Biological basis of critical illness subclasses: from the bedside to the bench and back again.

Critical illness syndromes including sepsis, acute respiratory distress syndrome, and acute kidney injury (AKI) are associated with high in-hospital mortality and long-term adverse health outcomes among survivors. Despite advancements in care, clinical and biological heterogeneity among patients continues to hamper identification of efficacious therapies. Precision medicine offers hope by identifying patient subclasses based on clinical, laboratory, biomarker and 'omic' data and potentially facilitating better alignment of interventions. Within the previous two decades, numerous studies have made strides in identifying gene-expression based endotypes and clinico-biomarker based phenotypes among critically ill patients associated with differential outcomes and responses to treatment. In this state-of-the-art review, we summarize the biological similarities and differences across the various subclassification schemes among critically ill patients. In addition, we highlight current translational gaps, the need for advanced scientific tools, human-relevant disease models, to gain a comprehensive understanding of the molecular mechanisms underlying critical illness subclasses.

A Systematic Review and Pooled Prevalence of Delirium in Critically Ill Children.

OBJECTIVES: Pediatric delirium is a neuropsychiatric disorder with disrupted cerebral functioning due to underlying disease and/or critical care treatment. Pediatric delirium can be classified as hypoactive, hyperactive, and mixed. This systematic review was conducted to estimate the pooled prevalence of pediatric delirium using validated assessment tools in children (Cornell Assessment of Pediatric Delirium, Pediatric Confusion Assessment Method for the ICU, PreSchool Confusion Assessment Method for the ICU, Pediatric Confusion Assessment Method for the ICU Severity Scale, and Sophia Observation Withdrawal Symptoms Pediatric Delirium scale), identify modifiable and nonmodifiable risk factors, and explore the association of pediatric delirium with clinical outcomes. DATA SOURCES: A systematic search of PubMed, EMBASE, and CINAHL databases was undertaken for full articles pertaining to pediatric delirium prevalence. STUDY SELECTION: No language or date barriers were set. Studies were included where the following eligibility criteria were met: study design aimed to estimate pediatric delirium prevalence arising from treatment in the intensive care setting, using a validated tool. Only randomized controlled trials, cross-sectional studies, or cohort studies allowing an estimate of the prevalence of pediatric delirium were included. DATA EXTRACTION: Data were extracted by the primary researcher (D.S.) and accuracy checked by coauthors. DATA SYNTHESIS: A narrative synthesis and pooled prevalence meta-analysis were undertaken. CONCLUSIONS: Pediatric delirium, as determined by the Cornell Assessment of Pediatric Delirium score, is estimated to occur in 34% of critical care admissions. Eight of 11 studies reporting on subtype identified hypoactive delirium as most prevalent (46-81%) with each of the three remaining reporting either hyperactive (44%), mixed (57%), or equal percentages of hypoactive and mixed delirium (43%) as most prevalent. The development of pediatric delirium is associated with cumulative doses of benzodiazepines, opioids, the number of sedative classes used, deep sedation, and cardiothoracic surgery. Increased time mechanically ventilated, length of stay, mortality, healthcare costs, and associations with decreased quality of life after discharge were also found. Multi-institutional and longitudinal studies are required to better determine the natural history, true prevalence, long-term outcomes, management strategies, and financial implications of pediatric delirium.

Efetividade da infusão estendida de Piperacilina-tazobactana - Meropenem no tratamento de pacientes sépticos adultos queimados através da modelagem farmacocinética farmacodinâmica, PK/P / Meropenem and piperacillin/tazobactam by extended infusion and PK/PD approach for drug effectiveness

Introdução: Meropenem (MER) e Piperacilina/Tazobactana (PTZ) são agentes antimicrobianos largamente prescritos para pacientes grandes queimados internados em Unidade de Terapia Intensiva (UTI) com infecções nosocomiais causadas por Gram-negativos sensíveis CIM 2 mg/L, Enterobacteriaceae, EB e Non-enterobacteriaceae, NEB. A síndrome da resposta inflamatória sistêmica (SRIS) que ocorre durante o choque séptico no grande queimado pode causar alteração na farmacocinética do paciente em terapia intensiva, de modo que a dose recomendada pode não atingir o alvo desejado contra Gram-negativos de sensibilidade intermediária CIM >2 mg/L. Objetivo: Investigar a efetividade dos beta-lactâmicos piperacilina e meropenem na infusão estendida comparada à infusão intermitente recomendada, para os pacientes sépticos grandes queimados através da abordagem farmacocinética-farmacodinâmica (PK/PD). Ética, casuística e procedimentos: Autor e co-autores declararam não haver conflito de interesse. O protocolo foi aprovado, registro CAAE 07525118.3.0000.0068. No presente protocolo de estudo investigaram-se 36 pacientes sépticos grandes queimados, ambos os gêneros (12F/24M) em terapia intensiva do choque séptico com piperacilina-tazobactana 4,5g q6h ou meropenem 1g q8h. Os pacientes incluídos foram estratificados em dois grupos com base na administração através da infusão intermitente, 0,5 h (G1) ou da infusão estendida, 3 h (G2), ambos com 16 pacientes cada. Duas amostras sanguíneas (1,5mL/cada) foram coletadas no estado de equilíbrio (Steady State), 3ª e 5ª hora do início da infusão. Os níveis séricos de PTZ e MER foram mensurados através de cromatografia líquida, e a farmacocinética (PK) dos dois grupos de pacientes foi comparada aos dados reportados em voluntários sadios. A abordagem PK/PD foi aplicada para avaliação da cobertura do antimicrobiano a partir da estimativa do índice de predição de efetividade (% fΔT>CIM) e da probabilidade de alcançar o alvo terapêutico (PTA) com base no alvo PK/PD recomendado, 100%fΔT>CIM. Resultados e discussão: As características de admissão dos pacientes G1/G2 foram expressas através de mediana e interquartil: Clcr 115 (90-148) / 127 (90-170) ml/min; 30 (24-31) / 27 (24- 33,5) anos, 70 (61-75) / 71 (65-75) kg, 30 (20-42) / 33,9 (18-38,4)% área total de superfície queimada, SAPS3 53 (45-57) / 48 (37,8-59,5). Na admissão dos pacientes na UTI registrou-se G1/G2: trauma térmico (17/16), trauma elétrico (1/2), lesão inalatória (11/11), ventilação mecânica (16/9) e vasopressores foram necessários em 15/8 pacientes, G1/G2. Ocorreram diferentes alterações na farmacocinética dos dois beta-lactâmicos após a infusão estendida versus a infusão intermitente quando comparadas com dados relatados em voluntários sadios. Evidenciou-se prolongamento da meia vida decorrente do aumento do volume de distribuição. Estes resultados impactaram diferentemente a cobertura. O monitoramento de biomarcadores inflamatórios expressos em medianas (G1/G2) evidenciou aumento do PCR: 232/183mg/L e leucocitose (leucócitos 11/14 mil cel/mm3, neutrófilos 9/10 mil cel/mm3) na fase precoce do choque séptico. Relativamente à microbiologia dos isolados, a erradicação dos patógenos ocorreu para todos os pacientes após a infusão estendida contra Gram-negativos sensíveis (CIM: 2 mg/L), e de sensibilidade intermediária (CIM 4mg/L) como a K. pneumoniae e P. aeruginosa, enquanto a infusão intermitente garantiu erradicação de patógenos apenas até CIM 2 mg/L. Conclusão: Evidenciou-se a superioridade da infusão estendida frente à infusão intermitente na cobertura dos dois antimicrobianos, no alvo terapêutico considerado 100%fΔT>CIM. Registraram-se alterações na farmacocinética destes agentes nos pacientes frente aos dados reportados para voluntários sadios. Diferença significativa entre grupos (G1/G2) foi encontrada com relação meia vida biológica, e ao volume de distribuição tanto pata a piperacilina quanto para o meropenem

Background: Meropenem (MER) and Piperacillin/Tazobactam (PTZ), antimicrobial betalactam agents are widely prescribed to burn patients from the Intensive Care Unit (ICU) with nosocomial infections caused by Gram-negative strains. Change in the pharmacokinetics of critically ill patient occurs during the systemic inflammatory response syndrome (SIRS) at the course of septic shock. Then, the recommended dose administered by intermittent infusion, 0.5 hr cannot reach the target against gram-negative strains MIC > 2 mg/L. Subject: To investigate drug effectiveness of the beta-lactams piperacilin and meropenem in extended infusion compared to the recommended intermittent infusion in critically ill septic burn patients using pharmacokinetic-pharmacodynamic (PK/PD) approach. Ethics, Casuistry and Methods: All authors declared there is no conflict of interests. Ethical approval CAAE, register 07525118.3.0000.0068. It was investigated in the study protocol 36 septic burn patients of both genders (12M / 24F), undergoing antimicrobial therapy with PTZ 4.5 g q6h or MER 1g q8h. Based on the chosen antimicrobial therapy and drug infusion prescribed by the physician, patients were stratified in groups with intermittent 0.5h infusion (G1) or with the extended 3h infusion (G2), both groups with 16 patients each. Two blood samples were collected at the steady state (1.5mL / each), at the 3rd and 5th hrs of starting the infusion. Serum levels were measured by liquid chromatography. Pharmacokinetics (PK) of MER or PTZ was compared to data reported in healthy volunteers for both groups of patients. PK/PD approach was applied to estimate the drug effectiveness index (fΔT> MIC) and to assess the probability of target attained (PTA) based on the recommended PK/PD target, 100% fΔT> MIC. Results and discussion: Characteristics of patients admission G1/G2 were: Clcr 115(90- 148)/127(90-170) ml/min; 30(24-31)/27(24-34) yrs, 70(61-75)/71(65-75) kg, 30(20- 42)/33.9(18-38.4)% total burn surface area, SAPS3 53(45-57)/48(37.8-59.5), medians (interquartile): thermal trauma occurred (17/16), electric trauma (1/2), inhalation injury (11/11), mechanical ventilation (9/16) and vasopressors required in 15/8 patients. It was demonstrated that different PK changes occurred for both beta-lactam agents after the extended or intermittent infusion by comparison with data reported in healthy volunteers. PK changes were related to the prolongation of biological half-life and increases on volume of distribution with impact on pharmacodynamics. On the other hand, meropenem total body clearance reduced by 50% at the earlier period of septic shock could be explained by the reduction of MER-transporters expression in the tubular renal secretion, once only patients with renal function preserved were included in the study protocol. Inflammatory biomarkers increased at the earlier period of septic shock: C-rp 232/183mg/L; leukocytes 11/14*103cel/mm3, neutrophils 9/10*103cel/mm3, medians, G1/G2. Clinical and microbiological cure was obtained for all patients of G1 against MIC < 2mg/L after intermittent 0.5 h infusion; while PK/PD target was attained for G2 patients undergoing antimicrobial therapy with MER or PTZ by extended infusion against gram negative strains K. pneumoniae, P. aeruginosa up to MIC 4mg L. Conclusion: Superiority of the extended infusion over intermitent infusion was obtained for the two antimicrobials was evidenced, in the therapeutic target considered 100%fΔT>CIM. Changes in the pharmacokinetics of these agents were recorded in patients compared to data reported for healthy volunteers. A significant difference between groups (G1/G2) was found in relation to biological half-life and volume of distribution for both piperacillin and meropenem

[Primary assessment in the emergency department]. / Ersteinschätzungssysteme in der Zentralen Notaufnahme.

First goal in an emergency department must be the immediate recognition of patients at risk. The primary success of therapy depends mainly on whether a critical risk is identified immediately upon arrival at the central emergency department and appropriate therapy is initiated. In order to identify critical patients among the many patients with a wide range of diseases and, nurse-assisted initial assessment systems can help. The assessment thus represents a complex decision-making process to identify critically ill patients in times of high patient volume and limited resources.

Effect of Low-Normal vs High-Normal Oxygenation Targets on Organ Dysfunction in Critically Ill Patients: A Randomized Clinical Trial.

Importance: Hyperoxemia may increase organ dysfunction in critically ill patients, but optimal oxygenation targets are unknown. Objective: To determine whether a low-normal Pao2 target compared with a high-normal target reduces organ dysfunction in critically ill patients with systemic inflammatory response syndrome (SIRS). Design, Setting, and Participants: Multicenter randomized clinical trial in 4 intensive care units in the Netherlands. Enrollment was from February 2015 to October 2018, with end of follow-up to January 2019, and included adult patients admitted with 2 or more SIRS criteria and expected stay of longer than 48 hours. A total of 9925 patients were screened for eligibility, of whom 574 fulfilled the enrollment criteria and were randomized. Interventions: Target Pao2 ranges were 8 to 12 kPa (low-normal, n = 205) and 14 to 18 kPa (high-normal, n = 195). An inspired oxygen fraction greater than 0.60 was applied only when clinically indicated. Main Outcomes and Measures: Primary end point was SOFARANK, a ranked outcome of nonrespiratory organ failure quantified by the nonrespiratory components of the Sequential Organ Failure Assessment (SOFA) score, summed over the first 14 study days. Participants were ranked from fastest organ failure improvement (lowest scores) to worsening organ failure or death (highest scores). Secondary end points were duration of mechanical ventilation, in-hospital mortality, and hypoxemic measurements. Results: Among the 574 patients who were randomized, 400 (70%) were enrolled within 24 hours (median age, 68 years; 140 women [35%]), all of whom completed the trial. The median Pao2 difference between the groups was -1.93 kPa (95% CI, -2.12 to -1.74; P < .001). The median SOFARANK score was -35 points in the low-normal Pao2 group vs -40 in the high-normal Pao2 group (median difference, 10 [95% CI, 0 to 21]; P = .06). There was no significant difference in median duration of mechanical ventilation (3.4 vs 3.1 days; median difference, -0.15 [95% CI, -0.88 to 0.47]; P = .59) and in-hospital mortality (32% vs 31%; odds ratio, 1.04 [95% CI, 0.67 to 1.63]; P = .91). Mild hypoxemic measurements occurred more often in the low-normal group (1.9% vs 1.2%; median difference, 0.73 [95% CI, 0.30 to 1.20]; P < .001). Acute kidney failure developed in 20 patients (10%) in the low-normal Pao2 group and 21 patients (11%) in the high-normal Pao2 group, and acute myocardial infarction in 6 patients (2.9%) in the low-normal Pao2 group and 7 patients (3.6%) in the high-normal Pao2 group. Conclusions and Relevance: Among critically ill patients with 2 or more SIRS criteria, treatment with a low-normal Pao2 target compared with a high-normal Pao2 target did not result in a statistically significant reduction in organ dysfunction. However, the study may have had limited power to detect a smaller treatment effect than was hypothesized. Trial Registration: ClinicalTrials.gov Identifier: NCT02321072.

[The conservative emergency room - care of acutely critically ill non-trauma patients]. / Der konservative Schockraum ­ Versorgung akut kritisch kranker Patienten ohne Trauma.

Treatment of critically ill non-trauma patients is challenging, due to the broad spectrum of underlying diseases in this clinical setting. It has been shown that outcome in these patients is poor due to high age, comorbidities and severeness of acute disease. In most cases it is crucial to establish diagnosis and start specific treatment immediately to improve patients' outcome. In contrast to the management of severely injured patients, general guidelines for the initial diagnostic and therapeutic approaches in these patients have been lacking until now. As a consequence, little is known about both: patients' characteristics and outcome. This article provides an overview of the current information available on this group of patients.All critically ill patients should first be managed in the resuscitation room, as it is necessary to provide the optimal infrastructure, including material and personal resources, to maintain high quality care. For non-trauma patients, indication can be defined using the ABCDE approach. Expertise in emergency ultrasound as a key diagnostic tool, profound knowledge of intensive care treatment and of diagnostic and therapeutic approaches according to current specific guidelines are required. These requirements can be implemented by assembling nursery and medical staff trained in emergency care, supported by accredited continued professional development and regular simulation trainings.The best transition from preclinical to in-hospital care is achieved through detailed preparation and the use of standardized handover tools. Subsequent patient management can be organized using the primary and secondary survey. These aim to detect and treat life threatening pathologies first and, within a second step, to expand the diagnosis and therapy according to the individual case. Special focus should be put on communication, using crew resource management training, and on the provision on an open and constructive approach to making mistakes.

Diagnostic Performance of Hemophagocytic Lymphohistiocytosis Criteria and HScore in Critically Ill Patients With Severe Hemophagocytic Syndrome.

OBJECTIVES: To assess whether critically ill hematologic patients without diagnosis of hemophagocytic lymphohistiocytosis may have features mimicking hemophagocytic lymphohistiocytosis according to both diagnostic scores. DESIGN: A retrospective case-control study. SETTING: Hemophagocytic syndrome diagnosis was standardized and based on a consensual diagnosis by at least two experts of a university hospital which is a reference center for hemophagocytic syndrome. PATIENTS: Cases (hemophagocytic syndrome+) consisted in a group of consecutive patients (n = 150) admitted in our ICU between 2007 and 2018. Control group (hemophagocytic syndrome-) consisted in patients included in a prospective multicenter cohort of hematologic patients in whom three independent experts ruled out the diagnosis of hemophagocytic syndrome (n = 1011). MEASUREMENTS AND MAIN RESULTS: Overall, 1,161 patients were included. Hospital mortality was 45.8% in hemophagocytic syndrome- patients (n = 66) and 38.8% in control patients (n = 392; p = 0.126). Median HScore was 235 (205-262) in hemophagocytic syndrome+ and 42 (18-62) in hemophagocytic syndrome- patients (p < 0.001); number of hemophagocytic lymphohistiocytosis criteria was 4 (4-5) vs 1 (0-1), respectively (p < 0.001). Diagnostic performances of both scores were excellent with area under receiver operating characteristic curve of 0.99 (95% CI, 0.99-0.99) and 0.99 (95% CI, 0.99-0.99) for hemophagocytic lymphohistiocytosis and HScore, respectively. After propensity score matching (n = 144 × 2), the median HScore was 234 (205-262) in hemophagocytic syndrome+ patients versus 49 (18-71) in hemophagocytic syndrome- patients (p < 0.001). Median number of hemophagocytic lymphohistiocytosis criteria was 4 (4-5) in hemophagocytic syndrome+ and 1 (0-1) in hemophagocytic syndrome- patients (p < 0.001). Area under receiver operating characteristic curve was then of 0.98 (95% CI, 0.96-0.99) for hemophagocytic lymphohistiocytosis criteria and 0.99 (95% CI, 0.99-1) for HScore. CONCLUSIONS: In ICU patients, several conditions share some similarities with hemophagocytic syndrome, explaining the poor predictive value of isolated biological markers such as ferritin level. Despite these potential confounding factors, our study suggests HScore and hemophagocytic lymphohistiocytosis criteria to be highly discriminant identifying hemophagocytic syndrome in critically ill patients.

Long-term Survival of Critically Ill Patients Stratified According to Pandemic Triage Categories: A Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic has led to unprecedented demand for ICUs, with the need to triage admissions along with the development of ICU triage criteria. However, how these criteria relate to outcomes in patients already admitted to the ICU is unknown, as is the incremental ICU capacity that triage of these patients might create given existing admission practices. RESEARCH QUESTION: What is the short- and long-term survival of low- vs high-priority patients for ICU admission according to current pandemic triage criteria? STUDY DESIGN AND METHODS: This study analyzed prospectively collected registry data (2007-2018) in 23 ICUs in Victoria, Australia, with probabilistic linkage with death registries. After excluding elective surgery, admissions were stratified according to existing ICU triage protocol prioritization as low (age ≥ 85 years, or severe chronic illness, or Sequential Organ Failure Assessment [SOFA] score = 0 or ≥ 12), medium (SOFA score = 8-11) or high (SOFA score = 1-7) priority. The primary outcome was long-term survival. Secondary outcomes were in-hospital mortality, ICU length of stay (LOS) and bed-day usage. RESULTS: This study examined 126,687 ICU admissions. After 5 years of follow-up, 1,093 of 3,296 (33%; 95% CI, 32-34) of "low-priority" patients aged ≥ 85 years or with severe chronic illness and 86 of 332 (26%; 95% CI, 24-28) with a SOFA score ≥ 12 were still alive. Sixty-three of 290 (22%; 95% CI, 17-27) of patients in these groups followed up for 10 years were still alive. Together, low-priority patients accounted for 27% of all ICU bed-days and had lower in-hospital mortality (22%) than the high-priority patients (28%). Among nonsurvivors, low-priority admissions had shorter ICU LOS than medium- or high-priority admissions. INTERPRETATION: Current SOFA score or age or severe comorbidity-based ICU pandemic triage protocols exclude patients with a close to 80% hospital survival, a > 30% five-year survival, and 27% of ICU bed-day use. These findings imply the need for stronger evidence-based ICU triage protocols.

Invasive aspergillosis in critically ill patients: Review of definitions and diagnostic approaches.

Invasive aspergillosis (IA) is an increasingly recognised phenomenon in critically ill patients in the intensive care unit, including in patients with severe influenza and severe coronavirus disease 2019 (COVID-19) infection. To date, there are no consensus criteria on how to define IA in the ICU population, although several criteria are used, including the AspICU criteria and new consensus criteria to categorise COVID-19-associated pulmonary aspergillosis (CAPA). In this review, we describe the epidemiology of IA in critically ill patients, most common definitions used to define IA in this population, and most common clinical specimens obtained for establishing a mycological diagnosis of IA in the critically ill. We also review the most common diagnostic tests used to diagnose IA in this population, and lastly discuss the most common clinical presentation and imaging findings of IA in the critically ill and discuss areas of further needed investigation.

Outcomes of left ventricular assist device implantation for advanced heart failure in critically ill patients (INTERMACS 1 and 2): A retrospective study.

The use of left ventricular assist devices (LVADs) for advanced heart failure is becoming increasingly common. However, optimal timing and patient selection remain controversial. The aim of this study was to investigate outcomes of LVAD implantation for advanced heart failure in critically ill patients (INTERMACS 1 and 2). Between August 2010 and January 2020, 207 consecutive patients underwent LVAD implantation. Overall survival, major adverse events, and laboratory parameters were compared between patients in INTERMACS 1-2 (n = 107) and INTERMACS 3-5 (n = 100). Preoperative white blood cells, C-reactive protein, procalcitonin, bilirubin, alanine transaminase, and lactate dehydrogenase were all significantly higher in INTERMACS 1-2 when compared to INTERMACS 3-5 (P < .05). During hospitalization following LVAD implantation, patients in INTERMACS 1-2 were more likely to develop major infections (41.1% vs. 23.0%, P = .005), respiratory failure (57.9% vs. 25.0%, P < .001), mild (20.6% vs. 8.0%, P = .010), and moderate (31.8% vs. 7.0%, P < .001) right heart failure, and acute renal dysfunction (56.1% vs. 6.0%, P < .001). During a median follow-up of 2.00 years (interquartile range (IQR) 0.24-3.39 years), they had a higher incidence of thoracic (15.9% vs. 4.0%, P = .005) and gastrointestinal bleeding (21.5% vs. 11.0%, P = .042), as well as right heart failure (18.7% vs. 1%, P < .001). Risk of death was significantly higher in the INTERMACS 1-2 group (hazards ratio (HR) 1.64, 95% CI 1.12-2.40, P = .011). LVAD implantation in critically ill patients is associated with increased morbidity and mortality. Our results suggest that decision for LVAD should be not be delayed until INTERMACS 1 and 2 levels whenever possible.

Are prognostic tools losing accuracy? Development and performance of a novel age-calibrated severity scoring system for critically ill patients.

OBJECTIVE: This study aimed to assess the performance of a commonly used ICU severity score (SAPS3) and determine whether an alternative scoring system may be more accurate across all age strata. METHODS: Retrospective cohort study in a general ICU in Brazil. A secondary analysis was performed with clinical and epidemiological data, present in the first 24 hours of unit admission. Then, a binary logistic regression, followed by cross-validation, was made to develop a novel prognostic tool. ICU mortality was the primary outcome evaluated. RESULTS: A total of 3042 patients were included over the study period between August 2015 and July 2018 with a median age of 67 ± 18.4 years. SAPS3 performed fairly in prediction of ICU mortality, particularly in the 80 years or older subset. Multivariable regression identified variables independently associated with mortality that were used to develop the Age Calibrated ICU Score (ACIS) tool that performed similarly to SAPS3 across age categories, being slightly superior in the very elderly population (AUC 0.80 vs 0.72). CONCLUSIONS: The ACIS offers a robust and simple tool to predict ICU mortality, particularly in an increasingly elderly critical care population.

The CAM-ICU-7 and ICDSC as measures of delirium severity in critically ill adult patients.

BACKGROUND: In clinical practice, a dichotomous approach to delirium identification may no longer be relevant when existing delirium screening tools measure a range of scores. The objective of this study was to compare the Confusion Assessment Method for the Intensive Care Unit 7-item (CAM-ICU-7) and the Intensive Care Delirium Screening Checklist (ICDSC) as measures of the spectrum of delirium severity in critically ill adult patients. METHODS: In this cross-sectional study, 218 patients underwent 641 paired assessments by bedside nurses (ICDSC, as per usual care) and trained research assistants (CAM-ICU-7). Correlation between the CAM-ICU-7 and ICDSC scores was evaluated. Logistic regression was used to explore associations between CAM-ICU-7 or ICDSC score and length of ICU stay and mechanical ventilation (receipt, ≥96 hours). RESULTS: Delirium prevalence evaluated by the CAM-ICU-7 and ICDSC were 46.3% (95% CI:39.7-53.0) and 34.4% (95% CI:28.3-41.0). Prevalence of less than clinical threshold symptoms of delirium evaluated by the CAM-ICU-7 (score: 1-2) and ICDSC (score: 1-3) were 30.3% (95%CI:24.5-36.7) and 50.9% (95%CI:44.3-57.6). The CAM-ICU-7 and ICDSC had significant positive correlation (0.58, p<0.001). Agreement between the tools as measures of delirium was moderate (kappa = 0.51) and as measures of less than clinical threshold symptoms of delirium was fair (kappa = 0.21). Less than clinical threshold symptoms of delirium identified by the ICDSC, not CAM-ICU-7, were associated with prolonged length of ICU stay (≥7 days) in patients <65 years of age [Odds Ratio (OR) 9.2, 95% CI:2.5-34.0] and mechanical ventilation (receipt: OR 2.8, 95% CI:1.3-6.4; ≥96 hours: OR 6.6, 95% CI:1.9-22.9), when compared to patients with no delirium. CONCLUSIONS: The CAM-ICU-7 and ICDSC are measures of the spectrum of delirium severity that are closely correlated. Less than clinical threshold symptoms of delirium measure by the ICDSC is a better predictor of outcomes, when compared with the CAM-ICU-7.

The circular RNA landscape in specific peripheral blood mononuclear cells of critically ill patients with sepsis.

BACKGROUND: Dysregulation of the host immune response is a pathognomonic feature of sepsis. Abnormal physiological conditions are understood to shift efficient linear splicing of protein-coding RNA towards non-canonical splicing, characterized by the accumulation of non-coding circularized (circ)RNA. CircRNAs remain unexplored in specific peripheral blood mononuclear cells (PBMCs) during sepsis. We here sought to identify and characterize circRNA expression in specific PBMCs of patients with sepsis due to community-acquired pneumonia (CAP) relative to healthy subjects. METHODS: The study comprised a discovery cohort of six critically ill patients diagnosed with sepsis due to community-acquired pneumonia and four (age, gender matched) healthy subjects. PBMCs were isolated, and fluorescence-activated cell sorting was used to purify CD14+ monocytes, CD4+, CD8+ T cells, and CD19+ B cells for RNA sequencing. CD14+ monocytes from independent six healthy volunteers were purified, and total RNA was treated with or without RNase R. RESULTS: RNA sequencing of sorted CD14+ monocytes, CD4+, CD8+ T cells, and CD19+ B cells from CAP patients and healthy subjects identified various circRNAs with predominantly cell-specific expression patterns. CircRNAs were expressed to a larger extent in monocytes than in CD4+, CD8+ T cells, or B cells. Cells from CAP patients produced significantly higher levels of circRNA as compared to healthy subjects. Considering adjusted p values, circVCAN (chr5:83519349-83522309) and circCHD2 (chr15:93000512-93014909) levels in monocytes were significantly altered in sepsis. Functional inference per cell-type uncovered pathways mainly attuned to cell proliferation and cytokine production. In addition, our data does not support a role for these circRNAs in microRNA sequestration. Quantitative PCR analysis in purified monocytes from an independent group of healthy volunteers confirmed the existence of circVCAN and circCHD2. CONCLUSIONS: We provide a benchmark map of circRNA expression dynamics in specific immune cell subsets of sepsis patients secondary to CAP. CircRNAs were more abundant in immune cells of sepsis patients relative to healthy subjects. Further studies evaluating circRNA expression in larger cohorts of sepsis patients are warranted.

Subphenotypes in critical care: translation into clinical practice.

Despite progress in the supportive care available for critically ill patients, few advances have been made in the search for effective disease-modifying therapeutic options. The fact that many trials in critical care medicine have not identified a treatment benefit is probably due, in part, to the underlying heterogeneity of critical care syndromes. Numerous approaches have been proposed to divide populations of critically ill patients into more meaningful subgroups (subphenotypes), some of which might be more useful than others. Subclassification systems driven by clinical features and biomarkers have been proposed for acute respiratory distress syndrome, sepsis, acute kidney injury, and pancreatitis. Identifying the systems that are most useful and biologically meaningful could lead to a better understanding of the pathophysiology of critical care syndromes and the discovery of new treatment targets, and allow recruitment in future therapeutic trials to focus on predicted responders. This Review discusses proposed subphenotypes of critical illness syndromes and highlights the issues that will need to be addressed to translate subphenotypes into clinical practice.

Defining persistent critical illness based on growth trajectories in patients with sepsis.

BACKGROUND: Persistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transition time varies between latent classes of patients. METHODS: This was a retrospective cohort study involving sepsis patients in the eICU Collaborative Research Database. Persistent critical illness was defined at the time when acute physiological characteristics were no longer more predictive of in-hospital mortality (i.e., vital status at hospital discharge) than antecedent characteristics. Latent growth mixture modeling was used to identify distinct trajectory classes by using Sequential Organ Failure Assessment score measured during intensive care unit stay as the outcome, and persistent critical illness transition time was explored in each latent class. RESULTS: The mortality was 16.7% (3828/22,868) in the study cohort. Acute physiological model was no longer more predictive of in-hospital mortality than antecedent characteristics at 15 days after intensive care unit admission in the overall population. Only a minority of the study subjects (n = 643, 2.8%) developed persistent critical illness, but they accounted for 19% (15,834/83,125) and 10% (19,975/198,833) of the total intensive care unit and hospital bed-days, respectively. Five latent classes were identified. Classes 1 and 2 showed increasing Sequential Organ Failure Assessment score over time and transition to persistent critical illness occurred at 16 and 27 days, respectively. The remaining classes showed a steady decline in Sequential Organ Failure Assessment scores and the transition to persistent critical illness occurred between 6 and 8 days. Elevated urea-to-creatinine ratio was a good biochemical signature of persistent critical illness. CONCLUSIONS: While persistent critical illness occurred in a minority of patients with sepsis, it consumed vast medical resources. The transition time differs substantially across latent classes, indicating that the allocation of medical resources should be tailored to different classes of patients.

Predicting the clinical trajectory in critically ill patients with sepsis: a cohort study.

BACKGROUND: To develop a mathematical model to estimate daily evolution of disease severity using routinely available parameters in patients admitted to the intensive care unit (ICU). METHODS: Over a 3-year period, we prospectively enrolled consecutive adults with sepsis and categorized patients as (1) being at risk for developing (more severe) organ dysfunction, (2) having (potentially still reversible) limited organ failure, or (3) having multiple-organ failure. Daily probabilities for transitions between these disease states, and to death or discharge, during the first 2 weeks in ICU were calculated using a multi-state model that was updated every 2 days using both baseline and time-varying information. The model was validated in independent patients. RESULTS: We studied 1371 sepsis admissions in 1251 patients. Upon presentation, 53 (4%) were classed at risk, 1151 (84%) had limited organ failure, and 167 (12%) had multiple-organ failure. Among patients with limited organ failure, 197 (17%) evolved to multiple-organ failure or died and 809 (70%) improved or were discharged alive within 14 days. Among patients with multiple-organ failure, 67 (40%) died and 91 (54%) improved or were discharged. Treatment response could be predicted with reasonable accuracy (c-statistic ranging from 0.55 to 0.81 for individual disease states, and 0.67 overall). Model performance in the validation cohort was similar. CONCLUSIONS: This prediction model that estimates daily evolution of disease severity during sepsis may eventually support clinicians in making better informed treatment decisions and could be used to evaluate prognostic biomarkers or perform in silico modeling of novel sepsis therapies during trial design. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT01905033.

More comprehensively measuring quality of life in life-threatening illness: the McGill Quality of Life Questionnaire - Expanded.

BACKGROUND: Domains other than those commonly measured (physical, psychological, social, and sometimes existential/spiritual) are important to the quality of life of people with life-threatening illness. The McGill Quality of Life Questionnaire (MQOL) - Revised measures the four common domains. The aim of this study was to create a psychometrically sound instrument, MQOL - Expanded, to comprehensively measure quality of life by adding to MQOL-Revised the domains of cognition, healthcare, environment, (feeling like a) burden, and possibly, finance. METHODS: Confirmatory factor analyses were conducted on three datasets to ascertain whether seven new items belonged with existing MQOL-Revised domains, whether good model fit was obtained with their addition as five separate domains to MQOL-Revised, and whether a second-order factor representing overall quality of life was present. People with life-threatening illnesses (mainly cancer) or aged > 80 were recruited from 15 healthcare sites in seven Canadian provinces. Settings included: palliative home care and inpatient units; acute care units; oncology outpatient clinics. RESULTS: Good model fit was obtained when adding each of the five domains separately to MQOL-Revised and for the nine correlated domains. Fit was acceptable for a second-order factor model. The financial domain was removed because of low importance. The resulting MQOL-Expanded is a 21-item instrument with eight domains (fit of eight correlated domains: Comparative Fit Index = .96; Root Mean Square Error of Approximation = .033). CONCLUSIONS: MQOL-Expanded builds on MQOL-Revised to more comprehensively measure the quality of life of people with life-threatening illness. Our analyses provide validity evidence for the MQOL-Expanded domain and summary scores; the need for further validation research is discussed. Use of MQOL-Expanded will enable a more holistic understanding of the quality of life of people with a life-threatening illness and the impact of treatments and interventions upon it. It will allow for a better understanding of less commonly assessed but important life domains (cognition, healthcare, environment, feeling like a burden) and their relationship to the more commonly assessed domains (physical, psychological, social, existential/spiritual).

Comparison of International Consensus Conference guidelines and WIND classification for weaning from mechanical ventilation in Brazilian critically ill patients: A retrospective cohort study.

The knowledge of weaning ventilation period is fundamental to understand the causes and consequences of prolonged weaning. In 2007, an International Consensus Conference (ICC) defined a classification of weaning used worldwide. However, a new definition and classification of weaning (WIND) were suggested in 2017. The objective of this study was to compare the incidence and clinical relevance of weaning according to ICC and WIND classification in an intensive care unit (ICU) and establish which of the classifications fit better for severely ill patients. This study was a retrospective cohort study in an ICU in a tertiary University Hospital. Patient data, such as population characteristics, mechanical ventilation (MV) duration, weaning classification, mortality, SAPS 3, and death probability, were obtained from a medical records database of all patients, who were admitted to ICU between January 2016 and July 2017. Three hundred twenty-seven mechanically ventilated patients were analyzed. Using the ICC classification, 82% of the patients could not be classified, while 10%, 5%, and 3% were allocated in simple, difficult, and prolonged weaning, respectively. When WIND was used, 11%, 6%, 26%, and 57% of the patients were classified into short, difficult, prolonged, and no weaning groups, respectively. Patients without classification were sicker than those that could be classified by ICC. Using WIND, an increase in death probability, MV days, and tracheostomy rate was observed according to weaning difficult. Our results were able to find the clinical relevance of WIND classification, mainly in prolonged, no weaning, and severely ill patients. All mechanically ill patients were classified, even those sicker with tracheostomy and those that could not finish weaning, thereby enabling comparisons among different ICUs. Finally, it seems that the new classification fits better in the ICU routine, especially for more severe and prolonged weaning patients.

Identifying Older Adults With Serious Illness: Transitioning From ICD-9 to ICD-10.

CONTEXT: Identifying the seriously ill population is integral to improving the value of health care. Efforts to identify this population using existing data are anchored to a list of severe medical conditions (SMCs) using diagnostic codes. Published approaches have used International Classification of Diseases, Ninth Revision (ICD-9) codes, which has since been replaced by ICD-10. OBJECTIVES: We translated SMCs from ICD-9 to ICD-10 using a refined code list. We aimed to test the hypothesis that people identified by ICD-9 or ICD-10 codes would have similar Medicare costs, health care utilization, and mortality. METHODS: Using data from the National Health and Aging Trends Study linked to Medicare claims, we compared samples from periods using ICD-9 (2014) and ICD-10 (2016). We included participants with six-month fee-for-service Medicare data before their interview date who had an SMC identified within that period. We compared the groups' demographic, functional, and medical characteristics and followed up them for six months to compare outcomes. RESULTS: Among subjects in the 2016 (ICD-10) sample, 19.9% were hospitalized, 24.6% used the emergency department, 7.2% died, and average Medicare spending totaled $9902.04 over six months of follow-up. We observed no significant differences between the 2014 and 2016 samples (P > 0.05); both samples represent 18% of Medicare fee-for-service beneficiaries. CONCLUSION: Identifying the seriously ill population using currently available data requires using ICD-10 to define SMCs. Routine measurement of function, quality of life, and caregiver strain will further enhance the identification process and efficiently target palliative care services and appropriate quality measures.

The diagnostic accuracy of clinical examination for estimating cardiac index in critically ill patients: the Simple Intensive Care Studies-I.

PURPOSE: Clinical examination is often the first step to diagnose shock and estimate cardiac index. In the Simple Intensive Care Studies-I, we assessed the association and diagnostic performance of clinical signs for estimation of cardiac index in critically ill patients. METHODS: In this prospective, single-centre cohort study, we included all acutely ill patients admitted to the ICU and expected to stay > 24 h. We conducted a protocolised clinical examination of 19 clinical signs followed by critical care ultrasonography for cardiac index measurement. Clinical signs were associated with cardiac index and a low cardiac index (< 2.2 L min-1 m2) in multivariable analyses. Diagnostic test accuracies were also assessed. RESULTS: We included 1075 patients, of whom 783 (73%) had a validated cardiac index measurement. In multivariable regression, respiratory rate, heart rate and rhythm, systolic and diastolic blood pressure, central-to-peripheral temperature difference, and capillary refill time were statistically independently associated with cardiac index, with an overall R2 of 0.30 (98.5% CI 0.25-0.35). A low cardiac index was observed in 280 (36%) patients. Sensitivities and positive and negative predictive values were below 90% for all signs. Specificities above 90% were observed only for 110/280 patients, who had atrial fibrillation, systolic blood pressures < 90 mmHg, altered consciousness, capillary refill times > 4.5 s, or skin mottling over the knee. CONCLUSIONS: Seven out of 19 clinical examination findings were independently associated with cardiac index. For estimation of cardiac index, clinical examination was found to be insufficient in multivariable analyses and in diagnostic accuracy tests. Additional measurements such as critical care ultrasonography remain necessary.