Critical Care Beds and Resource Utilization: Current Trends and Controversies

A risk nomogram for predicting prolonged intensive care unit stays in patients with chronic obstructive pulmonary disease

Background

Providing intensive care is increasingly expensive, and the aim of this study was to construct a risk column line graph (nomograms)for prolonged length of stay (LOS) in the intensive care unit (ICU) for patients with chronic obstructive pulmonary disease (COPD).

Methods

This study included 4,940 patients, and the data set was randomly divided into training (n = 3,458) and validation (n = 1,482) sets at a 7:3 ratio. First, least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection by running a tenfold k-cyclic coordinate descent. Second, a prediction model was constructed using multifactorial logistic regression analysis. Third, the model was validated using receiver operating characteristic (ROC) curves, Hosmer-Lemeshow tests, calibration plots, and decision-curve analysis (DCA), and was further internally validated.

Results

This study selected 11 predictors: sepsis, renal replacement therapy, cerebrovascular disease, respiratory failure, ventilator associated pneumonia, norepinephrine, bronchodilators, invasive mechanical ventilation, electrolytes disorders, Glasgow Coma Scale score and body temperature. The models constructed using these 11 predictors indicated good predictive power, with the areas under the ROC curves being 0.826 (95%CI, 0.809-0.842) and 0.827 (95%CI, 0.802-0.853) in the training and validation sets, respectively. The Hosmer-Lemeshow test indicated a strong agreement between the predicted and observed probabilities in the training (χ² = 8.21, p = 0.413) and validation (χ² = 0.64, p = 0.999) sets. In addition, decision-curve analysis suggested that the model had good clinical validity.

Conclusion

This study has constructed and validated original and dynamic nomograms for prolonged ICU stay in patients with COPD using 11 easily collected parameters. These nomograms can provide useful guidance to medical and nursing practitioners in ICUs and help reduce the disease and economic burdens on patients.

Comparative costs for critically ill patients with limited English proficiency versus English proficiency

OBJECTIVES

To conduct comparative cost analysis of hospital care for critically ill patients with Limited English Proficiency (LEP) versus patients with English proficiency (controls).

PATIENTS AND METHODS

We conducted a historical cohort study using propensity matching at Mayo Clinic Rochester, a quaternary care academic center. We included hospitalized patients who had at least one admission to ICU during a 10-year period between 1/1/2008-12/31/2017.

RESULTS

Due to substantial differences in baseline characteristics of the groups, propensity matching for the covariates age, sex, race, ethnicity, APACHE 3 score, and Charlson Comorbidity score was used, and we achieved the intended balance. The final cohort included 80,404 patients, 4,246 with LEP and 76,158 controls. Patients with LEP had higher costs during hospital admission to discharge, with a mean cost difference of $3861 (95% CI $822 to $6900, p = 0.013) and also higher costs during index ICU admission to hospital discharge, with a mean cost difference of $3166 (95% CI $231 to $6101, p = 0.035). A propensity matched cohort including only those that survived showed those with LEP had significantly greater mean costs for all outcomes. Sensitivity analysis revealed that international patients with LEP had significantly greater overall hospital costs of $9,240 than patients with LEP who resided in the US (95% CI $3341 to $15,140, p = 0.002).

CONCLUSION

This is the first study to demonstrate significantly higher costs for patients with LEP experiencing a critical illness. The causes for this may be increased healthcare utilization secondary to communication deficiencies that impede timely decision making about care.

A nomogram to predict prolonged stay of obesity patients with sepsis in ICU: Relevancy for predictive, personalized, preventive, and participatory healthcare strategies

Objective

In an era of increasingly expensive intensive care costs, it is essential to evaluate early whether the length of stay (LOS) in the intensive care unit (ICU) of obesity patients with sepsis will be prolonged. On the one hand, it can reduce costs; on the other hand, it can reduce nosocomial infection. Therefore, this study aimed to verify whether ICU prolonged LOS was significantly associated with poor prognosis poor in obesity patients with sepsis and develop a simple prediction model to personalize the risk of ICU prolonged LOS for obesity patients with sepsis.

Method

In total, 14,483 patients from the eICU Collaborative Research Database were randomized to the training set (3,606 patients) and validation set (1,600 patients). The potential predictors of ICU prolonged LOS among various factors were identified using logistic regression analysis. For internal and external validation, a nomogram was developed and performed.

Results

ICU prolonged LOS was defined as the third quartile of ICU LOS or more for all sepsis patients and demonstrated to be significantly associated with the mortality in ICU by logistic regression analysis. When entering the ICU, seven independent risk factors were identified: maximum white blood cell, minimum white blood cell, use of ventilation, Glasgow Coma Scale, minimum albumin, maximum respiratory rate, and minimum red blood cell distribution width. In the internal validation set, the area under the curve was 0.73, while in the external validation set, it was 0.78. The calibration curves showed that this model predicted probability due to actually observed probability. Furthermore, the decision curve analysis and clinical impact curve showed that the nomogram had a high clinical net benefit.

Conclusion

In obesity patients with sepsis, we created a novel nomogram to predict the risk of ICU prolonged LOS. This prediction model is accurate and reliable, and it can assist patients and clinicians in determining prognosis and making clinical decisions.

The level of postoperative care influences mortality prediction by the POSPOM score: A retrospective cohort analysis

BACKGROUND

The Preoperative Score to Predict Postoperative Mortality (POSPOM) assesses the patients' individual risk for postsurgical intrahospital death based on preoperative parameters. We hypothesized that mortality predicted by the POSPOM varies depending on the level of postoperative care.

METHODS

All patients age over 18 years undergoing inpatient surgery or interventions involving anesthesia at a German university hospital between January 2006, and December 2017, were assessed for eligibility for this retrospective study. Endpoint was death in hospital following surgery. Adaptation of the POSPOM to the German coding system was performed as previously described. The whole cohort was divided according to the level of postoperative care (normal ward vs. intensive care unit (ICU) admission within 24 h vs. later than 24 h, respectively).

RESULTS

199,258 patients were finally included. Observed intrahospital mortality was 2.0% (4,053 deaths). 9.6% of patients were transferred to ICU following surgery, and mortality of those patients was increased already at low POSPOM values of 15. 17,165 patients were admitted to ICU within 24 h, and these patients were older, had more comorbidities, or underwent more invasive surgery, reflected by a higher median POSPOM score compared to the normal-ward group (29 vs. 17, p <0.001). Mortality in that cohort was significantly increased to 8.7% (p <0.001). 2,043 patients were admitted to ICU later than 24 h following surgery (therefore denoted unscheduled admission), and the median POSPOM value of that group was 23. Observed mortality in this cohort was highest (13.5%, p <0.001 vs. ICU admission <24 h cohort).

CONCLUSION

Increased mortality in patients transferred to high-care wards reflects the significance of, e.g., intra- or early postoperative events for the patients' outcome. Therefore, scoring systems considering only preoperative variables such as the POSPOM reveal limitations to predict the individual benefit of postoperative ICU admission.

An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study

BACKGROUND

Little is known about the impact of socioeconomic status (SES) as a key element of social determinants of health on intensive care unit (ICU) outcomes for adults.

OBJECTIVE

We assessed whether a validated individual SES index termed HOUSES (HOUsing-based SocioEconomic status index) derived from housing features was associated with short-term outcomes of critical illness including ICU mortality, ICU-free days, hospital-free days, and ICU readmission.

METHODS

We performed a population-based cohort study of adult patients living in Olmsted County, Minnesota, admitted to 7 intensive care units at Mayo Clinic from 2011 to 2014. We compared outcomes between the lowest SES group (HOUSES quartile 1 [Q1]) and the higher SES group (HOUSES Q2-4). We stratified the cohort based on age (<50 years old and ≥50 years old).

RESULTS

Among 4134 eligible patients, 3378 (82%) patients had SES successfully measured by the HOUSES index. Baseline characteristics, severity of illness, and reason for ICU admission were similar among the different SES groups as measured by HOUSES except for larger number of intoxications and overdoses in younger patients from the lowest SES. In all adult patients, there were no overall differences in mortality, ICU-free days, hospital-free days, or ICU readmissions in patients with higher SES compared to lower SES. Among older patients (>50 years), those with higher SES (HOUSES Q2-4) compared to those with lower SES (HOUSES Q1) had lower mortality rates (hazard ratio = 0.72; 95% CI: 0.56-0.93; adjusted P = .01), increased ICU-free days (mean 1.08 days; 95% CI: 0.34-1.84; adjusted P = .004), and increased hospital-free days (mean 1.20 days; 95% CI: 0.45-1.96; adjusted P = .002). There were no differences in ICU readmission rates (OR = 0.74; 95% CI: 0.55-1.00; P = .051).

CONCLUSION

Individual-level SES may be an important determinant or predictor of critical care outcomes in older adults. Housing-based socioeconomic status may be a useful tool for enhancing critical care research and practice.

Epidemiological trends of surgical admissions to the intensive care unit in the United States

BACKGROUND

Epidemiologic assessment of surgical admissions into intensive care units (ICUs) provides a framework to evaluate health care system efficiency and project future health care needs.

METHODS

We performed a 9-year (2008-2016), retrospective, cohort analysis of all adult admissions to 88 surgical ICUs using the prospectively and manually abstracted Cerner Acute Physiology and Chronic Health Evaluation Outcomes database. We stratified patients into 13 surgical cohorts and modeled temporal trends in admission, mortality, surgical ICU length of stay (LOS), and change in functional status (FS) using generalized mixed-effects and Quasi-Poisson models to obtain risk-adjusted outcomes.

RESULTS

We evaluated 78,053 ICU admissions and observed a significant decrease in admissions after transplant and thoracic surgery, with a concomitant increase in admissions after otolaryngological and facial reconstructive procedures (all p < 0.05). While overall risk-adjusted mortality remained stable over the study period; mortality significantly declined in orthopedic, cardiac, urologic, and neurosurgical patients (all p < 0.05). Cardiac, urologic, gastrointestinal, neurosurgical, and orthopedic admissions showed significant reductions in LOS (all p < 0.05). The overall rate of FS deterioration increased per year, suggesting ICU-related disability increased over the study period.

CONCLUSION

Temporal analysis demonstrates a significant change in the type of surgical patients admitted to the ICU over the last decade, with decreasing mortality and LOS in selected cohorts, but an increasing rate of FS deterioration. Improvement in ICU outcomes may highlight the success of health care advancements within certain surgical cohorts, while simultaneously identifying cohorts that may benefit from future intervention. Our findings have significant implications in health care systems planning, including resource and personnel allocation, education, and surgical training.

LEVEL OF EVIDENCE

Economic/decision, level IV.Epidemiologic, level IV.

Dementia and the Critically Ill Older Adult

Dementia is a terminal illness that leads to progressive cognitive and functional decline. As the elderly population grows, the incidence of dementia in hospitalized older adults increases and is associated with poor short-term and long-term outcomes. Delirium is associated with an accelerated cognitive decline in hospitalized patients with dementia. The first step in the management of dementia is accurate and early diagnosis. Evidence-based management guidelines in the setting of critical illness and dementia are lacking. The cornerstone of management is defining goals of care early in the course of hospitalization and using palliative care and hospice when deemed appropriate.

Nurse Practitioners and Physician Assistants in Acute and Critical Care: A Concise Review of the Literature and Data 2008-2018

OBJECTIVES

To provide a concise review of the literature and data pertaining to the use of nurse practitioners and physician assistants, collectively called advanced practice providers, in ICU and acute care settings.

DATA SOURCES

Detailed search strategy using the databases PubMed, Ovid MEDLINE, and the Cumulative Index of Nursing and Allied Health Literature for the time period from January 2008 to December 2018.

STUDY SELECTION

Studies addressing nurse practitioner, physician assistant, or advanced practice provider care in the ICU or acute care setting.

DATA EXTRACTION

Relevant studies were reviewed, and the following aspects of each study were identified, abstracted, and analyzed: study population, study design, study aims, methods, results, and relevant implications for critical care practice.

DATA SYNTHESIS

Five systematic reviews, four literature reviews, and 44 individual studies were identified, reviewed, and critiqued. Of the research studies, the majority were retrospective with others being observational, quasi-experimental, or quality improvement, along with two randomized control trials. Overall, the studies assessed a variety of effects of advanced practice provider care, including on length of stay, mortality, and quality-related metrics, with a majority demonstrating similar or improved patient care outcomes.

CONCLUSIONS

Over the past 10 years, the number of studies assessing the impact of advanced practice providers in acute and critical care settings continue to increase. Collectively, these studies identify the value of advanced practice providers in patient care management, continuity of care, improved quality and safety metrics, patient and staff satisfaction, and on new areas of focus including enhanced educational experience of residents and fellows.

Taurine administration ablates sepsis induced diaphragm weakness

Infection induced diaphragm weakness is a major contributor to death and prolonged mechanical ventilation in critically ill patients. Infection induced muscle dysfunction is associated with activation of muscle proteolytic enzymes, and taurine is known to suppress proteolysis. We therefore postulated that taurine administration may prevent infection induced diaphragm dysfunction. The purpose of this study was to test this hypothesis using a clinically relevant animal model of infection, i.e. cecal ligation puncture induced sepsis (CLP). Studies were performed on (n = 5-7 mice/group): (a) sham operated controls, (b) animals with sepsis induced by CLP, (c) sham operated animals given taurine (75 mg/kg/d, intraperitoneally), and (d) CLP animals given taurine. At intervals after surgery animals were euthanized, diaphragm force generation measured in vitro, and diaphragm calpain, caspase and proteasomal activity determined. CLP elicited a large reduction in diaphragm specific force generation at 24 h (1-150 Hz, p < 0.001) and taurine significantly attenuated CLP induced diaphragm weakness at all stimulation frequencies (p < 0.001). CLP induced significant increases in diaphragm calpain, caspase and proteasomal activity; taurine administration prevented increases in the activity of all three pathways. In additional time course experiments, diaphragm force generation remained at control levels over 72 h in CLP animals treated with daily taurine administration, while CLP animals demonstrated severe, sustained reductions in diaphragm strength (p < 0.01 for all time points). Our results indicate that taurine administration prevents infection induced diaphragm weakness and reduces activation of three major proteolytic pathways. Because this agent is has been shown to be safe, non-toxic when administered to humans, taurine may have a role in treating infection induced diaphragm weakness. Future clinical studies will be needed to assess this possibility.

Reducing unnecessary delays during the transfer of patients from the paediatric intensive care unit to the general ward: a quality improvement project

Introduction

Delaying the discharge of paediatric intensive care unit (PICU) patients is directly proportional to increased occupancy rate and cost. We aimed to study the process of transferring patients from the PICU to the general ward in order to improve the timeliness of this process while guaranteeing patient safety.

Methods

A multidisciplinary quality improvement (QI) team was formed to analyse the transfer process. Several Plan Do Study Act cycles were tested, targeting all steps of the transfer process, and applying turnaround time (TAT)-the duration from the time of clinical transfer decision until the physical transfer of the patient-as an outcome measure, aiming for a TAT of 4 hours.

Results

Baseline results showed that medical transfer decisions by PICU attending physicians were taken late for most patients: only 19% of decisions were made by 08:00 by the on-call team. Average TAT of the transfer process was over 7 hours, with duration ranging from 7 to 17 hours. After implementing all suggested improvement interventions, early decision compliance improved to 59%. TAT improved gradually, starting in January 2017, until it approached our target (284-261 min≈4 hours) in February-May 2017.

Conclusion

PICU patient transfer process delays can be reduced by early evaluation, timely team communication and proper preparation. It is recommended that all personnel with early involvement avoid unnecessary delays by paying more attention to all process steps, starting with the clinical decision, until the physical transfer. Standardising transfer processes might lead to a decrease in the length of PICU stay, which is a desirable outcome, but this observation needs further exploration.

Utilisation of critical care services for surgical patients in a model three hospital

BACKGROUND

The demand for intensive care unit (ICU) beds in the surgical population has increased in recent years. This is due to increased complexity of operative interventions, development of critical care services and improved availability of technologies. The number of beds in ICUs nationwide remains limited. In model three hospitals, this is further impacted by a lack of high dependency unit (HDU) facilities and difficulty with transfer of patients to tertiary centres.

AIM

To assess utilisation of ICU resources amongst general surgical patients admitted for elective and emergency procedures to Mayo University Hospital.

METHODS

A prospective study was conducted between 31/10/2016 and 01/11/2017 on general surgical patients admitted to the intensive care unit. The ICU register and ICU database were used to collect data regarding patient demographics, admission by specialty, ICU length of stay, interventions performed, level of care, infection status and antimicrobial usage.

RESULTS

Eight hundred seventy-three patients were admitted to the ICU. One hundred thirty-four (15.35%) were surgical admissions, of which 55 were elective and 79 were emergency. The most common cause for emergency admission to ICU was emergency laparotomy. Mean ICU length of stay (LOS) for surgical patients was 3.6 days. Three (2.2%) surgical patients were transferred to model four hospitals.

CONCLUSIONS

This study demonstrates the need to protect sufficient numbers of ICU beds for delivery of emergency surgical care. It highlights the potential utility of an HDU in this setting. The introduction of such a facility would impact cost savings and increase access for those requiring definitive ICU level care.

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

Background:

Delayed transfer of patients from the emergency department to the intensive care unit is associated with adverse clinical outcomes. Critically ill patients with delayed admission to the intensive care unit had higher in-hospital mortality and increased hospital length of stay.

Objectives:

We investigated the effects of an intensive care unit admission protocol controlled by intensivists on the emergency department length of stay among critically ill patients.

Methods:

We designed the intensive care unit admission protocol to reduce the emergency department length of stay in critically ill patients. Full-time intensivists determined intensive care unit admission priorities based on the severity of illness. Data were gathered from patients who were admitted from the emergency department to the intensive care unit between 1 April 2016 and 30 November 2016. We retrospectively analyzed the clinical data and compared the emergency department length of stay between patients admitted from the emergency department to the intensive care unit before and after intervention.

Results:

We included 292 patients, 120 and 172 were admitted before and after application of the intensive care unit admission protocol, respectively. The demographic characteristics did not differ significantly between the groups. After intervention, the overall emergency department length of stay decreased significantly from 1045.5 (425.3–1665.3) min to 392.0 (279.3–686.8) min (p < 0.001). Intensive care unit length of stay also significantly decreased from 6.0 (4.0–11.8) days to 5.0 (3.0–10.0) days (p = 0.015).

Conclusion:

Our findings suggest that introduction of the intensive care unit admission protocol controlled by intensivists successfully decreased the emergency department length of stay and intensive care unit length of stay among critically ill patients at our institution.

Monitoring intensive care unit performance-impact of a novel individualised performance scorecard in critical care medicine: a mixed-methods study protocol

INTRODUCTION

Patients admitted to a critical care medicine (CCM) environment, including an intensive care unit (ICU), are susceptible to harm and significant resource utilisation. Therefore, a strategy to optimise provider performance is required. Performance scorecards are used by institutions for the purposes of driving quality improvement. There is no widely accepted or standardised scorecard that has been used for overall CCM performance. We aim to improve quality of care, patient safety and patient/family experience in CCM practice through the utilisation of a standardised, repeatable and multidimensional performance scorecard, designed to provide a continuous review of ICU physician and nurse practice, as well as departmental metrics.

METHODS AND ANALYSIS

This will be a mixed-methods, controlled before and after study to assess the impact of a CCM-specific quality scorecard. Scorecard metrics were developed through expert consensus and existing literature. The study will include 19 attending CCM physicians and approximately 300 CCM nurses. Patient data for scorecard compilation are collected daily from bedside flow sheets. Preintervention baseline data will be collected for 6 months for each participant. After this, each participant will receive their scorecard measures. Following a 3-month washout period, postintervention data will be collected for 6 months. The primary outcome will be change in performance metrics following the provision of scorecard feedback to subjects. A cost analysis will also be performed, with the purpose of comparing total ICU costs prior to implementation of the scorecard with total ICU costs following implementation of the scorecard. The qualitative portion will include interviews with participants following the intervention phase. Interviews will be analysed in order to identify recurrent themes and subthemes, for the purposes of driving scorecard improvement.

ETHICS AND DISSEMINATION

This protocol has been approved by the local research ethics board. Publication of results is anticipated in 2019. If this intervention is found to improve patient- and unit-directed outcomes, with evidence of cost-effectiveness, it would support the utilisation of such a scorecard as a quality standard in CCM.

Association of Increasing Use of Mechanical Ventilation Among Nursing Home Residents With Advanced Dementia and Intensive Care Unit Beds

IMPORTANCE

Mechanical ventilation may be lifesaving, but in certain persons, such as those with advanced dementia, it may prolong patient suffering without a clear survival benefit.

OBJECTIVE

To describe the use and outcomes of mechanical ventilation and its association with the increasing numbers of intensive care unit (ICU) beds in the United States for patients with advanced dementia residing in a nursing home 120 days before that hospital admission.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study evaluated Medicare beneficiaries with advanced dementia hospitalized from January 1, 2000, to December 31, 2013, using the Minimum Data Set assessments linked with Medicare part A claims. A hospital fixed-effect, multivariable logistic regression model examined the effect of changes in ICU beds within individual hospitals and the likelihood of receiving mechanical ventilation, controlling for patients' demographic characteristics, function, and comorbidities.

MAIN OUTCOMES AND MEASURES

Mechanical ventilation.

RESULTS

From 2000 to 2013, a total of 635 008 hospitalizations of 380 060 eligible patients occurred (30.5% male and 69.5% female; mean [SD] age, 84.4 [7.4] years). Use of mechanical ventilation increased from 39 per 1000 hospitalizations in 2000 to 78 per 1000 hospitalizations in 2013 (P < .001, test of linear trend). As the number of ICU beds in a hospital increased over time, patients with advanced dementia were more likely to receive mechanical ventilation (ie, adjusted odds ratio per 10 ICU bed increase, 1.06; 95% CI, 1.05-1.07). In 2013, hospitals in the top decile in the number of ICU beds were reimbursed $9611.89 per hospitalization compared with $8050.24 per hospitalization in the lower decile (P < .001) without an improvement in 1-year mortality (65.2% vs 64.6%; P = 54).

CONCLUSIONS AND RELEVANCE

Among hospitalized nursing home residents with advanced dementia, we found an increase in the use of mechanical ventilation over time without substantial improvement in survival. This increase in the use of mechanical ventilation was associated with an increase in the number of ICU beds within a hospital.