Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label absolute stupidity. Show all posts
Showing posts with label absolute stupidity. Show all posts

Monday, September 21, 2026

Serial immune-inflammatory recovery trajectories after acute ischemic stroke: associations with early neurological deterioration and 90-day functional outcome in a retrospective cohort

 

'Associations' don't get you recovered, or are you too fucking stupid to see that? What prevents early neurological deterioration is the needed research, not this crapola! You've known of the need for almost a decade but INCOMPETENTLY did this instead! You're fired!

Serial immune-inflammatory recovery trajectories after acute ischemic stroke: associations with early neurological deterioration and 90-day functional outcome in a retrospective cohort


  • 1. Suzhou Medical College, Soochow University, Suzhou, Jiangsu, China

  • 2. Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China

Abstract


Background: 


Systemic inflammation after acute ischemic stroke is usually assessed using admission biomarkers, which may not distinguish transient stress from sustained immune-inflammatory activation. We examined whether serial immune-inflammatory recovery trajectories were associated with early neurological deterioration (END) and 90-day functional outcome.


Methods: 


This single-center retrospective cohort included 760 adults with acute ischemic stroke identified from a hospital stroke database. NLR, SII, SIRI, and hs-CRP measured at admission, 24 h, 72 h, and day 7 were log-transformed and standardized, and equally weighted values were averaged at each observed time point. Latent class mixed models with 2–5 classes were compared without using outcome information, and a five-class solution was selected before association and prediction analyses. The primary outcome was 90-day mRS 3–6. END was defined as an NIHSS increase of ≥2 points within 72 h; the landmark END analysis excluded END within 24 h and tested 0–24 h immune change for END from 24 to 72 h.


Results: 


The five LCMM classes comprised 182 low-stable, 223 transient moderate, 161 delayed recovery, 122 persistent high, and 72 extreme persistent high patients. Among 751 patients with 90-day outcome data, the observed rate of mRS 3–6 increased from 21.5 to 30.6%, 44.2, 71.9, and 98.6% across these classes. After adjustment, persistent high (OR 2.46, 95% CI 1.31–4.61; p = 0.005) and extreme persistent high inflammation (OR 20.24, 95% CI 2.48–165.26; p = 0.005) were associated with mRS 3–6; a bias-reduced sensitivity estimate for the extreme class remained large (OR 13.61, 95% CI 2.34–79.26). Ordinal analysis showed progressively worse mRS for delayed recovery (common OR 2.73), persistent high (4.18), and extreme persistent high (6.72). The 0–24 h composite immune-change metric was not associated with landmark END (OR 1.12, 95% CI 0.92–1.36; p = 0.265). Adding LCMM-5 to the clinical model increased AUC from 0.828 to 0.841, but did not clearly outperform adding admission NLR/SII.


Conclusion: 


Longitudinal classification identified five immune-inflammatory recovery trajectories with a marked gradient in 90-day disability. Persistent-high and extreme persistent-high classes retained independent associations with poor functional outcome.

Association between complete blood count-derived hematological inflammatory ratios and nutritional risk in elderly patients with acute ischemic stroke

 

'Associations' don't get you recovered, or are you too fucking stupid to see that? What prevents nutritional risk is the needed research, not this crapola! Like EXACT DIET PROTOCOLS, starting in the hospital!

You've known of the risk for over a year! 

SOLVE THE GODDAMN PROBLEM!

Association between complete blood count-derived hematological inflammatory ratios and nutritional risk in elderly patients with acute ischemic stroke


  • 1. Department of Neurology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

  • 2. Department of Neurology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China

Abstract


Background and aims: 


Mounting evidence suggests CBC-derived hematological inflammatory ratios correlate with nutritional status, yet few studies explore their cross-sectional associations with GNRI-defined concurrent nutritional risk in elderly patients with acute ischemic stroke (AIS). This single-center, cross-sectional, observational study was designed to evaluate the correlation between routine admission hematological markers and nutritional risk in elderly patients with AIS. Twelve CBC-derived indices were analyzed: lymphocyte ratio (LR), red blood cell-to-lymphocyte ratio (RLR), hemoglobin-to-lymphocyte ratio (HLR), monocyte-to-lymphocyte ratio (MLR), monocyte-to-neutrophil ratio (MNR), neutrophil-to-lymphocyte ratio (NLR), NLR-to-platelet ratio (NLR/PLT100), MLR-to-platelet ratio (MLR/PLT), platelet-to-neutrophil ratio (PNR), platelet-to-lymphocyte ratio (PLR), mean platelet volume-to-lymphocyte ratio (MPVLR), serum albumin-to-lymphocyte ratio (ALBLR).


Methods: 


Between January 2022 and January 2024, 540 elderly AIS patients (≥60 years) were enrolled. All participants underwent admission GNRI assessment and were split into GNRI-defined nutritional risk group (GNRI≤98, n = 245, 45.4%) and non-nutritional risk group (GNRI>98, n = 295). Venous blood was collected within 24 h on admission. Univariate and multivariate logistic regression were applied to explore cross-sectional correlations, and an exploratory combined statistical model was built. ROC curve, DeLong’s test, likelihood ratio test and AIC were used to evaluate model discrimination and fit.


Results: 


Multiple indicators including age, hypertension, ALT, UA, TG, LR, RLR, MLR, NLR, NLR/PLT100, MLR/PLT, PLR and MPVLR showed univariate correlations with nutritional risk. Multivariate regression identified MLR and NLR/PLT100 as independent correlates within this cohort; MLR showed the strongest association in this dataset instead of robust correlative ability. Adding MLR alone or combining MLR + NLR/PLT100 to base clinical variables significantly improved C-statistic. The combined model reached an AUC of 0.735, representing only moderate discriminative capacity, and it was merely the superior exploratory model limited to the present sample without external generalizability.


Conclusion: 


Within this single-center cohort, MLR exhibited the strongest cross-sectional correlation with GNRI-defined nutritional risk among all tested CBC-derived hematological inflammatory ratios. The composite model combining baseline clinical indicators, MLR and NLR/PLT*100 demonstrated moderate discriminative ability within the study sample, but is not yet robust enough to serve as an effective tool for routine clinical risk stratification.

The association of high-sensitivity C-reactive protein-triglyceride glucose index with functional outcome in elderly patients with acute ischemic stroke undergoing intravenous thrombolysis

 

 'Associations' don't get you recovered, or are you too fucking stupid to see that? What prevents post stroke cognitive impairment is the needed research, not this crapola!

The association of high-sensitivity C-reactive protein-triglyceride glucose index with functional outcome in elderly patients with acute ischemic stroke undergoing intravenous thrombolysis


  • 1. Department of Neurology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China

  • 2. Department of Neurology, Haimen Hospital Affiliated to Nantong University, Nantong, Jiangsu, China

Abstract


Background and purpose: 


High-sensitivity C-reactive protein-triglyceride-glucose index (CTI) is an innovative biomarker of insulin resistance and inflammation. The objective of this study was to explore the association of high-sensitivity CTI with functional outcome in elderly patients with acute ischemic stroke (AIS) undergoing intravenous thrombolysis (IVT).


Methods: 


Elderly AIS patients treated with IVT were enrolled in three centers. Unfavorable functional outcome was defined as Modified Rankin Scale score ranging from 3–6. Logistic regression models were used to calculate the odds ratio (OR) and 95% confidence interval (95% CI) for the association between high-sensitivity CTI and 3-month functional outcome. Restricted cubic splines (RCS) were performed to explore the shape of this association. Receiver operating characteristic curve was applied to evaluate the discriminatory capacity of high-sensitivity CTI. Furthermore, subgroup and sensitivity analyses were performed to examine the consistency of the observed association.


Results: 


A total of 708 elderly patients were enrolled, among whom 231 (32.6%) developed unfavorable functional outcome at 3 month follow up. In Model 3, higher continuous high sensitivity CTI levels were independently associated with 3 month unfavorable functional outcome among elderly AIS patients receiving IVT (OR = 1.64; 95% CI, 1.28–2.11). Taking the first quartile of high sensitivity CTI as the reference group, patients in the fourth quartile exhibited the highest risk of unfavorable functional outcome in Model 3 (OR = 2.62, 95% CI, 1.48–4.64). RCS revealed a significant overall association between high sensitivity CTI and unfavorable functional outcome, with no statistically significant nonlinear component (P for overall < 0.001; P for nonlinearity = 0.743). Subgroup and sensitivity analyses demonstrated consistent directions of associations.


Conclusion: 


High-sensitivity CTI was independently associated with functional outcome at 3 months in elderly AIS patients treated with IVT.

Association of serum uric acid with early post-stroke cognitive impairment after acute minor ischemic stroke and transient ischemic attack

 'Associations' don't get you recovered, or are you too fucking stupid to see that? What prevents post stroke cognitive impairment is the needed research, not this crapola!

Association of serum uric acid with early post-stroke cognitive impairment after acute minor ischemic stroke and transient ischemic attack


Abstract

Serum uric acid (SUA) is associated with cognitive impairment, but relevant studies are controversial, and studies on SUA and cognitive impairment after acute minor ischemic stroke and transient ischemic attack (TIA) are scarce. This exploratory study included 543 patients with mild ischemic stroke and TIA who were admitted to the First Hospital of Jilin University from April 2019 to March 2022. Demographic, imaging, hematological data and comprehensive cognitive scale assessment were collected. Early Post-Stroke cognitive impairment was defined as a Montreal Cognitive Assessment score < 22 points, assessed at 7–10 days after acute minor ischemic stroke or TIA. The association between SUA and early PSCI was assessed using multivariable logistic regression, adjusting for both clinically relevant variables and those significant in univariate analysis. Sensitivity analysis was performed by excluding the 5 participants with the highest serum SUA values. A restricted cubic spline was employed to evaluate potential nonlinear relationships, followed by segmented regression and stratified analysis by age (< 65 years) and sex. SUA showed a nonlinear association with early PSCI, with the lowest estimated risk observed at approximately 409 µmol/L. For every 1 µmol/L increase between 256.87 and 408.99 µmol/L, the risk of early PSCI decreased by 0.7% (OR 0.993, 95% CI 0.989–0.997, P < 0.001). In cognitive domain analyses, SUA also showed nonlinear associations with memory and executive function. Similar findings were observed after exclusion of extreme high SUA values. The association between SUA and early PSCI was generally consistent across sex and age subgroups. SUA showed a nonlinear association with early cognitive impairment after acute minor ischemic stroke and TIA. These findings are hypothesis-generating and require confirmation in larger longitudinal studies.

Friday, September 18, 2026

Neurofeedback-induced network plasticity in motor and default mode networks correlates with motor recovery after stroke

 With NO protocols produced, YOU DID NOTHING USEFUL; YOU'RE FIRED!

Not solving stroke is the absolute stupidity out there, this is just a lazy desription of something!  You're all fired! Your comeuppance/screaming when you are the 1 in 4 per WHO that has a stroke  will be soul satisfying. 

Not solving a well-known problem is inexcusable!

Neurofeedback-induced network plasticity in motor and default mode networks correlates with motor recovery after stroke

    We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

    Abstract

    Stroke often results in long-term motor impairments, necessitating innovative rehabilitation strategies. Neurofeedback (NF) has emerged as a promising tool to promote functional recovery after stroke by enabling patients to modulate targeted brain activity. In this study, we investigated how NF training influences whole-brain functional connectivity in chronic stroke patients using a data-driven, network-level approach. The analysis was conducted on the same dataset as a previously reported clinical study, focusing here on the effects of NF through the lens of functional connectivity. Thirty chronic stroke patients underwent either multimodal NF training (combining EEG-fMRI and EEG-only feedback targeting motor regions) or a matched motor imagery (MI) control condition without feedback. Pre- and post-intervention fMRI data were analyzed using Network-Based Statistics (NBS) to identify distributed changes in connectivity. Within-group analyses revealed significant reductions in connectivity within motor networks and the default mode network (DMN) in the NF group, while no significant effects were found in the MI control group. These connectivity reductions, particularly in contralesional motor network, were significantly correlated with motor function improvement. These findings highlight the relevance of network-level mechanisms in NF-induced plasticity and support the development of connectivity-informed NF strategies in stroke rehabilitation.

    Monday, September 14, 2026

    Sleep disorders in stroke rehabilitation: mechanisms, impacts, and multidisciplinary management — a narrative review

     Are you that brilliantly stupid you think describing sleep problems gets anyone recovered? WOW! That's special!

    I'd have you all fired!

    Sleep disorders in stroke rehabilitation: mechanisms, impacts, and multidisciplinary management — a narrative review


    • Department of Geriatric Rehabilitation, Shanghai Second Rehabilitation Hospital, Shanghai, China

    Abstract


    Background: 


    Sleep disorders and stroke share a bidirectional relationship. Sleep disturbances are independent stroke risk factors and frequent post-stroke complications. Obstructive sleep apnea (OSA), through intermittent hypoxia, systemic inflammation, endothelial dysfunction, and autonomic dysregulation, increases stroke risk by approximately 2- to 3-fold. Post-stroke sleep disorders affect up to 59.9% of patients, impeding neurological recovery.


    Objectives: 


    To examine the epidemiology, pathophysiology, and clinical impacts of sleep disorders on stroke recovery, and to summarize evidence-based management strategies.


    Methods: 


    A narrative review was guided by a writing outline developed from clinical observations and preliminary synthesis. A theme-driven literature search was conducted in PubMed, Embase, Cochrane, Web of Science, CNKI, and Wanfang (March 10–13, 2026) using targeted keywords (e.g., “sleep disorders,” “obstructive sleep apnea,” “rehabilitation,” “stroke”), limited to 2000–2026 publications in English or verified Chinese translations. Reference lists were also screened.


    Results: 


    Post-stroke sleep disorder prevalence ranges from 25 to 84%; OSA affects 40–78% of stroke patients. Sleep disorders correlate with worse functional outcomes, prolonged hospitalization, cognitive decline, and elevated stroke recurrence. Mechanistically, intermittent hypoxia, oxidative stress, systemic inflammation, glymphatic dysfunction, autonomic dysregulation, and impaired neuroplasticity are implicated. Management: CPAP is first-line for OSA; CBT-I improves insomnia symptoms; rTMS has been shown to improve sleep quality in clinical studies; exercise, melatonin, and light therapy show emerging evidence. Pharmacotherapy for RLS/PLMD requires caution regarding fall risk and cognitive side effects.


    Conclusion: 


    Sleep disorders are highly prevalent and negatively impact stroke recovery. Evidence-based strategies—CPAP, CBT-I, and rTMS—improve sleep and functional outcomes, though evidence heterogeneity exists. High-quality RCTs are needed to optimize individualized protocols.