ABSTRACT
OBJECTIVES: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent directly to front-line providers would reduce escalations. DESIGN: Single-center prospective pragmatic nonrandomized clustered clinical trial. SETTING: Academic tertiary care medical center. PATIENTS: Adult patients admitted to four medical-surgical units. Assignment to intervention or control arms was determined by initial unit admission. INTERVENTIONS: Real-time alerts stratified according to predicted likelihood of deterioration sent either to the primary team or directly to the rapid response team (RRT). Clinical care and interventions were at the providers' discretion. For the control units, alerts were generated but not sent, and standard RRT activation criteria were used. MEASUREMENTS AND MAIN RESULTS: The primary outcome was the rate of escalation per 1000 patient bed days. Secondary outcomes included the frequency of orders for fluids, medications, and diagnostic tests, and combined in-hospital and 30-day mortality. Propensity score modeling with stabilized inverse probability of treatment weight (IPTW) was used to account for differences between groups. Data from 2740 patients enrolled between July 2019 and March 2020 were analyzed (1488 intervention, 1252 control). Average age was 66.3 years and 1428 participants (52%) were female. The rate of escalation was 12.3 vs. 11.3 per 1000 patient bed days (difference, 1.0; 95% CI, -2.8 to 4.7) and IPTW adjusted incidence rate ratio 1.43 (95% CI, 1.16-1.78; p < 0.001). Patients in the intervention group were more likely to receive cardiovascular medication orders (16.1% vs. 11.3%; 4.7%; 95% CI, 2.1-7.4%) and IPTW adjusted relative risk (RR) (1.74; 95% CI, 1.39-2.18; p < 0.001). Combined in-hospital and 30-day-mortality was lower in the intervention group (7% vs. 9.3%; -2.4%; 95% CI, -4.5% to -0.2%) and IPTW adjusted RR (0.76; 95% CI, 0.58-0.99; p = 0.045). CONCLUSIONS: Real-time machine learning alerts do not reduce the rate of escalation but may reduce mortality.
Subject(s)
Clinical Deterioration , Machine Learning , Humans , Female , Male , Prospective Studies , Middle Aged , Aged , Hospital Rapid Response Team/organization & administration , Hospital Rapid Response Team/statistics & numerical data , Hospital MortalityABSTRACT
BACKGROUND: Current classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this heterogenous syndrome. The role of classification of AKI based on early creatinine trajectories is unclear. METHODS: This retrospective study identified patients with Sepsis-3 who developed AKI within 48-h of intensive care unit admission using Medical Information Mart for Intensive Care-IV database. We used latent class mixed modelling to identify early creatinine trajectory-based classes of AKI in critically ill patients with sepsis. Our primary outcome was development of acute kidney disease (AKD). Secondary outcomes were composite of AKD or all-cause in-hospital mortality by day 7, and AKD or all-cause in-hospital mortality by hospital discharge. We used multivariable regression to assess impact of creatinine trajectory-based classification on outcomes, and eICU database for external validation. RESULTS: Among 4197 patients with AKI in critically ill patients with sepsis, we identified eight creatinine trajectory-based classes with distinct characteristics. Compared to the class with transient AKI, the class that showed severe AKI with mild improvement but persistence had highest adjusted risks for developing AKD (OR 5.16; 95% CI 2.87-9.24) and composite 7-day outcome (HR 4.51; 95% CI 2.69-7.56). The class that demonstrated late mild AKI with persistence and worsening had highest risks for developing composite hospital discharge outcome (HR 2.04; 95% CI 1.41-2.94). These associations were similar on external validation. CONCLUSIONS: These 8 classes of AKI in critically ill patients with sepsis, stratified by early creatinine trajectories, were good predictors for key outcomes in patients with AKI in critically ill patients with sepsis independent of their AKI staging.
Subject(s)
Acute Kidney Injury , Creatinine , Critical Illness , Machine Learning , Sepsis , Humans , Acute Kidney Injury/blood , Acute Kidney Injury/diagnosis , Acute Kidney Injury/etiology , Acute Kidney Injury/classification , Male , Sepsis/blood , Sepsis/complications , Sepsis/classification , Female , Retrospective Studies , Creatinine/blood , Creatinine/analysis , Middle Aged , Aged , Machine Learning/trends , Intensive Care Units/statistics & numerical data , Intensive Care Units/organization & administration , Biomarkers/blood , Biomarkers/analysis , Hospital MortalityABSTRACT
BACKGROUND: Given the success of recent platform trials for COVID-19, Bayesian statistical methods have become an option for complex, heterogenous syndromes like sepsis. However, study design will require careful consideration of how statistical power varies using Bayesian methods across different choices for how historical data are incorporated through a prior distribution and how the analysis is ultimately conducted. Our objective with the current analysis is to assess how different uses of historical data through a prior distribution, and type of analysis influence results of a proposed trial that will be analyzed using Bayesian statistical methods. METHODS: We conducted a simulation study incorporating historical data from a published multicenter, randomized clinical trial in the US and Canada of polymyxin B hemadsorption for treatment of endotoxemic septic shock. Historical data come from a 179-patient subgroup of the previous trial of adult critically ill patients with septic shock, multiple organ failure and an endotoxin activity of 0.60-0.89. The trial intervention consisted of two polymyxin B hemoadsorption treatments (2 h each) completed within 24 h of enrollment. RESULTS: In our simulations for a new trial of 150 patients, a range of hypothetical results were observed. Across a range of baseline risks and treatment effects and four ways of including historical data, we demonstrate an increase in power with the use of clinically defensible incorporation of historical data. In one possible trial result, for example, with an observed reduction in risk of mortality from 44 to 37%, the probability of benefit is 96% with a fixed weight of 75% on prior data and 90% with a commensurate (adaptive-weighting) prior; the same data give an 80% probability of benefit if historical data are ignored. CONCLUSIONS: Using Bayesian methods and a biologically justifiable use of historical data in a prior distribution yields a study design with higher power than a conventional design that ignores relevant historical data. Bayesian methods may be a viable option for trials in critical care medicine where beneficial treatments have been elusive.
Subject(s)
Sepsis , Shock, Septic , Adult , Humans , Bayes Theorem , Polymyxin B/therapeutic use , Research Design , Sepsis/drug therapy , Shock, Septic/drug therapyABSTRACT
COVID-19 has led to procedural changes in vascular access services to protect healthcare workers and patients from further spread of the virus. Operational changes made by the vascular access service at a healthcare system in New York City during the first wave of the COVID-19 (SARS-CoV-2) pandemic included a team-based approach as well as consideration for types of lines placed to address the increase in patient volume while providing safety to healthcare workers and conserving personal protective equipment. The study consists of two samples of adult inpatients admitted to Mount Sinai Hospital in New York City in need of vascular access. Chi-square tests of independence were used to analyze trends in data. By the fourth wave, usage of shorter lifespan ultrasound-guided peripheral intravenous lines increased significantly and the use of longer lasting intravenous catheters decreased significantly between the first and fourth waves of COVID-19. This paper aims to show that with greater knowledge about proper personal protective equipment and mindful resource use, hospitals are able to become more comfortable and efficient while providing increasingly frequent vascular access services in the current and future pandemics.
Subject(s)
COVID-19 , Pandemics , Adult , Health Personnel , Humans , Personal Protective Equipment , SARS-CoV-2ABSTRACT
OBJECTIVE: Determine the characteristics of postintensive care syndrome in the cognitive, physical, and psychiatric domains in coronavirus disease 2019 ICU survivors. DESIGN: Single-center descriptive cohort study from April 21, to July 7, 2020. SETTING: Critical care recovery clinic at The Mount Sinai Hospital in New York City. PATIENTS: Adults who had critical illness due to coronavirus disease 2019 requiring an ICU stay of 7 days or more and who agreed to a telehealth follow-up in the critical care recovery clinic 1-month post hospital discharge. INTERVENTIONS: None. MEASURES AND MAIN RESULTS: Patient-reported outcome measures assessing physical and psychiatric domains were collected electronically, a cognitive test was performed by a clinician, and clinical data were obtained through electronic medical records. Outcome measures assessed postintensive care syndrome symptoms in the physical (Modified Rankin Scale, Dalhousie Clinical Frailty Scale, Neuro-Quality of Life Upper Extremity and Lower Extremity Function, Neuro-Quality of Life Fatigue), psychiatric (Insomnia Severity Scale; Patient Health Questionnaire-9; and Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition), and cognitive (Telephone Montreal Cognitive Assessment) domains. The 3-Level Version of Euro-QoL-5D was used to assess the physical and psychiatric domains. A diagnosis of postintensive care syndrome was made in cases with evidence of impairment in at least one postintensive care syndrome domain. We included 45 patients with a mean (sd) age of 54 (13) years, and 73% were male. Ninety-one percent of coronavirus disease 2019 ICU survivors fit diagnostic criteria for postintensive care syndrome. 86.7 % had impairments in the physical domain, 22 (48%) reported impairments in the psychiatric domain, and four (8%) had impairments on cognitive screening. We found that 58% had some degree of mobility impairment. In the psychiatric domain, 38% exhibited at least mild depression, and 18 % moderate to severe depression. Eighteen percent presented Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, scores suggestive of posttraumatic stress syndrome diagnosis. In the Telephone Montreal Cognitive Assessment, 9% had impaired cognition. CONCLUSIONS: Survivors of critical illness related to coronavirus disease 2019 are at high risk of developing postintensive care syndrome. These findings highlight the importance of planning for appropriate post-ICU care to diagnose and treat this population.
Subject(s)
COVID-19/complications , Critical Illness , COVID-19/psychology , COVID-19/therapy , Cognitive Dysfunction/epidemiology , Cognitive Dysfunction/etiology , Cohort Studies , Critical Care , Female , Humans , Intensive Care Units , Male , Middle Aged , New York City , Patient Reported Outcome Measures , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/etiology , Survivors/psychologyABSTRACT
BACKGROUND: Indications for inferior vena cava filter (IVCF) placement are controversial. This study assesses the proportion of different indications for IVCF placement and the associated 30-day event rates and predictors for all-cause mortality, deep vein thrombosis (DVT), pulmonary embolism, and bleeding after IVCF placement. METHOD: In this 5-year retrospective cohort observational study in a quaternary care center, consecutive patients with IVCF placement were identified through cross-matching of 3 database sets and classified into 3 indication groups defined as "standard" in patients with venous thromboembolism (VTE) and contraindication to anticoagulants, "extended" in patients with VTE but no contraindication to anticoagulants, and "prophylactic" in patients without VTE. RESULTS: We identified 1248 IVCF placements, that is, 238 (19.1%) IVCF placements for standard indications, 583 (46.7%) IVCF placements for extended indications, and 427 (34.2%) IVCF placements for prophylactic indications. Deep vein thrombosis rates [95% confidence interval] were higher in the extended (8.06% [5.98-10.58]) and prophylactic (7.73% [5.38-10.68]) groups than in the standard group (3.36% [1.46-6.52]). Mortality rates were higher in the standard group (12.18% [8.31-17.03]) than in the extended group (7.55% [5.54-9.99]) and the prophylactic (5.85% [3.82-8.52]) group. Bleeding rates were higher in the standard group (4.62% [2.33-8.12]) than in the prophylactic group (2.11% [0.97-3.96]). Best predictors for VTE were acute medical conditions; best predictors for mortality were age, acute medical conditions, cancer, and Medicare health insurance. CONCLUSIONS: Prophylactic and extended indications account for the majority of IVCF placements. The standard indication is associated with the lowest VTE rate that may be explained by the competing risk of mortality higher in this group and related to the underlying medical conditions and bleeding risk. In the prophylactic group (no VTE at baseline), the exceedingly high DVT rate may be related to the IVCF placement.
Subject(s)
Pulmonary Embolism , Vena Cava Filters , Venous Thromboembolism , Aged , Humans , Medicare , Mortality , Prognosis , Pulmonary Embolism/therapy , Retrospective Studies , Treatment Outcome , United States , Venous Thromboembolism/therapyABSTRACT
BACKGROUND: Decompensating patients require expeditious and focused care at the bedside. This can be particularly challenging when there are multiple layers of providers, each with differing specialisation, experience and autonomy. We examined the impact of our intensivist-driven hospital-wide rapid response team (RRT) at our 1171-bed quaternary care centre. DESIGN: Single-centre retrospective cohort study. METHODS: RRT service was implemented to assess, manage and triage acutely ill patients outside the intensive care unit (ICU). Criteria for consultation and workflow were established. The 24/7 team was led by an intensivist and included nurse practitioners and respiratory therapists. Over 3 years, we reviewed the impact of the RRT on patient outcomes and critical care support beyond the ICU. RESULTS: Over 3 years, the RRT received 31 392 consults for 12 122 individual patients averaging 30 consults over 24 hours. 58.9% of the calls received were for sepsis alerts/risk of decompensation and 41.1% of the consults were for reasons of acute decompensation. Among patients that were seen by the RRT, over the course of their hospital stay, 14% were upgraded to a step-down unit, 18% were upgraded to the ICU and 68% completed care without requiring any escalation. The average mortality rate for patients seen by the RRT service during their hospital stay was 11.3% with an average 30-day readmission rate of 16.5% and average hospital length of stay 16 days without significant variation between the 3 years. CONCLUSIONS: Intensivist-led RRT ensured consistent high value care. Early intervention and consistent supervision enabled timely and efficient delivery of critical care services.
Subject(s)
Clinical Deterioration , Critical Care , Hospital Rapid Response Team/organization & administration , Hospitalization/statistics & numerical data , Point-of-Care Testing/organization & administration , Adult , Clinical Protocols/standards , Critical Care/methods , Critical Care/organization & administration , Critical Care/trends , Humans , Intensive Care Units/organization & administration , Intensive Care Units/statistics & numerical data , Length of Stay/statistics & numerical data , Mortality , New York City , Organizational Innovation , Patient Readmission/statistics & numerical data , Patient Transfer/statistics & numerical data , Quality ImprovementABSTRACT
AIM: To identify strategies to improve time to prone in ICUs during the coronavirus disease 2019 (COVID-19) pandemic for patients meeting the criteria for prone position ventilation. BACKGROUND: Healthcare systems worldwide experienced an influx of COVID-19 patients, especially in critical care. COVID-19 patients are at risk of acute respiratory distress syndrome (ARDS). Prone position ventilation is the standard of care for mechanically ventilated patients with moderate to severe ARDS. Prone maneuvers in and of itself are time-consuming and labor-intensive, posing additional risks to patients. APPROACH: Our academic medical center developed a travel proning team to address the rapid increase in COVID-19 patients with ARDS necessitating prone positioning. EVALUATION: Over a period of 30 days, 420 ICU patients were intubated, 131 had moderate to severe ARDS and underwent prone positioning. Patients were placed in prone position or returned to supine position more than 834 times over 38 days. At the highest point, 37 procedures were done in 24 hours. CONCLUSION: This quality initiative demonstrated that utilization of a traveling proning team provides efficiency in time to prone. Developing a travel prone team allowed for efficiency in time to prone, supported the ICU clinical teams, and enhanced interdisciplinary collaboration, which is essential during times of crisis.
Subject(s)
COVID-19/nursing , Patient Care Team , Patient Positioning/methods , Prone Position , Respiration, Artificial/nursing , Respiratory Distress Syndrome/nursing , COVID-19/complications , Humans , Intensive Care Units , Respiratory Distress Syndrome/etiologyABSTRACT
AIM: To identify strategies that increase hospital bed capacity, material resources, and available nurse staffing during a national pandemic. BACKGROUND: The COVID-19 outbreak resulted in an influx of acutely ill patients requiring critical care. The volume and acuity of this patient population increased the demand for care and stretched hospitals beyond their capacity. While increasing hospital bed capacity and material resources are crucial, healthcare systems have noted one of the greatest limitations to rapid expansion has been the number of available medical personnel, particularly those trained in emergency and critical care nursing. EVALUATION: Program evaluation occurred on a daily basis with hospital throughput, focusing on logistics including our ability to expand bed volume, resource utilization, and the ability to meet staffing needs. CONCLUSION: This article describes how a quaternary care hospital in New York City prepared for the COVID-19 surge in patients by maximizing and shifting nursing resources to its most impacted services, the emergency department (ED) and the intensive care units (ICUs). A tier-based staffing model and rapid training were operationalized to address nurse-staffing shortages in the ICU and ED, identifying key factors for swift deployment. IMPLICATIONS FOR NURSING MANAGERS: Frequent communication between staff and leaders improves teamwork and builds trust and buy-in during normal operations and particularly in times of crisis.
Subject(s)
COVID-19/nursing , Critical Care/organization & administration , Intensive Care Units/organization & administration , Nursing Staff, Hospital/supply & distribution , Personnel Staffing and Scheduling/organization & administration , Hospital Bed Capacity , Humans , Outcome Assessment, Health CareABSTRACT
PURPOSE: Obtaining vascular access in the pediatric population can be challenging, with insertion success rates varying widely based on patient and practitioner associated factors. Difficulty establishing peripheral intravenous access can delay treatment, which can be detrimental in emergent situations. Nurses who are trained in vascular access yield a much higher first attempt success rate, which decreases resource utilization, time to intervention, and complication rate. Fewer insertion attempts can also result in improved outcomes including decreased length of stay and better patient and family perception of pain. DESIGN AND METHODS: The Vascular Access Service at our institution developed an extensive training program, which included three stages: didactic learning, simulation training, and insertion validation. RESULTS: During the first three months of 2020, there were 54 ultrasound-guided peripheral IVs placed in the pediatric intensive care units, 100% of which were placed by the vascular access service. In the first three months of 2021, 63 ultrasound-guided peripheral IVs were placed, 100% of which were placed by pediatric intensive care unit nurses. Of those placed by pediatric intensive care unit nurses, 52 (82.5%) were placed following their ultrasound-guided peripheral IV training. First time insertion success rates were 86.5% with competency in a diverse patient population of widely varying ages. CONCLUSIONS: Programs that include repeated simulation experiences may facilitate greater learning and thus increase the confidence of the nurses trained. Improving staff skills for vascular access has promoted independent bedside practice and contributed to a culture of quality and safety for the pediatric patient population.
Subject(s)
Catheterization, Peripheral , Catheterization, Peripheral/adverse effects , Child , Clinical Competence , Humans , Injections, Intravenous , Intensive Care Units, Pediatric , Ultrasonography, InterventionalABSTRACT
The experience of critical care is stressful for both patients and their families. This is especially true when patients are not able to make their own care decisions. This article details the creation of a Family Experience Survey in a surgical intensive care unit (SICU) to capture and improve overall experience. Kolcaba's "Enhanced Comfort Theory" provided the theoretical basis for question formation, specifically in regards to the four aspects of comfort: "physical," "psycho-spiritual," "sociocultural" and "environmental." Survey results were analyzed in real-time to identify and implement interventions needed for issues raised. Overall, there was a high level of satisfaction reported especially with quality of care provided to patients, communication and availability of nurses and doctors, explanations from staff, inclusion in decision making, the needs of patients being met, quality of care provided to patients and cleanliness of the unit. It was noted that 'N/A' was indicated for cultural needs and spiritual needs, a chaplain now rounds on all patients daily to ensure these services are more consistently offered. In addition, protocols for doctor communication with families, palliative care consults, daily bleach cleaning of high touch areas in patient rooms and nurse-led progressive mobility have been implemented. Enhanced comfort theory enabled the opportunity to identify and provide a more 'broad' approach to care for patients and families.
Subject(s)
Critical Care , Family/psychology , Intensive Care Units , Personal Satisfaction , Surveys and QuestionnairesABSTRACT
Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal nutrition strategy, however, remains a subject of intense debate. Artificial intelligence (AI) applications are becoming increasingly common in medicine, and specifically in critical care, driven by the data-rich environment of intensive care units. In this review, we will examine the evidence regarding the application of AI in critical care nutrition. As of now, the use of AI in critical care nutrition is relatively limited, with its primary emphasis on malnutrition screening and tolerance of enteral nutrition. Despite the current scarcity of evidence, the potential for AI for more personalized nutrition management for critically ill patients is substantial. This stems from the ability of AI to integrate multiple data streams reflecting patients' changing needs while addressing inherent heterogeneity. The application of AI in critical care nutrition holds promise for optimizing patient outcomes through tailored and adaptive nutrition interventions. A successful implementation of AI, however, necessitates a multidisciplinary approach, coupled with careful consideration of challenges related to data management, financial aspects, and patient privacy.
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Background: New York City was the epicenter of the initial surge of the COVID-19 pandemic in the United States. Tracheostomy is a critical procedure in the care of patients with COVID-19. We hypothesized that early tracheostomy would decrease the length of time on sedation, time on mechanical ventilation, intensive care unit length of stay, and mortality. Methods: A retrospective analysis of outcomes for all patients with COVID-19 who underwent tracheostomy during the first year of the COVID-19 pandemic at the Mount Sinai Hospital in New York City, New York. All adult intensive care units at the Mount Sinai Hospital, New York. Patients/subjects: 888 patients admitted to intensive care with COVID-19. Results: All patients admitted to the intensive care unit with COVID-19 (888) from 1 March 2020 to 1 March 2021 were analyzed and separated further into those intubated (544) and those requiring tracheostomy (177). Of those receiving tracheostomy, outcomes were analyzed for early (≤12 days) or late (>12 days) tracheostomy. Demographics, medical history, laboratory values, type of oxygen and ventilatory support, and clinical outcomes were recorded and analyzed. Conclusions: Early tracheostomy resulted in reduced duration of mechanical ventilation, reduced hospital length of stay, and reduced intensive care unit length of stay in patients admitted to the intensive care unit with COVID-19. There was no effect on overall mortality.
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The use of a do-not-resuscitate (DNR) order is a powerful tool in outlining end-of-life care. This study explores sociodemographic factors associated with selection of a DNR order and assigning a healthcare proxy in the Surgical Intensive Care Unit (SICU). A retrospective chart review of 312 patients who expired in the SICU over a 7-year period was conducted. We analyzed the association of sociodemographic factors to selection of a DNR order and assignment of a healthcare proxy. Year of admission, age, religion, and proxy were independently associated with selection of DNR. In particular, the relative chance of a DNR selection in 2019 compared to 2012 was 3.538 (95% CL = 2.001-6.255, P < .01). There are significant sociodemographic factors that influence DNR utilization, highlighting the need to consider the social and religious backgrounds when engaging patients and their families in end-of-life care. Future studies will need to be conducted on whether these sociodemographic factors influence surviving patients as this study's findings can only be applied to those who have expired.
Subject(s)
Resuscitation Orders , Sociodemographic Factors , Humans , Retrospective Studies , Intensive Care Units , Critical CareABSTRACT
BACKGROUND: Within the United States health care system, one of the most common procedures performed daily is urinary catheterization. Oftentimes, the urinary catheter is placed by nursing personnel without any difficulty. Although the procedure is usually simple and routine, there are instances in which placement can be problematic. LOCAL PROBLEM: Urology is one of the smallest surgical subspecialties, with intermittent availability given active commitments in the operating room and clinic. This opened an opportunity for nurse practitioners (NPs) at an urban quaternary care hospital to further enhance their skill set in the care of these patients. METHODS: Fifteen Rapid Response Team NPs were selected based on specific criteria. Their roles expanded to include consults for difficult urinary catheter insertions. INTERVENTION: A 2-step training program was implemented for NPs to develop proficiency in inserting urinary catheters in patients with new or known urologic conditions. RESULTS: Of the 391 catheter consults made to the NP group, 73 (18.7%) of them required urology follow-up. CONCLUSION: This program can benefit patients by potentially reducing catheter-related complications and associated length of stay.
Subject(s)
Nurse Practitioners , Urinary Catheterization , Humans , United States , Urinary Catheterization/adverse effects , Urinary Catheters , Referral and Consultation , Postoperative ComplicationsABSTRACT
To outline the postoperative management of a long segment tracheal transplant in the ICU setting. DESIGN: The recipient required reconstruction of a long segment tracheal defect from a previous prolonged intubation. A male donor was chosen for a female recipient to enable analysis of the reepithelialization kinetics using fluorescence in situ hybridization to analyze the source of the new ciliated epithelium. SETTING: Transplant ICU at the Mount Sinai Hospital, New York, NY. PATIENTS: The female recipient was previously intubated for an asthma exacerbation and subsequently developed long segment tracheal stenosis and failed conventional management including dilatation, stenting, and six major surgical procedures rendering her chronically tracheostomy-dependent. The male donor suffered a massive subarachnoid hemorrhage and was subsequently pronounced brain dead. Organ procurement occurred after obtaining appropriate consent from the patient's family. INTERVENTIONS: The patient received a deceased donor tracheal allograft that included the thyroid gland, parathyroid glands, and the muscularis of the cervical and thoracic esophagus. Triple therapy immunosuppression (tacrolimus, mycophenolate mofetil, and a corticosteroid taper) was maintained. MEASUREMENTS AND MAIN RESULTS: The patient was initially managed postoperatively with deep sedation on ventilator via armored/reinforced endotracheal tube placed through a small tracheostomy located along the superior tracheal anastomosis. Serial bronchoscopies were performed for graft assessment, pulmonary toilet, and biopsies, which initially showed acute inflammatory changes but no features of acute allograft rejection. A euthyroid state was maintained but hypercalcemia developed. CONCLUSIONS: The ICU management of this first long segment orthotopic tracheal transplant required a multidisciplinary approach involving critical care, otolaryngology, transplant surgery, interventional pulmonary, endocrinology, 1:1 nursing throughout the recipient's transplant ICU stay, and respiratory therapy that resulted in the successful establishment of a viable tracheal airway and heralded the end of chronic tracheostomy dependence.
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BACKGROUND: We aim to describe the demographics and outcomes of patients with severe disease with the Omicron variant. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus continues to mutate, and the availability of vaccines and boosters continue to rise, it is important to understand the health care burden of new variants. We analyze patients admitted to intensive care units (ICUs) in a large Academic Health System during New York City's fourth surge beginning on November 27, 2021. METHODS: All patients admitted to an ICU were included in the primary analysis. Key demographics and outcomes were retrospectively compared between patients stratified by vaccination status. Univariate and multivariate logistic regression was used to identify risk factors for in-hospital mortality. RESULTS: In-hospital mortality for all admitted patients during the fourth wave was significantly lower than in previous waves. However, among patients requiring intensive care, in-hospital mortality was high across all levels of vaccination status. In a multivariate model older age was associated with increased in-hospital mortality, vaccination status of overdue for booster was associated with decreased in hospital mortality, and vaccination status of up-to-date with vaccination showed a trend to reduced mortality. CONCLUSIONS: In-hospital mortality of patients with severe respiratory failure from coronavirus disease 2019 (COVID-19) remains high despite decreasing overall mortality. Vaccination against SARS-CoV-2 was protective against mortality. Vaccination remains the best and safest way to protect against serious illness and death from COVID-19. It remains unclear that any other treatment will have success in changing the natural history of the disease.
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The third wave of COVID-19 is unique in that vaccines have been widely available; however, the highly transmissible Delta variant has been the predominant strain. Temporal changes of hospitalized patient characteristics should continue to be analyzed as COVID-19 progresses. OBJECTIVES: Compare the demographics and outcomes of hospitalized patients during New York City's third wave of COVID-19 to the first two waves. DESIGN SETTING AND PARTICIPANTS: Retrospective cohort study across five hospitals within Mount Sinai Health System, a quaternary academic medical system in New York City. Participants were adult inpatients admitted with COVID-19 identified by positive severe acute respiratory syndrome coronavirus 2 polymerase chain reaction at admission or clinical documentation of infection during the three waves of COVID-19. MAIN OUTCOMES AND MEASURES: Patient demographics, comorbidities, vaccination status, and outcomes of COVID-19 patients hospitalized at Mount Sinai Health System were examined. Patients admitted during the third wave were notably younger than the first two, were mostly unvaccinated against COVID-19, and there was a higher rate of patients who self-report as Black or African American as compared with the first two waves. The rate of patients requiring ICU level of care remained consistent throughout all three periods; however, the rate of patients requiring invasive mechanical ventilation decreased and inhospital mortality has trended down. Unvaccinated patients in the third wave are significantly younger with lower comorbidity burden than fully vaccinated patients. RESULTS: A total of 13,036 patients were included between the 3 waves. In the 3rd wave patients were notably younger, with a lower intubation rate and lower inhospital death rate. In the 3rd wave, 400 (62.9%) were unvaccinated, 236 (37.1%) were fully vaccinated, and 34 (4.8%) were partially vaccinated. Unvaccinated patients had similar rates of intubation and invasive mechanical ventilation compared with vaccinated patients, though inhospital mortality was lower in unvaccinated patients compared with vaccinated patients which may be expected given their lower age and burden of comorbidities. CONCLUSIONS AND RELEVANCE: We continue to see improved outcomes in hospitalized COVID-19 patients. Patients that are unvaccinated against COVID-19 are younger and have less reported comorbidities.
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INTRODUCTION: Certain airway disorders, such as tracheal stenosis, can severely affect the ability to breathe, reduce quality of life, and increase morbidity and mortality. Treatment options for long-segment tracheal stenosis include multistage tracheal replacement with biosynthetic material, autotransplantation, and allotransplantation. These interventions have not demonstrated long-term dependable results because of lack of adequate blood supply to the organ and ciliated epithelium. A new transplant program featuring single-stage long-segment tracheal transplant addresses this concern. CLINICAL FINDINGS: The patient was a 56-year-old woman with a history of obesity, type 2 diabetes, hypertension, hyperlipidemia, liver sarcoidosis, 105-pack-year smoking history, and asthma. A severe asthma exacerbation in 2014 required prolonged intubation, and she subsequently developed long-segment cricotracheal stenosis. In 2015 she underwent an unsuccessful tracheal resection followed by failed attempts at tracheal stenting and dilation procedures. These attempts at stenting resulted in a permanent extended-length tracheostomy and ultimately ventilator dependency. INTERVENTIONS: The patient underwent a single-stage long-segment deceased donor tracheal transplant. Important nursing considerations included hemodynamic monitoring, airway management and securement, graft assessment, stoma and wound care, nutrition, medication administration, and patient education. CONCLUSION: High-quality nursing care postoperatively in the intensive care unit is critical to safe and effective treatment of the tracheal transplant recipient and success of the graft. To effectively treat these patients, nurses need relevant education and training. This article is the first documentation of postoperative nursing care following single-stage long-segment tracheal transplant.