Intelligent Liver Function Testing (iLFT):An Intelligent Laboratory Approach to Identifying Chronic Liver Disease

The intelligent Liver Function Testing (iLFT) pathway is a novel, algorithm-based system which provides automated laboratory investigations and clinical feedback on abnormal liver function test (LFT) results from primary care. iLFT was introduced to NHS Tayside, Scotland, in August 2018 in response to vast numbers of abnormal LFTs, many of which were not appropriately investigated, coupled with rising mortality from chronic liver disease. Here, we outline the development and implementation of the iLFT pathway, considering the implications for the diagnostic laboratories, primary care services and specialist hepatology clinics. Additionally, we describe the utility, outcomes and evolution of iLFT, which was used over 11,000 times in its first three years alone. Finally, we will consider the future of iLFT and propose areas where similar ‘intelligent’ approaches could be used to add value to laboratory investigations.</p

Intelligent Liver Function Testing (iLFT):An Intelligent Laboratory Approach to Identifying Chronic Liver Disease

The intelligent Liver Function Testing (iLFT) pathway is a novel, algorithm-based system which provides automated laboratory investigations and clinical feedback on abnormal liver function test (LFT) results from primary care. iLFT was introduced to NHS Tayside, Scotland, in August 2018 in response to vast numbers of abnormal LFTs, many of which were not appropriately investigated, coupled with rising mortality from chronic liver disease. Here, we outline the development and implementation of the iLFT pathway, considering the implications for the diagnostic laboratories, primary care services and specialist hepatology clinics. Additionally, we describe the utility, outcomes and evolution of iLFT, which was used over 11,000 times in its first three years alone. Finally, we will consider the future of iLFT and propose areas where similar ‘intelligent’ approaches could be used to add value to laboratory investigations.</p

Enhanced liver fibrosis (ELF) score predicts hepatic decompensation and mortality

BACKGROUND &amp; AIMS: In community pathways for detection of liver disease the most common reason for referral is fibrosis assessment. We investigated the impact of adding the Enhanced Liver Fibrosis (ELF) score as a second-line test (subsequent to an indeterminate or high Fibrosis-4 index [FIB-4] and/or non-alcoholic fatty liver disease fibrosis score) to guide referral and prognostication in our multi-aetiology pathway.METHODS: Patients with ELF results from the intelligent Liver Function Testing (iLFT) pathway were recruited. Case note review was undertaken to compare ELF with endpoints of cirrhosis, hepatic decompensation, and mortality (liver-related and all-cause death).RESULTS: In total, 1,327 individuals were included with a median follow-up of 859 days and median ELF score of 10.2. Overall sensitivity for cirrhosis at the 9.8 threshold was 94% (100% for metabolic-associated steatotic liver disease, 89% for alcohol-related liver disease). Determination of the ELF score as a second-line test reduced the referral rate by 34%. ELF scores predicted hepatic outcomes; each unit change was associated with increased decompensation (adjusted Hazard Ratio [aHR] 2.215, 95% CI: 1.934-2.537) and liver-related mortality (aHR 2.024, 95% CI: 1.674-2.446). ELF outperformed FIB-4 for risk of liver-related mortality, particularly in the short-term (area under the curve [AUC] 94.3% vs. 82.8% at six months). Where FIB-4 was indeterminate, ELF had higher AUC for all outcomes within at least 2 years. ELF ≥13 was associated with particularly high rates of decompensation (26% within 90 days) and all-cause mortality (38% at 1 year). CONCLUSIONS: The addition of ELF reduced the number of individuals referred for fibrosis assessment following iLFT pathway testing and provided useful prognostic information. Individuals with ELF scores ≥13 were considered at high-risk of negative outcomes warranting urgent clinical assessment.IMPACT AND IMPLICATIONS: Primary care pathways for suspected liver disease are increasingly common and often lead to increased specialist hepatology referrals for fibrosis assessment. This study, using clinical follow-up for liver-related outcomes, provides further evidence supporting ELF testing to safely reduce referrals in a two-step approach when combined with other simple fibrosis markers. Additionally, ELF scores predict liver-related morbidity and mortality, with ELF scores ≥13 indicating particularly high-risk patients. This study may help inform the implementation of diagnostic pathways for early detection of liver disease and highlights the need for urgent review of individuals with very high ELF scores.</p

Personalising laboratory medicine in the ‘real world’:assessing clinical utility, by clinical indication, of serum total B12 and Active-B12® (holotranscobalamin) in the diagnosis of vitamin B12 deficiency

BACKGROUND: Assessing the pre- and post-test probability of disease in the context of routine health care is challenging. We wished to study how test performance parameters relating to clinical utility vary by clinical indication in a ‘real-world’ setting. METHODS: The diagnostic accuracy of serum total B(12) and Active-B(12)® (holotranscobalamin) was evaluated in a primary care population, using serum methylmalonic acid as the reference standard. We used electronic requesting to establish the clinical indication for each request. Routine requests from primary care for serum total B(12) were included if creatinine was also measured and estimated glomerular filtration rate was at least 60 mL/min/1.73 m(2). RESULTS: Clinical indications included peripheral neuropathy (n = 168), anaemia (n = 168), cognitive decline (n = 125), suspected dietary deficiency (n = 76), other (n = 362). For peripheral neuropathy, the area under the receiver operator curve ± 95% confidence interval (AUC ± CI) was 0.63 (0.54–0.71) (P = 0.002) for total B(12) and 0.68 (0.60–0.77) (P < 0.0001) for Active-B(12)®. For anaemia, AUC ± CI was 0.56 (0.47–0.66) (P = 0.10) for total B(12) and 0.69 (0.59–0.78) (P < 0.0001) for Active-B(12)®. For cognitive decline, AUC ± CI was 0.54 (0.43–0.65) (P = 0.26) for total B(12) and 0.69 (0.58–0.80) (P = 0.0002) for Active-B(12)®. The pre–post-test change in probability of disease varied by clinical indication. CONCLUSION: Combining diagnostic accuracy studies and electronic testing in a ‘real-world’ setting allows clinical utility to be assessed by clinical indication. Wider application of this would permit more personalised laboratory medicine. In this study, diagnostic performance of total B(12) and Active-B(12)® varied across all indications. Active-B(12)® provided better discrimination, but this may have reflected the cut-offs used

Intelligent Liver Function Testing (iLFT):A trial of automated diagnosis and staging of liver disease in Primary Care

Background: Liver function tests (LFTs) are frequently requested blood tests which may indicate liver disease. LFTs are commonly abnormal, the causes of which can be complex and frequently under investigated. This can lead to missed opportunities to diagnose and treat liver disease at an early stage. We developed an automated investigation algorithm, which would maximise early diagnosis of liver related diseases. Our aim was to determine whether this new pathway of care, Intelligent Liver Function testing (iLFT) increased diagnosis of liver disease and was cost-effective. Methods: We developed an automated system that further investigated abnormal LFTs on initial testing samples to generate a probable diagnosis and management plan. We integrated an automated investigation algorithm into the laboratory management system, based on minimal diagnostic criteria, liver fibrosis estimation, and reflex testing for causes of liver disease. This algorithm then generated a diagnosis and/or management plan. A stepped-wedged trial design was utilised to compare LFT outcomes in General Practices in the 6 months before and after introduction of the iLFT system. Diagnostic outcomes were collated and compared. Results: Using iLFT, the diagnosis of liver disease was increased by 43%. It was cost-effective with a low initial incremental cost-effectiveness ratio (ICER) of £284 per correct diagnosis, and a saving to the NHS of £3,216 per patient lifetime. Conclusions: iLFT increases liver diagnosis, improves quality of care, and is highly cost-effective. This can be achieved with minor changes to working practices and exploitation of functionality existing within modern laboratory diagnostics systems. Lay Summary: There is a growing epidemic of advanced liver disease, this could be offset by early detection and management. Checking liver blood tests (LFTs) should be an opportunity diagnose liver problems, but abnormal results are often incompletely investigated. In this study we were able to substantially increase the diagnostic yield of the abnormal LFTs using the automated iLFT system. With the addition of referral recommendations and management plans, this strategy provides optimum investigation and management of LFTs and is cost saving to the NHS

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Keeping the Board in the Dark: CEO Compensation and Entrenchment

We study a model in which a CEO can entrench himself by hiding information from the board that would allow the board to conclude that he should be replaced. Assuming that even diligent monitoring by the board cannot fully overcome the information asymmetry visà- vis the CEO, we ask if there is a role for CEO compensation to mitigate the inefficiency. Our analysis points to a novel argument for high-powered, non-linear CEO compensation such as bonus pay or stock options. By shifting the CEO’s compensation into states where the firm’s value is highest, a high-powered compensation scheme makes it as unattractive as possible for the CEO to entrench himself when he expects that the firm’s future value under his management and strategy is low. This, in turn, minimizes the severance pay needed to induce the CEO not to entrench himself, thereby minimizing the CEO’s informational rents. Amongst other things, our model suggests how deregulation and technological changes in the 1980s and 1990s might have contributed to the rise in CEO pay and turnover over the same period

Effects of antiplatelet therapy after stroke due to intracerebral haemorrhage (RESTART): a randomised, open-label trial

Background: Antiplatelet therapy reduces the risk of major vascular events for people with occlusive vascular disease, although it might increase the risk of intracranial haemorrhage. Patients surviving the commonest subtype of intracranial haemorrhage, intracerebral haemorrhage, are at risk of both haemorrhagic and occlusive vascular events, but whether antiplatelet therapy can be used safely is unclear. We aimed to estimate the relative and absolute effects of antiplatelet therapy on recurrent intracerebral haemorrhage and whether this risk might exceed any reduction of occlusive vascular events. Methods: The REstart or STop Antithrombotics Randomised Trial (RESTART) was a prospective, randomised, open-label, blinded endpoint, parallel-group trial at 122 hospitals in the UK. We recruited adults (≥18 years) who were taking antithrombotic (antiplatelet or anticoagulant) therapy for the prevention of occlusive vascular disease when they developed intracerebral haemorrhage, discontinued antithrombotic therapy, and survived for 24 h. Computerised randomisation incorporating minimisation allocated participants (1:1) to start or avoid antiplatelet therapy. We followed participants for the primary outcome (recurrent symptomatic intracerebral haemorrhage) for up to 5 years. We analysed data from all randomised participants using Cox proportional hazards regression, adjusted for minimisation covariates. This trial is registered with ISRCTN (number ISRCTN71907627). Findings: Between May 22, 2013, and May 31, 2018, 537 participants were recruited a median of 76 days (IQR 29–146) after intracerebral haemorrhage onset: 268 were assigned to start and 269 (one withdrew) to avoid antiplatelet therapy. Participants were followed for a median of 2·0 years (IQR [1·0– 3·0]; completeness 99·3%). 12 (4%) of 268 participants allocated to antiplatelet therapy had recurrence of intracerebral haemorrhage compared with 23 (9%) of 268 participants allocated to avoid antiplatelet therapy (adjusted hazard ratio 0·51 [95% CI 0·25–1·03]; p=0·060). 18 (7%) participants allocated to antiplatelet therapy experienced major haemorrhagic events compared with 25 (9%) participants allocated to avoid antiplatelet therapy (0·71 [0·39–1·30]; p=0·27), and 39 [15%] participants allocated to antiplatelet therapy had major occlusive vascular events compared with 38 [14%] allocated to avoid antiplatelet therapy (1·02 [0·65–1·60]; p=0·92). Interpretation: These results exclude all but a very modest increase in the risk of recurrent intracerebral haemorrhage with antiplatelet therapy for patients on antithrombotic therapy for the prevention of occlusive vascular disease when they developed intracerebral haemorrhage. The risk of recurrent intracerebral haemorrhage is probably too small to exceed the established benefits of antiplatelet therapy for secondary prevention