Find research datasets worth reusing

Succinylcholine Versus Rocuronium for Emergency Intubation in Intensive Care

ClinicalTrials.gov study NCT00355368. IPD Sharing: Not stated. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →

Bundle Consent and Expectation Setting in Pediatric Intensive Care Unit

ClinicalTrials.gov study NCT04697173. IPD Sharing: NO. Countries: 1. Publications: 3.

Randomized Study of Caspofungin Prophylaxis Followed by Pre-emptive Therapy for Invasive Candidiasis in the Intensive Care Unit (ICU)

ClinicalTrials.gov study NCT00520234. IPD Sharing: Not stated. Countries: 1. Publications: 5.

Study of Bathing With Chlorhexidine Impregnated Cloths on Nosocomial Infections in the Pediatric Intensive Care Unit

ClinicalTrials.gov study NCT00549393. IPD Sharing: Not stated. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

Post-Intensive Care Transitional Care, Rehabilitation, and Family-Support

ClinicalTrials.gov study NCT06501365. IPD Sharing: YES. Countries: 1. Publications: 10.

controlledIPD-YESFeb 2026View details →

Assessment of Patients Undergoing Cardiac Surgery and Admitted to the Intensive Care Unit

ClinicalTrials.gov study NCT06154473. IPD Sharing: YES. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

Efficacy and Safety of Inhaled Isoflurane Delivered Via the Sedaconda ACD-S Compared to Intravenous Propofol for Sedation of Mechanically Ventilated Intensive Care Unit Adult Patients (INSPiRE-ICU1)

ClinicalTrials.gov study NCT05312385. IPD Sharing: NO. Countries: 1. Publications: 16.

Study of DA-9501 In Pediatric Subjects In The Intensive Care Unit

ClinicalTrials.gov study NCT02757625. IPD Sharing: Not stated. Countries: 1. Publications: 1.

β-D-Glucan (BDG) Surveillance With Preemptive Anidulafungin vs. Standard Care for Invasive Candidiasis in Surgical Intensive Care Unit (SICU) Patients

ClinicalTrials.gov study NCT00672841. IPD Sharing: Not stated. Countries: 1. Publications: 1.

opencc-by-4.0Apr 2020View details →

Corresponding spreadsheet to the Paper 'Hospital intensive care unit bed management in Italy'

The dataset reports the data collected in the Italian Ministry of Health website regarding the availability of hospital beds as well as the number of discharges and inpatient days. Data are distributed by hospital structure, year (2010 and 2017) and discipline. Additional sheets are included to report the hospital bed management indicators computed to assess the efficiency in the ordinary hospital bed management in Italy before the COVID-19 outbreak.  Last available raw data published by the Ministry of Health are available here: <a href="http://www.salute.gov.it/portale/documentazione/p6_2_8_1_1.jsp?lingua=italiano&id=6">http://www.salute.gov.it/portale/documentazione/p6_2_8_1_1.jsp?lingua=italiano&id=6</a>

opencc-zeroJul 2020View details →

Data from: Pediatric intensive care unit admissions for COVID-19: insights using state-level data

Introduction Intensive care has played a pivotal role during the COVID-19 pandemic as many patients developed severe pulmonary complications. The availability of information in pediatric intensive care (PICUs) remains limited. The purpose of this study is to characterize COVID-19 positive admissions (CPAs) in the United States and to determine factors that may impact those admissions. Materials and Methods This is a retrospective cohort study using data from the COVID-19 dashboard virtual pediatric system) containing information regarding respiratory support and comorbidities for all CPAs between March and April 2020. The state level data contained 13 different factors from population density, comorbid conditions and social distancing score. The absolute CPAs count was converted to frequency using the state's population. Univariate and multivariate regression analyses were performed to assess the association between CPAs frequency and endpoints. Results A total of 205 CPAs were reported by 167 PICUs across 48 states. The estimated CPAs frequency was 2.8 per million children. A total of 3,235 tests were conducted with 6.3% positive tests. Children above 11 years of age comprised 69.7% of the total cohort and 35.1% had moderated or severe comorbidities. The median duration of a CPA was 4.9 days [1.25-12.00 days]. Out of the 1,132 total CPA days, 592 [52.2%] were for mechanical ventilation. The inpatient mortalities were 3 [1.4%]. Multivariate analyses demonstrated an association between CPAs with greater population density [beta-coefficient 0.01, p<0.01] and increased percent of children receiving the influenza vaccination [beta-coefficient 0.17, p=0.01]. Conclusions Inpatient mortality during PICU CPAs is relatively low at 1.4%. CPA frequency seems to be impacted by population density while characteristics of illness severity appear to be associated with ultraviolet index, temperature, and comorbidities such as Type 1 diabetes. These factors should be included in future studies using patient-level data.

opencc-zeroDec 2020View details →

Development of Data Dictionary for neonatal intensive care unit: advancement towards a better critical care unit

Background: Critical care units (CCUs) with wide use of various monitoring devices generate massive data. To utilize the valuable information of these devices; data are collected and stored using systems like Clinical Information System (CIS), Laboratory Information Management System (LIMS), etc. These systems are proprietary in nature, allow limited access to their database and have vendor specific clinical implementation. In this study we focus on developing an open source web-based meta-data repository for CCU representing stay of patient with relevant details. Methods: After developing the web-based open source repository we analyzed prospective data from two sites for four months for data quality dimensions (completeness, timeliness, validity, accuracy and consistency), morbidity and clinical outcomes. We used a regression model to highlight the significance of practice variations linked with various quality indicators. Results: Data dictionary (DD) with 1447 fields (90.39% categorical and 9.6% text fields) is presented to cover clinical workflow of NICU. The overall quality of 1795 patient days data with respect to standard quality dimensions is 87%. The data exhibit 82% completeness, 97% accuracy, 91% timeliness and 94% validity in terms of representing CCU processes. The data scores only 67% in terms of consistency. Furthermore, quality indicator and practice variations are strongly correlated (p-value < 0.05). Results: Data dictionary (DD) with 1555 fields (89.6% categorical and 11.4% text fields) is presented to cover clinical workflow of a CCU. The overall quality of 1795 patient days data with respect to standard quality dimensions is 87%. The data exhibit 82% completeness, 97% accuracy, 91% timeliness and 94% validity in terms of representing CCU processes. The data scores only 67% in terms of consistency. Furthermore, quality indicators and practice variations are strongly correlated (p-value < 0.05). Conclusion: This study documents DD for standardized data collection in CCU. This provides robust data and insights for audit purposes and pathways for CCU to target practice improvements leading to specific quality improvements.

opencc-zeroOct 2019View details →

Development and validation of a postoperative delirium prediction model for patients admitted to an intensive care unit in China: a prospective study

Objectives: We aimed to develop and validate a postoperative delirium (POD) prediction model for patients admitted to the intensive care unit (ICU). Design: A prospective study was conducted. Setting: The study was conducted in the surgical, cardiovascular surgical, and trauma surgical ICUs of an affiliated hospital of a medical university in Heilongjiang Province, China. Participants: This study included 400 patients (≥18 years old) admitted to the ICU after surgery. Primary and secondary outcome measures: The primary outcome measure was postoperative delirium assessment during ICU stay. Results: The model was developed using 300 consecutive ICU patients and was validated using 100 patients from the same ICUs. The model was based on five risk factors: Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity; acid-base disturbance; and history of coma, diabetes, or hypertension. The model had an area under the receiver operating characteristics curve of 0.852 (95% confidence interval: 0.802–0.902), Youden index of 0.5789, sensitivity of 70.73%, and specificity of 87.16%. The Hosmer-Lemeshow goodness of fit was 5.203 (P = 0.736). At a cut-off of 24.5%, the sensitivity and specificity were 71% and 69%, respectively. Conclusions: The model, which used readily available data, exhibited high predictive value regarding risk of intensive care unit postoperative delirium (ICU-POD) at admission. Use of this model may facilitate better implementation of preventive treatments and nursing measures.

opencc-zeroDec 2015View details →

Data from: Short-term and medium-term survival of critically ill patients with solid tumours admitted to the intensive care unit: a retrospective analysis

Objectives: Patients with cancer frequently require unplanned admission to the Intensive Care Unit (ICU). Our objectives were to assess hospital and 180-day mortality in patients with a non-haematological malignancy and unplanned ICU admission, and to identify which factors present on admission were the best predictors of mortality. Design: Retrospective review of all patients with a diagnosis of solid tumours following unplanned admission to the ICU between 1st August 2008 and 31st July 2012. Setting: Single centre tertiary care hospital in London (UK) Participants: 300 adult patients with non-haematological solid tumours requiring unplanned admission to the ICU. Interventions: None Primary and secondary outcomes: Hospital and 180-day survival Results: 300 patients were admitted to the ICU (median age 66.5 years; 61.7% male). Survival to hospital discharge and 180-days were 69% and 47.8%, respectively. Greater number of failed organ systems on admission was associated with significantly worse hospital survival (p<0.001) but not with 180-day survival (p=0.24). In multivariate analysis, predictors of hospital mortality were the presence of metastases [odds ratio (OR 1.97), 95% confidence interval (CI) 1.08-3.59], Acute Physiology and Chronic Health Evaluation II (APACHE II) score (OR 1.07, 95% CI 1.01-1.13) and a Glasgow Coma Scale score <7 on admission to ICU (OR 5.21, 95% CI 1.65-16.43). Predictors of worse 180-day survival were the presence of metastases (OR 2.82, 95% CI 1.57-5.06), APACHE II score (OR 1.07, 95% CI 1.01-1.13) and sepsis (OR 1.92, 95% CI 1.09-3.38). Conclusions: Short and medium-term survival in patients with solid tumours admitted to ICU is better than previously reported, suggesting that the presence of cancer alone should not be a barrier to ICU admission.

opencc-by-4.0Nov 2023View details →

NEUMOBACT checklist about infection-prevention performance of intensive care nurses in simulation-based scenarios

To design, develop and validate a new tool, called NEUMOBACT, to evaluate critical care nurses' knowledge and skills in ventilator-associated pneumonia (VAP) and catheter-related bacteraemia (CRB) prevention through simulation scenarios involving central venous catheter (CVC), endotracheal suctioning (ETS) and mechanically ventilated patient care (PC) stations.

opencc-by-4.0Dec 2023View details →

Alarm management in provisional COVID-19 intensive care units: a retrospective analysis and recommendations for future pandemics

The clinical audit logs were manually collected from the patient monitoring system of four intensive care units (ICU) from a large German hospital via USB stick from the central patient monitoring device. The data consists of the time, bed number, alarm type (i.e., parameter, device, alarm criticality) and alarm handling (e.g., threshold adjustments, use of the pause function). No actual patient identifying data elements were collected. For further deidentification, dates were shifted into the future by a pseudo-random offset for all patients; the bed number was replaced by a pseudonym. Day and night rhythm, weekends, the season and the bed characteristic (double room, single room) were not affected by this process.

opencc-by-4.0Nov 2024View details →

Basic laboratory and extended hematological parameters and intensive care unit mortality in sepsis patients

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2021View details →

Effectiveness of Inactivated SARS-CoV-2 Vaccine (CoronaVac) on Survival at Intensive Care Unit: A Cross-sectional Study

Background: This study compared the course of COVID-19 in vaccinated and unvaccinated patients admitted to an intensive care unit (ICU) and evaluated the effect of vaccination with CoronaVac on admission to ICU. Methods: Patients admitted to ICU due to COVID-19 between 1 April 2021 and 15 May 2021 were enrolled to the study. Clinical, laboratory, radiological parameters, hospital and intensive care unit mortality were compared between vaccinated patients and eligible but unvaccinated patients. Patients over 65 years old were the target population of the study due to the national vaccination schedule. Results: Data from 90 patients were evaluated. Of these, 36 (40.0%) were vaccinated. All patients had the CoronaVac vaccine. Lactate dehydrogenase and ferritin levels were higher in unvaccinated group than vaccinated group (p=0.021 and 0.008, respectively). SpO2 from the first arterial blood gas at ICU was 83.71±19.50 % in vaccinated, 92.36±6.59 % in unvaccinated patients (p=0.003). Length of ICU and hospital stay were not different (p=0.204, 0.092, respectively).  ICU and hospital mortality were similar between groups (p=0.11 and 0.70, respectively). Conclusions: CoronaVac vaccine had no effect on survival from COVID-19. CoronaVac’s protective effect, especially on new genetic variants, should be investigated further.

opencc-by-4.0Dec 2021View details →

Long-term health-related quality of life, healthcare utilisation and back-to-work activities in Intensive Care Unit survivors: prospective confirmatory study from the Frisian Aftercare Cohort

More substantial information on recovery after Intensive Care Unit (ICU) admission is urgently needed. In a previous retrospective study, the proportion of non-recovery patients was 44%. The aim of this prospective follow-up study was to evaluate changes Health-Related Quality of Life (HRQoL) in the first year after ICU-admission. Long-stay adult ICU-patients (≥ 48 hours) were included. HRQoL was evaluated with the Dutch translation of the RAND-36 item Health Survey (RAND-36) at baseline via proxy measurement, and at three, six, and twelve months after ICU admission. Subsequently, the relation between  physical functioning, healthcare utilisation, and work activities was explored.