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1.
Crit Care Nurse ; 44(3): 54-64, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38821527

ABSTRACT

BACKGROUND: Iatrogenic malnutrition is a significant burden to patients, clinicians, and health care systems. Compared with well-nourished patients, underfed patients (those who receive less than 80% of their daily energy requirement) have more adverse outcomes related to nutritional status. Volume-based protocols allow for catch-up titrations, are consistently superior to rate-based protocols, and can be implemented in most settings. LOCAL PROBLEM: This project was conducted in an 8-bed neuroscience intensive care unit in which up to 41% of patients who required enteral feeding were underfed. METHODS: This quality improvement clinical practice change project used a before-and-after design to evaluate (1) the effect of implementing a volume-based feeding protocol on the delivery of enteral feeds and (2) the effect of a nutrition-based project on staff members' attitudes regarding nutrition in critical care. The effectiveness of a volume-based feeding titration protocol was compared with that of a rate-based feeding protocol for achieving delivery of at least 80% of prescribed nutrition per 24-hour period. Staff members' attitudes were assessed using a survey before and after the project. RESULTS: During 241 enteral feeding days (n = 40 patients), the percentage of delivered enteral feeding volume and the percentage of days patients received at least 80% of the prescribed volume increased after volume-based feeding was implemented. After project implementation, 74 staff members reported increased emphasis on nutrition delivery in their practice and a higher level of agreement that nutrition is a priority when caring for critically ill patients. CONCLUSIONS: Using a volume-based feeding protocol with supplemental staff education resulted in improved delivery of prescribed enteral feeding.


Subject(s)
Enteral Nutrition , Intensive Care Units , Humans , Enteral Nutrition/standards , Enteral Nutrition/methods , Enteral Nutrition/nursing , Male , Female , Middle Aged , Adult , Aged , Quality Improvement , Critical Care Nursing/standards , Critical Care/methods , Critical Care/standards , Neuroscience Nursing , Clinical Protocols , Malnutrition/prevention & control , Critical Illness/nursing , Critical Illness/therapy
2.
Am J Crit Care ; 31(5): 425-430, 2022 09 01.
Article in English | MEDLINE | ID: mdl-36045036

ABSTRACT

The American Journal of Critical Care's Junior Peer Reviewer program aims to mentor novice reviewers in the peer review process. To grow their critical appraisal skills, the participants take part in discussion sessions in which they review articles published in other journals. Here we summarize the articles reviewed during the second year of the program, which again focused on the care of critically ill patients with COVID-19. This article aims to share these reviews and the reviewers' thoughts regarding the relevance, design, and applicability of the findings from the selected studies. High rates of delirium associated with COVID-19 may be impacted by optimizing sedation strategies and allowing safe family visitation. Current methodology in crisis standards of care may result in inequity and further research is needed. The use of extracorporeal carbon dioxide removal to facilitate super low tidal volume ventilation does not improve 90-day mortality outcomes. Continued research to better understand the natural history of COVID-19 and interventions useful for improving outcomes is imperative.


Subject(s)
COVID-19 , Reading , COVID-19/therapy , Critical Care , Critical Illness/therapy , Humans , Peer Review, Research
3.
Am J Crit Care ; 31(4): e26-e30, 2022 07 01.
Article in English | MEDLINE | ID: mdl-35773194

ABSTRACT

The Junior Peer Reviewer program of the American Journal of Critical Care provides mentorship in the peer review process to novice reviewers. The program includes discussion sessions in which participants review articles published in other journals to practice and improve their critical appraisal skills. The articles reviewed during the first year of the program focused on caring for patients with COVID-19. The global pandemic has placed a heavy burden on nursing practice. Prone positioning of patients with acute respiratory failure is likely to improve their outcomes. Hospitals caring for patients needing prolonged ventilation should use evidence-based, standardized care practices to reduce mortality. The burden on uncompensated caregivers of COVID-19 survivors is also high, and such caregivers are likely to require assistance with their efforts. Reviewing these articles was helpful for building the peer review skills of program participants and identifying actionable research to improve the lives of critically ill patients.


Subject(s)
COVID-19 , Respiratory Distress Syndrome , Critical Care , Humans , Pandemics , Reading , United States
4.
Crit Care Nurse ; 41(5): 15-22, 2021 Oct 01.
Article in English | MEDLINE | ID: mdl-34595496

ABSTRACT

BACKGROUND: Brugada syndrome is a genetic disorder of cardiac conduction that predisposes patients to spontaneous ventricular arrhythmia and sudden cardiac death. Although Brugada syndrome is one of the most common causes of sudden cardiac death, patients presenting with the syndrome often go misdiagnosed. This error has potentially fatal consequences for patients, who are at risk for sudden cardiac death without appropriate management. OBJECTIVE: To increase the critical care professional's knowledge of Brugada syndrome through detailed description of the characteristic electrocardiographic findings, an algorithmic approach to electrocardiogram evaluation, and a case report of a patient with a previously missed diagnosis of Brugada syndrome. The essential concepts of epidemiology, pathophysiology, clinical presentation, risk stratification, and management are reviewed for critical care professionals who may encounter patients with the syndrome. DIAGNOSIS: Patients typically present with syncope or cardiac arrest and an abnormal electrocardiographic finding of ST-segment elevation in the precordial leads. The diagnosis of Brugada syndrome centers on identification of its electrocardiographic characteristics by critical care professionals who routinely evaluate electrocardiograms. Critical care professionals, especially nurses and advanced practice nurses, should be proficient in recognizing the electrocardiographic appearance of Brugada syndrome and initiating appropriate management. INTERVENTIONS: Management strategies include prevention of sudden cardiac death through lifestyle modification and placement of an implantable cardioverter-defibrillator. Critical care professionals should be aware of commonly used medications that may exacerbate ventricular arrhythmia and place patients at risk for sudden cardiac death. CONCLUSION: Increased awareness of Brugada syndrome among critical care professionals can decrease patient morbidity and mortality.


Subject(s)
Brugada Syndrome , Defibrillators, Implantable , Arrhythmias, Cardiac , Brugada Syndrome/diagnosis , Brugada Syndrome/therapy , Death, Sudden, Cardiac , Electrocardiography , Humans
5.
Health Care Manag Sci ; 19(3): 291-9, 2016 Sep.
Article in English | MEDLINE | ID: mdl-25876516

ABSTRACT

We compare statistical approaches for predicting the likelihood that individual patients will require readmission to hospital within 30 days of their discharge and for setting quality-control standards in that regard. Logistic regression, neural networks and decision trees are found to have comparable discriminating power when applied to cases that were not used to calibrate the respective models. Significant factors for predicting likelihood of readmission are the patient's medical condition upon admission and discharge, length (days) of the hospital visit, care rendered during the hospital stay, size and role of the medical facility, the type of medical insurance, and the environment into which the patient is discharged. Separately constructed models for major medical specialties (Surgery/Gynecology, Cardiorespiratory, Cardiovascular, Neurology, and Medicine) can improve the ability to identify high-risk patients for possible intervention, while consolidated models (with indicator variables for the specialties) can serve well for assessing overall quality of care.


Subject(s)
Patient Readmission/statistics & numerical data , Age Factors , Aged , Decision Trees , Environment , Hospital Bed Capacity/statistics & numerical data , Humans , Insurance, Health/statistics & numerical data , Length of Stay/statistics & numerical data , Logistic Models , Medicine/statistics & numerical data , Middle Aged , Neural Networks, Computer , Patient Discharge/statistics & numerical data , Risk Assessment , Risk Factors , Severity of Illness Index
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