Clinically Significant Fibrosis Is Associated With Longitudinal Increases in Fibrosis-4 and Nonalcoholic Fatty Liver Disease Fibrosis Scores.

BACKGROUND & AIMS: There is limited knowledge regarding the longitudinal utility of biomarkers of fibrosis, such as the nonalcoholic fatty liver disease (NAFLD) fibrosis score (NFS) or the fibrosis-4 score (FIB-4) score. We examined longitudinal changes in the NFS and the FIB-4 score in patients with NAFLD, with and without clinically significant fibrosis (CSF). METHODS: We performed a retrospective study of 230 patients with NAFLD, collecting clinical and laboratory records to calculate NFS and FIB-4 scores at 6 monthly intervals for 5 years before hepatology assessment of fibrosis. Linear mixed models with random intercept and slope and adjusted for age at baseline were used to assess the progression of NFS and log-transformed FIB-4 scores over time in subjects with and without CSF, determined by liver stiffness measurements of 8.2 kPa or greater. RESULTS: Patients had a median of 11 (minimum, 10; maximum, 11) retrospective observations over a median time period of 5 years (minimum, 4.5 y; maximum, 5 y). Of patients with low baseline NFS and FIB-4 scores, 31.11% and 37.76%, respectively, had CSF at the time of hepatology assessment. There was a correlation between NFS and log10 FIB-4 over time (repeated measure r = 0.55; 95% CI, 0.52-0.59). The rate of increase in NFS and log10 FIB-4 was significantly higher in patients with than without CSF (both P < .001). Predicted NFS increased by 0.17 and 0.06 units per year in subjects with and without CSF, respectively. Predicted log10 FIB-4 score increased by 0.032 and 0.0003 units per year in subjects with and without CSF, respectively. CONCLUSIONS: Noninvasively measured fibrosis scores increase progressively in patients with NAFLD and CSF. Further studies are needed to determine whether repeated measurements can identify patients at risk for CSF.

Detecting non-alcoholic fatty liver disease and risk factors in health databases: accuracy and limitations of the ICD-10-AM.

OBJECTIVE: The prevalence of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) cirrhosis is often underestimated in healthcare and administrative databases that define disease burden using International Classification of Diseases (ICD) codes. This retrospective audit was conducted to explore the accuracy and limitations of the ICD, Tenth Revision, Australian Modification (ICD-10-AM) to detect NAFLD, metabolic risk factors (obesity and diabetes) and other aetiologies of chronic liver disease. DESIGN/METHOD: ICD-10-AM codes in 308 admitted patient encounters at two major Australian tertiary hospitals were compared with data abstracted from patients' electronic medical records. Accuracy of individual codes and grouped combinations was determined by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and Cohen's kappa coefficient (κ). RESULTS: The presence of an ICD-10-AM code accurately predicted the presence of NAFLD/NASH (PPV 91.2%) and obesity (PPV 91.6%) in most instances. However, codes underestimated the prevalence of NAFLD/NASH and obesity by 42.9% and 45.3%, respectively. Overall concordance between clinical documentation and 'grouped alcohol' codes (κ 0.75) and hepatitis C codes (κ 0.88) was high. Hepatitis B codes detected false-positive cases in patients with previous exposure (PPV 55.6%). Accuracy of codes to detect diabetes was excellent (sensitivity 95.8%; specificity 97.6%; PPV 94.9%; NPV 98.1%) with almost perfect concordance between codes and documentation in medical records (κ 0.93). CONCLUSION: Recognition of the utility and limitations of ICD-10-AM codes to study the burden of NAFLD/NASH cirrhosis is imperative to inform public health strategies and appropriate investment of resources to manage this burgeoning chronic disease.

A Pragmatic Approach Identifies a High Rate of Nonalcoholic Fatty Liver Disease With Advanced Fibrosis in Diabetes Clinics and At-Risk Populations in Primary Care.

Noninvasive serum biomarkers (nonalcoholic fatty liver disease fibrosis score [NFS], fibrosis 4 score [FIB-4], or enhanced liver fibrosis [ELF] test) are recommended as first-line tools to determine the risk of advanced fibrosis in nonalcoholic fatty liver disease. We aimed to assess the utility of a pragmatic approach to screening for clinically significant fibrosis in primary care and diabetes clinics. We recruited 252 patients from an endocrine clinic or primary care facility. Anthropometric measurements, ELF test, ultrasound, and liver stiffness measurements (LSMs) were performed. Clinically significant fibrosis was defined as LSM ≥8.2 kPa or ELF ≥9.8. A subgroup of patients underwent liver biopsy (n = 48) or had imaging diagnostic of cirrhosis (n = 14). Patients were 57.3 ± 12.3 years old with a high prevalence of metabolic syndrome (84.5%), type 2 diabetes (82.5%), and body mass index (BMI) ≥40 kg/m2 (21.8%). LSM met quality criteria in 230 (91.3%) patients. NFS and FIB-4 combined had a high negative predictive value (90.0%) for excluding LSM ≥8.2 kPa. However, 84.1% of patients had indeterminate or high NFS or FIB-4 scores requiring further assessment. LSM ≥8.2 kPa and ELF ≥9.8 were present in 31.3% and 28.6% of patients, respectively. Following adjustment for age, BMI, sex, and presence of advanced fibrosis, older age was independently associated with ELF ≥9.8 (adjusted odds ratio, 1.14; 95% confidence interval, 1.06-1.24), whereas increasing BMI was independently associated with LSM ≥8.2 kPa (adjusted odds ratio, 1.15; 95% confidence interval, 1.01-1.30). Concordant LSM <8.2 kPa and ELF <9.8 and concordant LSM ≥8.2 kPa and ELF ≥9.8 had a high negative predictive value (91.7%) and positive predictive value (95.8%) for excluding and identifying clinically significant fibrosis, respectively. Conclusion: Simple scoring tools alone lack accuracy. LSM accuracy is influenced by severe obesity, whereas age impacts the ELF test. Further studies are required to confirm whether combining LSM and ELF may enhance accuracy and confidence in identifying clinically significant fibrosis. (Hepatology Communications 2018; 00:000-000).

Controlled attenuation parameter in NAFLD identifies risk of suboptimal glycaemic and metabolic control.

AIMS: To examine the relationship between steatosis quantified by controlled attenuation parameter (CAP) values and glycaemic/metabolic control. METHODS: 230 patients, recruited from an Endocrine clinic or primary care underwent routine Hepatology assessment, with liver stiffness measurements and simultaneous CAP. Multivariable logistic regression was performed to identify potential predictors of Metabolic Syndrome (MetS), HbA1c ≥ 7%, use of insulin, hypertriglyceridaemia and CAP ≥ 300 dB/m. RESULTS: Patients were 56.7 ±â€¯12.3 years of age with a high prevalence of MetS (83.5%), T2DM (81.3%), and BMI ≥ 40 kg/m2 (18%). Median CAP score was 344 dB/m, ranging from 128 to 400 dB/m. BMI (aOR 1.140 95% CI 1.068-1.216), requirement for insulin (aOR 2.599 95% CI 1.212-5.575), and serum ALT (aOR 1.018 95% CI 1.004-1.033) were independently associated with CAP ≥ 300 dB/m. Patients with CAP interquartile range < 40 (68%) had a higher median serum ALT level (p = 0.029), greater prevalence of BMI ≥ 40 kg/m2 (p = 0.020) and higher median CAP score (p < 0.001). Patients with higher CAP scores were more likely to have MetS (aOR 1.011 95% CI 1.003-1.019), HBA1c ≥ 7 (aOR 1.010 95% CI 1.003-1.016), requirement for insulin (aOR 1.007 95% CI 1.002-1.013) and hypertriglyceridemia (aOR 1.007 95% CI 1.002-1.013). CONCLUSIONS: Our data demonstrate that an elevated CAP reflects suboptimal metabolic control. In diabetic patients with NAFLD, CAP may be a useful point-of-care test to identify patients at risk of poorly controlled metabolic comorbidities or advanced diabetes.

Multimorbidity and polypharmacy in diabetic patients with NAFLD: Implications for disease severity and management.

An observational study describing the number and type of chronic conditions and medications taken by diabetic patients with NAFLD and identifying characteristics that may impact liver disease severity or clinical management.Adults with type 2 diabetes have a high prevalence of nonalcoholic fatty liver disease (NAFLD) and increased risk of developing advanced liver disease. Appropriate management should consider the characteristics of the diabetic NAFLD population, as comorbid conditions and medications may increase the complexity of treatment strategies.Diabetic patients with NAFLD at risk of clinically significant liver disease (as assessed by the FIB-4 or NAFLD fibrosis scores) were recruited consecutively from the Endocrine clinic or primary care. Medical conditions, medication history, anthropometric measurements, and laboratory tests were obtained during assessment. NAFLD severity was classified by transient elastography and liver ultrasound into "no advanced disease" (LSM < 8.2 kPa) or "clinically significant liver disease" (LSM ≥ 8.2 kPa).The most common coexistent chronic conditions were metabolic syndrome (94%), self-reported "depression" (44%), ischaemic heart disease (32%), and obstructive sleep apnoea (32%). Polypharmacy or hyperpolypharmacy was present in 59% and 31% of patients respectively. Elevated LSM (≥ 8.2 kPa) suggesting significant liver disease was present in 37% of this at-risk cohort. Increasing obesity and abdominal girth were both independently associated with likelihood of having significant liver disease.There is a high burden of multimorbidity and polypharmacy in diabetic NAFLD patients, highlighting the importance of multidisciplinary management to address their complex health care needs and ensure optimal medical treatment.