Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care Unit

Early mobilization of critically ill patients in the Intensive Care Unit (ICU) can prevent adverse outcomes such as delirium and post-discharge physical impairment. To date, no studies have characterized activity of sepsis patients in the ICU using granular actigraphy data. This study characterizes the activity of sepsis patients in the ICU to aid in future mobility interventions. We have compared the actigraphy features of 24 patients in four groups: Chronic Critical Illness (CCI) sepsis patients in the ICU, Rapid Recovery (RR) sepsis patients in the ICU, non-sepsis ICU patients (control-ICU), and healthy subjects. We used several statistical and circadian rhythm features extracted from the patients' actigraphy data collected over a five-day period. Our results show that the four groups are significantly different in terms of activity features. In addition, we observed that the CCI and control-ICU patients show less regularity in their circadian rhythm compared to the RR patients. These results show the potential of using actigraphy data for guiding mobilization practices, classifying sepsis recovery subtype, as well as for tracking patients' recovery.Comment: 4 pages, IEEE Biomedical and Health Informatics (BHI) 201

Overlapping but disparate inflammatory and immunosuppressive responses to SARS-CoV-2 and bacterial sepsis: An immunological time course analysis

Both severe SARS-CoV-2 infections and bacterial sepsis exhibit an immunological dyscrasia and propensity for secondary infections. The nature of the immunological dyscrasias for these differing etiologies and their time course remain unclear. In this study, thirty hospitalized patients with SARS-CoV-2 infection were compared with ten critically ill patients with bacterial sepsis over 21 days, as well as ten healthy control subjects. Blood was sampled between days 1 and 21 after admission for targeted plasma biomarker analysis, cellular phenotyping, and leukocyte functional analysi

Immunotherapies for COVID-19: lessons learned from sepsis.

Therapeutic approaches to mitigate the severe acute lung injury associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have rapidly entered clinical trials primarily on anecdotal observations and few clinical studies. Along with the clinical symptoms related to viral invasion, the reported molecular response known as the cytokine storm has attracted the greatest attention, in both the scientific and the lay press, as a cause of organ injury. [...

Chronic Critical Illness and the Persistent Inflammation, Immunosuppression, and Catabolism Syndrome

Dysregulated host immune responses to infection often occur, leading to sepsis, multiple organ failure, and death. Some patients rapidly recover from sepsis, but many develop chronic critical illness (CCI), a debilitating condition that impacts functional outcomes and long-term survival. The “Persistent Inflammation, Immunosuppression, and Catabolism Syndrome” (PICS) has been postulated as the underlying pathophysiology of CCI. We propose that PICS is initiated by an early genomic and cytokine storm in response to microbial invasion during the early phase of sepsis. However, once source control, antimicrobial coverage, and supportive therapies have been initiated, we propose that the persistent inflammation in patients developing CCI is a result of ongoing endogenous alarmin release from damaged organs and loss of muscle mass. This ongoing alarmin and danger-associated molecular pattern signaling causes chronic inflammation and a shift in bone marrow stem cell production toward myeloid cells, contributing to chronic anemia and lymphopenia. We propose that therapeutic interventions must target the chronic organ injury and lean tissue wasting that contribute to the release of endogenous alarmins and the expansion and deposition of myeloid progenitors that are responsible for the propagation and persistence of CCI

Additional file 1 of Defining critical illness using immunological endotypes in patients with and without sepsis: a cohort study

Additional file 1. Supplemental Materials: Methods

Validation of a Geriatric Trauma Prognosis Calculator: A P.A.L.Li.A.T.E. Consortium Study

Background/objectives: The P.A.L.Li.A.T.E. (prognostic assessment of life and limitations after trauma in the elderly) consortium has previously created a prognosis calculator for mortality after geriatric injury based on age, injury severity, and transfusion requirement called the geriatric trauma outcome score (GTOS). Here, we sought to create and validate a prognosis calculator called the geriatric trauma outcome score ii (GTOS II) estimating probability of unfavorable discharge. Design: Retrospective cohort. Setting: Four geographically diverse Level 1 trauma centers. Participants: Trauma admissions aged 65 to 102 years surviving to discharge from 2000 to 2013. Intervention: None. Measurements: Age, injury severity score (ISS), transfusion at 24 hours post-admission, discharge dichotomized as favorable (home/rehabilitation) or unfavorable (skilled nursing/long term acute care/hospice). Training and testing samples were created using the holdout method. A multiple logistic mixed model (GTOS II) was created to estimate the odds of unfavorable disposition then re-specified using the GTOS II as the sole predictor in a logistic mixed model using the testing sample. Results: The final dataset was 16,114 subjects (unfavorable discharge status = 15.4%). Training (n = 8,057) and testing (n = 8,057) samples had similar demographics. The formula based on the training sample was (GTOS II = Age + [0.71 × ISS] + 8.79 [if transfused by 24 hours]). Misclassification rate and AUC were 15.63% and 0.67 for the training sample, respectively, and 15.85% and 0.67 for the testing sample. Conclusion: GTOS II estimates the probability of unfavorable discharge in injured elders with moderate accuracy. With the GTOS mortality calculator, it can help in goal setting conversations after geriatric injury