Initial Impairment Research Articles

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits

BackgroundWith the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced techniques. Previous works have mostly focused on machine learning-based prediction of dementia, lacking the analysis of dementia progression and its associations with risk factors over time. The black box nature of machine learning models has also raised concerns regarding their uncertainty and safety in decision making, particularly in sensitive domains like healthcare.ObjectiveWe aimed to characterize the progression of health conditions, such as chronic diseases and neuropsychiatric symptoms, of the participants in Mayo Clinic Study of Aging (MCSA) from initial mild cognitive impairment (MCI) diagnosis to dementia onset through network analysis.MethodsWe used the data from the MCSA, a prospective population-based cohort study of cognitive aging, and examined the changing association among variables (i.e., participants’ health conditions) from the first visit of MCI diagnosis to the visit of dementia onset using network analysis. The number of participants for this study are 97 with the number of visits ranging from 2 visits (30 months) to 7 visits (105 months). We identified the network communities among variables from three-fold collection of instances: (i) the first MCI diagnosis, (ii) progression to dementia, and (iii) dementia diagnosis. We determine the variables that play a significant role in the dementia onset, aiming to identify and prioritize specific variables that prominently contribute towards developing dementia. In addition, we explore the sex-specific impact of variables in relation to dementia, aiming to investigate potential differences in the influence of certain variables on dementia onset between males and females.ResultsWe found correlation among certain variables, such as neuropsychiatric symptoms and chronic conditions, throughout the progression from MCI to dementia. Our findings, based on patterns and changing variables within specific communities, reveal notable insights about the time-lapse before dementia sets in, and the significance of progression of correlated variables contributing towards dementia onset. We also observed more changes due to certain variables, such as cognitive and functional scores, in the network communities for the people who progressed to dementia compared to those who does not. Most changes for sex-specific analysis are observed in clinical dementia rating and functional activities questionnaire during MCI onset are followed by chronic diseases, and then by NPI-Q scores.ConclusionsNetwork analysis has shown promising potential to capture significant longitudinal changes in health conditions, spanning from the MCI diagnosis to dementia progression. It can serve as a valuable analytic approach for monitoring the health status of individuals in cognitive impairment assessment. Furthermore, our findings indicate a notable sex difference in the impact of specific health conditions on the progression of dementia.

An Update on Spinal Cord Injury and Current Management

» Spinal cord injury is associated with increased lifelong cost and decreased life expectancy.» Current treatment guidelines have been limited to studies of small effect sizes and limited availability of randomized control trials.» Recovery is best correlated with the initial American Spinal Injury Association impairment scale grade with A and B less likely to recover regarding ambulation as compared with C and D grades.» Surgical intervention within less than 24 hours, especially in the cervical spine, has been associated with some motor improvement.» The use of mean arterial pressure goals and steroids to maintain perfusion and decrease secondary injury requires further study to elucidate clearer evidence-based results.

Predictive utility of self-efficacy in early stroke rehabilitation

ABSTRACT Introduction A biopsychosocial approach entailing person-centered factors provides valuable insight to post-stroke rehabilitation potential. The consideration of an individual’s belief in their capabilities, known as self-efficacy, may prove especially informative in the inpatient rehabilitation setting where motor learning often occurs. Objective To assess the predictive utility of self-efficacy in functional independence status change during inpatient rehabilitation. Methods Individuals with stroke admitted to an inpatient rehabilitation facility (IRF) completed an assessment battery near IRF admission and discharge involving motor assessments, participant-reported self-efficacy (Stroke Self-Efficacy Questionnaire), and functional independence status evaluation (sum of self-care and mobility Quality Indicators (QI) from the IRF-Patient Assessment Instrument). Linear regression was performed to determine the predictive performance of self-efficacy on QI change during IRF stay while accounting for age, time post-stroke, and IRF length of stay. Regression procedures were repeated for separate subgroups based on initial motor impairment level. Results Thirty individuals with stroke (14 females, age = 67.0 ± 9.80 years, 10.4 ± 3.46 days post-stroke) were enrolled. Self-efficacy at IRF admission explained a significant percentage of variance in QI Change for the cohort (R2 = 30.7%, p = .001) and for the moderate to severe motor impairment subgroup (n = 12; R2 = 49.9%, p = .010). After accounting for confounders, self-efficacy remained a significant predictor for the cohort (n = 30) model. Discussion Findings generated from this work support the predictive utility of self-efficacy in early post-stroke motor recovery. The inclusion of self-efficacy in a multi-faceted evaluation framework may therefore optimize rehabilitation outcomes by providing therapists with additional knowledge to better tailor an individual’s care.

Respiratory-swallow patterning and oropharyngeal swallowing impairment in patients undergoing evaluation for lung transplant.

Although swallowing impairment is prevalent following lung transplantation, baseline respiratory and swallowing characteristics are often overlooked. Respiratory disease processes may predispose lung transplant candidates to altered respiratory-swallow patterning and swallowing impairment. This cross-sectional study included patients referred for a Modified Barium Swallow Study during lung transplant evaluation. Swallowing impairment was measured using the Modified Barium Swallow Impairment Profile and Penetration-Aspiration Scale. Respiratory plethysmographic signals synchronized with videofluoroscopy were analyzed to determine phase patterning, pause duration, and rate. Mixed-effects logistic regression was used to identify linkages between respiratory and swallowing measures. Fifty patients were included and demonstrated delayed swallow initiation (49/50), oral residue (37/50), incomplete pharyngoesophageal segment opening (35/50), and esophageal retention (43/50). Airway invasion occurred infrequently (10/50). Atypical respiratory patterning was significantly associated with impairment in pharyngeal swallow initiation (OR [95% CI] = 1.76 [1.16, 2.68], p = 0.009), laryngeal elevation (OR [95% CI] = 1.45 [1.01, 2.07], p = 0.044), and laryngeal vestibular closure (OR [95% CI] = 2.57 [1.48, 4.46], p < 0.001). Increased pause duration was associated with impaired initiation (OR [95% CI] = 2.24 [1.20, 4.16], p = 0.011), laryngeal elevation (OR [95% CI] = 1.18 [1.03, 1.36], p = 0.018), laryngeal closure (OR [95% CI] = 1.28 [1.9, 1.50], p = 0.003), and tongue base retraction (OR [95% CI] = 1.33 [1.13, 1.56], p < 0.001). Patients undergoing evaluation for lung transplant demonstrated impaired swallowing and phase patterning. Preliminary findings implicate the need for further evaluation of respiratory-swallow coordination and its potential role in swallowing impairment before and after lung transplantation.

Long COVID patients' brain activation is suppressed during walking and severer symptoms lead to stronger suppression.

This research aims to study the factors contributing to Long COVID and its effects on motor and cognitive brain regions using population surveys and brain imaging. The goal is to provide new insights into the neurological effects of the illness and establish a basis for addressing neuropsychiatric symptoms associated with Long COVID. Study 1 used a cross-sectional design to collect data on demographic characteristics and factors related to Long COVID symptoms in 551 participants. In Study 2, subjects with Long COVID and SARS-CoV-2 uninfected individuals underwent fNIRS monitoring while performing various tasks. Study 1 found that gender, age, BMI, Days since the first SARS-CoV-2 infection, and Symptoms at first onset influenced Long COVID performance. Study 2 demonstrated that individuals in the SARS-CoV-2 uninfected group exhibited greater activation of cognitive function-related brain regions than those in the Long COVID group while performing a level walking task. Furthermore, individuals in the Long COVID group without functional impairment displayed higher activation of brain regions associated with motor function during a weight-bearing walking task than those with functional impairment. Among individuals with Long COVID, those with mild symptoms at onset exhibited increased activation of brain regions linked to motor and cognitive function relative to those with moderate symptoms at onset. Individuals with Long COVID exhibited decreased activation in brain regions associated with cognitive and motor function compared to SARS-CoV-2 uninfected individuals. Moreover, those with more severe initial symptoms or functional impairment displayed heightened inhibition in these brain regions.

Outcome prediction in psychological therapy with continuous time dynamic modeling of affective states and emotion regulation.

To date, many prediction studies in psychotherapy research have used cross-sectional data to predict treatment outcome. The present study used intensive longitudinal assessments and continuous time dynamic modeling (CTDM) to investigate the temporal dynamics of affective states and emotion regulation in the early phase of therapy and their ability to predict treatment outcome. Ninety-one patients undergoing psychological treatment at a university outpatient clinic took part in a 2-week ecological momentary assessment (EMA) period. Participants answered self-report measures on positive affect (PA), negative affect, and emotion regulation (ER) four times a day. Hierarchical Bayesian CTDM was conducted to identify temporal effects within (autoregressive) and between (cross-regressive) PA, negative affect, and ER. The resulting CTDM parameters, simple EMA parameters (e.g., mean), and cross-sectional predictors were entered into a LASSO model to be examined as predictors of treatment outcome at Session 15. Two significant predictors were identified: initial impairment and the continuous time cross-effect of PA on ER. The final model explained 40% of variance in treatment outcome, with the cross-effect (PA-ER) accounting for 4% of variance beyond initial impairment. The results demonstrate that temporal patterns of affective EMA data are valuable for the mapping of individual differences and the prediction of treatment outcome. This information can be used to provide therapists with feedback to personalize treatments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Beneficial Effects on Exercise Capacity Associated with a Combination of Lactoferrin, Lysozyme, Lactobacillus, Resveratrol, Vitamins, and Oligoelements in Patients with Post-COVID-19 Syndrome: A Single-Center Retrospective Study.

Background/Objectives: Although long-term COVID-19 symptoms are common, little is known about the management of post-COVID-19 condition. The aim of the current report is to evaluate the effects of a combination of lactoferrin, lysozyme, lactobacillus, resveratrol, vitamins, and oligoelements (PIRV-F20®) on the exercise capacity of post-COVID-19 patients. Methods: A retrospective analysis of consecutive patients referred to a specific outpatient clinic dedicated to post-COVID-19 condition from April 2022 to April 2023 was conducted. Subjects of both sexes, aged ≥18 years, with previous COVID-19 in the preceding 12 months, persistent symptoms consistent with post-COVID syndrome, and initial exercise impairment were included. Exclusion criteria were as follows: active cancer, end-stage conditions, severe musculoskeletal conditions, or patients with a history of limited functional capacity, pregnancy, or breastfeeding. Patients who reported having taken PIRV-F20® for at least 6 weeks were compared to patients who refused this treatment. Six-minute walking distance was the primary endpoint. Results: Forty-four patients (56.8% women, aged 49.1 ± 18.1 years) were included in the study. The group of patients who reported having taken PIRV-F20® exhibited a significant improvement of 6MWD (median: +40 m; IQR: 10-65 m, p vs. baseline: 0.02), which was significantly superior (p: 0.01) when compared to the controls (median: +10 m; IQR: -5-30 m). No differences were found with regard to muscular strength, echocardiographic parameters, and perception of symptoms. Conclusions: Post-COVID-19 individuals who reported having taken PIRV-F20® for at least six weeks showed a significant improvement in exercise capacity. This finding should be confirmed in larger, prospective, randomized controlled trials.

A novel transgenic mouse model highlights molecular disruptions involved in the pathogenesis of Dent disease 1

Dent disease (DD) is a hereditary renal disorder characterized by low molecular weight (LMW) proteinuria and progressive renal failure. Inactivating mutations of the CLCN5 gene encoding the 2Cl-/H+exchanger ClC-5 have been identified in patients with DD type 1. ClC-5 is essentially expressed in proximal tubules (PT) where it is thought to play a role in maintaining an efficient endocytosis of LMW proteins. However, the exact pathological roles of ClC-5 in progressive dysfunctions observed in DD type 1 are still unclear. To address this issue, we designed a mouse model carrying the most representative type of ClC-5 missense mutations found in DD patients. These mice showed a characteristic DD type 1 phenotype accompanied by altered endo-lysosomal system and autophagy functions. With ageing, KI mice showed increased renal fibrosis, apoptosis and major changes in cell metabolic functions as already suggested in previous DD models. Furthermore, we made the interesting new discovery that the Lipocalin-2-24p3R pathway might be involved in the progression of the disease. These results suggest a crosstalk between the proximal and distal nephron in the pathogenesis mechanisms involved in DD with an initial PT impairment followed by the Lipocalin-2 internalisation and 24p3R overexpression in more distal segments of the nephron. This first animal model of DD carrying a pathogenic mutation of Clcn5 and our findings pave the way aimed at exploring therapeutic strategies to limit the consequences of ClC-5 disruption in patients with DD type 1 developing chronic kidney disease.

Genetic diversity accelerates canine distemper virus adaptation to ferrets.

RNA viruses adapt rapidly to new host environments by generating highly diverse genome sets, so-called "quasispecies." Minor genetic variants promote their rapid adaptation, allowing for the emergence of drug-resistance or immune-escape mutants. Understanding these adaptation processes is highly relevant to assessing the risk of cross-species transmission and the safety and efficacy of vaccines and antivirals. We hypothesized that genetic memory within a viral genome population facilitates rapid adaptation. To test this, we investigated the adaptation of the Morbillivirus canine distemper virus to ferrets and compared an attenuated, Vero cell-adapted virus isolate with its recombinant derivative over consecutive ferret passages. Although both viruses adapted to the new host, the reduced initial genetic diversity of the recombinant virus resulted in delayed disease onset. The non-recombinant virus gradually increased the frequencies of beneficial mutations already present at very low frequencies in the input virus. In contrast, the recombinant virus first evolved de novo mutations to compensate for the initial fitness impairments. Importantly, while both viruses evolved different sets of mutations, most mutations found in the adapted non-recombinant virus were identical to those found in a previous ferret adaptation experiment with the same isolate, indicating that mutations present at low frequency in the original virus stock serve as genetic memory. An arginine residue at position 519 in the carboxy terminus of the nucleoprotein shared by all adapted viruses was found to contribute to pathogenesis in ferrets. Our work illustrates the importance of genetic diversity for adaptation to new environments and identifies regions with functional relevance.IMPORTANCEWhen viruses encounter a new host, they can rapidly adapt to this host and cause disease. How these adaptation processes occur remains understudied. Morbilliviruses have high clinical and veterinary relevance and are attractive model systems to study these adaptation processes. The canine distemper virus is of particular interest, as it exhibits a broader host range than other morbilliviruses and frequently crosses species barriers. Here, we compared the adaptation of an attenuated virus and its recombinant derivative to that of ferrets. Pre-existing mutations present at low frequency allowed faster adaptation of the non-recombinant virus compared to the recombinant virus. We identified a common point mutation in the nucleoprotein that affected the pathogenesis of both viruses. Our study shows that genetic memory facilitates environmental adaptation and that erasing this genetic memory by genetic engineering results in delayed and different adaptation to new environments, providing an important safety aspect for the generation of live-attenuated vaccines.

Clinical impact of hyperbaric oxygen therapy combined with steroid treatment for sudden sensorineural hearing loss: A case-control study.

The aim of present study was to evaluate the clinical efficacy of hyperbaric oxygen therapy (HBOT) as a primary therapy combined with standard systemic corticosteroid treatment for sudden sensorineural hearing loss (SSNHL) compared to treatment without the use of HBOT (non-HBOT) through clinical data and advanced analytical approaches. Case-control study. Conducted across three Japanese medical centers involving 298 SSNHL patients diagnosed between 2020 and 2023. Inclusion criteria encompassed first onset and treatment, WHO grade 3 or 4 initial hearing impairment, receipt of systemic corticosteroid therapy within 14 days of symptom onset, and initiation of HBOT within the same timeframe for the case group. The primary outcome measure was the difference in hearing improvement (mean hearing level in decibels, dB) between the two groups, assessed by pure-tone audiometry at baseline and 3 months post-treatment, using the inverse probability of treatment weighting (IPTW) method adjusted for covariate differences. The study included 67 patients in the HBOT group and 68 in the non-HBOT group. The HBOT group exhibited significantly greater hearing improvement (IPTW-adjusted difference: 7.6 dB, 95% CI 0.4-14.7; p = 0.038). Patients without vertigo in the HBOT group demonstrated substantial hearing improvement (11.5 dB, 95% CI 2.3-20.6; p = 0.014), whereas those with vertigo showed no significant improvement (-1.8 dB, 95% CI -11.8-8.3; p = 0.729). The HBOT group also had a significantly higher association with complete recovery (IPTW-adjusted odds ratio: 2.57, 95% CI 1.13-5.85; p = 0.025). In SSHNL, HBOT combination therapy yielded slightly but significantly improved hearing outcomes compared to non-HBOT treatment. 4.

Performance and Fatigue Patterns in Elite Cyclists During 6 h of Simulated Road Racing.

Fatigue resistance is vital for success in elite road cycling, as repeated, intense efforts challenge the athletes' ability to sustain peak performance throughout prolonged races. The present study combined recurrent performance testing and physiological measures during 6 h simulated racing with laboratory testing to investigate factors influencing fatigue resistance. Twelve male national elite cyclists (25 ± 3 years; 76 ± 6 kg and VO2max of 5.2 ± 0.5 L/min) completed incremental power and maximal fat oxidation tests. Subsequently, they underwent field testing with physiological measures and fatigue responses evaluated through peak sprint power and 5 km time trial (TT) testing after 0, 2, 4, and 6 h of exercise. Peak power declined from 1362 ± 176 W in first sprint to 1271 ± 152 W after 2 h (p < 0.01) and then stabilized. In contrast, TT mean power gradually declined from 412 ± 38 W in the first TT to 384 ± 41 W in the final trial, with individual losses ranging from 2% to 14% and moderately correlated (r2 = 0.45) to accumulated exercise time above lactate threshold. High carbohydrate intake (~90 g/h) maintained blood glucose levels, but post-TT [lactate] decreased from 15.1 ± 2 mM to 7.1 ± 2.3 mM, while fat oxidation increased from 0.7 ± 0.3 g/min at 0 h to 1.1 ± 0.1 g/min after 6 h. The study identifies fatigue patterns in national elite cyclists. Peak sprint power stabilized after an initial impairment from 0 to 2 h, while TT power gradually declined over the 6 h simulated race, with increased differentiation in fatigue responses among athletes.

Association between chronic intestinal failure etiology and eGFR trajectory in adults receiving home parenteral nutrition: A retrospective longitudinal cohort study.

Patients with chronic intestinal failure (CIF) are at increased risk of developing renal impairment. The aim of this study was to evaluate the occurrence of chronic kidney disease (CKD) in patients dependent on home parenteral nutrition (HPN) and assess risk factors for renal impairment, including patients with all mechanisms of CIF. This was a cohort study of patients initiated on HPN between March 1, 2015, and March 1, 2020, at a national UK IF Reference Centre. Patients were followed from their first discharge with HPN until HPN cessation or the end of follow-up on December 31, 2021. There were 357 patients included in the analysis. Median follow-up time was 4.7 years. At baseline, >40% of patients had renal impairment, with 15.4% fulfilling the criteria for CKD. Mean estimated glomerular filtration rate (eGFR) decreased significantly during the first year after initiation of HPN from 93.32 ml/min/1.73 m2 to 86.30 ml/min/1.73 m2 at the first year of follow-up (P = 0.002), with sequential stabilization of renal function. Increased age at HPN initiation and renal impairment at baseline were associated with decreased eGFR. By the end of follow-up, 6.7% patients developed renal calculi and 26.1% fulfilled the criteria for CKD. This is the largest study of renal function in patients receiving long-term HPN. After the first year following HPN initiation, the rate of decline in eGFR was similar to that expected in the general population. These findings should reassure patients and clinicians that close monitoring of renal function can lead to good outcomes.

"Your Child Should Not Return": Preschool Expulsion Among Children With Attention-Deficit/Hyperactivity Disorder as an Early Indicator of Later Risks.

Young children with attention-deficit/hyperactivity disorder (ADHD) can have challenging behaviors putting them at risk for preschool expulsion and for adverse outcomes across child development, health, and education. We examined the association of preschool expulsion with ADHD symptoms, diagnosis, treatment, and functioning among children with ADHD. Using the cross-sectional National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome on 2947 children aged 5 to 17 years ever diagnosed with ADHD, parents reported on preschool expulsion, ADHD symptoms, diagnosis, treatment, and functioning. Weighted analyses included calculations of estimated means, prevalence, and prevalence ratios. Preschool expulsion was experienced by 4.4% of children ever diagnosed with ADHD (girls: 1.5%; boys: 5.7%). Children with preschool expulsion had lower mean ages at first concern about ADHD symptoms, ADHD diagnosis, and initiation of ADHD medication and had higher prevalence of severe ADHD symptoms and other mental, behavioral, or developmental disorders. A history of preschool expulsion was associated with difficulties with overall school performance, organized activities, writing, handwriting, and the parent-child relationship, but not with math, reading, or peer or sibling relationships. Children with preschool expulsion more often received school supports, behavioral classroom management, peer intervention, and social skills training. Among children ever diagnosed with ADHD, history of preschool expulsion was associated with more severe ADHD symptoms, other disorders, earlier diagnosis and medication initiation, and academic and social impairment. Health care providers can use preschool expulsion as an indicator of risk for children with ADHD and connect families to effective treatments.

Do presenting symptoms predict treatment decisions and survival in glioblastoma? Real-world data from 1458 patients in the Swedish brain tumor registry.

Glioblastoma is the most common malignant brain tumor in adults. Non-invasive clinical parameters could play a crucial role in treatment planning and serve as predictors of patient survival. Our register-based real-life study aimed to investigate the prognostic value of presenting symptoms. Data on presenting symptoms and survival, as well as known prognostic factors, were retrieved for all glioblastoma patients in Sweden registered in the Swedish Brain Tumor Registry between 2018 and 2021. The prognostic impact of different presenting symptoms was calculated using the Cox proportional hazard model. Data from 1458 adults with pathologically verified IDH wild-type glioblastoma were analyzed. Median survival time was 345 days. The 2-year survival rate was 21.5%. Registered presenting symptoms were focal neurological deficits, cognitive dysfunction, headache, epilepsy, signs of raised intracranial pressure, and cranial nerve symptoms, with some patients having multiple symptoms. Patients with initial cognitive dysfunction had significantly shorter survival than patients without; 265 days (245-285) vs. 409 days (365-453; P < .001). The reduced survival remained after Cox regression adjusting for known prognostic factors. Patients presenting with seizures and patients with headaches had significantly longer overall survival compared to patients without these symptoms, but the difference was not retained in multivariate analysis. Patients with cognitive deficits were less likely to have radical surgery and to receive extensive anti-neoplastic nonsurgical treatment. This extensive real-life study reveals that initial cognitive impairment acts as an independent negative predictive factor for treatment decisions and adversely affects survival outcomes in glioblastoma patients.

Assessment of Anxiety and Depression in the Perioperative Period in Women of Reproductive Age During Regional Anesthesia

Introduction Perioperative cognitive impairment occurs in both pregnant and non-pregnant women. Prediction, early detection and effective treatment of these disorders are important for the well-being of women and their offspring.Aim of study To evaluate the effect of anesthesia and surgery on the level of anxiety, depression, short-term memory, and concentration in pregnant and nonpregnant women.Material and methods The observational prospective study included 120 patients who were divided into two equal groups — pregnant (n=60) and nonpregnant (n=60) women. A comparative analysis of testing psychosomatic reactions and cognitive functions using the MoCa test, Benton and Wechsler tests, selfassessment questionnaire, Hospital Anxiety and Depression Scale (HADS) was carried out. The relative risk and odds ratio of developing anxiety and depression were calculated.Results Anxiety indicators in pregnant women before surgery reached subclinical values of 7.5 (8.4; 6.6), and in non-pregnant women – the norm: 6.5 (7.3; 5.7) (p&lt;0.001); Results of depression in pregnant women after surgery were 7.3 (8.5; 6.1), in non-pregnant women — the norm: 6.3 (7; 5.5) (p&lt;0.001). The odds of developing short-term memory impairment in pregnant women before surgery was 3.1 times higher than in non-pregnant women, odds ratio 3.1 (95% CI [1.3–7.4]). In the pregnant group, short-term memory scores before surgery were 5 (5.8; 4.2), and after surgery they decreased to 3.8 (4.7; 2.9) (p&lt;0.001). There was a decrease in concentration of attention in pregnant women: before surgery 6.2 (6.8; 5.6), and after surgery — 5 (5.8; 4.2) (p&lt;0.001). The relative risk (RR) of developing depression in pregnant women after surgery was 6.1 times RR=6.1 (95% CI 2.4; 15.8), sensitivity Se (%)=0.9, specificity Sp (%)=0.5. The relative risk (RR) of developing short-term memory impairment after surgery was 1.1 times RR=1.1 (95% CI 1; 1.2), sensitivity Se (%)=0.5, specificity Sp (%)=0, 8. The relative risk (RR) of developing problems with concentration after surgery was 8.3 times RR=8.3 (95% CI 3.9; 18.3), sensitivity Se (%)=0.8, specificity Sp (%)=0.7.Conclusions The Results obtained allow us to conclude that before surgery, pregnant women experience a subclinical version of anxiety, against the background of which the chances of developing problems with short-term memory and concentration increase. After surgery, pregnant women experience a subclinical version of depression, along with it there is also impairment of intelligence, short-term memory and concentration. The initial impairment of memory and attention requires the selection of anesthesia in a group of pregnant women.

Dopaminergic mesolimbic structural reserve is positively linked to better outcome after severe stroke.

The concept of brain reserve capacity has emerged in stroke recovery research in recent years. Imaging-based biomarkers of brain health have helped to better understand outcome variability in clinical cohorts. Still, outcome inferences are far from being satisfactory, particularly in patients with severe initial deficits. Neurorehabilitation after stroke is a complex process, comprising adaption and learning processes, which, on their part, are critically influenced by motivational and reward-related cognitive processes. Amongst others, dopaminergic neurotransmission is a key contributor to these mechanisms. The question arises, whether the amount of structural reserve capacity in the dopaminergic system might inform about outcome variability after severe stroke. For this purpose, this study analysed imaging and clinical data of 42 severely impaired acute stroke patients. Brain volumetry was performed within the first 2 weeks after the event using the Computational Anatomy Toolbox CAT12, grey matter volume estimates were collected for seven key areas of the human dopaminergic system along the mesocortical, mesolimbic and nigrostriatal pathways. Ordinal logistic regression models related regional volumes to the functional outcome, operationalized by the modified Rankin Scale, obtained 3-6 months after stroke. Models were adjusted for age, lesion volume and initial impairment. The main finding was that larger volumes of the amygdala and the nucleus accumbens at baseline were positively associated with a more favourable outcome. These data suggest a link between the structural state of mesolimbic key areas contributing to motor learning, motivational and reward-related brain networks and potentially the success of neurorehabilitation. They might also provide novel evidence to reconsider dopaminergic interventions particularly in severely impaired stroke patients to enhance recovery after stroke.

Severity-Dependent Interhemispheric White Matter Connectivity Predicts Poststroke Neglect Recovery.

Left-sided spatial neglect is a very common and challenging issue after right-hemispheric stroke, which strongly and negatively affects daily living behavior and recovery of stroke survivors. The mechanisms underlying recovery of spatial neglect remain controversial, particularly regarding the involvement of the intact, contralesional hemisphere, with potential contributions ranging from maladaptive to compensatory. In the present prospective, observational study, we assessed neglect severity in 54 right-hemispheric stroke patients (32 male; 22 female) at admission to and discharge from inpatient neurorehabilitation. We demonstrate that the interaction of initial neglect severity and spared white matter (dis)connectivity resulting from individual lesions (as assessed by diffusion tensor imaging, DTI) explains a significant portion of the variability of poststroke neglect recovery. In mildly impaired patients, spared structural connectivity within the lesioned hemisphere is sufficient to attain good recovery. Conversely, in patients with severe impairment, successful recovery critically depends on structural connectivity within the intact hemisphere and between hemispheres. These distinct patterns, mediated by their respective white matter connections, may help to reconcile the dichotomous perspectives regarding the role of the contralesional hemisphere as exclusively compensatory or not. Instead, they suggest a unified viewpoint wherein the contralesional hemisphere can - but must not necessarily - assume a compensatory role. This would depend on initial impairment severity and on the available, spared structural connectivity. In the future, our findings could serve as a prognostic biomarker for neglect recovery and guide patient-tailored therapeutic approaches.

A usability study on mobile EMG-guided wrist extension training in subacute stroke patients-MyoGuide

BackgroundEffective stroke rehabilitation requires high-dose, repetitive-task training, especially during the early recovery phase. However, the usability of upper-limb rehabilitation technology in acute and subacute stroke survivors remains relatively unexplored. In this study, we introduce subacute stroke survivors to MyoGuide, a mobile training platform that employs surface electromyography (sEMG)-guided neurofeedback training that specifically targets wrist extension. Notably, the study emphasizes evaluating the platform’s usability within clinical contexts.MethodsSeven subacute post-stroke patients (1 female, mean age 53.7 years, mean time post-stroke 58.9 days, mean duration per training session 48.9 min) and three therapists (one for eligibility screening, two for conducting training) participated in the study. Participants underwent ten days of supervised one-on-one wrist extension training with MyoGuide, which encompassed calibration, stability assessment, and dynamic tasks. All training records including the Level of Difficulty (LoD) and Stability Assessment Scores were recorded within the application. Usability was assessed through the System Usability Scale (SUS) and participants’ willingness to continue home-based training was gauged through a self-developed survey post-training. Therapists also documented the daily performance of participants and the extent of support required.ResultsThe usability analysis yielded positive results, with a median SUS score of 82.5. Compared to the first session, participants significantly improved their performance at the final session as indicated by both the Stability Assessment Scores (p = 0.010, mean = 229.43, CI = [25.74–433.11]) and the LoD (p < 0.001; mean: 45.43, CI: [25.56–65.29]). The rate of progression differed based on the initial impairment levels of the patient. After training, participants expressed a keen interest in continuing home-based training. However, they also acknowledged challenges related to independently using the Myo armband and software.ConclusionsThis study introduces the MyoGuide training platform and demonstrates its usability in a clinical setting for stroke rehabilitation, with the assistance of a therapist. The findings support the potential of MyoGuide for wrist extension training in patients across a wide range of impairment levels. However, certain usability challenges, such as donning/doffing the armband and navigating the application, need to be addressed to enable independent MyoGuide training requiring only minimal supervision by a therapist.

Point of View on Outcome Prediction Models in Post-Stroke Motor Recovery

Stroke is a leading cause of disability worldwide which can cause significant and persistent upper limb (UL) impairment. It is difficult to predict UL motor recovery after stroke and to forecast the expected outcomes of rehabilitation interventions during the acute and subacute phases when using clinical data alone. Accurate prediction of response to treatment could allow for more timely and targeted interventions, thereby improving recovery, resource allocation, and reducing the economic impact of post-stroke disability. Initial motor impairment is currently the strongest predictor of post-stroke motor recovery. Despite significant progress, current prediction models could be refined with additional predictors, and an emphasis on the time dependency of patient-specific predictions of UL recovery profiles. In the current paper a panel of experts provide their opinion on additional predictors and aspects of the literature that can help advance stroke outcome prediction models. Potential strategies include close attention to post-stroke data collection timeframes and adoption of individual-computerized modeling methods connected to a patient’s health record. These models should account for the non-linear and the variable recovery pattern of spontaneous neurological recovery. Additionally, input data should be extended to include cognitive, genomic, sensory, neural injury, and function measures as additional predictors of recovery. The accuracy of prediction models may be further improved by including standardized measures of outcome. Finally, we consider the potential impact of refined prediction models on healthcare costs.

A normative modeling approach to quantify white matter changes and predict functional outcomes in stroke patients.

The diverse nature of stroke necessitates individualized assessment, presenting challenges to case-control neuroimaging studies. The normative model, measuring deviations from a normal distribution, provides a solution. We aim to evaluate stroke-induced white matter microstructural abnormalities at group and individual levels and identify potential prognostic biomarkers. Forty-six basal ganglia stroke patients and 46 healthy controls were recruited. Diffusion-weighted imaging and clinical assessment were performed within 7 days after stroke. We used automated fiber quantification to characterize intergroup alterations of segmental diffusion properties along 20 fiber tracts. Then each patient was compared to normative reference (46 healthy participants) by Mahalanobis distance tractometry for 7 significant fiber tracts. Mahalanobis distance-based deviation loads (MaDDLs) and fused MaDDLmulti were extracted to quantify individual deviations. We also conducted correlation and logistic regression analyses to explore relationships between MaDDL metrics and functional outcomes. Disrupted microstructural integrity was observed across the left corticospinal tract, bilateral inferior fronto-occipital fasciculus, left inferior longitudinal fasciculus, bilateral thalamic radiation, and right uncinate fasciculus. The correlation coefficients between MaDDL metrics and initial functional impairment ranged from 0.364 to 0.618 (p < 0.05), with the highest being MaDDLmulti. Furthermore, MaDDLmulti demonstrated a significant enhancement in predictive efficacy compared to MaDDL (integrated discrimination improvement [IDI] = 9.62%, p = 0.005) and FA (IDI = 34.04%, p < 0.001) of the left corticospinal tract. MaDDLmulti allows for assessing behavioral disorders and predicting prognosis, offering significant implications for personalized clinical decision-making and stroke recovery. Importantly, our method demonstrates prospects for widespread application in heterogeneous neurological diseases.