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1,441
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1,441 results for “Critical illness”
Inter-Chemical Correlation results for the study: HHEARx2018-2120 (The impact of tobacco smoke exposure and environmental exposures on the pulmonary microbiome and outcomes of critically ill children)
Title: The impact of tobacco smoke exposure and environmental exposures on the pulmonary microbiome and outcomes of critically ill children <br>Species: Homo sapiens <br>Number of samples: 1090 <br>Number of named analytes: 12 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=42 <br>
Population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials: covariate dataset
<p>A dataset of reported covariates from a systematic review of population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials, including R script of statistical and graphical analyses</p>
Mode Of Ventilation During Critical IllnEss Pilot Trial
ClinicalTrials.gov study NCT05563779. IPD Sharing: YES. Countries: 1. Publications: 3.
Not only pulmonary rehabilitation for critically ill patients with COVID-19
<p><strong>Background</strong></p> <p>Prolonged immobility in COVID-19 patients in mechanical ventilation combined with the infection-mediated harmful immune response can be responsible of peripheral nervous system complications, such as Intensive Care Unit Acquired Weakness (ICU-AW). We report preliminary findings of our monocentric prospective study.</p> <p><strong>Method</strong></p> <p>Prospective observational study of PCR-confirmed COVID-19 patients in mechanical ventilation in the Intensive Care Unit of Azienda Ospedaliero Universitaria Careggi (Firenze). We evaluated: 1. muscle power grading on motor response to nociceptive stimuli by means of MRC; 2. nerve conduction velocities, compound muscle action potentials (CMAP) and sensory nerve action potentials (SNAP) of six motor and four sensitive nerves in bilateral upper and lower limbs; 3. spontaneous muscle activity in bilateral tibialis anterior and biceps by needle. The presence of combined critical illness polyneuropathy and myopathy (CIPNM) was defined by very low amplitude of CMAP and/or SNAP on neurophysiological evaluation with normal or mildly reduced nerve conduction velocities, combined with myopathic features on needle electromyography. Data about pre-existing comorbidities such as diabetes and hypertension were also collected.</p> <p><strong>Findings</strong></p> <p>Between March 23 March 2020 to 10 April 2020, we performed ENG studies in 9 patients. Based on clinical examination ICU-AW (MRC score <48/60) was present in all 9 patients. Four of them had diagnosis of CIPNM at neurophysiological evaluation, and 3 of the remaining 5 patients presented neurophysiological findings consistent with common peroneal nerve compression</p> <p><strong>Interpretation</strong></p> <p>The present findings suggest that in critically ill patients affected by COVID-19 functional motor deficits are highly prevalent and should be searched for. ICU-AW have been found to negatively affect weaning from mechanical ventilation long-term outcome and increase in-hospital mortality of critical patients. Early recognition of these complications could help clinicians to plan an appropriate neuromotor rehabilitation (e.g. by early passive limbs mobilization and posture changes) for improving respiratory function and clinical outcome.</p> <p><strong>Funding</strong></p> <p>None</p> <p> </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>
Critical illness journeys: a bibliometric analysis
<p>Data extraction table for the project: critical illness journeys - a bibliometric analysis. </p>
PASS - A SCORING SYSTEM TO EVALUATE PERSISTENT ACUTE KIDNEY INJURY IN CRITICALLY ILL ADULT ICU PATIENTS
<p>Acute Kidney Injury (AKI) and sepsis is highly prevalent in Intensive Care Units (ICU) and has direct effect on mortality and morbidity. We aimed to evaluate if course and recovery of sepsis-AKI can be predicted using variables collected at the time of admission, and to develop a formula - Persistent AKI Scoring System (PASS) to predict recovery.</p> <p>63 consecutive patients admitted for sepsis-AKI in our ICUs were evaluated over a period of 8 months. Baseline demographic and clinical/laboratory parameters ,including serum creatinine (SCr), Base Excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave Variability (RVI), Mean Arterial Pressure (MAP) and Renal Resistivity Index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed with standard protocols with fluid resuscitation and other specific therapy. After 6 of hours of fluid resuscitation, hemodynamic status and volume status of the patient was assessed. Patients were classified as Volume Responders or Non-responders depending on hemodynamic stabilization using parameters like MAP. Re- assessment of all the variables was done at 24 hours and 72 hours after admission. The primary outcome was persistent AKI after 72hrs. The secondary outcome was initiation of dialysis and death within 15 days of admission.</p> <p>34 subjects recovered from AKI. 32 patients showed volume response with respect to hemodynamic parameters and 31 patients were non-responders. Response to fluid, MAP at admission, MAP after 6 hours, BE at admission, inotrope requirement, and PVI at admission did not correlate with recovery of AKI. RI, RVI and S Cr at admission significantly correlated with recovery from AKI These 3 parameters were evaluated further to develop the model for predicting recovery from AKI.• Score> 7.8 predicted recovery from AKI with sensitivity of 79.4%, specificity of 72.4%. PPV 81.8% and NPV 76.7%. PASS Score>7.8 had AUROC of 0.85.</p> <p>Multiple logistic regression showed that SCr< 2.36 mg%, RVI > 14.45 and RI < 0.8 on admission correlated with recovery.</p> <p>PASS SCORE Formula was created using the same.</p> <p>CONCLUSION: PASS score can be a simple bed side method to reliably identify salvageable cases of sepsis-AKI, guiding fluid resuscitation and also aiding early referrals from rural to higher centers for better management.</p>
PASS: A scoring system to evaluate persistent kidney injury in critically ill ICU adult patients
<p>Acute Kidney Injury (AKI) and sepsis is highly prevalent in Intensive Care Units (ICU) and has direct effect on mortality and morbidity. We aimed to evaluate if course and recovery of sepsis-AKI can be predicted using variables collected at the time of admission, and to develop a formula - Persistent AKI Scoring System (PASS) to predict recovery.</p> <p>63 consecutive patients admitted for sepsis-AKI in our ICUs were evaluated over a period of 8 months. Baseline demographic and clinical/laboratory parameters ,including serum creatinine (SCr), Base Excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave Variability (RVI), Mean Arterial Pressure (MAP) and Renal Resistivity Index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed with standard protocols with fluid resuscitation and other specific therapy. After 6 of hours of fluid resuscitation, hemodynamic status and volume status of the patient was assessed. Patients were classified as Volume Responders or Non-responders depending on hemodynamic stabilization using parameters like MAP. Re- assessment of all the variables was done at 24 hours and 72 hours after admission. The primary outcome was persistent AKI after 72hrs. The secondary outcome was initiation of dialysis and death within 15 days of admission.</p> <p>34 subjects recovered from AKI. 32 patients showed volume response with respect to hemodynamic parameters and 31 patients were non-responders. Response to fluid, MAP at admission, MAP after 6 hours, BE at admission, inotrope requirement, and PVI at admission did not correlate with recovery of AKI. RI, RVI and S Cr at admission significantly correlated with recovery from AKI These 3 parameters were evaluated further to develop the model for predicting recovery from AKI.• Score> 7.8 predicted recovery from AKI with sensitivity of 79.4%, specificity of 72.4%. PPV 81.8% and NPV 76.7%. PASS Score>7.8 had AUROC of 0.85.</p> <p>Multiple logistic regression showed that SCr< 2.36 mg%, RVI > 14.45 and RI < 0.8 on admission correlated with recovery.</p> <p>PASS SCORE Formula was created using the same.</p> <p>CONCLUSION: PASS score can be a simple bed side method to reliably identify salvageable cases of sepsis-AKI, guiding fluid resuscitation and also aiding early referrals from rural to higher centers for better management.</p>
Association Between Change in The Peripheral Biomarkers of Inflammation, Astrocyte Activation, and Neuroprotection at One Week of Critical Illness and Hospital Mortality in Patients with Delirium: A Prospective Cohort Study
<p>Dataset for the following publication: Association Between Change in The Peripheral Biomarkers of Inflammation, Astrocyte Activation, and Neuroprotection at One Week of Critical Illness and Hospital Mortality in Patients with Delirium: A Prospective Cohort Study</p>
Pilot Study of the Safety of a Daily Ethanol Lock for Urinary Catheters in Critically Ill Children
ClinicalTrials.gov study NCT01865708. IPD Sharing: NO. Countries: 1. Publications: 1.
Tocilizumab to Prevent Clinical Decompensation in Hospitalized, Non-critically Ill Patients With COVID-19 Pneumonitis
ClinicalTrials.gov study NCT04331795. IPD Sharing: NO. Countries: 1. Publications: 1.
The Efficacy of P0.1-guided Sedation Protocol in Critically Ill Patients Receiving Invasive Mechanical Ventilation: A Randomized Controlled Trial
ClinicalTrials.gov study NCT06203405. IPD Sharing: YES. Countries: 1. Publications: 37.
Electrical Stimulation for Critically Ill Covid-19 Patients
ClinicalTrials.gov study NCT04685213. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Decision Aid Feasibility Trial for Families of Critically Ill Stroke Patients
ClinicalTrials.gov study NCT04143113. IPD Sharing: YES. Countries: 1. Publications: 5.
Comparison of Two Extubation Techniques in Critically Ill Adult Patients
ClinicalTrials.gov study NCT03918811. IPD Sharing: NO. Countries: 1. Publications: 2.
Enhanced Protein-Energy Provision Via the Enteral Route in Critically Ill Patients
ClinicalTrials.gov study NCT01167595. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Corticosteroids in Postoperative Critically Ill Neonates With Low Cardiac Output Syndrome With Congenital Heart Disease
ClinicalTrials.gov study NCT00590018. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Effect of Guanfacine on Delirium in Critically Ill Patients
ClinicalTrials.gov study NCT04578886. IPD Sharing: NO. Countries: 1. Publications: 1.
Decreasing Delirium Through Music in Critically Ill Older Adults
ClinicalTrials.gov study NCT04182334. IPD Sharing: NO. Countries: 1. Publications: 2.
Effects of a Complete Diet in Critically Ill Patients With Stress Hyperglycemia
ClinicalTrials.gov study NCT01233726. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
ScienceDex guides
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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)
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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.