Objective-We recently found that distinct body temperature trajectories of infected patients correlated with survival. Understanding the relationship between temperature trajectories and the host immune response to infection could allow us to immunophenotype patients at the bedside using temperature. The objective was to identify whether temperature trajectories have consistent associations with specific cytokine responses in two distinct cohorts of infected patients. Design-Prospective observational study Setting-Large academic medical center between 2013 and 2019Subjects-Two cohorts of infected patients: 1) patients in the intensive care unit with septic shock and 2) hospitalized patients with Staphylococcus aureus (S. aureus) bacteremia.Intervention(s)-Clinical data (including body temperature) and plasma cytokine concentrations were measured. Patients were classified into four temperature trajectory subphenotypes using their temperature measurements in the first 72 hours from onset of infection. Log-transformed cytokine levels were standardized to the mean and compared across the subphenotypes in both cohorts.Measurements and Main Results-The cohorts consisted of 120 patients with septic shock (cohort 1) and 88 patients with S. aureus bacteremia (cohort 2). Patients from both cohorts were classified into one of four previously validated temperature subphenotypes: "hyperthermic, slow resolvers" (n=19 cohort 1; n= 13 cohort 2), "hyperthermic, fast resolvers" (n=18 C1; n= 24 C2),

Respiratory failure and mortality from COVID-19 result from virus- and inflammation-induced lung tissue damage. The intestinal microbiome and associated metabolites are implicated in immune responses to respiratory viral infections, however their impact on progression of severe COVID-19 remains unclear. We prospectively enrolled 71 patients with COVID-19 associated critical illness, collected fecal specimens within 3 days of medical intensive care unit admission, defined microbiome compositions by shotgun metagenomic sequencing, and quantified microbiota-derived metabolites (NCT #04552834). Of the 71 patients, 39 survived and 32 died. Mortality was associated with increased representation of Proteobacteria in the fecal microbiota and decreased concentrations of fecal secondary bile acids and desaminotyrosine (DAT). A microbiome metabolic profile (MMP) that accounts for fecal secondary bile acids and desaminotyrosine concentrations was independently associated with progression of respiratory failure leading to mechanical ventilation. Our findings demonstrate that fecal microbiota composition and microbiota-derived metabolite concentrations can predict the trajectory of respiratory function and death in patients with severe SARS-Cov-2 infection and suggest that the gut-lung axis plays an important role in the recovery from COVID-19.

No abstract

Purpose In acute respiratory distress syndrome (ARDS), dead space fraction has been independently associated with mortality. We hypothesized that early measurement of the difference between arterial and end-tidal CO2 (arterial-ET difference), a surrogate for dead space fraction, would predict mortality in mechanically ventilated patients with ARDS. Methods We performed two separate exploratory analyses. We first used publicly available databases from the ALTA, EDEN, and OMEGA ARDS Network trials (N = 124) as a derivation cohort to test our hypothesis. We then performed a separate retrospective analysis of patients with ARDS using University of Chicago patients (N = 302) as a validation cohort. Results The ARDS Network derivation cohort demonstrated arterial-ET difference, vasopressor requirement, age, and APACHE III to be associated with mortality by univariable analysis. By multivariable analysis, only the arterial-ET difference remained significant (P = 0.047). In a separate analysis, the modified Enghoff equation ((PaCO2–PETCO2)/PaCO2) was used in place of the arterial-ET difference and did not alter the results. The University of Chicago cohort found arterial-ET difference, age, ventilator mode, vasopressor requirement, and APACHE II to be associated with mortality in a univariate analysis. By multivariable analysis, the arterial-ET difference continued to be predictive of mortality (P = 0.031). In the validation cohort, substitution of the arterial-ET difference for the modified Enghoff equation showed similar results. Conclusion Arterial to end-tidal CO2 (ETCO2) difference is an independent predictor of mortality in patients with ARDS.

SUMMARY INTRODUCTION: Assessment of acute postoperative pain is mandatory for effective treatments. Pain trajectories may help professionals improve treatments. It has been suggested that uncontrolled pain in the immediate postoperative period generates higher pain intensities on the following days of hospital stay. OBJECTIVE: To determine the relationship between pain during the first postoperative hour and the first 24 postoperative hours. METHODS: Setting: a general university hospital. Study design: a prospective observational, analytical study of patients undergoing surgical procedures under general anesthesia and hospitalized for at least 24 hours. Five assessments of pain were carried out during the first hour in the recovery room followed by three assessments during the first 24 hours. The slopes of pain trajectories were calculated, and the relationship between them was analyzed. RESULTS: 234 patients were recruited, 31.3% had uncontrolled pain on arrival at the recovery room; at the end of the first 24 hours after surgery, 5.5% of the patients had uncontrolled pain. The first pain intensity score in the recovery room correlated negatively with the slope for the first hour (P1): rS = −0.657 (p = 0.000). Similarly, the first pain intensity score had a negative association with the pain trajectory slope during the hospital stay (P2): rS = −0.141 (p = 0.032). When comparing the two slopes, a nonsignificant negative correlation was found: rS = −0.126. CONCLUSIONS: the trajectory of pain during the first hour does not predict the behavior of the trajectory during the first day after surgery.