Systemic Oxidative Stress in Subacute Stroke Patients Undergoing Rehabilitation Treatment.

The imbalance in oxidative stress in acute stroke has been extensively studied; on the contrary, its investigation in the subacute phase is limited. The aim of this study was to analyse the variation in the systemic oxidative status in subacute post-stroke patients before (T0) and after a six-week rehabilitation treatment (T1) and to investigate the relationship between systemic oxidative status and rehabilitation outcomes. We enrolled 109 subjects in two different centres, and we analysed their serum hydroperoxide levels (d-ROMs), biological antioxidant power (BAP), thiol antioxidant components (-SHp), and relative antioxidant capacity (OSI and SH-OSI indices). Activity of Daily Living (ADL), hand grip strength, and walking endurance were evaluated using the modified Barthel Index, the Hand Grip test, and the 6-min walk test, respectively. At T0, most of the patients showed very high levels of d-ROMs and suboptimal levels of the BAP, OSI, and SH-OSI indices. Comparing the T1 and T0 data, we observed an improvement in the rehabilitation outcomes and a significant decrease in d-ROMs (549 ± 126 vs. 523 ± 148, p = 0.023), as well as an improvement in the OSI and SH-OSI indices (4.3 ± 1.3 vs. 4.7 ± 1.5, p = 0.001; 11.0 ± 0.4 vs. 1.2 ± 0.4, p < 0.001). In addition, significant correlations were seen between the oxidative stress parameters and the rehabilitation outcomes. These results suggest monitoring the systemic oxidative stress status in post-stroke patients in order to plan a tailored intervention, considering its relationship with functional recovery.

Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted Rehabilitation.

The state of the art is still lacking an extensive analysis of which clinical characteristics are leading to better outcomes after robot-assisted rehabilitation on post-stroke patients. Prognostic machine learning-based models could promote the identification of predictive factors and be exploited as Clinical Decision Support Systems (CDSS). For this reason, the aim of this work was to set the first steps toward the development of a CDSS, by the development of machine learning models for the functional outcome prediction of post-stroke patients after upper-limb robotic rehabilitation. Four different regression algorithms were trained and cross-validated using a nested 5×10-fold cross-validation. The performances of each model on the test set were provided through the Median Average Error (MAE) and interquartile range. Additionally, interpretability analyses were performed, to evaluate the contribution of the features to the prediction. The results on the two best performing models showed a MAE of 13.6 [13.4] and 13.3 [14.8] on the Modified Barthel Index score (MBI). The interpretability analyses highlighted the Fugl-Meyer Assessment, MBI, and age as the most relevant features for the prediction of the outcome. This work showed promising results in terms of outcome prognosis after robot-assisted treatment. Further research should be planned for the development, validation and translation into clinical practice of CDSS in rehabilitation. Clinical relevance- This work establishes the premises for the development of data-driven tools able to support the clinical decision for the selection and optimisation of the robotic rehabilitation treatment.

Effects of Social Distancing on Quality of Life and Emotional-Affective Sphere of Caregivers and Older Patients Hospitalized in Rehabilitation Departments during COVID-19 Quarantine: An Observational Study.

During the COVID-19 emergency, institutional social distancing conditions were established, preventing family and caregivers' access to rehabilitation departments. Our study goal was to assess inpatients' and caregivers' anxiety, depression, and Quality of Life (QoL) during the Italian lockdown due to the pandemic. We investigated anxiety, depression, and QoL in 53 patients and 51 caregivers, using the Beck Anxiety Inventory (BAI), the Beck Depression Inventory-II (BDI-II), and the Short Form 36 Health Survey (SF36). These questionnaires were given to patients after one (T0) and two months (T1) since the hospitalization. The BAI showed that anxiety was moderate for 7.5% of patients and 23.5% of caregivers, and severe for 35.8% of patients and 17.6% of caregivers. The BDI found moderate depression in 11.3% of patients and 15.7% of caregivers, and severe depression in 34.0% of patients and 9.8% of caregivers. Depression was higher in patients than caregivers, while no differences were detected in anxiety. Compared to normative data, patients' QoL declined in all eight SF36 dimensions, while caregivers' QoL declined only in social, emotional, and mental components. Unexpectedly, patients still hospitalized at T1 showed significant improvements in both anxiety and three QoL subscores. These findings emphasize the importance of psychological support for patients and their families.

Back Pain in Adolescents: Characteristics, Quality of Life, and Drug Self-Management: A Cross-Sectional Study of 1301 Italian Students.

OBJECTIVES: Back pain is one of the major problems for the public health system in the western world. The purposes of this study were to assess back pain in a large cohort of adolescents; to evaluate the prevalence, intensity, and features; and obtain information about drug management of this symptom. METHODS: One thousand four hundred seventy-one healthy students aged 14 to 19 years were enrolled in the study. The subjects underwent a face-to-face interview using an ad hoc questionnaire, the Numeric Rating Scale, the Neuropathic Pain Symptom Inventory, and the Short-Form 36 questionnaire. RESULTS: Sixty-eight percent of adolescents reported moderate to severe pain, with a higher prevalence of moderate/severe pain in female. The intensity of pain was higher (P < 0.001) in females than in men. A correlation was found between pain and quality of life. Considering the adolescents with severe pain, 21.6% requested a doctor's opinion, and 18% used analgesics (63.2% of them without a doctor's prescription), with a frequency of about 2 times per month. CONCLUSIONS: We found that the prevalence of back pain in adolescents is very high, with the consequences on quality of life, and it becomes frequently a self-managed symptom. This should encourage research on the causes of pain in order to limit the risk factors underlying the pain development and obtain a good prevention strategy.

Age is negatively associated with upper limb recovery after conventional but not robotic rehabilitation in patients with stroke: a secondary analysis of a randomized-controlled trial.

BACKGROUND: There is consistent evidence that robotic rehabilitation is at least as effective as conventional physiotherapy for upper extremity (UE) recovery after stroke, suggesting to focus research on which subgroups of patients may better respond to either intervention. In this study, we evaluated which baseline variables are associated with the response after the two approaches. METHODS: This is a secondary analysis of a randomized-controlled trial comparing robotic and conventional treatment for the UE. After the assigned intervention, changes of the Fugl-Meyer Assessment UE score by ≥ 5 points classified patients as responders to treatment. Variables associated with the response were identified in a univariate analysis. Then, variables independently associated with recovery were investigated, in the whole group, and the two groups separately. RESULTS: A sample of 190 patients was evaluated after the treatment; 121 were responders. Age, baseline impairment, and neglect were significantly associated with worse response to the treatment. Age was the only independently associated variable (OR 0.967, p = 0.023). Considering separately the two interventions, age remained negatively associated with recovery (OR 0.948, p = 0.013) in the conventional group, while none of the variables previously identified were significantly associated with the response to treatment in the robotic group. CONCLUSIONS: We found that, in our sample, age is significantly associated with the outcome after conventional but not robotic UE rehabilitation. Possible explanations may include an enhanced positive attitude of the older patients towards technological training and reduced age-associated fatigue provided by robotic-assisted exercise. The possibly higher challenge proposed by robotic training, unbiased by the negative stereotypes concerning very old patients' expectations and chances to recover, may also explain our findings. TRIAL REGISTRATION NUMBER: NCT02879279.

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.

BACKGROUND: The majority of stroke survivors experiences significant hand impairments, as weakness and spasticity, with a severe impact on the activity of daily living. To objectively evaluate hand deficits, quantitative measures are needed. The aim of this study is to assess the reliability, the validity and the discriminant ability of the instrumental measures provided by a robotic device for hand rehabilitation, in a sample of patients with subacute stroke. MATERIAL AND METHODS: In this study, 120 patients with stroke and 40 controls were enrolled. Clinical evaluation included finger flexion and extension strength (using the Medical Research Council, MRC), finger spasticity (using the Modified Ashworth Scale, MAS) and motor control and dexterity during ADL performance (by means of the Frenchay Arm Test, FAT). Robotic evaluations included finger flexion and extension strength, muscle tone at rest, and instrumented MAS and Modified Tardieu Scale. Subjects were evaluated twice, one day apart, to assess the test-retest reliability of the robotic measures, using the Intraclass Correlation Coefficient (ICC). To estimate the response stability, the standard errors of measurement and the minimum detectable change (MDC) were also calculated. Validity was assessed by analyzing the correlations between the robotic metrics and the clinical scales, using the Spearman's Correlation Coefficient (r). Finally, we investigated the ability of the robotic measures to distinguish between patients with stroke and healthy subjects, by means of Mann-Whitney U tests. RESULTS: All the investigated measures were able to discriminate patients with stroke from healthy subjects (p < 0.001). Test-retest reliability was found to be excellent for finger strength (in both flexion and extension) and muscle tone, with ICCs higher than 0.9. MDCs were equal to 10.6 N for finger flexion, 3.4 N for finger extension, and 14.3 N for muscle tone. Conversely, test-retest reliability of the spasticity measures was poor. Finally, finger strength (in both flexion and extension) was correlated with the clinical scales (r of about 0.7 with MRC, and about 0.5 with FAT). DISCUSSION: Finger strength (in both flexion and extension) and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures. Moreover, finger strength is strongly correlated with clinical scales. Changes higher than the obtained MDC in these robotic measures could be considered as clinically relevant and used to assess the effect of a rehabilitation treatment in patients with subacute stroke.

Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devices to objectively quantify motor performance of patients after brain damage. Although these robot-derived measures can potentially add meaningful information about the patient's dexterity, as well as be used as outcome measurements after the rehabilitation treatment, they need to be validated before being used in clinical practice. The present work aims to evaluate the reliability, the validity and the discriminant ability of the metrics provided by a novel robotic device for upper limb rehabilitation. METHODS: Forty-eight patients with sub-acute stroke and 40 age-matched healthy subjects were involved in this study. Clinical evaluation included: Fugl-Meyer Assessment for the upper limb, Action Research Arm Test, and Barthel Index. Robotic evaluation of the upper limb performance consisted of 14 measures of motor ability quantifying the dexterity in performing planar reaching movements. Patients were evaluated twice, one day apart, to assess the reliability of the robotic metrics, using the Intraclass Correlation Coefficient. Validity was assessed by analyzing the correlation of the robotic metrics with the clinical scales, by means of the Spearman's Correlation Coefficient. Finally, the ability of the robotic metrics to distinguish between patients with stroke and healthy subjects was investigated with t-tests and the Effect Size. RESULTS: Reliability was found to be excellent for 12 measures and from moderate to good for the remaining 2. Most of the robotic indices were strongly correlated with the clinical scales, while a few showed a moderate correlation and only one was not correlated with the Barthel Index and weakly correlated with the remain two. Finally, all but one the provided metrics were able to discriminate between the two groups, with large effect sizes for most of them. CONCLUSION: We found that all the robotic indices except one provided by a novel robotic device for upper limb rehabilitation are reliable, sensitive and strongly correlated both with motor and disability clinical scales. Therefore, this device is suitable as evaluation tool for the upper limb motor performance of patients with sub-acute stroke in clinical practice. TRIAL REGISTRATION: NCT02879279 .

The relationship between back pain and schoolbag use: a cross-sectional study of 5,318 Italian students.

BACKGROUND CONTEXT: Back pain at a young age is considered to be predictive of chronicity. Several studies have investigated the relationship between the use of a schoolbag and back pain, although some aspects are still unclear. PURPOSE: The aim of this study was to evaluate back pain due to schoolbag use in terms of (1) prevalence and intensity, (2) differences between male and female pupils, and (3) predisposing factors. STUDY DESIGN: This is a cross-sectional study. PATIENT SAMPLE: The sample was composed of 5,318 healthy pupils aged 6 to 19 years (classified according to three age groups: children, younger adolescents, and older adolescents). OUTCOME MEASURES: Schoolbag-related pain was assessed by means of an ad hoc questionnaire. The intensity of pain was assessed using the Wong scale. METHODS: Subjects underwent a face-to-face interview using an ad hoc questionnaire. The intensity of pain was assessed using the Wong scale. On the basis of the prevalence and intensity of back pain, we divided our population into two groups: (1) no or mild pain group and (2) moderate or severe pain group. The "schoolbag load" (ratio between schoolbag and pupil weight multiplied by 100) was calculated for each subject. RESULTS: More than 60% of the subjects reported pain. Although the schoolbag load decreased from children to young and older adolescents, schoolbag-related pain significantly increased (p<.001). Girls reported significantly more frequent and more severe pain than boys. The logistic model confirmed that adolescent girls are the group at greatest risk of suffering from intense pain. The schoolbag load had a weak impact on back pain, whereas the schoolbag carrying time was a strong predictor. CONCLUSIONS: Adolescent girls have the highest risk of experiencing severe back pain, regardless of schoolbag load. This suggests that other factors (anatomical, physiological, or environmental) might play an important role in pain perception. These aspects should be investigated to plan appropriate preventive and rehabilitative strategies.