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104 results for “Mortality factors”
Data from: Is barotrauma an important factor in the discard mortality of yellow perch?
In physoclistous fishes, barotrauma caused by rapid decompression during capture may be an important source of fishing mortality that is unquantified for some fisheries. We developed a predictive logistic model for barotrauma incidence in Yellow Perch Perca flavescens and applied this model to Ohio's recreational and commercial fisheries in Lake Erie where discard mortality is implicitly considered to be negligible in current stock assessment. As expected, most of the variation in incidence was explained by capture depth with comparatively small effects of season, sex, and size categories. Measurements of whole body and gonad density provided limited explanation for the categorical effects. Both fisheries spanned a range of depths (7.6 to 16.8 m) that corresponded to a broad range of barotrauma incidence (13 to 74%). Using a recent example, we estimated that additional fishing mortality due to barotrauma in discards was approximately six-fold higher in the commercial than recreational fishery. Overall, this additional mortality was <1% of lake wide population size estimates. Thus, the assumption that all discarded Yellow Perch survive is unlikely to result in a detectable bias in population estimates. One caveat is that we still do not understand how strong year-classes might influence discard mortality via increased discard rate and barotrauma incidence for small fish.
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>
Factors Associated To Intensive Care Admission And Mortality In Patients With Emphysematous Pyelonephritis
ClinicalTrials.gov study NCT04326517. IPD Sharing: YES. Countries: 1. Publications: 8.
Mathematical Modeling and Risk Factor Analysis for Mortality of Sepsis
ClinicalTrials.gov study NCT03883061. IPD Sharing: NO. Countries: 1. Publications: 1.
Determination of Risk Factors and Mortality for Pediatric Chronic Critical Illness in Turkey
ClinicalTrials.gov study NCT03308513. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Single-center Retrospective Study to Find Prediction Factors Related to Mortality of COVID-19 Patients.
ClinicalTrials.gov study NCT04365634. IPD Sharing: NO. Countries: 1. Publications: 1.
Mortality and Risk Factors in Patients With Acute Cardiogenic Pulmonary Edema: a Multicentric, Observational, Prospective Study
ClinicalTrials.gov study NCT01269177. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Factor Associated With Mortality in the ICU
ClinicalTrials.gov study NCT07249749. IPD Sharing: NO. Countries: 1. Publications: 6.
Relationship Between Mortality Rates of Fractures in Different Sites and Several Factors in Elderly Patients
ClinicalTrials.gov study NCT07147504. IPD Sharing: NO. Countries: 0. Publications: 6.
Use of BRASS in Sedated Critically-ill Patients as a Predictable Mortality Factor
ClinicalTrials.gov study NCT03835091. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PREVAIL VI: Identification of Host Genetic Factors Underlying Ebola Virus Disease Risk, Mortality, Long-term Sequelae, Viral RNA Persistence, Humoral Immunity, and Ebola Vaccine Response
ClinicalTrials.gov study NCT03098862. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: Disparities in influenza mortality and transmission related to sociodemographic factors within Chicago in the pandemic of 1918
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Data from: Opposing effects of mortality factors on progeny operational sex ratio may thwart adaptive manipulation of primary sex ratio
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The U-shaped pattern of size-dependent mortality and its driving factors in a subtropical monsoon evergreen forest
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Data from: Is barotrauma an important factor in the discard mortality of yellow perch?
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The mortality risk factor of severe community-acquired pneumonia (SCAP) patients with Sepsis: a retrospective study
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Aetiology and prognostic risk factors of mortality in pneumonia patients receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study
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Data from: Influence of mortality factors and host resistance on the population dynamics of emerald ash borer (Coleoptera: Buprestidae) in urban forests
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