Changes in hospital mortality for United States intensive care unit admissions from 1988 to 2012

Long-Term Outcomes after Sepsis

Sepsis is one of the most serious problems in modern medicine. Long-term outcomes in septic shock patients are very discouraging: 75% individuals who survived sepsis and septic shock demonstrate signs of organ failure and experience persistent functional deficit. Acute sepsis and its management in an intensive care unit (ICU) to a great extent determine the pathogenesis of further complications. We believe that the concept of phenoptosis proposed by Prof. Skulachev deserves a special attention from anesthesiologists and ICU doctors. According to this concept, septic shock is a suicidal mechanism of programmed organism death, which protects human population from dangerously infected individuals. The article suggests a potential approach to the sepsis treatment based on the notion that septic shock can be prevented by identification and blockade of receptors involved in the processing of phenoptotic signal induced by lipopolysaccharide and other substances that initiate septic shock. In view of this, the search for agents that can block molecular mechanisms of the phenoptotic signal transmission seems very promising.

Ventilator-associated pneumonia in patients on prolonged mechanical ventilation: description, risk factors for mortality, and performance of the SOFA score

Objective:

Ventilator-associated pneumonia (VAP) is a serious complication of mechanical ventilation (MV). However, data on VAP in patients on prolonged MV (PMV) are scarce. We aimed to describe the characteristics of VAP patients on PMV and to identify factors associated with mortality.

Methods:

This was a retrospective cohort study including VAP patients on PMV. We recorded baseline characteristics, as well as 30-day and 90-day mortality rates. Variables associated with mortality were determined by Kaplan-Meier survival analysis and Cox regression model.

Results:

We identified 80 episodes of VAP in 62 subjects on PMV. The medians for age, Charlson Comorbidity Index, SOFA score, and days on MV were, respectively, 69.5 years, 5, 4, and 56 days. Episodes of VAP occurred between days 21 and 50 of MV in 28 patients (45.2%) and, by day 90 of MV, in 48 patients (77.4%). The 30-day and 90-day mortality rates were 30.0% and 63.7%, respectively. There were associations of 30-day mortality with the SOFA score (hazard ratio [HR] = 1.30; 95% CI: 1.12-1.52; p < 0.001) and use of vasoactive agents (HR = 4.0; 95% CI: 1.2-12.9; p = 0.02), whereas 90-day mortality was associated with age (HR = 1.03; 95% CI: 1.00-1.05; p = 0.003), SOFA score (HR = 1.20; 95% CI: 1.07-1.34; p = 0.001), use of vasoactive agents (HR = 4.07; 95% CI: 1.93-8.55; p < 0.001), and COPD (HR = 3.35; 95% CI: 1.71-6.60; p < 0.001).

Conclusions:

Mortality rates in VAP patients on PMV are considerably high. The onset of VAP can occur various days after MV initiation. The SOFA score is useful for predicting fatal outcomes. The factors associated with mortality could help guide therapeutic decisions and determine prognosis.

Morbidity and Mortality Trends of Pancreatitis: An Observational Study

Background: Pancreatitis accounts for more than $2.5 billion of healthcare costs and remains the most common gastrointestinal (GI) admission. Few contemporary studies have assessed temporal trends of incidence, complications, management, and outcomes for acute pancreatitis in hospitalized patients at the national level. Methods: We used data from one of the largest hospital-based databases available in the United States, the Healthcare Cost and Utilization Project's (HCUP) State Inpatient Database, from 10 states between 2008 and 2015. We included patients with a diagnosis of acute pancreatitis (ICD-9 CM 577.0). Patient- and hospital-level data were used to estimate incidence and inpatient mortality rates. Results: From 80,736,256 hospitalizations, 929,914 (1.15%) cases of acute pancreatitis were identified, 186,226 (20.2%) of which were caused by gallbladder disease). The median age was 53 years (interquartile range [IQR], 41-67) and 50.8% were men. In-hospital mortality was 2.5% and crude mortality rates declined from 2.9% to 2.0% over the study period. Admission year remained significant after adjusting for patient demographics and comorbidities (odds ratio [OR], 0.90; 95% confidence interval [CI], 0.89-0.90; p < 0.001). Gallbladder disease was associated with decreased odds of mortality (OR, 0.60; 95% CI, 0.57-0.62). Median length of stay was four days (IQR, 2-7) and decreased over time. The rates of surgical and endoscopic interventions were highest in 2011 (peak incidence of 16.1% and 9.5%, respectively) and have been decreasing since. Surgical providers were, on average, more likely than medical providers to perform surgery in both those with and without gallbladder disease etiology (gallbladder disease OR, 7.11; 95% CI, 5.46-9.25; non-gallbladder disease OR, 20.50; 95% CI, 16.81-25.01), endoscopy (gallbladder disease OR, 1.22; 95% CI, 0.87-1.72; non-gallbladder disease OR, 1.60; 95% CI, 1.18-2.16), or both (gallbladder disease OR, 7.00; 95% CI, 5.22-9.37; non-gallbladder disease OR, 8.85; 95% CI, 5.61-13.96). Conclusions: The incidence of pancreatitis, from 2008 to 2015, has increased whereas inpatient mortality (i.e., case fatality) has decreased. Understanding temporal trends in outcomes and management along with provider, hospital, and regional variation can better identify areas for future research and collaboration in managing these patients.

Muscle atrophy in critically ill patients : a review of its cause, evaluation, and prevention

Critically ill patients exhibit prominent muscle atrophy, which occurs rapidly after ICU admission and leads to poor clinical outcomes. The extent of atrophy differs among muscles as follows: upper limb: 0.7%-2.4% per day, lower limb: 1.2%-3.0% per day, and diaphragm 1.1%-10.9% per day. This atrophy is caused by numerous risk factors such as inflammation, immobilization, nutrition, hyperglycemia, medication, and mechanical ventilation. Muscle atrophy should be monitored noninvasively by ultrasound at the bedside. Ultrasound can assess muscle mass in most patients, although physical assessment is limited to almost half of all critically ill patients due to impaired consciousness. Important strategies to prevent muscle atrophy are physical therapy and electrical muscular stimulation. Electrical muscular stimulation is especially effective for patients with limited physical therapy. Regarding diaphragm atrophy, mechanical ventilation should be adjusted to maintain spontaneous breathing and titrate inspiratory pressure. However, the sufficient timing and amount of nutritional intervention remain unclear. Further investigation is necessary to prevent muscle atrophy and improve long-term outcomes. J. Med. Invest. 67 : 1-10, February, 2020.

Plasma Neutrophil Gelatinase-Associated Lipocalin Is Useful for Predicting Mortality in Critically Ill Patients

Elevated neutrophil gelatinase-associated lipocalin (NGAL) occurs in a wide range of systemic diseases. This study examined the clinical utility of plasma NGAL to predict intensive care unit (ICU) and in-hospital mortality in critically ill patients. A total of 62 patients hospitalized in a mixed ICU were included; pNGAL, creatinine, and C-reactive protein (CRP) were assayed on four consecutive days (D1-D4) following ICU admission. APACHE II score (Acute Physiology and Chronic Health Evaluation) was calculated 24 h post-admission. ICU mortality reached 35% and in-hospital mortality was 39%. The median pNGAL at admission was 142.5 (65.6-298.3) ng/mL. pNGAL was significantly higher in non-survivors compared to survivors. The highest accuracy for ICU mortality prediction was achieved at the pNGAL cutoff of 93.91 ng/mL on D4 area under the curve (AUC) = 0.89; 95%CI 0.69-0.98 and for in-hospital mortality prediction was achieved at the pNGAL cutoff of 176.64 ng/mL on D3 (AUC = 0.86; 95%CI 0.69-0.96). The APACHE II score on ICU admission predicted ICU mortality with AUC = 0.89 (95%CI 0.79-0.96) and in-hospital mortality with AUC = 0.86 (95%CI 0.75-0.94). Although pNGAL on D1 poorly correlated with APACHE II (R = 0.3; p = 0.01), the combination of APACHE II and pNGAL on D1 predicted ICU mortality with AUC = 0.90 (95%CI 0.79-0.96) and in-hospital mortality with AUC = 0.95 (95%CI 0.78-0.99). Maximal CRP during study observation failed to predict ICU mortality (AUC = 0.62; 95%CI 0.49-0.74), but helped to predict in-hospital mortality (AUC = 0.67; 95%CI 0.54-0.79). Plasma NGAL with combination with the indices of critical illness is a useful biomarker for predicting mortality in heterogeneous population of ICU patients.

Development of the nursing practice scale for end-of-life family conferences in critical care

OBJECTIVES

This study aimed to develop the Nursing Practice Scale for End-of-life Family conferences in critical care and to clarify the current status of nursing practice regarding family conferences.

RESEARCH METHODOLOGY/DESIGN

We conducted a cross-sectional, self-administered questionnaire survey with 955 critical care unit nurses in 97 hospitals. Content validity, factor validity and criterion-related validity, known-group validity, internal consistency and test-retest reliability were evaluated. Data were then analysed statistically.

SETTING

Adult intensive care units or high dependency units in Japan.

RESULTS

Three factors with 39 items were extracted through item analysis and confirmatory factor analysis as hypothesised (Factor 1: Preparation, Factor 2: Discussion and Factor 3: Follow-up), and the mean score per item for each factor was 3.57, 3.73 and 3.75, respectively. Nurses who had any certification or had worked in critical care unit for >5 years had a significantly greater score than the others. The Cronbach's α were 0.86-0.96 and the intraclass correlation coefficients were 0.79-0.87.

CONCLUSION

The Nursing Practice Scale for End-of-life Family conferences in critical care is a valid and reliable scale. This study could effectively facilitate communication among patients, their families and healthcare providers.

Characterizing the Patients, Hospitals, and Data Quality of the eICU Collaborative Research Database

OBJECTIVES

The eICU Collaborative Research Database is a publicly available repository of granular data from more than 200,000 ICU admissions. The quantity and variety of its entries hold promise for observational critical care research. We sought to understand better the data available within this resource to guide its future use.

DESIGN

We conducted a descriptive analysis of the eICU Collaborative Research Database, including patient, practitioner, and hospital characteristics. We investigated the completeness of demographic and hospital data, as well as those values required to calculate an Acute Physiology and Chronic Health Evaluation score. We also assessed the rates of ventilation, intubation, and dialysis, and looked for potential errors in the vital sign data.

SETTING

American ICUs that participated in the Philips Healthcare eICU program between 2014 and 2015.

PATIENTS

A total of 139,367 individuals who were admitted to one of the 335 participating ICUs between 2014 and 2015.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Most encounters were from small- and medium-sized hospitals, and managed by nonintensivists. The median ICU length of stay was 1.57 days (interquartile range, 0.82-2.97 d). The median Acute Physiology and Chronic Health Evaluation IV-predicted ICU mortality was 2.2%, with an observed mortality of 5.4%. Rates of ventilation (20-33%), intubation (15-24%), and dialysis (3-5%) varied according to the query method used. Most vital sign readings fell into realistic ranges, with manually curated data less likely to contain implausible results than automatically entered data.

CONCLUSIONS

Data in the eICU Collaborative Research Database are for the most part complete and plausible. Some ambiguity exists in determining which encounters are associated with various interventions, most notably mechanical ventilation. Caution is warranted in extrapolating findings from the eICU Collaborative Research Database to larger ICUs with higher acuity.

National Trends and Variation of Functional Status Deterioration in the Medically Critically Ill

OBJECTIVES

Physical and psychologic deficits after an ICU admission are associated with lower quality of life, higher mortality, and resource utilization. This study aimed to examine the prevalence and secular changes of functional status deterioration during hospitalization among nonsurgical critical illness survivors over the past decade.

DESIGN

We performed a retrospective longitudinal cohort analysis.

SETTING

Analysis performed using the Cerner Acute Physiology and Chronic Health Evaluation outcomes database which included manually abstracted data from 236 U.S. hospitals from 2008 to 2016.

PATIENTS

We included nonsurgical adult ICU patients who survived their hospitalization and had a functional status documented at ICU admission and hospital discharge. Physical functional status was categorized as fully independent, partially dependent, or fully dependent.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Functional status deterioration occurred in 38,116 patients (29.3%). During the past decade, functional status deterioration increased in each disease category, as well as overall (prevalence rate ratio, 1.15; 95% CI, 1.13-1.17; p < 0.001). Magnitude of functional status deterioration also increased over time (odds ratio, 1.03; 95% CI, 1.03-1.03; p < 0.001) with hematological, sepsis, neurologic, and pulmonary disease categories having the highest odds of severe functional status deterioration.

CONCLUSIONS

Following nonsurgical critical illness, the prevalence of functional status deterioration and magnitude increased in a nationally representative cohort, despite efforts to reduce ICU dysfunction over the past decade. Identifying the prevalence of functional status deterioration and primary etiologies associated with functional status deterioration will elucidate vital areas for further research and targeted interventions. Reducing ICU debilitation for key disease processes may improve ICU survivor mortality, enhance quality of life, and decrease healthcare utilization.

Establishment and validation of a predictive model for mortality within 30 days in patients with sepsis-induced blood pressure drop: A retrospective analysis

OBJECTIVES

To establish and validate an individualized nomogram to predict the probability of death within 30 days in patients with sepsis-induced blood pressure drop would help clinical physicians to pay attention to those with higher risk of death after admission to wards.

METHODS

A total of 1023 patients who were admitted to the Dongyang People's Hospital, China, enrolled in this study. They were divided into model group (717 patients) and validation group (306 patients). The study included 13 variables. The independent risk factors leading to death within 30 days were screened by univariate analyses and multivariate logistic regression analyses and used for Nomogram. The discrimination and correction of the prediction model were assessed by the area under the Receiver Operating Characteristic (ROC) curve and the calibration chart. The clinical effectiveness of the prediction model was assessed by the Decision Curve Analysis (DCA).

RESULTS

Seven variables were independent risk factors, included peritonitis, respiratory failure, cardiac insufficiency, consciousness disturbance, tumor history, albumin level, and creatinine level at the time of admission. The area under the ROC curve of the model group and validation group was 0.834 and 0.836. The P value of the two sets of calibration charts was 0.702 and 0.866. The DCA curves of the model group and validation group were above the two extreme (insignificant) curves.

CONCLUSIONS

The model described in this study could effectively predict the death of patients with sepsis-induced blood pressure drop.

Environmental Factors Affecting Early Mobilization and Physical Disability Post-Intensive Care: An Integrative Review Through the Lens of the World Health Organization International Classification of Functioning, Disability, and Health

BACKGROUND

Early mobilization (EM) is one of few potential protective factors associated with reduced physical disability post-intensive care (PD PIC). However, only 45% of intensive care units (ICUs) in the United States routinely practice EM despite its recognized benefits.

OBJECTIVES

To analyze the evidence on the relationship between critical care EM, PD PIC, and environmental factors, using the theoretical lens of the World Health Organization's (WHO's) International Classification of Functioning, Disability, and Health (ICF).

METHOD

The Whittemore and Knafl methodology for integrative reviews and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines were followed. Qualitative, quantitative, and mixed-methods studies (n = 38) that evaluated EM and 1 or more domains of the WHO ICF were included. Quality was appraised using the Mixed-Methods Appraisal Tool. Study characteristics were evaluated for common themes and relationships. The ICF domains and subdomains pertaining to each study were synthesized.

RESULTS

Early mobilization was related to improved functioning on the disability continuum of the WHO ICF. Early mobilization was influenced by several WHO ICF environmental factors. Dedicated physical and occupational therapy teams in the ICU, interdisciplinary rounds, and positive family and staff perception of EM facilitated intervention delivery. However, poor staffing levels, negative unit culture, perceived workload burden, and lack of equipment, education, and financial support impeded delivery of EM.

DISCUSSION

Early mobilization is a promising intervention that may reduce PD PIC. However, environmental factors negatively influence delivery of EM in the ICU. Several gaps in EM research limit its acceptability in ICU practice. Existing EM research is challenged by poor methodological quality. Further study is necessary to better understand the role of EM on PD PIC and improve patient outcomes following critical illness.

Suicide and self-harm in adult survivors of critical illness: population based cohort study

OBJECTIVE

To analyse the association between survival from critical illness and suicide or self-harm after hospital discharge.

DESIGN

Population based cohort study using linked and validated provincial databases.

SETTING

Ontario, Canada between January 2009 and December 2017 (inclusive).

PARTICIPANTS

Consecutive adult intensive care unit (ICU) survivors (≥18 years) were included. Linked administrative databases were used to compare ICU hospital survivors with hospital survivors who never required ICU admission (non-ICU hospital survivors). Patients were categorised based on their index hospital admission (ICU or non-ICU) during the study period.

MAIN OUTCOME MEASURES

The primary outcome was the composite of death by suicide (as noted in provincial death records) and deliberate self-harm events after discharge. Each outcome was also assessed independently. Incidence of suicide was evaluated while accounting for competing risk of death from other causes. Analyses were conducted by using overlap propensity score weighted, cause specific Cox proportional hazard models.

RESULTS

423 060 consecutive ICU survivors (mean age 61.7 years, 39% women) were identified. During the study period, the crude incidence (per 100 000 person years) of suicide, self-harm, and the composite of suicide or self-harm among ICU survivors was 41.4, 327.9, and 361.0, respectively, compared with 16.8, 177.3, and 191.6 in non-ICU hospital survivors. Analysis using weighted models showed that ICU survivors (v non-ICU hospital survivors) had a higher risk of suicide (adjusted hazards ratio 1.22, 95% confidence interval 1.11 to 1.33) and self-harm (1.15, 1.12 to 1.19). Among ICU survivors, several factors were associated with suicide or self-harm: previous depression or anxiety (5.69, 5.38 to 6.02), previous post-traumatic stress disorder (1.87, 1.64 to 2.13), invasive mechanical ventilation (1.45, 1.38 to 1.54), and renal replacement therapy (1.35, 1.17 to 1.56).

CONCLUSIONS

Survivors of critical illness have increased risk of suicide and self-harm, and these outcomes were associated with pre-existing psychiatric illness and receipt of invasive life support. Knowledge of these prognostic factors might allow for earlier intervention to potentially reduce this important public health problem.

Cardiovascular and Renal Disease in Chronic Critical Illness

With advances in critical care, patients who would have succumbed in previous eras now survive through hospital discharge. Many survivors suffer from chronic organ dysfunction and induced frailty, representing an emerging chronic critical illness (CCI) phenotype. Persistent and worsening cardiovascular and renal disease are primary drivers of the CCI phenotype and have pathophysiologic synergy, potentiating one another and generating a downward spiral of worsening disease and clinical outcomes manifest as cardio-renal syndromes. In addition to pharmacologic therapies (e.g., diuretics, beta adrenergic receptor blockers, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, and blood pressure control), special consideration should be given to behavioral modifications that avoid the pitfalls of polypharmacy and suboptimal renal and hepatic dosing, to which CCI patients may be particularly vulnerable. Smoking cessation, dietary modifications (e.g., early high-protein nutrition and late low-sodium diets), and increased physical activity are advised. Select patients benefit from cardiac re-synchronization therapy or renal replacement therapy. Coordinated, patient-centered care bundles may improve compliance with standards of care and patient outcomes. Given the complex, heterogeneous nature of cardiovascular and renal disease in CCI and the dismal long-term outcomes, further research is needed to clarify pathophysiologic mechanisms of cardio-renal syndromes in CCI and develop targeted therapies.

Spontaneous Versus Controlled Mechanical Ventilation in Patients with Acute Respiratory Distress Syndrome

Purpose of Review

To review clinical evidence on whether or not to allow mechanically ventilated patients with acute respiratory distress syndrome (ARDS) to breathe spontaneously.

Recent Findings

Observational data (LUNG SAFE study) indicate that mechanical ventilation allowing for spontaneous breathing (SB) is associated with more ventilator-free days and a shorter stay in the intensive care unit without any effect on hospital mortality. A paediatric trial, comparing airway pressure release ventilation (APRV) and low-tidal volume ventilation, showed an increase in mortality in the APRV group. Conversely, in an unpublished trial comparing SB and controlled ventilation (NCT01862016), the authors concluded that SB is feasible but did not improve outcomes in ARDS patients.

Summary

A paucity of clinical trial data continues to prevent firm guidance on if or when to allow SB during mechanical ventilation in patients with ARDS. No published large randomised controlled trial exists to inform practice about the benefits and harms of either mode.

Effect of vibration therapy on physical function in critically ill adults (VTICIA trial): protocol for a single-blinded randomised controlled trial

INTRODUCTION

Vibration therapy has been used as an additional approach in passive rehabilitation. Recently, it has been demonstrated to be feasible and safe for critically ill patients, whose muscle weakness and intensive care unit (ICU)-acquired weakness are serious problems. However, the effectiveness of vibration therapy in this population is unclear.

METHODS AND ANALYSIS

This study will enrol 188 adult critically ill patients who require further ICU stay after they can achieve sitting at the edge of the bed or wheelchair. The sample size calculation is based on a 15% improvement of Functional Status Score for the ICU. They will be randomised to vibration therapy coupled with protocolised mobilisation or to protocolised mobilisation alone; outcomes will be compared between the two groups. Therapy will be administered using a low-frequency vibration device (5.6-13 Hz) for 15 min/day from when the patient first achieves a sitting position and onward until discharge from the ICU. Outcome assessments will be blinded to the intervention. Primary outcome will be measured using the Functional Status Score for the ICU during discharge. Secondary outcomes will be identified as follows: delirium, Medical Research Council Score, ICU-acquired weakness, the change of biceps brachii and rectus femoris muscle mass measured by ultrasound, ICU mobility scale and ventilator-free and ICU-free days (number of free days during 28 days after admission). For safety assessment, vital signs will be monitored during the intervention.

ETHICS AND DISSEMINATION

This study has been approved by the Clinical Research Ethics Committee of Tokushima University Hospital. Results will be disseminated through publication in a peer-reviewed journal and presented at conferences.

TRIAL REGISTRATION NUMBER

UMIN000039616.

Glucocorticoids and the Brain after Critical Illness

Treatment for critical illness typically focuses on a patient's short-term physical recovery; however, recent work has broadened our understanding of the long-term implications of illness and treatment strategies. In particular, survivors of critical illness have significantly elevated risk of developing lasting cognitive impairment and psychiatric disorders. In this review, we examine the role of endogenous and exogenous glucocorticoids in neuropsychiatric outcomes following critical illness. Illness is marked by acute elevation of free cortisol and adrenocorticotropic hormone suppression, which typically normalize after recovery; however, prolonged dysregulation can sometimes occur. High glucocorticoid levels can cause lasting alterations to the plasticity and structural integrity of the hippocampus and prefrontal cortex, and this mechanism may plausibly contribute to impaired memory and cognition in critical illness survivors, though specific evidence is lacking. Glucocorticoids may also exacerbate inflammation-associated neural damage. Conversely, current evidence indicates that glucocorticoids during illness may protect against the development of post-traumatic stress disorder. We propose future directions for research in this field, including determining the role of persistent glucocorticoid elevations after illness in neuropsychiatric outcomes, the role of systemic vs neuroinflammation, and probing unexplored lines of investigation on the role of mineralocorticoid receptors and the gut-brain axis. Progress toward personalized medicine in this area has the potential to produce tangible improvements to the lives patients after a critical illness, including Coronavirus Disease 2019.

A protocol for tracking outcomes post intensive care

BACKGROUND

Critically ill patients are more likely to survive intensive care than ever before due to advances in treatment. However, a proportion subsequently experiences post-intensive care syndrome (PICS) incurring substantial personal, social, and economic costs. PICS is a debilitating set of physical, psychological, and cognitive sequelae but the size and characteristics of the affected population have been difficult to describe, impeding progress in intensive care rehabilitation.

AIMS AND OBJECTIVES

The aim of this protocol is to describe recovery after admission to intensive care unit (ICU) and the predictors, correlates, and patient-reported outcomes for those experiencing PICS. The study will support the development of screening, diagnostic, and outcome measures to improve post-ICU recovery.

DESIGN

A prospective, multi-site observational study in three ICUs in Brisbane, Australia. Following consent, data will be collected from clinical records and using validated self-report instruments from 300 patients, followed up at 6 weeks and 6 months post ICU discharge.

METHODS

TOPIC is a prospective, multi-site observational study using self-report and clinical data on risk factors, including comorbidities, and outcomes. Data will be collected with consent from hospital records and participants 6 weeks and 6months post ICU discharge.

RESULTS

The main outcome measures will be self-reported physical, cognitive, and psychological function 6 weeks and 6 months post-ICU discharge.

RELEVANCE TO CLINICAL PRACTICE

This protocol provides a methodological framework to measure recovery and understand PICS. Data analysis will describe characteristics associated with recovery and PICS. The subsequent prediction and screening tools developed then aim to improve the effectiveness of post-ICU prevention and rehabilitation through more targeted screening and prediction and found a program of research developing a more tailored approach to PICS.

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation

Deep learning models are increasingly studied in the field of critical care. However, due to the lack of external validation and interpretability, it is difficult to generalize deep learning models in critical care senarios. Few works have validated the performance of the deep learning models with external datasets. To address this, we propose a clinically practical and interpretable deep model for intensive care unit (ICU) mortality prediction with external validation. We use the newly published dataset Philips eICU to train a recurrent neural network model with two-level attention mechanism, and use the MIMIC III dataset as the external validation set to verify the model performance. This model achieves a high accuracy (AUC = 0.855 on the external validation set) and have good interpretability. Based on this model, we develop a system to support clinical decision-making in ICUs.

Transport Time and Mortality in Critically Ill Patients with Severe Traumatic Brain Injury

PURPOSE

Severe traumatic brain injury (TBI) is a major cause of morbidity and mortality in critically ill patients. Pre-hospital care and transportation time may impact their outcomes.

METHODS

Using the British Columbia Trauma Registry, we included 2,860 adult (≥18 years) patients with severe TBI (abbreviated injury scale head score ≥4), who were admitted to an intensive care unit (ICU) in a centre with neurosurgical services from January 1, 2000 to March 31, 2013. We evaluated the impact of transportation time (time of injury to time of arrival at a neurosurgical trauma centre) on in-hospital mortality and discharge disposition, adjusting for age, sex, year of injury, injury severity score (ISS), revised trauma score at the scene, location of injury, socio-economic status and direct versus indirect transfer.

RESULTS

Patients had a median age of 43 years (interquartile range [IQR] 26-59) and 676 (23.6%) were female. They had a median ISS of 33 (IQR 26-43). Median transportation time was 80 minutes (IQR 40-315). ICU and hospital length of stay were 6 days (IQR 2-12) and 20 days (IQR 7-42), respectively. Six hundred and ninety-six (24.3%) patients died in hospital. After adjustment, there was no significant impact of transportation time on in-hospital mortality (odds ratio 0.98, 95% confidence interval 0.95-1.01). There was also no significant effect on discharge disposition.

CONCLUSIONS

No association was found between pre-hospital transportation time and in-hospital mortality in critically ill patients with severe TBI.

Characteristics and outcomes of patients admitted to adult intensive care units in Hong Kong: a population retrospective cohort study from 2008 to 2018

Background

Globally, mortality rates of patients admitted to the intensive care unit (ICU) have decreased over the last two decades. However, evaluations of the temporal trends in the characteristics and outcomes of ICU patients in Asia are limited. The objective of this study was to describe the characteristics and risk adjusted outcomes of all patients admitted to publicly funded ICUs in Hong Kong over a 11-year period. The secondary objective was to validate the predictive performance of Acute Physiology And Chronic Health Evaluation (APACHE) IV for ICU patients in Hong Kong.

Methods

This was an 11-year population-based retrospective study of all patients admitted to adult general (mixed medical-surgical) intensive care units in Hong Kong public hospitals. ICU patients were identified from a population electronic health record database. Prospectively collected APACHE IV data and clinical outcomes were analysed.

Results

From 1 April 2008 to 31 March 2019, there were a total of 133,858 adult ICU admissions in Hong Kong public hospitals. During this time, annual ICU admissions increased from 11,267 to 14,068, whilst hospital mortality decreased from 19.7 to 14.3%. The APACHE IV standard mortality ratio (SMR) decreased from 0.81 to 0.65 during the same period. Linear regression demonstrated that APACHE IV SMR changed by − 0.15 (95% CI − 0.18 to − 0.11) per year (Pearson’s R = − 0.951, p < 0.001). Observed median ICU length of stay was shorter than that predicted by APACHE IV (1.98 vs. 4.77, p < 0.001). C-statistic for APACHE IV to predict hospital mortality was 0.889 (95% CI 0.887 to 0.891) whilst calibration was limited (Hosmer–Lemeshow test p < 0.001).

Conclusions

Despite relatively modest per capita health expenditure, and a small number of ICU beds per population, Hong Kong consistently provides a high-quality and efficient ICU service. Number of adult ICU admissions has increased, whilst adjusted mortality has decreased over the last decade. Although APACHE IV had good discrimination for hospital mortality, it overestimated hospital mortality of critically ill patients in Hong Kong.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-020-00513-9.

Relationship between age and in-hospital mortality during 15,345,025 non-surgical hospitalizations

INTRODUCTION

Mortality, whether in or out of hospital, increases with age. However, studies evaluating in-hospital mortality in large populations did not distinguish between surgical and non-surgical causes of death, either in young or in elderly patients. The aim of the study was to assess in-hospital non-surgical mortality in a large group of patients, with a special focus on the elderly.

MATERIAL AND METHODS

Data from the database of the Polish National Health Fund (NHF) regarding hospitalizations of adult (≥ 18 years) patients not related to surgical procedures in the years 2009-2013 were used to assess in-hospital mortality.

RESULTS

15,345,025 hospitalizations were assessed. The mean in-hospital non-surgery-related mortality rate was 3.96 ±0.17%, and increased from 3.79% to 4.2% between 2009 and 2013. The mean odds ratio for in-hospital death increased with the age of patients, reaching a 229-fold higher rate in the ≥ 95 years age group as compared to the 18-24 age group. The highest mean mortality was associated with respiratory diseases (6.91 ±0.20%), followed by heart and vascular diseases, nervous system diseases, as well as combined gastrointestinal tract, liver, biliary tract, pancreas and spleen diseases (5.65 ±0.27%, 5.46 ±0.05% and 4.01 ±0.13%, respectively).

CONCLUSIONS

The in-hospital non-surgery-related mortality rate was approximately 4%. It significantly increased with age and, regardless of age, was highest in patients suffering from respiratory diseases.

Patient-reported physical functioning is limited in almost half of critical illness survivors 1-year after ICU-admission: A retrospective single-centre study

Post-intensive care unit (ICU) sequelae, including physical and mental health problems, are relatively unexplored. Characteristics commonly used to predict outcome lack prognostic value when it comes to long-term physical recovery. Therefore, the objective of this study was to assess the incidence of non-recovery in long-stay ICU-patients. In this single-centre study, retrospective data of adults with an ICU stay >48 hours who visited the specialized post-ICU clinic, and completed the Dutch RAND 36-item Short Form questionnaire at 3 and 12 months post-ICU, were retrieved from electronic patient records. In cases where physical functioning scores at 12 months were below reference values, patients were allocated to the physical non-recovery (NR) group. Significantly different baseline and (post-)ICU-characteristics were assessed for correlations with physical recovery at 12 months post-ICU. Of 250 patients, 110 (44%) fulfilled the criteria for the NR-group. Neither the severity of illness, type of admission, nor presence of sepsis did not differ between groups. However, NR-patients had a higher age, were more often female, and had a higher incidence of co-morbidities. Shorter LOS ICU, lower incidence of medical comorbidities, and better physical performance at 3 months were significantly correlated with 1-year physical recovery. Comorbidities and reduced physical functioning at 3 months were identified as independent risk-factors for long-term physical non-recovery. In conclusion, a substantial proportion of long-stay ICU-patients who visited the standard care post-ICU clinic did not fulfil the criteria for full physical recovery at 12 months post-ICU. Commonly used ICU-characteristics, such as severity of illness, do not have sufficient prognostic value when it comes to long-term recovery of health-related quality of life.

Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach

Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes in ICUs today require laborious manual input of many complex parameters. In this work, we present a scheme that uses variations in vital signs over a 24-h period to make mortality risk assessments for 3-day, 7-day, and 14-day windows. We develop a hybrid neural network model that combines convolutional (CNN) layers with bidirectional long short-term memory (BiLSTM) to predict mortality from statistics describing the variation of heart rate, blood pressure, respiratory rate, blood oxygen levels, and temperature. Our scheme performs strongly compared to state-of-the-art schemes in the literature for mortality prediction, with our highest-performing model achieving an area under the receiver-operator curve of 0.884. We conclude that the use of a hybrid CNN-BiLSTM network is highly effective in determining mortality risk for the 3, 7, and 14 day windows from vital signs. As vital signs are routinely recorded, in many cases automatically, our scheme could be implemented such that highly accurate mortality risk could be predicted continuously and automatically, reducing the burden on healthcare providers and improving patient outcomes.

Physicians' Perceptions of a Situation Awareness-Oriented Visualization Technology for Viscoelastic Blood Coagulation Management (Visual Clot): Mixed Methods Study

Background

Viscoelastic tests enable a time-efficient analysis of coagulation properties. An important limitation of viscoelastic tests is the complicated presentation of their results in the form of abstract graphs with a multitude of numbers. We developed Visual Clot to simplify the interpretation of presented clotting information. This visualization technology applies user-centered design principles to create an animated model of a blood clot during the hemostatic cascade. In a previous simulation study, we found Visual Clot to double diagnostic accuracy, reduce time to decision making and perceived workload, and improve care providers’ confidence.

Objective

This study aimed to investigate the opinions of physicians on Visual Clot technology. It further aimed to assess its strengths, limitations, and clinical applicability as a support tool for coagulation management.

Methods

This was a researcher-initiated, international, double-center, mixed qualitative-quantitative study that included the anesthesiologists and intensive care physicians who participated in the previous Visual Clot study. After the participants solved six coagulation scenarios using Visual Clot, we questioned them about the perceived pros and cons of this new tool. Employing qualitative research methods, we identified recurring answer patterns, and derived major topics and subthemes through inductive coding. Based on them, we defined six statements. The study participants later rated their agreement to these statements on five-point Likert scales in an online survey, which represented the quantitative part of this study.

Results

A total of 60 physicians participated in the primary Visual Clot study. Among these, 36 gave an interview and 42 completed the online survey. In total, eight different major topics were derived from the interview field note responses. The three most common topics were “positive design features” (29/36, 81%), “facilitates decision making” (17/36, 47%), and “quantification not made” (17/36, 47%). In the online survey, 93% (39/42) agreed to the statement that Visual Clot is intuitive and easy to learn. Moreover, 90% (38/42) of the participants agreed that they would like the standard result and Visual Clot displayed on the screen side by side. Furthermore, 86% (36/42) indicated that Visual Clot allows them to deal with complex coagulation situations more quickly.

Conclusions

A group of anesthesia and intensive care physicians from two university hospitals in central Europe considered Visual Clot technology to be intuitive, easy to learn, and useful for decision making in situations of active bleeding. From the responses of these possible future users, Visual Clot appears to constitute an efficient and well-accepted way to streamline the decision-making process in viscoelastic test–based coagulation management.

Association of Chloride Ion and Sodium-Chloride Difference With Acute Kidney Injury and Mortality in Critically Ill Patients

Objectives

Derangements of chloride ion concentration ([Cl^-]) have been shown to be associated with acute kidney injury and other adverse outcomes. For a physicochemical approach, however, chloride ion concentration should be considered with sodium ion concentration. This study aimed to examine the association of chloride ion concentration and the main strong ion difference (difference between sodium ion concentration and chloride ion concentration) during the first 24 hours after admission into ICU with the development of acute kidney injury and mortality.

Design

Retrospective analyses using the eICU Collaborative Research Database.

Setting

ICUs in 208 hospitals across the United States between 2014 and 2015.

Patients

Critically ill patients who were admitted into the ICU.

Interventions

None.

Measurements and Main Results

A total of 34,801 patients records were analyzed. A multivariable logistic regression analysis for the development of acute kidney injury within 7 days of ICU admission shows that, compared with main strong iron difference 32-34 mEq/as a reference, there were significantly high odds for the development of acute kidney injury in nearly all groups with main strong iron difference more than 34 mEq/L (main strong iron difference = 34-36 mEq/L, odds ratio = 1.17, p = 0.02; main strong iron difference = 38-40 mEq/L, odds ratio = 1.40, p < 0.001; main strong iron difference = 40-42 mEq/L, odds ratio = 1.46, p = 0.001; main strong iron difference > 42 mEq/L, odds ratio = 1.56, p < 0.001). With chloride ion concentration 104-106 mEq/L as a reference, the odds for acute kidney injury were significantly higher only in chloride ion concentration less than or equal to 94 mEq/L and chloride ion concentration 98-100 mEq/L groups. Analyses conducted using inverse probability weighting showed significantly greater odds for ICU mortality in all groups with main strong iron difference greater than 34mEq/L other than the 36-38mEq/L group, as well as in the less than 26-mEq/L group.

Conclusions

Main strong iron difference measured on ICU presentation to the ICU predicts acute kidney injury within 7 days, with low and, in particular, high values representing increased risk. The association between the chloride levels and acute kidney injury is statistically insignificant in models incorporating main strong iron difference, suggesting main strong iron difference is a better predictive marker than chloride on ICU admission.

An International Study Exploring the Experience of Survivors of Critical Illness as Volunteers Within ICU Recovery Services

Many clinicians have implemented follow-up and aftercare to support patients following ICU. Some of this care is supported and facilitated by peer volunteers. There is limited contemporary work that has explicitly explored volunteer roles within ICU recovery services or the experience of volunteers undertaking these roles. We sought to explore the experience of survivors of critical illness, as volunteers, involved in ICU recovery services and understand their motivation for undertaking these roles.

Design

Qualitative exploration using in-depth semistructured interviews. The study design used an inductive content analysis process. We also documented the roles that were adopted by volunteers in each site involved in the study.

Setting

Patients and caregivers were sampled from seven sites across three continents.

Patients and Subjects

Patients and caregivers who had adopted peer-volunteering roles were undertaken.

Interventions

None.

Measurements and Main Results

Twelve patient and caregiver peer volunteers were interviewed. Four key themes were identified. These themes related to the experience of volunteers within ICU recovery services and their motivation for undertaking these roles: 1) self-belief and acceptance, 2) developing peer support, 3) social roles and a sense of purpose, and 4) giving back. Overwhelmingly, participants were positive about the role of the volunteer in the critical care setting.

Conclusions

Peer volunteers undertake a variety of roles in ICU recovery services and during recovery more generally. These roles appear to be of direct benefit to those in these roles. Future research is needed to develop these roles and fully understand the potential impact on the service, including the impact on other patients.

Dichloroacetate-induced metabolic reprogramming improves lifespan in a Drosophila model of surviving sepsis

Sepsis is the leading cause of death in hospitalized patients and beyond the hospital stay and these long-term sequelae are due in part to unresolved inflammation. Metabolic shift from oxidative phosphorylation to aerobic glycolysis links metabolism to inflammation and such a shift is commonly observed in sepsis under normoxic conditions. By shifting the metabolic state from aerobic glycolysis to oxidative phosphorylation, we hypothesized it would reverse unresolved inflammation and subsequently improve outcome. We propose a shift from aerobic glycolysis to oxidative phosphorylation as a sepsis therapy by targeting the pathways involved in the conversion of pyruvate into acetyl-CoA via pyruvate dehydrogenase (PDH). Chemical manipulation of PDH using dichloroacetic acid (DCA) will promote oxidative phosphorylation over glycolysis and decrease inflammation. We tested our hypothesis in a Drosophila melanogaster model of surviving sepsis infected with Staphylococcus aureus. Drosophila were divided into 3 groups: unmanipulated, sham and sepsis survivors, all treated with linezolid; each group was either treated or not with DCA for one week following sepsis. We followed lifespan, measured gene expression of Toll, defensin, cecropin A, and drosomycin, and levels of lactate, pyruvate, acetyl-CoA as well as TCA metabolites. In our model, metabolic effects of sepsis are modified by DCA with normalized lactate, TCA metabolites, and was associated with improved lifespan of sepsis survivors, yet had no lifespan effects on unmanipulated and sham flies. While Drosomycin and cecropin A expression increased in sepsis survivors, DCA treatment decreased both and selectively increased defensin.

Changing epidemiology and outcomes of acute kidney injury in hospitalized patients with cirrhosis - a US population-based study

BACKGROUND & AIMS

Acute kidney injury (AKI) is a significant clinical event in cirrhosis yet contemporary population-based studies on the impact of AKI on hospitalized cirrhotics are lacking. We aimed to characterize longitudinal trends in incidence, healthcare burden and outcomes of hospitalized cirrhotics with and without AKI using a nationally representative dataset.

METHODS

Using the 2004-2016 National Inpatient Sample (NIS), admissions for cirrhosis with and without AKI were identified using ICD-9 and ICD-10 codes. Regression analysis was used to analyze the trends in hospitalizations, costs, length of stay and inpatient mortality. Descriptive statistics, simple and multivariable logistic regression were used to assess associations between individual characteristics, comorbidities, and cirrhosis complications with AKI and death.

RESULTS

In over 3.6 million admissions for cirrhosis, 22% had AKI. AKI admissions were more costly (median $13,127 [IQR $7,367-$24,891] vs. $8,079 [IQR $4,956-$13,693]) and longer (median 6 [IQR 3-11] days vs. 4 [IQR 2-7] days). Over time, AKI prevalence doubled from 15% in 2004 to 30% in 2016. CKD was independently and strongly associated with AKI (adjusted odds ratio 3.75; 95% CI 3.72-3.77). Importantly, AKI admissions were 3.75 times more likely to result in death (adjusted odds ratio 3.75; 95% CI 3.71-3.79) and presence of AKI increased risk of mortality in key subgroups of cirrhosis, such as those with infections and portal hypertension-related complications.

CONCLUSIONS

The prevalence of AKI is significantly increased among hospitalized cirrhotics. AKI substantially increases the healthcare burden associated with cirrhosis. Despite advances in cirrhosis care, a significant gap remains in outcomes between cirrhotics with and without AKI, suggesting that AKI continues to represent a major clinical challenge.

LAY SUMMARY

Sudden damage to the kidneys is becoming more common in people who are hospitalized and have cirrhosis. Despite advances in cirrhosis care, those with damage to the kidneys remain at higher risk of dying.

How the high acuity unit changes mortality in the intensive care unit: a retrospective before-and-after study

PURPOSE

High acuity units (HAU) are hospital units that provide patients with more acute care and closer monitoring than a general hospital ward but are not as resource intensive as an intensive care unit (ICU). Nevertheless, the impact of opening a HAU on ICU patient outcomes remains poorly defined. We investigated how the creation of a HAU impacted patient outcomes in the ICU.

METHODS

This historical cohort study compared ICU patient in-hospital mortality, ICU length of stay (LOS), and hospital LOS before and after the creation of a HAU in a tertiary-care hospital with a medical/surgical ICU between 1 January 2013 and 31 December 2017.

RESULTS

Data from 4,380 patients (984 in the pre-HAU group and 3,396 in the post-HAU group) were analyzed. In this cohort of ICU patients, 360 (37%) died in the pre-HAU group before the creation of a HAU, and 1,074 (32%) died in the post-HAU group after the creation of a HAU. The creation of a HAU was associated with lower relative risk of in-hospital mortality (adjusted risk ratio, 0.80; 95% confidence interval [CI], 0.72 to 0.89; P < 0.001). The creation of a HAU was also associated with reduced ICU and hospital LOS with a 12% increase in the rate of ICU discharge (adjusted sub-distribution hazard ratio [SHR], 1.12; 95% CI, 1.02 to 1.23; P = 0.02) and a 26% increase in the rate of hospital discharge (adjusted SHR, 1.26; 95% CI, 1.14 to 1.39; P < 0.001), when accounting for the competing risk of death.

CONCLUSIONS

These data support the hypothesis that the creation of a HAU may be associated with reduced in-hospital mortality, ICU LOS, and hospital LOS for ICU patients.

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.

Evaluating the association between unmet healthcare needs and subsequent clinical outcomes: protocol for the Addressing Post-Intensive Care Syndrome-01 (APICS-01) multicentre cohort study

INTRODUCTION

As short-term mortality declines for critically ill patients, a growing number of survivors face long-term physical, cognitive and/or mental health impairments. After hospital discharge, many critical illness survivors require an in-depth plan to address their healthcare needs. Early after hospital discharge, numerous survivors experience inadequate care or a mismatch between their healthcare needs and what is provided. Many patients are readmitted to the hospital, have substantial healthcare resource use and experience long-lasting morbidity. The objective of this study is to investigate the gap in healthcare needs occurring immediately after hospital discharge and its association with hospital readmissions or death for survivors of acute respiratory failure (ARF).

METHODS AND ANALYSIS

In this multicentre prospective cohort study, we will enrol 200 survivors of ARF in the intensive care unit (ICU) who are discharged directly home from their acute care hospital stay. Unmet healthcare needs, the primary exposure of interest, will be evaluated as soon as possible within 1 to 4 weeks after hospital discharge, via a standardised telephone assessment. The primary outcome, death or hospital readmission, will be measured at 3 months after discharge. Secondary outcomes (eg, quality of life, cognitive impairment, depression, anxiety and post-traumatic stress disorder) will be measured as part of 3-month and 6-month telephone-based follow-up assessments. Descriptive statistics will be reported for the exposure and outcome variables along with a propensity score analysis, using inverse probability weighting for the primary exposure, to evaluate the relationship between the primary exposure and outcome.

ETHICS AND DISSEMINATION

The study received ethics approval from Vanderbilt University Medical Center Institutional Review Board (IRB) and the University of Utah IRB (for the Veterans Affairs site). These results will inform both clinical practice and future interventional trials in the field. We plan to disseminate the results in peer-reviewed journals, and via national and international conferences.

TRIAL REGISTRATION DETAILS

ClinicalTrials.gov (NCT03738774). Registered before enrollment of the first patient.

A simplified critical illness severity scoring system (CISSS): Development and internal validation

PURPOSE

To create a simplified critical illness severity scoring system with high prediction accuracy for 30-day mortality using only commonly available variables.

MATERIALS AND METHODS

This is a retrospective cohort study of ICU admissions 2010-2015 in 306 ICUs in 117 Veterans Affairs (VA) hospitals. We randomly divided our cohort into a training dataset (75%) and a validation dataset (25%). We created a critical illness severity scoring system (CISSS) using age, comorbidities, heart rate, mean arterial blood pressure, temperature, respiratory rate, hematocrit, white blood cell count, creatinine, sodium, glucose, albumin, bilirubin, bicarbonate, use of invasive mechanical ventilation, and whether the admission was surgical or not. We validated the performance of CISSS to predict 30-day mortality internally.

RESULTS

After excluding 31,743 re-admissions, we divided our sample (n = 534,001) into a training (n = 400,613) and a validation dataset (n = 133,388). In the training dataset, the area under the curve (AUC) of CISSS was 0.847(95%CI = 0.845-0.850). In the validation dataset, the AUC was 0.848 (95%CI = 0.844-0.852), the standardized mortality ratio (SMR) was 1.00 (95%CI = 0.98-1.02), and Brier's score for 30-day mortality was 0.058 (95%CI = 0.057-0.059). CISSS calibration was acceptable.

CONCLUSIONS

CISSS has very good performance and requires only commonly used variables that can be easily extracted by electronic health records.

ICU Recovery Clinic Attendance, Attrition, and Patient Outcomes: The Impact of Severity of Illness, Gender, and Rurality

Supplemental Digital Content is available in the text.

Objectives:

The primary purpose is to characterize patients attending ICU recovery clinic and then describe their trajectory of cognitive and emotional health in 1 year.

Design:

Retrospective observational study to assess attendance, attrition, and patient outcomes.

Setting:

ICU Recovery Clinic.

Patients:

Adult patients recently admitted to ICU for sepsis or acute respiratory failure and who were referred to clinic.

Interventions:

None.

Measurements and Main Results:

Thirty-eight patients (63%) attended ICU recovery clinic with a mean age of 53.2 ± 16 years (range, 20–82 yr), 42% female and mean Sequential Organ Failure Assessment scores at an ICU admission of 9.4 ± 2.9 participated in outcomes. Twelve patients (32%) were lost to follow up and 12 patients (32%) were transferred to different providers before the end of 1 year. Sequential Organ Failure Assessment scores were negatively associated with health-related quality of life at baseline (r = –0.41; p = 0.033; n = 28) and short term (r = –0.40; p = 0.037; n = 27). Male patients had higher Sequential Organ Failure Assessment scores (mean difference = 2.4; t = 2.779; p = 0.008) and longer hospital length of stay (mean difference = 9.3; t = 2.27; p = 0.029). Female patients had higher scores on Hospital Anxiety and Depression Scale (mean difference = 7.2; t = 2.74; p = 0.01) and Impact of Events Scale-Revised (mean difference = 18.9; t = 2.74; p = 0.011) at the initial follow-up visit. Patients never attending clinic were more likely to live further away, have a tracheotomy, and spent longer time in the ICU.

Conclusions:

Attendance and attrition in ICU recovery clinic are related to patient factors (living in rural area) and ICU factors. Data suggest different recovery trajectories exist based on gender, severity of illness, and self-reported outcomes.

Approaches to Addressing Post-Intensive Care Syndrome among Intensive Care Unit Survivors. A Narrative Review

Critical illness can be lethal and devastating to survivors. Improvements in acute care have increased the number of intensive care unit (ICU) survivors. These survivors confront a range of new or worsened health states that collectively are commonly denominated post-intensive care syndrome (PICS). These problems include physical, cognitive, psychological, and existential aspects, among others. Burgeoning interest in improving long-term outcomes for ICU survivors has driven an array of potential interventions to improve outcomes associated with PICS. To date, the most promising interventions appear to relate to very early physical rehabilitation. Late interventions within aftercare and recovery clinics have yielded mixed results, although experience in heart failure programs suggests the possibility that very early case management interventions may help improve intermediate-term outcomes, including mortality and hospital readmission. Predictive models have tended to underperform, complicating study design and clinical referral. The complexity of the health states associated with PICS suggests that careful and rigorous evaluation of multidisciplinary, multimodality interventions-tied to the specific conditions of interest-will be required to address these important problems.

Medical Malpractice Claims Involving Physicians in the Intensive Care Unit: A Cohort Study

BACKGROUND

The intensive care unit (ICU) is a fast-paced setting, in which physicians from different specialties work. The goal of this study is to understand whether characteristics of medical malpractice claims occurring in the ICU differ by physician specialty.

METHODS

A retrospective cohort study was performed using a national database called the Comparative Benchmarking System, which is operated by Harvard's malpractice insurer. Claims were included if the harm events occurred in the ICU and closed between 2007-2016. Claims were analyzed according to physician specialty of the "primary responsible provider," which was the physician most directly involved in the harm event. Patient-, provider- and claim-level characteristics were compared among the 6 most common physician specialties that were identified as "primary responsible provider." Multivariable regression was performed to identify factors associated with claim payment.

RESULTS

Of 54,772 claims, 1,113 resulted from harm events in the ICU, of which 843 involved the following physician specialties: internal medicine (305), cardiology (163), pulmonary medicine (149), general surgery (98), neurology (97) and anesthesia (31). The minority of claims across physician specialties originated in academic medical centers (<30%). The most common severity of harm was death (Range 42-72%, P = 0.0001). The frequency with which claims involved procedures varied by physician specialty (Range 24-84%, P < 0.0001). The 3 most common contributing factors (patient assessment, selection/management of therapies and communication among providers) did not differ by physician specialty. In multivariable regression, claims that were procedure-related were statistically more likely to result in payment (Odds Ratio 2.29, 95% Confidence Interval 1.64-3.20), after adjusting for physician specialty.

CONCLUSIONS

There were few unexpected differences in malpractice claims occurring in the ICU by physician specialty. Prevention efforts could focus on procedures, regardless of physician specialty, including: 1) maintaining procedural skills, 2) framing procedural risks well and 3) accurately describing procedural complications after they happen.

Doing time in an Australian ICU; the experience and environment from the perspective of patients and family members

BACKGROUND

The intensive care environment and experiences during admission can negatively impact patient and family outcomes and can complicate recovery both in hospital and after discharge. While their perspectives based on intimate experiences of the environment could help inform design improvements, patients and their families are typically not involved in design processes. Rather than designing the environment around the needs of the patients, emphasis has traditionally been placed on clinical and economic efficiencies.

OBJECTIVE

The main objective was to inform design of an optimised intensive care bedspace by developing an understanding of how patients and their families experience the intensive care environment and its impact on recovery.

METHODS

A qualitative descriptive study was conducted with data collected in interviews with 17 intensive care patients and seven family members at a large cardiothoracic specialist hospital, analysed using a framework approach.

RESULTS

Participants described the intensive care as a noisy, bright, confronting and scary environment that prevented sleep and was suboptimal for recovery. Bedspaces were described as small and cluttered, with limited access to natural light or cognitive stimulation. The limited ability to personalise the environment and maintain connections with family and the outside world was considered especially problematic.

CONCLUSIONS

Intensive care patients described features of the current environment they considered problematic and potentially hindering their recovery. The perspective of patients and their families can be utilised by researchers and developers to improve the design and function of the intensive care environment. This can potentially improve patient outcomes and help deliver more personalised and effective care to this vulnerable patient population and their families.

Core outcomes sets for studies evaluating critical illness and patient recovery

PURPOSE OF REVIEW

Given the growing body of critical care clinical research publications, core outcome sets (COSs) are important to help mitigate heterogeneity in outcomes assessed and measurement instruments used, and have potential to reduce research waste. This article provides an update on COS projects in critical care medicine, and related resources and tools for COS developers.

RECENT FINDINGS

We identified 28 unique COS projects, of which 15 have published results as of May 2020. COS topics relevant to critical care medicine include mechanical ventilation, cardiology, stroke, rehabilitation, and long-term outcomes (LTOs) after critical illness. There are four COS projects for coronavirus disease 2019 (COVID-19), with a 'meta-COS' summarizing common outcomes across these projects. To help facilitate COS development, there are existing resources, standards, guidelines, and tools available from the Core Outcome Measures in Effectiveness Trials Initiative (www.comet-initiative.org/) and the National Institutes of Health-funded Improve LTO project (www.improvelto.com/).

SUMMARY

Many COS projects have been completed in critical care, with more on-going COS projects, including foci from across the spectrum of acute critical care, COVID-19, critical care rehabilitation, and patient recovery and LTOs. Extensive resources are accessible to help facilitate rigorous COS development.

Impact of an early mobilization protocol on outcomes in trauma patients admitted to the intensive care unit: A retrospective pre-post study

BACKGROUND

Prolonged immobility has detrimental consequences for critically ill patients admitted to the intensive care unit (ICU). Previous work has shown that early mobilization of ICU patients is a safe, feasible and effective strategy to improve outcomes; however, few of these studies focused on trauma ICU patients. Our objective was to assess the impact of implementing an ICU early mobilization protocol (EMP) on trauma outcomes.

METHODS

We conducted a retrospective pre-post study of adult trauma patients (>18 years old) admitted to ICU at a Level I trauma center over a 2-year period prior to and following EMP implementation, allowing for a 1-year transition period. Data were collected from the Nova Scotia Trauma Registry. We compared outcomes (mortality, length of stay [LOS], ventilator-free days) between patients admitted during pre-EMP and post-EMP periods, and assessed for factors associated with outcomes using binary logistic regression and generalized linear models.

RESULTS

Overall, 526 patients were included in the analysis (292 pre-EMP, 234 post-EMP). Ages ranged from 18 years to 92 years (mean, 49.0 ± 20.4 years) and 74.3% were men. The post-EMP group had lower ICU mortality (21.6% vs. 12.8%; p = 0.009) and in-hospital mortality (25.3% vs. 17.5%; p = 0.031). After controlling for confounders, patients in the post-EMP group were less likely to die in the ICU (odds ratio, 0.43; 95% confidence interval, 0.24-0.79; p = 0.006) or in-hospital (odds ratio, 0.55; 95% confidence interval; 0.32-0.94; p = 0.03). In-hospital LOS, ICU LOS, ICU-free days, and number of ventilator-free days were similar between the two groups.

CONCLUSION

Trauma patients admitted to ICU during the post-EMP period had decreased odds of ICU mortality and in-hospital mortality. This is the first study to demonstrate a significant reduction in trauma mortality following implementation of an ICU mobility protocol.

LEVEL OF EVIDENCE

Therapeutic, level III.

Occupational Therapy in the ICU: A Scoping Review of 221 Documents

OBJECTIVES

Occupational therapists have specialized expertise to enable people to perform meaningful "occupations" that support health, well-being, and participation in life roles. Given the physical, cognitive, and psychologic disability experienced by ICU survivors, occupational therapists could play an important role in their recovery. We conducted a scoping review to determine the state of knowledge of interventions delivered by occupational therapists in adult ICU patients.

DATA SOURCES

Eight electronic databases from inception to 05/2018.

STUDY SELECTION

We included reports of adult patients receiving direct patient care from an occupational therapist in the ICU, all study designs, and quantitative and qualitative traditions.

DATA EXTRACTION

Independently in duplicate, interprofessional team members screened titles, abstracts, and full texts and extracted report and intervention characteristics. From original research articles, we also extracted study design, number of patients, and primary outcomes. We resolved disagreements by consensus.

DATA SYNTHESIS

Of 50,700 citations, 221 reports met inclusion criteria, 74 (79%) published after 2010, and 125 (56%) appeared in critical care journals. The three most commonly reported types of interventions were mobility (81%), physical rehabilitation (61%), and activities of daily living (31%). We identified 46 unique original research studies of occupational therapy interventions; the most common study research design was before-after studies (33%).

CONCLUSIONS

The role of occupational therapists in ICU rehabilitation is not currently well established. Current interventions in the ICU are dominated by physical rehabilitation with a growing role in communication and delirium prevention and care. Given the diverse needs of ICU patients and the scope of occupational therapy, there could be an opportunities for occupational therapists to expand their role and spearhead original research investigating an enriched breadth of ICU interventions.

Impact of Critical Illness on Resource Utilization: A Comparison of Use in the Year Before and After ICU Admission

Supplemental Digital Content is available in the text.

Increasingly, patients admitted to an ICU survive to hospital discharge; many with ongoing medical needs. The full impact of an ICU admission on an individual’s resource utilization and survivorship trajectory in the United States is not clear. We sought to compare healthcare utilization among ICU survivors in each year surrounding an ICU admission.

Delayed versus early initiation of renal replacement therapy for severe acute kidney injury: a systematic review and individual patient data meta-analysis of randomised clinical trials

BACKGROUND

The timing of renal replacement therapy (RRT) for severe acute kidney injury is highly debated when no life-threatening complications are present. We assessed whether a strategy of delayed versus early RRT initiation affects 28-day survival in critically ill adults with severe acute kidney injury.

METHODS

In this systematic review and individual patient data meta-analysis, we searched MEDLINE (via PubMed), Embase, and the Cochrane Central Register of Controlled Trials for randomised trials published from April 1, 2008, to Dec 20, 2019, that compared delayed and early RRT initiation strategies in patients with severe acute kidney injury. Trials were eligible for inclusion if they included critically ill patients aged 18 years or older with acute kidney injury (defined as a Kidney Disease: Improving Global Outcomes [KDIGO] acute kidney injury stage 2 or 3, or, where KDIGO was unavailable, a renal Sequential Organ Failure Assessment score of 3 or higher). We contacted the principal investigator of each eligible trial to request individual patient data. From the included trials, any patients without acute kidney injury or who were not randomly allocated were not included in the individual patient data meta-analysis. The primary outcome was all-cause mortality at day 28 after randomisation. This study is registered with PROSPERO (CRD42019125025).

FINDINGS

Among the 1031 studies identified, one study that met the eligibility criteria was excluded because the recruitment period was not recent enough, and ten (including 2143 patients) were included in the analysis. Individual patient data were available for nine studies (2083 patients), from which 1879 patients had severe acute kidney injury and were randomly allocated: 946 (50%) to the delayed RRT group and 933 (50%) to the early RRT group. 390 (42%) of 929 patients allocated to the delayed RRT group and who had available data did not receive RRT. The proportion of patients who died by day 28 did not significantly differ between the delayed RRT group (366 [44%] of 837) and the early RRT group (355 [43%] of 827; risk ratio 1·01 [95% CI 0·91 to 1·13], p=0·80), corresponding to an overall risk difference of 0·01 (95% CI -0·04 to 0·06). There was no heterogeneity across studies (I²=0%; τ²=0), and most studies had a low risk of bias.

INTERPRETATION

The timing of RRT initiation does not affect survival in critically ill patients with severe acute kidney injury in the absence of urgent indications for RRT. Delaying RRT initiation, with close patient monitoring, might lead to a reduced use of RRT, thereby saving health resources.

FUNDING

None.

Nurses' contribution to end-of-life family conferences in critical care: A Delphi study

BACKGROUND

Family conferences (FCs) in the intensive care unit play an important role in reducing the psychological burden of patients' families at the end of life. However, no studies have clarified the specific roles and contributions of nurses related to FCs for terminally ill patients in critical care and their families.

AIMS AND OBJECTIVES

To clarify nurses' contribution to FCs for terminally ill patients in critical care and their families and examine the priority of each item.

DESIGN

A modified Delphi method was used.

METHODS

This study consisted of two phases. In phase 1, an initial list was developed based on a literature review, individual interviews, and a focus group interview. Phase 2 involved two rounds of the Delphi survey. Practitioners (N = 55) from hospitals across Japan were recruited to the Expert Panel for phase 2. They were asked to rate each nurse's contribution in terms of its importance using a 9-point Likert scale (1 being "not important at all" to 9 being "very important"). Fifty participants responded to round 1 of the survey, and 46 participants completed round 2. If at least 80% of the panellists chose an importance level of 7 or higher, the item was considered "important".

RESULTS

The 65 items of the potential list were classified into three domains: preparation (16 items), discussion and facilitating meaning during a FC (32 items), and follow up after a FC (17 items). The expert panel determined that, of 65 items, 49 items on the proposed list of nurses' contribution were considered important.

CONCLUSIONS

This study clarified nurses' contribution to FCs, with consensus on their importance by expert nurses.

RELEVANCE TO CLINICAL PRACTICE

This study could be useful for improving and ensuring the quality of nurses' contribution to FCs and promoting collaboration between nurses and other medical professionals.

Hospitalizations Involving an Intensive Care Unit Admission Among Patients Aged 65 Years and Older Within New York City Hospitals During 2000-2014

OBJECTIVE

To describe hospitalizations involving an intensive care unit (ICU) admission among patients aged 65 years and older within New York City (NYC) hospitals during 2000-2014.

DESIGN

Observational study using an all-payer hospital discharge dataset.

SETTING

The setting was in NYC hospitals.

PATIENTS

Patients aged 65 years and older admitted to an ICU within a NYC hospital during 2000-2014.

INTERVENTIONS

No interventions were carried out.

MEASUREMENTS AND MAIN RESULTS

We calculated the mean annual number of hospitalizations involving an ICU admission. We also examined characteristics of hospitalizations, including the occurrence of in-hospital death and principal diagnosis. There were 5,338,577 hospitalizations of patients aged ≥65 years within NYC hospitals during 2000-2014, of which 765,084 (14.3%) involved an ICU admission. The mean annual number of hospitalizations involving an ICU admission for this age group decreased from 57,938 during 2000-2002 to 45,785 during 2012-2014. The proportion of hospitalizations involving an ICU admission in which in-hospital death occurred decreased from 15.9% during 2000-2002 to 14.5% during 2012-2014. During 2000-2002, 11.6% of hospitalizations involving an ICU admission listed an "infectious" principal diagnosis, increasing to 20.7% during 2012-2014. Listing of a "cardiovascular" principal diagnosis decreased from 46.4% to 33.4% between these time periods. "Infectious" principal diagnoses accounted for 31.0% of all hospitalizations involving an ICU admission in which in-hospital death occurred during the entire study period, while "cardiovascular" principal diagnoses accounted for 21.3%.

CONCLUSIONS

This investigation provides a clearer understanding of ICU utilization among patients aged 65 years and older in NYC. Ongoing monitoring is warranted given projections that the proportion of New Yorkers aged 65 years and older will increase in coming years. In particular, in light of the observed increase of infectious principal diagnoses during the study period, further investigation is needed into the role of infectious disease in causing critical illness in NYC.

Analysis of adult disease characteristics and mortality on MIMIC-III

Purpose

To deeply analyze the basic information and disease information of adult patients in the MIMIC-III (Medical Information Mart for Intensive Care III) database, and provide data reference for clinicians and researchers.

Materials and methods

Tableau2019.1.0 and Navicat12.0.29 were used for data analysis and extraction of disease distribution of adult patients in the MIMIC-III database.

Result

A total of 38,163 adult patients were included in the MIMIC-III database. Only 38,156 patients with the first diagnosis were selected. Among them, 21,598 were males accounting for 56.6% the median age was 66 years (Q1-Q3: 53–78), the median length of a hospital stay was 7 days (Q1-Q3: 4–12), and the median length of an ICU stay was 2.1 days (Q1-Q3: 1.2–4.1). Septicemia was the disease with the highest mortality rate among patients and the total mortality rate was 48.9%. The disease with the largest number of patients at the last time was other forms of chronic ischemic heart disease.

Conclusion

By analyzing the patients’ basic information, the admission spectrum and the disease morbidity and mortality can help more researchers understand the MIMIC-III database and facilitate further research.

Gene Expression Patterns Distinguish Mortality Risk in Patients with Postsurgical Shock

Nowadays, mortality rates in intensive care units are the highest of all hospital units. However, there is not a reliable prognostic system to predict the likelihood of death in patients with postsurgical shock. Thus, the aim of the present work is to obtain a gene expression signature to distinguish the low and high risk of death in postsurgical shock patients. In this sense, mRNA levels were evaluated by microarray on a discovery cohort to select the most differentially expressed genes between surviving and non-surviving groups 30 days after the operation. Selected genes were evaluated by quantitative real-time polymerase chain reaction (qPCR) in a validation cohort to validate the reliability of data. A receiver-operating characteristic analysis with the area under the curve was performed to quantify the sensitivity and specificity for gene expression levels, which were compared with predictions by established risk scales, such as acute physiology and chronic health evaluation (APACHE) and sequential organ failure assessment (SOFA). IL1R2, CD177, RETN, and OLFM4 genes were upregulated in the non-surviving group of the discovery cohort, and their predictive power was confirmed in the validation cohort. This work offers new biomarkers based on transcriptional patterns to classify the postsurgical shock patients according to low and high risk of death. The results present more accuracy than other mortality risk scores.