Predictors of Pressure Ulcers in Adult Critical Care Patients

2011 ◽  
Vol 20 (5) ◽  
pp. 364-375 ◽  
Author(s):  
Jill Cox
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Length Of Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Pressure Ulcers ◽  
Critical Care Patients

BackgroundPressure ulcers are one of the most underrated conditions in critically ill patients. Despite the introduction of clinical practice guidelines and advances in medical technology, the prevalence of pressure ulcers in hospitalized patients continues to escalate. Currently, consensus is lacking on the most important risk factors for pressure ulcers in critically ill patients, and no risk assessment scale exclusively for pressure ulcers in these patients is available.ObjectiveTo determine which risk factors are most predictive of pressure ulcers in adult critical care patients. Risk factors investigated included total score on the Braden Scale, mobility, activity, sensory perception, moisture, friction/shear, nutrition, age, blood pressure, length of stay in the intensive care unit, score on the Acute Physiology and Chronic Health Evaluation II, vasopressor administration, and comorbid conditions.MethodsA retrospective, correlational design was used to examine 347 patients admitted to a medical-surgical intensive care unit from October 2008 through May 2009.ResultsAccording to direct logistic regression analyses, age, length of stay, mobility, friction/shear, norepinephrine infusion, and cardiovascular disease explained a major part of the variance in pressure ulcers.ConclusionCurrent risk assessment scales for development of pressure ulcers may not include risk factors common in critically ill adults. Development of a risk assessment model for pressure ulcers in these patients is warranted and could be the foundation for development of a risk assessment tool.

Validity of the current risk assessment scale for pressure ulcers in intensive care (EVARUCI) and the Norton-MI scale in critically ill patients

2017 ◽  
Vol 38 ◽  
pp. 76-82
Author(s):  
Sara Lospitao-Gómez ◽  
Tomás Sebastián-Viana ◽  
José M. González-Ruíz ◽  
Joaquín Álvarez-Rodríguez
Keyword(s):  
Risk Assessment ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Pressure Ulcers ◽  
Assessment Scale ◽  
Current Risk

scholarly journals Risk Factors For Kidney Damage In COVID-19 Patients Admitted To The Intensive Care Unit

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Diana K. Sarkisian ◽  
Natalia V. Chebotareva ◽  
Valerie McDonnell ◽  
Armen V. Oganesyan ◽  
Tatyana N. Krasnova ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Kidney Damage ◽  
Elderly Age ◽  
Total Blood ◽  
Independent Risk Factors

Background — Acute kidney injury (AKI) reaches 29% in the intensive care unit (ICU). Our study aimed to determine the prevalence, features, and the main AKI factors in critically ill patients with coronavirus disease 2019 (COVID-19). Material and Methods — The study included 37 patients with COVID-19. We analyzed the total blood count test results, biochemical profile panel, coagulation tests, and urine samples. We finally estimated the markers of kidney damage and mortality. Result — All patients in ICU had proteinuria, and 80.5% of patients had hematuria. AKI was observed in 45.9% of patients. Independent risk factors were age more than 60 years, increased C-reactive protein (CRP) level, and decreased platelet count. Conclusion — Kidney damage was observed in most critically ill patients with COVID-19. The independent risk factors for AKI in critically ill patients were elderly age, a cytokine response with a high CRP level.

Postoperative Delirium: A Literature Review of Management in Intensive Care Unit

2021 ◽  
Vol 1 (3) ◽  
pp. 44-48
Author(s):  
Cendy Legowo
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Postoperative Delirium ◽  
Mechanistic Explanation ◽  
Clinical Results ◽  
Care Plan ◽  
Prevention And Treatment

Perioperative delirium is a wide-ranging problem that directly affects primary clinical results. The anesthesiologist must understand how to define and diagnose delirium, identify patients at high risk of delirium, identify predisposing factors to adjust the care plan appropriately, and manage delirium in the acute postoperative period. Delirium is an organ dysfunction in critically ill patients, independently associated with improved morbidity. Research on delirium in hospitalized patients (including critically ill patients) has increased exponentially in the last decade. This study emphasizes the need for a mechanistic explanation of delirium to help advance the research that ultimately leads to its prevention and treatment. In this study, multinational and multidisciplinary clinicians, and researchers from the fields of critical care medicine, psychiatry, anesthesiology, neurology, and pharmacy sought to collaborate in the management of delirium in the intensive care unit (ICU).

scholarly journals Expert consensus on prevention and control of COVID-19 in the neurological intensive care unit (first edition)

2020 ◽  
Vol 5 (3) ◽  
pp. 242-249
Author(s):  
Furong Wang ◽  
Jingyi Liu ◽  
Ping Zhang ◽  
Wen Jiang ◽  
Le Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Prevention And Control ◽  
Neurological Diseases ◽  
Neurological Intensive Care Unit ◽  
Neurological Intensive Care ◽  
And Control

During the COVID-19 epidemic, the treatment of critically ill patients has been increasingly difficult and challenging. During the epidemic, some patients with neurological diseases also have COVID-19, which could be misdiagnosed and cause silent transmission and nosocomial infection. Such risk is high in a neurological intensive care unit (NCU). Therefore, prevention and control of epidemic in critically ill patients is of utmost importance. The principle of NCU care should include comprehensive screening and risk assessment, weighing risk against benefits and reducing the risk of COVID-19 transmission while treating patients as promptly as possible.

Identifying Risk Factors for Pressure Injury in Adult Critical Care Patients

2020 ◽  
Vol 29 (3) ◽  
pp. 204-213 ◽  
Author(s):  
Jill Cox ◽  
Marilyn Schallom ◽  
Christy Jung
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Critical Care ◽  
Intensive Care ◽  
Decision Tree ◽  
Scale Score ◽  
Critically Ill Patients ◽  
Braden Scale ◽  
Pressure Injury ◽  
Critical Care Patients

Background Critically ill patients have a variety of unique risk factors for pressure injury. Identification of these risk factors is essential to prevent pressure injury in this population. Objective To identify factors predicting the development of pressure injury in critical care patients using a large data set from the PhysioNet MIMIC-III (Medical Information Mart for Intensive Care) clinical database. Methods Data for 1460 patients were extracted from the database. Variables that were significant in bivariate analyses were used in a final logistic regression model. A final set of significant variables from the logistic regression was used to develop a decision tree model. Results In regression analysis, cardiovascular disease, peripheral vascular disease, pneumonia or influenza, cardiovascular surgery, hemodialysis, norepinephrine administration, hypotension, septic shock, moderate to severe malnutrition, sex, age, and Braden Scale score on admission to the intensive care unit were all predictive of pressure injury. Decision tree analysis revealed that patients who received norepinephrine, were older than 65 years, had a length of stay of 10 days or less, and had a Braden Scale score of 15 or less had a 63.6% risk of pressure injury. Conclusion Determining pressure injury risk in critically ill patients is complex and challenging. One common pathophysiological factor is impaired tissue oxygenation and perfusion, which may be nonmodifiable. Improved risk quantification is needed and may be realized in the near future by leveraging the clinical information available in the electronic medical record through the power of predictive analytics.

Postoperative Delirium: A Literature Review of Management in Intensive Care Unit

2021 ◽  
Vol 1 (3) ◽  
pp. 44-48
Author(s):  
Cendy Legowo
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Postoperative Delirium ◽  
Mechanistic Explanation ◽  
Clinical Results ◽  
Care Plan ◽  
Prevention And Treatment

Perioperative delirium is a wide-ranging problem that directly affects primary clinical results. The anesthesiologist must understand how to define and diagnose delirium, identify patients at high risk of delirium, identify predisposing factors to adjust the care plan appropriately, and manage delirium in the acute postoperative period. Delirium is an organ dysfunction in critically ill patients, independently associated with improved morbidity. Research on delirium in hospitalized patients (including critically ill patients) has increased exponentially in the last decade. This study emphasizes the need for a mechanistic explanation of delirium to help advance the research that ultimately leads to its prevention and treatment. In this study, multinational and multidisciplinary clinicians, and researchers from the fields of critical care medicine, psychiatry, anesthesiology, neurology, and pharmacy sought to collaborate in the management of delirium in the intensive care unit (ICU).

scholarly journals Intensive care unit admission protocol controlled by intensivists can reduce transfer delays from the emergency department in critically ill patients

2018 ◽  
Vol 26 (2) ◽  
pp. 84-90 ◽  
Author(s):  
Ji Eun Kim ◽  
Seul Lee ◽  
Jinwoo Jeong ◽  
Dong Hyun Lee ◽  
Jin-Heon Jeong
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Length Of Stay ◽  
Intensive Care Unit Admission ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Unit Length ◽  
Intensive Care Unit Length ◽  
Before And After

Background: Delayed transfer of patients from the emergency department to the intensive care unit is associated with adverse clinical outcomes. Critically ill patients with delayed admission to the intensive care unit had higher in-hospital mortality and increased hospital length of stay. Objectives: We investigated the effects of an intensive care unit admission protocol controlled by intensivists on the emergency department length of stay among critically ill patients. Methods: We designed the intensive care unit admission protocol to reduce the emergency department length of stay in critically ill patients. Full-time intensivists determined intensive care unit admission priorities based on the severity of illness. Data were gathered from patients who were admitted from the emergency department to the intensive care unit between 1 April 2016 and 30 November 2016. We retrospectively analyzed the clinical data and compared the emergency department length of stay between patients admitted from the emergency department to the intensive care unit before and after intervention. Results: We included 292 patients, 120 and 172 were admitted before and after application of the intensive care unit admission protocol, respectively. The demographic characteristics did not differ significantly between the groups. After intervention, the overall emergency department length of stay decreased significantly from 1045.5 (425.3–1665.3) min to 392.0 (279.3–686.8) min (p < 0.001). Intensive care unit length of stay also significantly decreased from 6.0 (4.0–11.8) days to 5.0 (3.0–10.0) days (p = 0.015). Conclusion: Our findings suggest that introduction of the intensive care unit admission protocol controlled by intensivists successfully decreased the emergency department length of stay and intensive care unit length of stay among critically ill patients at our institution.

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