Trends in clinical profiles, organ support use and outcomes of patients with cancer requiring unplanned ICU admission: a multicenter cohort study.

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.

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol.

OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.

Characteristics and outcomes of patients with COVID-19 admitted to the ICU in a university hospital in São Paulo, Brazil - study protocol

OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.

Factors associated with renal Doppler resistive index in critically ill patients: a prospective cohort study.

BACKGROUND: The renal Doppler resistive index (renal RI) is a noninvasive tool that has been used to assess renal perfusion in the intensive care unit (ICU) setting. However, many parameters have been described as influential on the values of renal RI. Therefore, we proposed this study to evaluate the variables that could impact renal RI in critically ill patients. METHODS: A prospective observational study was performed in a 14-bed medical-surgical adult ICU. All consecutive patients admitted to the ICU during the study period were evaluated for eligibility. Renal RI was performed daily until the third day after ICU admission, death, or renal replacement therapy (RRT) requirement. Clinical and blood test data were collected throughout this period. Acute kidney injury (AKI) reversibility was categorized as transient (normalization of renal function within 3 days of AKI onset) or persistent (non-resolution of AKI within 3 days of onset or need for RRT). A linear mixed model was applied to evaluate the factors that could influence renal RI. RESULTS: Eighty-three consecutive patients were included. Of these, 65% were male and 50.6% were medical admissions. Mean SAPS 3 was 47 ± 16. Renal RI was significantly different between no-AKI (0.64 ± 0.06), transient AKI (0.64 ± 0.07), and persistent AKI groups (0.70 ± 0.08, p < 0.01). Variables associated with renal RI variations were mean arterial pressure, lactate, age, and persistent AKI (p < 0.05). No association between serum chloride and renal RI was observed (p = 0.868). CONCLUSIONS: Mean arterial pressure, lactate, age, and type of AKI might influence renal RI in critically ill patients.

Ultrasound-guided percutaneous dilational tracheostomy versus bronchoscopy-guided percutaneous dilational tracheostomy in critically ill patients (TRACHUS): a randomized noninferiority controlled trial.

PURPOSE: Percutaneous dilational tracheostomy (PDT) is routinely performed in the intensive care unit with bronchoscopy guidance. Recently, ultrasound has emerged as a potentially useful tool to assist PDT and reduce procedure-related complications. METHODS: An open-label, parallel, non-inferiority randomized controlled trial was conducted comparing an ultrasound-guided PDT with a bronchoscopy-guided PDT in mechanically ventilated critically ill patients. The primary outcome was procedure failure, defined as a composite end-point of conversion to a surgical tracheostomy, unplanned associated use of bronchoscopy or ultrasound during PDT, or the occurrence of a major complication. RESULTS: A total of 4965 patients were assessed for eligibility. Of these, 171 patients were eligible and 118 underwent the procedure, with 60 patients randomly assigned to the ultrasound group and 58 patients to the bronchoscopy group. Procedure failure occurred in one (1.7%) patient in the ultrasound group and one (1.7%) patient in the bronchoscopy group, with no absolute risk difference between the groups (90% confidence interval, -5.57 to 5.85), in the "as treated" analysis, not including the prespecified margin of 6% for noninferiority. No other patient had any major complication in either group. Procedure-related minor complications occurred in 20 (33.3%) patients in the ultrasound group and in 12 (20.7%) patients in the bronchoscopy group (P = 0.122). The median procedure length was 11 [7-19] vs. 13 [8-20] min (P = 0.468), respectively, and the clinical outcomes were also not different between the groups. CONCLUSIONS: Ultrasound-guided PDT is noninferior to bronchoscopy-guided PDT in mechanically ventilated critically ill patients.

Prevalence of Ventilatory Conditions for Dynamic Fluid Responsiveness Prediction in 2 Tertiary Intensive Care Units.

BACKGROUND: Dynamic parameters for fluid responsiveness obtained from heart-lung interaction during invasive mechanical ventilation require specific conditions not always present in intensive care unit (ICU) patients. The aim of this study was to examine the prevalence of these conditions in critically ill patients. METHODS: We conducted a prospective observational study in 2 medical-surgical ICUs. We evaluated whether it would be possible to measure dynamic indices of fluid responsiveness when fluid expansion was administered. We recorded whether the patients were in controlled invasive mechanical ventilation with tidal volume >8 mL/kg and without arrhythmias. The proportion of patients who fulfilled these conditions was recorded. A post hoc subgroup analyses by terciles of Simplified Acute Physiology Score 3 (SAPS3) were performed. RESULTS: A total of 826 fluid challenges were undertaken in 424 patients during the study. The use of controlled mechanical ventilation with tidal volume > 8 mL/kg and without arrhythmias occurred in only 2.9% of the patients at the time of fluid challenge episodes. There was an increase in the prevalence of these conditions as the severity of the patients also increased: lower tercile of SAPS3 (0%), intermediate tercile (2%), and higher tercile (6.9%; P < .01 Pearson chi-square test). CONCLUSIONS: Respiratory-dependent dynamic parameters for predicting fluid responsiveness in ICU may have restricted applicability in daily practice, even in more severe patients, due to low prevalence of required conditions.