scholarly journals Characteristics of patients with carbon monoxide poisoning due to smoke inhalation and pre-hospital factors related to intensive care unit admission of these patients: a nationwide observational study

2021 ◽  
Keyword(s):  
Intensive Care Unit ◽  
Carbon Monoxide ◽  
Intensive Care ◽  
Observational Study ◽  
Multiple Logistic Regression Analysis ◽  
Smoke Inhalation ◽  
Co Poisoning ◽  
Icu Admission ◽  
Hospital Factors ◽  
O2 Supply

This study aimed to investigate the pre-hospital clinical status of patients with carbon monoxide (CO) poisoning by smoke inhalation and the pre-hospital factors associated with these patients’ admission to the intensive care unit (ICU). In this observational study from January 2016 to December 2018, the National Fire Agency’s first aid activity log on patients with smoke inhalation was matched with National Emergency Department Information System’s patient data with CO poisoning and further analyzed retrospectively. Multiple logistic regression analysis was conducted to identify the relevant pre-hospital associative factors for the decision to admit a patient with CO poisoning to the ICU. Of the 4422 patients with CO poisoning included in the study, 358 (8.09%) were admitted to the ICU. In such patients transported by pre-hospital emergency medical services, age (odds ratio [OR], 1.020; 95% confidence interval [CI], 1.010–1.029), verbal (OR, 3.564; 95% CI, 2.390–5.315), pain (OR, 4.011; 95%CI, 2.661–6.045), unconsciousness (OR, 5.728; 95% CI, 2.708–12.113), SBP (OR, 0.979; 95% CI, 0.969–0.989), HR (OR, 1.011; 95% CI, 1.004–1.018), SpO2 (OR, 0.965; 95% CI, 0.946–0.985), O2 supply (OR, 1.725; 95% CI, 1.143–2.603), use of nasal prongs (OR, 0.504; 95% CI, 0.281–0.905), and intentional inhalation (OR, 2.282; 95% CI, 1.659–3.139) were independently associated with ICU admission. Our study demonstrated that age, mental change, SBP, HR, SPO2, O2 supply, use of nasal prongs, and intentional inhalation in patients with CO poisoning were associated with their ICU admission.

scholarly journals The Epidemiology of Vancomycin-Resistant Enterococcus Colonization in a Medical Intensive Care Unit

2003 ◽  
Vol 24 (4) ◽  
pp. 257-263 ◽  
Author(s):  
David K. Warren ◽  
Marin H. Kollef ◽  
Sondra M. Seiler ◽  
Scott K. Fridkin ◽  
Victoria J. Fraser
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Multiple Logistic Regression Analysis ◽  
Control Measures ◽  
Icu Patients ◽  
Icu Admission ◽  
Contact Precautions ◽  
Icu Stay ◽  
Vancomycin Resistant

AbstractObjective:To determine the epidemiology of colonization with vancomycin-resistant Enterococcus (VRE) among intensive care unit (ICU) patients.Design:Ten-month prospective cohort study.Setting:A 19-bed medical ICU of a 1,440-bed teaching hospital.Methods:Patients admitted to the ICU had rectal swab cultures for VRE on admission and weekly thereafter. VRE-positive patients were cared for using contact precautions. Clinical data, including microbiology reports, were collected prospectively during the ICU stay.Results:Of 519 patients who had admission stool cultures, 127 (25%) had cultures that were positive for VRE. Risk factors for VRE colonization identified by multiple logistic regression analysis were hospital stay greater than 3 days prior to ICU admission (adjusted odds ratio [AOR], 3.6; 95% confidence interval [CI95], 2.3 to 5.7), chronic dialysis (AOR, 2.4; CI95, 1.2 to 4.5), and having been admitted to the study hospital one to two times (AOR, 2.3; CI95,1.4 to 3.8) or more than two times (AOR, 6.5; CI95, 3.7 to 11.6) within the past 12 months. Of the 352 VRE-negative patients who had one or more follow-up cultures, 74 (21%) became VRE positive during their ICU stay (27 cases per 1,000 patient-ICU days).Conclusion:The prevalence of VRE culture positivity on ICU admission was high and a sizable fraction of ICU patients became VRE positive during their ICU stay despite contact precautions for VRE-positive patients. This was likely due in large part to prior VRE exposures in the rest of the hospital where these control measures were not being used.

scholarly journals In-Hospital Outcomes in Patients Admitted to the Intensive Care Unit after a Return Visit to the Emergency Department

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 431
Author(s):  
Chun-Fu Lin ◽  
Yi-Syun Huang ◽  
Ming-Ta Tsai ◽  
Kuan-Han Wu ◽  
Chien-Fu Lin ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Regression Analysis ◽  
Intensive Care ◽  
Medical Cost ◽  
Total Medical Cost ◽  
Hospital Outcomes ◽  
Return Visit ◽  
Icu Admission ◽  
Ed Visits

Background: Intensive care unit (ICU) admission following a short-term emergency department (ED) revisit has been considered a particularly undesirable outcome among return-visit patients, although their in-hospital prognosis has not been discussed. We aimed to compare clinical outcomes between adult patients admitted to the ICU after unscheduled ED revisits and those admitted during index ED visits. Method: This retrospective study was conducted at two tertiary medical centers in Taiwan from 1 January 2016 to 31 December 2017. All adult non-trauma patients admitted to the ICU directly via the ED during the study period were included and divided into two comparison groups: patients admitted to the ICU during index ED visits and those admitted to the ICU during return ED visits. The outcomes of interest included in-hospital mortality, mechanical ventilation (MV) support, profound shock, hospital length of stay (HLOS), and total medical cost. Results: Altogether, 12,075 patients with a mean (standard deviation) age of 64.6 (15.7) years were included. Among these, 5.3% were admitted to the ICU following a return ED visit within 14 days and 3.1% were admitted following a return ED visit within 7 days. After adjusting for confounding factors for multivariate regression analysis, ICU admission following an ED revisit within 14 days was not associated with an increased mortality rate (adjusted odds ratio (aOR): 1.08, 95% confidence interval (CI): 0.89 to 1.32), MV support (aOR: 1.06, 95% CI: 0.89 to 1.26), profound shock (aOR: 0.99, 95% CI: 0.84 to 1.18), prolonged HLOS (difference: 0.04 days, 95% CI: −1.02 to 1.09), and increased total medical cost (difference: USD 361, 95% CI: −303 to 1025). Similar results were observed after the regression analysis in patients that had a 7-day return visit. Conclusion: ICU admission following a return ED visit was not associated with major in-hospital outcomes including mortality, MV support, shock, increased HLOS, or medical cost. Although ICU admissions following ED revisits are considered serious adverse events, they may not indicate poor prognosis in ED practice.

scholarly journals Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bongjin Lee ◽  
Kyunghoon Kim ◽  
Hyejin Hwang ◽  
You Sun Kim ◽  
Eun Hee Chung ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Validation Cohort ◽  
External Validation ◽  
Learning Model ◽  
Derivation Cohort ◽  
Icu Admission ◽  
Early Stages ◽  
Machine Learning Model

AbstractThe aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hospitals were enrolled. Three hospitals were designated as the derivation cohort for machine learning model development and internal validation, and the other hospital was designated as the validation cohort for external validation. We developed a random forest (RF) model that predicts pediatric mortality within 72 h of ICU admission, evaluated its performance, and compared it with the Pediatric Index of Mortality 3 (PIM 3). The area under the receiver operating characteristic curve (AUROC) of RF model was 0.942 (95% confidence interval [CI] = 0.912–0.972) in the derivation cohort and 0.906 (95% CI = 0.900–0.912) in the validation cohort. In contrast, the AUROC of PIM 3 was 0.892 (95% CI = 0.878–0.906) in the derivation cohort and 0.845 (95% CI = 0.817–0.873) in the validation cohort. The RF model in our study showed improved predictive performance in terms of both internal and external validation and was superior even when compared to PIM 3.

scholarly journals The feasibility and reliability of actigraphy to monitor sleep in intensive care patients: an observational study

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
L. J. Delaney ◽  
E. Litton ◽  
K. L. Melehan ◽  
H.-C. C. Huang ◽  
V. Lopez ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Observational Study ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Moderate Level ◽  
Sleep Monitoring ◽  
Clinical Trial Registration ◽  
Wake Time ◽  
Intensive Care Patients

Abstract Background Sleep amongst intensive care patients is reduced and highly fragmented which may adversely impact on recovery. The current challenge for Intensive Care clinicians is identifying feasible and accurate assessments of sleep that can be widely implemented. The objective of this study was to investigate the feasibility and reliability of a minimally invasive sleep monitoring technique compared to the gold standard, polysomnography, for sleep monitoring. Methods Prospective observational study employing a within subject design in adult patients admitted to an Intensive Care Unit. Sleep monitoring was undertaken amongst minimally sedated patients via concurrent polysomnography and actigraphy monitoring over a 24-h duration to assess agreement between the two methods; total sleep time and wake time. Results We recruited 80 patients who were mechanically ventilated (24%) and non-ventilated (76%) within the intensive care unit. Sleep was found to be highly fragmented, composed of numerous sleep bouts and characterized by abnormal sleep architecture. Actigraphy was found to have a moderate level of overall agreement in identifying sleep and wake states with polysomnography (69.4%; K = 0.386, p < 0.05) in an epoch by epoch analysis, with a moderate level of sensitivity (65.5%) and specificity (76.1%). Monitoring accuracy via actigraphy was improved amongst non-ventilated patients (specificity 83.7%; sensitivity 56.7%). Actigraphy was found to have a moderate correlation with polysomnography reported total sleep time (r = 0.359, p < 0.05) and wakefulness (r = 0.371, p < 0.05). Bland–Altman plots indicated that sleep was underestimated by actigraphy, with wakeful states overestimated. Conclusions Actigraphy was easy and safe to use, provided moderate level of agreement with polysomnography in distinguishing between sleep and wakeful states, and may be a reasonable alternative to measure sleep in intensive care patients. Clinical Trial Registration number ACTRN12615000945527 (Registered 9/9/2015).

scholarly journals Insights into the Problem of Alarm Fatigue with Physiologic Monitor Devices: A Comprehensive Observational Study of Consecutive Intensive Care Unit Patients

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110274 ◽  
Author(s):  
Barbara J. Drew ◽  
Patricia Harris ◽  
Jessica K. Zègre-Hemsey ◽  
Tina Mammone ◽  
Daniel Schindler ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Observational Study ◽  
Alarm Fatigue
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