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126,115 results for “Patients”
Effectiveness of prone positioning in non-intubated ICU patients with moderate to severe ARDS
<p><strong>Data and R code from the paper</strong></p> <p><em><strong>Effectiveness of prone positioning in non-intubated ICU patients with moderate to severe ARDS</strong></em></p> <p>Authors:</p> <p>Manuel Taboada, Ph.D. Mariana González, M.D. Antía Álvarez, M.D., Irene González, M.D, Javier García, M.D., María Eiras. M.D., María Diaz Vieito, M.D., Alberto Naveira, M.D., Pablo Otero, M.D., Olga Campaña, M.D., Ignacio Muniategui, M.D., Ana Tubio, M.D., Jose Costa, M.D., Salomé Selas, M.D., Agustín Cariñena, M.D., Adrián Martínez, M.D., Sonia Veiras, M.D. Ph.D, Francisco Aneiros, M.D., Valentín Caruezo, M.D., Aurora Baluja, M.D. Julian Alvarez, Ph.D<br> <br> <strong>Background</strong>:<br> In the treatment for severe ARDS from COVID-19, the WHO recommends prone positioning (PP) during mechanical ventilation for periods of 12-16 hours per day to potentially improve oxygenation and survival. In this prospective observational study we evaluated the ability of long PP sessions to improve oxygenation in awake ICU patients with moderate or severe ARDS due to COVID-19.</p> <p><strong>Methods</strong>:<br> The study was approved by the ethics committee of Galicia (code No. 2020-188), and all patients provided informed consent. In this case series, awake patients with moderate or severe ARDS by COVID-19 admitted to the ICU at University Hospital of Santiago from March 21 to April 5, 2020 were prospectively analyzed. Patients were instructed to remain in PP as long as possible and not stop until the they felt too tired to maintain that position. If needed, light sedation was administered. The following information were collected: StO2 and blood gases (PaO2, PaO2/FiO2, PaCO2, pH) in ICU admission, number and duration of PP sessions, StO2 and blood gases before, during and following a PP session, need of mechanical ventilation, duration of ICU admission and ICU outcome. Linear mixed effects models (LMM) were adjusted to estimate changes of oxygenation parameters from baseline,. Patients were added as a random effect to account for inter-patient random variability in their own baseline measurements.</p> <p><strong>Results</strong>:<br> Seven patients with moderate or severe ARDS by COVID-19 were included. All patients received at least one PP session. A total of 16 PP sessions were performed in the 7 patients during the period study. The median duration of PP sessions was 10 hours. For PP sessions of more than 4 hours, dexmedetomidine was used for sedation. Oxygenation increased in all sixteen sessions performed in the seven patients. Prone positioning was associated to a net increase from baseline in PaO2, PaO2/FiO2 and StO2 (65, mmHg 110 and 2.6% respectively) PaO2/FiO2 increased during PP (Δ PaO2/FiO2 110.42 mmHg [28.173; 192.67]) and after PP (37.75 [-1.57; 77.07] compared with previous supine position (baseline PaO2FiO2 median-IQR97.8 [97.2 – 99.4]). Two patients required intubation. Six patients were discharged from the ICU and one remains on mechanical ventilation.</p> <p><strong>Conclusions</strong>:<br> We found that PP improved oxygenation and may avoid intubation in ICU patients with COVID-19 and moderate or severe ARDS. PP was relatively well tolerated in our patients. and may be a simple strategy to improve oxygenation trying to reduce patients in mechanical ventilation and the length of stay in the ICU, especially in the COVID-19 pandemic.</p> <p><strong>GitHub repository</strong>:</p> <p>https://github.com/medicalc/prone_sars</p>
Analysis of the different approaches adopted in the Italian regions to care for patients affected by COVID-19
<p>The dataset reports the daily cumulative number of patients affected by COVID-19 from 24th of February to 29th of April 2020 gathered from the following website <a href="https://github.com/pcm-dpc/COVID-19">https://github.com/pcm-dpc/COVID-19</a>. Data are produced and published by the Italian Civil Protection Department. Excel was used to build a time-series sheet. Data were subsequently fitted on the basis of a logistic function to capture the onset of the different epidemic phases in each Italian region.</p>
ekoraytascilar/naturecommunicationscovid: Data and analysis code to accompany "Patients with immune-mediated inflammatory diseases receiving cytokine inhibitors have low prevalence of SARS-CoV-2 seroconversion"
<p>This release contains raw datasets and analysis code for the research paper titled "Patients with immune-mediated inflammatory diseases receiving cytokine inhibitors have low prevalence of SARS-CoV-2 seroconversion"</p>
Switch to second-line versus continued first-line antiretroviral therapy for patients with low-level HIV-1 viremia: an open-label randomized controlled trial in Lesotho
<p>These are pseudo-anonymised data from the SESOTHO randomised trial: "Switch to second-line versus WHO-guided standard of care for unsuppressed patients on first-line ART with viremia below 1000 copies/mL – a multicenter, parallel-group, open-label, randomized clinical study in rural Lesotho". There are two datasets, one containing baseline data (one row per participant) and one containing longitudinal viral load data (one row per participant per visit). The data dictionary explains the data available in each dataset. Between August 2017 and August 2019, 80 eligible and consenting participants were enrolled from eight health facilities in four districts of Lesotho, and followed up for nine months. The protocol was published, DOI: 10.1186/s12879-018-2979-y</p>
Outcomes and adverse events of pre- and extensively drug-resistant tuberculosis patients in Kinshasa, Democratique Republic of the Congo: retrospective cohort study
<p><strong>Abstract</strong></p> <p><strong>Background</strong>: Extensively drug-resistant tuberculosis (XDR TB) is a very serious form of tuberculosis that is burdened with a heavy mortality toll, especially before the advent of new TB drugs. The Democratic Republic of the Congo (DRC) is among the countries most affected by this new epidemic.</p> <p><strong>Methods:</strong> A retrospective analysis was performed of the records of all patients with pre- and extensively drug-resistant tuberculosis hospitalized from January 1, 2015 to December 31, 2017 and monitored for at least 6 months to one year after the end of their treatment in Kinshasa; an individualized therapeutic regimen with bedaquiline for 20 months was built for each patient. The adverse effects were systematically monitored.</p> <p><strong>Results:</strong> Of the 40 laboratory-confirmed patients, 32 (80%) patients started treatment, including 29 preXRB and 3 XDR TB patients. In the eligible group, 3 patients (9.4%) had HIV-TB coinfections. The therapeutic success rate was 53.2%, and the mortality rate was 46.8% (15/32); there were no relapses, failures or losses to follow-up. All coinfected HIV–TB patients died during treatment. The cumulative patient survival rate was 62.5% at 3 months, 53.1% at 6 months and 53.1% at 20 months. The most common adverse events were vomiting, Skin rash, anemia and peripheral neuropathy.</p> <p><strong>Conclusion: </strong>Bedaquiline based treatment improves patient survival in the DRC despite the still high mortality rate. The new anti-tuberculosis<br> drugs are a real hope for the management of Drug Resistant tuberculosis patient and other new therapeutic combinations may improve favorable outcomes.</p>
Data from: Antibacterial activity of graphene oxide nanosheet against multi drug resistant superbugs isolated from infected patients
Graphene oxide (GO) is a derivative of graphene nanosheet which is the most promising material of the decade in biomedical research. In particular, it has been known as an antimicrobial nanomaterial with good biocompatibility. In this study, we have synthesized and characterize GO and checked its antimicrobial property against different Gram-negative and Gram-positive multi drug resistant (MDR) hospital superbugs grown in solid agar-based nutrient plates with and without human serum through the utilization of agar well diffusion method, live/dead fluorescent staining and genotoxicity analysis. The main focus of the antimicrobial activity analysis is to distinguish the killing performance of GO in artificial and blood containing media because after injection into the bloodstream the activity of GO may be modified by adsorption of blood proteins or other biomolecules. No significant changes in antibacterial activity were found in these two different conditions. We also compare the bactericidal capability of GO with some commonly administrated antibiotics and in all cases the degree of inhibition is found to be higher. The data presented here are novel and show that GO is an effective bactericidal agents against different superbugs and can be used as a future antibacterial agent.
Simplified Event Logs for Sepsis Patient Trajectories
<p>This dataset contains a simplified excerpt from a real event log that tracks the trajectories of patients admitted to a hospital to be treated for sepsis, a life-threatening condition. The log has been recorded by the Enterprise Resource Planning of the hospital. Additionally, the dataset contains three synthetic logs that increase the number of trajectories within the original log timespan, while maintaining other statistical characteristics.</p> <p>In total, the dataset contains four files in .zip format and a companion that describes the statistical method used to synthesize the logs as well as the dataset content in detail. The dataset can be used in testing the performance of event-based process-mining and log (runtime) monitoring tools against an increasing load of events.</p>
Data from: K-13 Propeller gene polymorphisms isolated between 2014 and 2017 from Cameroonian Plasmodium falciparum malaria patients
The emergence of artemisinin-resistant parasites since the late 2000s at the border of Cambodia and Thailand poses serious threats to malaria control globally, particularly in Africa which bears the highest malaria transmission burden. This study aimed to obtain reliable data on the current state of the kelch13 molecular marker for artemisinin resistance in Plasmodium falciparum in Cameroon. DNA was extracted from the dried blood spots collected from epidemiologically distinct endemic areas in the Center, Littoral and North regions of Cameroon. Nested PCR products from the Kelch13-propeller gene were sequenced and analyzed on an ABI 3730XL automatic sequencer. Of 219 dried blood spots, 175 were sequenced successfully. We identified six K13 mutations in 2.9% (5/175) of samples, including 2 non-synonymous, the V589I allele had been reported in Africa already and one new allele E612K had not been reported yet. These two non-synonymous mutations were uniquely found in parasites from the Littoral region. One sample showed two synonymous mutations within the kelch13 gene. We also observed two infected samples with mixed K13 mutant and K13 wild-type infection. Taken together, our data suggested the circulation of the non-synonymous K13 mutations in Cameroon. Albeit no mutations known to be associated with parasite clearance delays in the study population, there is need for continuous surveillance for earlier detection of resistance as long as ACTs are used and scaled up in the community.
Comfort and wearability of orthodontic mouthguards during contact sports in adolescent patients undergoing fixed appliance orthodontic treatment: a randomised clincal trial
<p>Dataset for all analyses in the paper</p>
A comparative assessment of the dentoskeletal effects of clear aligners versus miniplate-supported posterior intrusion with fixed appliances in adult anterior open bite patients. A multi-centre, retrospective cohort study.
<p>In this retrospective study, the aim was to evaluate the dentoskeletal effects of clear aligner treatment (Invisalign®) versus miniplate-supported posterior intrusion (MSPI) in adults with anterior open bite.</p>
Randomized trial of AKI alerts in hospitalized patients
<p><b>Objective: </b>To determine whether electronic health record (EHR) alerts for Acute Kidney Injury (AKI) would improve patient outcomes of mortality, dialysis and progression of AKI. </p> <p><b>Design: </b>Double-blinded, multicenter, parallel, randomized, controlled trial of an electronic AKI alert versus usual care (no alert). Participants were electronically identified and randomized via a best practice alert build using simple randomization with allocation concealment.</p> <p><b>Setting:</b> Six diverse hospitals (four teaching and two non-teaching) ranging from small community hospitals to large tertiary care centers.</p> <p><b>Participants:</b> 6,030 adult inpatients with AKI, as defined by the Kidney Disease: Improving Global Outcomes (KDIGO) creatinine criteria.</p> <p><b>Interventions:</b> An EHR-based "pop-up" alert for AKI with an associated AKI order set upon provider opening of the patient's medical record.</p> <p><b>Main Outcome Measures: </b>A composite of AKI progression, receipt of dialysis, or death within 14 days of randomization. Pre-specified secondary outcomes included per-hospital outcome rates and rates of various AKI care practices. </p> <p><b>Results: </b>6,030 patients were randomized over 22 months. The primary outcome occurred in 653 (21.4%) patients in the alert group and 622 (20.9%) in the usual care group (relative risk 1.02, 95% confidence interval [CI] 0.93 to 1.13, p=0.67). Per-hospital analysis revealed worse outcomes in the two non-teaching hospitals (N=765, 13%), where alerts were associated with a relative risk of the primary outcome of 1.49 (95% CI, 1.12 to 1.98, p=0.006). More deaths (15.6% in the alert group vs. 8.6% in the usual care group) occurred at these centers (p=0.003). Certain AKI care practices were increased in the alert group but did not appear to mediate these outcomes.</p> <p><b>Conclusions: </b>Alerts did not reduce rates of our primary outcome among hospitalized patients with AKI. The overall lack of clinical benefit and signals of harm in non-teaching hospitals should lead to a re-evaluation of existing AKI alerting systems.</p> <p><b>Trial Registration: </b>ClinicalTrials.gov NCT02753751.</p>
Patient-reported physical functioning of critical illness survivors 1-year after ICU-admission
<p>Dataset for manuscript: "Patient-reported physical functioning is limited in almost half of critical illness survivors 1-year after ICU-admission: a retrospective single-centre study"</p>
Single-cell immune repertoire sequencing of two convalescent COVID-19 patients
<p>Single-cell immune repertoire sequencing of two convalescent COVID-19 patients using 10x genomics 5' immune profiling. Resulting output files are from the count and vdj functions from 10x genomic's cellranger v3.1.0. </p>
The Clinical Significance of Serum p53 Antibody Levels in Patients with Oral Squamous Cell Carcinoma in Japanese Clinical Practice
<p>Supplementary Figure S1. Serum anti-p53 antibody titers in each clinical stage.<br> Supplementary Table S1. The change of Ap53Ab titer in patients with OSCC after surgery.</p>
Longitudinal proteomic profiling of high-risk patients with COVID-19 reveals markers of severity and predictors of fatal disease
<p>End-stage kidney disease (ESKD) patients are at high risk of severe COVID-19. We performed dense serial blood sampling in hospitalised and non-hospitalised ESKD patients with COVID-19 (n=256 samples from 55 patients) and used Olink immunoassays to measure 436 circulating proteins. Comparison to 51 non-infected ESKD patients revealed 221 proteins differentially expressed in COVID-19, of which 69.7% replicated in an independent cohort of 46 COVID-19 patients. 203 proteins were associated with clinical severity scores, including IL6, markers of monocyte recruitment (e.g. CCL2, CCL7), neutrophil activation (e.g proteinase-3) and epithelial injury (e.g. KRT19). Random Forests machine learning identified predictors of current or future severity such as KRT19, PARP1, PADI2, CCL7, and IL1RL1 (ST2). Survival analysis with joint models revealed 69 predictors of death including IL22RA1, CCL28, and the neutrophil-derived chemotaxin AZU1 (Azurocidin). Finally, longitudinal modelling with linear mixed models uncovered 32 proteins that display different temporal profiles in severe versus non-severe disease, including integrins and adhesion molecules. Our findings point to aberrant innate immune activation and leucocyte-endothelial interactions as central to the pathology of severe COVID-19. The data from this unique cohort of high-risk individuals provide a valuable resource for identifying drug targets in COVID-19.</p>
Pretreatment Neutrophil-to-Lymphocyte Ratio, Mutational Load, and Outcomes in Patients Treated with Immune Checkpoint Inhibitors
<p>This dataset has been used to analyze the association between pre-treatment neutrophil-to-lymphocyte ratio and tumour mutational burden with survival and response to treatment in immunotherapy-treated patients with cancer. The dataset contains clinical and genomic data for 2,037 patients with 18 cancer types.</p>
Endurance and Avoidance Response Patterns in Pain Patients: Application of Action Control Theory in Pain Research
<p>Identifying pain-related response patterns and understanding underlying functional mechanisms of symptom formation and recovery are essential steps for tailoring interventions to increase the effectiveness of treatment. The focus of this study thus was to replicate pain-related avoidance and endurance response patterns associated with the Fear-Avoidance Model (FAM) and Avoidance-Endurance Model (AEM) by means of latent profile analysis. Apart from the analysis of primary and other secondary characteristics of the pain response profiles, we especially analyzed the influence of stress and action control as covariates in accordance with Action Control Theory (ACT).</p>
GUT MICROBIOME COMPOSITION IN ALZHEIMER'S DEMENTIA PATIENTS: REPORT FROM PILOT STUDY IN KAZAKHSTAN
<p>Sequencing raw data of microbiome in fastq format</p>
Annotated and classified variants from patients with MDS/AML detected in seven public datasets
<p>990 unique validated variants from patients with MDS/AML detected in seven public datasets (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA388411). Databases and web services were accessed for variant annotation and classification on September 7, 2020.</p>
Data from: 1970s and 'Patient 0' HIV-1 genomes illuminate early HIV/AIDS history in North America
The emergence of HIV-1 group M subtype B in North American men who have sex with men was a key turning point in the HIV/AIDS pandemic. Phylogenetic studies have suggested cryptic subtype B circulation in the United States (US) throughout the 1970s1, 2 and an even older presence in the Caribbean2. However, these temporal and geographical inferences, based upon partial HIV-1 genomes that postdate the recognition of AIDS in 1981, remain contentious3, 4 and the earliest movements of the virus within the US are unknown. We serologically screened >2,000 1970s serum samples and developed a highly sensitive approach for recovering viral RNA from degraded archival samples. Here, we report eight coding-complete genomes from US serum samples from 1978–1979—eight of the nine oldest HIV-1 group M genomes to date. This early, full-genome 'snapshot' reveals that the US HIV-1 epidemic exhibited extensive genetic diversity in the 1970s but also provides strong evidence for its emergence from a pre-existing Caribbean epidemic. Bayesian phylogenetic analyses estimate the jump to the US at around 1970 and place the ancestral US virus in New York City with 0.99 posterior probability support, strongly suggesting this was the crucial hub of early US HIV/AIDS diversification. Logistic growth coalescent models reveal epidemic doubling times of 0.86 and 1.12 years for the US and Caribbean, respectively, suggesting rapid early expansion in each location3. Comparisons with more recent data reveal many of these insights to be unattainable without archival, full-genome sequences. We also recovered the HIV-1 genome from the individual known as 'Patient 0' (ref. 5) and found neither biological nor historical evidence that he was the primary case in the US or for subtype B as a whole. We discuss the genesis and persistence of this belief in the light of these evolutionary insights.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.