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RESUMO Objetivo: Avaliar a associação entre a incidência de delirium na unidade de terapia intensiva e qualidade de vida 1 mês após a alta hospitalar Métodos: Trata-se de estudo de coorte prospectivo desenvolvido em unidades de terapia intensiva de dois hospitais de média complexidade durante o período de dezembro de 2015 a dezembro de 2016. Delirium foi identificado por meio da escala Confusion Assessment Method for the Intensive Care Unit. No momento da alta hospitalar, foram avaliadas capacidade funcional e cognição por meio do índice de Barthel e da escala de Mini Exame do Estado Mental, respectivamente. Após 30 dias da alta hospitalar do paciente, por meio de contato telefônico, aplicou-se o questionário World Health Organization Quality of Life-Bref. Resultados: Foram incluídos 216 pacientes. Delirium foi identificado em 127 (58,8%) deles. Os pacientes com delirium apresentaram maior dependência funcional (mediana do índice de Barthel 50,0 [21,2 - 70,0] versus 80,0 [60,0 - 95,0]; p < 0,001) e menor cognição (escore do Mini Exame do Estado Mental 12,9 ± 7,5 versus 20,7 ± 9,8; p < 0,001) na alta hospitalar. Com relação à qualidade de vida, avaliada 1 mês após alta hospitalar, não houve diferença, em nenhum dos domínios, entre os pacientes com e sem delirium. Conclusão: Nossos achados sugerem que os pacientes com delirium na unidade de terapia intensiva não apresentam piora da qualidade de vida 1 mês após a alta hospitalar, apesar de apresentarem maior prejuízo cognitivo e incapacidade funcional no momento da alta hospitalar. Abstract Objective: To evaluate the association between the incidence of delirium in the intensive care unit and quality of life 1 month after hospital discharge. Methods: This was a prospective cohort study conducted in the intensive care units of two medium-complexity hospitals from December 2015 to December 2016. Delirium was identified using the Confusion Assessment Method for the Intensive Care Unit scale. At the time of hospital discharge, functional capacity and cognition were assessed with the Barthel index and the Mini Mental State Examination, respectively. Thirty days after patient discharge, the World Health Organization Quality of Life-BREF questionnaire was administered by telephone. Results: A total of 216 patients were included. Delirium was identified in 127 (58.8%) of them. Patients with delirium exhibited greater functional dependence (median Barthel index 50.0 [21.2 - 70.0] versus 80.0 [60.0 - 95.0]; p < 0.001) and lower cognition (Mini Mental State Examination score 12.9 ± 7.5 versus 20.7 ± 9.8; p < 0.001) at hospital discharge. There was no difference in any of the quality-of-life domains evaluated 1 month after hospital discharge between patients with and without delirium. Conclusion: Our findings suggest that patients with delirium in the intensive care unit do not have worse quality of life 1 month after hospital discharge, despite presenting greater cognitive impairment and functional disability at the time of hospital discharge.

To evaluate the association between the incidence of delirium in the intensive care unit and quality of life 1 month after hospital discharge.This was a prospective cohort study conducted in the intensive care units of two medium-complexity hospitals from December 2015 to December 2016. Delirium was identified using the Confusion Assessment Method for the Intensive Care Unit scale. At the time of hospital discharge, functional capacity and cognition were assessed with the Barthel index and the Mini Mental State Examination, respectively. Thirty days after patient discharge, the World Health Organization Quality of Life-BREF questionnaire was administered by telephone.A total of 216 patients were included. Delirium was identified in 127 (58.8%) of them. Patients with delirium exhibited greater functional dependence (median Barthel index 50.0 [21.2 - 70.0] versus 80.0 [60.0 - 95.0]; p0.001) and lower cognition (Mini Mental State Examination score 12.9 ± 7.5 versus 20.7 ± 9.8; p0.001) at hospital discharge. There was no difference in any of the quality-of-life domains evaluated 1 month after hospital discharge between patients with and without delirium.Our findings suggest that patients with delirium in the intensive care unit do not have worse quality of life 1 month after hospital discharge, despite presenting greater cognitive impairment and functional disability at the time of hospital discharge.Avaliar a associação entre a incidência de delirium na unidade de terapia intensiva e qualidade de vida 1 mês após a alta hospitalar.Trata-se de estudo de coorte prospectivo desenvolvido em unidades de terapia intensiva de dois hospitais de média complexidade durante o período de dezembro de 2015 a dezembro de 2016. Delirium foi identificado por meio da escala Confusion Assessment Method for the Intensive Care Unit. No momento da alta hospitalar, foram avaliadas capacidade funcional e cognição por meio do índice de Barthel e da escala de Mini Exame do Estado Mental, respectivamente. Após 30 dias da alta hospitalar do paciente, por meio de contato telefônico, aplicou-se o questionário World Health Organization Quality of Life-Bref.Foram incluídos 216 pacientes. Delirium foi identificado em 127 (58,8%) deles. Os pacientes com delirium apresentaram maior dependência funcional (mediana do índice de Barthel 50,0 [21,2 - 70,0] versus 80,0 [60,0 - 95,0]; p0,001) e menor cognição (escore do Mini Exame do Estado Mental 12,9 ± 7,5 versus 20,7 ± 9,8; p0,001) na alta hospitalar. Com relação à qualidade de vida, avaliada 1 mês após alta hospitalar, não houve diferença, em nenhum dos domínios, entre os pacientes com e sem delirium.Nossos achados sugerem que os pacientes com delirium na unidade de terapia intensiva não apresentam piora da qualidade de vida 1 mês após a alta hospitalar, apesar de apresentarem maior prejuízo cognitivo e incapacidade funcional no momento da alta hospitalar.

To describe the pre-hospital, emergency department, and intensive care unit (ICU) care and prognosis of patients with inhalation injury after exposure to indoor fire and smoke.This is a prospective observational cohort study that includes patients admitted to seven ICUs after a fire disaster. The following data were collected: demographic characteristics; use of fiberoptic bronchoscopy; degree of inhalation injury; percentage of burned body surface area; mechanical ventilation parameters; and subsequent events during ICU stay. Patients were followed to determine the ICU and hospital mortality rates.Within 24h of the incident, 68 patients were admitted to seven ICUs. The patients were young and had no comorbidities. Most patients (n=35; 51.5%) only had an inhalation injury. The mean ventilator-free days for patients with an inhalation injury degree of 0 or I was 12.5±8.1 days. For patients with an inhalation injury degree of II or III, the mean ventilator-free days was 9.4±5.8 days (p=0.12). In terms of the length of ICU stay for patients with degrees 0 or I, and patients with degrees II or III, the median was 7.0 days (5.0-8.0 days) and 12.0 days (8.0-23.0 days) (p0.001), respectively. In addition, patients with a larger percentage of burned surface areas also had a longer ICU stay; however, no association with ventilator-free days was found. The patients with10% of burned body surface area showed a mean of 9.2±5.4 ventilator-free days. The mean ventilator-free days for patients who had10% burned body surface area was 11.9±9.5 (p=0.26). The length of ICU stay for the10% and10% burned body surface area patients was 7.0 days (5.0-10.0 days) and 23.0 days (11.5-25.5 days) (p0.001), respectively.We conclude that burn patients with inhalation injuries have different courses of disease, which are mainly determined by the percentage of burned body surface area.

Despite the increase in the identification of patients at the end of life after the introduction of rapid response team (RRT), there is doubt as to whether there has been an improvement in the quality of care offered to these patients. Proper end-of-life care is the next expected step after identifying patients who are dying.To evaluate the end-of-life care after limitations of medical treatment (LOMTs) as defined by an RRT.This is a single-center retrospective cohort study at a tertiary teaching hospital in Porto Alegre, Brazil, from July 2014 to July 2016.We included 242 patients with an LOMT as defined by the RRT.Outcomes of interest included symptoms and palliative measures after RRT review.During the study period, there were 5396 calls to 2937 patients, representing 126 calls per 1000 hospital discharges. Of these calls, 4.9% (n = 242) resulted in an LOMT. The primary care team agreed with the LOMT decision proposed by the RRT in 91.7% of cases. Regarding end-of-life symptoms, 7.4% and 5.8% of patients presented with intense or moderate pain, respectively, and 62.4% of patients presented dyspnea in the last 48 hours of hospitalization. Less than 15% of patients received attention for their spiritual needs and/or received psychological support.Our data reinforce the important role of RRTs in the identification of end-of-life patients with clinical deterioration. Despite the increase in the identification of these patients, the quality of end-of-life care needs to be improved.

Background Red blood cell distribution width (RDW) is a predictor of mortality in critically ill patients. Our objective was to investigate the association between the RDW at ICU discharge and the risk of ICU readmission or unexpected death in the ward. Methods A secondary analysis of prospectively collected data study was conducted including patients discharged alive from the ICU to the ward. The target variable was the RDW collected at ICU discharge. Elevated RDW was defined as an RDW > 16%. Outcomes of interest included readmission to the ICU, unexpected death in the ward and in-hospital death. Variables with a p -value univariate analysis or with biological plausibility for the occurrence of the outcome were included in the Cox proportional hazards model for adjustment. Results We included 813 patients. A total of 138 readmissions to the ICU and 44 unexpected deaths in the ward occurred. Elevated RDW at ICU discharge was independently associated with readmission to the ICU or unexpected death in the ward after multivariable adjustment (HR: 1.901; 95% CI 1.357–2.662). Other variables associated with this outcome included age, tracheostomy and mean corpuscular volume (MCV) at ICU discharge. Similar results were obtained after the exclusion of unexpected deaths in the ward (HR 1.940; CI 1.312–2.871) and for in-hospital deaths (HR 1.716; 95% CI 1.141–2.580). Conclusions Elevated RDW at ICU discharge is independently associated with ICU readmission and in-hospital death.

Submitted by DSpace Unilasalle (dspace@unilasalle.edu.br) on 2021-09-13T15:23:44Z No. of bitstreams: 1 jaspellegrini.etal.pdf: 681346 bytes, checksum: 1db6b5f721b51a74a31b4e3315673762 (MD5) Made available in DSpace on 2021-09-13T15:23:44Z (GMT). No. of bitstreams: 1 jaspellegrini.etal.pdf: 681346 bytes, checksum: 1db6b5f721b51a74a31b4e3315673762 (MD5) Previous issue date: 2018 ackground Little is known about the best strategy for weaning patients with chronic obstructive pulmonary disease (COPD) from mechanical ventilation. Spontaneous breathing trials (SBT) using a T-piece or pressure-support ventilation (PSV) have a central role in this process. Our aim was to compare T-piece and PSV SBTs according to the duration of mechanical ventilation (MV) in patients with COPD. Methods Patients with COPD who had at least 48 hours of invasive MV support were randomized to 30 minutes of T-piece or PSV at 10 cm H2O after being considered able to undergo a SBT. All patients were preemptively connected to non-invasive ventilation after extubation. Tracheostomized patients were excluded. The primary outcome was total invasive MV duration. Time to liberation from MV was assessed as secondary outcome. Results Between 2012 and 2016, 190 patients were randomized to T-piece (99) or PSV (91) groups. Extubation at first SBT was achieved in 78% of patients. The mean total MV duration was 10.82 ± 9.1 days for the T-piece group and 7.31 ± 4.9 days for the PSV group (p < 0.001); however, the pre-SBT duration also differed (7.35 ± 3.9 and 5.84 ± 3.3, respectively; p = 0.002). The time to liberation was 8.36 ± 11.04 days for the T-piece group and 4.06 ± 4.94 for the PSV group (univariate mean ratio = 2.06 [1.29–3.27], p = 0.003) for the subgroup of patients with difficult or prolonged weaning. The study group was independently associated with the time to liberation in this subgroup. Conclusions The SBT technique did not influence MV duration for patients with COPD. For the difficult/prolonged weaning subgroup, the T-piece may be associated with a longer time to liberation, although this should be clarified by further studies.

Objective To assess the performance of central venous oxygen saturation, lactate, base deficit, and C-reactive protein levels and SOFA and SWIFT scores on the day of discharge from the intensive care unit as predictors of patient readmission to the intensive care unit. Methods This prospective and observational study collected data from 1,360 patients who were admitted consecutively to a clinical-surgical intensive care unit from August 2011 to August 2012. The clinical characteristics and laboratory data of readmitted and non-readmitted patients after discharge from the intensive care unit were compared. Using a multivariate analysis, the risk factors independently associated with readmission were identified. Results The C-reactive protein, central venous oxygen saturation, base deficit, and lactate levels and the SWIFT and SOFA scores did not correlate with the readmission of critically ill patients. Increased age and contact isolation because of multidrug-resistant organisms were identified as risk factors that were independently associated with readmission in this study group. Conclusion Inflammatory and perfusion parameters were not associated with patient readmission. Increased age and contact isolation because of multidrug-resistant organisms were identified as predictors of readmission to the intensive care unit.

Background Scant information exists about the epidemiological characteristics and outcome of patients in the intensive care unit (ICU) at risk of acute respiratory distress syndrome (ARDS) and how ventilation is managed in these individuals. We aimed to establish the epidemiological characteristics of patients at risk of ARDS, describe ventilation management in this population, and assess outcomes compared with people at no risk of ARDS. Methods PRoVENT (PRactice of VENTilation in critically ill patients without ARDS at onset of ventilation) is an international, multicentre, prospective study undertaken at 119 ICUs in 16 countries worldwide. All patients aged 18 years or older who were receiving mechanical ventilation in participating ICUs during a 1-week period between January, 2014, and January, 2015, were enrolled into the study. The Lung Injury Prediction Score (LIPS) was used to stratify risk of ARDS, with a score of 4 or higher defining those at risk of ARDS. The primary outcome was the proportion of patients at risk of ARDS. Secondary outcomes included ventilatory management (including tidal volume [VT] expressed as mL/kg predicted bodyweight [PBW], and positive end-expiratory pressure [PEEP] expressed as cm H2O), development of pulmonary complications, and clinical outcomes. The PRoVENT study is registered at ClinicalTrials.gov, NCT01868321. The study has been completed. Findings Of 3023 patients screened for the study, 935 individuals fulfilled the inclusion criteria. Of these critically ill patients, 282 were at risk of ARDS (30%, 95% CI 27–33), representing 0·14 cases per ICU bed over a 1-week period. VTwas similar for patients at risk and not at risk of ARDS (median 7·6 mL/kg PBW [IQR 6·7–9·1] vs 7·9 mL/kg PBW [6·8–9·1]; p=0·346). PEEP was higher in patients at risk of ARDS compared with those not at risk (median 6·0 cm H2O [IQR 5·0–8·0] vs 5·0 cm H2O [5·0–7·0]; p

Purpose The purpose of the study is to look at the performance of the Prognosis for Prolonged Ventilation (ProVent) score with a short-term outcome as well as when used earlier during the course of prolonged mechanical ventilation (MV). Materials and methods This retrospective study was performed in a tertiary public hospital from August 2011 to August 2012. All patients admitted to the intensive care unit (ICU) during this period were included in the study. Chronically critically ill ( CCI ) patients were defined as those with 21 days of MV. In a subsequent analysis, we considered CCI patients to be those with 14 days of MV. The data were collected in 2 ways: review of a prospectively elaborated database and review of electronic records. Results During the study period, 1360 patients were admitted to the ICU. Of these, 152 patients (11.2%) were considered CCI. Patients with high ProVent score presented higher ICU mortality. Mortality ranged from 25.0% for patients with a score of 0 to 84.0% for patients with a score of greater than or equal to 4. The analysis of the ProVent score performed earlier during the evolution (14 days of MV) was similar. Conclusions The ProVent score can be used for short-term prognosis (mortality in the ICU) and earlier in the evaluation of CCI patients.