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Symptoms of depression are transdiagnostic heterogenous features frequently assessed in psychiatric disorders, that impact the response to first-line treatment and are associated with higher suicide risk. This study assessed whether severe mental pain could characterize a specific phenotype of severely depressed high-risk psychiatric patients. We also aimed to analyze differences in treatments administered.
2,297 adult patients (1,404 females and 893 males; mean age = 43.25 years, SD = 15.15) treated in several Italian psychiatric departments. Patients were assessed for psychiatric diagnoses, mental pain, symptoms of depression, hopelessness, and suicide risk.
More than 23% of the patients reported high depression symptomatology and high mental pain (HI DEP/HI PAIN). Compared to patients with lower symptoms of depression, HI DEP/HI PAIN is more frequent among females admitted to an inpatient department and is associated with higher hopelessness and suicide risk. In addition, HI DEP/HI PAIN (compared to both patients with lower symptoms of depression and patients with higher symptoms of depression but lower mental pain) were more frequently diagnosed in patients with personality disorders and had different treatments.
Patients reporting severe symptoms of depression and high mental pain presented a mixture of particular dangerousness (high trait hopelessness and the presence of suicide ideation with more frequency and less controllability and previous suicide behaviors). The presence of severe mental pain may act synergically in expressing a clinical phenotype that is likewise treated with a more complex therapeutic regime than that administered to those experiencing symptoms of depression without mental pain.
This paper delves into the ways in which EU competition law affects the right of workers to organize and combine with each other and act, collectively, in the furtherance of their rights and interests at work, in particular by means of collective agreements concluded with one or more employers. It begins by opposing the limited ‘labour exemption’ contained in the recent competition caselaw and contrasts that with a more traditional ‘labour law’ approach, that would typically see collective bargaining as a fundamental, and universal, labour rights to be enjoyed by all workers, or in the alternative will have to integrate the asymmetry of bargaining power between labour and digital monopsonies. We put forward a more nuanced and balanced approach, by reference to the concept of ‘predominantly personal work’, that could act as the new watershed concept around which labour rights and competition law could define their respective fields of operation and which may already inspire the recent Commission’s proposals enabling self-employed without employees (“solo self-employed”) to access the right to bargain collectively on a number of issues with digital platforms.
The elderly population and numbers of nursing homes residents are growing at a rapid pace globally. Uncertainty exists regarding the actual rates of major depressive disorder (MDD), bipolar disorder and schizophrenia as previous evidence documenting high rates relies on suboptimal methodology.
To carry out a systematic review and meta-analysis on the prevalence and correlates of MDD, bipolar disorder and schizophrenia spectrum disorder among nursing homes residents without dementia.
Major electronic databases were systematically searched from 1980 to July 2017 for original studies reporting on the prevalence and correlates of MDD among nursing homes residents without dementia. The prevalence of MDD in this population was meta-analysed through random-effects modelling and potential sources of heterogeneity were examined through subgroup/meta-regression analyses.
Across 32 observational studies encompassing 13 394 nursing homes residents, 2110 people were diagnosed with MDD, resulting in a pooled prevalence rate of 18.9% (95% CI 14.8–23.8). Heterogeneity was high (I2 = 97%, P≤0.001); no evidence of publication bias was observed. Sensitivity analysis indicated the highest rates of MDD among North American residents (25.4%, 95% CI 18–34.5, P≤0.001). Prevalence of either bipolar disorder or schizophrenia spectrum disorder could not be reliably pooled because of the paucity of data.
MDD is highly prevalent among nursing homes residents without dementia. Efforts towards prevention, early recognition and management of MDD in this population are warranted.
MRS of the breast is more technically demanding than that in the brain.
Cho levels have been reported to be higher in malignant breast cancer than in benign lesions and normal breast tissue.
Early decreases in Cho signal intensity may be seen in lesions that respond to treatment.
MRS is limited by sensitivity to lesions at least 1 cm3.
Inadequate sensitivity may lead to false negatives, and both false positives and negatives may arise due to insufficient water and lipid suppression, or other artifacts.
Introduction: MRS of breast tissues
Although the vast majority of magnetic resonance spectroscopy (MRS) studies in humans have been performed to date in the central nervous system, there is growing interest in the application of MRS to other organ systems in the body. This is particularly true for areas such as breast cancer, where conventional diagnostic techniques have relatively limited sensitivity and/or specificity. MRS of the breast presents a number of technical challenges (described in detail later in this chapter) which are gradually being overcome, allowing clinical research studies to be performed. Early MRS studies of human breast cancer focused on the phosphorus (31P) nucleus, since localized, water-suppressed proton spectroscopy was not available at that time. However, with the development of improved gradient hardware, spatial localization, and water suppression techniques, 31P spectroscopy has largely been replaced by proton (1H) MRS. The much higher sensitivity of the proton nucleus allows spectra with higher signal-to-noise ratios (SNR) to be recorded from smaller volumes of tissue compared to 31P.
TBI is a major cause of morbidity in young adults and children.
Low levels of NAA and, if seen, increased lactate, in the early stage of injury are prognostic of poor outcome.
Other common metabolic abnormalities in TBI (most of which also correlate with poor outcome) include increased levels of choline, myo-inositol, and glutamate plus glutamine.
Metabolic abnormalities are observed with MRS in regions of the brain with normal appearance in conventional MRI.
MRI and MRS are difficult to perform in acutely ill TBI patients: MRS may be more feasible in mild TBI patients for the purpose of predicting long-term cognitive deficits.
The role of MRS in guiding TBI therapy is unknown.
The comparative value of MRS compared to other advanced imaging modalities remains to be determined.
Traumatic brain injury (TBI) is a leading cause of death and lifelong disability among children and young adults across the developed world. TBI is estimated to result in greater than $60 billion in direct and indirect annual costs due to health care and work loss disability. The Centers for Disease Control and Prevention (CDC) estimate that each year approximately 1.4 million Americans survive a TBI, among whom approximately 235,000 are hospitalized. Approximately 80,500 new TBI survivors are left each year with residual deficits consequent to their injury, which lead to long-term disabilities that may or may not be improved through rehabilitation. In 2001, 157,708 people died from acute traumatic injury, which accounted for about 6.5% of all deaths in the United States.
Prostate cancer has a high incidence, and is one of the leading causes of death in men.
The sensitivity and specificity of diagnosing prostate cancer with conventional imaging methods (ultra sound, MRI) is relatively low.
The normal prostate contains high levels of citrate (Cit) which can be detected in the proton spectrum at 2.6 ppm. Other compounds detectable in vivo include creatine, choline, spermine, and lipids.
Citrate is a strongly coupled mutiple at 1.5 and 3.0 T. For optimum detection, careful attention to pulse sequence parameters (TR, TE) is required. TE 120 ms is commonly used at 1.5 T, and TE 75–100 ms at 3 T.
Multiple studies have reported that prostate cancer is associated with decreased levels of citrate and increased levels of Cho, compared to both normal prostate and also benign prostatic hyperplasia (BPH).
MRS and MRSI of the prostate is technically challenging: water- and lipid-suppressed 3D-MRSI is the method of choice for most prostate spectroscopy studies.
Some studies report that adding MRSI to conventional MRI increases sensitivity and specificity of prostate cancer diagnosis.
MRSI is traditionally performed with an endorectal surface coil, but acceptable quality data may be obtained at 3 T with external phased-array coils which are more comfortable for patients.
Despite the relatively common occurrence of neurodegenerative diseases, MRS is lightly used in these conditions, most likely because of lack of sensitivity and overlap of spectral findings in different disorders.
MRS usually shows decreased levels of NAA in dementia.
Dementias associated with gliosis (e.g. Alzheimer's) also have increased myo-inositol (mI).
mI/NAA ratios correlate with clinical severity and histopathological involvement in Alzheimer's disease.
mI/NAA ratios, and regional variations in metabolite levels, may be helpful in the differential diagnosis of different dementias (Alzheimer, vascular, frontotemporal, Lewy body).
Parkinson's disease does not seem to be associated with any metabolic disorders, although other Parkinsonian disorders (e.g. multiple system atrophy) may show reduced NAA in the basal ganglia.
Metabolic changes in Huntington's disease are unclear; some studies have reported elevated lactate levels in the basal ganglia, but others have not.
Prion diseases are characterized by decreased NAA levels.
In amyotrophic lateral sclerosis (ALS), upper motor neuron NAA decreases may be helpful in establishing a diagnosis.
Neurodegenerative diseases include a very wide group of disorders affecting the central nervous system (CNS). Many of these disorders arise from the combined effects of genetic predisposition and environmental factors. This results in reduced cognition (e.g. Alzheimer's disease, dementia with Lewy bodies, and vascular dementia), motor system performance (e.g. amyotrophic lateral sclerosis), or both (e.g. Parkinson's disease and prion diseases).
In vivo magnetic resonance spectrosopy (MRS) is increasingly being used in the clinical setting, particularly for neurological disorders. Clinical MR Spectroscopy – Techniques and Applications explains both the underlying physical principles of MRS and provides a perceptive review of clinical MRS applications. Topics covered include an introduction to MRS physics, information content of spectra from different organ systems, spectral analysis methods, recommended protocols and localization techniques, and normal age- and region-related spectral variations in the brain. Clinical applications in the brain are discussed for brain tumors, hypoxic and ischemic injury, infectious, inflammatory and demyelinating diseases, epilepsy, neurodegenerative disorders, trauma and metabolic diseases. Outside of the brain, techniques and applications are discussed for MRS in the musculosketal system, breast and prostate. Written by leading MRS experts, this is an invaluable guide for anyone interested in in vivo MRS, including radiologists, neurologists, neurosurgeons, oncologists and medical researchers.
MRS is principally used as an adjunct diagnostic technique for evaluating patients with medically intractable epilepsy (in order to identify the seizure focus).
Most commonly, NAA is reduced in epileptogenic tissue; metabolic abnormalities are often subtle.
Metabolic abnormalities may be more widespread than seen on MRI, and present in the contralateral hemisphere.
MRS may occasionally be helpful when other techniques (e.g. MRI) are either normal or non-specific.
MRS measures of the inhibitory neurotransmitter GABA using spectral editing may help determine optimal drug regimen.
MRS may also be a useful research tool for determining epileptogenic networks in the brain.
Epilepsy, the condition of recurrent seizures, is a relatively common neurological disorder, estimated to affect between 1 and 2 million people in the US alone. A multitude of etiologies cause epilepsy, including tumors, developmental abnormalities, febrile illness, trauma, or infection. However, not infrequently, the cause is unknown. Many patients with epilepsy can be successfully treated pharmacologically, but when medical management fails to adequately control seizure activity, surgical resection of the epileptogenic tissue may be considered. For surgery to be successful, seizures must be of focal onset from a well-defined location. It has been estimated that up to 10% of patients with epilepsy are medically intractable, of whom approximately 20% may be candidates for surgical treatment. Traditionally, scalp electroencephalography (EEG) and often invasive (subdural grid or depth electrode) EEG are used to identify the epileptogenic regions of the brain, but increasingly magnetic resonance imaging (MRI), positron emission tomography (PET), ictal single photon emission computed tomography (SPECT), and, more recently, magnetoencephalography (MEG) are also used.
Substantial regional variations in proton brain spectra exist; differences between gray and white matter, anterior–posterior gradients, and differences between the supra- and infra-tentorial brain are common.
Spectra change rapidly over the first few years of life; at birth, NAA is low, and choline and myo-inositol are high. By about 4 years of age, spectra from most regions have a more “adult-like” appearance.
In normal development, only subtle age-related changes are found between the ages of 4 and 20 years.
In normal aging, only subtle age-related changes are found. A recent meta-analysis indicated the most common findings are mildly increased choline and creatine in frontal brain regions of elderly subjects (> 68 years), and stable or slightly decreasing (parietal regions only) NAA.
Interpretation of spectra from patients with neuropathology requires a knowledge of the normal regional and age-related spectral variations seen in the healthy brain. This is a difficult issue, since spectra are quite dependent on the technique used to record them (particularly choice of echo time, and field strength), and also show quite large regional and age-related (at least in young children) dependencies. However, while there still remain some gaps in the literature (e.g. detailed, regional studies in very young children), for the most part regional and age-related changes in brain spectra are now well-characterized. This chapter reviews what is known about regional metabolite variations, as well as metabolic changes associated with brain development, and aging.
MRS can provide useful clinical, metabolic information in infection, inflammation, and demyelination.
Pyogenic abscess have a unique metabolic pattern with decreased levels of all normally observed brain metabolites, and elevation of succinate, alanine, acetate, and amino acids, as well as lipids and lactate. This pattern is quite distinct from that seen in brain tumors.
Tuberculomas are characterized by elevated lipid and an absence of all other resonances.
MRS is extensively used in research studies of HIV infection; early changes include elevated choline and myo-inositol perhaps associated with microglial proliferation, while later changes (associated with cognitive impairment, and dementia) include reduced NAA (neuronal loss).
MRS may also be useful in assisting differential diagnosis in HIV-associated lesions.
MRS shows decreased NAA (suggesting axonal dysfunction and loss) in early multiple sclerosis, as well as increased Cho and myo-inositol and lipids (suggesting demyelination). NAA correlates with clinical disability. White matter that appears normal on T2 MRI may be abnormal metabolically in MS. Lactate may be elevated in acute, inflammatory demyelination.
Acute disseminated encephalomyelitis (ADEM) may show similar spectral patterns to MS; however, ADEM with good clinical outcome usually only shows mild NAA losses in lesions.
Intracranial infection, inflammation, and demyelination include a wide range of disorders of the central nervous system (CNS). Magnetic resonance imaging (MRI) plays a crucial role in the diagnosis and therapeutic decision making in these diseases.
Correct post-processing and quantitation are key aspects of in vivo MRS.
Filtering, phase-correction and baseline correction improve MRS data.
Peak area estimation can be done using parametric or non-parametric routines in either the time domain or frequency domains.
“LCModel” software is becoming widely used and accepted, particularly for single-voxel MRS data.
MRSI processing requires additional steps; k-space filtering and other manipulations can improve MRSI data quality.
A variety of strategies are available for quantitation, based on either internal or external reference standards, or phantom replacement methodology.
Quantitation routines should take into account voxel composition, particularly the amount of CSF partial volume present.
MRS is sensitive to field inhomogeneity and other artifacts.
Methods for spectral analysis and the quantitative analysis of spectral data are arguably as important as the techniques used to collect the data; the use of incorrect analysis methods can lead to systematic errors or misinterpretation of spectra. In general, the ultimate goal of spectral analysis is to determine the concentrations of the compounds present in the spectra. In MRS, the area under the spectral peak is proportional to the metabolite concentration; however, determining the proportionality constant can be challenging. In addition, peak area measurements in in-vivo spectroscopy are complicated by resonance overlap, baseline distortions, and lineshapes that often only poorly approximate conventional models such as Gaussian or Lorentzian functions. Therefore, quantitative analysis of in vivo MRS data is challenging. This chapter reviews basic spectral processing techniques, methods for determining peak areas, and strategies for calculating metabolite concentrations.
31P-MRS allows the detection of phosphate-containing metabolites that are central to energy metabolism, and therefore is particularly suitable for studying muscle physiology and its disorders in vivo.
Time-resolved signals from inorganic phosphates, phosphocreatine, phosphodiesters/monoesters, and intermediates of ATP reflect physiologic changes in muscles during rest, exercise, and recovery.
Quantitative analysis of metabolites allows estimates of cytosolic ADP based on a number of assumptions, and the recovery of ADP has been used as a measure of in vivo mitochondrial function.
In pathologic states including metabolic (mitochondrial or glycolytic pathway) dysfunction, hereditary and acquired myopathies, 31P-MRS shows biochemical alterations (reduced PCr, increased Pi, slow ADP recovery) that tend to overlap between pathologies.
Glycogenolytic disorders (such as McArdle's disease) may show paradoxical alkalosis during exercise.
Muscle 31P-MRS is valuable in monitoring therapeutic response in a number of neuromuscular disorders.
1H-MRS currently has a limited role in the clinical evaluation of musculoskeletal disease, but has been used as a research tool to assess intramyocellular lipid, which has been implicated in skeletal muscle insulin resistance and type 2 diabetes mellitus.
Magnetic resonance spectroscopy (MRS) of skeletal muscle has been studied over several decades. In particular, muscle MRS has been utilized to study carbohydrate metabolism (by 13-carbon (13C) MRS), lipid metabolism (by proton (1H) MRS) and, more widely, energy metabolism (by 31-phosphorus (31P) MRS).