Economics and outcome in the intensive care unit. Curr Opin Anaesthesiol. 2009;22:232-236. [PMID: 19390250 DOI: 10.1097/aco.0b013e328323f9a8]

Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools

BACKGROUND

Continuous waveform monitoring is standard-of-care for patients at risk for or with critically illness. Derived from waveforms, heart rate, respiratory rate and blood pressure variability contain useful diagnostic and prognostic information; and when combined with machine learning, can provide predictive indices relating to severity of illness and/or reduced physiologic reserve. Integration of predictive models into clinical decision support software (CDSS) tools represents a potential evolution of monitoring.

METHODS

We perform a review and analysis of the multidisciplinary steps required to develop and rigorously evaluate predictive clinical decision support tools based on monitoring.

RESULTS

Development and evaluation of waveform-based variability-derived predictive models involves a multistep, multidisciplinary approach. The stepwise processes involves data science (data collection, waveform processing, variability analysis, statistical analysis, machine learning, predictive modelling), CDSS development (iterative research prototype evolution to commercial tool), and clinical research (observational and interventional implementation studies, followed by feasibility then definitive randomized controlled trials), and poses unique challenges (including technical, analytical, psychological, regulatory and commercial).

CONCLUSIONS

The proposed roadmap provides guidance for the development and evaluation of novel predictive CDSS tools with potential to help transform monitoring and improve care.

Midodrine improves clinical and economic outcomes in patients with septic shock: a randomized controlled clinical trial

BACKGROUND

Prolonged use of intravenous (IV) vasopressors in patients with septic shock can lead to deleterious effects.

AIMS

This study assessed the impact of midodrine administration on weaning off IV vasopressors and its economic value.

METHODS

It is a prospective randomized controlled study of 60 resuscitated patients with septic shock who demonstrated clinical stability on low-dose IV vasopressors for at least 24 h. Participants were randomized into two groups: norepinephrine (IV norepinephrine) and midodrine (IV norepinephrine + oral midodrine 10 mg thrice a day). A cost comparison was applied based on the outcomes of both groups.

RESULTS

The median duration of norepinephrine administration in the midodrine and norepinephrine groups was 4 and 6 days, respectively (p = 0.001). Norepinephrine weaning time was significantly less in the midodrine versus norepinephrine groups (26 and 78.5 h, respectively; p < 0.001). Mortality was 43.3% versus 73.3% in the midodrine and norepinephrine groups, respectively (p = 0.018). The mean length of stay was comparable in the two groups. The midodrine group showed cost-saving results versus the norepinephrine group.

CONCLUSION

The use of midodrine in septic shock patients significantly reduced IV norepinephrine duration, weaning period during the septic shock recovery phase, and mortality. Thus, the use of midodrine is dominant with less cost, better outcome and a cost-saving option in terms of budget impact analysis. This study was registered at clinicaltrials.gov (NCT 03,911,817) on April 11, 2019.

Critical care nursing service costs: Comparison of the top-down versus bottom-up micro-costing approach in Brazil

AIM

To estimate the nursing service costs using a top-down micro-costing approach and to compare it with a bottom-up micro-costing approach.

BACKGROUND

Accurate data of nursing cost can contribute to reliable resource management.

METHOD

We employed a retrospective cohort design in an adult intensive care unit in São Paulo. A total of 286 patient records were included. Micro-costing analysis was conducted in two stages: a top-down approach, whereby nursing costs were allocated to patients through apportionment, and a bottom-up approach, considering actual nursing care hours estimated by the Nursing Activities Score (NAS).

RESULTS

The total mean cost by the top-down approach was US$1,640.4 ± 1,484.2/patient. The bottom-up approach based on a total mean NAS of 833 ± 776 points (equivalent to 200 ± 86 hr of nursing care) yielded a mean cost of US$1,487.2 ± 1,385.7/patient. In the 268 patients for whom the top-down approach estimated higher costs than the bottom-up approach, the total cost discrepancy was US$4,427.3, while for those costed higher based on NAS, the total discrepancy was US$436.9. The top-down methodology overestimated costs for patients requiring lower intensity of care, while it underestimated costs for patients requiring higher intensity of care (NAS >100).

CONCLUSIONS

The top-down approach may yield higher estimated ICU costs compared with a NAS-based bottom-up approach.

IMPLICATIONS FOR NURSING MANAGEMENT

These findings can contribute to an evidence-based approach to budgeting through reliable costing methods based on actual nursing workload, and to efficient resource allocation and cost management.

Financial impact of nursing professionals staff required in an Intensive Care Unit

Objective

to calculate the cost of the average time of nursing care spent and required by patients in the Intensive Care Unit (ICU) and the financial expense for the right dimension of staff of nursing professionals.

Method

a descriptive, quantitative research, using the case study method, developed in adult ICU patients. We used the workload index - Nursing Activities Score; the average care time spent and required and the amount of professionals required were calculated using equations and from these data, and from the salary composition of professionals and contractual monthly time values, calculated the cost of direct labor of nursing.

Results

the monthly cost of the average quantity of available professionals was US$ 35,763.12, corresponding to 29.6 professionals, and the required staff for 24 hours of care is 42.2 nurses, with a monthly cost of US$ 50,995.44.

Conclusion

the numerical gap of nursing professionals was 30% and the monthly financial expense for adaptation of the structure is US$ 15,232.32, which corresponds to an increase of 42.59% in the amounts currently paid by the institution.

N-Ethylmaleimide Sensitive Factor (NSF) Inhibition Prevents Vascular Instability following Gram-Positive Pulmonary Challenge

Background

The Acute Respiratory Distress Syndrome (ARDS), remains a significant source of morbidity and mortality in critically ill patients. Pneumonia and sepsis are leading causes of ARDS, the pathophysiology of which includes increased pulmonary microvascular permeability and hemodynamic instability resulting in organ dysfunction. We hypothesized that N-ethylmaleimide sensitive factor (NSF) regulates exocytosis of inflammatory mediators, such as Angiopoietin-2 (Ang-2), and cytoskeletal stability by modulating myosin light chain (MLC) phosphorylation. Therefore, we challenged pulmonary cells, in vivo and in vitro, with Gram Positive bacterial cell wall components, lipoteichoic acid (LTA), and peptidoglycan (PGN) and examined the effects of NSF inhibition.

Methods

Mice were pre-treated with an inhibitor of NSF, TAT-NSF700 (to prevent Ang-2 release). After 30min, LTA and PGN (or saline alone) were instilled intratracheally. Pulse oximetry was assessed in awake mice prior to, and 6 hour post instillation. Post mortem, tissues were collected for studies of inflammation and Ang-2. In vitro, pulmonary endothelial cells were assessed for their responses to LTA and PGN.

Results

Pulmonary challenge induced signs of airspace and systemic inflammation such as changes in neutrophil counts and protein concentration in bronchoalveolar lavage fluid and tissue Ang-2 concentration, and decreased physiological parameters including oxygen saturation and pulse distention. TAT-NSF700 pre-treatment reduced LTA-PGN induced changes in lung tissue Ang-2, oxygen saturation and pulse distention. In vitro, LTA-PGN induced a rapid (<2 min) release of Ang-2, which was significantly attenuated by TAT-NSF700 or anti TLR2 antibody. Furthermore, TAT-NSF700 reduced LTA-PGN-induced MLC phosphorylation at low concentrations of 1–10 nM.

Conclusions

TAT-NSF700 decreased Ang-2 release, improved oxygen saturation and pulse distention following pulmonary challenge by inhibiting MLC phosphorylation, an important component of endothelial cell retraction. The data suggest that inhibition of NSF in pneumonia and sepsis may be beneficial to prevent the pulmonary microvascular and hemodynamic instability associated with ARDS.

Intensive care performance: How should we monitor performance in the future?

Intensive care faces economic challenges. Therefore, evidence proving both effectiveness and efficiency, i.e., cost-effectiveness, of delivered care is needed. Today, the quality of care is an important issue in the health care debate. How do we measure quality of care and how accurate and representative is this measurement? In the following report, several topics which are used for the evaluation of intensive care unit (ICU) performance are discussed: (1) The use of general outcome prediction models to determine the risk of patients who are admitted to ICUs in an increasing variety of case mix for the different intensive care units, together with three major limitations; (2) As critical care outcomes research becomes a more established entity, mortality is now only one of many endpoints that are relevant. Mortality is a limited outcome when assessing critical care performance, while patient interest in quality of life outcomes is relevant; and (3) The Quality Indicators Committee of the Society of Critical Care Medicine recommended that short-term readmission is a major performance indicator of the quality of intensive care medicine.

Life after critical illness: an overview

AIMS AND OBJECTIVES

To illustrate the potential physical and psychological problems faced by patients after an episode of critical illness, highlight some of the interventions that have been tested and identify areas for future research.

BACKGROUND

Recovery from critical illness is an international problem and as an issue is likely to increase. For some, recovery from critical illness is prolonged, subject to physical and psychological problems that may negatively impact upon health-related quality of life.

METHODS

The literature accessed for this review includes the work of a number of key researchers in the field of critical care research. These were identified from a number of sources include (1) personal knowledge of the research field accumulated over the last decade and (2) using the search engine 'The Knowledge Network Scotland'.

RESULTS

Fatigue and weakness are significant problems for critical care survivors and are common in patients who have been in ICU for more than one week. Psychological problems include anxiety, depression, post-traumatic stress, delirium and cognitive impairment. Prevalence of these problems is difficult to establish for a number of methodological reasons that include the use of self-report questionnaires, the number of different questionnaires used and the variation in administration and timing. Certain subgroups of ICU survivors especially those at the more severe end of the illness severity spectrum are more at risk and this has been demonstrated for both physical and psychological problems. Findings from international studies of a range of potential interventions are presented. However, establishing effectiveness for most of these still has to be empirically demonstrated.

CONCLUSION

What seems clear is the need for a co-ordinated, multidisciplinary, designated recovery and rehabilitation pathway that begins as soon as the patient is admitted into an intensive care unit.

Monocytes, peripheral blood mononuclear cells, and THP-1 cells exhibit different cytokine expression patterns following stimulation with lipopolysaccharide

THP-1 cells are widely applied to mimic monocytes in cell culture models. In this study, we compared the cytokine release from THP-1, peripheral blood mononuclear cells (PBMC), monocytes, or whole blood after stimulation with lipopolysaccharide (LPS) and investigated the consequences of different cytokine profiles on human umbilical vein endothelial cell (HUVEC) activation. While Pseudomonas aeruginosa-stimulated (10 ng/mL) THP-1 secreted similar amounts of tumor necrosis factor alpha (TNF- α ) as monocytes and PBMC, they produced lower amounts of interleukin(IL)-8 and no IL-6 and IL-10. Whole blood required a higher concentration of Pseudomonas aeruginosa (1000 ng/mL) to induce cytokine release than isolated monocytes or PBMC (10 ng/mL). HUVEC secreted more IL-6 and IL-8 after stimulation with conditioned medium derived from whole blood than from THP-1, despite equal concentrations of TNF- α in both media. Specific adsorption of TNF- α or selective cytokine adsorption from the conditioned media prior to HUVEC stimulation significantly reduced HUVEC activation. Our findings show that THP-1 differ from monocytes, PBMC, and whole blood with respect to cytokine release after stimulation with LPS. Additionally, we could demonstrate that adsorption of inflammatory mediators results in reduced endothelial activation, which supports the concept of extracorporeal mediator modulation as supportive therapy for sepsis.

Prediction of length of ICU stay using data-mining techniques: an example of old critically Ill postoperative gastric cancer patients

OBJECTIVE

With the background of aging population in China and advances in clinical medicine, the amount of operations on old patients increases correspondingly, which imposes increasing challenges to critical care medicine and geriatrics. The study was designed to describe information on the length of ICU stay from a single institution experience of old critically ill gastric cancer patients after surgery and the framework of incorporating data-mining techniques into the prediction.

METHODS

A retrospective design was adopted to collect the consecutive data about patients aged 60 or over with a gastric cancer diagnosis after surgery in an adult intensive care unit in a medical university hospital in Shenyang, China, from January 2010 to March 2011. Characteristics of patients and the length their ICU stay were gathered for analysis by univariate and multivariate Cox regression to examine the relationship with potential candidate factors. A regression tree was constructed to predict the length of ICU stay and explore the important indicators.

RESULTS

Multivariate Cox analysis found that shock and nutrition support need were statistically significant risk factors for prolonged length of ICU stay. Altogether, seven variables entered the regression model, including age, APACHE II score, SOFA score, shock, respiratory system dysfunction, circulation system dysfunction, diabetes and nutrition support need. The regression tree indicated comorbidity of two or more kinds of shock as the most important factor for prolonged length of ICU stay in the studied sample.

CONCLUSIONS

Comorbidity of two or more kinds of shock is the most important factor of length of ICU stay in the studied sample. Since there are differences of ICU patient characteristics between wards and hospitals, consideration of the data-mining technique should be given by the intensivists as a length of ICU stay prediction tool.

Clinical imperative versus economic consequence: exploring the cost burden and opportunities in the care of patients with sepsis

Balancing clinical quality, safety, and cost is not new to health care leaders; however, the current environment of public transparency coupled with unprecedented economic challenges has created a sense of urgency to this triathlon-like balance. The implementation of clinically proven, life-saving therapy in the care of patients with sepsis is one of the highest financial burdens incurred by acute care facilities; however, the absence of that care is known to be the leading cause of death in noncoronary intensive care units and the 10th leading cause of death worldwide. Can we afford to save these lives? Through root-cost analysis of intensive care unit-care in conjunction with population management strategies, the synergy of bundled therapies in driving positive clinical outcomes can be replicated in the achievement of an outcome bundle including quality improvement, safety enhancement, and financial stewardship.

Design and evaluation of a service oriented architecture for paperless ICU tarification

The computerization of Intensive Care Units provides an overwhelming amount of electronic data for both medical and financial analysis. However, the current tarification, which is the process to tick and count patients' procedures, is still a repetitive, time-consuming process on paper. Nurses and secretaries keep track manually of the patients' medical procedures. This paper describes the design methodology and implementation of automated tarification services. In this study we investigate if the tarification can be modeled in service oriented architecture as a composition of interacting services. Services are responsible for data collection, automatic assignment of records to physicians and application of rules. Performance is evaluated in terms of execution time, cost evaluation and return on investment based on tracking of real procedures. The services provide high flexibility in terms of maintenance, integration and rules support. It is shown that services offer a more accurate, less time-consuming and cost-effective tarification.