scholarly journals Relation of Reported Sedation and Ventilator Weaning Practices to Ventilator Time in Norwegian Intensive Care Units

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Marit Bekkevold ◽  
Reidar Kvåle ◽  
Guttorm Brattebø
Keyword(s):  
Intensive Care ◽  
Deep Sedation ◽  
Ventilator Weaning ◽  
Delirium Assessment ◽  
Icu Patients ◽  
Icu Stay ◽  
Daily Sedation Interruption ◽  
Length Of Icu Stay ◽  
Weaning Protocols ◽  
Ventilator Time

Background. Guidelines for sedation, ventilator weaning, and delirium screening are helpful to avoid too deep sedation and to identify signs of delirium in the intensive care unit (ICU). Methods. National ICU registry members (n=37) were surveyed regarding use of scoring instruments and guidelines for sedation and ventilator weaning, choice of drugs, and daily sedation interruption practices. Results were merged with registry data on ventilator time and length of stay for ICU patients ventilated >24 hours (7.075 ICU stays). Results. Eighty-five percent of the 33 responding ICUs used sedation scales and 39% and 55% had sedation and weaning protocols, respectively. An association was found between using protocols and longer mean ventilator time and mean length of ICU stay. Thirty three percent (11/33) practiced daily sedation interruption. Regular delirium assessment was associated with significantly shorter mean ventilator time and mean length of ICU stay but used by few. Conclusion. More ICUs had guidelines for weaning than for sedation. The ventilator time and length of ICU stay compared well with other studies. Although having guidelines was associated with longer ventilator time and ICU stay, the differences were rather small. Daily sedation interruption was seldom used. Few units used delirium scoring instruments.

scholarly journals Attributable Cost and Length of Stay for Patients With Central Venous Catheter—Associated Bloodstream Infection in Mexico City Intensive Care Units A Prospective, Matched Analysis

2007 ◽  
Vol 28 (1) ◽  
pp. 31-35 ◽  
Author(s):  
Francisco Higuera ◽  
Manuel Sigfrido Rangel-Frausto ◽  
Victor Daniel Rosenthal ◽  
Jose Martinez Soto ◽  
Jorge Castañon ◽  
...  
Keyword(s):  
Intensive Care ◽  
Length Of Stay ◽  
Central Venous Catheter ◽  
Bloodstream Infection ◽  
Mexico City ◽  
Venous Catheter ◽  
Central Venous ◽  
Icu Stay ◽  
The Mean ◽  
Length Of Icu Stay

Background.No information is available about the financial impact of central venous catheter (CVC)-associated bloodstream infection (BSI) in Mexico.Objective.To calculate the costs associated with BSI in intensive care units (ICUs) in Mexico City.Design.An 18-month (June 2002 through November 2003), prospective, nested case-control study of patients with and patients without BSI.Setting.Adult ICUs in 3 hospitals in Mexico City.Patients and Methods.A total of 55 patients with BSI (case patients) and 55 patients without BSI (control patients) were compared with respect to hospital, type of ICU, year of hospital admission, length of ICU stay, sex, age, and mean severity of illness score. Information about the length of ICU stay was obtained prospectively during daily rounds. The daily cost of ICU stay was provided by the finance department of each hospital. The cost of antibiotics prescribed for BSI was provided by the hospitals' pharmacy departments.Results.For case patients, the mean extra length of stay was 6.1 days, the mean extra cost of antibiotics was $598, the mean extra hospital cost was $11,591, and the attributable extra mortality was 20%.Conclusions.In this study, the duration of ICU stay for patients with central venous catheter-associated BSI was significantly longer than that for control patients, resulting in increased healthcare costs and a higher attributable mortality. These conclusions support the need to implement preventive measures for hospitalized patients with central venous catheters in Mexico.

scholarly journals Clinical outcomes of gastroscopy in critically ill patients using high-dose proton pump inhibitor for suspected bleeding

2020 ◽  
Author(s):  
Won Gun Kwack
Keyword(s):  
Retrospective Study ◽  
Proton Pump Inhibitor ◽  
Proton Pump ◽  
Hemoglobin Level ◽  
High Dose ◽  
Gi Bleeding ◽  
Icu Mortality ◽  
Icu Patients ◽  
Icu Stay ◽  
Length Of Icu Stay

Abstract Background: Gastroscopy is a useful procedure for gastrointestinal (GI) bleeding. No definite clinical guidelines recommend on the choice of gastroscopy implementation in the intensive care unit (ICU) patient with suspected GI bleeding. The objective of this retrospective study was to compare the clinical effectiveness of gastroscopy in critically ill patients using high-dose proton pump inhibitor for suspected bleeding.Methods: ICU patients using a high-does proton pump inhibitor for suspected GI bleeding from January 2015 to February 2020 were retrospectively included. Massive GI bleeding, such as hematemesis and hematochezia, were excluded. After propensity score matching (PSM) between the gastroscopy and no gastroscopy groups, the change in hemoglobin level, requirement of RBC transfusion, length of ICU stay, and ICU mortality were compared. Results: Of the 116 subjects included, 34 patients had gastroscopy during ICU stay. Among the gastroscopy group, 13 (38.2%) patients showed normal findings, and the most frequent abnormal finding was gastric ulcer (n = 9, 26.5%), and 12 patients (35.3%) had a hemostatic procedure. After PSM, the gastroscopy group needed more red blood cell transfusion than the no-gastroscopy group (P = 0.01). There was no significant difference in the change in hemoglobin level (P = 0.10), length of ICU stay (P = 0.64), and ICU mortality (P = 0.55).Conclusion: This retrospective study showed that gastroscopy had no definite clinical benefit in ICU patients using high-dose proton pump inhibitor for suspected GI bleeding.

scholarly journals Epidemiology and prognosis of anti-infective therapy in the ICU setting during acute pancreatitis: a cohort study

Critical Care ◽  
2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Philippe Montravers ◽  
Elie Kantor ◽  
Jean-Michel Constantin ◽  
Jean-Yves Lefrant ◽  
Thomas Lescot ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Hospital Mortality ◽  
Therapeutic Interventions ◽  
Therapeutic Management ◽  
Pulmonary Infections ◽  
Prescribing Practices ◽  
Icu Patients ◽  
Icu Stay ◽  
Large Heterogeneity ◽  
Length Of Icu Stay

Abstract Background Recent international guidelines for acute pancreatitis (AP) recommend limiting anti-infective therapy (AIT) to cases of suspected necrotizing AP or nosocomial extrapancreatic infection. Limited data are available concerning empirical and documented AIT prescribing practices in patients admitted to the intensive care unit (ICU) for the management of AP. Methods Using a multicentre, retrospective (2009–2014), observational database of ICU patients admitted for AP, our primary objective was to assess the incidence of AIT prescribing practices during the first 30 days following admission. Secondary objectives were to assess the independent impact of centre characteristics on the incidence of AIT and to identify factors associated with crude hospital mortality in a logistic regression model. Results In this cohort of 860 patients, 359 (42%) received AIT on admission. Before day 30, 340/359 (95%) AIT patients and 226/501 (45%) AIT-free patients on admission received additional AIT, mainly for intra-abdominal and lung infections. A large heterogeneity was observed between centres in terms of the incidence of infections, therapeutic management including AIT and prognosis. Administration of AIT on admission or until day 30 was not associated with an increased mortality rate. Patients receiving AIT on admission had increased rates of complications (septic shock, intra-abdominal and pulmonary infections), therapeutic (surgical, percutaneous, endoscopic) interventions and increased length of ICU stay compared to AIT-free patients. Patients receiving delayed AIT after admission and until day 30 had increased rates of complications (respiratory distress syndrome, intra-abdominal and pulmonary infections), therapeutic interventions and increased length of ICU stay compared to those receiving AIT on admission. Risk factors for hospital mortality assessed on admission were age (adjusted odds ratio [95% confidence interval] 1.03 [1.02–1.05]; p < 0.0001), Balthazar score E (2.26 [1.43–3.56]; p < 0.0001), oliguria/anuria (2.18 [1.82–4.33]; p < 0.0001), vasoactive support (2.83 [1.73–4.62]; p < 0.0001) and mechanical ventilation (1.90 [1.15–3.14]; p = 0.011), but not AIT (0.63 [0.40–1.01]; p = 0.057). Conclusions High proportions of ICU patients admitted for AP receive AIT, both on admission and during their ICU stay. A large heterogeneity was observed between centres in terms of incidence of infections, AIT prescribing practices, therapeutic management and outcome. AIT reflects the initial severity and complications of AP, but is not a risk factor for death.

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.

Clock Genes Disruption in the Intensive Care Unit

2019 ◽  
Vol 35 (12) ◽  
pp. 1497-1504
Author(s):  
Elena Diaz ◽  
Irene Diaz ◽  
Cecilia del Busto ◽  
Dolores Escudero ◽  
Silvia Pérez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mrna Expression ◽  
Clock Gene ◽  
Clock Genes ◽  
Biological Clock ◽  
Icu Patients ◽  
Time Points ◽  
Icu Stay ◽  
The Impact

Background: Intensive care unit (ICU) environment disrupts the circadian rhythms due to environmental and other nonphotic synchronizers. The main purpose of this article is to establish whether critically patients have desynchronization at the molecular level after 1 week of stay in the ICU. Methods: The rhythm of Clock, Bmal1, Cry1, and Per2 genes in neuro-ICU patients (n = 11) on the first day after admission in the unit (1 day) and 1 week later (1 week) was studied, 4 time points throughout the day, at 6, 12, 18, and 24 hours. Human whole blood samples were obtained from neuro-ICU patients. The total RNA was isolated and each sample was reverse transcribed to complementary DNA and quantitative polymerase chain reaction (PCRq) was performed. The possible rhythm was studied using Fourier Series. Results: After 1 week, the clock gene rhythmicity completely disappeared. Messenger RNA (mRNA) expression for the 4 clock genes was shown rhythmicity at the first day after admission in the ICU. Circadian rhythmicity for none of them was observed but rather, ultradian rhythmicity was found. The expression of Clock, Bmal1, and Per2 mRNA after 1 week was similar in the 4-time point studies without significant fluctuation among the 4 time points analyzed. Discussion: Rhythmic mRNA expression is present at the first day after admission in the ICU. However, ICU stay during 1 week affects the molecular machinery of the biological clock generating chronodisruption. Circadian disruption is associated with the risk of several pathologies, thus, it seems to be clear that ICU stay in constant conditions could adversely affect patient evolution and probably, circadian resynchronization restoring clock gene expression could lead to a better clinical evolution of the patient. Conclusions: Clock genes disruption is observed in neuro-ICU patients. Light therapy as well as melatonin treatment could reduce the impact of ICU stay period in biological clock, thereby improving patients’ recovery.

Comparison of Sensitivity, Specificity and Accuracy of APACHE II, SAPS II and SOFA Scoring Systems as Predictors

2021 ◽  
Vol 15 (12) ◽  
pp. 3364-3366
Author(s):  
Aamir Furqan ◽  
Mehwish Naseer ◽  
Rafia Tabassum
Keyword(s):  
Intensive Care ◽  
Scoring System ◽  
Scoring Systems ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Icu Patients ◽  
Saps Ii ◽  
Icu Stay ◽  
Study Results ◽  
Sensitivity Specificity

Aim: To compare the APACHE II, SAPS II and SOFA scoring systems as predictors of mortality in ICU patients in terms of sensitivity, specificity and accuracy. Methodology: A prospective observational study. Intensive care unit from May 13, 2018 to September 15, 2021. For 1368 patients included in study, results for APACHE II, SAPS II and SOFA were calculated with the worst values recorded. At the end of ICU stay, patient outcome was labelled as survivors and non-survivors. The cut off value for APACHE II, SAPS II and SOFA was taken as 50% of the highest possible score, with <50% expected to survive and with ≥50% expected to die during their ICU stay. Cross tables were made against real outcome of the patients, and sensitivity, specificity and accuracy for APACHE II, SAPS II and SOFA were calculated. Results: Sensitivity, specificity and accuracy were 77.53%, 94.28% and 85.45% for APACHE II scoring system; 47.29%, 87.32%, and 66.23% for SAPS II scoring system; and 73.37%, 60.28%, and 67.18% for SOFA scoring system, respectively. Conclusion: Apache Ii scoring system has highest sensitivity, specificity and accuracy in mortality prediction in ICU patients as compared to SAPS II and SOFA scoring systems, with SAPS II being least sensitive and accurate. Keywords: Sensitivity, specificity, accuracy, Acute Physiology and Chronic Health Evaluation (APACHE II), Simplified Acute Physiology Score (SAPS II), Sequential Organ Failure Assessment (SOFA), Intensive care units (ICU), Mortality.

Efficacy and Safety of a Paired Sedation and Ventilator Weaning Protocol for Mechanically Ventilated Patients in Intensive Care

2018 ◽  
pp. 27-32
Author(s):  
Jeffery Katz ◽  
Steve Greenberg
Keyword(s):  
Intensive Care ◽  
Intervention Group ◽  
Ventilator Weaning ◽  
Control Group ◽  
Mechanical Ventilator ◽  
Efficacy And Safety ◽  
Icu Patients ◽  
Mechanically Ventilated ◽  
Improved Outcomes ◽  
Spontaneous Breathing Trials

The chapter entitled examines the efficacy of pairing daily sedation awakening trials (SAT) with daily spontaneous breathing trials (SBT) in intensive care unit (ICU) patients on a mechanical ventilator. Three-hundred thirty-six ICU patients requiring mechanical ventilation for > 12 hours and eligible for a ventilator weaning trial were included. The authors compared the number of ventilator-free days in patients who received an SBT alone versus an SAT + SBT. Patients in the intervention group (SAT + SBT) spent a mean of 3.1 more days liberated from the ventilator when compared to the control group. Medical ICU patients undergoing paired SAT + SBT may experience improved outcomes versus those with SBT alone.

scholarly journals A systematic review of the impact of intensive care admissions on post discharge cognition in children

2021 ◽  
Author(s):  
Ana Sánchez-Moreno Royer ◽  
Jamiu O. Busari
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Cognitive Development ◽  
High Risk ◽  
Pediatric Patients ◽  
Post Discharge ◽  
Icu Stay ◽  
Short And Long Term ◽  
Length Of Icu Stay

AbstractUnderstanding how hospitalization affects cognitive development is crucial to safeguard children’s cognition; however, there is little research evaluating the associations between NICU or PICU hospitalization and survivors’ cognition. The objective of this study is to identify and characterize the associations between a neonatal or pediatric ICU hospitalization and the short- and long-term cognition of survivors. The databases Cochrane Library, Medline, EBSCO, Embase, and Google Scholar and the journals JAMA Pediatrics, Journal of Pediatrics, Pediatrics, Archives of Disease in Childhood, Academic Pediatrics, Pediatric Critical Care Medicine and Child Development were searched until April 2021. Retrieved article references were analyzed. Included articles investigated cognition as an outcome of ICU hospitalization in non-preterm neonatal or pediatric patients. Case studies and studies analyzing diagnosis or treatment interventions were excluded. Four prospective cohort or case-control studies and two retrospective cohort studies were included, totaling 2172 neonatal and 42368 pediatric patients. Quality assessment using the BMJ Criteria and Cochrane Collaboration’s Risk-of-Bias tool displayed good results. Significant negative associations were found between neonatal cognition and length-of-ICU-stay at 9- (p<0.001) and 24 months (p<0.01), and between pediatric cognition and length-of-ICU-stay at discharge (p<0.001). Additional weeks on the neonatal ICU increased odds of impairment at 9- (OR 1.08, 95%CI 1.034–1.112) and 24 months (OR 1.11, 95%CI 1.065–1.165).Conclusion: There is a significant negative correlation between NICU and PICU hospitalization and the short- and long-term cognitive status. Future research must identify patient- and hospital-related risk factors and develop management strategies. What is Known:• Cognitive development relies on the presence of stimulating factors and absence of risk factors, and is hypothesized to be directly and indirectly affected by hospitalization in the short and long term.• No research examines the relation between survivor cognition post-discharge of a general pediatric hospitalization, and scarcely more of a neonatal or pediatric intensive care hospitalization. What is New:• NICU and PICU hospitalization is independent risk factors for survivor impaired cognition in the short and in the long term with a dose-response effect. High risk patients for cognitive impairment should be identified and appropriately followed-up.• Patients with an ICU hospitalization of over 2.5 days and two or more of the following factors should be considered high risk: increased mortality risk, invasive interventions, neurological or oncological diagnosis, postnatal complications or decreased maternal mental health status.

scholarly journals Demographic and clinical profile with early outcome of critically ill COVID-19 patients admitted in an ICU of a tertiary care hospital in Dhaka, Bangladesh

2020 ◽  
pp. 51-55
Author(s):  
ASM Areef Ahsan ◽  
Rozina Sultana ◽  
Kaniz Fatema ◽  
Fatema Ahmed ◽  
Debasish Kumar Saha ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Rt Pcr ◽  
Demographic Profile ◽  
Icu Stay ◽  
Length Of Icu Stay

Background: First outbreak of corona virus disease (COVID-19) started in Wuhan, China at December 2019 and since then, it spread globally but information about critically ill patients with COVID-19 is still limited. So, it is important to know the demographic profile and overall outcome of COVID-19 patients. We aimed to describe the clinic-demographic characteristics and outcome of critically ill COVID-19 patients admitted in our intensive care unit. Methods: This prospective observational study was carried out in the intensive care unit of department of Critical Care Medicine of BIRDEM General Hospital, Dhaka, Bangladesh from 11th June to 31st October, 2020. Out of 382 suspected cases, 86 patients were found to be RT-PCR for COVID-19 positive and were included in this study. After admission in ICU, all patients were resuscitated according to ICU protocol. Length of ICU stay were recorded and patient outcomes were mentioned as survival (transferred or discharged) or death. Results: A total of 86 patients (male 53, female 33, mean age 63.6 ± 12.8 years) with RT-PCR for COVID-19 positive were enrolled in this study. Regarding COVID related symptoms, Ninety six percent(83) had respiratory distress, 93.02 % (n=80) had cough, 84.9% (n=73) had history of fever,11.6 % (n=10) had loose motion and 7% (n=6), had anosmia. Diabetes mellitus (DM) was the most common co morbidity (91.9%).For improvement of oxygenation of COVID patient, we treated 7% of patients (n=6) by nasal Cannula, 24.4% (n=21) by Face Mask, 20.9% (n=18) by Non Rebreather Mask, 22.1% (n= 19) by High Flow Nasal Cannula (HFNC) and 25.6% (n= 22) by Mechanical Ventilation. Mean length of ICU stay were 6.9 ± 3.6 days and range of icu stay were 1-20 days. Among 86 COVID patient, 51.16% (n=44) were transferred to the isolation ward or discharged at home and 48.8% (n=42) were died. Conclusion: This study showed the overall demographic and clinical features of critically ill COVID-19 patients, admitted in an icu of a tertiary care hospital. As it is a single centered study, we need more study with multi center approach to know the detail demographic profile and outcome of COVID-19 patients. Birdem Med J 2020; 10, COVID Supplement: 51-55

scholarly journals Prediction Algorithm for ICU Mortality and Length of Stay Using Machine Learning

2021 ◽  
Author(s):  
Shinya IWASE ◽  
Taka-aki Nakada ◽  
Tadanaga Shimada ◽  
Takehiko Oami ◽  
Takashi Shimazui ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Length Of Stay ◽  
Predictive Value ◽  
Predictive Accuracy ◽  
Supervised Machine Learning ◽  
Icu Patients ◽  
Icu Stay ◽  
Precise Prediction ◽  
Length Of Icu Stay

Abstract Background: Machine learning can predict outcomes and determine variables contributing to precise prediction, and can thus classify patients with different risk factors of outcomes. This study aimed to investigate the predictive accuracy for mortality and length of stay in intensive care unit (ICU) patients using machine learning, and to identify the variables contributing to the precise prediction or classification of patients.Methods: Patients (n=12,747) admitted to the ICU at Chiba University Hospital were randomly assigned to the training and test cohorts. After learning using the variables on admission in the training cohort, the area under the curve (AUC) was analyzed in the test cohort to evaluate the predictive accuracy of the supervised machine learning classifiers, including random forest (RF) for outcomes (primary outcome, mortality; secondary outcome, and length of ICU stay). The rank of the variables that contributed to the machine learning prediction was confirmed, and cluster analysis of the patients with risk factors of mortality was performed to identify the important variables associated with patient outcomes.Results: Machine learning using RF revealed a high predictive value for mortality, with an AUC of 0.945. In addition, RF showed high predictive value for short and long ICU stays, with AUCs of 0.881 and 0.889, respectively. Lactate dehydrogenase (LDH) was identified as a variable contributing to the precise prediction in machine learning for both mortality and length of ICU stay. LDH was also identified as a contributing variable to classify patients into sub-populations based on different risk factors of mortality.Conclusion: The machine learning algorithm could predict mortality and length of stay in ICU patients with high accuracy. LDH was identified as a contributing variable in mortality and length of ICU stay prediction and could be used to classify patients based on mortality risk.

Sign in / Sign up

Export Citation Format

Share Document