scholarly journals Temperature Profile and Adverse Outcomes After Discharge From the Intensive Care Unit

2022 ◽  
Vol 31 (1) ◽  
pp. e1-e9
Author(s):  
Rob Boots ◽  
Gabrielle Mead ◽  
Oliver Rawashdeh ◽  
Judith Bellapart ◽  
Shane Townsend ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Charlson Comorbidity Index ◽  
Core Body Temperature ◽  
Adverse Outcomes ◽  
Clinical Tool ◽  
Clinical Events ◽  
Mechanical Ventilation Duration ◽  
Icu Discharge ◽  
Comorbidity Index

Background A predictive model that uses the rhythmicity of core body temperature (CBT) could be an easily accessible clinical tool to ultimately improve outcomes among critically ill patients. Objectives To assess the relation between the 24-hour CBT profile (CBT-24) before intensive care unit (ICU) discharge and clinical events in the step-down unit within 7 days of ICU discharge. Methods This retrospective cohort study in a tertiary ICU at a single center included adult patients requiring acute invasive ventilation for more than 48 hours and assessed major clinical adverse events (MCAEs) and rapid response system activations (RRSAs) within 7 days of ICU discharge (MCAE-7 and RRSA-7, respectively). Results The 291 enrolled patients had a median mechanical ventilation duration of 139 hours (IQR, 50-862 hours) and at admission had a median Acute Physiology and Chronic Health Evaluation II score of 22 (IQR, 7-42). At least 1 MCAE or RRSA occurred in 64% and 22% of patients, respectively. Independent predictors of an MCAE-7 were absence of CBT-24 rhythmicity (odds ratio, 1.78 [95% CI, 1.07-2.98]; P = .03), Sequential Organ Failure Assessment score at ICU discharge (1.10 [1.00-1.21]; P = .05), male sex (1.72 [1.04-2.86]; P = .04), age (1.02 [1.00-1.04]; P = .02), and Charlson Comorbidity Index (0.87 [0.76-0.99]; P = .03). Age (1.03 [1.01-1.05]; P = .006), sepsis at ICU admission (2.02 [1.13-3.63]; P = .02), and Charlson Comorbidity Index (1.18 [1.02-1.36]; P = .02) were independent predictors of an RRSA-7. Conclusions Use of CBT-24 rhythmicity can assist in stratifying a patient’s risk of subsequent deterioration during general care within 7 days of ICU discharge.

scholarly journals Severity of Sleep Apnea and COVID-19 Illness

OTO Open ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 2473974X2110162
Author(s):  
Meryl B. Kravitz ◽  
Elizabeth Yakubova ◽  
Nick Yu ◽  
Steven Y. Park
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Sleep Apnea ◽  
Intensive Care Unit Admission ◽  
Medical Record ◽  
Charlson Comorbidity Index ◽  
Composite Outcome ◽  
Comorbidity Index ◽  
Severe Sleep Apnea

Objective To characterize the relationship between severity of sleep apnea and coronavirus disease 2019 (COVID-19) hospitalization and severe illness. Study Design Retrospective cohort study. Setting Montefiore Health System in the Bronx, New York. Methods The data set consisted of adult patients with an active diagnosis of obstructive sleep apnea in the past 2 years and a positive severe acute respiratory syndrome coronavirus 2 quantitative polymerase chain reaction test at our institution between March 16, 2020, and May 26, 2020. Sleep apnea severity and continuous positive airway pressure compliance data were abstracted from the electronic medical record. The International Classification of Diseases, 10th Revision was used to classify comorbidities. Results A total of 461 patients with sleep apnea tested positive for COVID-19, of whom 149 were excluded for missing data in the electronic medical record. Patients with moderate and severe sleep apnea had higher rates of COVID-19 hospitalization compared to those with mild sleep apnea ( P = .003). This association was reduced when accounting for confounders, most notably the Charlson Comorbidity Index, a measure of comorbid illness burden. Moderate and severe sleep apnea were associated with increased Charlson Comorbidity Indices, compared to mild sleep apnea ( P = .01). Sleep apnea severity was not associated with a composite outcome of mechanical ventilation, intensive care unit admission, and death. Conclusion Sleep apnea severity was associated with the Charlson Comorbidity Index and may be a risk factor for COVID-19 hospitalization. We found no evidence that sleep apnea severity among hospitalized patients was associated with a composite outcome of mechanical ventilation, intensive care unit admission, and death.

scholarly journals Families' perception, knowledge, and psychological stressors associated with transition of care from the intensive care unit

2019 ◽  
Vol 2 (1) ◽  
pp. 53-56
Author(s):  
Gustavo Ferrer ◽  
Chi Chan Lee ◽  
Monica Egozcue ◽  
Hector Vazquez ◽  
Melissa Elizee ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Health Care Providers ◽  
Family Members ◽  
Expected Improvement ◽  
Transition Of Care ◽  
Care Providers ◽  
Icu Discharge ◽  
Family Perceptions

Background: During the process of transition of care from the intensive care setting, clarity, and understanding are vital to a patient's outcome. A successful transition of care requires collaboration between health-care providers and the patient's family. The objective of this project was to assess the quality of continuity of care with regard to family perceptions, education provided, and psychological stress during the process. Methods: A prospective study conducted in a long-term acute care (LTAC) facility. On admission, family members of individuals admitted to the LTAC were asked to fill out a 15-item questionnaire with regard to their experiences from preceding intensive care unit (ICU) hospitalization. The setting was an LTAC facility. Patients were admitted to an LTAC after ICU admission. Results: Seventy-six participants completed the questionnaire: 38% expected a complete recovery, 61% expected improvement with disabilities, and 1.3% expected no recovery. With regard to the length of stay in the LTAC, 11% expected < 1 week, 26% expected 1 to 2 weeks, 21% expected 3 to 4 weeks, and 42% were not sure. Before ICU discharge, 33% of the participants expected the transfer to the LTAC. Also, 72% did not report a satisfactory level of knowledge regarding their family's clinical condition or medical services required; 21% did not receive help from family members; and 50% reported anxiety, 20% reported depression, and 29% reported insomnia. Conclusion: Families' perception of patients' prognosis and disposition can be different from what was communicated by the physician. Families' anxiety and emotional stress may precipitate this discrepancy. The establishment of optimal projects to eliminate communication barriers and educate family members will undoubtedly improve the quality of transition of care from the ICU.

scholarly journals Carbapenem-resistant Enterobacteriaceae carriage risk for parameterization of a regional healthcare network agent-based model

2020 ◽  
Vol 41 (S1) ◽  
pp. s148-s149
Author(s):  
Sarah Rhea ◽  
Lei Li ◽  
Pooja Iyer ◽  
Lauren DiBiase ◽  
Kasey Jones ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Intensive Care Unit Stay ◽  
Agent Based ◽  
Healthcare Network ◽  
Transmission Parameters ◽  
Carbapenem Resistant ◽  
Comorbidity Index ◽  
Systemic Antibiotics

Background: Carbapenem-resistant Enterobacteriaceae (CRE) are increasingly common in the United States and have the potential to spread widely across healthcare networks. Only a fraction of patients with CRE carriage (ie, infection or colonization) are identified by clinical cultures. Interventions to reduce CRE transmission can be explored with agent-based models (ABMs) comprised of unique agents (eg, patients) represented by a synthetic population or model-generated representation of the population. We used electronic health record data to determine CRE carriage risk, and we discuss how these results can inform CRE transmission parameters for hospitalized agents in a regional healthcare network ABM. Methods: We reviewed the laboratory data of patients admitted during July 1, 2016−June 30, 2017, to any of 7 short-term acute-care hospitals of a regional healthcare network in North Carolina (N = 118,022 admissions) to find clinically detected cases of CRE carriage. A case was defined as the first occurrence of Enterobacter spp, Escherichia coli, or Klebsiella spp resistant to any carbapenem isolated from a clinical specimen in an admitted patient. We used Poisson regression to estimate clinically detected CRE carriage risk according to variables common to data from both the electronic health records and the ABM synthetic population, including patient demographics, systemic antibiotic administration, intensive care unit stay, comorbidities, length of stay, and admitting hospital size. Results: We identified 58 (0.05%) cases of CRE carriage among all admissions. Among these cases, 30 (52%) were ≥65 years of age and 37 (64%) were female. During their admission, 47 cases (81%) were administered systemic antibiotics and 18 cases (31%) had an intensive care unit stay. Patients administered systemic antibiotics and those with an intensive care unit stay had CRE carriage risk 6.5 times (95% CI, 3.4–12.5) and 4.9 times (95% CI, 2.8–8.5) higher, respectively, than patients without these exposures (Fig. 1). Patients ≥50 years of age and those with a higher Elixhauser comorbidity index score and with longer length of stay also had increased CRE carriage risk. Conclusions: Among admissions in our dataset, CRE carriage risk was associated with systemic antibiotic exposure, intensive care unit stay, higher Elixhauser comorbidity index score, and longer length of stay. We will use these risk estimates in the ABM to inform agents’ CRE carriage status upon hospital admission and the CRE transmission parameters for short-term acute-care hospitals. We will explore CRE transmission interventions in the parameterized regional healthcare network ABM and assess the impact of CRE carriage underestimation.Funding: This work was supported by Centers for Disease Control and Prevention (CDC) Cooperative Agreement number U01CK000527. The conclusions, findings, and opinions expressed do not necessarily reflect the official position of CDC.Disclosures: None

Hyperoxia is associated with adverse outcomes in the cardiac intensive care unit: insights from the Medical Information Mart for Intensive Care (MIMI-III) database

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A.Y Lui ◽  
L Garber ◽  
M Vincent ◽  
L Celi ◽  
J Masip ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Logistic Regression ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Positive Pressure ◽  
Cardiac Intensive Care Unit ◽  
Multivariable Logistic Regression ◽  
Cardiac Intensive Care

Abstract Background Hyperoxia produces reactive oxygen species, apoptosis, and vasoconstriction, and is associated with adverse outcomes in patients with heart failure and cardiac arrest. Our aim was to evaluate the association between hyperoxia and mortality in patients (pts) receiving positive pressure ventilation (PPV) in the cardiac intensive care unit (CICU). Methods Patients admitted to our medical center CICU who received any PPV (invasive or non-invasive) from 2001 through 2012 were included. Hyperoxia was defined as time-weighted mean of PaO2 &gt;120mmHg and non-hyperoxia as PaO2 ≤120mmHg during CICU admission. Primary outcome was in-hospital mortality. Multivariable logistic regression was used to assess the association between hyperoxia and in-hospital mortality adjusted for age, female sex, Oxford Acute Severity of Illness Score, creatinine, lactate, pH, PaO2/FiO2 ratio, PCO2, PEEP, and estimated time spent on PEEP. Results Among 1493 patients, hyperoxia (median PaO2 147mmHg) during the CICU admission was observed in 702 (47.0%) pts. In-hospital mortality was 29.7% in the non-hyperoxia group and 33.9% in the hyperoxia group ((log rank test, p=0.0282, see figure). Using multivariable logistic regression, hyperoxia was independently associated with in-hospital mortality (OR 1.507, 95% CI 1.311–2.001, p=0.00508). Post-hoc analysis with PaO2 as a continuous variable was consistent with the primary analysis (OR 1.053 per 10mmHg increase in PaO2, 95% CI 1.024–1.082, p=0.0002). Conclusions In a large CICU cohort, hyperoxia was associated with increased mortality. Trials of titration of supplemental oxygen across the full spectrum of critically ill cardiac patients are warranted. Funding Acknowledgement Type of funding source: None

scholarly journals Cardiac function during COVID-19 intensive care unit hospitalisation - deformation analysis and outcomes

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
F Loncaric ◽  
JF Fernandes ◽  
M Sitges ◽  
B Stessel ◽  
J Dubois ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Cardiac Function ◽  
Deformation Analysis ◽  
P Value ◽  
Prognostic Information ◽  
Horizon 2020 ◽  
Cardiac Strain ◽  
Icu Discharge ◽  
Public Grant

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – EU funding. Main funding source(s): Horizon 2020 European Commission Project H2020-MSCA-ITN-2016 Background Although the cardiac burden of COVID-19 has been demonstrated, follow-up imaging studies are scarce. The aim was to use speckle-tracking deformation imaging (STE) to prospectively assess cardiac function during intensive care unit (ICU) hospitalisation, comparing ventricular and atrial function of COVID-10 patients that died and those that were discharged. Methods In a single-centre, COVID-19 patients (n = 41) (71% male, aged 65 ± 11 years) were prospectively followed with echocardiography as part of ICU treatment. The left and right ventricles (LV, RV, respectively) were studied with STE in the 4-chamber cardiac view. The endpoint was defined as death or ICU discharge. Average values of the strain parameters from the first and final scans in the ICU, respectively, were calculated for the two outcome groups. Results Endpoint was not reached in 15% (n = 6) at the time of analysis. The remaining patients (n = 32) were 69% male, aged 66 (interquartile range (IQR) 60-72) years, and with an ICU mortality 26% (n = 9). The median spent in ICU was 24 (IQR 15-43) days. On average, echocardiography was performed three times during ICU hospitalisation, amounting to 103 examinations. The changes in cardiac strain are shown in Table 1. The change in LV longitudinal strain during ICU hospitalisation is shown in Figure 1. Conclusion Worsening of LV strain and lack of improvement of RV strain is linked to higher mortality in the ICU. The assessment of cardiac function might contain prognostic information in COVID-19 patients that are admitted to the ICU. Patients discharged from thee OCU (n = 23) Patients that died in the ICU (n = 9) P value Initial echo in the ICU LV strain, % (IQR) 18.00 (15.6-19.95) 14.4 (10.56-20.42) 0.158 RV strain, % (IQR) 16.00 (14.70-20.05) 15.50 (10.38-23.70) 0.712 Final echo before discharge LV strain, % (IQR) 17.35 (15.13-18.98) 13.20 (10.75-15.40) 0.007 RV strain, % (IQR) 17.65 (16.83-19.60) 15.75 (10.68-20.43) 0.438 ICU - intensive care unit; IQR-inter-quartile range Abstract Figure 1

scholarly journals Risk Factors for diarrhea associated with Clostridium difficile in patients at a clinical hospital

2019 ◽  
Vol 91 (11) ◽  
pp. 20-25
Author(s):  
Y N Yarushina ◽  
G B Kolotova ◽  
V A Rudnov ◽  
V A Bagin
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Clostridium Difficile ◽  
Antibiotic Therapy ◽  
Case Histories ◽  
Clinical Hospital ◽  
Comorbidity Index ◽  
Autonomous Institution ◽  
Therapeutic Profile

Aim: to identify risk factors for Clostridium difficile infection in patients of a therapeutic clinic in a multidisciplinary hospital. Materials and methods. A retrospective analysis of 110 case histories of patients who were hospitalized in therapeutic departments in the Municipal Autonomous Institution “City Clinical Hospital No. 40” in Yekaterinburg (MAU City Clinical Hospital No. 40) in 2014-2015 was conducted, in which antibiotic therapy has developed diarrhea. According to the results of the study of coprofiltrate on Clostridium difficile (CD), patients were divided into 2 groups: 60 patients with a positive result and 50 patients with a negative result. Results. The proportion of patients with CD infection in the structure of patients of the therapeutic profile of the MAU GKB No.40 for 2014-2015 amounted to 0.42%. Predictors of the risk of developing diarrhea associated with CD infection in patients are: age over 65 years (OS 4.33, 95% CI 1.15-16.20, p=0.028), Charlson comorbidity index more than 2 points (OS 3.05, 95% CI 1.29-7.23, p=0.016), the presence of anemia (OR 2.32, 95% CI 1.07-5.02, p=0.048), chronic dialysis in patients with chronic renal insufficiency (CRF) (OR 8.64, 95% CI 1.05-70.81, p=0.020), patients staying in hospital for more than 5 days (OR 3.50, 95% CI 1.57-7.75, p=0.003) and hospitalization of patients in the intensive care unit (ICU) lasting more than 1 day (OS 9.80, 95% CI 1.20-79.47, p=0.011), the use of proton pump inhibitors (PPIs) (OR 2.82, 95% CI 1.12-7.11, p=0.041), antibiotic therapy more than 10 days (OS 39.62, 95% CI 10.85-144.71, p

scholarly journals Association between early mobilization or rehabilitation and intensive care unit acquired weakness: A systematic review and meta-analysis of randomized controlled trials.

2020 ◽  
Author(s):  
Minghang Li ◽  
Mingyue Ding ◽  
Huanzhang Shao ◽  
Bingyu Qin ◽  
Xingwei Wang ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Meta Analysis ◽  
Early Mobilization ◽  
Standard Of Care ◽  
Cochrane Library ◽  
Care Group ◽  
China National Knowledge Infrastructure ◽  
Number Of Patients ◽  
Icu Discharge

Abstract Background The prognosis of intensive care unit acquired weakness (ICUAW) is poor and the treatment effect is not ideal. At present, some effective and safe early prevention means are urgently needed to reduce its incidence.This study evaluated the effectiveness and safety of early activities or rehabilitation in the prevention of ICUAW. Methods We searched for articles in five electronic databases, including PubMed, EMBASE, the Cochrane Library, the China National Knowledge Infrastructure (CNKI) and Wanfang Med Online. All publications until June, 2020 were searched. We have selected trials investigating early mobilization or rehabilitation as compared to standard of care in critically ill adults.The extracted data included adverse events, the number of patients with ICUAW, the length of stay in the ICU (ICU-LOS) the length of mechanical ventilation (MV) etc. Results The final results showed that compared with the usual care group, early mobilization or rehabilitation reduced the prevalence of ICUAW (RR, 0.73; [0.61, 0.87]; I2 = 44%; P = 0.0006), ICU-LOS (MD, − 1.47;[2.83, 0.10]; I2 = 56%; P = 0.04), length of MV (MD, − 1.96; [2.41, 1.51]; I2 = 0%; P = 0.00001), but the mortality (RR, 0.90; [0.62, 1.32]; I2 = 3%; P = 0.60) at ICU discharge was not associated. The subgroup analysis of ICUAW prevalence and ICU-LOS based on the intervention methods showed that early combined rehabilitation could reduce the prevalence of ICUAW (RR, 0.56; [0.43, 0.74]; I2 = 34%; P = 0.0001) and shorten the ICU-LOS (MD, − 2.21; [3.28, 0.97]; I2 = 23%; P = 0.0003). EGDM was not associated with a decrease in ICUAW prevalence (RR, 0.85; [0.65, 1.09]; I2 = 26%; P = 0.20), but it reduced the ICU-LOS (MD, − 2.27; [3.86, 0.68]; I2 = 0%; P = 0.005).Early in-bed cycling was not associated with reduced ICUAW prevalence(RR, 1.25; [0.73, 2.13]; I2 = 0%; P = 0.41) and ICU-LOS(MD, 2.27; [0.27, 4.80]; I2 = 0%; P = 0.08) . Conclusions Early mobilization or rehabilitation was associated with a shorter length of MV and ICU-LOS, but not mortality. Of course, not all early activities or forms of rehabilitation are effective. The early combined rehabilitation model is effective for the prevention of ICUAW. However, EGDM and early in-bed cycling were not effective in preventing ICUAW.

scholarly journals Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit

Critical Care ◽  
2017 ◽  
Vol 21 (1) ◽  
Author(s):  
Eli J. Finkelsztein ◽  
Daniel S. Jones ◽  
Kevin C. Ma ◽  
Maria A. Pabón ◽  
Tatiana Delgado ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Adverse Outcomes
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