scholarly journals Serum Cortisol as a Predictor of Major Adverse Pulmonary Event in Emergency Department Acutely Dyspneic Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Ozlem Dikme ◽  
Ozgur Dikme
Keyword(s):  
Heart Failure ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Adrenal Glands ◽  
Steroid Hormone ◽  
Serum Cortisol ◽  
Adverse Outcomes ◽  
All Cause Mortality ◽  
Cortisol Levels

Cortisol is a steroid hormone released from the adrenal glands in response to stressful conditions. Elevated cortisol levels have been described in stress, but it is unclear whether these are associated with adverse outcomes. In this study, we assess whether cortisol levels drawn in patients presenting with dyspnea to the ED were a predictor of major adverse pulmonary event (MAPE). In 87 patients presenting with dyspnea to the ED, cortisol levels were determined. Patients were then assessed to determine the following MAPE: endotracheal intubation (ETI) in the ED, admission to the intensive care unit (ICU), and in-hospital all-cause mortality. Forty-four patients (50.6%) were female and 33 (37.9%) were diagnosed with heart failure. Cortisol levels in patients with and without MAPE were 34.3μg/dL and 23.8μg/dL, respectively (p<0.001). Also, cortisol levels were found higher in patients intubated in the ED than nonintubated patients (54.2μg/dL vs 25.7μg/dL, p<0.001), higher in patients admitted to the ICU (38.7μg/dL vs 24 μg/dL, p<0.001), and higher in patients who died in hospital (50μg/dL vs 24.3μg/dL, p<0.001). The area under the ROC curve using cortisol to detect any component of MAPE—ETI or ICU admission or in-hospital all-cause mortality—was 0.76 (95% CI, 0.65-0.84). A cortisol value of 31.4μg/dL had sensitivity of 70.8% and specificity of 79.4% for predicting MAPE. Patients in the MAPE group had higher serum cortisol levels than those without any MAPE. Cortisol may be used as a marker to predict MAPE in nontraumatic acutely dyspneic adult patients on ED admission.

scholarly journals Etomidate in the management of severe Cushing’s disease and MRSA bacteraemia in a district general hospital in the United Kingdom

2019 ◽  
Vol 2019 ◽  
Author(s):  
Stephanie Wei Ping Wong ◽  
Yew Wen Yap ◽  
Ram Prakash Narayanan ◽  
Mohammad Al-Jubouri ◽  
Ashley Grossman ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
General Hospital ◽  
Cushing’S Disease ◽  
District General Hospital ◽  
Serum Cortisol ◽  
Cushing's Disease ◽  
High Morbidity ◽  
List Type ◽  
Cortisol Levels

Summary We report our experience on managing a case of florid Cushing’s disease with Methicillin-resistant Staphylococcus aureus (MRSA) sepsis using intravenous etomidate in the intensive care unit of a UK district general hospital. Learning points: Severe Cushing’s syndrome is associated with high morbidity and mortality. Etomidate is a safe and effective medical therapy to rapidly lower cortisol levels even in the context of severe sepsis and immunosuppression. Etomidate should ideally be administered in an intensive care unit but is still feasible in a district general hospital. During treatment with etomidate, accumulation of serum 11β-deoxycortisol (11DOC) levels can cross-react with laboratory cortisol measurement leading to falsely elevated serum cortisol levels. For this reason, serum cortisol measurement using a mass spectrometry assay should ideally be used to guide etomidate prescription.

Abstract P146: Depression Predicts Increased Healthcare Utilization and Death Among Community Patients with Heart Failure

2011 ◽  
Vol 4 (suppl_2) ◽  
Author(s):  
Amanda R Moraska ◽  
Alanna M Chamberlain ◽  
Nilay D Shah ◽  
Kristin S Vickers ◽  
Shannon M Dunlay ◽  
...  
Keyword(s):  
Heart Failure ◽  
Emergency Department ◽  
Healthcare Utilization ◽  
Severe Depression ◽  
Adverse Outcomes ◽  
Hazard Ratios ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Severity Of Depression ◽  
Ed Visits

Background: The increasing prevalence of heart failure (HF) and high associated costs has spurred investigation of factors related to adverse outcomes in these patients. Reports to date present discrepant evidence regarding the link between depression and HF outcomes, and only scarce data related to healthcare utilization in the form of emergency department (ED) visits are available. Purpose: To evaluate the relationship of depression with healthcare utilization and death among HF patients in the community. Methods: Residents of Olmsted, Dodge, and Fillmore, MN counties with HF were prospectively recruited between October 2007 and December 2010, and completed a 9-item Patient Health Questionnaire (PHQ-9) for depression categorized as: none-minimal (PHQ-9 score 0-4), mild (5-9), or moderate-severe (≥10). Anderson-Gill models were used to determine if depression predicted hospitalizations and ED visits while proportional hazards regression estimated hazard ratios for death. Results: Among 411 HF patients (mean age 73±13, 58% male), 15% had moderate-severe depression, 27% mild, and 58% none-minimal. Over a mean follow-up of 1.5 years, 613 hospitalizations, 786 ED visits, and 75 deaths occurred. The risk of all adverse outcomes increased stepwise with increasing severity of depression (Table). After adjustment for key clinical characteristics, moderate-severe depression was associated with nearly a 2-fold increased risk of hospitalization and ED visits, and almost a 4-fold increased risk of death. These results are independent of coexisting comorbidities. Conclusions: Depression is frequent among HF patients in the community and independently predicts a significant increase in the use of healthcare resources and mortality. Greater attention to the recognition and management of depression in HF may improve clinical outcomes and decrease healthcare utilization and expenditures in these patients. Hazard Ratios (95%CI) for Hospitalizations and All-Cause Mortality by Severity of Depression None-Minimal Mild Moderate-Severe P for trend Hospitalizations Crude 1.00 (ref) 1.23 (0.91-1.66) 2.01 (1.39-2.89) <0.001 Fully-Adjusted * 1.00 (ref) 1.15 (0.86-1.54) 1.93 (1.37-2.71) 0.001 Emergency Department Visits Crude 1.00 (ref) 1.42 (1.03-1.96) 1.99 (1.42-2.79) <0.001 Fully-Adjusted * 1.00 (ref) 1.39 (1.00-1.93) 1.98 (1.40-2.79) <0.001 All-Cause Mortality Crude 1.00 (ref) 1.53 (0.87-2.68) 3.33 (1.95-5.70) <0.001 Fully-Adjusted * 1.00 (ref) 1.55 (0.88-2.74) 3.84 (2.21-6.68) <0.001 * Adjusted for age, sex, and Charlson comorbidity index

Emergency department triage of acute heart failure triggered by pneumonia; when an intensive care unit is needed?

2016 ◽  
Vol 220 ◽  
pp. 479-482 ◽  
Author(s):  
Eftychios E. Siniorakis ◽  
Sophia M. Arapi ◽  
Stamatia G. Panta ◽  
Vlassios N. Pyrgakis ◽  
Ioannis Th. Ntanos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Acute Heart Failure ◽  
Emergency Department Triage

scholarly journals Predicting Prolonged Intensive Care Unit Stay Among Patients With Sepsis-Induced Hypotension

2019 ◽  
Vol 28 (6) ◽  
pp. e1-e7
Author(s):  
David L. Murphy ◽  
Nicholas J. Johnson ◽  
M. Kennedy Hall ◽  
Mitchell L. Kim ◽  
Nathan I. Shapiro ◽  
...  
Keyword(s):  
Heart Failure ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Creatinine Level ◽  
Odds Ratio ◽  
Area Under Curve ◽  
Bicarbonate Level ◽  
Icu Stay ◽  
Emergency Department Patients

Background Sepsis risk stratification tools typically predict mortality, although stays in the intensive care unit (ICU) of 24 hours or longer may be more clinically relevant for emergency department disposition. Objective To explore predictors of ICU stay of 24 hours or longer among infected, hypotensive emergency department patients. Methods A secondary analysis of 2 prospective, observational studies of adult patients with severe sepsis or an infection with a systolic blood pressure less than 90 mm Hg in 3 urban, academic emergency departments was performed. Patients with hypotension and infection were included. Patients with emergency department intubation, vasopressor administration, and/or death were excluded. The primary outcome was ICU stay of 24 hours or longer or death in less than 24 hours. Multivariable logistic regression was used to predict ICU stay of 24 hours or longer. Results Of 233 patients, 108 (46.4%) had ICU stays of 24 hours or longer. History of heart failure (odds ratio, 3.6; 95% CI, 1.5-8.3), bicarbonate level less than 20 mEq/L (odds ratio, 2.0; 95% CI, 1.1-3.8), respiratory rate greater than 20/min (odds ratio, 2.0; 95% CI, 1.1-3.7), and creatinine level greater than 2.0 mg/dL (odds ratio, 3.6; 95% CI, 1.9-6.7) were independent predictors of ICU stay of 24 hours or longer (area under curve, 0.74). The presence of 1 of these factors predicted ICU stay of 24 hours or longer (area under curve, 0.74) with 82.4% sensitivity and 49.6% specificity. Conclusions These exploratory results show that heart failure, bicarbonate level of less than 20 mEq/L, tachypnea, or creatinine level greater than 2.0 mg/dL increases the likelihood of an ICU stay of 24 hours or longer among infected, hypotensive emergency department patients.

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 Assessment of atrial fibrillation in emergency department

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Manzo-Silberman ◽  
T Chouihed ◽  
L Fraticelli ◽  
A Peiretti ◽  
C Claustre ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Vitamin K ◽  
De Novo ◽  
Bleeding Event ◽  
Vitamin K Antagonist ◽  
Funding Source ◽  
Private Company

Abstract Introduction Atrial Fibrillation (AF) is the most common arrythmia, especially in older adults. AF represents 1% of emergency department (ED) visits a third of which are de novo or recurrent. While the diagnosis is given quickly by reading the electrocardiogram (ECG), its management both remains complex. European guidelines have been published in 2016. Purpose Our study aimed to investigate guidelines implementation in French ED. Methods Prospective national multicenter study (clinical trials NCT 03836339) and core interpretation of ECG. Consecutive patients admitted in 32 French ED for AF confirmed by ECG were prospectively included. Clinical characteristics at admission were recorded by the physician. The 3-months telephone follow-up was ensured by one operator. Results From 1/10/2018 to 30/11/2018, 1369 patients with AF were included, of whom 295 (21.55%) had a de novo AF. Patients were 80 [65; 87] years old, 51.17% of men, 71.53% self-ruling, 91.53% living at home, 65.42% transported by firemen or by ambulances and 4,07% by a mobile intensive care unit. Twenty-six (8.84%) patients had a history of stroke or transient ischemic stroke and none of them on anticoagulants. CHA2DS2-VASC score was performed in 66.78% of patients and was 0 in 14 (7.11%) patients. HAS-BLED score = 2 [1; 3]. At admission 50.17% of patients received anticoagulants, of whom 49.32% a non-vitamin K antagonist oral anticoagulant, 0.68% Vitamin K antagonists, 50.68% UFH or LMWH. Beta-blockers were administered in 102 (24.01%) patients and amiodarone in 38 (12.89%). Cardiac echography has been performed in 20.34% of patients. Atrial fibrillation was the primary diagnosis in 42.71% of patients. It has been associated to a pneumopathy in 25.17% of patients, a pulmonary embolism in 4.76% and acute alcoholism in 1.36% of them. Precipitating factor was often undetermined. The discharge to the home concerned 18.64% of patients, 26.78% of patients were hospitalized in ED hospitalization unit, 23.05% in cardiology or intensive care unit. At 3 months, 49% of patients were on anticoagulants, of whom 90% on non-vitamin K antagonist oral anticoagulants, 95% of them didn't report any bleeding event and 41.77% of them were able to have a cardiology consultation within three months. Three-months mortality was about 22.09%, and rehospitalization rate about 22.89%. Conclusion It seems to be a reticence to initiate anticoagulation of patients admitted to ED with a de novo AF. It could be explained by both the advanced age of the patients and the lack of an organized access to a systematic cardiology consultation at discharge. Patients with chronic AF are subject to high mortality at 3 months and a significant risk of readmission. The application of the guidelines could be optimized by a better training program and the implementation of a dedicated pathway of care. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Bayer

scholarly journals Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eyal Klang ◽  
Benjamin R. Kummer ◽  
Neha S. Dangayach ◽  
Amy Zhong ◽  
M. Arash Kia ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Learning Model ◽  
Free Text ◽  
Combined Model ◽  
Text Data ◽  
Machine Learning Model ◽  
Record Data

AbstractEarly admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine learning model using both tabular and free text data to identify patients requiring NSICU admission shortly after arrival to the emergency department (ED). We conducted a single-center, retrospective cohort study of adult patients at the Mount Sinai Hospital, an academic medical center in New York City. All patients presenting to our institutional ED between January 2014 and December 2018 were included. Structured (tabular) demographic, clinical, bed movement record data, and free text data from triage notes were extracted from our institutional data warehouse. A machine learning model was trained to predict likelihood of NSICU admission at 30 min from arrival to the ED. We identified 412,858 patients presenting to the ED over the study period, of whom 1900 (0.5%) were admitted to the NSICU. The daily median number of ED presentations was 231 (IQR 200–256) and the median time from ED presentation to the decision for NSICU admission was 169 min (IQR 80–324). A model trained only with text data had an area under the receiver-operating curve (AUC) of 0.90 (95% confidence interval (CI) 0.87–0.91). A structured data-only model had an AUC of 0.92 (95% CI 0.91–0.94). A combined model trained on structured and text data had an AUC of 0.93 (95% CI 0.92–0.95). At a false positive rate of 1:100 (99% specificity), the combined model was 58% sensitive for identifying NSICU admission. A machine learning model using structured and free text data can predict NSICU admission soon after ED arrival. This may potentially improve ED and NSICU resource allocation. Further studies should validate our findings.

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