Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,658
datasets available to search
ShareScore release 0.9.0
Dataset results
1,658 results for “Sepsis”
Data for: Weak sex-specific evolution of locomotor activity of Sepsis punctum (Diptera: Sepsidae) thermal experimental evolution lines
Open the record for dataset details and reuse information.
Data from: Disruptive sexual selection on body size in the polyphenic black scavenger fly Sepsis thoracica
Sexual selection has two main components, female preference and male-male competition, which can lead males to adopt alternative reproductive tactics to optimize their reproductive success. Two traits that significantly influence reproductive success are body size and coloration, as they can facilitate access to females through male contests or as female attractors. We investigated whether, and if so which mechanism of sexual selection contributes to the maintenance, and possibly even the establishment, of two almost discrete male morphs in the polyphenic black scavenger fly Sepsis thoracica (Diptera: Sepsidae): small and black, or large and amber. We performed two complementary laboratory experiments to evaluate the mating success of the different male morphs and the behaviors (of both males and females) presumably mediating their mating success. We found evidence for intraspecific disruptive sexual selection on male body size that is mediated by male-male interactions, and significant positive directional selection on body size that interacted with (directional) selection on coloration, likely contributing to the origin and/or maintenance of the threshold relationship between the two traits in this species. The simultaneous occurrence of disruptive selection and polyphenism in S. thoracica supports the role of sexual selection in the intraspecific diversification of coupled traits (here body size and coloration), which could be a speciation starting point.
Data from: Sepsis surveillance: an examination of parameter sensitivity and alert reliability
Objective: To examine performance of a sepsis surveillance system in a simulated environment where modifications to parameters and settings for identification of at-risk patients can be explored in-depth. Materials and Methods: This was a multiple center observational cohort study. The study population comprised 14 917 adults hospitalized in 2016. An expert-driven rules algorithm was applied against 15.1 million data points to simulate a system with binary notification of sepsis events. Three system scenarios were examined: a scenario as derived from the second version of the Consensus Definitions for Sepsis and Septic Shock (SEP-2), the same scenario but without systolic blood pressure (SBP) decrease criteria (near SEP-2), and a conservative scenario with limited parameters. Patients identified by scenarios as being at-risk for sepsis were assessed for suspected infection. Multivariate binary logistic regression models estimated mortality risk among patients with suspected infection. Results: First, the SEP-2-based scenario had a hyperactive, unreliable parameter SBP decrease >40 mm Hg from baseline. Second, the near SEP-2 scenario demonstrated adequate reliability and sensitivity. Third, the conservative scenario had modestly higher reliability, but sensitivity degraded quickly. Parameters differed in predicting mortality risk and represented a substitution effect between scenarios. Discussion: Configuration of parameters and alert criteria have implications for patient identification and predicted outcomes. Conclusion: Performance of scenarios was associated with scenario design. A single hyperactive, unreliable parameter may negatively influence adoption of the system. A trade-off between modest improvements in alert reliability corresponded to a steep decline in condition sensitivity in scenarios explored.
Data from: Are patients with cancer with sepsis and bacteraemia at a higher risk of mortality? A retrospective chart review of patients presenting to a tertiary care centre in Lebanon
Objective: Most sepsis studies have looked at the general population. The aim of this study is to report on the characteristics, treatment and hospital mortality of patients with cancer diagnosed with sepsis or septic shock. Setting: A single-centre retrospective study at a tertiary care centre looking at patients with cancer who presented to our tertiary hospital with sepsis, septic shock or bacteraemia between 2010 and 2015. Participants: 176 patients with cancer were compared with 176 cancer-free controls. Primary and secondary outcomes: The primary outcome of this study was the in hospital mortality in both cohorts. Secondary outcomes included patient demographics, emergency department (ED) vital signs and parameters of resuscitation along with laboratory work. Results: A total of 352 patients were analysed. The mean age at presentation for the cancer group was 65.39±15.04 years, whereas the mean age for the control group was 74.68±14.04 years (p<0.001). In the cancer cohort the respiratory system was the most common site of infection (37.5%) followed by the urinary system (26.7%), while in the cancer-free arm, the urinary system was the most common site of infection (40.9%). intravenous fluid replacement for the first 24 hours was higher in the cancer cohort. ED, intensive care unit and general practice unit length of stay were comparable in both the groups. 95 (54%) patients with cancer died compared with 75 (42.6%) in the cancer-free group. The 28-day hospital mortality in the cancer cohort was 87 (49.4%) vs 46 (26.1%) in the cancer-free cohort (p=0.009). Patients with cancer had a 2.320 (CI 95% 1.225 to 4.395, p=0.010) odds of dying compared with patients without cancer in the setting of sepsis. Conclusions: This is the first study looking at an in-depth analysis of sepsis in the specific oncology population. Despite aggressive care, patients with cancer have higher hospital mortality than their cancer-free counterparts while adjusting for all other variables.
Data from: An investigation of sepsis surveillance and emergency treatment on patient mortality outcomes: an observational cohort study
Objective. To determine the prevalence of initiating the sepsis 3-hour bundle of care and estimate effects of bundle completion on risk-adjusted mortality among ED patients screened-in by electronic surveillance. Materials and Methods. This was a multiple center observational cohort study conducted in 2016. The study population was comprised of patients screened-in by St. John Sepsis Surveillance Agent within four hours of ED arrival, had a sepsis bundle initiated, and admitted to hospital. We built multivariable logistic regression models to estimate impact of a 3-hour bundle completed within three hours of arrival on mortality outcomes. Results. Approximately 3% ED patients were screened-in by electronic surveillance within four hours of arrival and admitted to hospital. Nearly 7 in 10 (69%) patients had a bundle initiated, with most bundles completed within three hours of arrival. The fully-adjusted risk model achieved good discrimination on mortality outcomes (AUROC = .82, 95% CI = .79 to .85) and estimated 34% reduced mortality risk among patients with a bundle completed within three hours of arrival compared to non-completers. Discussion. The sepsis bundle is an effective intervention for many vulnerable patients, and likely to be completed within three hours after arrival when electronic surveillance with reliable alert notifications are integrated into clinical workflow. Beginning at triage, the platform and sepsis program enables identification and management of patients with greater precision, and increases the odds of good outcomes. Conclusion. Sepsis surveillance and clinical decision support accelerate accurate recognition and stratification of patients, and facilitate timely delivery of healthcare.
Data from: Climatic factors shape plastic trade-offs in the polyphenic black scavenger fly Sepsis thoracica (Diptera: Sepsidae)
Aim: Trade-offs allow individuals to optimize their fitness by tailoring the investment into different traits to variable environmental conditions, such as along geographic gradients. Trade-offs thus can help in adjusting to changing thermal and insolation profiles, especially in small ectotherms, whose body temperature typically follows environmental temperatures closely. Two traits usually involved in latitudinal adaptation are body size and melanism. Since both traits are costly, individuals need to optimize investment into each trait. Here we studied how environmental factors influence this trade-off in the short and long term. Location: Europe Methods: We raised flies from 15 latitudinal populations at three constant temperatures in a laboratory common garden to differentiate plastic and evolutionary responses to temperature. We further analysed how the different insolation components of the populations' habitats influenced the evolution of the trade-off. Results: Male Sepsis thoracica (Diptera: Sepsidae) feature a sigmoid relationship between melanism and body size, defining two strikingly different male morphs: obsidian (small and black) and amber (large and orange). This relationship was altered by the developmental temperature, documenting its plasticity. The relationship further evolved across populations in response to the environmental characteristics of their habitat, notably temperature, insolation and UV radiation, suggesting that plasticity also has an underlying genetic basis. Nevertheless, melanism, but not body size, merely slightly increased with latitude. Main Conclusions: As the plastic and evolutionary responses of the relationship to temperature differed, plasticity does not necessarily follow the direction of evolution of this trade-off, but rather adds to it. Our study evinces the role of several environmental factors in shaping the evolution of a plastic melanism – body size relationship defining a rare male polymorphism in temperate sepsid flies.
Translucent Event Logs based on the Sepsis Event Log and the Inductive Miner - infrequent
<p>The translucent events logs in this file are based on the Sepsis Event Log (https://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639/1) published by Felix Mannhardt. The folders' name specify the threshold setting of the Inductive Miner - infrequent (0.4, 0.6, and 0.8). Details on the generation can be found in https://doi.org/10.1007/978-3-031-70396-6_9.</p>
Basic laboratory and extended hematological parameters and intensive care unit mortality in sepsis patients
Open the record for dataset details and reuse information.
The mortality risk factor of severe community-acquired pneumonia (SCAP) patients with Sepsis: a retrospective study
<p><strong><span>Objectives:</span></strong><span> Sepsis is one of the most common comorbidities in severe community-acquired pneumonia (SCAP) patients. We aimed to investigate the characteristics and mortality risk factors of SCAP patients hospitalized with Sepsis.</span></p> <p><strong><span>Design:</span></strong><span> A retrospective, single-centre study.</span></p> <p><strong><span>Setting:</span></strong><span> This study was conducted at a tertiary hospital in Southern China.</span></p> <p><strong><span>Participants:</span></strong><span> A total of 119 patients with SCAP, aged 17 years or older, were treated in the Integrated intensive care unit from 1 January 2018 to 30 December 2020.</span></p> <p><strong><span>Interventions:</span></strong><span> none.</span></p> <p><strong><span>Outcome:</span></strong><span> 180-day mortality was the primary outcome.</span></p> <p><span><strong>Results:</strong></span><span> 119 patients were divided into the survivors (83 patients,69.75%), and the non-survivors (36 patients,30.25%). There are more pronounced inflammatory responses and respiratory problems at the beginning of the disease in non-survivors, requiring stronger respiratory and circulatory support.</span> <span>The CURB-65 score was a better predictor of mortality than the PSI and APACHE2 scores, AUCs of CURB-65: OR 0.744, p<0.005.</span> <span>For the entire treatment cycle, the non-survivors had a longer duration of persistent fever, required continuous and repeated airway intervention, and a longer duration of Vasopressor support (P<0.001). SCAP with bacterial infection as the onset, </span><span>or secondary bacterial infection had a poor prognosis (P=0.018). The non-survivors had more use of different types of antimicrobials (P<0.05), because of Multidrug-resistant (MDR) organisms. And have faced more antifungal treatment failures (P=0.006). The</span> <span>mortality risk factors were comorbid with a duration of Vasopressors support, duration of persistent fever, age, numbers of antimicrobials for MDR organisms, CURB-65 score and duration of Neuromuscular Blocking Agents (NMBAs) (OR=1.234, OR=1.158, OR=1.084, OR=6.484, OR=3.386, OR=1.505, p<0.005, respectively).</span></p> <p><strong><span>Conclusion:</span></strong><span> Dynamic monitoring of the duration of patients' abnormal indicators can help predict the prognosis. Age≥65.5 years, fever duration ≥9.5 days, number of antimicrobials</span> <span>for MDR organisms ≥2 types</span><span>, longer NMBAs and Vasopressors use, and higher CURB-65 score were mortality risk factors in SCAP-Sepsis patients.</span></p>
A Novel Quantitative Approach to Immune Condition in Sepsis
<p><span>This study investigates the immune condition in sepsis by analyzing the quantitative relationships among white blood cells, lymphocytes, and neutrophils in a total of <strong><span>512</span></strong><span> </span>samples, including <strong><span>180</span></strong><span> </span>sepsis patients and 205 healthy controls. The key formula identified,<span> </span><span>WBC = 1.</span></span><span>098</span><span> × Neutrophils + 1.04</span><span>6</span><span> × Lymphocytes + 0.</span><span>1645</span><span> (RMSE: 0.</span><span>5</span><span>%),</span><span> is universally applicable to all samples, despite differences in their spatial distributions. Self-organizing feature map (SOFM) was employed to automatically cluster the sepsis sample data in the three-dimensional space represented by this formula, yielding different immune states. This study provides a novel approach to understanding the immune condition in sepsis.</span></p>
Artificially intelligent nasal perception for rapid sepsis diagnostics
<p>Paper Title: Artificially intelligent nasal perception for rapid sepsis diagnostics</p> <p>Datasets Used in RSboost Hybrid Algorithm</p> <p>- List of Datasets</p> <p>1) Training set</p> <p>* 1000-0,0,10.csv<br>* 1000-0,10,0.csv<br>* 1000-10,0,0.csv<br>* Training set data.avi<br>* Training set data_2.avi<br>* Training set data_3.avi</p> <p>2) Blind test set</p> <p>* Bloodtest data.avi<br>* Blind test_1 (blood).csv<br>* Blind test_2 (blood).csv<br>* Blind test_3 (blood).csv<br>* Blind test_4 (blood).csv<br>* Blind test_5 (blood).csv</p>
Immune Condition in Sepsis-ICMx
<p>The proposed mathematical model, represented by the equation above, reveals a basic constraint boundary on the immune cell populations in both sepsis patients and healthy controls. Furthermore, the SOFM clustering approach provides a comprehensive overview of the distinct immune states observed within this constraint boundary in sepsis patients. This study lays the foundation for future work on quantifying and categorizing the immune condition in sepsis, which may ultimately contribute to the development of more objective diagnostic and treatment strategies.</p>
Data from: Viability selection by invertebrate predators in the polyphenic scavenger fly Sepsis thoracica
Predation is a major factor influencing the fitness and life history of animals. Two key traits affecting prey survival are body size and coloration. Sepsis thoracica males display a sigmoid relationship between these two traits, defining a size threshold above which investment in melanin drastically drops, producing small melanic (black) or large amber morphs. In trying to understand the evolution of this rare dimorphism, we performed laboratory predation experiments to estimate the intensity of adult viability selection exerted by various arthropod predators (bugs, flies, spiders) on male body size and coloration. Selection was performed against two different backgrounds mimicking the natural habitat (dung and grass) in which the camouflage and/or warning effect of the morphs should vary. Body size was mainly under positive selection (larger survived better), which overpowered selection on coloration and varied somewhat among predator species but not backgrounds. No disruptive selection was found, nor did selection change the sigmoid relationship between the two traits. We conclude that, for this fly, predator evasion and escaping skills determined by body size are more effective against invertebrate predators than its conspicuousness determined by coloration, contrasting what has been found for vertebrate predators, where prey coloration is important and negative selection on size dominates. Because arthropod predators have strong effects on insect populations, the positive directional selection imposed by invertebrate predators is likely an important force driving the evolution of body size in S. thoracica and insects in general.
A Method for Differentiating Sepsis and Septic Shock Based on Phenylalanine Hydroxylase and Lactate Dehydrogenase Activity
<p>The present method relates to improving the prognosis, diagnosis, and treatment of sepsis and septic shock. Despite the availability of advanced treatment, sepsis, and septic shock have the highest mortality in the intensive care unit (ICU). Theories suggested that hyperinflammation is a major characteristic of septic shock, but oxidative stress plays a major role in disease pathogenesis. Nuclear Magnetic Resonance (NMR) spectroscopy-based quantitative assessment of metabolites was performed to compare the activity of lactate dehydrogenase and phenylalanine hydroxylase between sepsis, septic shock, and disease control in sepsis and septic shock by comparing pyruvate/lactate (Pyr/Lac) and phenylalanine/tyrosine (Phe/Tyr) ratios. These ratios were evaluated and found to be used as an effective tool for diagnosis, prognosis, evaluation of disease activity, and treatment response.</p> <p> </p>
Soluble Urokinase Plasminogen Activator Receptor (suPAR) in Late-onset Neonatal Sepsis
ClinicalTrials.gov study NCT01294865. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Correlation Between PTP1B Expression and Organ Failure During Sepsis
ClinicalTrials.gov study NCT02295514. IPD Sharing: Not stated. Countries: 1. Publications: 6.
A Trial of Validation and Restoration of Immune Dysfunction in Severe Infections and Sepsis
ClinicalTrials.gov study NCT03332225. IPD Sharing: NO. Countries: 1. Publications: 15.
Systems Analysis of Antigen Presenting Cells in Human Sepsis
ClinicalTrials.gov study NCT03788772. IPD Sharing: NO. Countries: 1. Publications: 1.
Pragmatic Pediatric Trial of Balanced Versus Normal Saline Fluid in Sepsis
ClinicalTrials.gov study NCT04102371. IPD Sharing: YES. Countries: 1. Publications: 2.
A Study in Sepsis Patients With Renal Failure
ClinicalTrials.gov study NCT00511186. IPD Sharing: Not stated. Countries: 2. Publications: 1.
ScienceDex guides
Understand access before you commit
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.