Mortality Prediction in Patients Undergoing Non-Invasive Ventilation in Intermediate Care

Early factors related to mortality in children treated with bi-level noninvasive ventilation and CPAP

OBJECTIVE

To describe and analyze the characteristics and the early risk factors for mortality of noninvasive ventilation (NIV) in critically ill children.

STUDY DESIGN

A multicenter, prospective, observational 2-year study carried out with critically ill patients (1 month - 18 years of age) who needed NIV. Clinical data and NIV parameters during the first 12 h of admission were collected. A multilevel mixed-effects logistic regression was performed to identify mortality risk factors.

RESULTS

A total of 781 patients (44.2 ± 57.7 months) were studied (57.8% male). Of them, 53.7% had an underlying condition, and 47.1% needed NIV for lower airway respiratory pathologies. Bi-level NIV was the initial support in 78.2% of the patients. Continuous positive airway pressure (CPAP) was used more in younger patients (33.7%) than in older ones (9.7%; p < .001). About 16.7% had to be intubated and 6.2% died. The risk factors for mortality were immunodeficiency (odds ratio [OR] = 11.79; 95% confidence interval [CI] = 2.95-47.13); cerebral palsy (OR = 5.86; 95% CI = 1.94-17.65); presence of apneas on admission (OR = 5.57; 95% CI = 2.13-14.58); tachypnea 6 h after NIV onset (OR = 2.59; 95% CI = 1.30-6.94); and NIV failure (OR = 6.54; 95% CI = 2.79-15.34).

CONCLUSION

NIV is used with great variability in types of support. Younger children receive CPAP more frequently than older children. Immunodeficiency, cerebral palsy, apneas on admission, tachypnea 6 h after NIV onset, and NIV failure are the early factors associated with mortality.

Predictors for long-term mortality in COPD patients requiring non-invasive positive pressure ventilation for the treatment of acute respiratory failure

INTRODUCTION

The effectiveness of non-invasive mechanical ventilation (NIV) in the management of COPD patients suffering from acute respiratory failure (ARF) as a consequence of exacerbation of the disease, is well established. However, data on long-term outcomes and their predictors, including the individual response to NIV, are scarce.

OBJECTIVES

To investigate predictors for short- and long-term mortality in this study population.

METHODS

A retrospective cohort study was performed including all patients admitted to the Medium Respiratory Care Unit of Maastricht University Medical Center in Maastricht, the Netherlands, with hospitalized exacerbation of COPD (H-ECOPD) with ARF requiring NIV for the first time between January 2009 and December 2011. An extensive number of potential predictors of outcomes, including the response to NIV, were determined on admission and during hospitalization. Univariate and multivariate logistic regression was used for statistical analysis.

RESULTS

Seventy-eight consecutive patients with moderate to severe COPD (mean age 71.0 ± 10.7 years; 48.7% males) were included; In-hospital, 1-year and 2-year mortality rates were 14.1%, 43.6% and 56.4%, respectively. Independent risk factors for 2-year mortality were: advanced age (odds ratio(OR) 1.025; confidence interval (CI) 1.002-1.049; P = 0.037), prolonged NIV use more than 8 days (OR:1.054;CI:1.006-1.104; P = 0.027) and no successful response to NIV (OR:2.392;CI:1.297-4.413; P = 0.005).

CONCLUSION

Patients with an H-ECOPD requiring NIV for the first time, constitute a severely ill patient group with high in-hospital and 2-year mortality. This study identified advanced age, NIV use more than 8 days and unsuccessful response to NIV as clinical important independent predictors for long-term mortality.

SAPS3-CNIV score to predict hospital mortality following noninvasive ventilation: methodology insights

We have read with great interest and congratulate Huseiniet al. [1] on the external validation of the SAPS3-CNIV score (Simplified Acute Physiology Score 3 customised for noninvasive ventilation) to predict hospital mortality. Huseiniet al. [1] concluded that SAPS3-CNIV did not improve prediction of mortality in patients over SAPS3. This scoring system included the SAPS3, haemoglobin, carbon dioxide tension, lactate, do not resuscitate (DNR) orders and aetiology of respiratory failure. However, we consider that there are some key aspects that need to be taken into account for a proper clinical extrapolation.

Further work towards the development of scores to predict hospital mortality is warranted, to overcome the methodological limitations of the SAPS3-CNIVhttp://bit.ly/2QE1LoB

Patients with limitation or withdrawal of life supporting care admitted in a medico-surgical intermediate care unit: Prevalence, description and outcome over a six-month period

Purpose

There have been few studies on the limitation of Life Supporting Care (LSC) and Withdrawal of LSC in Intermediate Care Units (IMCUs). We report the prevalence of LSC limited patients in a medico-surgical IMCU over a six-month period, examining the description, outcomes, and patterns of LSC Limitations and Withdrawal of LSC.

Methods

Single center, retrospective observational study in an IMCU of a 500-bed general hospital.

Results

Our study of 404 patients, reported 79 (19.5%, 95%CI: [16.0–23.7]%) being admitted with LSC limitations in the IMCU. This group of LSC limited patients presented with higher chronic and acute severity scores. The most common admission diagnosis of LSC limited patients was acute respiratory failure (51%). Non-invasive ventilation (NIV) was frequently used within this population (39%). Hospital mortality for LSC limited patients was high (53%) and associated with age (OR = 1.07, 95%CI: [1.01–1.13)]), SOFA score (OR 1.29, 95%CI: [1.01–1.64]), and hypoxemic respiratory failure (OR 7.2, 95%CI: [1.27–40.9]). Withdrawal of LSC occurred in 19.5% of cases, often accompanied with terminal sedation with or without NIV removal (43.8%).

Conclusions

Patients with limitation of LSC are frequently admitted into IMCU. Hospital mortality rate was high and associated with age, acute organ failures, and hypoxemic respiratory failure. Life support withdrawal includes palliative sedation with or without NIV discontinuation.

Cost and Mortality Analysis of an Intermediate Respiratory Care Unit. Is It Really Efficient and Safe?

INTRODUCTION

Historically, it has been assumed that Intermediate Respiratory Care Units (IRCU) were efficient, because they saved costs by reducing the number of admissions to intensive care units (ICU), and effective, because they specialized in respiratory diseases.

METHODS

The number of IRCU admissions and mortality rate, historically and in 2016, were evaluated. For 2016, the grouped Related Diagnostic Groups (DRGs) were also described, and the savings achieved under all budgetary headings by avoiding UCI stays were calculated. A multivariate analysis was performed to associate costs with mean weights and complexity, and multiple logistic regression was performed on all patients admitted from 2004 to 2017 to describe the variables associated with mortality in our unit.

RESULTS

An IRCU generates savings of €500,000/year by reducing length of ICU stay. Analysis of the 2016 cohort shows that costs correlate with mean weight and mortality, and consequently complexity. The multivariate logistic regression analysis of the 2004-2017 cohort found respiratory frequency, leukopenia, anemia, hyperkalemia, and acidosis to be the variables best associated with mortality. The area under the curve for the logistic model was 0.75.

CONCLUSION

The IRCU analyzed in our study was efficient in terms of 'avoided costs' and savings associated with complexity. Our results suggest that IRCUs have a lower mortality rate than other similar units, and are therefore a safe environment for patients.

The predictive performance of SAPS 2 and SAPS 3 in an intermediate care unit for internal medicine at a German university transplant center; A retrospective analysis

OBJECTIVE

To analyze and compare the performance of the Simplified-Acute-Physiology-Score (SAPS) 2 and SAPS 3 among intermediate care patients with internal disorders.

MATERIALS AND METHODS

We conducted a retrospective single-center analysis in patients (n = 305) admitted to an intermediate-care-unit (ImCU) for internal medicine at the University Hospital Essen, Germany. We employed and compared the SAPS 2 vs. the SAPS 3 scoring system for the assessment of disease severity and prediction of mortality rates among patients admitted to the ImCU within an 18-month period. Both scores, which utilize parameters recorded at admission to the intensive-care-unit (ICU), represent the most widely applied scoring systems in European intensive care medicine. The area-under-the-receiver-operating-characteristic-curve (AUROC) was used to evaluate the SAPS 2 and SAPS 3 discrimination performance. Ultimately, standardized-mortality-ratios (SMRs) were calculated alongside their respective 95%-confidence-intervals (95% CI) in order to determine the observed-to-expected death ratio and calibration belt plots were generated to evaluate the SAPS 2 and SAPS 3 calibration performance.

RESULTS

Both scores provided acceptable discrimination performance, i.e., the AUROC was 0.71 (95% CI, 0.65-0.77) for SAPS 2 and 0.77 (95% CI, 0.72-0.82) for SAPS 3. Against the observed in-hospital mortality of 30.2%, SAPS 2 showed a weak performance with a predicted mortality of 17.4% and a SMR of 1.74 (95% CI, 1.38-2.09), especially in association with liver diseases and/or sepsis. SAPS 3 performed accurately, resulting in a predicted mortality of 29.9% and a SMR of 1.01 (95% CI, 0.8-1.21). Based on Calibration belt plots, SAPS 2 showed a poor calibration-performance especially in patients with low mortality risk (P<0.001), while SAPS 3 exhibited a highly accurate calibration performance (P = 0.906) across all risk levels.

CONCLUSIONS

In our study, the SAPS 3 exhibited high accuracy in prediction of mortality in ImCU patients with internal disorders. In contrast, the SAPS 2 underestimated mortality particularly in patients with liver diseases and sepsis.

External validation of the SAPS3-CNIV score to predict hospital mortality following noninvasive ventilation: a retrospective single-centre study

Prognostication tools are developed to assist clinical decision making and provide valid diagnostic and prognostic outcomes including mortality. Given significant disease and demographic heterogeneity, these tools have to be generally applicable to different patient populations. Therefore, once a model is developed it is internally and externally validated with subsequent clinical impact analyses after which its performance is evaluated and that particular model is then established.

A retrospective single-centre study suggesting that patients with higher SAPS3-CNIV scores may be monitored in an ICU setting in order to reduce adverse patient events and optimal utilisation of resourceshttp://ow.ly/F5qp30o2OT7

A Proposal for an Intermediate Care Unit-Quality Measurement Framework

Rationale, Aims, and Objectives. The Intermediate Care Unit (IMCU) is a hospital unit which is logistically situated between the hospital ward and the Intensive Care Unit (ICU). There is debate regarding the value of the IMCU. Understanding its value is compromised by the lack of adequate quality indicators. Therefore, this study identifies currently used IMCU indicators and evaluates their usefulness. Methods. Through a systematic literature search, currently used quality indicators were identified and evaluated for their importance using a proposed IMCU-specific quality measurement framework. Results. From 4034 titles and abstracts, 168 articles were selected for full-text review. Of these, 22 articles were included, which reported IMCU quality at the level of the IMCU (n = 12), the ICU (n = 5), both IMCU and ICU (n = 3) or hospital level (n = 2). At the IMCU, the IMCU mortality (n = 16), discharge-to-ICU rate (n = 7), in-hospital IMCU mortality (n = 7), and length of stay (n = 6) were most frequently reported. Three studies compared the effect of different structures of the IMCU on its utilization or hospital outcome. Conclusions. Current focus in IMCU quality research is towards measuring quality at the IMCU itself. Since the influence of the structure of IMCUs on its utilization and its effects on hospital outcome are only rarely investigated, attention should shift towards these important issues in further research. The proposed IMCU quality measurement framework can thereby serve as a helpful tool.

Utilisation of Intermediate Care Units: A Systematic Review

Background. The diversity in formats of Intermediate Care Units (IMCUs) makes it difficult to compare data from different settings. The purpose of this article was to describe and quantify these different formations and utilisation. Methods. We performed a systematic review extracting geographic location, nomenclature used, admitting specialties, open (admitting specialist in charge) or closed (intensivist/generalist in charge) management format, location in hospital, number of beds, nursing workload, medical staff to patient ratios, and modalities—possibilities and limitations—implemented. Results. Nomenclature used was High Dependency Unit (56.8%) or Intermediate Care Unit (24.3%), with the latter one increasingly being used recently. The median number of beds was 6 (IQR 4–10). Location (p < 0.001) and admitting specialties (p = 0.03) were related to the management format. IMCUs integrated or adjacent to Intensive Care Units were more often capable of using single vasoactive medication (p = 0.025). The mean nurse to patient ratio was 1 to 2.5. Conclusions. IMCUs often have a specific task in a hospital, which is reflected in location, format, and utilisation. The management format depends on location and admitting specialist while incorporated supportive treatment modules reflect its function. Common IMCU denominators are continuous monitoring and respiratory support, without mechanical ventilation and multiple vasoactive medications.

Efficiency of an electronic device in controlling tracheal cuff pressure in critically ill patients: a randomized controlled crossover study

BACKGROUND

Despite intermittent control of tracheal cuff pressure (P _cuff) using a manual manometer, cuff underinflation (<20 cmH₂O) and overinflation (>30 cmH₂O) frequently occur in intubated critically ill patients, resulting in increased risk of microaspiration and tracheal ischemic lesions. The primary objective of our study was to determine the efficiency of an electronic device in continuously controlling P _cuff. The secondary objective was to determine the impact of this device on the occurrence of microaspiration of gastric or oropharyngeal secretions.

METHODS

Eighteen patients requiring mechanical ventilation were included in this prospective randomized controlled crossover study. They randomly received either continuous control of P _cuff with Mallinckrodt^® device for 24 h, followed by discontinuous control with a manual manometer for 24 h, or the reverse sequence. During the 48 h after randomization, P _cuff was continuously recorded, and pepsin and alpha amylase were quantitatively measured in tracheal aspirates. P _cuff target was 25 cmH₂O.

RESULTS

Clinical characteristics were similar during the two study periods, as well as mean airway pressure. Percentage of time spent with cuff overinflation or underinflation was significantly lower during continuous control compared with routine care period [median (IQR) 0.8 (0.1, 2) vs 20.9 (3.1, 40.1), p = 0.0009]. No significant difference was found in pepsin [median (IQR) 230 (151, 300) vs 259 (134, 368), p = 0.95] or in alpha amylase level [median (IQR) 1475 (528, 10,333) vs 2400 (1342, 15,391), p = 0.19] between continuous control and routine care periods, respectively.

CONCLUSIONS

The electronic device is efficient in controlling P _cuff, compared with routine care using a manometer. Further studies are needed to evaluate the impact of this device on intubation-related complications. Trial registration ClinicalTrials.gov Identifier: NCT01965821.