Browsing by Subject "critical care"
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Item Open Access Cardiac arrest in the paediatric intensive care unit: defining the problem and developing solutions.(BMJ open quality, 2020-12) Ray, Candice M; Pizzuto, Matthew; Reyes-Alvarado, Edith; Jackson, Kimberly; Turner, David A; Kamath, SameerThousands of children experience a cardiac arrest event in the hospital each year, with more than half of these patients not surviving to hospital discharge. Cardiopulmonary resuscitation (CPR) depth, rate, velocity and percentage of high-quality chest compressions are modifiable factors associated with improved survival. Therefore, we created a novel and standardised process to track and analyse cardiac arrests in the Duke paediatric intensive care unit (PICU). Our aim was to identify areas for improved American Heart Association (AHA) compliance and implement education and communication-based initiatives to enhance early recognition of at-risk patients leading to improved outcomes. From January 2017 to December 2018, all cardiac arrests in our PICU were tracked, reviewed and presented at monthly morbidity and mortality conference. We used the data to track compliance with AHA guidelines and identify opportunities for improvement. Through these efforts, we established a multidisciplinary cardiac arrest education and review programme. Over the 2-year period, we tracked 45 cardiac arrests, which comprised 2% of all PICU admissions. In 2017, during the first year of development, 16 of 22 arrests (73%) were not reported to code committee members in time for complete review. Of the six cardiac arrests with complete reviews, only 17% followed AHA guidelines. In 2018, all 23 arrest events were communicated and 76% of resuscitations were found to be compliant with AHA guidelines. Survival of patients to discharge was 47% in 2017 and increased to 63% in 2018 with similar percentage of PICU admissions having a cardiac arrest between the 2 years. The primary aim of this project was to establish a multidisciplinary comprehensive cardiac arrest review process. This programme allowed for comprehensive analysis of individual events, promoted quality improvement initiatives and improved consistent delivery of high-quality CPR.Item Open Access Cervical sympathectomy to treat cerebral vasospasm: a scoping review.(Regional anesthesia and pain medicine, 2022-11) Bombardieri, Anna Maria; Heifets, Boris D; Treggiari, Miriam; Albers, Gregory W; Steinberg, Gary K; Heit, Jeremy JBackground/importance
Delayed cerebral ischemia (DCI) is the second-leading cause of death and disability in patients with aneurysmal subarachnoid hemorrhage (aSAH), and is associated with cerebral arterial vasospasm (CAV). Current treatments for CAV are expensive, invasive, and have limited efficacy. Cervical sympathetic block (CSB) is an underappreciated, but potentially highly effective therapy for CAV.Objective
To provide a comprehensive review of the preclinical and human literature pertinent to CSB in the context of CAV.Evidence review
This study followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. We conducted a literature search using Embase, PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Scopus and Web of Science until February 2022, to identify abstracts, conference proceedings, and full-text papers pertinent to cervical sympathectomy and CAV in animal/adult patients.Findings
We included six human and six experimental studies. Human studies were mostly prospective observational, except one retrospective and one randomized clinical trial, and used various imaging modalities to measure changes in arterial diameter after the block. Studies that used digital subtraction angiography showed an improvement in cerebral perfusion without change in vessel diameter. Transcranial Doppler studies found an approximately 15% statistically significant decrease in velocities consistent with arterial vasodilatation. Overall, the results suggest an increase in cerebral arterial diameter and neurological improvement in patients receiving a CSB. Animal studies demonstrate that sympathetic system ablation vasodilates cerebral vasculature and decreases the incidence of symptomatic vasospasm.Conclusions
This scoping review suggests that CSB may be a viable option for treatment and prevention of CAV/DCI in patients with aSAH, although the included studies were heterogeneous, mostly observational, and with a small sample size. Further research is needed to standardize the technique and prove its effectiveness to treat patients suffering of CAV/DCI after aSAH.Item Open Access Epidemiology and Outcomes of Acute Respiratory Distress Syndrome Following Isolated Severe Traumatic Brain Injury.(Journal of intensive care medicine, 2020-11-15) Komisarow, Jordan M; Chen, Fangyu; Vavilala, Monica S; Laskowitz, Daniel; James, Michael L; Krishnamoorthy, VijayPatients with traumatic brain injury (TBI) are at risk for extra-cranial complications, such as the acute respiratory distress syndrome (ARDS). We conducted an analysis of risk factors, mortality, and healthcare utilization associated with ARDS following isolated severe TBI. The National Trauma Data Bank (NTDB) dataset files from 2007-2014 were used to identify adult patients who suffered isolated [other body region-specific Abbreviated Injury Scale (AIS) < 3] severe TBI [admission total Glasgow Coma Scale (GCS) from 3 to 8 and head region-specific AIS >3]. In-hospital mortality was compared between patients who developed ARDS and those who did not. Utilization of healthcare resources (ICU length of stay, hospital length of stay, duration of mechanical ventilation, and frequency of tracheostomy and gastrostomy tube placement) was also examined. This retrospective cohort study included 38,213 patients with an overall ARDS occurrence of 7.5%. Younger age, admission tachycardia, pre-existing vascular and respiratory diseases, and pneumonia were associated with the development of ARDS. Compared to patients without ARDS, patients that developed ARDS experienced increased in-hospital mortality (OR 1.13, 95% CI 1.01-1.26), length of stay (p = <0.001), duration of mechanical ventilation (p = < 0.001), and placement of tracheostomy (OR 2.70, 95% CI 2.34-3.13) and gastrostomy (OR 2.42, 95% CI 2.06-2.84). After isolated severe TBI, ARDS is associated with increased mortality and healthcare utilization. Future studies should focus on both prevention and management strategies specific to TBI-associated ARDS.Item Open Access Family Perspectives of Nursing Strategies to Facilitate Transition from Curative to Palliative Care in the Intensive Care Unit(2013) Adams, Judith AnnProblem: Family members of patients dying in the ICU are faced with agonizing dilemmas, the consequences of which might haunt them for a lifetime. Providing these family members with meaningful support and information is imperative. Nurses, by virtue of the time spent at the bedside and knowledge of patient and family needs, are in a unique position to support family members. The literature provides ample studies of how nurses perceive they are involved in EOL decision-making and several studies describing what family members perceive that they need from health care professionals in general. What is lacking is literature that describes the family members' perceptions of the specific strategies that nurses use to support their decision-making and how family members respond to these strategies. Because nurses might act on instinct, the strategies they use might or might not be helpful to family members. This study builds on prior work by exploring in greater depth the involvement of nurses in EOL decision-making, the specific strategies that family members perceive nurses using, and how family members respond to these strategies. This study aims to explore how family members respond to nursing strategies to support EOL decision-making, including family members perceptions of the strategies nurses use, how these strategies change over the trajectory of decision-making, and how these strategies affect their ability to make decisions consistent with the goals of the patient and their ability to cope with the stress of making EOL decisions.
Methods: Chapter two describes a systematic review of the literature that was conducted to define areas where research is needed. Chapter three describes a pilot case study that was conducted to determine the feasibility of conducting a prospective longitudinal study of family members making EOL decisions for their loved one in an ICU. Chapter four describes a prospective, longitudinal, qualitative descriptive study. In this study, the PI identified ICU patients who were likely to need complex decision-making and used narrative style interviewing techniques to explore the family members' perceptions of the strategies nurses use and the effectiveness of these strategies. Participants were recruited from a 16 bed adult medical ICU and a 16 bed surgical ICU at Duke Hospital, a tertiary care university hospital system.
Results: These studies identified three roles enacted by nurses: information broker, supporter, and advocate. While enacting these roles, nurses used a myriad of strategies categorized into five approaches: Demonstrate concern, build rapport, demonstrate professionalism, provide information, and support decision-making. This study provides empirical evidence that when interacting with family members of patients who were transitioning from curative to palliative care in the ICU, nurses used strategies that helped family members cope, to have realistic hope, to have confidence and trust, to prepare for the impending loss, to accept that their loved one was dying, and to make decisions. These findings also suggest that nurses were able to demonstrate flexibility in the use of the strategies, responding to the needs of the family members.
Although nurses used many helpful strategies to support family members, some nurses used strategies that negatively affected the family members' trust and confidence in the nurses, increased their difficulty coping, and, in some cases, might have delayed decision-making. Few of these strategies have been previously described in the nursing literature.
Summary: Knowledge from this study will pave the way for developing expert nursing practices for intervention studies targeting the areas identified as important by family members, most likely to improve their ability to make decisions on behalf of their loved one and to improve their well-being, and feasible in ICU environment.
Item Open Access Living on Borrowed Breath: Respiratory Distress, Social Breathing, and the Vital Movement of Ventilators(Medical Anthropology Quarterly: international journal for the cultural and social analysis of health) Solomon, HarrisItem Open Access Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units.(Journal of personalized medicine, 2021-11) Pattharanitima, Pattharawin; Thongprayoon, Charat; Petnak, Tananchai; Srivali, Narat; Gembillo, Guido; Kaewput, Wisit; Chesdachai, Supavit; Vallabhajosyula, Saraschandra; O'Corragain, Oisin A; Mao, Michael A; Garovic, Vesna D; Qureshi, Fawad; Dillon, John J; Cheungpasitporn, WisitLactic acidosis is a heterogeneous condition with multiple underlying causes and associated outcomes. The use of multi-dimensional patient data to subtype lactic acidosis can personalize patient care. Machine learning consensus clustering may identify lactic acidosis subgroups with unique clinical profiles and outcomes. We used the Medical Information Mart for Intensive Care III database to abstract electronic medical record data from patients admitted to intensive care units (ICU) in a tertiary care hospital in the United States. We included patients who developed lactic acidosis (defined as serum lactate ≥ 4 mmol/L) within 48 h of ICU admission. We performed consensus clustering analysis based on patient characteristics, comorbidities, vital signs, organ supports, and laboratory data to identify clinically distinct lactic acidosis subgroups. We calculated standardized mean differences to show key subgroup features. We compared outcomes among subgroups. We identified 1919 patients with lactic acidosis. The algorithm revealed three best unique lactic acidosis subgroups based on patient variables. Cluster 1 (n = 554) was characterized by old age, elective admission to cardiac surgery ICU, vasopressor use, mechanical ventilation use, and higher pH and serum bicarbonate. Cluster 2 (n = 815) was characterized by young age, admission to trauma/surgical ICU with higher blood pressure, lower comorbidity burden, lower severity index, and less vasopressor use. Cluster 3 (n = 550) was characterized by admission to medical ICU, history of liver disease and coagulopathy, acute kidney injury, lower blood pressure, higher comorbidity burden, higher severity index, higher serum lactate, and lower pH and serum bicarbonate. Cluster 3 had the worst outcomes, while cluster 1 had the most favorable outcomes in terms of persistent lactic acidosis and mortality. Consensus clustering analysis synthesized the pattern of clinical and laboratory data to reveal clinically distinct lactic acidosis subgroups with different outcomes.Item Open Access Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis.(Journal of clinical medicine, 2021-10) Pattharanitima, Pattharawin; Thongprayoon, Charat; Kaewput, Wisit; Qureshi, Fawad; Qureshi, Fahad; Petnak, Tananchai; Srivali, Narat; Gembillo, Guido; O'Corragain, Oisin A; Chesdachai, Supavit; Vallabhajosyula, Saraschandra; Guru, Pramod K; Mao, Michael A; Garovic, Vesna D; Dillon, John J; Cheungpasitporn, WisitLactic acidosis is the most common cause of anion gap metabolic acidosis in the intensive care unit (ICU), associated with poor outcomes including mortality. We sought to compare machine learning (ML) approaches versus logistic regression analysis for prediction of mortality in lactic acidosis patients admitted to the ICU. We used the Medical Information Mart for Intensive Care (MIMIC-III) database to identify ICU adult patients with lactic acidosis (serum lactate ≥4 mmol/L). The outcome of interest was hospital mortality. We developed prediction models using four ML approaches consisting of random forest (RF), decision tree (DT), extreme gradient boosting (XGBoost), artificial neural network (ANN), and statistical modeling with forward stepwise logistic regression using the testing dataset. We then assessed model performance using area under the receiver operating characteristic curve (AUROC), accuracy, precision, error rate, Matthews correlation coefficient (MCC), F1 score, and assessed model calibration using the Brier score, in the independent testing dataset. Of 1919 lactic acidosis ICU patients, 1535 and 384 were included in the training and testing dataset, respectively. Hospital mortality was 30%. RF had the highest AUROC at 0.83, followed by logistic regression 0.81, XGBoost 0.81, ANN 0.79, and DT 0.71. In addition, RF also had the highest accuracy (0.79), MCC (0.45), F1 score (0.56), and lowest error rate (21.4%). The RF model was the most well-calibrated. The Brier score for RF, DT, XGBoost, ANN, and multivariable logistic regression was 0.15, 0.19, 0.18, 0.19, and 0.16, respectively. The RF model outperformed multivariable logistic regression model, SOFA score (AUROC 0.74), SAP II score (AUROC 0.77), and Charlson score (AUROC 0.69). The ML prediction model using RF algorithm provided the highest predictive performance for hospital mortality among ICU patient with lactic acidosis.Item Open Access Sepsis in sub-Saharan Africa: a prospective observational study of clinical characteristics, management, and outcomes for adolescents and adults with sepsis in northern Tanzania(2020) Bonnewell, JohnBackground: Sepsis is a leading cause of death and disability globally. Despite a high burden of sepsis in sub-Saharan Africa, clinical data for sepsis in that setting are limited. We sought to describe the clinical characteristics, management, and outcomes in a cohort of adults and adolescents with sepsis in northern Tanzania. We also assessed for associations between clinical factors and in-hospital mortality.
Methods: We carried out a prospective observational cohort study at Kilimanjaro Christian Medical Centre in Moshi, Tanzania. We collected data on demographics, baseline clinical characteristics, and management, with an emphasis on hours 0-6 after arrival to the Emergency Department. Log risk regression was carried out to assess for associations between demographic and clinical factors and our primary outcome of in-hospital death. Separate multivariable regression analyses were conducted for both antimicrobial administration by hour 6 and administration of intravenous (IV) fluids >1L by hour 6 and the outcome of in-hospital mortality.
Results: Fifty-eight participants were included in our analysis. Seventeen (29.3%) participants died in-hospital. Baseline characteristics associated with inpatient mortality included inability to drink unassisted, respiratory rate >30 breaths per minute, hypoxia, and altered mentation. Less than half of participants received any antimicrobial by hour 6, and most participants received <1L of IV fluids. HIV antibody testing was performed for only one participant in the first 6 hours. On multivariable analysis, neither antimicrobial administration nor IV fluids >1L by hour 6 was associated with inpatient mortality.
Conclusion: Sepsis in northern Tanzania carries a high risk of in-hospital mortality. Further research is urgently needed to establish the highest-yield interventions suited to the unique characteristics of sepsis in sSA.