None.

No abstract

No abstract

for the BaSICS investigators and the BRICNet members IMPORTANCE Slower intravenous fluid infusion rates could reduce the formation of tissue edema and organ dysfunction in critically ill patients; however, there are no data to support different infusion rates during fluid challenges for important outcomes such as mortality.OBJECTIVE To determine the effect of a slower infusion rate vs control infusion rate on 90-day survival in patients in the intensive care unit (ICU). DESIGN, SETTING, AND PARTICIPANTS Unblinded randomized factorial clinical trial in 75 ICUs in Brazil, involving 11 052 patients requiring at least 1 fluid challenge and with 1 risk factor for worse outcomes were randomized from May 29, 2017, to March 2, 2020. Follow-up was concluded on October 29, 2020. Patients were randomized to 2 different infusion rates (reported in this article) and 2 different fluid types (balanced fluids or saline, reported separately).INTERVENTIONS Patients were randomized to receive fluid challenges at 2 different infusion rates; 5538 to the slower rate (333 mL/h) and 5514 to the control group (999 mL/h). Patients were also randomized to receive balanced solution or 0.9% saline using a factorial design. MAIN OUTCOMES AND MEASURESThe primary end point was 90-day survival.RESULTS Of all randomized patients, 10 520 (95.2%) were analyzed (mean age, 61.1 years [SD, 17.0 years]; 44.2% were women) after excluding duplicates and consent withdrawals. Patients assigned to the slower rate received a mean of 1162 mL on the first day vs 1252 mL for the control group. By day 90, 1406 of 5276 patients (26.6%) in the slower rate group had died vs 1414 of 5244 (27.0%) in the control group (adjusted hazard ratio, 1.03; 95% CI, 0.96-1.11; P = .46). There was no significant interaction between fluid type and infusion rate (P = .98).CONCLUSIONS AND RELEVANCE Among patients in the intensive care unit requiring fluid challenges, infusing at a slower rate compared with a faster rate did not reduce 90-day mortality. These findings do not support the use of a slower infusion rate.

Background Geoeconomic variations in epidemiology, the practice of ventilation, and outcome in invasively ventilated intensive care unit (ICU) patients without acute respiratory distress syndrome (ARDS) remain unexplored. In this analysis we aim to address these gaps using individual patient data of four large observational studies. MethodsIn this pooled analysis we harmonised individual patient data from the ERICC, LUNG SAFE, PRoVENT, and PRoVENT-iMiC prospective observational studies, which were conducted from June, 2011, to December, 2018, in 534 ICUs in 54 countries. We used the 2016 World Bank classification to define two geoeconomic regions: middleincome countries (MICs) and high-income countries (HICs). ARDS was defined according to the Berlin criteria. Descriptive statistics were used to compare patients in MICs versus HICs. The primary outcome was the use of low tidal volume ventilation (LTVV) for the first 3 days of mechanical ventilation. Secondary outcomes were key ventilation parameters (tidal volume size, positive end-expiratory pressure, fraction of inspired oxygen, peak pressure, plateau pressure, driving pressure, and respiratory rate), patient characteristics, the risk for and actual development of acute respiratory distress syndrome after the first day of ventilation, duration of ventilation, ICU length of stay, and ICU mortality. Findings Of the 7608 patients included in the original studies, this analysis included 3852 patients without ARDS, of whom 2345 were from MICs and 1507 were from HICs. Patients in MICs were younger, shorter and with a slightly lower body-mass index, more often had diabetes and active cancer, but less often chronic obstructive pulmonary disease and heart failure than patients from HICs. Sequential organ failure assessment scores were similar in MICs and HICs. Use of LTVV in MICs and HICs was comparable (42•4% vs 44•2%; absolute difference -1•69 [-9•58 to 6•11] p=0•67; data available in 3174 [82%] of 3852 patients). The median applied positive end expiratory pressure was lower in MICs than in HICs (5 [IQR 5-8] vs 6 [5-8] cm H 2 O; p=0•0011). ICU mortality was higher in MICs than in HICs (30•5% vs 19•9%; p=0•0004; adjusted effect 16•41% [95% CI 9•52-23•52]; p<0•0001) and was inversely associated with gross domestic product (adjusted odds ratio for a US$10 000 increase per capita 0•80 [95% CI 0•75-0•86]; p<0•0001).Interpretation Despite similar disease severity and ventilation management, ICU mortality in patients without ARDS is higher in MICs than in HICs, with a strong association with country-level economic status.

BackgroundAvailable predictive models for acute coronary syndromes (ACS) have limitations as they have been elaborated some years ago or limitations with applicability. ObjectivesTo develop scores for predicting adverse events in 30 days and 6 months in ST-segment elevation and non-ST-segment elevation ACS patients admitted to private tertiary hospital. MethodsProspective cohort of ACS patients admitted between August, 2009 and June, 2012. Our primary composite outcome for both the 30-day and 6-month models was death from any cause, myocardial infarction or re-infarction, cerebrovascular accident (CVA), cardiac arrest and major bleeding. Predicting variables were selected for clinical, laboratory, electrocardiographic and therapeutic data. The final model was obtained with multiple logistic regression and submitted to internal validation with bootstrap analysis. ResultsWe considered 760 patients for the development sample, of which 132 had ST-segment elevation ACS and 628 non-ST-segment elevation ACS. The mean age was 63.2 ± 11.7 years, and 583 were men (76.7%). The final model to predict 30-day events is comprised by five independent variables: age ≥ 70 years, history of cancer, left ventricular ejection fraction (LVEF) < 40%, troponin I > 12.4 ng /ml and chemical thrombolysis. In the internal validation, the model showed good discrimination with C-statistic of 0.71. The predictors in the 6-month event final model are: history of cancer, LVEF < 40%, chemical thrombolysis, troponin I >14.3 ng/ml, serum creatinine>1.2 mg/dl, history of chronic obstructive pulmonary disease and hemoglobin < 13.5 g/dl. In the internal validation, the model had good performance with C-statistic of 0.69. ConclusionWe have developed easy to apply scores for predicting 30-day and 6-month adverse events in patients with ST-elevation and non-ST-elevation ACS.

Arrhythmogenic right ventricular dysplasia; arrhythmia; heredity.Arritmogenic right ventricular dysplasia (ARVD) is characterized by the gradual replacement of myocytes by adipose and fibrous tissue. Described in 1977, is considered a potentially lethal cause of cardiac disease poorly understood. This disorder usually involves the right ventricle and has been associated with arrthymia, heart failure, and sudden death. In this paper, we report a case of a 25-years-old patient with syncope associated with ventricular extrasystoles. A magnetic resonance imaging was performed and showed findings that support ARVD diagnose.

No abstract