Find research datasets worth reusing

A Study of the Neurological Effects of Adding Maraviroc to HAART Regimen in Patients With HIV (HANDmac)

ClinicalTrials.gov study NCT01449006. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Weaning From Mechanical Ventilation in Neurological Patients

ClinicalTrials.gov study NCT03128086. IPD Sharing: NO. Countries: 1. Publications: 1.

The MENDS2 Study, Maximizing the Efficacy of Sedation and Reducing Neurological Dysfunction and Mortality in Septic Patients With Acute Respiratory Failure

ClinicalTrials.gov study NCT01739933. IPD Sharing: Not stated. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →

Neurologic Evaluation of Patients After Transapical Beating-Heart Septal Myectomy

ClinicalTrials.gov study NCT06078410. IPD Sharing: YES. Countries: 1. Publications: 1.

A Study Evaluating Oxybutynin in Patients With Neurogenic Overactive Bladder Associated With a Neurological Condition

ClinicalTrials.gov study NCT00224029. IPD Sharing: Not stated. Countries: 1. Publications: 1.

opencc-zeroJun 2021View details →

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Global & Community Health: Implementation of and patient satisfaction with the first neurologic telemedicine program in Mexico during COVID-19

Since the coronavirus disease 2019 (COVID-19) pandemic outbreak, due to the large number of patients requiring in-hospital care, hospitals worldwide were converted into COVID-19 referral centers. In addition, as part of the mitigation strategies besides social distancing and mandatory use of facemasks, other measures to reduce the risk of infection among healthcare workers such as increasing the time between work shifts and sending high-risk personnel to in-home isolation were taken, leading to a significantly reduced workforce, requiring relocation of medical personnel from multiple specialties to the frontline. By April 2020, due to the reduction of medical and administrative staff in addition to the steadily increasing number of patients, our center decided to stop all face-to-face non-COVID-19 consultations. Therefore, we decided to adapt to the challenges and started researching how to implement a teleneurology program to re-open our neurology continuity clinic. Here, we describe our experience developing and implementing a teleneurology program in Mexico and patient satisfaction with our program. To assess patient satisfaction and quality of the healthcare received, at the end of the consultations, to those who had internet access, we sent via e-mail or text message an anonymous 24-question online-based questionnaire (modified for the COVID-19 pandemic) developed and validated for the Spanish-speaking population. We included 304 patients. The most common neurologic disorders we attended were neuromuscular disorders in 33.6% of patients, headache disorders in 32.9%, epilepsy in 11.5%, cerebrovascular diseases in 5.9%, and movement disorders in 5.6%. None of the patients required an in-person visit. Of the 304 patients, only 125 (41%) answered the survey, 86.4% preferred teleneurology instead of an in-person consultation, 83.3% (90/108) of them because of concerns about getting COVID-19; 92% completely agree that they felt comfortable when talking to the neurologist through a camera and a microphone; 96% reported being satisfied with their consultation; 87.2% completely agree in trusting that their privacy would be protected. However, 4% were not satisfied, but their reasons were not specified. Our findings suggest that telemedicine is a feasible and acceptable option to continue with neurological patient care during the COVID-19 pandemic.

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Assessment of insight in hospitalized neurological patient: Cognitive profile and mood disorder

Purpose:Many studies have evaluated the characteristics of insight, especially in psychiatric patient pop-ulations. However, this construct has been poorly examined within neurological disorders. We exploredthe relationship between altered insight, mood disorders and neurocognitive functioning in a sample ofpatients admitted to a neurological rehabilitation unit.Method:Each patient, at the time of hospitalization (T0), underwent an evaluation of the overall cogni-tive profile, of the frontal functions, and the compilation of scales aimed at investigating the 4 domainsunder examination of insight and anxiety-depressive symptomatology. After 3 months (T1), at the end ofthe rehabilitative and supportive treatment, the patients underwent the same evaluation performed atT0.Results:Our results showed significant differences between T0 and T1 in the variables examined relatedto insight. In particular, there was a correlation between the global cognitive profile, including executivefunctions, and all insight domains. This confirms how the degree of cognitive deficit, especially of exec-utive type, affects all levels of awareness of the individual.We have also found correlations between mood disorders and insight. In particular, our results showthat depression versus anxiety plays a fundamental role in a person’s awareness.Conclusions:The study of insight is fundamental not only for the relapses it could have on the patient, butalso on those to health care professionals. In fact, having an adequate insight could lead to a greater moti-vation of the patient to be more complimentary to pharmacological and rehabilitative therapies, alsofavoring social reintegration.

opencc-by-4.0Jul 2020View details →

zenodo32/100

Data for dissertation titled 'Topic modelling for the stratification of neurological patients'

The uploaded zip-file entails the data needed for and obtained through the dissertation titled 'Topic modelling for the stratification of neurological patients' as part of the programme 'MSc. in Statistical Data Analysis' at Ghent University. The study aimed at exploring the applicability of hierarchical stochastic block models on resting-state functional magnetic resonance imaging (RS-fMRI) to cluster participants with known neurological disorders. The data is structured in different folders and aligns with the folder structure of the GitHub-repository that contains the analysis scripts (https://github.com/wvechelp/hsbm_on_fmri). The GitHub-repository already covers some example data, while additional data and results can be found in this zip-file. Additional comments on the analyses are also provided in the analysis scripts. The original raw data is obtained through the OpenFMRI project (<a href="http://openfmri.org/">http://openfmri.org/</a>, with label ds000030) and as a Stanford Digital Repository (<a href="https://purl.stanford.edu/mg599hw5271">https://purl.stanford.edu/mg599hw5271</a>) (Bilder et al., 2016). It is obtained from the NIH Roadmap Initiative, as a result of the Consortium for Neuropsychiatric Phenomics (CNP) study (Poldrack et al., 2016). Throughout the study, data was collected through interviews and rating scales, self-report measures, neurocognitive exams (using both paper-pencil and computerised tests), and a variety of neuroimaging data. More specific information on the selection procedure of the participants can be found in the description of the data (Bilder et al., 2016) and the associated article (Poldrack et al., 2016). Among the available neuroimaging data, the RS-fMRI data have been collected by asking participants to remain relaxed, while keeping their eyes open (with scans lasting 304 s and an image being collected every 2 seconds (Poldrack et al., 2016)). This raw data was pre-processed by Rasero et al. (2019) to correct for motion and temporal alignment. Smoothing (6-mm full width at half-maximum Gaussian kernel), intensity normalisation, and a band-pass filter (between 0.01 and 0.08 Hz) were applied prior to the removal of linear and quadratic trends. Motion time courses, average CSF signal, and the average white matter signal were regressed out prior to data transformation into voxels with a volume of 3 mm x 3 mm x 3 mm. Ultimately, the functional atlas of Shen et al. (2013) was used to average the voxel signals per anatomical region of interest (ROI), resulting in a parcellation of 278 ROIs (and associated time series consisting of 152 measurements). From these ROI-specific time series, Rasero et al. (2019) generated 278 x 278 matrices with Pearson coefficients. References: Bilder, R. M., Poldrack, R. A., Cannon, T., London, E., Freimer, N., Congdon, E., Karlsgodt, K., & Sabb, F. W. (2016). UCLA Consortium for Neuropsychiatric Phenomics LA5c Study Stanford Digital Repository. <a href="http://purl.stanford.edu/mg599hw5271">http://purl.stanford.edu/mg599hw5271</a> and <a href="https://openfmri.org/dataset/ds000030/">https://openfmri.org/dataset/ds000030/</a> Poldrack, R. A., Congdon, E., Triplett, W., Gorgolewski, K. J., Karlsgodt, K. H., Mumford, J. A., Sabb, F. W., Freimer, N. B., London, E. D., Cannon, T. D., & Bilder, R. M. (2016). A phenome-wide examination of neural and cognitive function. Scientific Data, 3(1), 160110. <a href="https://doi.org/10.1038/sdata.2016.110">https://doi.org/10.1038/sdata.2016.110</a> Rasero, J., Diez, I., Cortes, J. M., Marinazzo, D., & Stramaglia, S. A.-O. (2019). Connectome sorting by consensus clustering increases separability in group neuroimaging studies. Network Neuroscience, 3(2), 325-343. <a href="https://doi.org/https:/doi.org/10.1162/netn_a_00074">https://doi.org/https://doi.org/10.1162/netn_a_00074</a> Shen, X., Tokoglu, F., Papademetris, X., & Constable, R. T. (2013). Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. NeuroImage, 82, 403-415. <a href="https://doi.org/https:/doi.org/10.1016/j.neuroimage.2013.05.081">https://doi.org/https://doi.org/10.1016/j.neuroimage.2013.05.081</a>

opencc-by-4.0Dec 2022View details →

Cohort of Patients With Covid-19 Presenting Neurological or Psychiatric Disorders (CoCo-Neurosciences)

ClinicalTrials.gov study NCT04362930. IPD Sharing: NO. Countries: 1. Publications: 1.

A Study of Dementia and Neurological Problems in HIV Infected Patients Who Are Participating in ACTG A5175

ClinicalTrials.gov study NCT00096824. IPD Sharing: Not stated. Countries: 5. Publications: 9.

Plasma Neutrophil Gelatinase-associated Lipocalin (NGAL) as Early Biomarker for Renal Dysfunction and Good Neurologic Outcome in Out of Hospital Cardiac Arrest Patients

ClinicalTrials.gov study NCT01987466. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Effect of Recombinant Human EPO on the Postoperative Neurologic Outcome in Pediatric Moyamoya Patients

ClinicalTrials.gov study NCT03882060. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.

25(OH)-Vitamin D and Its Association With Structural and Functional Parameters in Hospitalized Patients With Neurological Diseases

ClinicalTrials.gov study NCT06791044. IPD Sharing: NO. Countries: 1. Publications: 3.

Risk Factors of POCD in General Anesthesia Patients Underwent Noncardiac and Non Neurological Procedures.

ClinicalTrials.gov study NCT04215263. IPD Sharing: NO. Countries: 1. Publications: 5.

Detection and Neurological Impact of Cerebrovascular Events in Cardiac Surgery Patients

ClinicalTrials.gov study NCT04241289. IPD Sharing: NO. Countries: 1. Publications: 8.

Artificial Intelligence Analysis of Initial Scan Evolution of Traumatic Brain Injured Patient to Predict Neurological Outcome

ClinicalTrials.gov study NCT04058379. IPD Sharing: NO. Countries: 1. Publications: 1.

Health, Economic Analysis and Clinical Aspects of Patients With Neurological Disabilities in Enteral Nutrition With Dedicated Formula. The Role of Nissen's Fundoplication in the Management of Gastroes

ClinicalTrials.gov study NCT05068089. IPD Sharing: NO. Countries: 1. Publications: 6.

Neurological Impact of Vascular Events In Noncardiac Surgery patIents cOhort evaluatioN Pilot Study

ClinicalTrials.gov study NCT01369537. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Detection and Neurological Impact of CerebroVascular Events In Noncardiac Surgery PatIents: A COhort EvaluatioN

ClinicalTrials.gov study NCT01980511. IPD Sharing: Not stated. Countries: 9. Publications: 6.

Effectiveness of a Treatment Plan of Neurological Physiotherapy in Conjunction With Ultrasound-guided Ultrasound-guided Dry Needling in Stroke Patients.

ClinicalTrials.gov study NCT05230849. IPD Sharing: NO. Countries: 1. Publications: 10.