The impact of comorbid [corrected] conditions on critical illness

Construction and Validation of an Early Warning Model for Predicting the 28-Day Mortality in Sepsis Patients with Chronic Obstructive Pulmonary Disease

Background

In the intensive care unit (ICU), approximately 45.6% of patients diagnosed with chronic obstructive pulmonary disease (COPD) also presented with sepsis, and this cohort exhibited a significantly higher 28-day mortality rate compared to sepsis patients without COPD (23.6% versus 16.4%). A novel nomogram is necessary to predict the risk of mortality within 28 days for sepsis patients with COPD.

Methods

Clinical data from 501 sepsis patients with COPD were sourced from the MIMIC-IV database. These data were randomly allocated into a training cohort and a validation cohort in a 3:1 ratio. Independent predictors of 28-day mortality were identified through both univariate and multivariate logistic regression analyses. Subsequently, a nomogram model was developed, and its performance was assessed using receiver operating characteristic (ROC) curve analysis, calibration plots, and decision curve analysis.

Results

The 28-day mortality rates in the training and validation cohorts were 32.7% and 27.2%, respectively. Multivariate regression analysis identified age, heart rate (HR), respiratory rate (RR), blood urea nitrogen (BUN), creatinine (Cr), lactate levels, pH, and urine output as independent risk factors for 28-day mortality in sepsis patients with COPD. Furthermore, the nomogram demonstrated superior predictive performance, with an area under the curve (AUC) of 0.784 for the training group and 0.689 for the validation group.

Conclusion

This nomogram integrates laboratory indicators pertinent to the patient's metabolic status, hypoxia status, and organ function, thereby enhancing the accuracy of early prediction of 28-day mortality in sepsis patients with COPD. Additionally, the model's comparative advantage over existing scoring systems (eg, SOFA) would enhance its impact. Our findings hold substantial implications for early prognostic assessment and clinical decision-making in this patient population. Therefore, earlier diagnosis within 24 hours of admission and proper identification of high-risk patients may reduce disease-related mortality by promoting timely treatment.

XueBiJing injection reduced mortality in sepsis patients with diabetes

Introduction

Sepsis patients with diabetes are at a high clinical risk. It is well reported that XueBiJing injection has good clinical benefit in sepsis individuals. However, there is no relevant report about the efficacy and safety of XBJ in sepsis patients with comorbid diabetes.

Methods

Data of two large randomized controlled clinical trials (XBJ-SAP (ChiCTR-TRC-13003534) and EXIT-SEP (NCT0323874)) were combined, and post hoc analyses were performed. Sepsis patients with diabetes were further divided into the XBJ-treated group and placebo group based on inclusion and exclusion criteria. The primary (28-day mortality) and secondary outcomes (mortality in the ICU and in the post-randomization hospital, acute physiology, and chronic health evaluation II (APACHE II) score and sequential organ failure assessment (SOFA) score) were compared between the XBJ treatment and placebo groups in sepsis patients with the diabetes status at baseline. Moreover, the occurrence of adverse events (AEs) was also assessed.

Results

At the study baseline, a total of 378 sepsis patients (227 men [60.0%] and 151 women [40.0%]; mean [SD] age, 60.3 [11.1] years) were considered to have diabetes, of which 177 received XBJ and 201 received placebo administration. Among these sepsis patients with diabetes, the mortality at 28 days was significantly lower in the XBJ group than in the placebo group (29 of 173 patients [16.8%] vs. 56 of 198 patients [28.3%], P = 0.01), and the absolute risk difference was 11.5% (95% CI, 3.1%-19.9%). Furthermore, there was no difference in the overall incidence of adverse events (AEs) when XBJ was used (24.4% [42 of 172 patients] vs. 27.7% [54 of 195 patients].

Discussion

The present study underscores the pivotal role of XBJ in modulating the immune response among sepsis patients suffering from diabetes mellitus, exploring the positive effects of XBJ on sepsis patients with diabetes mellitus. The efficacy and safety of XBJ compared with those of the placebo were consistent with the overall trial findings, demonstrating that XBJ is efficacious in sepsis patients with diabetes and suggesting that there is no need for special safety precautions.

Trial Registration Identifier

ChiCTR-TRC-13003534 and NCT0323874.

Major psychiatric comorbidity among the critically ill: a multi-centred cohort study in Queensland

BACKGROUND

Although comorbid medical diseases are important determinants of outcome among the critically ill, the role of psychiatric comorbidity is not well defined. The objective of this study was to determine the occurrence of psychiatric comorbidity and its effect on the outcome of patients admitted to adult intensive care units (ICU) in Queensland.

METHODS

Admissions among adults to 12 ICUs in Queensland during 2015-2021 were included and clinical and outcome information was obtained through linkages between the ANZICS Adult Patient Database, the state-wide Queensland Hospital Admitted Patient Data Collection, and death registry.

RESULTS

A total of 89,123 admissions were included among 74,513 individuals. Overall, 7,178 (8.1%) admissions had psychiatric co-morbidity with 6,270 (7.0%) having one major psychiatric diagnosis and 908 (1%) having two or more. Individual diagnoses of mood, psychotic, anxiety, or affective disorders were present in 1,801 (2.0%), 874 (1.0%), 3,241 (3.6%) and 354 (0.4%) admissions respectively. Significant differences were observed among the main groups (mood, affective, anxiety, psychotic, or multiple disorders) and those without psychiatric comorbidity with respect to main diagnosis, Acute Physiology and Chronic Health Evaluation (APACHE II) score, sex, age, and medical comorbidity. Crude 30-day case-fatality rates were significantly lower (5.1%) compared to the general ICU population (10.1%) (p < 0.001). After controlling for confounding variables in the logistic regression model, patients with psychiatric comorbidity were at lower odds of death.

CONCLUSIONS

Psychiatric comorbidity is common among ICU presentations and is associated with a lower risk of death. This association is likely to be more complex than being a simple protective factor, and future research needs to further delineate how psychiatric comorbidity informs outcomes of specific ICU presentations.

Comparing Outcomes and Infection Risk in Medical, Surgical, and Trauma Intensive Care Patients with Alcohol Use Disorder

Introduction: Alcohol is the most frequently abused drug in the United States, and alcohol use disorder (AUD) is a common comorbidity in intensive care units (ICUs). Patients and Methods: We performed a retrospective chart review of patients admitted to an ICU between January 2017 and March 2019 at a tertiary hospital serving a large rural population. Patients with diagnoses of AUDs were included. Patients were excluded if they did not require ICU care. Patient demographics, hospital course, infection type, culture results, and mortality were evaluated. We compared medical, surgical, and trauma ICU patient outcomes and infections. Results: In total, 527 patients met inclusion and exclusion criteria. Trauma ICU patients had the least pre-existing comorbidities, and surgical ICU patients had the longest lengths of stay. There was no difference in in-hospital mortality between ICU groups; however, surgical and medical ICU patients had significantly greater rates of in-hospital mortality compared with trauma ICU patients. Infections were common across all ICU types, occurring in 40% of patients. There was no difference in infection rate between ICU types. In multi-variable analysis controlling for age, gender, liver failure, chronic kidney disease, thrombocytopenia, complications, and blood transfusions, infection remained an independent predictor of in-hospital mortality (adjusted odds ratio 3.3, 95% confidence interval 1.7-6.4). Septic shock occurred in 57% of infections and was associated with an increased risk of mortality (38% vs. 2%, p < 0.001). Pneumonia was the most common infection occurring in 28% of the cohort, followed by bacteremia (7%), skin/soft tissue infections (6%), urinary tract infection (5%), intra-abdominal infections (4%), and C. difficile (2%). Conclusions: AUDs in all types of ICU patients are associated with high rates of infections and high morbidity and mortality.

Assessment of disease pattern and drug utilization among neurology intensive care unit patients in a developing country: an observational analysis

OBJECTIVE

This study aimed to assess the disease pattern and drug utilization among admitted patients in a tertiary-care hospital's neurology intensive care unit (neuro ICU).

METHODS

A prospective observational cohort study was conducted between August 2022 and January 2023. Patients of any age and gender admitted to the neuro ICU were included, but those who declined to participate were excluded. Demographics, clinical, and medication details were consistently gathered and maintained until discharge. The World Health Organization (WHO)/International Network of Rational Use of Drugs (INRUD) prescribing indicators and the Anatomical Therapeutic Chemical (ATC) classification/Defined Daily Dose (DDD) system were used to evaluate drug use.

RESULTS

A total of 516 patients were included, predominantly male (65.1%), with an average age of 54.62 ± 15.02 years. The most common diagnosis was stroke [72.3%, comprised of hemorrhagic (46.7%) and ischemic (25.6%)], followed by seizure disorders (6.6%), and central nervous system infections (5.4%). Patients received an average of 7.8 medications, 32.3% prescribed by generic name, 16.0% antibiotics, 74.1% injections, and 100% essential drugs. A (28.5%), C (19.2%), N (17.3%), J (19.2%), B (13.5%), and R (2.3%) were commonly prescribed ATC classes of medications. Number of DDDs was maximum for pantoprazole and furosemide. Based on discharged status, 41.0% were discharged on request, 24.8% against medical advice, 23.8% routine, and 10.2% mortality during hospitalization.

CONCLUSION

Our study reveals a high prevalence of hemorrhagic stroke, especially among men, diverging from global ischemic stroke trends. Irregular hypertension treatment is the primary cause, exacerbated by low healthcare knowledge in rural areas, where patients often discharge on request, probably due to poor socio-economic conditions. Urgent public awareness campaigns and further research are needed to address this elevated hemorrhagic stroke incidence.

Prevalence and outcomes of chronic comorbid conditions in patients with sepsis in Korea: a nationwide cohort study from 2011 to 2016

BACKGROUND

Chronic comorbid conditions are common in patients with sepsis and may affect the outcomes. This study aimed to evaluate the prevalence and outcomes of common comorbidities in patients with sepsis.

METHODS

We conducted a nationwide retrospective cohort study. Using data from the National Health Insurance Service of Korea. Adult patients (age ≥ 18 years) who were hospitalized in tertiary or general hospitals with a diagnosis of sepsis between 2011 and 2016 were analyzed. After screening of all International Classification of Diseases 10th revision codes for comorbidities, we identified hypertension, diabetes mellitus (DM), liver cirrhosis (LC), chronic kidney disease (CKD), and malignancy as prevalent comorbidities.

RESULTS

Overall, 373,539 patients diagnosed with sepsis were hospitalized in Korea between 2011 and 2016. Among them, 46.7% had hypertension, 23.6% had DM, 7.4% had LC, 13.7% had CKD, and 30.7% had malignancy. In-hospital mortality rates for patients with hypertension, DM, LC, CKD, and malignancy were 25.5%, 25.2%, 34.5%, 28.0%, and 33.3%, respectively, showing a decreasing trend over time (P < 0.001). After adjusting for baseline characteristics, male sex, older age, use of mechanical ventilation, and continuous renal replacement therapy, LC, CKD, and malignancy were significantly associated with in-hospital mortality.

CONCLUSIONS

Hypertension is the most prevalent comorbidity in patients with sepsis, and it is associated with an increased survival rate. Additionally, liver cirrhosis, chronic kidney disease, and malignancy result in higher mortality rates than hypertension and DM, and are significant risk factors for in-hospital mortality in patients with sepsis.

Association between chronic obstructive pulmonary disease and 28-day mortality in patients with sepsis: a retrospective study based on the MIMIC-III database

BACKGROUND

Sepsis is a common cause of mortality in critically ill patients, and chronic obstructive pulmonary disease (COPD) is one of the most common comorbidities in septic patients. However, the impact of COPD on patients with sepsis remained unclear. Therefore, the purpose of this study aimed to assess the effect of COPD on the prognosis of septic patients based on Medical Information Mart for Intensive Care (MIMIC-III) database.

METHODS

In this retrospective study based on the (MIMIC)-III database version 1.4 (v1.4), we collected clinical data and 28-day all-cause mortality from patients with sepsis in intensive care unit (ICU) and these patients met the diagnostic criteria of Sepsis 3 on ICU admission between 2008 and 2012. International Classification of Diseases (ICD-9) (4660, 490, 4910, 4911, 49120, 49121, 4918, 4919, 4920, 4928, 494, 4940, 4941, 496) was used to identified COPD. We applied Kaplan-Meier analysis to compare difference of 28-day all-cause mortality between septic patients with and without COPD. Cox proportional-hazards model was applied to explore the risk factor associated with 28-day all-cause mortality in patients with sepsis.

RESULTS

Six thousand two hundred fifty seven patients with sepsis were included in this study, including 955 (15.3%) patients with COPD and 5302 patients without COPD (84.7%). Compared with patients without COPD, patients with COPD were older (median: 73.5 [64.4, 82.0] vs 65.8 [52.9, 79.1], P < 0.001), had higher simplified acute physiology score II (SAPSII) (median: 40.0 [33.0, 49.0] vs 38.0 [29.0,47.0], P < 0.001) and greater proportion of mechanical ventilatory support (MV) (55.0% vs 48.9%, P = 0.001). In our study, septic patients with COPD had higher 28-day all-cause mortality (23.6% vs 16.4%, P < 0.001) than patients without COPD. After adjusting for covariates, the results showed that COPD was an independent risk factor for the 28-day all-cause mortality of patients with sepsis (HR 1.30, 95%CI: 1.12-1.50, P = 0.001).

CONCLUSIONS

COPD was an independent risk factor of 28-day all-cause mortality in septic patients. Clinically, septic patients with COPD should be given additional care.

Muscle strength and mobility of individuals with COVID-19 compared with non-COVID-19 in intensive care

BACKGROUND

Critical illness may affect muscle strength and mobility.

OBJECTIVES

To compare muscle strength, mobility, and in intensive care unit (ICU)-acquired weakness (ICUAW) prevalence among individuals with COVID-19 and other critical illnesses; to identify factors associated with muscle strength, mobility, and length of stay in COVID-19; and to determine the Perme Intensive Care Unit Mobility Score (PICUMS) cut-off point for ICUAW.

METHODS

We included individuals aged ≥18 in ICU who require mechanical ventilation. We excluded those diagnosed with neuromusculoskeletal diseases or who did not understand the study procedures. The Medical Research Council - sum score (MRC-SS) and the PICUMS were applied before ICU and hospital discharge. Analysis of covariance, Quade´s test, and Fisher's exact test compared groups. Partial correlations were analized between the MRC-SS and PICUMS with clinical variables. Regression models identified the predictors of hospital length of stay. The ROC curve verified the PICUMS related to ICUAW. Significance was set as P<.05.

RESULTS

25 individuals were included in the COVID-19 group and 23 in the non-COVID-19 group. No between-groups difference was observed in MRC-SS and PICUMS at discharge from ICU or hospital. The MRC-SS and PICUMS at ICU discharge predicted the length of hospital stay in the COVID-19 group. The PICUMS cut-off related to ICUAW was 18.

CONCLUSIONS

Muscle strength, mobility, and ICUAW are similar between COVID-19 and non-COVID-19. However, muscle strength and mobility at ICU discharge are associated with the length of stay during COVID-19. A PICUMS<18 at ICU discharge may indicate impaired physical functioning due to ICUAW.

IDENTIFICATION OF SUBPHENOTYPES OF SEPSIS-ASSOCIATED LIVER DYSFUNCTION USING CLUSTER ANALYSIS

ABSTRACT

Objectives: We attempted to identify and validate the subphenotypes of sepsis-associated liver dysfunction (SALD) using routine clinical information. Design: This article is a retrospective observational cohort study. Setting: We used the Medical Information Mart for Intensive Care IV database and the eICU Collaborative Research Database. Patients: We included adult patients (age ≥18 years) who developed SALD within the first 48 hours of intensive care unit (ICU) admission. We excluded patients who died or were discharged from the ICU within the first 48 hours of admission. Patients with abnormal liver function before ICU admission were also excluded. Measurements and Main Results: Patients in the MIMIC-IV 1.0 database served as a derivation cohort. Patients in the eICU database were used as validation cohort. We identified four subphenotypes of SALD (subphenotype α, β, γ, δ) using K-means cluster analysis in 5234 patients in derivation cohort. The baseline characteristics and clinical outcomes were compared between the phenotypes using one-way analysis of variance/Kruskal-Wallis test and the χ 2 test. Moreover, we used line charts to illustrate the trend of liver function parameters over 14 days after ICU admission. Subphenotype α (n = 1,055) was the most severe cluster, characterized by shock with multiple organ dysfunction (MODS) group. Subphenotype β (n = 1,179) had the highest median bilirubin level and the highest proportion of patients with underlying liver disease and coexisting coagulopathy (increased bilirubin group). Subphenotype γ (n = 1,661) was the cluster with the highest mean age and had the highest proportion of patients with chronic kidney disease (aged group). Subphenotype δ (n = 1,683) had the lowest 28-day and in-hospital mortality (mild group). The characteristics of clusters in the validation cohort were similar to those in the derivation cohort. In addition, we were surprised to find that GGT levels in subphenotype δ were significantly higher than in other subphenotypes, showing a different pattern from bilirubin. Conclusions: We identified four subphenotypes of SALD that presented with different clinical features and outcomes. These results can provide a valuable reference for understanding the clinical characteristics and associated outcomes to improve the management of patients with SALD in the ICU.

The magnitude of pediatric mortality and determinant factors in intensive care units in a low-resource country, Ethiopia: a systematic review and meta-analysis

Background

Pediatric mortality after being admitted to a pediatric intensive care unit in Ethiopia is high when compared to high-income countries. There are limited studies regarding pediatric mortality in Ethiopia. This systematic review and meta-analysis aimed to assess the magnitude and predictors of pediatric mortality after being admitted to an intensive care unit in Ethiopia.

Methods

This review was conducted in Ethiopia after retrieving peer-reviewed articles and evaluating their quality using AMSTAR 2 criteria. An electronic database was used as a source of information, including PubMed, Google Scholar, and Africa Journal of Online Databases, using AND/OR Boolean operators. Random effects of the meta-analysis were used to show the pooled mortality of pediatric patients and its predictors. A funnel plot was used to assess the publication bias, and heterogeneity was also checked. The final result were expressed as an overall pooled percentage and odds ratio with a 95% confidence interval (CI) of < 0.05%.

Results

In our review, eight studies were used for the final analysis with a total population of 2,345. The overall pooled mortality of pediatric patients after being admitted to the pediatric intensive care unit was 28.5% (95% CI: 19.06, 37.98). The pooled mortality determinant factors were included the use of a mechanical ventilator with an odds ratio (OR) of 2.64 (95% CI: 1.99, 3.30); the level of Glasgow Coma Scale <8 with an OR of 2.29 (95% CI: 1.38, 3.19); the presence of comorbidity with an OR of 2.18 (95% CI: 1.41, 2.95); and the use of inotropes with an OR of 2.36 (95% CI: 1.65, 3.06).

Conclusion

In our review, the overall pooled mortality of pediatric patients after being admitted to the intensive care unit was high. Particular caution should be taken in patients on the use of mechanical ventilators, the level of Glasgow Coma Scale of <8, the presence of comorbidity, and the use of inotropes.

Systematic review registration

https://www.researchregistry.com/browse-the-registry#registryofsystematicreviewsmeta-analyses/, identifier: 1460.

Effects of Sodium Thiosulfate During Resuscitation From Trauma-and-Hemorrhage in Cystathionine-γ-Lyase Knockout Mice With Diabetes Type 1

Background

Sodium thiosulfate (STS) is a recognized drug with antioxidant and H2S releasing properties. We recently showed that STS attenuated organ dysfunction and injury during resuscitation from trauma-and-hemorrhage in CSE-ko mice, confirming its previously described organ-protective and anti-inflammatory properties. The role of H2S in diabetes mellitus type 1 (DMT1) is controversial: genetic DMT1 impairs H2S biosynthesis, which has been referred to contribute to endothelial dysfunction and cardiomyopathy. In contrast, development and severity of hyperglycemia in streptozotocin(STZ)-induced DMT1 was attenuated in CSE-ko mice. Therefore, we tested the hypothesis whether STS would also exert organ-protective effects in CSE-ko mice with STZ-induced DMT1, similar to our findings in animals without underlying co-morbidity.

Methods

Under short-term anesthesia with sevoflurane and analgesia with buprenorphine CSE-ko mice underwent DMT1-induction by single STZ injection (100 μg⋅g-1). Seven days later, animals underwent blast wave-induced blunt chest trauma and surgical instrumentation followed by 1 h of hemorrhagic shock (MAP 35 ± 5 mmHg). Resuscitation comprised re-transfusion of shed blood, lung-protective mechanical ventilation, fluid resuscitation and continuous i.v. norepinephrine together with either i.v. STS (0.45 mg⋅g-1) or vehicle (n = 9 in each group). Lung mechanics, hemodynamics, gas exchange, acid-base status, stable isotope-based metabolism, and visceral organ function were assessed. Blood and organs were collected for analysis of cytokines, chemokines, and immunoblotting.

Results

Diabetes mellitus type 1 was associated with more severe circulatory shock when compared to our previous study using the same experimental design in CSE-ko mice without co-morbidity. STS did not exert any beneficial therapeutic effect. Most of the parameters measured of the inflammatory response nor the tissue expression of marker proteins of the stress response were affected either.

Conclusion

In contrast to our previous findings in CSE-ko mice without underlying co-morbidity, STS did not exert any beneficial therapeutic effect in mice with STZ-induced DMT1, possibly due to DMT1-related more severe circulatory shock. This result highlights the translational importance of both integrating standard ICU procedures and investigating underlying co-morbidity in animal models of shock research.

An integrative understanding of the large metabolic shifts induced by antibiotics in critical illness

Antibiotics are commonly used in the Intensive Care Unit (ICU); however, several studies showed that the impact of antibiotics to prevent infection, multi-organ failure, and death in the ICU is less clear than their benefit on course of infection in the absence of organ dysfunction. We characterized here the compositional and metabolic changes of the gut microbiome induced by critical illness and antibiotics in a cohort of 75 individuals in conjunction with 2,180 gut microbiome samples representing 16 different diseases. We revealed an "infection-vulnerable" gut microbiome environment present only in critically ill treated with antibiotics (ICU⁺). Feeding of Caenorhabditis elegans with Bifidobacterium animalis and Lactobacillus crispatus, species that expanded in ICU⁺ patients, revealed a significant negative impact of these microbes on host viability and developmental homeostasis. These results suggest that antibiotic administration can dramatically impact essential functional activities in the gut related to immune responses more than critical illness itself, which might explain in part untoward effects of antibiotics in the critically ill.

Admission pattern, treatment outcomes, and associated factors for children admitted to pediatric intensive care unit of Tikur Anbessa specialized hospital, 2021: a retrospective cross-sectional study

Background

Assessement of the pattern of admission and treatment outcomes of critically ill pediatrics admitted to pediatric intensive care units (PICU) in developing countries is crucial. In these countries with resource limitations, it may help to identify priorities for resource mobilization that may improve patient service quality. The PICU mortality rate varies globally, depending on the facilities of the intensive care unit, availability of experties, and admission patterns. This study assessed the admission pattern, treatment outcomes, and associated factors for children admitted to the PICU.

Methods

A retrospective cross-sectional study was implemented on 406 randomly selected pediatrics patients admitted to the PICU of Tikur Anbessa Specialized Hospital from 1-Oct-2018 to 30-Sept-2020. The data were collected with a pretested questionnaire. A normality curve was used to check for data the distribution. Both bivariable and multivariable analyses were used to see association of variables. A variable with a p-value of < 0.2 in the bivariable model was a candidate for multivariate analysis. The strength of association was shown by an adjusted odds ratio (AOR) with a 95% Confidence interval (CI), and a p-value of < 0.05 was considered statistically significant. Frequency, percentage,and tables were used to present the data.

Results

A total of 361 (89% response rate) patient charts were studied, 197 (54.6%) were male, and 164(45.4%) were female. The most common pattern for admission was a septic shock (27.14%), whereas the least common pattern was Asthma 9(2.50%). The mortality rate at the pediatric intensive care unit was 43.8%. Moreover, mechanical ventilation need (AOR = 11.2, 95%CI (4.3–28.9), P < 0.001), need for inotropic agents (AOR = 10.7, 95%CI (4.1–27.8), P < 0.001), comorbidity (AOR =8.4, 95%CI (3.5–20.5), P < 0.001), length of PICU stay from 2 to 7 days (AOR = 7.3, 95%CI (1.7–30.6), P = 0.007) and severe GCS (< 8) (AOR = 10.5, 95%CI (3.8–29.1), P < 0.001) were independent clinical outcome predictors (mortality).

Conclusion

The mortality rate at the PICU was 43.8%. Septic shock, and meningitis were the common cause of death and the largest death has happened in less than 7 days of admission.

Modified Shock Index as an Indicator for Prognosis Among Sepsis Patients With and Without Comorbidities Presenting to the Emergency Department

OBJECTIVES

Modified shock index (MSI) is a simple bedside tool used in the emergency department. There are a few studies suggesting MSI as a good prognostic indicator than shock index in sepsis patients. However, there is not enough research emphasizing the role of MSI in patients with comorbidities. Hence, this study aims to assess the predictive validity of MSI in predicting the prognosis of sepsis patients with and without co-morbidities.

METHODS

From January to December 2020, a prospective observational study was conducted in a tertiary care teaching hospital. Patients with sepsis diagnosed based on systemic inflammatory response syndrome criteria and quick sequential organ failure assessment (qSOFA) were included. The need for mechanical ventilation and step down from the intensive care unit were outcome variables, MSI was considered as a predictor variable, and co-morbidities as an explanatory variable.

RESULTS

Among people with co-morbidities, the MSI value on arrival to the emergency department had fair predictive validity in predicting the need for mechanical ventilation after 24 hours, as indicated by the area under the curve of 0.749 (95% CI: 0.600-0.897; p-value = 0.002) and a sensitivity of 68.75% in predicting mechanical ventilation after 24 hours (MSI ≥ 1.59). Among people without co-morbidities, the MSI value on arrival to the emergency department had fair predictive validity in predicting the need for mechanical ventilation after 24 hours, as indicated by the area under the curve of 0.879 (95% CI: 0.770-0.988; p-value <0.001) and a sensitivity of 83.33% in predicting the need for mechanical ventilation after 24 hours (MSI ≥ 1.67).

CONCLUSION

MSI can be used as an indicator in predicting the prognosis of sepsis patients in the emergency department. A simple bedside calculation of the MSI can indicate the need for mechanical ventilation and step down from the intensive care unit after 24 hours in patients with co-morbidities and without co-morbidities.

Association between comorbid asthma and prognosis of critically ill patients with severe sepsis: a cohort study

Basic research suggests some contributing mechanisms underlying asthma might at the same time benefit patients with asthma against sepsis, while the potential protective effect of comorbid asthma on prognosis of sepsis has not been well studied in clinical research. The study aimed to assess the association between comorbid asthma and prognosis in a cohort of patients admitted to intensive care unit (ICU) with severe sepsis. Patients with severe sepsis admitted to ICUs were included from the MIMIC-III Critical Care Database, and categorized as patients without asthma, patients with stable asthma, and patients with acute exacerbation asthma. The primary study outcome was 28-day mortality since ICU admission. Difference in survival distributions among groups were evaluated by Kaplan–Meier estimator. Multivariable Cox regression was employed to examine the association between comorbid asthma and prognosis. A total of 2469 patients with severe sepsis were included, of which 2327 (94.25%) were without asthma, 125 (5.06%) with stable asthma, and 17 (0.69%) with acute exacerbation asthma. Compared with patients without asthma, patients with asthma (either stable or not) had a slightly younger age (66.73 ± 16.32 versus 64.77 ± 14.81 years), a lower proportion of male sex (56.81% versus 40.14%), and a lower median SAPS II score (46 versus 43). Patients with acute exacerbation asthma saw the highest 28-day mortality rate (35.29%), but patients with stable asthma had the lowest 28-day mortality rate (21.60%) when compared to that (34.42%) in patients without asthma. Consistent results were observed in Kaplan–Meier curves with a p-value for log-rank test of 0.016. After adjusting for potential confounding, compared to being without asthma, being with stable asthma was associated with a reduced risk of 28-day mortality (hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.44–0.97, p = 0.0335), but being with acute exacerbation asthma was toward an increased risk of 28-day mortality (HR 1.82, 95% 0.80–4.10, p = 0.1513). E-value analysis suggested robustness to unmeasured confounding. These findings suggest comorbid stable asthma is associated with a better prognosis in critically ill patients with severe sepsis, while acute exacerbation asthma is associated with worse prognosis.

The Surviving Sepsis Campaign: research priorities for the administration, epidemiology, scoring and identification of sepsis

Objective

To identify priorities for administrative, epidemiologic and diagnostic research in sepsis.

Design

As a follow-up to a previous consensus statement about sepsis research, members of the Surviving Sepsis Campaign Research Committee, representing the European Society of Intensive Care Medicine and the Society of Critical Care Medicine addressed six questions regarding care delivery, epidemiology, organ dysfunction, screening, identification of septic shock, and information that can predict outcomes in sepsis.

Methods

Six questions from the Scoring/Identification and Administration sections of the original Research Priorities publication were explored in greater detail to better examine the knowledge gaps and rationales for questions that were previously identified through a consensus process.

Results

The document provides a framework for priorities in research to address the following questions: (1) What is the optimal model of delivering sepsis care?; (2) What is the epidemiology of sepsis susceptibility and response to treatment?; (3) What information identifies organ dysfunction?; (4) How can we screen for sepsis in various settings?; (5) How do we identify septic shock?; and (6) What in-hospital clinical information is associated with important outcomes in patients with sepsis?

Conclusions

There is substantial knowledge of sepsis epidemiology and ways to identify and treat sepsis patients, but many gaps remain. Areas of uncertainty identified in this manuscript can help prioritize initiatives to improve an understanding of individual patient and demographic heterogeneity with sepsis and septic shock, biomarkers and accurate patient identification, organ dysfunction, and ways to improve sepsis care.

Harming patients by provision of intensive care treatment: is it right to provide time-limited trials of intensive care to patients with a low chance of survival?

Time-limited trials of intensive care have arisen in response to the increasing demand for intensive care treatment for patients with a low chance of surviving their critical illness, and the clinical uncertainty inherent in intensive care decision-making. Intensive care treatment is reported by most patients to be a significantly unpleasant experience. Therefore, patients who do not survive intensive care treatment are exposed to a negative dying experience. Time-limited trials of intensive care treatment in patients with a low chance of surviving have both a small chance of benefiting this patient group and a high chance of harming them by depriving them of a good death. A 'rule of rescue' for the critically unwell does not justify time-limiting a trial of intensive care treatment and overlooks the experiential costs that intensive care patients face. Offering time-limited trials of intensive care to all patients, regardless of their chance of survival, overlooks the responsibility of resource-limited intensive care clinicians for suffering caused by their actions. A patient-specific risk-benefit analysis is vital when deciding whether to offer intensive care treatment, to ensure that time-limited trials of intensive care are not undertaken for patients who have a much higher chance of being harmed, rather than benefited by the treatment. The virtue ethics concept of human flourishing has the potential to offer additional ethical guidance to resource-limited clinicians facing these complex decisions, involving the balancing of a quantifiable survival benefit against the qualitative suffering that intensive care treatment may cause.

Communicating to Non-Speaking Critically Ill Patients: Augmentative and Alternative Communication Technique as an Essential Strategy

Introduction

Communication with hospitalized patients is crucial to improve the quality and safety of health care.

Methods

The study assessed the communication methods used by nurses while communicating to non-speaking critically ill patients. The participants included staff nurses working in ICU, CICU, HD units of neuro- surgical, orthopedic, medical and oncology wards. Purposive sampling technique was used to recruit a total number of 194 nurses. The communication methods used were assessed by a questionnaire comprised of a list of 21 strategies used to communicate with non-speaking patients.

Results

The most commonly used strategies were reading the patient’s mouthing words, encouraging the patient by telling them that they are doing well and nurses helping them to get better, assessing the patients for their communication ability, “thumps up” to indicate “yes”, “shake head” indicating “no”, use OK, or point to body parts, speaking slowly and waiting for the patient’s response, spending time to listen patiently to what the patient say and touching the non-speaking critically ill patient when the nurse speaks with the patient.

Conclusion

The study reported that the nurses used variety of communication strategies while communicating to non- speaking critically ill patients. However very few nurses used Augmentative and alternative communication strategies to communicate to non-speaking critically ill patients. The study recommends the importance of establishing Augmentative and Alternative Communication strategies in the hospitals.

A Systematic Review of Anticoagulation Strategies for Patients with Atrial Fibrillation in Critical Care

BACKGROUND

 Atrial fibrillation (AF) is the most common cardiac arrhythmia in critically ill patients. There is a paucity of data assessing the impact of anticoagulation strategies on clinical outcomes for general critical care patients with AF. Our aim was to assess the existing literature to evaluate the effectiveness of anticoagulation strategies used in critical care for AF.

METHODS

 A systematic literature search was conducted using MEDLINE, EMBASE, CENTRAL, and PubMed databases. Studies reporting anticoagulation strategies for AF in adults admitted to a general critical care setting were assessed for inclusion.

RESULTS

 Four studies were selected for data extraction. A total of 44,087 patients were identified with AF, of which 17.8 to 49.4% received anticoagulation. The reported incidence of thromboembolic events was 0 to 1.4% for anticoagulated patients, and 0 to 1.3% in nonanticoagulated patients. Major bleeding events were reported in three studies and occurred in 7.2 to 8.6% of the anticoagulated patients and in up to 7.1% of the nonanticoagulated patients.

CONCLUSION

 There was an increased incidence of major bleeding events in anticoagulated patients with AF in critical care compared with nonanticoagulated patients. There was no significant difference in the incidence of reported thromboembolic events within studies between patients who did and did not receive anticoagulation. However, the outcomes reported within studies were not standardized, therefore, the generalizability of our results to the general critical care population remains unclear. Further data are required to facilitate an evidence-based assessment of the risks and benefits of anticoagulation for critically ill patients with AF.

Long-term health-related quality of life and burden of disease after intensive care: development of a patient-reported outcome measure

BACKGROUND

ICU survivorship includes a diverse burden of disease. Current questionnaires used for collecting information about health-related problems and their relation to quality of life lack detailed questions in several areas relevant to ICU survivors. Our aim was to construct a provisional questionnaire on health-related issues based on interviews with ICU survivors and to test if this questionnaire was able to show differences between ICU survivors and a control group.

METHODS

Thirty-two ICU survivors were identified at a post-ICU clinic and interviewed at least six months after ICU discharge. Using an established qualitative methodology from oncology, all dysfunctions and disabilities were extracted, rephrased as questions and compiled into a provisional questionnaire. In a second part, this questionnaire was tested on ICU survivors and controls. Inclusion criteria for the ICU survivors were ICU stay at least 72 h with ICU discharge six months to three years prior to the study. A non-ICU-treated control group was obtained from the Swedish Population Register, matched for age and sex. Eligible participants received an invitation letter and were contacted by phone. If willing to participate, they were sent the questionnaire. Descriptive statistics were applied.

RESULTS

Analysis of the interviews yielded 238 questions in 13 domains: cognition, fatigue, physical health, pain, psychological health, activities of daily living, sleep, appetite and alcohol, sexual health, sensory functions, gastrointestinal functions, urinary functions and work life. In the second part, 395 of 518 ICU survivors and 197 of 231 controls returned a completed questionnaire, the response rates being 76.2% and 85.3%, respectively. The two groups differed significantly in 13 of 22 comorbidities. ICU survivors differed in a majority of questions (p ≤ 0.05) distributed over all 13 domains compared with controls.

CONCLUSIONS

This study describes the development of a provisional questionnaire to identify health-related quality of life issues and long-term burden of disease after intensive care. The questionnaire was answered by 395 ICU survivors. The questionnaire could identify that they experience severe difficulties in a wide range of domains compared with a control group. Trial registry ClinicalTrials.gov Ref# NCT02767180.

The need for hemodialysis is associated with increased mortality in mechanically ventilated children: a propensity score-matched outcome study

BACKGROUND

Kidney replacement therapy (KRT) is frequently used in critically ill children. The objective of this study is to investigate if the requirement for hemodialysis (HD) is an independent risk factor for mortality in mechanically ventilated children METHODS: In this retrospective cohort study, we analyzed the 2012 and 2016 Kids Inpatient Database and used a weighted sample to obtain a national outcome estimate. For our analysis, we included children aged one month to 17 years who were mechanically ventilated; we then compared the demographics, comorbidities, and mortality rates of those patients who had undergone HD with those who did not. Statistical analysis was performed using the chi-squared test and regression models. The patients were matched 1:2 with a correlative propensity score using age, weekend admission, elective admission, gender, hospital region, income quartiles, race, presence of kidney failure, bone marrow transplantation (BMT), cardiac surgery, trauma, and All Patients Refined Diagnosis Related Groups (APR-DRG) severity score. The mortality rate was compared between the matched groups.

RESULTS

Out of 100,289 mechanically ventilated children, 1393 (1.4%) underwent HD. The mortality rate was 32.5% in the HD group, compared with 8.8% in the control group (p < 0.05). Factors that were associated with higher mortality in HD patients included severe sepsis, BMT, cardiopulmonary resuscitation (CPR), and extracorporeal membrane oxygenation therapy (ECMO). After propensity score-matched analysis, HD was still significantly associated with a higher risk of mortality (31.9% vs. 22.0%, p < 0.05) CONCLUSIONS: The requirement for HD in mechanically ventilated children is associated with higher mortality.

Obesity and Overweight Are Independently Associated with Greater Survival in Critically Ill Diabetic Patients: A Retrospective Cohort Study

BACKGROUND

The relationship between obesity and the outcomes of critically ill diabetic patients is not completely clear. We aimed to assess the effects of obesity and overweight on the outcomes among diabetic patients in the intensive care unit (ICU).

METHODS

Critically ill diabetic patients in the ICU were classified into three groups according to their body mass index. The primary outcomes were 30-day and 90-day mortality. ICU and hospital length of stay (LOS) and incidence and duration of mechanical ventilation were also assessed. Cox regression models were developed to evaluate the relationship between obesity and overweight and mortality.

RESULTS

A total of 6108 eligible patients were included. The 30-day and 90-day mortality in the normal weight group were approximately 1.8 times and 1.5 times higher than in the obesity group and overweight group, respectively (P < 0.001, respectively). Meanwhile, the ICU (median (IQ): 2.9 (1.7, 5.3) vs. 2.7 (1.6, 4.8) vs. 2.8 (1.8, 5.0)) and hospital (median (IQ): 8.3 (5.4, 14.0) vs. 7.9 (5.1, 13.0) vs. 8.3 (5.3, 13.6)) LOS in the obesity group and overweight group were not longer than in the normal weight group. Compared with normal weight patients, obese patients had significantly higher incidence of mechanical ventilation (58.8% vs. 64.7%, P < 0.001) but no longer ventilation duration (median (IQ): 19.3 (7.0, 73.1) vs. 19.0 (6.0, 93.7), P = 1). Multivariate Cox regression showed that obese and overweight patients had lower 30-day (HR (95% CI): 0.62 (0.51, 0.75); 0.76 (0.62, 0.92), respectively) and 90-day (HR (95% CI): 0.60 (0.51, 0.70); 0.79 (0.67, 0.93), respectively) mortality risks than normal weight patients.

CONCLUSIONS

Obesity and overweight were independently associated with greater survival in critically ill diabetic patients, without increasing the ICU and hospital LOS. Large multicenter prospective studies are needed to confirm our findings and the underlying mechanisms warrant further investigation.

Murine Pancreatic Cancer Alters T Cell Activation and Apoptosis and Worsens Survival After Cecal Ligation and Puncture

Patients with cancer who develop sepsis have a markedly higher mortality than patients who were healthy prior to the onset of sepsis. Potential mechanisms underlying this difference have previously been examined in two preclinical models of cancer followed by sepsis. Both pancreatic cancer/pneumonia and lung cancer/cecal ligation and puncture (CLP) increase murine mortality, associated with alterations in lymphocyte apoptosis and intestinal integrity. However, pancreatic cancer/pneumonia decreases lymphocyte apoptosis and increases gut apoptosis while lung cancer/CLP increases lymphocyte apoptosis and decreases intestinal proliferation. These results cannot distinguish the individual roles of cancer versus sepsis since different models of each were used. We therefore created a new cancer/sepsis model to standardize each variable. Mice were injected with a pancreatic cancer cell line and 3 weeks later cancer mice and healthy mice were subjected to CLP. Cancer septic mice had a significantly higher 10-day mortality than previously healthy septic mice. Cancer septic mice had increased CD4 T cells and CD8 T cells, associated with decreased CD4 T cell apoptosis 24 h after CLP. Further, splenic CD8+ T cell activation was decreased in cancer septic mice. In contrast, no differences were noted in intestinal apoptosis, proliferation, or permeability, nor were changes noted in local bacterial burden, renal, liver, or pulmonary injury. Cancer septic mice thus have consistently reduced survival compared with previously healthy septic mice, independent of the cancer or sepsis model utilized. Changes in lymphocyte apoptosis are common to cancer model and independent of sepsis model, whereas gut apoptosis is common to sepsis model and independent of cancer model. The host response to the combination of cancer and sepsis is dependent, at least in part, on both chronic comorbidity and acute illness.

Comorbidity and survival after admission to the intensive care unit: A population-based study of 41,230 patients

Purpose

To describe the relationship between comorbidities and survival following admission to the intensive care unit.

Methods

Retrospective observational study using several linked routinely collected databases from 16 general intensive care units between 2002 and 2011. Comorbidities identified from hospitalisation in the five years prior to intensive care unit admission. Odds ratios for survival in intensive care unit, hospital and at 30 days, 180 days and 12 months after intensive care unit admission derived from multiple logistic regression models.

Results

There were 41,230 admissions to intensive care units between 2002 and 2011. Forty-one percent had at least one comorbidity - 24% had one, 17% had more than one. Patients with comorbidities were significantly older, had higher Acute Physiology and Chronic Health Evaluation II scores and were more likely to have received elective rather than emergency surgery compared with those without comorbidities. After excluding elective hospitalisations, intensive care unit and hospital mortality for the cohort were 24% and 29%, respectively. Asthma (odds ratio 0.79, 95% confidence interval 0.63-0.99) and solid tumours (odds ratio 0.74, 0.67-0.83) were associated with lower odds of intensive care unit mortality than no comorbidity. Intensive care unit mortality was raised for liver disease (odds ratio 2.98, 2.43-3.65), cirrhosis (odds ratio 2.61, 1.9-3.61), haematological malignancy (odds ratio 2.29, 1.85-2.83), chronic ischaemic heart disease (odds ratio 1.53, 1.19-1.98), heart failure (odds ratio 1.79, 1.35-2.39) and rheumatological disease (odds ratio 1.53, 1.18-1.98).

Conclusions

Comorbidities affect two-fifths of intensive care unit admission and have highly variable effects on subsequent outcomes. Information on the differential effects of comorbidities will be helpful in making better decisions about intensive care unit support and understanding outcomes beyond surviving intensive care unit.

Healthcare trajectories before and after critical illness: population-based insight on diverse patients clusters

BACKGROUND

The post intensive care syndrome (PICS) gathers various disabilities, associated with a substantial healthcare use. However, patients' comorbidities and active medical conditions prior to intensive care unit (ICU) admission may partly drive healthcare use after ICU discharge. To better understand retative contribution of critical illness and PICS-compared to pre-existing comorbidities-as potential determinant of post-critical illness healthcare use, we conducted a population-based evaluation of patients' healthcare use trajectories.

RESULTS

Using discharge databases in a 2.5-million-people region in France, we retrieved, over 3 years, all adult patients admitted in ICU for septic shock or acute respiratory distress syndrome (ARDS), intubated at least 5 days and discharged alive from hospital: 882 patients were included. Median duration of mechanical ventilation was 11 days (interquartile ranges [IQR] 8;20), mean SAPS2 was 49, and median hospital length of stay was 42 days (IQR 29;64). Healthcare use (days spent in healthcare facilities) was analyzed 2 years before and 2 years after ICU admission. Prior to ICU admission, we observed, at the scale of the whole study population, a progressive increase in healthcare use. Healthcare trajectories were then explored at individual level, and patients were assembled according to their individual pre-ICU healthcare use trajectory by clusterization with the K-Means method. Interestingly, this revealed diverse trajectories, identifying patients with elevated and increasing healthcare use (n = 126), and two main groups with low (n = 476) or no (n = 251) pre-ICU healthcare use. In ICU, however, SAPS2, duration of mechanical ventilation and length of stay were not different across the groups. Analysis of post-ICU healthcare trajectories for each group revealed that patients with low or no pre-ICU healthcare (which represented 83% of the population) switched to a persistent and elevated healthcare use during the 2 years post-ICU.

CONCLUSION

For 83% of ARDS/septic shock survivors, critical illness appears to have a pivotal role in healthcare trajectories, with a switch from a low and stable healthcare use prior to ICU to a sustained higher healthcare recourse 2 years after ICU discharge. This underpins the hypothesis of long-term critical illness and PICS-related quantifiable consequences in healthcare use, measurable at a population level.

Cerebral cortex and respiratory muscles perfusion during spontaneous breathing attempts in ventilated patients and its relation to weaning outcomes: a protocol for a prospective observational study

INTRODUCTION

In addition to the well-documented factors that contribute to weaning failure, increased energy demands of the respiratory muscles during spontaneous breathing trials (SBTs) might not be met by sufficient increases in energy supplies. This discrepancy may deprive blood and oxygen of other tissues. In this context, restrictions in perfusion of splanchnic organs and non-working muscles during SBT have been associated with weaning failure. However, alterations in perfusion of the brain during the weaning process are less well understood.

OBJECTIVE AND HYPOTHESIS

To investigate whether cerebral cortex perfusion evolves differentially during the transition from mechanical ventilation (MV) to spontaneous breathing between patients failing or succeeding the SBT. We hypothesise that patients failing the SBT will exhibit reduced cerebral cortex perfusion during the transition from MV to spontaneous breathing as compared with patients succeeding the SBT.

METHODS AND ANALYSIS

This single-centre, prospective, observational study will be conducted in a medical Intensive Care unit of University Hospital Leuven, Belgium in ready to wean patients. Blood flow index in the cerebral cortex (prefrontal area), inspiratory (scalene) and expiratory muscle (upper rectus abdominis) and a non-working muscle (thenar eminence) will be simultaneously assessed by near-infrared spectroscopy (NIRS) using the tracer indocyanine green dye. Measurements will be performed on the same day during MV and during SBT. NIRS-derived tissue oxygenation index and cardiac output (by pulse contour analyses) will be recorded continuously. Twenty patients failing an SBT are estimated to be sufficient for detecting a significant difference in the change of cerebral cortex perfusion from MV to SBT (primary outcome) between SBT failure and success patients.

ETHICS AND DISSEMINATION

Ethics approval was obtained from the local ethical committee (Ethische Commissie Onderzoek UZ/KU Leuven protocol ID: S60516). Results from this study will be presented at scientific meetings and congresses and published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT03240263; Pre-results.

Surviving Sepsis Campaign: Research Priorities for Sepsis and Septic Shock

OBJECTIVE

To identify research priorities in the management, epidemiology, outcome and underlying causes of sepsis and septic shock.

DESIGN

A consensus committee of 16 international experts representing the European Society of Intensive Care Medicine and Society of Critical Care Medicine was convened at the annual meetings of both societies. Subgroups had teleconference and electronic-based discussion. The entire committee iteratively developed the entire document and recommendations.

METHODS

Each committee member independently gave their top five priorities for sepsis research. A total of 88 suggestions (Supplemental Table 1, Supplemental Digital Content 2, http://links.lww.com/CCM/D636) were grouped into categories by the committee co-chairs, leading to the formation of seven subgroups: infection, fluids and vasoactive agents, adjunctive therapy, administration/epidemiology, scoring/identification, post-intensive care unit, and basic/translational science. Each subgroup had teleconferences to go over each priority followed by formal voting within each subgroup. The entire committee also voted on top priorities across all subgroups except for basic/translational science.

RESULTS

The Surviving Sepsis Research Committee provides 26 priorities for sepsis and septic shock. Of these, the top six clinical priorities were identified and include the following questions: 1) can targeted/personalized/precision medicine approaches determine which therapies will work for which patients at which times?; 2) what are ideal endpoints for volume resuscitation and how should volume resuscitation be titrated?; 3) should rapid diagnostic tests be implemented in clinical practice?; 4) should empiric antibiotic combination therapy be used in sepsis or septic shock?; 5) what are the predictors of sepsis long-term morbidity and mortality?; and 6) what information identifies organ dysfunction?

CONCLUSIONS

While the Surviving Sepsis Campaign guidelines give multiple recommendations on the treatment of sepsis, significant knowledge gaps remain, both in bedside issues directly applicable to clinicians, as well as understanding the fundamental mechanisms underlying the development and progression of sepsis. The priorities identified represent a roadmap for research in sepsis and septic shock.

The association of intensive care with utilization and costs of outpatient healthcare services and quality of life

Background

Little is known about outpatient health services use following critical illness and intensive care. We examined the association of intensive care with outpatient consultations and quality of life in a population-based sample.

Methods

Cross-sectional analysis of data from 6,686 participants of the Study of Health in Pomerania (SHIP), which consists of two independent population-based cohorts. Statistical modeling was done using Poisson regression, negative binomial and generalized linear models for consultations, and a fractional response model for quality of life (EQ-5D-3L index value), with results expressed as prevalence ratios (PR) or percent change (PC). Entropy balancing was used to adjust for observed confounding.

Results

ICU treatment in the previous year was reported by 139 of 6,686 (2,1%) participants, and was associated with a higher probability (PR 1.05 [CI:1.03;1.07]), number (PC +58.0% [CI:22.8;103.2]) and costs (PC +64.1% [CI:32.0;103.9]) of annual outpatient consultations, as well as with a higher number of medications (PC +37.8% [CI:17.7;61.5]). Participants with ICU treatment were more likely to visit a specialist (PR 1.13 [CI:1.09; 1.16]), specifically internal medicine (PR 1.67 [CI:1.45;1.92]), surgery (PR 2.42 [CI:1.92;3.05]), psychiatry (PR 2.25 [CI:1.30;3.90]), and orthopedics (PR 1.54 [CI:1.11;2.14]). There was no significant effect regarding general practitioner consultations. ICU treatment was also associated with lower health-related quality of life (EQ-5D index value: PC -13.7% [CI:-27.0;-0.3]). Furthermore, quality of life was inversely associated with outpatient consultations in the previous month, more so for participants with ICU treatment.

Conclusions

Our findings suggest that ICU treatment is associated with an increased utilization of outpatient specialist services, higher medication intake, and impaired quality of life.

Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care

BACKGROUND

Sepsis remains a complex medical problem and a major challenge in healthcare. Diagnostics and outcome predictions are focused on physiological parameters with less consideration given to patients' medical background. Given the aging population, not only are diseases becoming increasingly prevalent but occur more frequently in combinations ("multimorbidity"). We hypothesized the existence of patient subgroups in critical care with distinct multimorbidity states. We further hypothesize that certain multimorbidity states associate with higher rates of organ failure, sepsis, and mortality co-occurring with these clinical problems.

METHODS

We analyzed 36,390 patients from the open source Medical Information Mart for Intensive Care III (MIMIC III) dataset. Morbidities were defined based on Elixhauser categories, a well-established scheme distinguishing 30 classes of chronic diseases. We used latent class analysis to identify distinct patient subgroups based on demographics, admission type, and morbidity compositions and compared the prevalence of organ dysfunction, sepsis, and inpatient mortality for each subgroup.

RESULTS

We identified six clinically distinct multimorbidity subgroups labeled based on their dominant Elixhauser disease classes. The "cardiopulmonary" and "cardiac" subgroups consisted of older patients with a high prevalence of cardiopulmonary conditions and constituted 6.1% and 26.4% of study cohort respectively. The "young" subgroup included 23.5% of the cohort composed of young and healthy patients. The "hepatic/addiction" subgroup, constituting 9.8% of the cohort, consisted of middle-aged patients (mean age of 52.25, 95% CI 51.85-52.65) with the high rates of depression (20.1%), alcohol abuse (47.75%), drug abuse (18.2%), and liver failure (67%). The "complicated diabetics" and "uncomplicated diabetics" subgroups constituted 9.4% and 24.8% of the study cohort respectively. The complicated diabetics subgroup demonstrated higher rates of end-organ complications (88.3% prevalence of renal failure). Rates of organ dysfunction and sepsis ranged 19.6-69% and 12.5-46.7% respectively in the six subgroups. Mortality co-occurring with organ dysfunction and sepsis ranges was 8.4-23.8% and 11.7-27.4% respectively. These adverse outcomes were most prevalent in the hepatic/addiction subgroup.

CONCLUSION

We identify distinct multimorbidity states that associate with relatively higher prevalence of organ dysfunction, sepsis, and co-occurring mortality. The findings promote the incorporation of multimorbidity in healthcare models and the shift away from the current single-disease paradigm in clinical practice, training, and trial design.

Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records

BACKGROUND

Intensive-care units (ICUs) treat the most critically ill patients, which is complicated by the heterogeneity of the diseases that they encounter. Severity scores based mainly on acute physiology measures collected at ICU admission are used to predict mortality, but are non-specific, and predictions for individual patients can be inaccurate. We investigated whether inclusion of long-term disease history before ICU admission improves mortality predictions.

METHODS

Registry data for long-term disease histories for more than 230 000 Danish ICU patients were used in a neural network to develop an ICU mortality prediction model. Long-term disease histories and acute physiology measures were aggregated to predict mortality risk for patients for whom both registry and ICU electronic patient record data were available. We compared mortality predictions with admission scores on the Simplified Acute Physiology Score (SAPS) II, the Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) II, and the best available multimorbidity score, the Multimorbidity Index. An external validation set from an additional hospital was acquired after model construction to confirm the validity of our model. During initial model development data were split into a training set (85%) and an independent test set (15%), and a five-fold cross-validation was done during training to avoid overfitting. Neural networks were trained for datasets with disease history of 1 month, 3 months, 6 months, 1 year, 2·5 years, 5 years, 7·5 years, 10 years, and 23 years before ICU admission.

FINDINGS

Mortality predictions with a model based solely on disease history outperformed the Multimorbidity Index (Matthews correlation coefficient 0·265 vs 0·065), and performed similarly to SAPS II and APACHE II (Matthews correlation coefficient with disease history, age, and sex 0·326 vs 0·347 and 0·300 for SAPS II and APACHE II, respectively). Diagnoses up to 10 years before ICU admission affected current mortality prediction. Aggregation of previous disease history and acute physiology measures in a neural network yielded the most precise predictions of in-hospital mortality (Matthews correlation coefficient 0·391 for in-hospital mortality compared with 0·347 with SAPS II and 0·300 with APACHE II). These results for the aggregated model were validated in an external independent dataset of 1528 patients (Matthews correlation coefficient for prediction of in-hospital mortality 0·341).

INTERPRETATION

Longitudinal disease-spectrum-wide data available before ICU admission are useful for mortality prediction. Disease history can be used to differentiate mortality risk between patients with similar vital signs with more precision than SAPS II and APACHE II scores. Machine learning models can be deconvoluted to generate novel understandings of how ICU patient features from long-term and short-term events interact with each other. Explainable machine learning models are key in clinical settings, and our results emphasise how to progress towards the transformation of advanced models into actionable, transparent, and trustworthy clinical tools.

FUNDING

Novo Nordisk Foundation and Innovation Fund Denmark.

Time to positivity of blood cultures supports early re-evaluation of empiric broad-spectrum antimicrobial therapy

BACKGROUND

Blood cultures are considered the gold standard to distinguish bacteremia from non-bacteremic systemic inflammation. In current clinical practice, bacteraemia is considered unlikely if blood cultures have been negative for 48-72 hours. Modern BC systems have reduced this time-to-positivity (TTP), questioning whether the time frame of 48-72 hrs is still valid. This study investigates the distribution of TTP, the probability of blood culture positivity after 24 hours, and identifies clinical predictors of prolonged TTP.

METHODS

Adult patients with monomicrobial bacteremia in an academic hospital were included retrospectively over a three-year period. Clinical data were retrieved from the medical records. Predictors of TTP >24 hours were determined by uni- and multivariate analyses. The residual probability of bacteremia was estimated for the scenario of negative BCs at 24 hours after bedside collection.

RESULTS

The cohort consisted of 801 patients, accounting for 897 episodes of bacteremia. Mean age was 65 years (IQR 54-73), 534 (59.5%) patients were male. Median TTP was 15.7 (IQR 13.5-19.3) hours. TTP was ≤24 hours in 85.3% of episodes. Antibiotic pre-treatment (adjusted OR 1.77; 95%CI 1.14-2.74, p<0.01) was independently associated with prolonged TTP. The probability of bacteremia, if BC had remained negative for 24 hours, was 1.8% (95% CI 1.46-2.14).

CONCLUSION

With adequate hospital logistics, the probability of positive blood cultures after 24 hours of negative cultures was low. Combined with clinical reassessment, knowledge of this low probability may contribute to prioritization of the differential diagnosis and decisions on antimicrobial therapy. As a potential antibiotic stewardship tool, this strategy warrants further prospective investigation.

Percutaneous Cannulation for Extracorporeal Life Support in Severely and Morbidly Obese Patients

BACKGROUND

Extracorporeal life support systems are well-established devices for treating patients with acute cardiopulmonary failure. Severe or morbid obesity may result in complications such as limb ischemia, bleeding, unsuccessful cannulation, or infection at the cannulation sites. This article reports on our experience with cannulation and associated complications in severely and morbidly obese patients.

METHODS

Between January 2006 and September 2016, 153 severely or morbidly obese patients with a body mass index >35 kg/m² were cannulated percutaneously for extracorporeal life support at our center. Among those, 115 patients were treated with venovenous extracorporeal membrane oxygenation (VV ECMO) for acute lung failure and 38 patients with venoarterial extracorporeal membrane oxygenation (VA ECMO) for cardiogenic shock. Complications related to percutaneous access and long-term follow-up were analyzed retrospectively. Primary focus was on the success of cannulation, outcome, thrombosis, bleeding, limb ischemia, and infection at the cannulation site. Normal-weight patients receiving extracorporeal life support served as control.

RESULTS

Percutaneous cannulation was successfully performed in all patients. Eighty-five (74%) patients were weaned from VV ECMO and 20 (52%) patients were weaned from VA ECMO. Limb ischemia requiring surgical intervention occurred in 5 (3%) patients, bleeding in 7 (5%) patients, and wound infection in 3 (2%) patients. In all other patients, decannulation was uneventful. These data as well as the long-term survival rates were comparable to those of normal-weight patients (P > .05).

CONCLUSION

Percutaneous vessel cannulation for extracorporeal life support systems is generally feasible. Therefore, percutaneous cannulation may well be performed in severely and morbidly obese patients. Patient outcome rather depends on appropriate support than on anatomy.

Hospital Volume of Immunosuppressed Patients with Sepsis and Sepsis Mortality

RATIONALE

Immunosuppressive medical conditions are risk factors for mortality from severe infections. It is unknown whether hospital characteristics affect this risk.

OBJECTIVES

To determine whether the odds of death for an immunosuppressed patient with sepsis relative to a nonimmunosuppressed patient with sepsis varies according to the hospital's yearly case volume of immunosuppressed patients with sepsis.

METHODS

Patients with sepsis at hospitals in the Vizient database were characterized as immunosuppressed or not immunosuppressed on the basis of diagnosis codes and medication use. Hospitals were grouped into quartiles based on their average volumes of immunosuppressed patients with sepsis per year. Multilevel logistic regression with clustering of patients by hospital was used to determine whether the odds of in-hospital death from sepsis owing to a suppressed immune state varied by hospital quartile.

RESULTS

There were 350,183 patients with sepsis at 60 hospitals in the Vizient database from 2010 to 2012. Immunosuppressed patients with sepsis at the 15 hospitals in the lowest quartile (64 to 224 immunosuppressed patients with sepsis per year) had an increased odds of in-hospital death relative to nonimmunosuppressed patients with sepsis at these hospitals (adjusted odds ratio, 1.38; 95% confidence interval, 1.27-1.50; P < 0.001). The odds of in-hospital death for immunosuppressed patients with sepsis relative to nonimmunosuppressed patients with sepsis was similar for patients at hospitals in the second, third, and fourth quartiles (225 to 1,056 immunosuppressed patients with sepsis per year). The adjusted odds of death from sepsis owing to a suppressed immune state of 1.21 (95% confidence interval, 1.18-1.25; P < 0.001) for patients at these 45 hospitals was significantly less than for patients at the 15 hospitals in the lowest quartile (P = 0.004 for difference).

CONCLUSIONS

The risk of death from sepsis owing to a suppressed immune state was greatest at hospitals with the lowest volume of immunosuppressed patients with sepsis. Further study is needed to determine whether this finding is related to differences in patient characteristics or in care delivery at hospitals with different amounts of exposure to immunosuppressed patients.

Surviving sepsis campaign: research priorities for sepsis and septic shock

Objective

To identify research priorities in the management, epidemiology, outcome and underlying causes of sepsis and septic shock.

Design

A consensus committee of 16 international experts representing the European Society of Intensive Care Medicine and Society of Critical Care Medicine was convened at the annual meetings of both societies. Subgroups had teleconference and electronic-based discussion. The entire committee iteratively developed the entire document and recommendations.

Methods

Each committee member independently gave their top five priorities for sepsis research. A total of 88 suggestions (ESM 1 - supplemental table 1) were grouped into categories by the committee co-chairs, leading to the formation of seven subgroups: infection, fluids and vasoactive agents, adjunctive therapy, administration/epidemiology, scoring/identification, post-intensive care unit, and basic/translational science. Each subgroup had teleconferences to go over each priority followed by formal voting within each subgroup. The entire committee also voted on top priorities across all subgroups except for basic/translational science.

Results

The Surviving Sepsis Research Committee provides 26 priorities for sepsis and septic shock. Of these, the top six clinical priorities were identified and include the following questions: (1) can targeted/personalized/precision medicine approaches determine which therapies will work for which patients at which times?; (2) what are ideal endpoints for volume resuscitation and how should volume resuscitation be titrated?; (3) should rapid diagnostic tests be implemented in clinical practice?; (4) should empiric antibiotic combination therapy be used in sepsis or septic shock?; (5) what are the predictors of sepsis long-term morbidity and mortality?; and (6) what information identifies organ dysfunction?

Conclusions

While the Surviving Sepsis Campaign guidelines give multiple recommendations on the treatment of sepsis, significant knowledge gaps remain, both in bedside issues directly applicable to clinicians, as well as understanding the fundamental mechanisms underlying the development and progression of sepsis. The priorities identified represent a roadmap for research in sepsis and septic shock.

Electronic supplementary material

The online version of this article (10.1007/s00134-018-5175-z) contains supplementary material, which is available to authorized users.

Predictors of response to fixed-dose vasopressin in adult patients with septic shock

Background

Vasopressin is often utilized for hemodynamic support in patients with septic shock. However, the most appropriate patient to initiate therapy in is unknown. This study was conducted to determine factors associated with hemodynamic response to fixed-dose vasopressin in patients with septic shock.

Methods

Single-center, retrospective cohort of patients receiving fixed-dose vasopressin for septic shock for at least 6 h with concomitant catecholamines in the medical, surgical, or neurosciences intensive care unit (ICU) at a tertiary care center. Patients were classified as responders or non-responders to fixed-dose vasopressin. Response was defined as a decrease in catecholamine dose requirements and achievement of mean arterial pressure ≥ 65 mmHg at 6 h after initiation of vasopressin.

Results

A total of 938 patients were included: 426 responders (45%), 512 non-responders (55%). Responders had lower rates of in-hospital (57 vs. 72%; P < 0.001) and ICU mortality (50 vs. 68%; P < 0.001), and increased ICU-free days at day 14 and hospital-free days at day 28 (2.3 ± 3.8 vs. 1.6 ± 3.3; P < 0.001 and 4.2 ± 7.2 vs. 2.8 ± 6.0; P < 0.001, respectively). On multivariable analysis, non-medical ICU location was associated with increased response odds (OR 1.70; P = 0.0049) and lactate at vasopressin initiation was associated with decreased response odds (OR 0.93; P = 0.0003). Factors not associated with response included APACHE III score, SOFA score, corticosteroid use, and catecholamine dose.

Conclusion

In this evaluation, 45% responded to the addition of vasopressin with improved outcomes compared to non-responders. The only factors found to be associated with vasopressin response were ICU location and lactate concentration.

Diabetes Is Not Associated With Increased 90-Day Mortality Risk in Critically Ill Patients With Sepsis

OBJECTIVES

To determine the association of pre-existing diabetes, hyperglycemia, and hypoglycemia during the first 24 hours of ICU admissions with 90-day mortality in patients with sepsis admitted to the ICU.

DESIGN

We used mixed effects logistic regression to analyze the association of diabetes, hyperglycemia, and hypoglycemia with 90-day mortality (n = 128,222).

SETTING

All ICUs in the Netherlands between January 2009 and 2014 that participated in the Dutch National Intensive Care Evaluation registry.

PATIENTS

All unplanned ICU admissions in patients with sepsis.

INTERVENTIONS

The association between 90-day mortality and pre-existing diabetes, hyperglycemia, and hypoglycemia, corrected for other factors, was analyzed using a generalized linear mixed effect model.

MEASUREMENTS AND MAIN RESULTS

In a multivariable analysis, diabetes was not associated with increased 90-day mortality. In diabetes patients, only severe hypoglycemia in the absence of hyperglycemia was associated with increased 90-day mortality (odds ratio, 2.95; 95% CI, 1.19-7.32), whereas in patients without pre-existing diabetes, several combinations of abnormal glucose levels were associated with increased 90-day mortality.

CONCLUSIONS

In the current retrospective large database review, diabetes was not associated with adjusted 90-day mortality risk in critically ill patients admitted with sepsis.

Handing over patients from the ICU to the general ward: A focused ethnographical study of nurses' communication practice

AIM

To explore nursing practice and perception of engaging in communicative interaction when handing over multi-morbid patients from the ICU to general medical or surgical wards.

BACKGROUND

Communication failures impose risks to patient safety. ICU and general ward nurses communicate in writing and verbally when handing over patients from one setting to another. A deeper understanding of nurses' communicative interaction and of nurses' perception of their interaction is crucial to facilitate clinical interventions focusing to improve patient safety.

DESIGN

An explorative, qualitative design using focused ethnography was applied to the study.

METHODS

Participant observation of 22 clinical situations of handing over patients from the ICU to general wards was conducted in November and December 2015, followed by five focus group interviews, three interviews with general ward nurses and two with ICU nurses in January-February 2016. Observation notes and interview transcripts were analysed using content analysis.

FINDINGS

The theme "Communicative interaction as a process of sharing and adopting ownership" and the subtheme "Communicative interaction influenced by nurses individual expectations towards patient status and the handing over process" emerged from observation notes. From transcribed focus group interviews, the theme "Balancing and negotiating when passing on, consuming and adapting knowledge" was identified.

CONCLUSION

A lack of shared goals regarding handing over patients from a high monitoring unit to general wards causes communicative and collaborative difficulties, loss of information and potential risks to patients. Organizational attention in relation to ICU discharge is crucial to improve collaboration, communication and patient safety.

A review of hemodynamic monitoring techniques, methods and devices for the emergency physician

The emergency department (ED) is frequently the doorway to the intensive care unit (ICU) for a significant number of critically ill patients presenting to the hospital. Hemodynamic monitoring (HDM) which is a key component in the effective management of the critically ill patient presenting to the ED, is primarily concerned with assessing the performance of the cardiovascular system and determining the correct therapeutic intervention to optimise end-organ oxygen delivery. The spectrum of hemodynamic monitoring ranges from simple clinical assessment and routine bedside monitoring to point of care ultrasonography and various invasive monitoring devices. The clinician must be aware of the range of available techniques, methods, interventions and technological advances as well as possess a sound approach to basic hemodynamic monitoring prior to selecting the optimal modality. This article comprises an in depth discussion of an approach to hemodynamic monitoring techniques and principles as well as methods of predicting fluid responsiveness as it applies to the ED clinician. We review the role, applicability and validity of various methods and techniques that include; clinical assessment, passive leg raising, blood pressure, finger based monitoring devices, the mini-fluid challenge, the end-expiratory occlusion test, central venous pressure monitoring, the pulmonary artery catheter, ultrasonography, bioreactance and other modern invasive hemodynamic monitoring devices.

Understanding Long-Term Outcomes Following Sepsis: Implications and Challenges

Sepsis is life-threating organ dysfunction due to infection. Incidence of sepsis is increasing and the short-term mortality is improving, generating more sepsis survivors. These sepsis survivors suffer from additional morbidities such as higher risk of readmissions, cardiovascular disease, cognitive impairment and of death, for years following index sepsis episode. In the first year following index sepsis episode, approximately 60 % of sepsis survivors have at least one rehospitalisation episode, which is most often due to infection and one in six sepsis survivors die. Sepsis survivors also have a higher risk of cognitive impairment and cardiovascular disease contributing to the reduced life expectancy seen in this population, when assessed with life table comparisons. For optimal design of interventional trials to reduce these bad outcomes in sepsis survivors, in-depth understanding of major risk factors for these morbid events, their modifiability and a causal relationship to the pathobiology of sepsis is essential. This review highlights the recent advances, clinical and methodological challenges in our understanding of these morbid events in sepsis survivors.

Shock in the emergency department; a 12 year population based cohort study

Background

The knowledge of the frequency and associated mortality of shock in the emergency department (ED) is limited. The aim of this study was to describe the incidence, all-cause mortality and factors associated with death among patients suffering shock in the ED.

Methods

Population-based cohort study at an University Hospital ED in Denmark from January 1, 2000, to December 31, 2011. All patients aged ≥18 years living in the hospital catchment area with a first time ED presentation with shock (n = 1646) defined as hypotension (systolic blood pressure (SBP) ≤100 mmHg)) and ≥1 organ failures. Outcomes were annual incidence per 100,000 person-years at risk (pyar), all-cause mortality at 0–7, and 8–90 days and risk factors associated with death.

Results

We identified 1646 of 438,191 (0.4 %) ED patients with shock at arrival. Incidence of shock increased from 53.8 to 80.6 cases per 100,000 pyar. The 7-day, and 90-day mortality was 23.1 % (95 % CI: 21.1–25.1) and 40.7 % (95 % CI: 38.3–43.1), respectively. Independent predictors of 7-day mortality were: age (adjusted HR 1.03 (95 % CI: 1.03–1.04), and number of organ failures (≥3 organ failures; adjusted HR 3.13 95 % CI: 2.28–4.30). Age, comorbidity level and number of organ failure were associated with 90-day mortality.

Conclusion

Shock is a frequent and critical finding in the ED, carrying a 7- and, 90- day mortality of 23.1 and 40.7 %, respectively. Age and number of organ failures are independent prognostic factors for death within 7 days, whereas age, comorbidity and organ failures are of significance within 8–90 days.

The outcome of acute respiratory distress syndrome in relation to body mass index and diabetes mellitus

OBJECTIVE

To determine the 28 day mortality of patients with ARDS in relation to body mass index (BMI) and presence diabetes mellitus (DM).

DESIGN

Retrospective cohort study of patients enrolled in the ARDS Network randomized controlled trials.

RESULTS

2914 patients were enrolled in these trials. 112 patients were underweight (BMI < 18.5), 948 patients were normal range (18.5 ≤ BMI < 25.0), 801 patients were overweight (25.0 ≤ BMI < 30.0), 687 patients were obese (30.0 ≤ BMI < 40.0), and 175 patients were severely obese (BMI ≥ 40.0). 469 patients had DM. There was no significant difference in the 28 day mortality in relation to BMI or presence of DM (underweight adjusted OR, 1.217; 95% CI, 0.749-1.979; overweight adjusted OR, 0.887; 95% CI, 0.696-1.131; obese adjusted OR, 0.812; 95% CI, 0.624-1.056; severely obese adjusted OR, 1.102; 95% CI, 0.716-1.695; and DM adjusted OR, 0.938; 95% CI, 0.728-1.208).

CONCLUSIONS

The short term mortality in patients with ARDS is not affected by BMI or the presence of DM.

Effect of Early Intervention on Long-Term Outcomes of Critically Ill Cancer Patients Admitted to ICUs

OBJECTIVES

The objective of this observational study was to evaluate whether early intervention was associated with improved long-term outcomes in critically ill patients with cancer.

DESIGN

Retrospective analysis with prospectively collected data.

SETTING

A university-affiliated, tertiary referral hospital.

PATIENTS

Consecutive critically ill cancer patients who were managed by a medical emergency team before ICU admission between January 2010 and December 2012.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

During the study period, 525 critically ill cancer patients were admitted to the ICU with respiratory failure (41.7%) and severe sepsis or septic shock (40.6%) following medical intervention by a medical emergency team. Of 356 ICU survivors, 161 (45.2%) received additional treatment for cancer after ICU discharge. Mortality was 66.1% at 6 months and 72.8% at 1 year. Median time from physiological derangement to intervention before ICU admission was significantly shorter in 1-year survivors (1.3 hr; interquartile range, 0.5-4.8 hr) than it was in nonsurvivors (2.9 hr; interquartile range, 0.8-9.6 hr) (p< 0.001). Additionally, the early intervention (≤ 1.5 hr) group had a lower 30-day mortality rate than the late intervention (> 1.5 hr) group (29.0% vs 55.3%; p < 0.001) and a similar difference in mortality rate was observed up to 1 year. Other factors associated with 1-year mortality were illness severity, performance status, malignancy status, presence of more than three abnormal physiological variables, time from derangement to ICU admission, and the need for mechanical ventilation. Even after adjusting for potential confounding factors, early intervention was significantly associated with 1-year mortality (adjusted hazard ratio, 0.456; 95% CI, 0.348-0.597; p < 0.001).

CONCLUSION

Early intervention for clinical derangement on general wards was significantly associated with long-term outcomes in critically ill cancer patients.

Survival in solid cancer patients following intensive care unit admission

PURPOSE

One in seven patients admitted to intensive care units (ICU) has a cancer diagnosis but evidence on their expected outcomes after admission has not been synthesised.

METHODS

Systematic literature review of solid cancer adult patients admitted to ICU from 2000 onwards using EMBASE and MEDLINE electronic databases.

RESULTS

There were 48 papers identified that reported survival in ICU patients with solid cancers. ICU mortality was reported in 35 studies comprising a total sample of 25,339 patients and ranging from 4.5 to 85 %. The average mortality of the distribution of reported mortality rates within ICU was 31.2 % (95 % CI 24.0-39.0 %). Hospital mortality was reported in 31 studies across a total sample of 74,061 patients. The average hospital mortality was 38.2 % (33.8-42.7 %) and ranged from 4.6 to 76.8 %. Poorer physiological score, invasive mechanical ventilation and poor functional status were associated with higher mortality.

CONCLUSIONS

Several factors have been associated with poor survival in ICU cancer patients; however, primary research is still needed to describe outcomes in cancer patients with sufficient case mix and treatment details to be of prognostic value to clinicians.

Causes and consequences of disproportionate care in intensive care medicine

PURPOSE OF REVIEW

Increased use of advanced life-sustaining measures in patients with poor long-term expectations secondary to more chronic organ dysfunctions, comorbidities and/or a poor quality of life has become a worrying trend over the last decade. This can lead to futile, disproportionate or inappropriate care in the ICU. This review summarizes the causes and consequences of disproportionate care in the ICU.

RECENT FINDINGS

Disproportionate care seems to be common in European and North American ICUs. The initiation and prolongation of disproportionate care can be related to hospital facilities, healthcare providers, the patient and his/her representatives and society. This can have serious consequences for patients, their relatives, physicians, nurses and society.

SUMMARY

Disproportionate care is common in western ICUs. It can lead to violation of basic bioethical principles, suffering of patients and relatives and compassion fatigue and moral distress in healthcare providers. Avoiding inappropriate use of ICU resources and disproportionate care in the ICU should have high priority for ICU managers but also for every healthcare provider taking care of patients at the bedside.

Relationship between early inflammatory response and clinical evolution of the severe multiorgan failure in mechanical circulatory support-treated patients

Background. The mechanical circulatory support (MCS) is an effective treatment in critically ill patients with end-stage heart failure (ESHF) that, however, may cause a severe multiorgan failure syndrome (MOFS) in these subjects. The impact of altered inflammatory response, associated to MOFS, on clinical evolution of MCS postimplantation patients has not been yet clarified. Methods. Circulating cytokines, adhesion molecules, and a marker of monocyte activation (neopterin) were determined in 53 MCS-treated patients, at preimplant and until 2 weeks. MOFS was evaluated by total sequential organ failure assessment score (tSOFA). Results. During MCS treatment, 32 patients experienced moderate MOFS (tSOFA < 11; A group), while 21 patients experienced severe MOFS (tSOFA ≥ 11) with favorable (B group) or adverse (n = 13, C group) outcomes. At preimplant, higher values of left ventricular ejection fraction (LVEF) and estimated glomerular filtration rate (eGFR) were the only parameter independently associated with A group. In C group, during the first postoperative week, high levels of interleukin-8 (IL-8) and tumor necrosis factor (TNF)-α, and an increase of neopterin and adhesion molecules, precede tSOFA worsening and exitus. Conclusions. The MCS patients of C group show an excessive release to IL-8 and TNF-α, and monocyte-endothelial activation after surgery, that might contribute to the unfavourable evolution of severe MOFS.

Contrasting effects of preexisting hyperglycemia and higher body size on hospital mortality in critically ill patients: a prospective cohort study

BACKGROUND

Obesity and diabetes mellitus are well-defined risk factors for cardiovascular mortality. The impact of antecedent hyperglycemia and body size on mortality in critical ill patients in intensive care units (ICUs) may vary across their range of values. Therefore, we prospectively analyzed the relationship between in-hospital mortality and preexisting hyperglycemia and body size in critically ill ICU patients to understand how mortality varied among normal, overweight, and obese patients and those with low, intermediate, and high glycated hemoglobin (HbA1c) levels.

METHODS

Medical history, weight, height, physiologic variables, and HbA1c were obtained during the first 24 h for patients who were consecutively admitted to the high complexity ICU of Hospital de Clínicas de Porto Alegre, Brazil, from April to August 2011. The relationships between mortality and obesity and antecedent hyperglycemia were prospectively analyzed by cubic spline analysis and a Cox proportional hazards model.

RESULTS

The study comprised 199 patients. The overall hospital mortality rate was 43.2% during a median 16 (8-28) days of follow-up. There was a progressive risk of in-hospital mortality with higher HbA1c levels, with the relationship becoming significant at HbA1c >9.3% compared with lower levels (hazard ratio 1.74; 95% confidence interval with Bonferroni correction 1.49-2.80). In contrast, mean body mass index (BMI) was higher in survivors than in nonsurvivors (27.2 kg/m2 ± 7.3 vs. 24.7 kg/m2 ± 5.0 P = 0.031, respectively). Cubic spline analysis showed that these relationships differed nonlinearly through the spectrum of BMI values. In a Cox proportional hazards model adjusted for Acute Physiology and Chronic Health Evaluation II score and HbA1c, the risk of in-hospital mortality progressively decreased with increasing BMI (BMI <20 vs. 20-23.9 kg/m2, P = 0.032; BMI <20 vs. 24-34.9 kg/m2, P = 0.010; BMI <20 vs. ≥35 kg/m2, P = 0.032).

CONCLUSIONS

Our findings suggest that significant hyperglycemia prior to ICU admission is a risk factor for in-hospital mortality. Conversely, increasing BMI may confer an advantageous effect against mortality in critical illness independently of previous glycemic control.

Longitudinal discharge trends and outcomes after hospitalization for mouth cellulitis and Ludwig angina

OBJECTIVE

Objective is to provide longitudinal discharge trends and hospitalization outcomes in patients hospitalized because of mouth cellulitis or Ludwig angina.

METHODS

Nationwide Inpatient Sample for years 2004 to 2010 was used. All hospitalizations with primary diagnosis of cellulitis or Ludwig angina were selected. Discharge trends were examined.

RESULTS

A total of 29,228 hospitalizations occurred as a result of mouth cellulitis/Ludwig angina; 55% of all hospitalizations were male patients; 68% were aged 21 to 60 years. Non-whites comprised close to 40%. The uninsured comprised 22.3%. Ninety-nine patients died in hospitals. The total hospitalization charges across the entire United States over the study period was $772.57 million. Factors associated with increased hospitalization charges included, age, co-morbid burden, insurance status, race, teaching status of hospital, and geographic location.

CONCLUSIONS

Uninsured non-whites, those with high co-morbid burden, and those aged 21 to 60 years tended to be hospitalized consistently over the study period.

Epidemiology of severe sepsis in Japanese intensive care units: a prospective multicenter study

Severe sepsis is a leading cause of morbidity and mortality in the intensive care unit (ICU). We conducted a prospective multicenter study to evaluate epidemiology and outcome of severe sepsis in Japanese ICUs. The patients were registered at 15 general critical care centers in Japanese tertiary care hospitals when diagnosed as having severe sepsis. Of 14,417 patients, 624 (4.3%) were diagnosed with severe sepsis. Demographic and clinical characteristics at enrollment (Day 1), physiologic and blood variables on Days 1 and 4, and mortality were evaluated. Mean age was 69.0 years, and initial mean Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores were 23.4 and 8.6, respectively. The 28-day mortality was 23.1%, and overall hospital mortality was 29.5%. SOFA score and disseminated intravascular coagulation (DIC) score were consistently higher in nonsurvivors than survivors on Days 1 and 4. SOFA score, DIC score on Days 1 and 4, and hospital mortality were higher in patients with than without septic shock. SOFA score on Days 1 and 4 and hospital mortality were higher in patients with than without DIC. Logistic regression analyses showed age, presence of septic shock, DIC, and cardiovascular dysfunction at enrollment to be predictors of 28-day mortality and presence of comorbidity to be an additional predictor of hospital mortality. Presence of septic shock or DIC resulted in approximately twice the mortality of patients without each factor, whereas the presence of comorbidity may be a significant predictor of delayed mortality in severe sepsis.

The PIRO (predisposition, insult, response, organ dysfunction) model: toward a staging system for acute illness

Multimodal therapy for diseases like cancer has only become practicable following the development of staging systems like the TNM (tumor, nodes, metastases) system. Staging enables the identification of subgroups of patients with a disease who not only have a differing prognosis, but who are also more likely to benefit from a specific therapeutic modality. Critically ill patients represent a highly heterogeneous population for whom multiple therapeutic options are potentially available, each carrying not only the potential for differential benefit, but also the potential for differential harm. The PIRO system (predisposition, insult, response, organ dysfunction) is a template proposal for a staging system for acute illness that incorporates assessment of pre-morbid baseline susceptibility (predisposition), the specific disorder responsible for acute illness (insult), the response of the host to that insult, and the resulting degree of organ dysfunction. However the creation of a valid, robust, and clinically useful system presents significant challenges arising from the complexity of the disease state, the lack of a clear phenotype, the confounding influence of the effects of therapy and of cultural and socio-economic factors, and the relatively low profile of acute illness with clinicians and the general public. This review summarizes the rationale for such a model of illness stratification and the results of preliminary cohort studies testing the concept. It further proposes two strategies for building a staging system, recognizing that this will be a demanding undertaking that will require decades of work.