Critical care medicine in the United States 2000-2005: an analysis of bed numbers, occupancy rates, payer mix, and costs

Semi-quantitative visual assessment of chest radiography is associated with clinical outcomes in critically ill patients

Background

Respiratory pathology is a major driver of mortality in the intensive care unit (ICU), even in the absence of a primary respiratory diagnosis. Prior work has demonstrated that a visual scoring system applied to chest radiographs (CXR) is associated with adverse outcomes in ICU patients with Acute Respiratory Distress Syndrome (ARDS). We hypothesized that a simple, semi-quantitative CXR score would be associated with clinical outcomes for the general ICU population, regardless of underlying diagnosis.

Methods

All individuals enrolled in the Registry of Critical Illness at Brigham and Women’s Hospital between June 2008 and August 2018 who had a CXR within 24 h of admission were included. Each patient’s CXR was assigned an opacification score of 0–4 in each of four quadrants with the total score being the sum of all four quadrants. Multivariable negative binomial, logistic, and Cox regression, adjusted for age, sex, race, immunosuppression, a history of chronic obstructive pulmonary disease, a history of congestive heart failure, and APACHE II scores, were used to assess the total score’s association with ICU length of stay (LOS), duration of mechanical ventilation, in-hospital mortality, 60-day mortality, and overall mortality, respectively.

Results

A total of 560 patients were included. Higher CXR scores were associated with increased mortality; for every one-point increase in score, in-hospital mortality increased 10% (OR 1.10, CI 1.05–1.16, p < 0.001) and 60-day mortality increased by 12% (OR 1.12, CI 1.07–1.17, p < 0.001). CXR scores were also independently associated with both ICU length of stay (rate ratio 1.06, CI 1.04–1.07, p < 0.001) and duration of mechanical ventilation (rate ratio 1.05, CI 1.02–1.07, p < 0.001).

Conclusions

Higher values on a simple visual score of a patient’s CXR on admission to the medical ICU are associated with increased in-hospital mortality, 60-day mortality, overall mortality, length of ICU stay, and duration of mechanical ventilation.

Economic Evaluation of a Patient-Directed Music Intervention for ICU Patients Receiving Mechanical Ventilatory Support

OBJECTIVES

Music intervention has been shown to reduce anxiety and sedative exposure among mechanically ventilated patients. Whether music intervention reduces ICU costs is not known. The aim of this study was to examine ICU costs for patients receiving a patient-directed music intervention compared with patients who received usual ICU care.

DESIGN

A cost-effectiveness analysis from the hospital perspective was conducted to determine if patient-directed music intervention was cost-effective in improving patient-reported anxiety. Cost savings were also evaluated. One-way and probabilistic sensitivity analyses determined the influence of input variation on the cost-effectiveness.

SETTING

Midwestern ICUs.

PATIENTS

Adult ICU patients from a parent clinical trial receiving mechanical ventilatory support.

INTERVENTIONS

Patients receiving the experimental patient-directed music intervention received a MP3 player, noise-canceling headphones, and music tailored to individual preferences by a music therapist.

MEASUREMENTS AND MAIN RESULTS

The base case cost-effectiveness analysis estimated patient-directed music intervention reduced anxiety by 19 points on the Visual Analogue Scale-Anxiety with a reduction in cost of $2,322/patient compared with usual ICU care, resulting in patient-directed music dominance. The probabilistic cost-effectiveness analysis found that average patient-directed music intervention costs were $2,155 less than usual ICU care and projected that cost saving is achieved in 70% of 1,000 iterations. Based on break-even analyses, cost saving is achieved if the per-patient cost of patient-directed music intervention remains below $2,651, a value eight times the base case of $329.

CONCLUSIONS

Patient-directed music intervention is cost-effective for reducing anxiety in mechanically ventilated ICU patients.

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients

OBJECTIVES

Risk adjustment algorithms for ICU mortality are necessary for measuring and improving ICU performance. Existing risk adjustment algorithms are not widely adopted. Key barriers to adoption include licensing and implementation costs as well as labor costs associated with human-intensive data collection. Widespread adoption of electronic health records makes automated risk adjustment feasible. Using modern machine learning methods and open source tools, we developed and evaluated a retrospective risk adjustment algorithm for in-hospital mortality among ICU patients. The Risk of Inpatient Death score can be fully automated and is reliant upon data elements that are generated in the course of usual hospital processes.

SETTING

One hundred thirty-one ICUs in 53 hospitals operated by Tenet Healthcare.

PATIENTS

A cohort of 237,173 ICU patients discharged between January 2014 and December 2016.

DESIGN

The data were randomly split into training (36 hospitals), and validation (17 hospitals) data sets. Feature selection and model training were carried out using the training set while the discrimination, calibration, and accuracy of the model were assessed in the validation data set.

MEASUREMENTS AND MAIN RESULTS

Model discrimination was evaluated based on the area under receiver operating characteristic curve; accuracy and calibration were assessed via adjusted Brier scores and visual analysis of calibration curves. Seventeen features, including a mix of clinical and administrative data elements, were retained in the final model. The Risk of Inpatient Death score demonstrated excellent discrimination (area under receiver operating characteristic curve = 0.94) and calibration (adjusted Brier score = 52.8%) in the validation dataset; these results compare favorably to the published performance statistics for the most commonly used mortality risk adjustment algorithms.

CONCLUSIONS

Low adoption of ICU mortality risk adjustment algorithms impedes progress toward increasing the value of the healthcare delivered in ICUs. The Risk of Inpatient Death score has many attractive attributes that address the key barriers to adoption of ICU risk adjustment algorithms and performs comparably to existing human-intensive algorithms. Automated risk adjustment algorithms have the potential to obviate known barriers to adoption such as cost-prohibitive licensing fees and significant direct labor costs. Further evaluation is needed to ensure that the level of performance observed in this study could be achieved at independent sites.

Effect of Boarding on Mortality in ICUs

OBJECTIVES

Hospitals use a variety of strategies to maximize the availability of limited ICU beds. Boarding, which involves assigning patients to an open bed in a different subspecialty ICU, is one such practice employed when ICU occupancy levels are high, and beds in a particular unit are unavailable. Boarding disrupts the normal geographic colocation of patients and care teams, exposing patients to nursing staff with different training and expertise to those caring for nonboarders. We analyzed whether medical ICU patients boarding in alternative specialty ICUs are at increased risk of mortality.

DESIGN

Retrospective cohort study using an instrumental variable analysis to control for unmeasured confounding. A semiparametric bivariate probit estimation strategy was employed for the instrumental model. Propensity score matching and standard logistic regression (generalized linear modeling) were used as robustness checks.

SETTING

The medical ICU of a tertiary care nonprofit hospital in the United States between 2002 and 2012.

PATIENTS

All medical ICU admissions during the specified time period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The study population consisted of 8,429 patients of whom 1,871 were boarders. The instrumental variable model demonstrated a relative risk of 1.18 (95% CI, 1.01-1.38) for ICU stay mortality for boarders. The relative risk of in-hospital mortality among boarders was 1.22 (95% CI, 1.00-1.49). GLM and propensity score matching without use of the instrument yielded similar estimates. Instrumental variable estimates are for marginal patients, whereas generalized linear modeling and propensity score matching yield population average effects.

CONCLUSIONS

Mortality increased with boarding of critically ill patients. Further research is needed to identify safer practices for managing patients during periods of high ICU occupancy.

Temporal Trends in Healthcare Costs and Outcome Following ICU Admission After Traumatic Brain Injury

Supplemental Digital Content is available in the text.

Objective:

To assess temporal trends in 1-year healthcare costs and outcome of intensive care for traumatic brain injury in Finland.

Design:

Retrospective observational cohort study.

Setting:

Multicenter study including four tertiary ICUs.

Patients:

Three thousand fifty-one adult patients (≥ 18 yr) with significant traumatic brain injury treated in a tertiary ICU during 2003–2013.

Intervention:

None.

Measurements and Main Results

: Total 1-year healthcare costs included the index hospitalization costs, rehabilitation unit costs, and social security reimbursements. All costs are reported as 2013 U.S. dollars ($). Outcomes were 1-year mortality and permanent disability. Multivariate regression models, adjusting for case-mix, were used to assess temporal trends in costs and outcome in predefined Glasgow Coma Scale (3–8, 9–12, and 13–15) and age (18–40, 41–64, and ≥ 65 yr) subgroups. Overall 1-year survival was 76% (n = 2,304), and of 1-year survivors, 37% (n = 850) were permanently disabled. Mean unadjusted 1-year healthcare cost was $39,809 (95% CI, $38,144–$41,473) per patient. Adjusted healthcare costs decreased only in the Glasgow Coma Scale 13–15 and 65 years and older subgroups, due to lower rehabilitation costs. Adjusted 1-year mortality did not change in any subgroup (p < 0.05 for all subgroups). Adjusted risk of permanent disability decreased significantly in all subgroups (p < 0.05).

Conclusion:

During the last decade, healthcare costs of ICU-admitted traumatic brain injury patients have remained largely the same in Finland. No change in mortality was noted, but the risk for permanent disability decreased significantly. Thus, our results suggest that cost-effectiveness of traumatic brain injury care has improved during the past decade in Finland.

Survival rates following medical intensive care unit admission from 2003 to 2013: An observational study based on a representative population-based sample cohort of Korean patients

The decision as to whether patients should be admitted to a medical intensive care unit (ICU), in the absence of information concerning survival rates or prognostic factors in survival, is often challenging. We analyzed survival trends in relation to hospital discharge and examined patient and hospital characteristics associated with survival following ICU care, using a sample of nationwide claims data in Korea from 2002 through 2013. The Korean government implements a compulsory social insurance program that covers the country's entire population, and the Korean National Health Insurance Service-National Sample Cohort (NHIS-NSC) data from 2002 based on this program were used for this study. The NHIS-NSC is a stratified random sample of 1,025,340 subjects selected from around 46 million Koreans. We evaluated annual survival trends using the Kaplan-Meier test. Analyses of the relationship between survival and patient and hospital characteristics were performed using Cox regression analyses. Employing a multivariate model, variables were selected using the forward selection method to consider the multicollinearity of variables. A total of 32,553 patients admitted to an ICU between 2002 and 2013 were identified among the eligible beneficiaries. The number of patients who had histories of ICU admission steadily increased throughout the study period, and patients older than 80 years constituted a progressively increasing proportion of ICU admissions, from 7.3% in 2002 to 16.9% in 2007 to 23.1% in 2013. The mean number of mechanical equipment items applied consistently increased, while no difference was observed in the trend for overall 1-year survival in patients following ICU treatment across the study period: the 1-year survival rate ranged from 66.7% (year 2003) to 64.2% (year 2010). Advanced age, cancer, renal failure, pneumonia, and influenza were all associated with heightened risk of mortality within 1 year. Our results should prove useful to older patients and their clinicians in their decisions regarding whether to seek ICU care, with the goals of improving the end-of life care and optimizing resource utilization.

The Association of ICU Acuity With Outcomes of Patients at Low Risk of Dying

OBJECTIVE

Many ICU patients do not require critical care interventions. Whether aggressive care environments increase risks to low-acuity patients is unknown. We evaluated whether ICU acuity was associated with outcomes of low mortality-risk patients. We hypothesized that admission to high-acuity ICUs would be associated with worse outcomes. This hypothesis was based on two possibilities: 1) high-acuity ICUs may have a culture of aggressive therapy that could lead to potentially avoidable complications and 2) high-acuity ICUs may focus attention toward the many sicker patients and away from the fewer low-risk patients.

DESIGN

Retrospective cohort study.

SETTING

Three hundred twenty-two ICUs in 199 hospitals in the Philips eICU database between 2010 and 2015.

PATIENTS

Adult ICU patients at low risk of dying, defined as an Acute Physiology and Chronic Health Evaluation-IVa-predicted mortality of 3% or less.

EXPOSURE

ICU acuity, defined as the mean Acute Physiology and Chronic Health Evaluation IVa score of all admitted patients in a calendar year, stratified into quartiles.

MEASUREMENTS AND MAIN RESULTS

We used generalized estimating equations to test whether ICU acuity is independently associated with a primary outcome of ICU length of stay and secondary outcomes of hospital length of stay, hospital mortality, and discharge destination. The study included 381,997 low-risk patients. Mean ICU and hospital length of stay were 1.8 ± 2.1 and 5.2 ± 5.0 days, respectively. Mean Acute Physiology and Chronic Health Evaluation IVa-predicted hospital mortality was 1.6% ± 0.8%; actual hospital mortality was 0.7%. In adjusted analyses, admission to low-acuity ICUs was associated with worse outcomes compared with higher-acuity ICUs. Specifically, compared with the highest-acuity quartile, ICU length of stay in low-acuity ICUs was increased by 0.24 days; in medium-acuity ICUs by 0.16 days; and in high-acuity ICUs by 0.09 days (all p < 0.001). Similar patterns existed for hospital length of stay. Patients in lower-acuity ICUs had significantly higher hospital mortality (odds ratio, 1.28 [95% CI, 1.10-1.49] for low-; 1.24 [95% CI, 1.07-1.42] for medium-, and 1.14 [95% CI, 0.99-1.31] for high-acuity ICUs) and lower likelihood of discharge home (odds ratio, 0.86 [95% CI, 0.82-0.90] for low-, 0.88 [95% CI, 0.85-0.92] for medium-, and 0.95 [95% CI, 0.92-0.99] for high-acuity ICUs).

CONCLUSIONS

Admission to high-acuity ICUs is associated with better outcomes among low mortality-risk patients. Future research should aim to understand factors that confer benefit to patients with different risk profiles.

How Effective are Intensive Care Unit Beds Used in Our Region?

Objective

The demand for critical care facilities is also growing in our country. The aim of the present study was to investigate the incidence and causes of inappropriate admissions to adult intensive care units (ICUs) in our region to facilitate the planning of bed numbers.

Methods

A team of specialists made an unannounced visit to level 1, 2 and 3 adult ICUs in 12 hospitals in our region between June 2014 and January 2015. A total of 290 ICU patients were evaluated.

Results

The rate of inappropriate ICU admission was 55.9%, and the most common reason was the lack of a lower level ICU. Palliative patients comprised 35.5% of the ICU patients, 68% of whom should have been in home care. The rate of inappropriate admission was 16.7% higher in open ICUs than in closed ICUs.

Conclusion

Our results indicate that instead of increasing the number of beds in level 2 and 3 ICUs, hospitals should increase the number of level 1 ICU beds. In addition, we believe that the existing beds could be utilised more effectively if all ICUs implemented a closed management style and if there was better coordination between ICUs.

Ethical considerations in conducting surgical research in severe complicated intra-abdominal sepsis

BACKGROUND

Severe complicated intra-abdominal sepsis (SCIAS) has high mortality, thought due in part to progressive bio-mediator generation, systemic inflammation, and multiple organ failure. Treatment includes early antibiotics and operative source control. At surgery, open abdomen management with negative-peritoneal-pressure therapy (NPPT) has been hypothesized to mitigate MOF and death, although clinical equipoise for this operative approach exists. The Closed or Open after Laparotomy (COOL) study (https://clinicaltrials.gov/ct2/show/NCT03163095) will prospectively randomize eligible patients intra-operatively to formal abdominal closure or OA with NPTT. We review the ethical basis for conducting research in SCIAS.

MAIN BODY

Research in critically ill incapacitated patients is important to advance care. Conducting research among SCIAS is complicated due to the severity of illness including delirium, need for emergent interventions, diagnostic criteria confirmed only at laparotomy, and obtundation from anaesthesia. In other circumstances involving critically ill patients, clinical experts have worked closely with ethicists to apply principles that balance the rights of patients whilst simultaneously permitting inclusion in research. In Canada, the Tri-Council Policy Statement-2 (TCPS-2) describes six criteria that permit study enrollment and randomization in such situations: (a) serious threat to the prospective participant requires immediate intervention; (b) either no standard efficacious care exists or the research offers realistic possibility of direct benefit; (c) risks are not greater than that involved in standard care or are clearly justified by prospect for direct benefits; (d) prospective participant is unconscious or lacks capacity to understand the complexities of the research; (e) third-party authorization cannot be secured in sufficient time; and (f) no relevant prior directives are known to exist that preclude participation. TCPS-2 criteria are in principle not dissimilar to other (inter)national criteria. The COOL study will use waiver of consent to initiate enrollment and randomization, followed by surrogate or proxy consent, and finally delayed informed consent in subjects that survive and regain capacity.

CONCLUSIONS

A delayed consent mechanism is a practical and ethical solution to challenges in research in SCIAS. The ultimate goal of consent is to balance respect for patient participants and to permit participation in new trials with a reasonable opportunity for improved outcome and minimal risk of harm.

Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran

Background: Hospital services are the most expensive medical service in modern health care systems. Intense care beds, in particular, are more important. The present study was conducted to design and validate a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran. Methods: In this mixed method study, first, all known factors affecting the distribution of hospitals' intensive care beds were extracted by reviewing related literature. Then, all 60 confirmed items were categorized into different dimensions. Face validity and content validity of the questionnaire was done by 20 medical experts through qualitative and quantitative methods. Validity and reliability indices, content validity index (CVI), content validity ratio (CVR), and Cronbach's alpha were measured. SPSS software were used for data analysis and significance level was set at less than .05. Results: From the 60 suggested items, 34 were confirmed by the expert panels and all items had CVR and CVI scores higher than 0.83 and 0.81, respectively. CVR and CVI for all 34 items were 0.88 and 0.89, respectively. Also, Cronbach's alpha coefficient (0.75) indicated a suitable internal consistency. The value of S-CVI / Ave was also calculated to be 0.92. Conclusion: In this study, a valid tool was designed to identify the factors affecting the distribution of hospitals' intensive care beds. This tool consists of 6 dimensions: demographic, geographic, economic, sociopolitical, organizational, and constructional.

Characteristics and outcome of high-cost ICU patients

Purpose

Care at ICUs is expensive and variable depending on the type of care that the patients received. Knowing the characteristics of the patient and his or her disease is always useful for improving health services and cost containment.

Patients and methods

An observational study was conducted at four different intensive care units of an academic medical institution. Demographic characteristics, disease-management casemix information, cost and outcome of the high costing decile, and the rest of the cases were compared.

Results

A total of 3,220 discharges were included in the study. The high-cost group contributed 35.4% of the ICU stays and 38.8% of the total ICU expenditure. Diseases of the central nervous system had higher odds to be in the top decile of costly patients whereas the cardiovascular system was more likely to be in the non-high cost category. The high-cost patients were more likely to have death as an outcome (19.2% vs 9.3%; p<0.001). The most common conditions that were in the high-cost groups were craniotomy, other ear, nose, mouth, and throat operations, simple respiratory system operations, complex intestinal operations, and septicemia. These five diagnostic groups made up 43% of the high-cost decile.

Conclusion

High-cost patients utilized almost 40% of the ICU cost although they were only 10% of the ICU patients. The chances of admission to the ICU increased with older age and severity level of the disease. Central nervous system diseases were the major problem of patients aged 46–69 years old. In addition to cost reduction strategies at the treatment level, detailed analysis of these cases was needed to explore and identify pre-event stage prevention strategies.

Effects of a visit prior to hospital admission on anxiety, depression and satisfaction of patients in an intensive care unit

OBJECTIVES

To assess the effects of a vists prior to hospital admission on anxiety, depression and satisfaction of patients admitted electively to an intensive care unit (ICU).

DESIGN

A randomised clinical trial [NCT03605407].

SETTING

A sample of 38 patients was recruited who were to be electively admiited to ICU divided into experimental (n = 19 patients receiving one visit prior to hospital ICU admission for surgery) and control (n = 19 patients not receiving a visit prior to hospital ICU admission for surgery) groups.

MAIN OUTCOME MEASUREMENTS

Hospital Anxiety and Depression Scale (HADS) and Impact of Event Scale-Revised (IES-R) were self-reported by patients before ICU admission, at 3-days and 90-days after ICU discharge. Critical Care Family Needs Inventory (CCFNI) and Family Satisfaction with Care in the Intensive Care Unit (FS-ICU) were used to measure the users' satisfaction before ICU admission and 3-days after ICU discharge.

RESULTS

There were statistically significant differences between experimental and control groups for FS-ICU, but not for HADS, IES-R and CCFNI. Indeed, control group patients were more satisfied with regard to emotional support, ease of getting information, control feeling, concerns and questions expression ability and overall score for decision-making satisfaction.

CONCLUSIONS

The visit prior to hospital admission did not seem to modify anxiety or depression, but may impair satisfaction of ICU patients.

Urgent need for standardised guidelines for reporting healthcare costs in ICUs - Results of an integrative review of costing methodologies

OBJECTIVES

Diverse costing methodologies in critical care have produced discrepant results. We aimed to critically review studies addressing critical care patients' costs, to estimate total costs and cost categories and to delineate methodologies used and relevant limitations.

METHODS

Integrative review based on key-word searches of electronic databases targeting primary studies that report estimates of patient cost, in the last 21 years. We assessed the level transparency of reporting and the quality of the studies, by the SIGN tool.

RESULTS

Overall, 12 research articles were included, of which eight studies mentioned the specific approach used to identify the elements of cost. Most studies employed a micro-costing and one study a macro-costing approach. With regard to approaches to valuation of cost components, only one study identified the bottom-up approach. The total patient cost ranged from US$ 487 to US$ 39,300 and human resources was identified as the cost category mostly driving total costs.

CONCLUSIONS

Although valid methodologies to evaluate critical care patients' costs, such as micro-costing, are employed more frequently, a variety of non-standardized methods are still used. There is a pressing need to develop standardised guidelines for reporting of observational studies of cost in healthcare, with particular considerations for critical care.

Outcomes of prolonged mechanical ventilation in patients who underwent bedside percutaneous dilatation tracheostomy in intermediate care units - A single center study

BACKGROUND

The number of chronic critical illness (CCI) patients requiring prolonged mechanical ventilation (PMV) is increasing worldwide, mandating health professionals to discuss interventions while considering disease trajectory. The aim of this study was to analyze the survival of CCI patients who underwent percutaneous dilatational tracheostomy (PDT) within intermediate care units.

METHODS

We carried out a retrospective study of all patients who underwent PDT in our intermediate care units from 2009 to 2015. Based on their survival statuses at different time points, patients were categorized into groups of survival at one week, one month, and one year following the procedure.

RESULTS

This study included 254 patients. The mean age was 77.7 (±11.8) years. Out of the 254 patients included, 213 patients (84.2%) were defined as nursing care dependent. In-hospital mortality was 38.2% (97 patients). Seven patients (2.7%) were discharged to their homes. Overall survival rates at one week, one month, and one year following PDT were 88.6%, 66.1%, and 29.5%, respectively. Upon multivariate analyses, higher creatinine levels and resuscitation prior to the procedure were associated with increased mortality rates at one week and one month following tracheostomy. Higher creatinine and low albumin levels were associated with increased mortality at one year following tracheostomy.

CONCLUSION

The prognosis of CCI patients in intermediate care units is generally poor. Identified risk factors for complications and survival should be presented to patients and their surrogates when discussing courses of action and future treatments.

The Present State of Neurointensivist Training in the United States: A Comparison to Other Critical Care Training Programs

OBJECTIVE

This manuscript describes the state of neurocritical care fellowship training, compares its written standards to those of other critical care fellowship programs, and discusses how programmatic oversight by the United Council for Neurological Subspecialties should evolve to meet American College of Graduate Medical Education standards. This review is a work product of the Society of Critical Care Medicine Neuroscience section and was reviewed and approved by the Council of the Society of Critical Care Medicine.

DATA SOURCES

We evaluated the published training criteria and requirements of American College of Graduate Medical Education Critical Care subspecialty fellowships programs of Internal Medicine, Surgery, and Anesthesia and compared them with the training criteria and required competencies for neurocritical care.

STUDY SELECTION

We have reviewed the published training standards from American College of Graduate Medical Education as well as the United Council for Neurologic Subspecialties subspecialty training documents and clarified the definition and responsibilities of an intensivist with reference to the Leapfrog Group, the National Quality Forum, and the Joint Commission.

DATA EXTRACTION

No data at present exist to test the concept of similarity across specialty fellowship critical care training programs.

DATA SYNTHESIS

Neurocritical care training differs in its exposure to clinical entities that are directly associated to other critical care subspecialties. However, the core critical care knowledge, procedural skills, and competencies standards for neurocritical care appears to be similar with some important differences compared with American College of Graduate Medical Education critical care training programs.

CONCLUSIONS

The United Council for Neurologic Subspecialties has developed a directed program development strategy to emulate American College of Graduate Medical Education standards with the goal to have standards that are similar or identical to American College of Graduate Medical Education standards.

Association of an Emergency Department-Based Intensive Care Unit With Survival and Inpatient Intensive Care Unit Admissions

IMPORTANCE

Increased patient acuity, decreased intensive care unit (ICU) bed availability, and a shortage of intensivist physicians have led to strained ICU capacity. The resulting increase in emergency department (ED) boarding time for patients requiring ICU-level care has been associated with worse outcomes.

OBJECTIVE

To determine the association of a novel ED-based ICU, the Emergency Critical Care Center (EC3), with 30-day mortality and inpatient ICU admission.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used electronic health records of all ED visits between September 1, 2012, and July 31, 2017, with a documented clinician encounter at a large academic medical center in the United States with approximately 75 000 adult ED visits per year. The pre-EC3 cohort included ED patients from September 2, 2012, to February 15, 2015, when the EC3 opened, and the post-EC3 cohort included ED patients from February 16, 2015, to July 31, 2017. Data analyses were conducted from March 2, 2018, to May 28, 2019.

EXPOSURES

Implementation of EC3, an ED-based ICU designed to provide rapid initiation of ICU-level care in the ED setting and seamless transition to inpatient ICUs.

MAIN OUTCOMES AND MEASURES

The main outcomes were 30-day mortality among ED patients and rate of ED to ICU admission.

RESULTS

A total of 349 310 visits from a consecutive sample of ED patients (mean [SD] age, 48.5 [19.7] years; 189 709 [54.3%] women) were examined; the pre-EC3 cohort included 168 877 visits and the post-EC3 cohort included 180 433 visits. Implementation of EC3 was associated with a statistically significant reduction in risk-adjusted 30-day mortality among all ED patients (pre-EC3, 2.13%; post-EC3, 1.83%; adjusted odds ratio, 0.85; 95% CI, 0.80-0.90; number needed to treat, 333 patient encounters; 95% CI, 256-476). The risk-adjusted rate of ED admission to ICU decreased with implementation of EC3 (pre-EC3, 3.2%; post-EC3, 2.7%; adjusted odds ratio, 0.80; 95% CI, 0.76-0.83; number needed to treat, 179 patient encounters; 95% CI, 149-217).

CONCLUSIONS AND RELEVANCE

Implementation of a novel ED-based ICU was associated with improved 30-day survival and reduced inpatient ICU admission. Additional research is warranted to further explore the value of this novel care delivery model in various health care systems.

Critical Care in the Military Health System: A Survey-Based Summary of Critical Care Services

Introduction

Critical care is an important component of in-patient and combat casualty care, and it is a major contributor to U.S. healthcare costs. Regular exposure to critically ill and injured patients may directly contribute to wartime skills retention for military caregivers. Data describing critical care services in the Military Health System (MHS), however, is lacking. This study was undertaken to describe MHS critical care services, their resource utilization, and differences in care practices amongst military treatment facilities (MTFs).

Materials and Methods

Twenty-six MTFs representing 38 adult critical care services or intensive care units (ICUs) were surveyed. The survey collected information about organizational structure, resourcing, and unit characteristics at the time of a concurrent 24-h point-prevalence survey designed to describe patient characteristics and staffing in these facilities. The survey was anonymous and protected health information was not collected. We analyzed the data according to high capacity centers (HCCs) (≥200 beds) and low capacity centers (LCCs) (<200 beds). Differences between HCCs and LCCs were compared using Fisher's exact test.

Results

Seventeen MTFs (7 HCCs and 10 LCCs), representing 27 ICUs, responded to the survey. This was a 65% response rate for MTFs and a 71% response rate for services/ICUs. HCCs reported more closed vs. open ICUs; more dedicated critical care services (i.e., medical and surgical ICUs vs. mixed ICUs); fewer respiratory therapists available, but more with certification; more total nursing staff and more critical care certified nurses; the use of subjectively more effective protocols (10.5 vs. 6.7 protocols/unit or service); higher utilization of an ICU daily rounds checklist (65% vs. 0%); and less consistency of clinician type participation during multidisciplinary rounds. ICU leadership structure was similar among the institutions. The majority of respondents were unable to provide summary APACHE II scores, but HCCs were more likely to submit this information than LCCs. Most centers perform multidisciplinary rounds daily, but they are more likely to be run by a physician credentialed in critical care at HCCs (85% vs. 59%, p < 0.05). 67% of respondents reported mortality rates <5%. The two services that reported mortality rates greater than 10% were both LCCs.

Conclusion

This is the first comprehensive report about MHS critical care services. Despite notable variability in data reporting, an important finding itself, this study highlights notable differences in organizational structure and resourcing between HCCs and LCCs within the MHS. The clinical implication of these differences (i.e., impact on patient outcomes) of these differences require further study. Better understanding of MHS critical care services may improve enterprise decision-making about these services which could ultimately improve care of combat casualties.

Critical Care in the Military Health System: A 24-h Point Prevalence Study

Background

Healthcare expenditures are a significant economic cost with critical care services constituting one of its largest components. The Military Health System (MHS) is the largest, global healthcare system of its kind. In this project, we sought to describe critical care services and the patients who receive them in the MHS.

Methods

We surveyed 26 military treatment facilities (MTFs) representing 38 critical care services or intensive care units (ICUs). MTFs with multiple ICUs and critical care services responded to the survey as services (e.g., surgical or medical ICU service), whereas MTFs with only one ICU responded as a unit and gave information about all types of patients (i.e., medical and surgical). Our survey was divided into an administrative portion and a 24-h point prevalence survey of patients and patient care. The administrative portion is reported separately in this journal. The 24-h point prevalence survey collected information about all patients present in, admitted to, or discharged from participating services/units during the same 24-h period in December 2014. The survey was anonymous and protected health information was not collected.

Findings

Sixteen MTFs (69%) and 27 ICU services/units (71%) returned the point prevalence survey. MTFs with >200 beds (n = 3, 22%) were categorized as "high capacity centers" (HCCs) whereas those with ≤200 beds (n = 13, 78%) were characterized as low capacity centers (LCCs). Two MTFs (one HCC and one LCC) returned only administrative data. The remaining 16 MTFs reported data about 151 patients. In all, 100 (67%) of the patients were at three HCCs during this study period. One HCC accounted for 39% (59 patients) of all patient care during this study. Most patients were cared for in mixed medical/surgical ICUs (34.4%), followed by medical (21.2%), surgical (18.5%), trauma (11.9%), cardiac (7.9%), and burn (6.0%) ICUs. The most common medical indication for admission was cardiac followed by general medical. The most common surgical indications for admission were trauma, other, and cardiothoracic surgery. The average APACHE II score of all patients across both LCCs and HCCs was 11 ± 8.1 (8 ± 7.8 vs. 13 ± 7.7 p = 0.008). The lower acuity of patients in this study is reflected in a high turnover rate, low rate of arterial and central line placements (33%), and low rates of life support (all types, 30%; mechanical ventilation only, 21.2%; noninvasive mechanic ventilation only, 7.9%; and vasoactive medications, 6.6%). Thirty-five (23.2%) patients within the study were affected by a total of 57 complications. The three most common complications experienced were acute kidney injury, bleeding, and sepsis.

Discussion

This is the first detailed report about MHS critical care services and the patients receiving care. It describes a low acuity ICU patient population, concentrated at larger MTFs. This study highlights the need for the establishment of a system that allows for the continuous collection of high priority information about clinical care in the MHS in order to facilitate implementation of standardized protocols and process improvements.

Intensive Care Unit Utilization and Mortality Among Medicare Patients Hospitalized With Non-ST-Segment Elevation Myocardial Infarction

Importance

Intensive care unit (ICU) utilization may have important implications for the care and outcomes of patients with non-ST-segment elevation myocardial infarction (NSTEMI).

Objectives

To examine interhospital variation in ICU utilization in the United States for older adults with hemodynamically stable NSTEMI and outcomes associated with ICU utilization among patients with low, moderate, or high mortality risk.

Design, Setting, and Participants

This study was a retrospective analysis of 28 018 Medicare patients 65 years or older admitted with NSTEMI to 346 hospitals participating in the Acute Coronary Treatment and Intervention Outcomes Network (ACTION)-Get With the Guidelines from April 1, 2011, through December 31, 2012. Patients with cardiogenic shock or cardiac arrest on presentation were excluded. Data analysis was performed from May 7 through October 8, 2015.

Exposures

Hospitals with high (>70% of patients with NSTEMI treated in an ICU during the index hospitalization), intermediate (30%-70%), or low (<30%) ICU utilization.

Main Outcomes and Measures

Thirty-day mortality.

Results

Of 28 018 patients with NSTEMI 65 years or older (median age, 77 years [interquartile range, 71-84 years]; female, 13 055 [46.6%]; nonwhite race, 3931 [14.0%]), 11 934 (42.6%) had an ICU stay. The proportion of patients with NSTEMI treated in the ICU varied across hospitals (median, 38%; interquartile range, 26%-54%), but no significant differences were found in hospital or patient characteristics among high, intermediate, or low ICU utilization hospitals. Compared with high ICU utilization hospitals, low or intermediate ICU utilization hospitals were only marginally more selective of higher-risk patients, as determined by ACTION in-hospital mortality risk score or initial troponin level. The median ACTION risk score for patients treated in the ICU at low and intermediate ICU utilization hospitals was 34 compared with 33 for patients not treated in the ICU; at high ICU utilization hospitals, the median ACTION mortality risk score was 33 for patients treated in the ICU and 34 for patients not treated in the ICU. Thirty-day mortality rates did not significantly differ based on hospital ICU utilization (high vs low: 8.7% vs 8.7%; adjusted odds ratio, 0.91; 95% CI, 0.76-1.08; intermediate vs low: 9.6% vs 8.7%; adjusted odds ratio, 1.06; 95% CI, 0.94-1.20). The association between hospital ICU utilization and mortality did not change when considered among patients with ACTION risk scores greater than 40, 30 to 40, and less than 30 (adjusted interaction P = .86).

Conclusions and Relevance

Utilization of the ICU for older patients with NSTEMI varied significantly among hospitals. This variability was not explained by hospital characteristics or driven by patient risk. Mortality after myocardial infarction did not significantly differ among high, intermediate, or low ICU utilization hospitals.

Gastrostomy Tube Use in the Critically Ill, 1994-2014

Rationale: Although gastrostomy tubes have shown to be of limited benefit in patients with advanced dementia, they continue to be used to deliver nutritional support in critically ill patients. The epidemiology and short-term outcomes are unclear. Objectives: To quantify national practice patterns and short-term outcomes of gastrostomy tube placement among the critically ill over the last two decades in the United States. Methods: Using the U.S. Agency for Healthcare and Research Quality's Healthcare Cost and Utilization Project's National Inpatient Sample, we evaluated trends in annual population-standardized rates of gastrostomy tube placement among critically ill adults from 1994 to 2014; we also quantified trends in length of stay, in-hospital mortality, and discharge location. We conducted sensitivity analyses among mechanically ventilated patients, survivors, and decedents of critical illness, and in a critically ill population excluding patients with dementia. Results: From 1994 to 2014, population-based rates of gastrostomy tube use in critically ill patients increased from 11.9 to 28.8 gastrostomies per 100,000 U.S. adults (peak in incidence in 2010), an increase of 142% (31,392-91,990 gastrostomy tubes in critically ill patients; P < 0.001). Patients receiving gastrostomy tubes during critical illness occupied a growing proportion of all gastrostomy tube placements, accounting for 19.6% of all gastrostomy tubes placed in 1994 and 50.8% in 2014. The rate of gastrostomies in critically ill patients remained roughly stable, from 2.5% of critically ill patients in 1994 to a peak of 3.7% in 2002 before declining again to 2.4% in 2014. Hospital length of stay and in-hospital mortality decreased among gastrostomy tube recipients (28.7 d to 20.5 d, P < 0.001; 25.9-11.3%, P < 0.001; respectively), whereas discharges to long-term facilities increased significantly (49.6-70.6%; P < 0.001). Sensitivity analyses among mechanically ventilated patients revealed similar increases in population-based estimates of gastrostomy tube placement. Conclusions: The incidence of gastrostomy tube placement among critically ill patients more than doubled between 1994 and 2014, with most patients being discharged to long-term care facilities. Critically ill patients are now the primary utilizer of gastrostomy tubes placed in the United States. Additional research is needed to better characterize the long-term risk and benefits of gastrostomy tube use in critically ill patients.

Tracheostomy After Severe Acute Brain Injury: Trends and Variability in the USA

BACKGROUND/OBJECTIVE

Severe acute brain injury (SABI) is responsible for 12 million deaths annually, prolonged disability in survivors, and substantial resource utilization. Little guidance exists regarding indication or optimal timing of tracheostomy after SABI. Our aims were to determine national trends in tracheostomy utilization among mechanically ventilated patients with SABI in the USA, as well as to examine factors associated with tracheostomy utilization following SABI.

METHODS

We conducted a population-based retrospective cohort study using the National Inpatient Sample from 2002 to 2011. We identified adult patients with SABI, defined as a primary diagnosis of stroke, traumatic brain injury or post-cardiac arrest who received mechanical ventilation for greater than 96 h. We analyzed trends in tracheostomy utilization over time and used multilevel mixed-effects logistic regression to analyze factors associated with tracheostomy utilization.

RESULTS

There were 94,082 hospitalizations for SABI during the study period, with 30,455 (32%) resulting in tracheostomy utilization. The proportion of patients with SABI who received a tracheostomy increased during the study period, from 28.0% in 2002 to 32.1% in 2011 (p < 0.001). Variation in tracheostomy utilization was noted based on patient and facility characteristics, including higher odds of tracheostomy in large hospitals (OR 1.34, 95% CI 1.18-1.53, p < 0.001, compared to small hospitals), teaching hospitals (OR 1.15, 95% CI 1.06-1.25, p = 0.001, compared to non-teaching hospitals), and urban hospitals (OR 1.60, 95% CI 1.33-1.92, p < 0.001, compared to rural hospitals).

CONCLUSIONS

Tracheostomy utilization has increased in the USA among patients with SABI, with wide variation by patient and facility-level factors.

Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning

Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial intelligence for autonomous and granular monitoring in the Intensive Care Unit (ICU). As an exemplary prevalent condition, we characterized delirious patients and their environment. We used wearable sensors, light and sound sensors, and a camera to collect data on patients and their environment. We analyzed collected data to detect and recognize patient's face, their postures, facial action units and expressions, head pose variation, extremity movements, sound pressure levels, light intensity level, and visitation frequency. We found that facial expressions, functional status entailing extremity movement and postures, and environmental factors including the visitation frequency, light and sound pressure levels at night were significantly different between the delirious and non-delirious patients. Our results showed that granular and autonomous monitoring of critically ill patients and their environment is feasible using a noninvasive system, and we demonstrated its potential for characterizing critical care patients and environmental factors.

Cost of hospitalization for aneurysmal subarachnoid hemorrhage in the United States

OBJECTIVE

Recent large-scale studies describing hospitalization cost trends secondary to aneurysmal subarachnoid hemorrhage (aSAH) in the United States are lacking. We sought to discover the impact of aSAH-related factors upon its hospitalization cost.

PATIENTS AND METHODS

Patients with a primary diagnosis of aSAH were selected utilizing the National Inpatient Sample. Regression analyses were used to evaluate the impact of aSAH-related factors on hospitalization costs.

RESULTS

From 2002-2014, 22,831 cases of aSAH were identified. The inflation-adjusted mean cost of hospitalization was $82,514 (standard deviation ± $54,983). The proportion of males was lower (31%), but a higher cost of $3385 (± $685; p < .001) remained compared to females. Median length of hospitalization was 16 days (interquartile range 11-23) and each day increase in hospitalization was associated with a cost increase of $3228 (± $19; p < .001). There was no difference in cost between patients undergoing aneurysmal coiling or clipping. When compared to patients < 40 years old, the increase in cost for patients 40-59 years old was $3829 (± $914; p < .001), and $4573 (± $1033; p < .001) for patients 60-79 years old; however, for patients ≥ 80 years old, there was a decrease in cost of $8124 (± $1722; p < .001). Several central nervous system complications were also associated with increased cost.

CONCLUSION

aSAH is a significant financial burden on the United States healthcare system. We were able to identify many important factors associated with higher costs, and these results may help us understand resource utilization and develop future cost-reduction strategies.

Understanding irresponsible use of intensive care unit resources in the USA

Use of intensive care unit (ICU) resources in the USA far outpaces that of other countries. This increased use is not accompanied by superior clinical outcomes and is at times discordant with patient desires. This Series paper seeks to identify major drivers of ICU resource use in the USA, and to offer steps towards better aligning ICU resource use with clinical needs and patient preferences. After considering several factors, such as organisational, ethical, and economic factors, we suggest that there are four intersecting drivers of irresponsible use of ICU resources in the USA: first, excess ICU bed capacity and a scarcity of data to understand which patients that truly benefit from ICU compared with ward care; second, clinicians misinterpreting the goals and means of patient autonomy; third, an extreme fear of rationing by the general public; and fourth, fee-for-service driven use of advanced medical technologies and procedures that beget ICU expansion.

Incremental costs of high intensive care utilisation in patients hospitalised with heart failure

AIMS

Registries have reported large inter-hospital differences in intensive care unit admission rates for patients with acute heart failure, but little is known about the potential economic impact of over-admission of low-risk patients with heart failure to higher cost intensive care units. We described the variability in intensive care unit admission practices, the provision of critical care therapies, and estimated the potential national cost savings if all hospitals adopted low intensive care unit admission practices for patients admitted with heart failure.

METHODS

Using a national population health dataset, we identified 349,693 heart failure admission hospitalisations with a primary diagnosis of heart failure between 2007 and 2016. Hospitals were categorised as low (first quartile), medium (second and third quartile) and high (fourth quartiles) intensive care unit utilisation.

RESULTS

The mean intensive care unit admission rate was 16.4% (inter-hospital range 0.3-51%) including 5.4% in low, 14.5% in medium and 30% in high utilisation hospitals. Intensive care unit therapies in low, medium and high intensive care unit utilisation hospitals were 54.5%, 45.1% and 24.1% (P<0.001), respectively and the inhospital mortality rate was not significantly different. The proportion of hospital costs incurred by intensive care unit care was 7.8% in low, 19.8% in medium and 28.2% in high (P<0.001) admission hospitals. The potential cost savings of altering intensive care unit utilisation practices for patients with heart failure was CAN$234.8m over the study period.

CONCLUSIONS

In a national cohort of patients hospitalised with heart failure, we observed that low intensive care unit utilisation centres had lower hospital costs with no differences in mortality rates. The development of standardised admission criteria for high-cost and high acuity intensive care unit beds could reduce costs to the healthcare system.

Differences in prevalence of ICU protocols between neurologic and non-neurologic patient populations

PURPOSE

To compare the differences in the presence of protocols aimed at addressing complications for neurologically injured patients vs. non-neurologic injured patients in a large sample of ICUs across the United States.

MATERIALS AND METHODS

Prospective observational multi-center cohort study. This was a subgroup analysis of the multi-centered prospective observational cohort study of medical, surgical, and mixed intensive care units from across the country. USCIITG-CIOS study group.

RESULTS

Sixty-nine ICUs participated in the study of which 25 (36%) were medical, 24 were surgical (35%) and 20 (29%) were of mixed type, and 64 (93%) were in teaching hospitals. There were 6179 patients across all sites with 1266 (20.4%) with central nervous system diagnoses. Protocol utilization in central nervous system vs. non- central nervous system patients was as follows: Sedation interruption 973/1266 (76.9%) vs. 3840/4913 (78.2%) (p = .32); acute lung injury ventilation 847/1266 (66.9%) vs. 4069/4913 (82.8%) (p < .0001); ventilator associated pneumonia 1193/1266 (94.2%) vs. 4760/4913 (96.9%) (p < .0001); ventilator weaning 1193/1266 (94.2%) vs. 4490/4913 (91.4%) (p = .0009); and early mobility 378/1266 (29.9%) vs. 1736/4913 (35.3%) (p = .0002).

CONCLUSION

In this cohort, we found differences in the prevalence of respiratory illness prevention protocols between critically ill patients with neurologic illness and the general critically ill population.

Ascending the Learning Curve of Robotic Abdominal Wall Reconstruction

Background:

Robotic complex abdominal wall reconstruction (r-AWR) using transversus abdominis release (TAR) is associated with decreased wound complications, morbidity, and length of stay compared with open repair. This report describes a single-institution experience of r-AWR.

Methods:

A retrospective chart review was performed on patients who underwent r-AWR by a single surgeon (D.H.) from August 2015 through October 2018.

Results:

Fifty-five patients underwent r-AWR (16 males [29%] and 39 females [71%]) with a mean age of 60.2 (range 33 to 87) years and a mean body mass index of 34.6 (range 23 to 54) kg/m². Forty-one patients presented with an initial ventral hernia (74.5%) and 14 with a recurrent hernia (25.5%). Five patients had a grade 1 hernia (9.1%), 46 had a grade 2 hernia (83.6%), and 4 had a grade 3 hernia (7.3%) according to the Ventral Hernia Working Group system. Thirty-four (62%) patients underwent TAR, 21 (38%) patients underwent bilateral retrorectus release, and 10 (18.2%) patients underwent concomitant inguinal hernia repair. Mean operative time with TAR was 294 (range 106 to 472) minutes and 183 (range 126 to 254) minutes without TAR. Mean length of stay was 1.5 (range 0 to 10) days. Mean follow-up was 10.7 (range 1 to 52) weeks with no hernia recurrences. Seromas occurred in 6 (10.9%) patients, with 2 (3.6%) requiring drainage. Two (3.6%) 30-day readmissions occurred with no conversions to open or 30-day mortalities.

Conclusions:

r-AWR with and without TAR is a safe and feasible procedure associated with a short LOS, low complication rate, and low recurrence even within the surgeon's learning curve experience.

Physician training in critical care in the United States: Update 2018

Critical care fellowship training in the United States differs based on specific specialty and includes medicine, surgery, anesthesiology, pediatrics, emergency medicine, and neurocritical care training pathways. We provide an update regarding the number and growth of US critical care fellowship training programs, on-duty residents and certified diplomates, and review the different critical care physician training pathways available to residents interested in pursuing a fellowship in critical care. Data were obtained from the Accreditation Council for Graduate Medical Education and specialty boards (American Board of Internal Medicine, American Board of Surgery, American Board of Anesthesiology, American Board of Pediatrics American Board of Emergency Medicine) and the United Council for Neurologic Subspecialties for the last 16 years (2001-2017). The number of critical care fellowship training programs has increased 22.6%, with a 49.4% increase in the number of on-duty residents annually, over the last 16 years. This is in contrast to the period of 1995 to 2000 when the number of physicians enrolled in critical care fellowship programs had decreased or remained unchanged. Although more than 80% of intensivists in the US train in internal medicine critical care Accreditation Council for Graduate Medical Education-approved fellowships, there has been a significant increase in the number of residents from surgery, anesthesiology, pediatrics, emergency medicine, and other specialties who complete specialty fellowship training and certification in critical care. Matriculation in neurocritical care fellowships is rapidly rising with 60 programs and over 1,200 neurocritical care diplomates. Critical care is now an increasingly popular fellowship in all specialties. This rapid growth of all critical care specialties highlights the magnitude of the heterogeneity that will exist between intensivists in the future.

Scoping Review of Interventions Associated with Cost Avoidance Able to Be Performed in the Intensive Care Unit and Emergency Department

A framework for evaluating pharmacists' impact on cost avoidance in the intensive care unit (ICU) and emergency department (ED) has not been established. This scoping review was registered (CRD42018091217) and conducted to identify, aggregate, and qualitatively describe the highest quality evidence for cost avoidance generated by clinical pharmacists on interventions performed in an ICU or ED. Searches were conducted in PubMed, Scopus, CINAHL, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews from inception until April 2018. The level of evidence (LOE) for each specific category of intervention was evaluated according to the Grading of Recommendations, Assessment, Development and Evaluation evidence-to-decision framework. The risks of bias for articles were evaluated using Newcastle Ottawa and Cochrane Collaboration tools. The values from all interventions were inflated to 2018 U.S. dollars using the consumer price index for medical care. Of the 464 articles initially identified, 371 were excluded and 93 were included. After reviewing references from the articles included, an additional 71 articles were also reviewed. The 38 cost intervention categories were supported by varying LOEs: IA (0 categories), IB (1 category), IIA (4 categories), IIB (0 categories), III (27 categories), and IV (6 categories), and articles mostly displayed low to moderate risks of bias. Pharmacists generate cost avoidance through a variety of interventions in critically and emergently ill patients. The quality of evidence supporting specific cost avoidance values is generally low. Quantification of and factors associated with the cost avoidance generated from pharmacists caring for these patients are of paramount importance.

Pediatric Minor Traumatic Brain Injury With Intracranial Hemorrhage: Identifying Low-Risk Patients Who May Not Benefit From ICU Admission

BACKGROUND

Pediatric patients with any severity of traumatic intracranial hemorrhage (tICH) are often admitted to intensive care units (ICUs) for early detection of secondary injury. We hypothesize that there is a subset of these patients with mild injury and tICH for whom ICU care is unnecessary.

OBJECTIVES

To quantify tICH frequency and describe disposition and to identify patients at low risk of inpatient critical care intervention (CCI).

METHODS

We retrospectively reviewed patients aged 0 to 17 years with tICH at a single level I trauma center from 2008 to 2013. The CCI included mechanical ventilation, invasive monitoring, blood product transfusion, hyperosmolar therapy, and neurosurgery. Binary recursive partitioning analysis led to a clinical decision instrument classifying patients as low risk for CCI.

RESULTS

Of 296 tICH admissions without prior CCI in the field or emergency department, 29 had an inpatient CCI. The decision instrument classified patients as low risk for CCI when patients had absence of the following: midline shift, depressed skull fracture, unwitnessed/unknown mechanism, and other nonextremity injuries. This clinical decision instrument produced a high likelihood of excluding patients with CCI (sensitivity, 96.6%; 95% confidence interval, 82.2%-99.9%) from the low-risk group, with a negative likelihood ratio of 0.056 (95% confidence interval, -0.053-0.166). The decision instrument misclassified 1 patient with CCI into the low-risk group, but would have impacted disposition of 164 pediatric ICU admissions through 5 years (55% of the sample).

CONCLUSIONS

A subset of low-risk patients may not require ICU admission. The proposed decision rule identified low-risk children with tICH who may be observable outside an ICU, although this rule requires external validation before implementation.

The effect of the first-year residents orientation period on intensive care and hospital mortality, in a medical intensive care unit, within a developing country

PURPOSE

To determine whether the adaptation of junior residents, during their first week rotation period within the ICU, has any effect on ICU and hospital mortality rates, in a developing country.

MATERIALS AND METHODS

Patients who were admitted to the ICU were included, with 1207 out of 1547 of the admitted patients being eligible. The effect of age, gender, co-morbidities, the cause of the ICU admission, the presence of hospital-acquired infections, residents rotation week, admission time (weekday vs. weekend), number of patients admitted on the same day (one vs. two or more) and APACHE II score upon the ICU and hospital mortality rates were evaluated.

RESULTS

The first rotation week of junior residents is an independent risk factor determining hospital mortality (OR (95% CI) = 2.42 (1.23-4.76); p = .010). The effect of the first rotation week on intensive care mortality was not statistically significant (1.92 (0.97-3.84); p = .063). In addition, the presence of malignancy, sepsis-septic shock, hospital-acquired infection and high APACHE II score were found to be other independent determinants of increased hospital mortality.

CONCLUSION

The junior residents first rotation week is an independent risk factor on hospital mortality, in a tertiary medical intensive care unit, within a developing country.

An attention based deep learning model of clinical events in the intensive care unit

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an attention mechanism to predict daily sepsis, myocardial infarction (MI), and vancomycin antibiotic administration over two week patient ICU courses in the MIMIC-III dataset. These models achieved next-day predictive AUC of 0.876 for sepsis, 0.823 for MI, and 0.833 for vancomycin administration. Attention maps built from these models highlighted those times when input variables most influenced predictions and could provide a degree of interpretability to clinicians. These models appeared to attend to variables that were proxies for clinician decision-making, demonstrating a challenge of using flexible deep learning approaches trained with EHR data to build clinical decision support. While continued development and refinement is needed, we believe that such models could one day prove useful in reducing information overload for ICU physicians by providing needed clinical decision support for a variety of clinically important tasks.

Intensive Care Unit Admission Patterns for Mild Traumatic Brain Injury in the USA

BACKGROUND

Patients with mild traumatic brain injury (TBI) are frequently admitted to an intensive care unit (ICU), but routine ICU use may be unnecessary. It is not clear to what extent this practice varies between hospitals.

METHODS

We conducted a retrospective cohort study using the National Trauma Data Bank. Patients with at least one TBI ICD-9-CM diagnosis code, a head abbreviated injury score (AIS) ≤ 4, and Glasgow coma scale (GCS) ≥ 13 were included; individuals with only a concussion and those with a non-head AIS > 2 were excluded. Primary outcomes were ICU admission and "overtriage" to the ICU, defined by: ICU stay ≤ 1 day; hospital stay ≤ 2 days; no intubation; no neurosurgery; and discharged to home. Mixed effects multivariable models were used to identify patient and facility characteristics associated with these outcomes.

RESULTS

A total of 595,171 patients were included, 44.7% of whom were admitted to an ICU; 17.3% of these met the criteria for overtriage. Compared with adults, children < 2 years were more likely to be admitted to an ICU (RR 1.21, 95% CI 1.16-1.26) and to be overtriaged (RR 2.06, 95% CI 1.88-2.25). Similarly, patients with isolated subarachnoid hemorrhage were at greater risk of both ICU admission (RR 2.36, 95% CI 2.31-2.41) and overtriage (RR 1.22, 95% CI 1.17-1.28). The probabilities of ICU admission and overtriage varied as much as 16- and 11-fold across hospitals, respectively; median risk ratios were 1.67 and 1.53, respectively. The likelihood of these outcomes did not vary substantially with the characteristics of the treating facility.

CONCLUSIONS

There is considerable variability in ICU admission practices for mild TBI across the USA, and some of these patients may not require ICU-level care. Refined ICU use in mild TBI may allow for reduced resource utilization without jeopardizing patient outcomes.

More than one in three proxies do not know their loved one's current code status: An observational study in a Maryland ICU

Rationale

The majority of ICU patients lack decision-making capacity at some point during their ICU stay. However the extent to which proxy decision-makers are engaged in decisions about their patient’s care is challenging to quantify.

Objectives

To assess 1)whether proxies know their patient’s actual code status as recorded in the electronic medical record (EMR), and 2)whether code status orders reflect ICU patient preferences as reported by proxy decision-makers.

Methods

We enrolled proxy decision-makers for 96 days starting January 4, 2016. Proxies were asked about the patient’s goals of care, preferred code status, and actual code status. Responses were compared to code status orders in the EMR at the time of interview. Characteristics of patients and proxies who correctly vs incorrectly identified actual code status were compared, as were characteristics of proxies who reported a preferred code status that did vs did not match actual code status.

Measurements and main results

Among 111 proxies, 42 (38%) were incorrect or unsure about the patient’s actual code status and those who were correct vs. incorrect or unsure were similar in age, race, and years of education (P>0.20 for all comparisons). Twenty-nine percent reported a preferred code status that did not match the patient’s code status in the EMR. Matching preferred and actual code status was not associated with a patient’s age, gender, income, admission diagnosis, or subsequent in-hospital mortality or with proxy age, gender, race, education level, or relation to the patient (P>0.20 for all comparisons).

Conclusions

More than 1 in 3 proxies is incorrect or unsure about their patient’s actual code status and more than 1 in 4 proxies reported that a preferred code status that did not match orders in the EMR. Proxy age, race, gender and education level were not associated with correctly identifying code status or code status concordance.

Evaluating intensive care unit medication charges in a teaching hospital in Jordan

Background: Intensive Care Unit (ICU) medication costs contribute to a large portion of the total ICU costs. Evaluating ICU drug expenditures is essential for optimal resource use especially in countries with limited resources. Considering the dearth of data regarding ICU medication expenses in the Middle East, we sought to evaluate ICU medication charges at a large academic hospital in Jordan. Methods: ICU drug charges were extracted from the hospital administration database at King Abdullah University Hospital for 2014-2015 fiscal years (FYs). ICU drug charges were compared to non-ICU drug charges that were incurred during the same patient admissions. ICU medications with the most significant charges were identified. The most frequent diagnoses with the highest ICU medication charges were described. Results: Average ICU medication charges per day were approximately twice that of non-ICU medication charges ($121.5 versus $55.7 in 2014 and $100.2 versus $52.2 in 2015; p < 0.001 in both FYs). Meropenem and human albumin were the most expensive ICU medications. Drug charge allocation was most expensive for sepsis, motor vehicle accidents and respiratory failure. Conclusion: Drug charges in the ICU are considerably higher than non-ICU drug charges, thus requiring more vigilant cost containment approaches. Further research is needed to evaluate the appropriateness of expensive ICU medications.

The healthcare costs of intoxicated patients who survive ICU admission are higher than non-intoxicated ICU patients: a retrospective study combining healthcare insurance data and data from a Dutch national quality registry

Background

The aim of this study was to describe the healthcare costs of intoxicated ICU patients in the year before and the year after ICU admission, and to compare their healthcare costs with non-intoxicated ICU patients and a population based control group.

Methods

We conducted a retrospective cohort study, combining a national health insurance claims database and a national quality registry database for ICUs. Claims data in the timeframe 2012 until 2014 were combined with the clinical data of patients who had been admitted to an ICU during 2013. Three study populations were compared and matched according to socioeconomic status, type of admission, age and gender: an “ICU population”, an “intoxication population” and a “control population” (who had never been on the ICU).

Results

2591 individual “intoxicated ICU patients” were compared to 2577 general “ICU patients” and 2591 patients from the “control population”. The median and interquartile ranges (IQR) healthcare costs per day alive for the “intoxicated ICU patients” were higher during the year before ICU admission (€20.3 (IQR €3.6–€76.4)) and the year after ICU admission (€23.9 (IQR €5.1–€82.4)) compared to the ICU population (€6.1 (IQR €0.9–€29.3) and €13.6 (IQR €3.3–€54.9) respectively) and a general control population (€1.1 (IQR €0.3–€4.6) and €1.1 (IQR €0.4–€4.9) respectively). The healthcare associated costs in intoxicated ICU patients were correlated with the number of chronic conditions present prior ICU admission (p < 0.0001).

Conclusions

Intoxicated patients admitted to the ICU had in the year before and after ICU admission much higher median healthcare costs per day alive compared to other ICU patients and a general population control group. Healthcare costs are greatly influenced by the number of psychiatric and other chronic conditions of these intoxicated patients.

Electronic supplementary material

The online version of this article (10.1186/s12873-019-0224-7) contains supplementary material, which is available to authorized users.

A nurse-led critical care outreach program to reduce readmission to the intensive care unit: A quasi-experimental study with a historical control group

INTRODUCTION

Various critical care outreach services have been developed and evaluated worldwide; however, the conflicting findings indicate the need to strengthen the outreach service research. This study aimed to evaluate the effects of a nurse-led critical care follow-up program on intensive care unit (ICU) readmission and hospital mortality in patients with respiratory problems discharged from the ICU in Hong Kong.

METHODS

A quasi-experimental study design, with a historical control and a prospective intervention for 13 months, was used. The intervention group received a nurse-led, multidisciplinary ICU follow-up program in addition to the usual care. The outcome measures included ICU readmission within 72 h after ICU discharge, all ICU readmission (ICU readmission irrespective of the time frame after ICU discharge), hospital mortality, and 90-day mortality rate. Logistic regression analysis was used to determine the predictors for ICU readmission within 72 h.

RESULTS

A total of 369 participants (the intervention group: 185; the control group: 184) were recruited. A significant reduction in ICU readmission within 72 h was observed in the intervention group compared to the control group (p = 0.001), even after controlling for confounders (odds ratio: 0.158, p = 0.007). The intervention group also demonstrated a significant reduction in all ICU readmission (p < 0.001) and hospital mortality (p = 0.042), but not on 90-day mortality (p = 0.081), when compared with the control group. This nurse-led ICU follow-up program was shown to be cost-effective, saving an estimated US$ 145,614 for a period of 13 months.

CONCLUSION

The findings demonstrated that a nurse-led multidisciplinary ICU follow-up program was a beneficial and cost-saving strategy to avert ICU readmission in patients with respiratory problems after ICU discharge. It also highlighted the competent role of ICU nurses in planning and leading the implementation of a multidisciplinary program. The results contributed to the database of an innovative follow-up program to inform the practice worldwide.

The Lifetime Effects of Injury: Postintensive Care Syndrome and Posttraumatic Stress Disorder

Postintensive care syndrome (PICS) is a heterogeneous syndrome marked by physical, cognitive, and mental health impairments experienced by critical care survivors. It is a syndrome that bears significant human and health care costs. Additional research is needed to identify risk factors and diagnostic, preventative, and treatment strategies for PICS. Trauma intensive care unit patients are particularly vulnerable to posttraumatic stress disorder, which shares some of the adverse long-term consequences of PICS and also requires additional research into effective preventative and management strategies.

Planning and understanding the intensive care network in the State of Rio de Janeiro (RJ), Brazil: a complex societal problem

Objectives

To determine the optimal number of adult intensive care unit beds to reduce patient's queue waiting time and to propose policy strategies.

Methods

Multimethodological approach: (a) quantitative time series and queueing theory were used to predict the demand and estimate intensive care unit beds in different scenarios; (b) qualitative focus group and content analysis were used to explore physicians' attitudes and provide insights into their behaviors and belief-driven healthcare delivery changes.

Results

A total of 33,101 requests for 268 regulated intensive care unit beds in one year resulted in 25% admissions, 55% queue abandonment and 20% deaths. Maintaining current intensive care unit arrival and exit rates, there would need 628 beds to ensure a maximum wait time of six hours. A reduction of the current abandonment rates due to clinical improvement or the average intensive care unit length of stay would decrease the number of beds to 471 and 366, respectively. If both were reduced, the number would reach 275 beds. The interviews generated 3 main themes: (1) the doctor's conflict: fair, legal, ethical and shared priorities in the decision-making process; (2) a failure of access: invisible queues and a lack of infrastructure; and (3) societal drama: deterioration of public policies and health care networks.

Conclusion

The queue should be treated as a complex societal problem with a multifactorial origin requiring integrated solutions. Improving intensive care unit protocols and reengineering the general wards may decrease the length of stay. It is essential to redefine and consolidate the regulatory centers to organize the queue and provide available resources in a timely manner, by using priority criteria, working with stakeholders to guarantee clinical governance and network organization.