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Purpose Clinical characteristics and management of COVID-19 patients have evolved during the pandemic, potentially changing their outcomes. We analyzed the associations of changes in mortality rates with clinical profiles and respiratory support strategies in COVID-19 critically ill patients. Methods A multicenter cohort of RT-PCR-confirmed COVID-19 patients admitted at 126 Brazilian intensive care units between February 27th and October 28th, 2020. Assessing temporal changes in deaths, we identified distinct time periods. We evaluated the association of characteristics and respiratory support strategies with 60-day in-hospital mortality using random-effects multivariable Cox regression with inverse probability weighting. Results Among the 13,301 confirmed-COVID-19 patients, 60-day in-hospital mortality was 13%. Across four time periods identified, younger patients were progressively more common, non-invasive respiratory support was increasingly used, and the 60-day in-hospital mortality decreased in the last two periods. 4188 patients received advanced respiratory support (non-invasive or invasive), from which 42% underwent only invasive mechanical ventilation, 37% only non-invasive respiratory support and 21% failed non-invasive support and were intubated. After adjusting for organ dysfunction scores and premorbid conditions, we found that younger age, absence of frailty and the use of non-invasive respiratory support (NIRS) as first support strategy were independently associated with improved survival (hazard ratio for NIRS first [95% confidence interval], 0.59 [0.54–0.65], p

Objectives Coronavirus disease 19 (COVID-19) is a major cause of hospital admission and represents a challenge for patient management during intensive care unit (ICU) stay. We aimed to describe the clinical course and outcomes of COVID-19 pneumonia in critically ill patients. Methods We performed a systematic search of peer-reviewed publications in MEDLINE, EMBASE and the Cochrane Library up to 15th August 2020. Preprints and reports were also included if they met the inclusion criteria. Study eligibility criteria were full-text prospective, retrospective or registry-based publications describing outcomes in patients admitted to the ICU for COVID-19, using a validated test. Participants were critically ill patients admitted in the ICU with COVID-19 infection. Results From 32 articles included, a total of 69 093 patients were admitted to the ICU and were evaluated. Most patients included in the studies were male (76 165/128 168, 59%, 26 studies) and the mean patient age was 56 (95%CI 48.5–59.8) years. Studies described high ICU mortality (21 145/65 383, 32.3%, 15 studies). The median length of ICU stay was 9.0 (95%CI 6.5–11.2) days, described in five studies. More than half the patients admitted to the ICU required mechanical ventilation (31 213/53 465, 58%, 23 studies) and among them mortality was very high (27 972/47 632, 59%, six studies). The duration of mechanical ventilation was 8.4 (95%CI 1.6–13.7) days. The main interventions described were the use of non-invasive ventilation, extracorporeal membrane oxygenation, renal replacement therapy and vasopressors. Conclusions This systematic review, including approximately 69 000 ICU patients, demonstrates that COVID-19 infection in critically ill patients is associated with great need for life-sustaining interventions, high mortality, and prolonged length of ICU stay.

The digitalization of the Intensive Care Unit (ICU) led to an increasing amount of clinical data being collected at the bedside. The term "Big Data" can be used to refer to the analysis of these datasets that collect enormous amount of data of different origin and format. Complexity and variety define the value of Big Data. In fact, the retrospective analysis of these datasets allows to generate new knowledge, with consequent potential improvements in the clinical practice. Despite the promising start of Big Data analysis in medical research, which has seen a rising number of peer-reviewed articles, very limited applications have been used in ICU clinical practice. A close future effort should be done to validate the knowledge extracted from clinical Big Data and implement it in the clinic. In this article, we provide an introduction to Big Data in the ICU, from data collection and data analysis, to the main successful examples of prognostic, predictive and classification models based on ICU data. In addition, we focus on the main challenges that these models face to reach the bedside and effectively improve ICU care.

Acute physiologic derangements and multiple organ dysfunction are common after subarachnoid hemorrhage. We aimed to evaluate the simplified acute physiology score 3 (SAPS-3) and the sequential organ failure assessment (SOFA) scores for the prediction of in-hospital mortality in a large multicenter cohort of SAH patients. This was a retrospective analysis of prospectively collected data from 45 ICUs in Brazil, during 2014 and 2015. Patients admitted with non-traumatic subarachnoid hemorrhage (SAH) were included. Clinical and outcome data were retrieved from an electronic ICU quality registry. SAPS-3 and SOFA scores, without the neurological components (i.e., nSAPS-3 and nSOFA, respectively) were recorded, as well as the World Federation of Neurological Surgeons (WFNS) scale. We used multilevel logistic regression analysis to identify factors associated with in-hospital mortality. We evaluated performance using the area under the receiver operating characteristic curve (AUROC), as well as calibration belts and precision–recall plots. The study included 997 patients, from which 426 (43%) had poor clinical grade (WFNS 4 or 5) and in-hospital mortality was 34%. Median nSAPS-3 and nSOFA score at admission were 46 (IQR: 38–55) and 2 (0–5), respectively. Non-survivors were older, had higher nSAPS-3 and nSOFA, and more often poor grade. After adjustment for age, poor grade and withdrawal of life sustaining therapies, multivariable analysis identified nSAPS-3 and nSOFA score as independent clinical predictors of in-hospital mortality. The AUROC curve that included nSAPS-3 and nSOFA scores significantly improved the already good discrimination and calibration of age and WFNS to predict in-hospital mortality (AUROC: 0.89 for the full final model vs. 0.85 for age and WFNS; P

Purpose: To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3. Material and methods: We used data from two distinct large cohorts of adult Brazilian patients with unplanned ICU admissions to perform a first-level customization (43,017 patients admitted to 78 ICUs) of the original SMS-ICU score for in-hospital mortality and, sequentially, externally validate it (313,365 patients admitted to 99 ICUs). Performance of SMS-ICU was assessed through measurements of discrimination and calibration and compared with SAPS 3. Results: In the validation cohort, median SMS-ICU was 13 (IQR 8-16) points and median SAPS 3 was 44 (IQR 36-51). Discrimination of SMS-ICU was good (AUC 0.817; 95% CI 0.814-0.819) but slightly lower than of SAPS 3 (AUC 0.845; 95% CI 0.843-0.848;). The customized SMS-ICU predictions were comparable to SAPS 3 in terms of calibration. Conclusion: In this external validation of the SMS-ICU in a large Brazilian cohort, we observed good discrimination of SMS-ICU and acceptable calibration after first-level customization. SMS-ICU can be used as a measure of illness severity for acutely admitted ICU patients in clinical studies.

To describe international variation in interprofessional rounds in intensive care units (ICUs).Survey of ICU clinicians on their practices and perceptions of rounds using societal mailing lists and social media.Out of 2402 respondents, 1752 (72.8%) use rounds. Teams are mostly composed of intensivists, nurses and medical trainees. The majority of rounds (57.5%) last2 h, and North Americans report the highest rates of rounds allowing family attendance (92.4%). Shorter rounds (1-2 h, OR 0.67, 0.52-0.86, p 0.01;1 h, OR 0.72, 0.53-0.97, p = 0.03), and strategies such as designating a person for writing (OR 0.73, 0.57-0.95, p = 0.01), and designating a person to assist other patients (OR 0.75, 0.57-0.98, p = 0.04) are associated with a lower perception of negative outcomes. Using daily goals during rounds is associated with a higher perception of positive outcomes (OR 1.85, 1.17-2.90, p 0.01).Three-quarters of respondents perform rounds, and models of rounds are heterogeneous, creating challenges for future studies on improving rounds. Respondents reporting better outcomes also experience shorter rounds, and adopt strategies such as discussion of daily goals, and designation individuals for writing or assisting other patients during rounds.

Purpose of review Critical care registries are synonymous with measurement of outcomes following critical illness. Their ability to provide longitudinal data to enable benchmarking of outcomes for comparison within units over time, and between units, both regionally and nationally is a key part of the evaluation of quality of care and ICU performance as well as a better understanding of case-mix. This review aims to summarize literature on outcome measures currently being reported in registries internationally, describe the current strengths and challenges with interpreting existing outcomes and highlight areas where registries may help improve implementation and interpretation of both existing and new outcome measures. Recent findings Outcomes being widely reported through ICU registries include measures of survival, events of interest, patient-reported outcomes and measures of resource utilization (including cost). Despite its increasing adoption, challenges with quality of reporting of outcomes measures remain. Measures of short-term survival are feasible but those requiring longer follow-ups are increasingly difficult to interpret given the evolving nature of critical care in the context of acute and chronic disease management. Furthermore, heterogeneity in patient populations and in healthcare organisations in different settings makes use of outcome measures for international benchmarking at best complex, requiring substantial advances in their definitions and implementation to support those seeking to improve patient care. Summary Digital registries could help overcome some of the current challenges with implementing and interpreting ICU outcome data through standardization of reporting and harmonization of data. In addition, ICU registries could be instrumental in enabling data for feedback as part of improvement in both patient-centred outcomes and in service outcomes; notably resource utilization and efficiency.

Hospital length of stay and mortality are associated with resource use and clinical severity, respectively, in patients admitted to the intensive care unit (ICU) with acute stroke. We proposed a structured data-driven methodology to develop length of stay and 30-day mortality prediction models in a large multicenter Brazilian ICU cohort.We analyzed data from 130 ICUs from 43 Brazilian hospitals. All consecutive adult patients admitted with stroke (ischemic or nontraumatic hemorrhagic) to the ICU from January 2011 to December 2020 were included. Demographic data, comorbidities, acute disease characteristics, organ support, and laboratory data were retrospectively analyzed by a data-driven methodology, which included seven different types of machine learning models applied to training and test sets of data. The best performing models, based on discrimination and calibration measures, are reported as the main results. Outcomes were hospital length of stay and 30-day in-hospital mortality.Of 17,115 ICU admissions for stroke, 16,592 adult patients (13,258 ischemic and 3334 hemorrhagic) were analyzed; 4298 (26%) patients had a prolonged hospital length of stay ( 14 days), and 30-day mortality was 8% (n = 1392). Prolonged hospital length of stay was best predicted by the random forests model (Brier score = 0.17, area under the curve = 0.73, positive predictive value = 0.61, negative predictive value = 0.78). Mortality prediction also yielded the best discrimination and calibration through random forests (Brier score = 0.05, area under the curve = 0.90, positive predictive value = 0.66, negative predictive value = 0.94). Among the 20 strongest contributor variables in both models were (1) premorbid conditions (e.g., functional impairment), (2) multiple organ dysfunction parameters (e.g., hypotension, mechanical ventilation), and (3) acute neurological aspects of stroke (e.g., Glasgow coma scale score on admission, stroke type).Hospital length of stay and 30-day mortality of patients admitted to the ICU with stroke were accurately predicted through machine learning methods, even in the absence of stroke-specific data, such as the National Institutes of Health Stroke Scale score or neuroimaging findings. The proposed methods using general intensive care databases may be used for resource use allocation planning and performance assessment of ICUs treating stroke. More detailed acute neurological and management data, as well as long-term functional outcomes, may improve the accuracy and applicability of future machine-learning-based prediction algorithms.

Corticosteroids have been used for decades in the adjunctive treatment of severe infections in intensive care. The most frequent scenario in intensive care is in septic shock, where low doses of glucocorticoids appear to restore vascular responsiveness to norepinephrine. There is a strong body of evidence suggesting that hydrocortisone reduces time on vasopressor, and may modulate the immune response. In this review, we explore the current evidence supporting the use of corticosteroids in septic shock, its benefits, and potential harms. In addition to landmark clinical trials, we will also describe new frontiers for the use of corticosteroids in septic shock which should be explored in future studies.

Objective Describe characteristics and outcomes of CAP admitted to public ICUs in Brazil. Methods Retrospective cohort study in 4 Tertiary Public Hospitals in Rio de Janeiro, Brazil during 2016. Patients admitted to ICUs with a diagnosis of community-acquired pneumonia were included. Clinical and outcomes data were collected from Epimed Monitor System. Results From 7902 admissions, 802 patients (10, 1%) were included and analyzed. Main source of admission was the emergency department (78, 3%). Median age was 66 (IQR 54–77) years, SAPS3 71(IQR 58–83) and SOFA D1 9(IQR 5–12) points. 67% of patients needed invasive mechanical ventilation, 12% hemodialysis. 47% required vasopressors. ICU and hospital mortality were 55.9% and 66.5% respectively. In a multivariate analysis, malnutrition [OR 2.28(1.21–4.3)], septic shock at admission [OR 1.95(1.39–2.75)], AIDS [3.04(1.16–7.93]), invasive mechanical ventilation [5.07(5.54–7.27)], age > 65 years [2.07(1.48–2.90)] and LOS >1 day before ICU admission [1.90(1.34–2.71)] were associated with increased mortality. Conclusion CAP is associated with high mortality in patients admitted to public ICUs in Brazil. The current findings may help improve resource allocation and should aim at improving access to ICU care since delayed admission was associated with increased hospital mortality.

Severity of illness scores are used for benchmarking and assessment of adjusted mortality in intensive care units (ICU). Te Acute Physiology and Chronic Health Evaluation (APACHE) and the Simplifed Acute Physiology Score (SAPS) 3 scores were recently evaluated in ICU patients with coronavirus disease 2019 (COVID-19) with conficting fndings. While in the cohorts from United Kingdom and United States ICU scores underestimated the actual mortality and poorly stratifed disease severity, analyses from Austria using the SAPS-3 with frst-level customization suggested satisfactory performance. In this study, we aimed to evaluate the performance of SAPS-3 to predict hospital mortality in a large cohort of COVID-19 patients admitted to ICUs in Brazil.

Coronavirus disease 19 (COVID-19) has posed unprecedented healthcare system challenges, some of which will lead to transformative change. It is obvious to healthcare workers and policymakers alike that an effective critical care surge response must be nested within the overall care delivery model. The COVID-19 pandemic has highlighted key elements of emergency preparedness. These include having national or regional strategic reserves of personal protective equipment, intensive care unit (ICU) devices, consumables and pharmaceuticals, as well as effective supply chains and efficient utilization protocols. ICUs must also be prepared to accommodate surges of patients and ICU staffing models should allow for fluctuations in demand. Pre-existing ICU triage and end-of-life care principles should be established, implemented and updated. Daily workflow processes should be restructured to include remote connection with multidisciplinary healthcare workers and frequent communication with relatives. The pandemic has also demonstrated the benefits of digital transformation and the value of remote monitoring technologies, such as wireless monitoring. Finally, the pandemic has highlighted the value of pre-existing epidemiological registries and agile randomized controlled platform trials in generating fast, reliable data. The COVID-19 pandemic is a reminder that besides our duty to care, we are committed to improve. By meeting these challenges today, we will be able to provide better care to future patients. ispartof: INTENSIVE CARE MEDICINE vol:47 issue:3 pages:282-291 ispartof: location:United States status: published

The length of stay (LOS) in the intensive care unit (ICU) is one of the most commonly used metrics for quality of care. Despite its potential limitations, ICU LOS is easy to measure, reproducible and can be used as a proxy for resource use, costs, and efficiency.(1) Moreover, it is a patientcentered outcome; therefore, it is of interest to multiple stakeholders, such as patients and families, managers, payors, and ICU personnel. However, in most circumstances, the ICU LOS is used retrospectively to assess ICU efficiency or to understand patients with a long LOS and, thus, elevated costs of care. Therefore, patient LOS prediction at ICU admission could help coordinate care, implement preventive measures, and better communicate with managers, payors, and families, setting realistic expectations.

The extraordinary pace of research on coronavirus disease 2019 (COVID-19) has been one of the major success stories of the pandemic. Therapeutic trials involving thousands of patients, which usually take years to complete, have been reported in a matter of months. National and international registries and networks have reported on tens of thousands of patients in near real time. However, there have also been many challenges: hundreds of trials have been underpowered, duplicated, or of poor quality; excessive bureaucracy has complicated study initiation; and only a small percentage of eligible patients worldwide have been enrolled in studies, while many others have been treated with off-label, unproven therapies. All of this has been complicated by an “infodemic” of low-quality medical information, accelerated by social media. info:eu-repo/semantics/publishedVersion

RESUMO Objetivo: Construir um modelo de custo-efetividade para comparar o uso de propofol com o de midazolam em pacientes críticos adultos sob uso de ventilação mecânica. Métodos: Foi construído um modelo de árvore decisória para pacientes críticos submetidos à ventilação mecânica, o qual foi analisado sob a perspectiva do sistema privado de saúde no Brasil. O horizonte temporal foi o da internação na unidade de terapia intensiva. Os desfechos foram custo-efetividade por hora de permanência na unidade de terapia intensiva evitada e custo-efetividade por hora de ventilação mecânica evitada. Foram obtidos os dados do modelo a partir de metanálise prévia. Assumiu-se que o custo da medicação estava incluído nos custos da unidade de terapia intensiva. Conduziram-se análises univariada e de sensibilidade probabilística. Resultados: Pacientes mecanicamente ventilados em uso de propofol tiveram diminuição de sua permanência na unidade de terapia intensiva e na duração da ventilação mecânica, respectivamente, em 47,97 horas e 21,65 horas. Com o uso de propofol, ocorreu redução média do custo de U$2.998,971 em comparação ao uso do midazolam. A custo-efetividade por hora de permanência na unidade de terapia intensiva evitada e por hora de ventilação mecânica evitada foi dominante, respectivamente, em 94,40% e 80,8% do tempo. Conclusão: Ocorreu diminuição significante do custo associado ao uso de propofol, no que se refere à permanência na unidade de terapia intensiva e à duração da ventilação mecânica para pacientes críticos adultos. ABSTRACT Objective: To build a cost-effectiveness model to compare the use of propofol versus midazolam in critically ill adult patients under mechanical ventilation. Methods: We built a decision tree model for critically ill patients submitted to mechanical ventilation and analyzed it from the Brazilian private health care system perspective. The time horizon was that of intensive care unit hospitalization. The outcomes were cost-effectiveness per hour of intensive care unit stay avoided and cost-effectiveness per hour of mechanical ventilation avoided. We retrieved data for the model from a previous meta-analysis. We assumed that the cost of medication was embedded in the intensive care unit cost. We conducted univariate and probabilistic sensitivity analyses. Results: Mechanically ventilated patients using propofol had their intensive care unit stay and the duration of mechanical ventilation decreased by 47.97 hours and 21.65 hours, respectively. There was an average cost reduction of US$ 2,998.971 for propofol when compared to midazolam. The cost-effectiveness per hour of intensive care unit stay and mechanical ventilation avoided were dominant 94.40% and 80.8% of the time, respectively. Conclusion: There was a significant reduction in costs associated with propofol use related to intensive care unit stay and duration of mechanical ventilation for critically ill adult patients.

International audience; Benchmarking is a common and effective method for measuring and analyzing ICU performance. With the existence of national registries, objective information can now be obtained to allow benchmarking of ICU care within and between countries. The present manuscript briefly describes the current status of benchmarking in healthcare and critical care and presents the LOGIC project, an initiative to promote international benchmarking for intensive care units. Currently 13 registries have joined LOGIC. We showed large differences in the utilization of ICU as well as resources and in outcomes. Despite the need for careful interpretation of differences due to variation in definitions and limited risk adjustment, LOGIC is a growing worldwide initiative that allows access to insightful epidemiologic data from ICUs in multiple databases and registries.

Compare outcomes of adult patients admitted to ICU- length of ICU stay, length of mechanical ventilation (MV), and time until extubation- according to the use of propofol versus midazolam.We searched MEDLINE, EMBASE, LILACS, and Cochrane databases to retrieve RCTs that compared propofol and midazolam used as sedatives in adult ICU patients. We applied a random-effects, meta-analytic model in all calculations. We applied the Cochrane collaboration tool and GRADE. We separated patients into two groups: acute surgical patients (hospitalization up to 24 h) and critically-ill patients (hospitalization over 24 h and whose articles mostly mix surgical, medical and trauma patients).Globally, propofol was associated with a reduced MV time of 4.46 h (MD: -4.46 [95% CI -7.51 to -1.42] p = 0.004, I2 = 63%, 6 studies) and extubation time of 7.95 h (MD: -7.95 [95% CI -9.86 to -6.03] p0.00001, I2 = 98%, 16 studies). Acute surgical patients sedation with propofol compared to midazolam was associated with a reduced ICU stay of 5.07 h (MD: -5.07 [95% CI -8.68 to -1.45] p = 0.006, I2 = 41%, 5 studies), MV time of 4.28 h (MD: -4.28; [95% CI -4.62 to -3.94] p0.0001, I2 = 0%, 3 studies), extubation time of 1.92 h (MD: -1.92; [95% CI -2.71 to -1.13] p = 0.00001, I2 = 89%, 9 studies). In critically-ill patients sedation with propofol compared to midazolam was associated with a reduced extubation time of 32.68 h (MD: -32.68 [95% CI -48.37 to -16.98] p = 0.0001, I2 = 97%, 9 studies). GRADE was very low for all outcomes.Sedation with propofol compared to midazolam is associated with improved clinical outcomes in ICU, with reduced ICU stay MV time and extubation time in acute surgical patients and reduced extubation time in critically-ill patients.

The delivery of critical care is a major challenge for developing countries [1]. The inequity of access to an ICU bed, heterogeneous triage policies, a low staff/patient ratio and suboptimal adherence to evidence-based practices contribute to disproportionally high mortality of sepsis and acute respiratory distress syndrome in these countries [2,3,4,5]. In addition, limited step-down and specialized ward beds’ availability further widens the gap between critical and non-critical care inside hospitals. As the COVID-19 pandemic spreads through the world, developing countries are challenged with the surge of pneumonia cases where up to 30% of all hospitalized cases will require ICU admission [6]. In August 2020, Brazil is a hotspot of COVID-19 with more than 100,000 deaths. Other Latin American countries such as Mexico, Peru, Colombia, and Chile are also among the 10 countries with most cases worldwide. Several factors seem to have contributed to the dramatic progress of the epidemic in the country. Initial measures of social distancing were adopted at the beginning of the epidemic in several states. However, the lack of central coordination and, at a certain point, the denial of the pandemic by a populist government meant that more effective measures such as lockdown were not adopted whereas use of unproven therapies such as hydroxychloroquine was encouraged. Also, the low availability of tests and progression towards the interior and peripheries of large cities made the epidemic hard to control causing overwhelming hospitals and ICUs.

Purpose: To describe trends in outcomes of cancer patients with unplanned admissions to intensive-care units (ICU) according to cancer type, organ support use, and performance status (PS) over an 8-year period. Methods: We retrospectively analyzed prospectively collected data from all cancer patients admitted to 92 medical–surgical ICUs from July/2011 to June/2019. We assessed trends in mortality through a Bayesian hierarchical model adjusted for relevant clinical confounders and whether there was a reduction in ICU length-of-stay (LOS) over time using a competing risk model. Results: 32,096 patients (8.7% of all ICU admissions; solid tumors, 90%; hematological malignancies, 10%) were studied. Bed/days use by cancer patients increased up to more than 30% during the period. Overall adjusted mortality decreased by 9.2% [95% credible interval (CI), 13.1–5.6%]. The largest reductions in mortality occurred in patients without need for organ support (9.6%) and in those with need for mechanical ventilation (MV) only (11%). Smallest reductions occurred in patients requiring MV, vasopressors, and dialysis (3.9%) simultaneously. Survival gains over time decreased as PS worsened. Lung cancer patients had the lowest decrease in mortality. Each year was associated with a lower sub-hazard for ICU death [SHR 0.93 (0.91–0.94)] and a higher chance of being discharged alive from the ICU earlier [SHR 1.01 (1–1.01)]. Conclusion: Outcomes in critically ill cancer patients improved in the past 8 years, with reductions in both mortality and ICU LOS, suggesting improvements in overall care. However, outcomes remained poor in patients with lung cancer, requiring multiple organ support and compromised PS.

Objectives: To test whether differences in both general and sepsis-specific patient characteristics explain the observed differences in sepsis mortality between countries, using two national critical care (ICU) databases. Design: Cohort study. Setting: We analyzed 62 and 164 ICUs in Brazil and England, respectively. Patients: Twenty-two–thousand four-hundred twenty-six adult ICU admissions from January 2013 to December 2013. Interventions: None. Measurements and Main Results: After harmonizing relevant variables, we merged the first ICU episode of adult medical admissions from Brazil (ORganizational CHaractEeriSTics in cRitical cAre study) and England (Intensive Care National Audit & Research Centre Case Mix Programme). Sepsis-3 definition was used, and the primary outcome was hospital mortality. We used multilevel logistic regression models to evaluate the impact of country (Brazil vs England) on mortality, after adjustment for general (age, sex, comorbidities, functional status, admission source, time to admission) and sepsis-specific (site of infection, organ dysfunction type and number) patient characteristics. Of medical ICU admissions, 13.2% (4,505/34,150) in Brazil and 30.7% (17,921/58,316) in England met the sepsis definition. The Brazil cohort was older, had greater prevalence of severe comorbidities and dependency compared with England. Respiratory was the most common infection site in both countries. The most common organ dysfunction was cardiovascular in Brazil (41.2%) and respiratory in England (85.8%). Crude hospital mortality was similar (Brazil 41.4% vs England 39.3%; odds ratio, 1.12 [0.98–1.30]). After adjusting for general patient characteristics, there was an important change in the point-estimate of the odds ratio (0.88 [0.75–1.02]). However, after adjusting for sepsis-specific patient characteristics, the direction of effect reversed again with Brazil having higher risk-adjusted mortality (odds ratio, 1.22 [1.05–1.43]). Conclusions: Patients with sepsis admitted to ICUs in Brazil and England have important differences in general and sepsis-specific characteristics, from source of admission to organ dysfunctions. We show that comparing crude mortality from sepsis patients admitted to the ICU between countries, as currently performed, is not reliable and that the adjustment for both general and sepsis-specific patient characteristics is essential for valid international comparisons of mortality amongst sepsis patients admitted to critical care units. Drs. Rowan and Soares are senior authors. † In memoriam. The views expressed in this publication are those of the author(s) and not necessarily those of the National Health Service, the National Institute for Health Research or the Department of Health. Drs. Ranzani and Shankar-Hari are equal contributors. Dr. Ranzani did data analyses. Drs. Ranzani and Shankar-Hari wrote the first draft of the article. Drs. Harrison, Rabello, Salluh, Rowan, and Soares led data collection. Dr. Rabello died during the peer-review process of this article. All authors unanimously agreed on her fundamental contribution for this study. All authors conceptualized and designed the study, interpreted data, and critically revised the article. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/ccmjournal). The original ORganizational CHaractEeriSTics in cRitical cAre study was supported by the National Council for Scientific and Technological Development (Grant number 304240/2014-1), Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro and by departmental funds from the D’Or Institute for Research and Education. The Case Mix Programme is a subscription-based, national quality assessment program. The current study was funded internally by Intensive Care National Audit & Research Centre. The funding sources had no role in the design, conduct or analyses of the study. Dr. Shankar-Hari is supported by the National Institute for Health Research Clinician Scientist Award (NIHR-CS-2016-16-011). Dr. Soares disclosed that he is founder and equity shareholder at Epimed Solutions. The remaining authors have disclosed that they do not have any potential conflicts of interest. For information regarding this article, E-mail: otavioranzani@usp.br Copyright © by 2018 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

Given the rapidly changing nature of COVID-19, clinicians and policy makers require urgent review and summary of the literature, and synthesis of evidence-based guidelines to inform practice. The WHO advocates for rapid reviews in these circumstances. The purpose of this rapid guideline is to provide recommendations on the organizational management of intensive care units caring for patients with COVID-19 including: planning a crisis surge response; crisis surge response strategies; triage, supporting families, and staff. Electronic supplementary material The online version of this article (10.1007/s00134-020-06092-5) contains supplementary material, which is available to authorized users.

Characteristics of structure and process impact ICU performance and the outcomes of critically ill patients. We sought to identify organizational characteristics associated with efficient ICUs in low-resource settings.This is a secondary analysis of a multicenter cluster-randomized clinical trial in Brazil (CHECKLIST-ICU). Efficient units were defined by standardized mortality ratio (SMR) and standardized resource use (SRU) lower than the overall medians and non-efficient otherwise. We used a regularized logistic regression model to evaluate associations between organizational factors and efficiency.From 118 ICUs (13,635 patients), 47 units were considered efficient and 71 non-efficient. Efficient units presented lower incidence rates (median[IQR]) of central line-associated bloodstream infections (4.95[0.00-22.0] vs 6.29[0.00-25.6], p = .04), utilization rates of mechanical ventilation (0.41[0.07-0.73] vs 0.58[0.19-0.82], p .001), central venous catheter (0.67[0.15-0.98] vs 0.78[0.33-0.98], p = .04), and indwelling urinary catheter (0.62[0.22-0.95] vs 0.76[0.32-0.98], p .01) than non-efficient units. The reported active surveillance of ventilator-associated pneumonia (OR = 1.72; 95%CI, 1.16-2.57) and utilization of central venous catheters (OR = 1.94; 95%CI, 1.32-2.94) were associated with efficient ICUs.In low-resource settings, active surveillance of nosocomial infections and the utilization of invasive devices were associated with efficiency, supporting the management and evaluation of performance indicators as a starting point for improvement in ICU.

Submitted by DSpace Unilasalle (dspace@unilasalle.edu.br) on 2021-09-10T23:12:37Z No. of bitstreams: 1 The role of steroids in severe CAP.pdf: 232136 bytes, checksum: fc65c7581dcec5c29d337042cb681d4c (MD5) Made available in DSpace on 2021-09-10T23:12:37Z (GMT). No. of bitstreams: 1 The role of steroids in severe CAP.pdf: 232136 bytes, checksum: fc65c7581dcec5c29d337042cb681d4c (MD5) Previous issue date: 2020 Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality despite adequate antibiotic therapy. It is the single most common cause of infection-related mortality in the United States. An exaggerated host inflammatory response can potentially be harmful to both the lung and host, and has been associated with treatment failure and mortality. Modulation of inflammatory response may, therefore, be theoretically beneficial. The anti–inflammatory and immunosuppressive effects of steroids seem an attractive therapeutic option in severe CAP patients. Available datapoint to overall shorter time to clinical stability and decreased length-of-stay in CAP patients, with a potential mortality benefit in severe CAP. The level of evidence is, however, low to moderate regarding mortality due to high heterogeneity and insufficient power of data. Furthermore, steroids were deleterious in influenza pneumonia and in patients with pneumococcal pneumonia data suggest a lack of efficacy and potential harm. Both European and American guidelines recommend not using corticosteroids in CAP. Patients who might benefit and those that can be harmed from steroids remain to be clearly identified, as does the ideal steroid for CAP patients, based on pharmacokinetic and pharmacodynamic properties. It is essential for future studies to avoid the same methodological bias present in the available data so that high-quality evidence on the true role of steroids in CAP can be provided.

Nosocomial pneumonia is a frequent and severe nosocomial infection divided in two distinct groups: hospital-acquired pneumonia and ventilator-associated pneumonia (VAP). In this context, the VAP is notoriously difficult to diagnose clinically, resulting from the lack of a 'gold standard' method of diagnosis.The use of biomarkers may potentially improve the early diagnosis of infections allowing earlier and better identification and treatment. An exhausting list of biomarkers has been studied and although far from perfect, procalcitonin (PCT) and C-reactive protein (CRP) are the most studied biomarkers used in clinical practice. Data coming from literature suggests the use of PCT for VAP prognosis and as a based algorithm tool for the reduction of duration of pneumonia therapy, as well as, the use of the CRP dynamics to the early prediction of VAP and the response to the antibiotics.The evidence for the use of biomarkers to diagnose nosocomial pneumonia as a stand-alone tool is low to moderate. Improved performance for both PCT and CRP can be obtained by using them in association with clinical features or scoring systems but prospective studies are still needed to validate this hypothesis.

Background: It is unclear whether influenza infection and associated co-infection are associated with patient-important outcomes in critically ill immunocompromised patients with acute respiratory failure. Methods: Preplanned secondary analysis of EFRAIM, a prospective cohort study of 68 hospitals in 16 countries. We included 1611 patients aged 18 years or older with non-AIDS-related immunocompromise, who were admitted to the ICU with acute hypoxemic respiratory failure. The main exposure of interest was influenza infection status. The primary outcome of interest was all-cause hospital mortality, and secondary outcomes ICU length of stay (LOS) and 90-day mortality. Results: Influenza infection status was categorized into four groups: patients with influenza alone (n = 95, 5.8%), patients with influenza plus pulmonary co-infection (n = 58, 3.6%), patients with non-influenza pulmonary infection (n = 820, 50.9%), and patients without pulmonary infection (n = 638, 39.6%). Influenza infection status was associated with a requirement for intubation and with LOS in ICU (P < 0.001). Patients with influenza plus co-infection had the highest rates of intubation and longest ICU LOS. On crude analysis, influenza infection status was associated with ICU mortality (P < 0.001) but not hospital mortality (P = 0.09). Patients with influenza plus co-infection and patients with non-influenza infection alone had similar ICU mortality (41% and 37% respectively) that was higher than patients with influenza alone or those without infection (33% and 26% respectively). A propensity score-matched analysis did not show a difference in hospital mortality attributable to influenza infection (OR = 1.01, 95%CI 0.90-1.13, P = 0.85). Age, severity scores, ARDS, and performance status were all associated with ICU, hospital, and 90-day mortality. Conclusions: Category of infectious etiology of respiratory failure (influenza, non-influenza, influenza plus co-infection, and non-infectious) was associated with ICU but not hospital mortality. In a propensity score-matched analysis, influenza infection was not associated with the primary outcome of hospital mortality. Overall, influenza infection alone may not be an independent risk factor for hospital mortality in immunosuppressed patients., SCOPUS: ar.j, info:eu-repo/semantics/published

Fernando A. Bozza. Fundacao Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Documento produzido em parceria ou por autor vinculado a Fiocruz, mas nao consta a informacao no documento.

For decades, corticosteroids are proposed as adjuvant therapies for severe infections. Despite mounting evidence from randomized controlled trials, there is still an intense debate regarding the role of systemic low-dose corticosteroids as a part of the treatment of septic shock. In the present article, we review the current literature and detail aspects on the pathophysiologic rationale, the current evidence, actual practice, and future directions on this topic.

Purpose To investigate the impact of organizational characteristics and processes of care on hospital mortality and resource use in patients with cancer admitted to intensive care units (ICUs). Patients and Methods We performed a retrospective cohort study of 9,946 patients with cancer (solid, n = 8,956; hematologic, n = 990) admitted to 70 ICUs (51 located in general hospitals and 19 in cancer centers) during 2013. We retrieved patients’ clinical and outcome data from an electronic ICU quality registry. We surveyed ICUs regarding structure, organization, staffing patterns, and processes of care. We used mixed multivariable logistic regression analysis to identify characteristics associated with hospital mortality and efficient resource use in the ICU. Results Median number of patients with cancer per center was 110 (interquartile range, 58 to 154), corresponding to 17.9% of all ICU admissions. ICU and hospital mortality rates were 15.9% and 25.4%, respectively. After adjusting for relevant patient characteristics, presence of clinical pharmacists in the ICU (odds ratio [OR], 0.67; 95% CI, 0.49 to 0.90), number of protocols (OR, 0.92; 95% CI, 0.87 to 0.98), and daily meetings between oncologists and intensivists for care planning (OR, 0.69; 95% CI, 0.52 to 0.91) were associated with lower mortality. Implementation of protocols (OR, 1.52; 95% CI, 1.11 to 2.07) and meetings between oncologists and intensivists (OR, 4.70; 95% CI, 1.15 to 19.22) were also independently associated with more efficient resource use. Neither admission to ICUs in cancer centers compared with general hospitals nor annual case volume had an impact on mortality or resource use. Conclusion Organizational aspects, namely the implementation of protocols and presence of clinical pharmacists in the ICU, and close collaboration between oncologists and ICU teams are targets to improve mortality and resource use in critically ill patients with cancer.

The massive consumption of antibiotics in the ICU is responsible for substantial ecological side effects that promote the dissemination of multidrug-resistant bacteria (MDRB) in this environment. Strikingly, up to half of ICU patients receiving empirical antibiotic therapy have no definitively confirmed infection, while de-escalation and shortened treatment duration are insufficiently considered in those with documented sepsis, highlighting the potential benefit of implementing antibiotic stewardship programs (ASP) and other quality improvement initiatives. The objective of this narrative review is to summarize the available evidence, emerging options, and unsolved controversies for the optimization of antibiotic therapy in the ICU. Published data notably support the need for better identification of patients at risk of MDRB infection, more accurate diagnostic tools enabling a rule-in/rule-out approach for bacterial sepsis, an individualized reasoning for the selection of single-drug or combination empirical regimen, the use of adequate dosing and administration schemes to ensure the attainment of pharmacokinetics/pharmacodynamics targets, concomitant source control when appropriate, and a systematic reappraisal of initial therapy in an attempt to minimize collateral damage on commensal ecosystems through de-escalation and treatment-shortening whenever conceivable. This narrative review also aims at compiling arguments for the elaboration of actionable ASP in the ICU, including improved patient outcomes and a reduction in antibiotic-related selection pressure that may help to control the dissemination of MDRB in this healthcare setting.

Background Although light sedation levels are associated with several beneficial outcomes for critically ill patients on mechanical ventilation, the majority of patients are still deeply sedated. Organizational factors may play a role on adherence to light sedation levels. We aimed to identify organizational factors associated with a moderate to light sedation target on the first 48 h of mechanical ventilation, as well as the association between early achievement of within-target sedation and mortality. Methods This study is a secondary analysis of a multicenter two-phase study (prospective cohort followed by a cluster-randomized controlled trial) performed in 118 Brazilian ICUs. We included all critically ill patients who were on mechanical ventilation 48 h after ICU admission. A moderate to light level of sedation or being alert and calm (i.e., the Richmond Agitation-Sedation Scale of − 3 to 0) was the target for all patients on mechanical ventilation during the study period. We collected data on the type of hospital (public, private, profit and private, nonprofit), hospital teaching status, nursing and physician staffing, and presence of sedation, analgesia, and weaning protocols. We used multivariate random-effects regression with ICU and study phase as random-effects and correction for patients’ Simplified Acute Physiology Score 3 and Sequential Organ Failure Assessment. We also performed a mediation analysis to explore whether sedation level was just a mediator of the association between organizational factors and mortality. Results We included 5719 patients. Only 1710 (29.9%) were on target sedation levels on day 2. Board-certified intensivists on the morning and afternoon shifts were associated with an adequate sedation level on day 2 (OR = 2.43; CI 95%, 1.09–5.38). Target sedation levels were associated with reduced hospital mortality (OR = 0.63; CI 95%, 0.55–0.72). Mediation analysis also suggested such an association, but did not suggest a relationship between the physician staffing model and hospital mortality. Conclusions Board-certified intensivists on morning and afternoon shifts were associated with an increased number of patients achieving lighter sedation goals. These findings reinforce the importance of organizational factors, such as intensivists’ presence, as a modifiable quality improvement target. Electronic supplementary material The online version of this article (10.1186/s13054-019-2323-y) contains supplementary material, which is available to authorized users.

Ventilator-associated tracheobronchitis (VAT) has been suggested as an intermediate process between tracheobronchial colonization and ventilator-associated pneumonia (VAP) in patients receiving mechanical ventilation. The aim of this study was to evaluate the ability of C-reactive protein (CRP) and procalcitonin (PCT) to differentiate between VAT and VAP.Pre-planned analysis of the prospective multinational TAVeM database, performed on 2960 patients receiving mechanical ventilation for48 h, including 689 patients with VA-LRTI. Patients with the diagnosis of VAT or VAP microbiologically documented and with one measurement of CRP and/or PCT on the day of diagnosis were included.Four hundred and four patients (mean age 63 years, 298 men, ICU mortality 40%) were studied, 207 with VAT and 197 with VAP. On the day of infection diagnosis, the median CRP was elevated in both groups but significantly higher in VAP (18 mg/dL vs. 14 mg/dL, p = .001). Median PCT was also significantly higher in VAP (2.1 ng/dL vs. 0.64 ng/d L, p .001). Both biomarkers could not help distinguish between VAT and VAP.Although PCT and CRP presented lower values in VAT as compared to VAP, there was a marked overlap of both biomarkers values in both VA-LRTI not allowing adequate discrimination.

Detailed information on organization and process of care in intensive care units (ICU) in emerging countries is scarce. Here, we investigated the impact of organizational factors on the outcomes and resource use in a large sample of Brazilian ICUs. Retrospective cohort study of 59,693 patients (medical admissions, 67 %) admitted to 78 ICUs during 2013. We retrieved patients’ data from an ICU quality registry and surveyed ICUs regarding structure, organization, staffing patterns, and process of care. We used multilevel logistic regression analysis to identify factors associated with hospital mortality. Efficient resource use was assessed by estimating standardized resource use and mortality rates adjusted for the SAPS 3 score. ICUs were mostly medical-surgical (79 %) and located at private hospitals (86 %). Median nurse to bed ratio was 0.20 (IQR, 0.15–0.28) and board-certified intensivists were present 24/7 in 16 (21 %) of ICUs. Multidisciplinary rounds occurred in 67 (86 %) and daily checklists were used in 36 (46 %) ICUs. Most frequent protocols focused on sepsis management and prevention of healthcare-associated infections. Hospital mortality was 14.4 %. In multivariable analysis, the number of protocols was the only organizational characteristic associated with mortality [odds ratio = 0.944 (95 % CI 0.904–0.987)]. The effects of protocols were consistent across subgroups including surgical and medical patients as well as the SAPS 3 tertiles. We also observed a significant trend toward efficient resource use as the number of protocols increased. In emerging countries such as Brazil, organizational factors, including the implementation of protocols, are potential targets to improve patient outcomes and resource use in ICUs.

Frail patients are known to experience poor outcomes. Nevertheless, we know less about how frailty manifests itself in patients’ physiology during critical illness and how it affects resource use in intensive care units (ICU). We aimed to assess the association of frailty with short-term outcomes and organ support used by critically ill patients. Retrospective analysis of prospective collected data from 93 ICUs in Brazil from 2014 to 2015. We assessed frailty using the modified frailty index (MFI). The primary outcome was in-hospital mortality. Secondary outcomes were discharge home without need for nursing care, ICU and hospital length of stay (LOS), and utilization of ICU organ support and transfusion. We used mixed logistic regression and competing risk models accounting for relevant confounders in outcome analyses. The analysis consisted of 129,680 eligible patients. There were 40,779 (31.4%) non-frail (MFI = 0), 64,407 (49.7%) pre-frail (MFI = 1–2) and 24,494 (18.9%) frail (MFI ≥ 3) patients. After adjusted analysis, frailty was associated with higher in-hospital mortality (OR 2.42, 95% CI 1.89–3.08), particularly in patients admitted with lower SOFA scores. Frail patients were less likely to be discharged home (OR 0.36, 95% CI 0.54–0.79) and had higher hospital and ICU LOS than non-frail patients. Use of all forms of organ support (mechanical ventilation, non-invasive ventilation, vasopressors, dialysis and transfusions) were more common in frail patients and increased as MFI increased. Frailty, as assessed by MFI, was associated with several patient-centered endpoints including not only survival, but also ICU LOS and organ support.

Objective: To assess whether ventilator-associated lower respiratory tract infections (VA-LRTIs) are associated with mortality in critically ill patients with acute respiratory distress syndrome (ARDS). Materials and Methods: Post hoc analysis of prospective cohort study including mechanically ventilated patients from a multicenter prospective observational study (TAVeM study); VA-LRTI was defined as either ventilator-associated tracheobronchitis (VAT) or ventilator-associated pneumonia (VAP) based on clinical criteria and microbiological confirmation. Association between intensive care unit (ICU) mortality in patients having ARDS with and without VA-LRTI was assessed through logistic regression controlling for relevant confounders. Association between VA-LRTI and duration of mechanical ventilation and ICU stay was assessed through competing risk analysis. Contribution of VA-LRTI to a mortality model over time was assessed through sequential random forest models. Results: The cohort included 2960 patients of which 524 fulfilled criteria for ARDS; 21% had VA-LRTI (VAT = 10.3% and VAP = 10.7%). After controlling for illness severity and baseline health status, we could not find an association between VA-LRTI and ICU mortality (odds ratio: 1.07; 95% confidence interval: 0.62-1.83; P = .796); VA-LRTI was also not associated with prolonged ICU length of stay or duration of mechanical ventilation. The relative contribution of VA-LRTI to the random forest mortality model remained constant during time. The attributable VA-LRTI mortality for ARDS was higher than the attributable mortality for VA-LRTI alone. Conclusion: After controlling for relevant confounders, we could not find an association between occurrence of VA-LRTI and ICU mortality in patients with ARDS.

Introduction Higher mortality for patients admitted to intensive care units (ICUs) during the weekends has been occasionally reported with conflicting results that could be related to organisational factors. We investigated the effects of ICU organisational and staffing patterns on the potential association between weekend admission and outcomes in critically ill patients. Methods We included 59 614 patients admitted to 78 ICUs participating during 2013. We defined ‘weekend admission’ as any ICU admission from Friday 19:00 until Monday 07:00. We assessed the association between weekend admission with hospital mortality using a mixed logistic regression model controlling for both patient-level (illness severity, age, comorbidities, performance status and admission type) and ICU-level (decrease in nurse/bed ratio on weekend, full-time intensivist coverage, use of checklists on weekends and number of institutional protocols) confounders. We performed secondary analyses in the subgroup of scheduled surgical admissions. Results A total of 41 894 patients (70.3%) were admitted on weekdays and 17 720 patients (29.7%) on weekends. In univariable analysis, weekend admitted patients had higher ICU (10.9% vs 9.0%, P

Evaluate sequential C-reactive protein (CRP) measurements and patterns of CRP-ratio response to antibiotic therapy during first 7days in Pediatric Intensive Care Unit (PICU) of septic children.Prospective, cohort study of children (1month-12years) admitted at 3 PICUs, with diagnosis of sepsis with72h course. CRP-ratio was calculated in relation to D0_CRP value. Children were classified according to an individual pattern of CRP-ratio response: fast - CRP_D4 of therapy was0.4 of D0_CRP; slow - continuous but slow decrease of CRP; non - CRP remained ≥0.8 of D0_CRP; biphasic - initial CRP decrease to levels0.8 of D0_CRP followed by secondary rise ≥0.8.103 septic children (age-median: 2yrs; 54% male) were prospectively included (infection focus: 65% respiratory, 12.5% central nervous system). Overall PICU mortality was 11.7%. 102 children could be classified according to a predefined CRP-ratio response pattern. Time-dependent analysis of CRP-ratio and CRP course of the different patterns were significantly different. Besides, PICU mortality rate was significantly different according CRP-ratio response patterns: fast response 4.5%; slow response 5.8%; non-response 29.4%; biphasic response 42.8%.In pediatric sepsis, CRP-ratio serial evaluation was useful in early identification of patients with poor outcome.

Background Subsyndromal delirium (SSD) is a frequent condition and has been commonly described as an intermediate stage between delirium and normal cognition. However, the true frequency of SSD and its impact on clinically relevant outcomes in the intensive care unit (ICU) remains unclear. Methods We performed a systematic search in PubMed, Embase, CINAHL, Cochrane Library, and PsychINFO, with no language restrictions, up to 1 October 2016 to identify publications that evaluated SSD in ICU patients. Results The six eligible studies were evaluated. SSD was present in 950 (36%) patients. Four studies evaluated only surgical patients. Four studies used the Intensive Care Delirium Screening Checklist (ICDSC) and two used the Confusion Assessment Method (CAM) score to diagnose SSD. The meta-analysis showed an increased hospital length of stay (LOS) in SSD patients (0.31, 0.12–0.51, p = 0.002; I 2 = 34%). Hospital mortality was described in two studies but it was not significant (hazard ratio 0.97, 0.61–1.55, p = 0.90 and 5% vs 9%, p = 0.05). The use of antipsychotics in SSD patients to prevent delirium was evaluated in two studies but it did not modify ICU LOS (6.5 (4–8) vs 7 (4–9) days, p = 0.66 and 2 (2–3) vs 3 (2–3) days, p = 0.517) or mortality (9 (26.5%) vs 7 (20.6%), p = 0.55). Conclusions SSD occurs in one-third of the ICU patients and has limited impact on the outcomes. The current literature concerning SSD is composed of small-sample studies with methodological differences, impairing a clear conclusion about the association between SSD and progression to delirium or worse ICU clinical outcomes. Electronic supplementary material The online version of this article (doi:10.1186/s13054-017-1765-3) contains supplementary material, which is available to authorized users.

Describe the patterns of C-reactive protein relative changes in response to antibiotic therapy in critically ill cancer patients with healthcare-associated pneumonia (HCAP) and its ability to predict outcome.Secondary analysis of a prospective cohort of critically ill cancer patients with HCAP. CRP was sampled every other day from D0 to D6 of antibiotic therapy. Patients were classified according to an individual pattern of CRP-ratio response: fast - CRP at D4 of therapy was0.4 of D0 CRP; slow - a continuous but slow decrease of CRP; non - CRP remained ≥0.8 of D0 CRP; biphasic - initial CRP decrease to levels0.8 of the D0 CRP followed by a secondary rise ≥0.8.129 patients were included and septic shock was present in 74% and invasive mechanical ventilation was used in 73%. Intensive care unit (ICU) and hospital mortality rates were 47% and 64%, respectively. By D4, both CRP and CRP-ratio of survivors were significantly lower than in nonsurvivors (p0.001 and p=0.004, respectively). Both time-dependent analysis of CRP-ratio of the four previously defined patterns (p0.001) as ICU mortality were consistently different [fast 12.9%, slow 43.2%, biphasic 66.7% and non 71.8% (p0.001)].CRP-ratio was useful in the early prediction of poor outcomes in cancer patients with HCAP.

Contains fulltext : 182587.pdf (Publisher’s version ) (Closed access) Over the coming years, accelerating progress against cancer will be associated with an increased number of patients who require life-sustaining therapies for infectious or toxic chemotherapy-related events. Major changes include increased number of cancer patients admitted to the ICU with full-code status or for time-limited trials, increased survival and quality of life in ICU survivors, changing prognostic factors, early ICU admission for optimal monitoring, and use of noninvasive diagnostic and therapeutic strategies. In this review, experts in the management of critically ill cancer patients highlight recent changes in the use and the results of intensive care in patients with malignancies. They seek to put forward a standard of care for the management of these patients and highlight important updates that are required to care for them. The research agenda they suggest includes important studies to be conducted in the next few years to increase our understanding of organ dysfunction in this population and to improve our ability to appropriately use life-saving therapies or select new therapeutic approaches that are likely to improve outcomes. This review aims to provide more guidance for the daily management of patients with cancer, in whom outcomes are constantly improving, as is our global ability to fight against what is becoming the leading cause of mortality in industrialized and non-industrialized countries.

Purpose: The purpose of this study is to characterize the practices of pulmonary, internal medicine, and critical care physicians toward the management of patients with severe community-acquired pneumonia (CAP). Materials and methods: A cross-sectional international anonymous survey was conducted among a convenience sample of critical care, pulmonary, emergency, and internal medicine physicians from Portugal, Spain, and South America between October and December 2008. The electronic survey evaluated physicians’ attitudes toward diagnosis, risk assessment, and therapeutic interventions for patients with severe CAP. Results: Four hundred sixty-eight physicians responded being 84.6% from 4 countries (Brazil, Portugal, Spain, and Argentina) whom 66.9% had more than 10 years experience. Risk assessment of severe CAP was very heterogeneous being clinical evaluation the most frequent. Although blood cultures were recognized as presenting a poor diagnostic performance, they were performed by 77.1%. In opposition, the presence of urinary pneumococcal and Legionella antigen was asked by less than one-third of physicians. The great majority (95%) prescribes antibiotics according to a guideline being the combination of β-lactam plus macrolide the most frequent choice. Conclusions: Despite the recent advances of knowledge reflected in the present study in the management of severe CAP, several of themare still incompletely translated into clinical practice. Significant variation in practice is observedamong physicians and represents a potential target for future research and educational interventions.

Purpose of review This review aims to evaluate the latest versions of the Acute Physiology and Chronic Health Evaluation, Simplified Acute Physiology Score and Mortality Probability Model scores, make comparisons and describe their strengths and limitations. Additionally, we provide critical analysis and recommendations for the use of these scoring systems in different scenarios. Recent findings The last generation of ICU scoring systems (Acute Physiology and Chronic Health Evaluation IV, Mortality Probability Model 0-III (MPM0-III) and Simplified Acute Physiology Score 3) was widely validated in different regions of the world and in distinct settings comprising general ICU patients as well as specific subgroups such as critically ill cancer patients, cardiovascular, surgical, acute kidney injury requiring renal replacement therapy and those in need of extra-corporeal membrane oxygen. Conflicting results are reported, and in general the scores presented a good discrimination despite a worse calibration as compared with the ones described in the original studies that generated them. Nonetheless, such calibration is often improved when customizations are performed both at ICU and region or country level. Summary ICU scoring systems provide a valuable framework to characterize patients' severity of illness for the evaluation of ICU performance, for quality improvement initiatives and for benchmarking purposes. However, to ensure the best accuracy, constant updates as well as regional customizations are required.