Transitions between care settings after enrolment in a palliative care service in Italy: a retrospective analysis

This study was a retrospective analysis of prospectively collected data that aimed to map patients' care transitions following admission to a specialist palliative care service in Italy called Antea Centre. Patients' data was extracted from the Antea local database from 2007 to 2011. External transitions were defined as a change in the setting of care, with the patient no longer being cared for by Antea staff. Internal transitions were defined as a change in the setting of care, with the care still being provided by Antea staff. A total of 1123 patients out of 5313 admitted to the palliative service (21%) experienced transitions. Patients who experienced no transitions after their admission to the palliative care service were more likely to have a Karnofsky Performance Scale Index <30, to have been referred by a hospital physician, to have a shorter survival time, and to have home as their place of death (P<0.001). Although the patients with no transitions had worse clinical conditions, organisations should pay attention to reducing the possible negative effects of transitions, such as discontinuity of care and poor coordination

Structural and connectivity parameters reveal spared connectivity in young patients with non-progressive compared to slow-progressive cerebellar ataxia

INTRODUCTION: Within Pediatric Cerebellar Ataxias (PCAs), patients with non-progressive ataxia (NonP) surprisingly show postural motor behavior comparable to that of healthy controls, differently to slow-progressive ataxia patients (SlowP). This difference may depend on the building of compensatory strategies of the intact areas in NonP brain network. METHODS: Eleven PCAs patients were recruited: five with NonP and six with SlowP. We assessed volumetric and axonal bundles alterations with a multimodal approach to investigate whether eventual spared connectivity between basal ganglia and cerebellum explains the different postural motor behavior of NonP and SlowP patients. RESULTS: Cerebellar lobules were smaller in SlowP patients. NonP patients showed a lower number of streamlines in the cerebello-thalamo-cortical tracts but a generalized higher integrity of white matter tracts connecting the cortex and the basal ganglia with the cerebellum. DISCUSSION: This work reveals that the axonal bundles connecting the cerebellum with basal ganglia and cortex demonstrate a higher integrity in NonP patients. This evidence highlights the importance of the cerebellum-basal ganglia connectivity to explain the different postural motor behavior of NonP and SlowP patients and support the possible compensatory role of basal ganglia in patients with stable cerebellar malformation

Chronic non-cancer pain in primary care: an Italian cross-sectional study

Chronic non-cancer pain is a complex health condition that affects more than a quarter of the Italian population who mainly refers to general practitioners and primary care for their treatment. There are little information on the epidemiological and clinical characteristics and types of treatments for these patients who suffer from chronic pain. The aim of the study was to provide epidemiological and clinical information about patients with chronic non-cancer pain who refers to GPs for their treatment. An observational, multicentre, cross-sectional study was carried out using retrospectively reviewed clinical records from 29 GPs. Some pharmacoeconomic aspects were also investigated. A total of 1,007 patients who had chronic pain were selected for the study. Chronic pain was more common in women than in men (ratio 2.7 : 1) (P = 0.002). With regard to incomes, the women earned less than the men (P = 0.017). The chronic pain was musculoskeletal (73.4%), mixed (21.4%), neuropathic (4.9%) and visceral (0.3%). More women than men had pain in two or more sites, and 33.5% of the patients reported more than one diagnosis that related to chronic pain. The general practitioners had prescribed nonsteroidal anti-inflammatory drugs for 71.8% of the cases, opioids for 16.9%, adjuvants for 9.0% and acetaminophen for 2.4%, and about pharmacoeconomic aspects, the total cost for the sample was €111,331.42. Primary care is the essential frontline for patients who suffer from non-cancer pain. An interdisciplinary assessment and approach should start in primary care delivery to maximize the clinical outcomes

Muscle activation during gait in children with Duchenne muscular dystrophy

The aim of this prospective study was to investigate changes in muscle activity during gait in children with Duchenne muscular Dystrophy (DMD). Dynamic surface electromyography recordings (EMGs) of 16 children with DMD and pathological gait were compared with those of 15 control children. The activity of the rectus femoris (RF), vastus lateralis (VL), medial hamstrings (HS), tibialis anterior (TA) and gastrocnemius soleus (GAS) muscles was recorded and analysed quantitatively and qualitatively. The overall muscle activity in the children with DMD was significantly different from that of the control group. Percentage activation amplitudes of RF, HS and TA were greater throughout the gait cycle in the children with DMD and the timing of GAS activity differed from the control children. Significantly greater muscle coactivation was found in the children with DMD. There were no significant differences between sides. Since the motor command is normal in DMD, the hyper-activity and co-contractions likely compensate for gait instability and muscle weakness, however may have negative consequences on the muscles and may increase the energy cost of gait. Simple rehabilitative strategies such as targeted physical therapies may improve stability and thus the pattern of muscle activity

Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA

Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer’s dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal control subjects based on sociodemographic, clinical, and magnetic resonance imaging (MRI) variables. 506 subjects from 5 databases were included. MRI images were processed with FreeSurfer, LPA, and TRACULA to obtain brain volumes and thicknesses, white matter lesions and diffusion metrics. MRI metrics were used in conjunction with clinical and demographic data to perform differential diagnosis based on a Support Vector Machine model called MUQUBIA (Multimodal Quantification of Brain whIte matter biomArkers). Age, gender, Clinical Dementia Rating (CDR) Dementia Staging Instrument, and 19 imaging features formed the best set of discriminative features. The predictive model performed with an overall Area Under the Curve of 98%, high overall precision (88%), recall (88%), and F1 scores (88%) in the test group, and good Label Ranking Average Precision score (0.95) in a subset of neuropathologically assessed patients. The results of MUQUBIA were explained by the SHapley Additive exPlanations (SHAP) method. The MUQUBIA algorithm successfully classified various dementias with good performance using cost-effective clinical and MRI information, and with independent validation, has the potential to assist physicians in their clinical diagnosis