Page 20 - Read Online
P. 20

Page 10 of 22  Ballestri et al. Metab Target Organ Damage 2023;3:1  https://dx.doi.org/10.20517/mtod.2022.23



 CAD severity was assessed with the number of   risk of CVEs and CV mortality
 diseased vessels, Gensini, Syntax, and Jeopardy   At Cox MVA, NFS and FIB-4 were independently associated with CVEs [HR (95%CI): 1.150
 scores   (1.063-1.244), P < 0.001 and 1.128 (1.026-1.240), P = 0.012] (adjusted for sex, BMI, current
 Outcome: predictive values of NFS and FIB-4 for   smoking, T2D, hypertension, family history of CAD, left ventricular ejection fraction, creatinine,
 CAD severity, CAC, and CVEs  TG, LDL-C, HDL-C and baseline statin use)
 [73]
 Zupo et al.  1929 elderly patients were recruited in a   The eight-year risk of death was almost two-fold among individuals in the highest-risk FIB-4   In clinical practice, FIB-4 may help to identify
 population study in southern Italy, followed for   score group, even after controlling for possible confounding factors (age, sex, smoking,   individuals at risk of higher mortality
 eight years   education, alcohol consumption, and multimorbidity)
 Based on the FIB-4 score, patients were assigned  FIB-4 scores were associated with a steeper mortality curve than the APRI scores
 to three liver fibrosis risk groups (low,
 intermediate, and high)
 For comparison purposes, the APRI score was
 also calculated in secondary analyses
 [74]
 Zupo et al.  1929 elderly individuals   Compared to non-frail elderly individuals, liver frailty subjects were significantly older, with lower  Compared to non-frail controls, the liver frailty
 Cardiovascular Health Study criteria were   education and higher multimorbidity   phenotype - defined based on simple measures
 employed to classify physical frailty   At Cox MVA, a two-fold increased overall mortality risk (HR 2.09) was found after adjusting for  primarily available in a primary care setting - is
 Mean observation time from a maximum of 56.87  confounding factors (age, sex, education, and alcohol consumption)  associated with a two-fold increased risk of
 ± 22.41 to a minimum of 48.49 ± 18.69 months        overall mortality in a patient population from
 Physical frailty + FIB-4 above 2.67 is defined as   southern Italy
 “liver frailty”
 Physical frailty, high-risk liver fibrosis, and liver
 frailty subjects were compared to non-frail
 controls
 Proportional Cox regression tested each
 category’s adjusted association between liver
 frailty and all-cause mortality

 Vieira   81,108 patients with (a) NAFLD, (b) NASH, or (c)  After adjusting for established CVR factors, FIB-4 ≥ 2.67 remained the strongest independent   FIB-4 ranks as the most accurate predictive
 Barbosa   at risk of NASH. Median follow-up: 3 years   predictor of MACE overall (aHR 1.80) and was significantly associated with MI (aHR 1.46),   factor of MACE, irrespective of traditional CVR
 [75]
 et al.  Outcome: MACE (i.e., MI, hospitalization for   hospitalization for unstable angina (aHR 1.24), hospitalization for HF (aHR 2.09), CABG (aHR   factors and hepatic diagnosis at the baseline
 unstable angina or HF, and coronary   1.65), and PCI (aHR 1.72)
 revascularization)

 AF: Atrial fibrillation; aHR : adjusted hazard ratio; APRI: aspartate aminotransferase to platelet ratio index; ARR: aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio; ASCVD atherosclerotic
 cardiovascular disease; AUROC: area under the receiver operating charcateristics curve; BARD: BMI, AAR, Diabetes; BMI: body mass index; CAC: coronary artery calcification; CABG: coronary artery bypass graft;
 CAD: coronary artery disease; CI: confidence intervals; CKD: chronic kidney disease; CRP: C reactive protein; CVD: cardiovascular disease; CVEs: cardiovascular events; CVR: cardiovascular risk; eGFR: estimated
 glomerular filtration rate; ES: effect size; FIB-4: fibrosis-4 score; FR: Framingham risk; FRS: Framingham risk score; GPR: gamma-glutamyltransferase-to-platelet ratio; HbA1c: glycosylated hemoglobin; HBV: hepatitis
 B virus; HCV: hepatitis C virus; HDL-C: high-density lipoprotein cholesterol; HF: heart failure; HFpEF: heart failure with preserved ejection fraction; HFS: Hepamet fibrosis score; aHR: adjusted HR; HR: hazard ratio;
 hsCRP: high specificity C reactive protein; LDL-C: low-density lipoprotein cholesterol; KNHNES: Korea National Health and Nutrition Examination Survey; MACE: major cardiovascular events; MetS: metabolic
 syndrome; MI: myocardial infarction; MVA: multivariate analysis; NAFLD: nonalcoholic fatty liver disease; NFS: NAFLD fibrosis score; NPV: negative predictive value; NASH: nonalcoholic steatohepatitis; NYHA: New
 York Heart Association; PCI: percutaneous coronary intervention; PRA: proportional regression analysis; SCORE: European Systematic Coronary Risk Evaluation calculator; SBP, systolic blood pressure; SD, standard
 deviation; T2D: type 2 diabetes; TG: triglycerides; US: ultrasonography; WFA+ -M2BP: Wisteria floribunda agglutinin- positive Mac-2 binding protein.



 VCTE, ARFI, and SSI have shown good accuracy for noninvasively assessing the degree of fibrosis in patients with biopsy-proven NAFLD, although fewer
 studies are available for SSI, and more data are requested regarding the best cut-off points for ARFI and SSI [52,82-85] . However, VCTE and SWE techniques are
   15   16   17   18   19   20   21   22   23   24   25