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.
163
datasets available to search
ShareScore release 0.9.0
Dataset results
163 results for “mortality risk”
Prospective Validation of the Emergency Heart Failure Mortality Risk Grade (EHMRG) Score in Patients With Acute Heart Failure in the Emergency Department
ClinicalTrials.gov study NCT05710302. IPD Sharing: YES. Countries: 1. Publications: 4.
Data from: Mitochondrial function declines with age within individuals but is not linked to the pattern of growth or mortality risk in zebra finch
Open the record for dataset details and reuse information.
Kidney transplantation waiting times and risk of cardiovascular events and mortality: a retrospective observational cohort study in Taiwan
Open the record for dataset details and reuse information.
Long-term study shows that increasing body size in response to warmer summers is associated with a higher mortality risk in a long-lived bat species
Open the record for dataset details and reuse information.
When death comes: Linking predator-prey activity patterns to timing of mortality to understand predation risk
Open the record for dataset details and reuse information.
The risk faced by the early bat: individual plasticity and mortality costs of the timing of spring departure after hibernation
Open the record for dataset details and reuse information.
Size-selective mortality induces evolutionary changes in group risk-taking behavior and the circadian system in a fish
Open the record for dataset details and reuse information.
Aetiology and prognostic risk factors of mortality in pneumonia patients receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study
<p><b>Objectives:</b> Long-term use of high-dose glucocorticoids can lead to severe immunosuppression and increased risk of treatment-resistant pneumonia and mortality. We investigated the aetiology and prognostic risk factors of mortality in hospitalised patients who developed pneumonia while receiving glucocorticoid therapy alone or glucocorticoid and other immunosuppressant therapies.</p> <p><b>Design:</b> Retrospective cohort study</p> <p><b>Setting: </b>Six secondary and tertiary academic hospitals in China</p> <p><b>Participants: </b>Patients receiving glucocorticoids who were hospitalised with pneumonia between 1<sup>st</sup> January 2013 and 31<sup>st</sup> December 2019.</p> <p><b>Main Outcomes: </b>We analysed<b> </b>the prevalence of comorbidities, microbiology, antibiotic susceptibility patterns, 30-day and 90-day mortality rates, and prognostic risk factors.</p> <p><b>Results</b>: A total of 716 patients were included, with pneumonia pathogens identified in 69.8% of patients. Significant morbidities occurred, including respiratory failure (50.8%), intensive care unit (ICU) transfer (40.8%), and mechanical ventilation (36%), with a 90-day mortality rate of 26.0%. Diagnosis of pneumonia occurred within 6 months of glucocorticoid initiation for 69.7% of patients with <i>Cytomegalovirus</i> (CMV) pneumonia and 79.0% of patients with <i>Pneumocystis jirovecii</i> pneumonia (PCP). Pathogens, including <i>Pneumocystis</i>, CMV, and multidrug-resistant bacteria, were identified more frequently in patients with persistent lymphocytopenia and high-dose glucocorticoid treatment (≥ 30 mg/day of prednisolone or equivalent within 30 days before admission). The 90-day mortality rate was significantly lower for non-CMV viral pneumonias than for PCP (<i>P</i> < 0.05), with a similar mortality rate as CMV pneumonias (24.2% vs 38.1% vs 27.4%, respectively).Cox regression analysis indicated <a name="_Hlk30339725"></a><a name="_Hlk31278800">several independent negative predictors for mortality in this patient population, including septic shock, respiratory failure, </a>persistent lymphocytopenia, interstitial lung disease, and high-dose glucocorticoid use.</p> <p><b>Conclusions</b>: Patients who developed pneumonia while receiving glucocorticoid therapy experienced high rates of opportunistic infections, with significant morbidity and mortality. These findings should be carefully considered when determining treatment strategies for this patient population.</p>
Data from: A risk-based forecast of extreme mortality events in small cetaceans: using stranding data to inform conservation practice
Effective conservation requires monitoring and pro-active risk assessments. We studied the effects of at-sea mortality events (ASMEs) in marine mammals over two decades (1990-2012) and built a risk- based indicator for the European Union's Marine Strategy Framework Directive (MSFD). Strandings of harbour porpoises (Phocoena phocoena), short-beaked common dolphins (Delphinus delphis), and striped dolphins (Stenella coeruleoalba) along French coastlines were analysed using Extreme Value Theory (EVT). EVT operationalises what is an extreme ASME, and allows the probabilistic forecasting of the expected maximum number of dead animals assuming constant pressures. For the period 2013-2018, we forecast the strandings of 80 harbour porpoises, 860 common dolphins, and 57 striped dolphins in extreme ASMEs. Comparison of these forecasts with observed strandings informs whether pressures are increasing, decreasing or stable. Applying probabilistic methods to stranding data facilitates the building of risk-based indicators, required under the MSFD, to monitor the effect of pressures on marine mammals.
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: Non-steroidal anti-inflammatory drugs use in older adults decreases risk of Alzheimer's disease mortality
Alzheimer disease (AD) mortality risk in a large cohort of subjects treated or not with non-steroidal anti-inflammatory drugs (NSAIDs) is unknown. Our objective was to determine whether NSAIDs use is associated with decreased risk of AD mortality. Methods: In this prospective, population-based study (Neurological Disorders in Central Spain [NEDICES]) of 5,072 people without AD (aged 65 years and older), sociodemographic, comorbidity factors, and current medications were recorded at baseline. Community-dwelling older adults were followed for a median of 12.7 years, after which the death certificates of deceased participants were examined. 2,672 (52.7%) of 5,072 participants died, including 504 (18.9%) NSAIDs users and 2,168 (81.1%) non-users. Of the 2,672 deceased participants, 113 (4.2%) had AD as a cause of death (8 [1.6%] among NSAIDs users and 105 [4.8%] among non-users, chi-square = 10.70, p=0.001). In an unadjusted Cox model, risk of AD mortality was decreased in NSAIDs users (hazard ratio [HR] for AD mortality = 0.35, 95% confidence interval [CI] 0.17–0.72, p=0.004) when compared to non-users. After adjusting for numerous demographic factors and co-morbidities, the HR for AD mortality in NSAIDs users was 0.29, 95% CI 0.12–0.73, p=0.009. Stratified analyses showed a significantly decreased risk of AD mortality with aspirin, whereas non-aspirin NSAIDs only showed a statistical trend toward significance in the adjusted Cox regression models. NSAIDs use was associated with 71% decreased risk of AD mortality in older adults. Our results support the hypothesis that NSAIDs use is a protective factor of developing AD.
Data from: The landscape of anthropogenic mortality: how African lions respond to spatial variation in risk
1. Demography and conservation status of many wild organisms are increasingly shaped by interactions with humans. This is particularly the case for large, wide ranging carnivores. 2. Using 206 mortality records (1999-2012) of lions in Hwange National Park, Zimbabwe, we calculated mortality rates for each source of anthropogenic mortality, modelled risk of anthropogenic mortality across the landscape accounting for time lions spent in different parts of the landscape, and assessed whether subsets of the population were more at risk. 3. Anthropogenic activities caused 88% of male and 67% of female mortalities; male mortality being dominated by trophy hunting while the sources for female mortality were more varied (snaring, retaliatory killing, hunting). 4. Landscapes of anthropogenic mortality risk revealed that communal subsistence farming areas, characterized by high risk (due to retaliatory killing) but avoided by lions, are population sinks. Trophy hunting areas and areas within protected areas bordering communal farmland, where bush-meat snaring is prevalent, form 'ecological traps' (or 'attractive sinks'). 5. Lions avoided risky areas, suggesting they may make behavioural decisions based on perceptions of risk. Experienced adults used risky areas less and incorporated lower proportions of them in their home ranges than young individuals, suggesting that the latter may either be naïve or forced into peripheral habitats. Synthesis and applications: This paper contributes to an understanding of the way in which carnivore populations are affected by anthropogenic mortality across the conservation landscape. This is critical to designing focussed, appropriate and cost effective conservation management strategies. Agricultural areas are intuitively identified by conservationists as being risky for carnivores due to retaliatory or pre-emptive killing, with threats largely mitigated against by improving livestock protection. However, parts of protected areas may also form less easily identified 'attractive sinks' for carnivores. In particular, trophy hunting adjacent to national parks needs careful management to avoid damaging effects of overhunting. Law enforcement is needed to reduce the effects of bush-meat poaching on predators and other wildlife in protected areas. To be most effective, resource limited anti-poaching activities should prioritise wildlife rich areas close to human settlement as these tend to be hotspots for bush-meat poaching.
Data from: State transitions: a major mortality risk for seasonal species
Ageing results from the accumulation of multifactorial damage over time. However, the temporal distribution of this damage remains unknown. In seasonal species, transitions between seasons are critical periods of massive physiological remodelling. We hypothesised that these recurrent peaks of physiological remodelling are costly in terms of survival. We tested whether captive small primates exposed to an experimentally increased frequency of seasonal transitions die sooner than individuals living under natural seasonality. The results show that experiencing one additional season per year increases the mortality hazard by a factor of 3 to 4, whereas the expected number of seasons lived is only slightly impacted by the seasonal rhythm. These results demonstrate that physiological transitions between periods of high and low metabolic activity represent a major mortality risk for seasonal organisms, which has been ignored until now.
Data from: On the importance of having a good mother: maternal investment affects duckling mortality risk in wood ducks
Most avian populations experience more variation in recruitment than adult survival, and twhich drives much of the change in population growth rates from year to year. In duck species, the probability of duckling survival is an important component of recruitment into the breeding population. We investigated how variation in maternal investment in offspring by nesting female wood duck Aix sponsa affected duckling mortality (1‐survival) to 60 days of age using capture‐mark‐recapture techniques. Our primary sample consisted of 3,035 ducklings, from 545 nests, that were marked with uniquely coded webtags on the day of hatch over nine nesting seasons (2008‐2016). We also included 4,437 HY and AHY individuals to increase precision on parameter estimates because some ducklings were not recaptured until after fledging. Duckling mortality was greatest during the first week of life (0.76, 85% C.I. 0.71, 0.81) and approached zero by the second week after hatching (0.005, 85% C.I. 0, 0.025). We observed a quadratic effect of hatch date on duckling mortality (βHD = 0.013, 85% CI 0.13, 0.20, βHD2 = 0.12, 85% CI 0.051, 0.017) of hatch date, suggesting that successful females improve fitness by nesting early in the year, but not too early (15 days before mean hatch). Increased egg volume and duckling mass reduced the probability of ducking mortality (βegg volume = ‐0.155, 85% CI ‐0.245, ‐0.075. βduckling mass = ‐7.56, 85% CI ‐10.67,‐4.45). Our results suggest that risk of mortality for ducklings is influenced, at least in part, by maternal effects, which are manifested through energy allocation and behavior during the breeding season. As such, individual heterogeneity among breeding females affects duckling mortality risk and likely the recruitment process for wood ducks.
Gradients of seasonality and mortality risk cause rapid shifts in body size of determinate growers
<p>The dataset for the manuscript "Gradients of seasonality and mortality risk cause rapid shifts in body size of determinate growers". The dataset is packed in ZIP archive 'seasonality_size_clines.zip' and contain the results of the dynamic optimization model. Each file in the archive contains data (stored as Matlab workspaces).</p>
Humans drive spatial variation in mortality risk for a threatened wolf population in a Canis hybrid zone
<ol> <li>Large carnivores often exhibit high survival rates in protected areas, whereas intentional and unintentional human-caused mortality may be greater in adjacent areas. These patterns can result in source-sink dynamics and limit population expansion beyond protected areas.</li> <li>We used telemetry data from 438 canids in 141 packs collected from 2002–2020 to evaluate mortality risk for wolves, coyotes, and admixed canids in a 3-species hybrid zone in and adjacent to a large protected area in Ontario, Canada. The hybrid zone is occupied by most of the remaining eastern wolves (<em>Canis lycaon</em>), a rare, threatened species that hybridizes with sympatric eastern coyotes (<em>C. latrans</em>) and Great Lakes gray wolves (<em>C. lupus</em>).</li> <li>Within Algonquin Provincial Park (APP), annual human-caused mortality from harvest and vehicles was low (0.06, 95% CI [0.03, 0.08]), whereas annual human-caused mortality was higher in adjacent areas (0.31, 95% CI [0.25, 0.37]). Smaller protected areas implemented to help protect eastern wolves did not significantly reduce mortality. Eastern wolves survived poorly relative to other canids and dispersing canids survived poorly relative to residents. Mortality risk was greater when canids were closer to roads. Mortality risk was also increased or reduced by the strength of individual-level selection or avoidance of roads relative to their availability, respectively.</li> <li>Our results provide a comprehensive evaluation of factors influencing spatial variation in mortality risk for canids to inform eastern wolf recovery efforts. Additionally, we developed a novel modeling approach for investigating the influence of resource selection on mortality risk, which highlighted that individual-level responses to risk can strongly influence population-level mortality patterns.</li> <li> <em>Synthesis and applications</em>. Despite being listed as 'threatened' under the Ontario Endangered Species Act, eastern wolves are still legally trapped and shot outside protected areas in central Ontario. Eastern wolves and dispersing canids survive poorly outside of APP, primarily from human-caused mortality. These results, along with the apparent inadequacy of the smaller protected areas, suggest that expanding the threatened eastern wolf population outside APP is unlikely under current management conditions. Protecting eastern wolves from human-caused mortality is complicated as it would require a harvest ban for all canids, including coyotes.</li> </ol>
Data from: Season rather than habitat affects lynx survival and risk of mortality in the human-dominated landscape of southern Sweden
<p><span><span><span><span><span><span><span><span><span><span><span>Landscapes are mosaics of habitat associated with different risks and resources, including human activities, which can affect individual survival in wildlife. Different relationships between habitat characteristics and human-caused and natural mortality can result in attractive sinks. We used individual-based data from 97 Eurasian lynx (<i>Lynx lynx</i>) monitored for 160 exposure years to link adult survival and the risk of mortality to home range habitat characteristics in the human-dominated landscape of southern Sweden. Human-caused mortality dominated mortality causes (24 out of 37 deaths). We did not detect any strong effects of habitat characteristics explaining the variation in mortality risk in lynx. Although the density of roe deer affects several aspects of lynx ecology, we could not detect any effects of roe deer density on lynx survival, probably because roe deer density was sufficiently high in our study area. Instead, there was a high seasonal variation in mortality lynx. Mortality was highest during the hunting season for lynx (February 16 – March 31), as well as during autumn and winter, probably because lynx poaching occurred opportunistically during the hunting season for moose and roe deer. We did not find any indication that human activity created attractive sinks for lynx, since there was no contrasting pattern between human-caused and natural mortality in terms of habitat characteristics. One explanation for the limited influence of the home range characteristics may be that lynx in our study died from multiple causes (natural causes 35%, legal hunting 27 %, poaching 22 % and vehicle collisions 16 %). Therefore, it is less likely that one or a few habitat characteristics could explain the risk of mortality at the home range scale. There is strong evidence that lynx can coexist with humans in multi-use and human-dominated landscapes, even without large protected areas, if the management regimes are favourable.</span></span></span></span></span></span></span></span></span></span></span></p> <p> </p>
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>
Laboratory risk factors for mortality in severe and critical COVID-19 patients admitted to the ICU
<p>raw data sheet</p>
Laboratory risk factors for mortality in severe and critical COVID-19 patients admitted to the ICU
<p>Data legends</p>
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.