Minimal Hepatic Encephalopathy Affects Daily Life of Cirrhotic Patients: A Viewpoint on Clinical Consequences and Therapeutic Opportunities
Abstract
:1. Introduction
2. Minimal Hepatic Encephalopathy
3. Diagnosis of Minimal Hepatic Encephalopathy
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- Animal naming test (ANT): This is useful as a screening test. Patients have to list as many animals as possible in one minute and a number of animals <15 is indicative of MHE; it is conditioned by education level (<8 years) and age (>80 years);
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- Psychometric hepatic encephalopathy score (PHES): This is considered the gold standard for MHE diagnosis (Figure 1). It includes a battery of “paper-pencil” tests for the assessment of psychomotor speed and skill, set shifting, attention, visuospatial orientation, concentration and memory; it lasts about 15 min and a score <−4 is indicative of MHE;
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- Critical flicker frequency (CFF): he has to press a button as soon as the impression of fused light switches to oscillating light; it takes about 10 min and it is useful for the evaluation of visual apparatus and cerebral cortex;
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- Continuous reaction time test (CRT): The patient has to press a button in response to one-hundred 500 Hz tones presented at 90 dB in random intervals. CRT-index expresses the variability of response times and state of alertness.
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- Inhibitory control test (ICT): Several letters are presented at 500 msec intervals, with X and Y interspersed within these letters; patients have to respond only when X and Y are alterning (targets) and not when X and Y are non-altering (lures). This test assesses attention and inhibition (Figure 2);
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- Stroop test: In the OFF state, the patient sees a neutral stimulus and has to respond as soon as possible by touching the matching colour of the stimulus to the colour displayed at the bottom of the screen. In the ON phase, the patient sees discordant stimuli and has to touch the colour of the word presented, which is the name of the colour in discordant colouring. This test assesses attention;
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- EEG (electroencephalogram): This is useful for studying the cortical activity. In patients with OHE, cerebral activity is slower and three-phase waves are observed [16]. In patients with MHE, the quantative EEG (q-EEG) shows an increase in theta band and a decrease in the MDF (mean dominant frequency) in the posterior derivations, and changes in MDF during sleep represent early markers of brain disfunction. The q-EEG analysis shows alterations in slow oscillatory activity, with an increase in the frequency of dominant delta-rhythm. Evoked potentials: P300 wave (elicited by decision making) has lower amplitude and frequency in MHE [2];
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- Magnetic resonance imaging (MRI), MR spectroscopy (MRS) and artificial intelligence: The use of MRI with voxel-based morphometry analysis in patients with liver cirrhosis for the assessment of brain density reveals a reduction in both white and gray matter, mainly in patients with alcoholic etiology, previous OHE and MHE. Such alterations seem to persist even after liver transplantation [17].
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- MRS allows the measurement of different metabolites in the brain. In patients with HE, this analysis showed a reduced concentration of myoinositol, increased level of glutamine and decreased choline peak intensities. The elevation of cerebral glutamine concentration is probably do to hyperammonemia, while the lower concentration of myoinositol suggests an important osmoregulatory activity within the astrocyte. These alterations seem to correlate with the grade of HE, as well as with the performance in neuropsychological tests [18,19]. Recently, artificial intelligence has been introduced into many areas of medicine and clinical practice. Several studies have been performed regarding its role in hepatology and MHE diagnosis, mostly using brain magnetic resonance imaging but only in research settings. Machine learning-based approaches role is to examine functional magnetic resonance imaging (fMRI) data in a multivariate manner and extract features predictive of group membership. In particular, using information regarding microstructural integrity and water movement through cell membranes of white matter and the total grey matter volume; machine learning can discriminate cirrhotic patients with and without MHE. However, the costs associated with these technologies are high and currently not sustainable in clinical practice [20].
4. Minimal Hepatic Encephalopathy and Quality of Life
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- Sickness impact profile (SIP): this questionnaire is based on 136 items grouped into 12 scales (sleep and rest, eating, work, housekeeping, recreation and hobbies, walking, mobility, body care and movement, social interaction, vigilance, emotional behavior and communication) and provides a total score ranging from 0, corresponding to the best emotional state, to 100, corresponding to the worst one [21];
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- Chronic liver disease questionnaire (CLDQ): This contains twenty-nine items grouped into six domains that include abdominal symptoms (three items), fatigue (five items), systemic symptoms (five items), activity (three items), emotional function (eight items) and worry (five items). For each question, patients use a 7-point scale; higher scores indicate better quality of life [22];
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- Short Form-36 (SF-36): This is a paper–pencil test adjusted for age and educational level. This test measures eight domains; four related to “physical health” (physical functioning, physical limitation, physical pain and general health) and four related to “mental health” (vitality, mental health and social functioning). Each domain has a score from 0 to 100 and higher scores indicate better quality of life. However, it has only been validated in the Italian population [23,24];
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- Nottingham Health Profile (NHP).
4.1. Sleep Disorders
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- Insomnia, difficulty getting to sleep or difficulty staying asleep;
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- Hypersomnia or excessive sleepiness;
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- Unusual events associated with sleep, such as apnea or abnormal movements [36].
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- Pittsburgh Sleep Quality Index (PSQI): This is the gold standard for the assessment of the previous month’s sleep, and it lasts about 15 min. It includes 19 items grouped into seven groups (sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, sleep medication and diurnal dysfunction). For each group is assigned a score from 0 to 3 and their sum results in a total score between 0 and 21. A score > 5 indicates poor sleep quality;
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- Sleep Timing and Sleep Quality Screening Questionnaire (STSQS): This is a simplified and faster form of the previous one, taking only 2 min. It provides information on sleep quality and time, such as the time you go to bed, latency, night awakenings and wake up in the morning;
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- The Epworth Sleepiness Scale (ESS): this assesses daytime sleepiness in eight different situations (while reading, in front of TV, sitting in a public place, passenger in a car, while stopped in traffic, afternoon rest, while talking to someone and sitting after a meal).
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- Polysomnography (PSG): this represents the gold standard because it assesses brain electrogenesis, eye and skeletal muscle movements, blood oxygen level and respiratory rhythms during sleep. However, it is expensive and time consuming, so it is generally used for research purposes.
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- Actigraphy: this is a semi-quantitative technique that uses an actigraph, which is a three-dimensional sensor placed on a wrist that records patients’ movements. Actigraphy assesses periods of quiet and movement over one or more days, considering that if a patient is awake there are movements, while if he is asleep, they are absent. Information obtained are related to total sleep duration, sleep latency and number of nocturnal awakenings [37].
4.2. Falls
4.3. Ability to Work and Wages
4.4. Driving Skills
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- Neuropsychological assessment of cognitive domains involved in driving activity;
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- Virtual simulators: i.e., SIMUVEG driving simulator, STISIM simulator. During the simulation, which lasts > 10 min, several variables related to roads, times, distances, actions and decisions are considered to evaluate the driver’s driving ability. Two essential aspects of driving performance are longitudinal and lateral control of the vehicle. The former is related to average speed, while lateral control is related to angular speed, wheel movement, distance and time-to-line crossing [56,57];
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- Road tests: The assessment is performed by a professional driving instructor who is unaware of the subjects’ diagnosis and test results. The assessment is based on the evaluation of four driving categories: car handling, adaptation to traffic situations, caution and vehicle maneuverings. The driving instructor uses a point rating scale to judge driving competence for each category and gave a final score for the overall impression [58].
5. Development of “Overt” Hepatic Encephalopathy and Prognosis
6. Therapy of Minimal Hepatic Encephalopathy
7. Conclusions and Future Perspective
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Faccioli, J.; Nardelli, S.; Gioia, S.; Riggio, O.; Ridola, L. Minimal Hepatic Encephalopathy Affects Daily Life of Cirrhotic Patients: A Viewpoint on Clinical Consequences and Therapeutic Opportunities. J. Clin. Med. 2022, 11, 7246. https://doi.org/10.3390/jcm11237246
Faccioli J, Nardelli S, Gioia S, Riggio O, Ridola L. Minimal Hepatic Encephalopathy Affects Daily Life of Cirrhotic Patients: A Viewpoint on Clinical Consequences and Therapeutic Opportunities. Journal of Clinical Medicine. 2022; 11(23):7246. https://doi.org/10.3390/jcm11237246
Chicago/Turabian StyleFaccioli, Jessica, Silvia Nardelli, Stefania Gioia, Oliviero Riggio, and Lorenzo Ridola. 2022. "Minimal Hepatic Encephalopathy Affects Daily Life of Cirrhotic Patients: A Viewpoint on Clinical Consequences and Therapeutic Opportunities" Journal of Clinical Medicine 11, no. 23: 7246. https://doi.org/10.3390/jcm11237246
APA StyleFaccioli, J., Nardelli, S., Gioia, S., Riggio, O., & Ridola, L. (2022). Minimal Hepatic Encephalopathy Affects Daily Life of Cirrhotic Patients: A Viewpoint on Clinical Consequences and Therapeutic Opportunities. Journal of Clinical Medicine, 11(23), 7246. https://doi.org/10.3390/jcm11237246