased creatinine clearance without serum creatinine alteration. No significant side effects were reported with the exception of one case of persistent headache in the entecavir group for which the drug was suspended.CONCLUSIONS: Entecavir and tenofovir are effective in suppressing viral replication in patients with chronic hepatitis B. Tenofovir is more potent than entecavir and viral replication is blocked within 12 weeks of therapy. Tenofovir administration is associated with slight increase of creatinine clearance without alteration of serum creatinine levels. The choice of one or the other should be made according to target and specific patients characteristics. In patients with high serum viral load where the complete and quick control of viral replication is the main target, tenofovir may represent the best choice
SAT-294. Automated quantitation of steatosis, inflammation, ballooning and fibrosis using machine learning in routine histological images of liver biopsies of patients with NAFLD
A prospective study on the prevalence of MASLD in people with type-2 diabetes in the community. Cost effectiveness of screening strategies
Background and Aims:
As screening for the liver disease and risk-stratification pathways are not established in patients with type-2 diabetes mellitus (T2DM), we evaluated the diagnostic performance and the cost-utility of different screening strategies for MASLD in the community.//
Methods:
Consecutive patients with T2DM from primary care underwent screening for liver diseases, ultrasound, ELF score and transient elastography (TE). Five strategies were compared to the standard of care: ultrasound plus abnormal liver function tests (LFTs), Fibrosis score-4 (FIB-4), NAFLD fibrosis score, Enhanced liver fibrosis test (ELF) and TE. Standard of care was defined as abnormal LFTs prompting referral to hospital. A Markov model was built based on the fibrosis stage, defined by TE. We generated the cost per quality-adjusted life year (QALY) gained and calculated the incremental cost-effectiveness ratio (ICER) over a lifetime horizon.//
Results:
Of 300 patients, 287 were included: 64% (186) had MASLD and 10% (28) had other causes of liver disease. Patients with significant fibrosis, advanced fibrosis, and cirrhosis due to MASLD were 17% (50/287), 11% (31/287) and 3% (8/287), respectively. Among those with significant fibrosis classified by LSM≥8.1 kPa, false negatives were 54% from ELF and 38% from FIB-4. On multivariate analysis, waist circumference, BMI, AST levels and education rank were independent predictors of significant and advanced fibrosis. All the screening strategies were associated with QALY gains, with TE (148.73 years) having the most substantial gains, followed by FIB-4 (134.07 years), ELF (131.68 years) and NAFLD fibrosis score (121.25 years). In the cost-utility analysis, ICER was £2480/QALY for TE, £2541.24/QALY for ELF and £2059.98/QALY for FIB-4.//
Conclusion:
Screening for MASLD in the diabetic population in primary care is cost-effective and should become part of a holistic assessment. However, traditional screening strategies, including FIB-4 and ELF, underestimate the presence of significant liver disease in this setting
Derivation and validation of the BIMAST score for predicting the presence of fibrosis due to Metabolic dysfunction-associated steatotic liver disease among diabetic patients in the community
Background & aims Current screening pathways, developed from tertiary care cohorts, underestimate the presence of Metabolic-dysfunction associated steatotic liver disease (MASLD) in patients with type 2 diabetes mellitus (T2DM) in the community. We developed, validated, and assessed cost-effectiveness of a new score for screening the presence of fibrosis due to MASLD in primary care. Methods Consecutive T2DM patients underwent screening for liver diseases with transient elastography (TE). Based on predictors of significant/advanced fibrosis, we generated the BIMAST score (based on aspartate aminotransferase (AST) and body mass index (BMI)) and validated it internally and externally (Royal Free Hospital, London and Palermo Hospital). For cost-effectiveness analysis, 6 screening strategies were compared against standard of care: BIMAST score, ultrasound plus abnormal liver function tests, FIB-4, NAFLD fibrosis score, ELF and transient elastography (TE). A Markov model was built based on fibrosis status. Cost per quality-adjusted life year (QALY) gained and the incremental cost-effectiveness ratio (ICER) were estimated over a lifetime. Results Among 300 patients enrolled, 64% (186) had MASLD and 10% (28) other causes of liver disease. In the whole population, patients with significant fibrosis, advanced fibrosis, and cirrhosis due to MASLD were 17% (50/287), 11% (31/287), and 3% (8/287), respectively. In primary care, BIMAST performed better than other non-invasive markers at predicting significant and advanced fibrosis. Moreover, BIMAST reduced false negatives from 54% (ELF) and 38% (FIB-4) to 10%. In both validation cohorts, BIMAST performance was as good as FIB-4. In the cost-utility analysis, ICER was £2,337.92/QALY for BIMAST. Conclusion The BIMAST predicts the presence of significant fibrosis in the community, reduces false negatives and is cost-effective. The BIMAST score should be included in the holistic assessment of diabetic patients
Letter: liver disease and COVID-19 - not the perfect storm
This article is linked to Garrido et al papers. To view these articles, visit https://doi.org/10.1111/apt.15813 and https://doi.org/10.1111/apt.15886
Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non-alcoholic fatty liver disease: The importance of an elevated mean platelet volume
Ensemble convolutional neural network classification for pancreatic steatosis assessment in biopsy images
Non-alcoholic fatty pancreas disease (NAFPD) is a common and at the same time not extensively examined pathological condition that is significantly associated with obesity, metabolic syndrome, and insulin resistance. These factors can lead to the development of critical pathogens such as type-2 diabetes mellitus (T2DM), atherosclerosis, acute pancreatitis, and pancreatic cancer. Until recently, the diagnosis of NAFPD was based on noninvasive medical imaging methods and visual evaluations of microscopic histological samples. The present study focuses on the quantification of steatosis prevalence in pancreatic biopsy specimens with varying degrees of NAFPD. All quantification results are extracted using a methodology consisting of digital image processing and transfer learning in pretrained convolutional neural networks for the detection of histological fat structures. The proposed method is applied to 20 digitized histological samples, producing an 0.08% mean fat quantification error thanks to an ensemble CNN voting system and 83.3% mean Dice fat segmentation similarity compared to the semi-quantitative estimates of specialist physicians
Clinical Characteristics and Predictors of Outcomes of Hospitalized Patients With Coronavirus Disease 2019 in a Multiethnic London National Health Service Trust: A Retrospective Cohort Study.
BACKGROUND: Emerging evidence suggests ethnic minorities are disproportionately affected by coronavirus disease 2019 (COVID-19). Detailed clinical analyses of multicultural hospitalized patient cohorts remain largely undescribed. METHODS: We performed regression, survival, and cumulative competing risk analyses to evaluate factors associated with mortality in patients admitted for COVID-19 in 3 large London hospitals between 25 February and 5 April, censored as of 1 May 2020. RESULTS: Of 614 patients (median age, 69 [interquartile range, 25] years) and 62% male), 381 (62%) were discharged alive, 178 (29%) died, and 55 (9%) remained hospitalized at censoring. Severe hypoxemia (adjusted odds ratio [aOR], 4.25 [95% confidence interval {CI}, 2.36-7.64]), leukocytosis (aOR, 2.35 [95% CI, 1.35-4.11]), thrombocytopenia (aOR [1.01, 95% CI, 1.00-1.01], increase per 109 decrease), severe renal impairment (aOR, 5.14 [95% CI, 2.65-9.97]), and low albumin (aOR, 1.06 [95% CI, 1.02-1.09], increase per gram decrease) were associated with death. Forty percent (n = 244) were from black, Asian, and other minority ethnic (BAME) groups, 38% (n = 235) were white, and ethnicity was unknown for 22% (n = 135). BAME patients were younger and had fewer comorbidities. Although the unadjusted odds of death did not differ by ethnicity, when adjusting for age, sex, and comorbidities, black patients were at higher odds of death compared to whites (aOR, 1.69 [95% CI, 1.00-2.86]). This association was stronger when further adjusting for admission severity (aOR, 1.85 [95% CI, 1.06-3.24]). CONCLUSIONS: BAME patients were overrepresented in our cohort; when accounting for demographic and clinical profile of admission, black patients were at increased odds of death. Further research is needed into biologic drivers of differences in COVID-19 outcomes by ethnicity
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