Intensive Rehabilitation Unit Research Articles

Prevalence and Risk Factors of Deep Venous Thrombosis in Intensive Inpatient Neurorehabilitation Unit.

ABI patients were screened for DVT on admission to the intensive rehabilitation unit (IRU) with compression ultrasonography and basal D-dimer assay and were daily clinically monitored until discharge. A total of 127 consecutive ABI patients (mean age: 60.1 ± 17.6 years; 63% male; time from event: 30.9 ± 22.1 days; rehabilitation time in IRU: 84.6 ± 58.4 days) were enrolled. On admission to the IRU, the DVT prevalence was about 8.6%. The mean D-dimer level in patients with DVT was significantly higher than in patients without DVT (6 ± 0.9 vs. 1.97 ± 1.61, p-value = 0.0001). ABI patients with DVT did not show any significant clinical characteristics with respect to ABI without DVT, although a prevalence of hemorrhagic strokes and patients originating from the Intensive Care Unit and Neurosurgery ward was revealed. During the rehabilitation period, patients with DVT showed a significant difference in pharmacological DVT prophylaxis (high prevalence of nadroparin with 27.3% vs. 1.7%, p-value = 0.04) and a prevalence of transfers in critical awards (36% versus 9.5% of patients without DVT, p-value = 0.05). The mortality rate was similar in the two groups. Our research offers a more comprehensive view of the clinical development of DVT patients and confirms the prevalence rate of DVT in ABI patients as determined upon IRU admission. According to our findings, screening these individuals regularly at the time of rehabilitation admission may help identify asymptomatic DVT quickly and initiate the proper treatment to avoid potentially fatal consequences. However, to avoid time-consuming general ultrasonography observation, a more precise selection of patients entering the rehabilitation ward is required.

Electrophysiological Screening to Assess Foot Drop Syndrome in Severe Acquired Brain Injury in Rehabilitative Settings.

Foot drop syndrome (FDS), characterized by severe weakness and atrophy of the dorsiflexion muscles of the feet, is commonly found in patients with severe acquired brain injury (ABI). If the syndrome is unilateral, the cause is often a peroneal neuropathy (PN), due to compression of the nervous trunk on the neck of the fibula at the knee level; less frequently, the cause is a previous or concomitant lumbar radiculopathy. Bilateral syndromes are caused by polyneuropathies and myopathies. Central causes, due to brain or spinal injury, mimic this syndrome but are usually accompanied by other symptoms, such as spasticity. Critical illness polyneuropathy (CIP) and myopathy (CIM), isolated or in combination (critical illness polyneuromyopathy, CIPNM), have been shown to constitute an important cause of FDS in patients with ABI. Assessing the causes of FDS in the intensive rehabilitation unit (IRU) has several limitations, which include the complexity of the electrophysiological tests, limited availability of neurophysiology consultants, and the severe disturbance in consciousness and lack of cooperation from patients. We sought to propose a simplified electrophysiological screening that identifies FDS causes, particularly PN and CIPNM, to help clinicians to recognize the significant clinical predictors of poor outcomes in severe ABI at admission to IRU. This prospective, single-center study included 20 severe ABI patients with FDS (11 females/9 males, mean age 55.10 + 16.26; CRS-R= 11.90 + 6.32; LCF: 3.30 + 1.30; DRS: 21.45 + 3.33), with prolonged rehabilitation treatment (≥2 months). We applied direct tibialis anterior muscle stimulation (DMS) associated with peroneal nerve motor conduction evaluation, across the fibular head (NCS), to identify CIP and/or CIM and to exclude demyelinating or compressive unilateral PN. At admission to IRU, simplified electrophysiological screening reported four unilateral PN, four CIP and six CIM with a CIPNM overall prevalence estimate of about 50%. After 2 months, the CIPNM group showed significantly poorer outcomes compared to other ABI patients without CIPNM, as demonstrated by the lower probability of achieving endotracheal-tube weaning (20% versus 90%) and lower CRS-R and DRS scores. Due to the subacute rehabilitation setting of our study, it was not possible to evaluate the motor results of recovery of the standing position, functional walking and balance, impaired by the presence of unilateral PN. The implementation of the proposed simplified electrophysiological screening may enable the early identification of unilateral PN or CIPNM in severe ABI patients, thereby contributing to better functional prognosis in rehabilitative settings.

Brain microstate spatio-temporal dynamics as a candidate endotype of consciousness

Consciousness can be defined as a phenomenological experience continuously evolving. Current research showed how conscious mental activity can be subdivided into a series of atomic brain states converging to a discrete spatiotemporal pattern of global neuronal firing. Using the high temporal resolution of EEG recordings in patients with a severe Acquired Brain Injury (sABI) admitted to an Intensive Rehabilitation Unit (IRU), we detected a novel endotype of consciousness from the spatiotemporal brain dynamics identified via microstate analysis. Also, we investigated whether microstate features were associated with common neurophysiological alterations. Finally, the prognostic information comprised in such descriptors was analysed in a sub-cohort of patients with prolonged Disorder of Consciousness (pDoC). Occurrence of frontally-oriented microstates (C microstate), likelihood of maintaining such brain state or transitioning to the C topography and complexity were found to be indicators of consciousness presence and levels. Features of left–right asymmetric microstates and transitions toward them were found to be negatively correlated with antero-posterior brain reorganization and EEG symmetry. Substantial differences in microstates’ sequence complexity and presence of C topography were found between groups of patients with alpha dominant background, cortical reactivity and antero-posterior gradient. Also, transitioning from left-right to antero-posterior microstates was found to be an independent predictor of consciousness recovery, stronger than consciousness levels at IRU’s admission. In conclusions, global brain dynamics measured with scale-free estimators can be considered an indicator of consciousness presence and a candidate marker of short-term recovery in patients with a pDoC.

Relationship between Nutritional Risk, Clinical and Demographic Characteristics, and Pressure Ulcers in Patients with Severe Acquired Brain Injuries Attending a Rehabilitative Program.

Preliminary evidence in the literature suggests a high prevalence of malnutrition (undernutrition) in patients with severe acquired brain injuries (sABI), with an expected negative impact on clinical outcomes and pressure ulcers (PUs) in particular. In a retrospective cohort study on patients discharged from intensive care units (ICU) and admitted to an intensive rehabilitation unit (IRU), the risk of malnutrition was systematically assessed, in addition to standard clinical procedures (including PUs evaluation), using two different tools: the Malnutrition Universal Screening Tool (MUST) and the Controlling Nutritional Status (CONUT) tool. Eighty-eight patients were included in the analysis. A high proportion (79.5%) of patients with sABI suffered from PUs, being older and more frequently men, with a longer ICU stay between the event and admission to IRU, and a greater MUST score. At discharge, when compared to patients whose PUs had healed, those with persisting PUs were more often men and had the worst cognitive performance at admission. As for nutritional risk, the baseline CONUT score was identified as an independent negative predictor of PUs at discharge by the logistic regression model. In conclusion, the assessment of nutritional risk using simple standard tools may be useful in the clinical evaluation of sABI patients with PUs.

Healthcare worker burnout during the first COVID-19 lockdown in Italy: experiences from an intensive neurological rehabilitation unit.

The study aim was to investigate the prevalence of behavioral symptoms and burnout in healthcare workers in an intensive neurological rehabilitation unit in Messina, Italy, during the first COVID-19 lockdown in Italy. Forty-seven healthcare workers (including neurologists, physiatrists, nurses and rehabilitation therapists) were enrolled in this cross-sectional study from February 2020 to June 2020. Participants were administered the following psychometric tests to investigate burnout and related symptoms: the Maslach Burnout Inventory, which measures emotional exhaustion, depersonalization and reduced personal accomplishment; the Zung Self-Rating Depression Scale (SDS); the Pre-Sleep Arousal Scale (PSAS); the Dyadic Adjustment Scale; and the Buss-Perry Aggression Questionnaire (BPAQ). We found several correlations between test scores and burnout subdimensions. Emotional exhaustion was correlated with SDS (r = 0.67), PSAS-Cognitive (r = 0.67) and PSAS-Somatic (r = 0.70) scores, and moderately correlated with all BPAQ dimensions (r = 0.42). Depersonalization was moderately correlated with SDS (r = 0.54), PSAS-Cognitive (r = 0.53) and PSAS-Somatic (r = 0.50) scores. During the first COVID-19 lockdown in Italy, healthcare workers were more exposed to physical and mental exhaustion and burnout. Research evaluating organizational and system-level interventions to promote psychological well-being at work for healthcare workers are needed.

Long-term clinical evolution of patients with prolonged disorders of consciousness due to severe anoxic brain injury: a meta-analytic study.

The prognosis of prolonged (28 days to 3 months post-onset) Disorders of Consciousness (pDoC) due to anoxic brain injury is uncertain. The present study aimed to evaluate long-term outcome of post-anoxic pDoC and identify the possible predictive value of demographic and clinical information. Systematic review and meta-analysis. We evaluated the rates of mortality, any improvement in clinical diagnosis, and recovery of full consciousness at least 6 months after severe anoxic brain injury. A cross-sectional approach searched for differences in baseline demographic and clinical characteristics between survivors and non-survivors, patients improved vs. not-improved, and patients who recovered full consciousness vs. not-recovered. We identified 27 studies. The pooled rates of mortality, any clinical improvement, and recovery of full consciousness were 26%, 26%, and 17%, respectively. Younger age, baseline diagnosis of minimally conscious state vs. vegetative state/unresponsive wakefulness syndrome, higher Coma Recovery Scale-Revised total score, and earlier admission to intensive rehabilitation units were associated with a significantly higher likelihood of survival and clinical improvement. These same variables, except time of admission to rehabilitation, were also associated with recovery of full consciousness. Patients with anoxic pDoC might improve over time up to full recovery of consciousness and some clinical characteristics can help predict clinical improvement. These new insights could support clinicians and caregivers in the decision-making on patient management.

Cognitive reserve index and long-term disability in patients with severe traumatic brain injury discharged from the intensive rehabilitation unit.

The "cognitive reserve" (CR) theory posits that higher premorbid cognitive activities can mitigate the effects of brain damage. This study aimed to investigate the association between CR and long-term functional autonomy in patients surviving a severe traumatic brain injury (sTBI). Data were collected from the database of inpatients with severe acquired brain injury in a rehabilitation unit admitted from August 2012 to May 2020. Patients that had incurred an sTBI, aged 18+ years, completing the phone Glasgow Outcome Scale-Expanded at follow-up (pGOS-E) in absence of previous brain trauma or neurological disease, or cognitive disorders were included. Patients with severe brain injury from non-traumatic etiologies were not included in the study. In this longitudinal study, all patients underwent a multidimensional assessment including the cognitive reserve index questionnaire (CRIq), the coma recovery scale-revised, the level of cognitive functioning, the Disability Rating Scale (DRS), and the Galveston Orientation and Amnesia Test at admission. At discharge, functional scales were administered again together with the Glasgow Outcome Scale. The pGOS-E was assessed at follow-up. pGOS-E. A total of 106 patients/caregivers underwent the pGOS-E after 5.8 [3.6] years from the event. Among them, 46 (43.4%) died after discharge, and 60 patients [men: 48 (80%); median age: 54 years; median time post-onset: 37 days; median education level: 10 years; median CRIq total score: 91] were included in the analysis exploring the association between pGOS-E and demographic data, cognitive reserve surrogates, and clinical variables at admission and discharge from the rehabilitation unit. A younger age (B = -0.035, p = 0.004) and a lower DRS category at discharge (B = -0.392, p = 0.029) were significantly related to a higher long-term functional autonomy in the multivariate analysis. Long-term functional autonomy was not influenced by CR as assessed through the educational level and the CRIq.

The impact of cognitive function deficits and their recovery on functional outcome in subjects affected by ischemic subacute stroke: results from the Italian multicenter longitudinal study CogniReMo.

The recovery of independence in activities of daily living is a fundamental goal of rehabilitation programs in subjects affected by subacute stroke. Rehabilitation is focused both on motor and cognitive aspects, and some evidence has reported cognitive deficits as prognostic factors of motor recovery. However, rehabilitation is a dynamic process during which executive functions and motor functions should be improved. The aim of the study is to evaluate the relationships between impairments in cognitive functions and recovery of functional independence in stroke patients during the subacute phase. Multicenter observational study. Intensive rehabilitation units. A sample of 319 stroke patients in subacute phase (70.6±11.6 years, 40.4% females), consecutively admitted from November 2019 to July 2021 at sixteen rehabilitation centers were enrolled in this observational, prospective and multicentric study with longitudinal assessments. Cognitive and functional assessments were performed at hospital admission and discharge, including Oxford Cognitive Screen, modified Barthel Index, Functional Independent Measure, Fugl-Meyer assessment scale and National Institutes of Health Stroke Scale. A regression analysis identified five predictors (out of about 200 tested variables) of functional recovery related to four aspects assessed at admission: functional status (P<0.001), lower limb functioning (P=0.002), attention (P=0.011), and executive functions (P=0.017). Furthermore, patients who recovered deficits in executive functions had the same recovery of those without deficits, whereas those who maintained deficits had a smaller recovery (P=0.019). The relationship between cognitive and motor deficits is increasingly highlighted and the recovery of executive functions deficits seems to contribute to motor recovery. Our results suggest that the recovery of executive functions may promote the recovery of the functional outcome of the patient with subacute stroke. Future treatment protocols may benefit from paying more attention to the recovery of executive functions.

Cognitive Profile in Patients Admitted to Intensive Rehabilitation after Stroke Is Associated with the Recovery of Dysphagia: Preliminary Results from the RIPS (Intensive Post-Stroke Rehabilitation) Study

Dysphagia represents one of the most frequent symptoms in the post-acute stroke population. Swallowing impairment and cognitive deficits can often co-occur. This study aims to investigate the relationship between cognitive impairment and the recovery of dysphagia in patients attending specific rehabilitation. Patients admitted to intensive rehabilitation units were administered the Functional Oral Intake Scale (FOIS) and Montreal Cognitive Screening Test (MoCA); when screening positive for dysphagia, they entered a rehabilitation program. Their FOIS score at discharge was the primary outcome measure. In the multivariate analysis, younger age (B = - 0.077, p = 0.017), higher MoCA (B = 0.191, p = 0.002), and higher FOIS (B = 1.251, p = 0.032) at admission were associated with higher FOIS at discharge. When executive function (EF) replaced the MoCA total score in the model, younger age (B = - 0.134, p = 0.001), higher admission EF (B = 1.451, p < 0.001), and FOIS (B = 1.348, p = 0.035) were associated with higher FOIS at discharge. Our results confirm the hypothesis that a better cognitive profile upon admission is associated with a higher probability of dysphagia recovery at discharge. EF seems to have a crucial role in dysphagia recovery. These results highlight the importance of considering the cognitive profile when assessing and treating dysphagia after stroke and of using screening tests that include executive functions.

Design and implementation of a Stroke Rehabilitation Registry for the systematic assessment of processes and outcomes and the development of data-driven prediction models: The STRATEGY study protocol.

BackgroundStroke represents the second preventable cause of death after cardiovascular disease and the third global cause of disability. In countries where national registries of the clinical quality of stroke care have been established, the publication and sharing of the collected data have led to an improvement in the quality of care and survival of patients. However, information on rehabilitation processes and outcomes is often lacking, and predictors of functional outcomes remain poorly explored. This paper describes a multicenter study protocol to implement a Stroke rehabilitation Registry, mainly based on a multidimensional assessment proposed by the Italian Society of Physical and Rehabilitation Medicine (PMIC2020), in a pilot Italian cohort of stroke survivors undergoing post-acute inpatient rehabilitation, to provide a systematic assessment of processes and outcomes and develop data-driven prediction models of functional outcomes.MethodsAll patients with a diagnosis of ischemic or haemorrhagic stroke confirmed by clinical assessment, admitted to intensive rehabilitation units within 30 days from the acute event, aged 18+, and providing informed consent will be enrolled. Measures will be taken at admission (T0), at discharge (T1), and at follow-up, 3 months (T2) and 6 months (T3) after the stroke. Assessment variables include anamnestic data, clinical and nursing complexity information and measures of body structures and function, activity and participation (PMIC2020), rehabilitation interventions, adverse events and discharge data. The modified Barthel Index will be our primary outcome. In addition to classical biostatistical analysis, learning algorithms will be cross-validated to achieve data-driven prognosis prediction models.ConclusionsThis study will test the feasibility of a stroke rehabilitation registry in the Italian health context and provide a systematic assessment of processes and outcomes for quality assessment and benchmarking. By the development of data-driven prediction models in stroke rehabilitation, this study will pave the way for the development of decision support tools for patient-oriented therapy planning and rehabilitation outcomes maximization.Clinical tial registrationThe registration on ClinicalTrials.gov is ongoing and under review. The identification number will be provided when the review process will be completed.

Conventional and Investigational Approaches Leveraging Clinical EEG for Prognosis in Acute Disorders of Consciousness.

Prediction of recovery of consciousness after severe brain injury is difficult and limited by a lack of reliable, standardized biomarkers. Multiple approaches for analysis of clinical electroencephalography (EEG) that shed light on prognosis in acute severe brain injury have emerged in recent years. These approaches fall into two major categories: conventional characterization of EEG background and quantitative measurement of resting state or stimulus-induced EEG activity. Additionally, a small number of studies have associated the presence of electrophysiologic sleep features with prognosis in the acute phase of severe brain injury. In this review, we focus on approaches for the analysis of clinical EEG that have prognostic significance and that could be readily implemented with minimal additional equipment in clinical settings, such as intensive care and intensive rehabilitation units, for patients with acute disorders of consciousness.

Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational Study.

BackgroundDue to continuous advances in intensive care technology and neurosurgical procedures, the number of survivors from severe acquired brain injuries (sABIs) has increased considerably, raising several delicate ethical issues. The heterogeneity and complex nature of the neurological damage of sABIs make the detection of predictive factors of a better outcome very challenging. Identifying the profile of those patients with better prospects of recovery will facilitate clinical and family choices and allow to personalize rehabilitation. This paper describes a multicenter prospective study protocol, to investigate outcomes and baseline predictors or biomarkers of functional recovery, on a large Italian cohort of sABI survivors undergoing postacute rehabilitation.MethodsAll patients with a diagnosis of sABI admitted to four intensive rehabilitation units (IRUs) within 4 months from the acute event, aged above 18, and providing informed consent, will be enrolled. No additional exclusion criteria will be considered. Measures will be taken at admission (T0), at three (T1) and 6 months (T2) from T0, and follow-up at 12 and 24 months from onset, including clinical and functional data, neurophysiological results, and analysis of neurogenetic biomarkers.StatisticsAdvanced machine learning algorithms will be cross validated to achieve data-driven prediction models. To assess the clinical applicability of the solutions obtained, the prediction of recovery milestones will be compared to the evaluation of a multiprofessional, interdisciplinary rehabilitation team, performed within 2 weeks from admission.DiscussionIdentifying the profiles of patients with a favorable prognosis would allow customization of rehabilitation strategies, to provide accurate information to the caregivers and, possibly, to optimize rehabilitation outcomes.ConclusionsThe application and validation of machine learning algorithms on a comprehensive pool of clinical, genetic, and neurophysiological data can pave the way toward the implementation of tools in support of the clinical prognosis for the rehabilitation pathways of patients after sABI.

Critical Illness Polyneuropathy and Myopathy and Clinical Detection of the Recovery of Consciousness in Severe Acquired Brain Injury Patients with Disorders of Consciousness after Rehabilitation.

Background: Disorders of consciousness (DoCs) include unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS). Critical illness polyneuropathy and myopathy (CIPNM) is frequent in severe acquired brain injuries and impacts functional outcomes at discharge from the intensive rehabilitation unit (IRU). We investigated the prevalence of CIPNM in DoCs and its relationship with the consciousness assessment. Methods: Patients with DoCs were retrospectively selected from the database including patients admitted to the IRU of the IRCCS Don Gnocchi Foundation, Florence, from August 2012 to May 2020. Electroneurography/electromyography was performed at admission. Consciousness was assessed using the Coma Recovery Scale-Revised (CRS-R) at admission and discharge. Patients transitioning from a lower consciousness state to a higher one were classified as improved responsiveness (IR). Results: A total of 177 patients were included (UWS: 81 (45.8%); MCS: 96 (54.2%); 78 (44.1%) women; 67 years (IQR: 20). At admission, 108 (61.0%) patients had CIPNM. At discharge, 117 (66.1%) patients presented an IR. In the multivariate analysis, CRS-R at admission (p = 0.006; OR: 1.462) and CIPNM (p = 0.039; OR: −1.252) remained significantly associated with IR only for the UWS patients. Conclusions: CIPNM is frequent in DoCs and needs to be considered during the clinical consciousness assessment, especially in patients with UWS.

A service evaluation of a specialist intensive multi-disciplinary inpatient neurological rehabilitation unit: Hobbs Rehabilitation at Bramshott Grange

A service evaluation of a specialist intensive multi-disciplinary inpatient neurological rehabilitation unit: Hobbs Rehabilitation at Bramshott Grange

Stroke Telerehabilitation in Calabria: A Health Technology Assessment.

Introduction: Telerehabilitation (TR) is defined as a model of home service for motor and cognitive rehabilitation, ensuring continuity of care over time. TR can replace the traditional face-to-face approach as an alternative method of delivering conventional rehabilitation and applies to situations where the patient is unable to reach rehabilitation facilities or for low-income countries where outcomes are particularly poor. For this reason, in this study, we sought to demonstrate the feasibility and utility of a well-known TR intervention on post-stroke patients living in one of the poorest indebted regions of Italy, where the delivery of rehabilitation services is inconsistent and not uniform.Materials and Methods: Nineteen patients (13 male/6 female; mean age: 61.1 ± 8.3 years) with a diagnosis of first-ever ischemic (n = 14) or hemorrhagic stroke (n = 5), who had been admitted to the intensive rehabilitation unit (IRU) of the Institute S. Anna (Crotone, Italy), were consecutively enrolled to participate in this study. After the discharge, they continued the motor treatment remotely by means of a home-rehabilitation system. The entire TR intervention was performed (online and offline) using the Virtual Reality Rehabilitation System (VRRS) (Khymeia, Italy). All patients received intensive TR five times a week for 12 consecutive weeks (60 sessions, each session lasting about 1h).Results: We found a significant motor recovery after TR protocol as measured by the Barthel Index (BI); Fugl-Meyer motor score (FM) and Motricity Index (MI) of the hemiplegic upper limbs.Conclusions: This was the first demonstration that a well-defined virtual reality TR tool promotes motor and functional recovery in post-stroke patients living in a low-income Italian region, such as Calabria, characterized by a paucity of specialist rehabilitation services.

Merging Clinical and EEG Biomarkers in an Elastic-Net Regression for Disorder of Consciousness Prognosis Prediction.

Patients with Disorder of Consciousness (DoC) entering Intensive Rehabilitation Units after a severe Acquired Brain Injury have a highly variable evolution of the state of consciousness which is a complex aspect to predict. Besides clinical factors, electroencephalography has clearly shown its potential into the identification of prognostic biomarkers of consciousness recovery. In this retrospective study, with a dataset of 271 patients with DoC, we proposed three different Elastic-Net regressors trained on different datasets to predict the Coma Recovery Scale-Revised value at discharge based on data collected at admission. One dataset was completely EEG-based, one solely clinical data-based and the last was composed by the union of the two. Each model was optimized, validated and tested with a robust nested cross-validation pipeline. The best models resulted in a median absolute test error of 4.54 [IQR = 4.56], 3.39 [IQR = 4.36], 3.16 [IQR = 4.13] for respectively the EEG, clinical and hybrid model. Furthermore, the hybrid model for what concerns overcoming an unresponsive wakefulness state and exiting a DoC results in an AUC of 0.91 and 0.88 respectively. Small but useful improvements are added by the EEG dataset to the clinical model for what concerns overcoming an unresponsive wakefulness state. Data-driven techniques and namely, machine learning models are hereby shown to be capable of supporting the complex decision-making process the practitioners must face.

Effects of COVID-19 pandemic on intensive rehabilitation after severe acquired brain injuries.

PurposeCOVID-19 pandemic has affected most components of health systems including rehabilitation. The study aims to compare demographic and clinical data of patients admitted to an intensive rehabilitation unit (IRU) after severe acquired brain injuries (sABIs), before and during the pandemic.Materials and methodsIn this observational retrospective study, all patients admitted to the IRU between 2017 and 2020 were included. Demographics were collected, as well as data from the clinical and functional assessment at admission and discharge from the IRU. Patients were grouped in years starting from March 2017, and the 2020/21 cohort was compared to those admitted between March 2017/18, 2018/19, and 2019/20. Lastly, the pooled cohort March 2017 to March 2020 was compared with the COVID-19 year alone.ResultsThis study included 251 patients (F: 96 (38%): median age 68 years [IQR = 19.25], median time post-onset at admission: 42 days, [IQR = 23]). In comparison with the pre-pandemic years, a significant increase of hemorrhagic strokes (p < 0.001) and a decrease of traumatic brain injuries (p = 0.048), a reduction of the number of patients with a prolonged disorder of consciousness admitted to the IRU (p < 0.001) and a lower length of stay (p < 0.001) were observed in 2020/21.ConclusionsThese differences in the case mix of sABI patients admitted to IRU may be considered another side-effect of the pandemic. Facing this health emergency, rehabilitation specialists need to adapt readily to the changing clinical and functional needs of patients’ addressing the IRUs.

Chinese expert consensus on subacute intensive rehabilitation management of neurocritically ill children (2021)

In recent years, rehabilitation for children with critical illness as a new subspecialty combining pediatrics and rehabilitation medicine has launched in China. Most of the neurocritically ill children have serious dysfunctions and complications. They need not only early rehabilitation initiated in the pediatric intensive care unit, but also standard intensive rehabilitation management continued in the pediatric subacute intensive rehabilitation unit during the subacute period. Due to the bigger challenge, risks underlying in work and higher requirements on rehabilitation team in the pediatric subacute intensive rehabilitation unit, there are a limited number of pediatric subacute intensive rehabilitation units and professional rehabilitation teams in China. The lack of this important link of continuous chain of rehabilitation is not only to the disadvantage of patients' standardized rehabilitation management, but also cause a waste of health care resources of the pediatric intensive care unit and greatly increased the economic burden of families and society at the same time. Therefore, the Rehabilitation Group of Pediatrics Branch of Chinese Medical Association and the Physical Therapy Committee of Chinese Association of Rehabilitation Medicine, jointly set up an expert group to discuss and propose Chinese expert consensus on subacute intensive rehabilitation management of neurocritically ill children (2021), aiming to provide basic working ideas and standard reference for medical institutions that have established subacute intensive rehabilitation units.

Impact of COVID-19 on the mental health in a cohort of Italian rehabilitation healthcare workers.

The COVID‐19 pandemic has had a strong impact on healthcare workers (HCWs), affecting their physical and mental health. In Italy, HCWs have been among the first exposed to unprecedented pressure, dealing with large numbers of infections during the first pandemic wave. However, the severe psychological consequences on HCWs find little evidence in the literature, especially in terms of comparison to the status quo ante pandemic. The aim of this study was to provide an assessment of the mental health burden in a cohort of Italian HCWs during the COVID‐19 pandemic, comparing their condition with that before the emergency, to direct the promotion of mental well‐being among HCWs worldwide. In this retrospective study, we included physicians, physical therapists, and nurses working in the Respiratory Intensive Care Unit, Neurology Unit, and Rehabilitation Unit from a Southern Italy University Hospital. All study participants underwent a battery of psychological tests, aimed at verifying their state of mental health during the COVID‐19 emergency and before it. Depressive, anxiety, and burnout symptoms were assessed using the following questionnaires: Maslach Burnout Inventory, Patient Health Questionnaire‐9 (PHQ‐9), and General Anxiety Disorder‐7. Depressive, anxiety, and burnout clinical relevance symptoms were present in HCWs during the COVID‐19 pandemic more than those before the emergency. Fifty percent of the HCWs obtained a score clinically significant during the emergency. Moreover, a depersonalization factor showed a statistically significant increase in average scores (p < 0.0001). The PHQ‐9 scale showed that 47.1% of the operators reported depressive state presence. The number of operators scoring above the cut‐off for the anxiety scale tripled during the emergency (p < 0.0001). The female gender conferred greater risks for depression. Taken together, the findings of this study showed that our sample of Italian HCWs showed a greater risk for depression, anxiety, and stress during the COVID‐19 pandemic. These data might be a starting point to plan mental health monitoring and prevention programs for HCWs, thus ensuring patients receive the best possible care performances even during healthcare crises such as the current pandemic.

Data-driven prediction of decannulation probability and timing in patients with severe acquired brain injury

Background and objectivesFrom a rehabilitation perspective, removal of tracheostomy in patients with severe acquired brain injuries (sABI) is a crucial step. Predictive parameters for a successful decannulation are currently still a focus of the research for sABI patients, especially for those presenting a disorder of consciousness. For this reason, we adopted a data-driven approach predicting decannulation probability and timing using ensemble learning models in patients in intensive rehabilitation units. Methods327 patients, 186 of which were successfully decannulated during their intensive rehabilitative stay, were recruited in a non-concurrent retrospective study. Decannulation probability and timing were predicted using data available within one week from admission at the rehabilitation unit. Two predictive models were trained and cross-validated independently, with the first being an ensemble of a Support Vector Machine and Random Forests and the second an Adaptive Boosting with a Support Vector Regression as weak learner. Confusion matrix, accuracy and AUC were considered as evaluation metrics for the classifier and median absolute error was considered for the regressor. To quantify the advantages in the clinical practice of using the latter prediction, we compared timing estimation with a timing guess (median) calculated on available data. The comparison was based on a Wilcoxon signed rank test. ResultsDecannulation probability was successfully predicted with an accuracy of 84.8% (AUC = 0.85) and timing with a median absolute error of 25.7 days [IQR = 25.6]. This resulted in a significant improvement with respect to the weaning time guess (p<0.05) with an effect size of 71.7%. Furthermore, dichotomizing the regression prediction with a threshold (3 months from the event), resulted in a prediction accuracy of 77.5% (AUC = 0.82) on the test set. DiscussionsA model capable of providing a prediction on decannulation probability and timing was developed and cross-validated, built on data taken at admission to the intensive rehabilitation unit. Translated in clinical practice, this information can support the clinical decision process and provide a mean to improve both in-hospital and domiciliary care organization.