scholarly journals Nutrição enteral precoce e desfechos clínicos em pacientes de terapia intensiva

2021 ◽  
Vol 4 (35) ◽  
pp. 377-383
Author(s):  
Janaína da Conceição Fernandes Gama ◽  
Renata Quele Viana Silva ◽  
Anne Caroline Brito Barroso ◽  
Luiz Gustavo Vieira Cardoso ◽  
Matheus Lopes Cortes ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Nutritional Therapy ◽  
Nutritional Risk ◽  
Icu Stay ◽  
Enteral Diet ◽  
Mechanical Ventilation Time ◽  
Protein Supply

Introduction: Early nutritional support is a therapeutic strategy in critically ill patients, however, it has been shown to be controversial in relation to clinical outcomes. The aim of the study was to investigate the effects of early enteral nutritional therapy (ENT) and the initial caloric-protein supply on the clinical outcomes of patients in Intensive Care Units (ICU) of a hospital in Southwest Bahia. Methods: Prospective cohort study approved by the ethics committee. Information was collected on nutritional screening, anthropometric assessment, estimated nutritional needs and nutritional goals. The time of introduction of NET was classified as early, when started in the first 48 hours of admission and late. The volume and characteristics of the enteral diet were monitored daily, as well as the length of stay in the ICU and mechanical ventilation and mortality. Patients were followed up until discharge from the ICU or death. To test the association between the outcomes of mechanical ventilation time and ICU stay and nutritional variables, linear regression was used, while, for mortality, logistic regression. Results: 88 patients were included, of which 96.6% had nutritional risk at admission, determined by the severity of the condition. Early NET was received by 67 patients, with a mean of 39 ± 11.69 hours to onset and significant variation in relation to late NET (77.76 ± 32.11 hours), with no association with outcomes. The caloric and protein averages received in the first three days of NET were significantly higher in the early NET group (p = 0.000), which were associated with longer ICU stays and mechanical ventilation, even with a high frequency of protein inadequacy. No late ENT patient presented protein adequacy until the third day. Conclusion: Early NET was not associated with the clinical outcomes of critically ill patients, however, the greater energy supply increased the ICU stay and mechanical ventilation times.

scholarly journals Effect of timing of intubation on clinical outcomes of critically ill patients with COVID-19: a systematic review and meta-analysis of non-randomized cohort studies

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Eleni Papoutsi ◽  
Vassilis G. Giannakoulis ◽  
Eleni Xourgia ◽  
Christina Routsi ◽  
Anastasia Kotanidou ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mechanical Ventilation ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Meta Analysis ◽  
Mortality And Morbidity ◽  
Icu Admission ◽  
All Cause Mortality ◽  
Detectable Difference

Abstract Background Although several international guidelines recommend early over late intubation of patients with severe coronavirus disease 2019 (COVID-19), this issue is still controversial. We aimed to investigate the effect (if any) of timing of intubation on clinical outcomes of critically ill patients with COVID-19 by carrying out a systematic review and meta-analysis. Methods PubMed and Scopus were systematically searched, while references and preprint servers were explored, for relevant articles up to December 26, 2020, to identify studies which reported on mortality and/or morbidity of patients with COVID-19 undergoing early versus late intubation. “Early” was defined as intubation within 24 h from intensive care unit (ICU) admission, while “late” as intubation at any time after 24 h of ICU admission. All-cause mortality and duration of mechanical ventilation (MV) were the primary outcomes of the meta-analysis. Pooled risk ratio (RR), pooled mean difference (MD) and 95% confidence intervals (CI) were calculated using a random effects model. The meta-analysis was registered with PROSPERO (CRD42020222147). Results A total of 12 studies, involving 8944 critically ill patients with COVID-19, were included. There was no statistically detectable difference on all-cause mortality between patients undergoing early versus late intubation (3981 deaths; 45.4% versus 39.1%; RR 1.07, 95% CI 0.99–1.15, p = 0.08). This was also the case for duration of MV (1892 patients; MD − 0.58 days, 95% CI − 3.06 to 1.89 days, p = 0.65). In a sensitivity analysis using an alternate definition of early/late intubation, intubation without versus with a prior trial of high-flow nasal cannula or noninvasive mechanical ventilation was still not associated with a statistically detectable difference on all-cause mortality (1128 deaths; 48.9% versus 42.5%; RR 1.11, 95% CI 0.99–1.25, p = 0.08). Conclusions The synthesized evidence suggests that timing of intubation may have no effect on mortality and morbidity of critically ill patients with COVID-19. These results might justify a wait-and-see approach, which may lead to fewer intubations. Relevant guidelines may therefore need to be updated.

scholarly journals The Association of Fever with Total Mechanical Ventilation Time in Critically Ill Patients

2016 ◽  
Vol 31 (12) ◽  
pp. 2033 ◽  
Author(s):  
Dong Won Park ◽  
Moritoki Egi ◽  
Masaji Nishimura ◽  
Youjin Chang ◽  
Gee Young Suh ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Ventilation Time ◽  
Mechanical Ventilation Time

scholarly journals Nutritional Therapy in Critically Ill Patients with COVID-19: A Narrative Review

2021 ◽  
Vol 25 ◽  
pp. e1073
Author(s):  
Larissa Gens Guilherme
Keyword(s):  
Mechanical Ventilation ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Hospital Setting ◽  
Nutritional Therapy ◽  
Narrative Review ◽  
Current Evidence ◽  
High Association ◽  
Nutritional Recommendations ◽  
Improve Clinical Outcome

Introduction: Combating the pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), better known as Coronavirus Disease 2019 (COVID-19), in all countries of the world has been a challenge. Most patients can be treated in home isolation, however elderly patients and/or with associated comorbidities have been demonstrating more severe conditions of the disease, requiring hospitalization, or even nutritional therapy and mechanical ventilation. Objective: To review the current evidence to establish better nutritional recommendations for critically ill patients with COVID-19.Material and methods:This is a narrative review on nutritional therapy in critical patient with COVID-19. The scientific articles were searched in the databases U.S. National Library of Medicine (PubMed), as well as their respective terms in Portuguese and Spanish, and 40 articles were chosen, excluding the guidelines that were used to help better compose this article.Results: The main findings were that age and non-communicable diseases are considered risk factors for mortality, with systemic arterial hypertension and diabetes mellitus being the main ones. These patients need special care, as well as constant assessment of nutritional status, since malnourished and obese patients have shown a high association with mortality and the use of mechanical ventilation. Nutritional therapy in the affected patients can improve clinical outcome and should be considered as first-line treatment and be more valued in the hospital setting. Although there is no recommendation for supplementation of vitamin C and D and the mineral zinc, these may bring benefits to the immune system of these patients and help in a better prognosis of COVID-19, however more studies are still needed to substantiate the dosage.Conclusions: Further studies are needed, but it is important to bring these themes already exposed by some authors to stimulate discussions that might lead to improvements in the standardization of nutritional approaches.

Pleural Effusion Outcomes in Intensive Care: Analysis of a Large Clinical Database

2019 ◽  
Vol 35 (1) ◽  
pp. 48-54
Author(s):  
Marjorie Bateman ◽  
Ala Alkhatib ◽  
Thomas John ◽  
Malhar Parikh ◽  
Fayez Kheir
Keyword(s):  
Mechanical Ventilation ◽  
Intensive Care ◽  
Pleural Effusion ◽  
Hospital Stay ◽  
Disease Severity ◽  
Pleural Fluid ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Pleural Effusions ◽  
Icu Stay

Background: Pleural effusions are common in critically ill patients. However, the management of pleural fluid on relevant clinical outcomes is poorly studied. We evaluated the impact of pleural effusion in the intensive care unit (ICU). Methods: A large observational ICU database Multiparameter Intelligent Monitoring in Intensive Care III was utilized. Analyses used matched patients with the same admission diagnosis, age, gender, and disease severity. Results: Of 50 765, 3897 (7.7%) of critically ill adult patients had pleural effusions. Compared to patients without effusion, patients with effusion had higher in-hospital (38.7% vs 31.3%, P < .0001), 1-month (43.1% vs 36.1%, P < .0001), 6-month (63.6% vs 55.7%, P < .0001), and 1-year mortality (73.8% vs 66.1%, P < .0001), as well as increased length of hospital stay (17.6 vs 12.7 days, P < .0001), ICU stay (7.3 vs 5.1 days, P < .0001), need for mechanical ventilation (63.1% vs 55.7%, P < .0001), and duration of mechanical ventilation (8.7 vs 6.3 days, P < .0001). A total of 1503 patients (38.6%) underwent pleural fluid drainage. Patients in the drainage group had higher in-hospital (43.9% vs 35.4%, P = .0002), 1-month (47.7% vs 39.7%, P = .0005), 6-month (67.1% vs 61.8%, P = .0161), and 1-year mortality (77.1% vs 72.1%, P = .0147), as well as increased lengths of hospital stay (22.1 vs 16.0 days, P < .0001), ICU stay (9.2d vs 6.4 days, P < .0001), and duration of mechanical ventilation (11.7 vs 7.1 days, P < .0001). Conclusions: The presence of a pleural effusion was associated with increased mortality in critically ill patients regardless of disease severity. Drainage of pleural effusion was associated with worse outcomes in a large, heterogeneous cohort of ICU patients.

scholarly journals Nutritional Management of Critically Ill Patients Infected with SARS-CoV-2

2021 ◽  
Vol 14 (01) ◽  
pp. 002-005
Author(s):  
Sérgio dos Anjos Garnes ◽  
Fernanda Lasakosvitsch ◽  
Adriana Bottoni ◽  
Andrea Bottoni
Keyword(s):  
Mechanical Ventilation ◽  
Severe Acute Respiratory Syndrome ◽  
Clinical Outcome ◽  
Critically Ill ◽  
Prone Position ◽  
Critically Ill Patients ◽  
Protein Intake ◽  
Nutritional Therapy ◽  
Nutritional Management

AbstractEarly nutritional therapy is essential to ensure the maintenance of adequate energy/protein intake for critically ill patients infected with severe acute respiratory syndrome caused by COVID-19 (SARS-CoV-2) infection. However, this poses a major challenge when it comes to individuals on mechanical ventilation in prone position. Therefore, the present work presents a nutritional therapy flowchart developed for patients with SARS-CoV-2 infection to guide nutritional management and ensure that energy/protein intake goals are met, thus favoring a positive clinical outcome.

scholarly journals Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Longxiang Su ◽  
Zhongheng Zhang ◽  
Fanglan Zheng ◽  
Pan Pan ◽  
Na Hong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Mortality Rate ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
The Other ◽  
Clinical Phenotypes ◽  
Mimic Iii

Abstract Background Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine learning to identify clinical phenotypes for critically ill patients with MV in intensive care units (ICUs). Methods A retrospective cohort study was conducted with 5013 patients who had undergone MV and treatment in the Department of Critical Care Medicine, Peking Union Medical College Hospital. Statistical and machine learning methods were used. All the data used in this study, including demographics, vital signs, circulation parameters and mechanical ventilator parameters, etc., were automatically extracted from the electronic health record (EHR) system. An external database, Medical Information Mart for Intensive Care III (MIMIC III), was used for validation. Results Phenotypes were derived from a total of 4009 patients who underwent MV using a latent profile analysis of 22 variables. The associations between the phenotypes and disease severity and clinical outcomes were assessed. Another 1004 patients in the database were enrolled for validation. Of the five derived phenotypes, phenotype I was the most common subgroup (n = 2174; 54.2%) and was mostly composed of the postoperative population. Phenotype II (n = 480; 12.0%) led to the most severe conditions. Phenotype III (n = 241; 6.01%) was associated with high positive end-expiratory pressure (PEEP) and low mean airway pressure. Phenotype IV (n = 368; 9.18%) was associated with high driving pressure, and younger patients comprised a large proportion of the phenotype V group (n = 746; 18.6%). In addition, we found that the mortality rate of Phenotype IV was significantly higher than that of the other phenotypes. In this subgroup, the number of patients in the sequential organ failure assessment (SOFA) score segment (9,22] was 198, the number of deaths was 88, and the mortality rate was higher than 44%. However, the cumulative 28-day mortality of Phenotypes IV and II, which were 101 of 368 (27.4%) and 87 of 480 (18.1%) unique patients, respectively, was significantly higher than those of the other phenotypes. There were consistent phenotype distributions and differences in biomarker patterns by phenotype in the validation cohort, and external verification with MIMIC III further generated supportive results. Conclusions Five clinical phenotypes were correlated with different disease severities and clinical outcomes, which suggested that these phenotypes may help in understanding heterogeneity in MV treatment effects.

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