Automated measurement of distance-walked as a "sixth vital sign" for detecting infusion reactions during preclinical testing

Infusion reactions are a major risk for advanced therapeutics (e.g., engineered proteins nanoparticles, etc.), which can trigger the complement cascade, anaphylaxis, and other life-threatening immune responses. However, during the early phases of development, it is uncommon to assess for infusion reactions, given the labor involved in measuring multiple physiological parameters in rodents. Therefore, we sought to develop an automated quantification of rodent locomotion to serve as a sensitive screening tool for infusion reactions, with minimal added labor-time for each experiment. Here we present the detailed methods for building a motion tracking cage for mice, requiring ∼$100 of materials, ∼2 h to build and set up completely, and employing freely available software (DeepLabCut). The distance-walked after injection was first shown to have the predicted effects for stimulants (caffeine), sedatives (ketamine), and toxins (lipopolysaccharide). Additionally, the distance-walked more sensitively detected the effects of these compounds than did pulse oximetry-based measurements of the classical vital signs of heart rate, respiratory rate, and blood oxygen saturation. Finally, we examined a nanomedicine formulation that has been in preclinical development, liposomes targeted to the cell adhesion molecule ICAM. While this formulation has been studied across dozens of publications, it has not previously been noted to produce an infusion reaction. However, the automated motion tracking cage showed that ICAM-liposomes markedly reduce the distance-walked, which we confirmed by measuring the other vital signs. Importantly, the motion tracking cage added < 5 min of labor time per 5-mouse condition, while pulse oximetry with a neck cuff (by far the most stable oximetry signal in mice) required ∼ 100 min of labor time. Thus, automated measurement of distance-walked can indeed serve as a "sixth vital sign" for detecting infusion reactions during preclinical testing. Additionally, the device to measure distance-walked is easy and cheap to build and requires negligible labor time for each experiment, enabling distance-walked to be recorded in nearly every infusion experiment.

Risk factors associated with mechanical ventilation, autonomic nervous dysfunction and physical outcome in Vietnamese adults with tetanus

BACKGROUND

Tetanus remains common in many low- and middle-income countries, but as critical care services improve, mortality from tetanus is improving. Nevertheless, patients develop severe syndromes associated with autonomic nervous system disturbance (ANSD) and the requirement for mechanical ventilation (MV). Understanding factors associated with worse outcome in such settings is important to direct interventions. In this study, we investigate risk factors for disease severity and long-term physical outcome in adults with tetanus admitted to a Vietnamese intensive care unit.

METHODS

Clinical and demographic variables were collected prospectively from 180 adults with tetanus. Physical function component scores (PCS), calculated from Short Form Health Survey (SF-36), were assessed in 79 patients at hospital discharge, 3 and 6 months post discharge.

RESULTS

Age, temperature, heart rate, lower peripheral oxygen saturation (SpO2) and shorter time from first symptom to admission were associated with MV (OR 1.03 [ 95% confidence interval (CI) 1.00, 1.05], p = 0.04; OR 2.10 [95% CI 1.03, 4.60], p = 0.04; OR 1.04 [ 95% CI 1.01, 1.07], p = 0.02); OR 0.80 [95% CI 0.66, 0.94], p = 0.02 and OR 0.65 [95% CI 0.52, 0.79, p < 0.001, respectively). Heart rate, SpO2 and time from first symptom to admission were associated with ANSD (OR 1.03 [95% CI 1.01, 1.06], p < 0.01; OR 0.95 [95% CI 0.9, 1.00], p = 0.04 and OR 0.64 [95% CI 0.48, 0.80], p < 0.01, respectively). Median [interquartile range] PCS at hospital discharge, 3 and 6 months were 32.37 [24.95-41.57, 53.0 [41.6-56.3] and 54.8 [51.6-57.3], respectively. Age, female sex, admission systolic blood pressure, admission SpO2, MV, ANSD, midazolam requirement, hospital-acquired infection, pressure ulcer and duration of ICU and hospital stay were associated with reduced 0.25 quantile PCS at 6 months after hospital discharge.

CONCLUSIONS

MV and ANSD may be suitable endpoints for future research. Risk factors for reduced physical function at 3 months and 6 months post discharge suggest that modifiable features during hospital management are important determinants of long-term outcome.

The occurrence of and risk factors for developing acute critical illness during quarantine as a response to the COVID-19 pandemic

BACKGROUND/PURPOSE

Early detection and timely quarantine measures are necessary to control disease spread and prevent nosocomial outbreaks of Coronavirus disease 2019 (COVID-19). In this study, we aimed to investigate the impact of a quarantine strategy on patient safety and quality of care.

METHODS

This retrospective cohort study enrolled patients admitted to the quarantine ward in a tertiary hospital in southern Taiwan. The incidence and causes of acute critical illness, including clinical deterioration and unexpected complications during the quarantine period, were reviewed. Further investigation was performed to identify risk factors for acute critical illness during quarantine.

RESULTS

Of 320 patients admitted to the quarantine ward, more than two-thirds were elderly, and 37.8% were bedridden. During the quarantine period, 68 (21.2%) developed acute critical illness, which more commonly occurred among patients older than 80 years and with a bedridden status, nasogastric tube feeding, or dyspnea symptoms. Bedridden status was an independent predictor of acute critical illness. Through optimization of sampling for COVID-19 and laboratory schedules, both the duration of quarantine and the proportion of acute critical illness among bedridden patients during quarantine exhibited a decreasing trend. There was no COVID-19 nosocomial transmission during the study period.

CONCLUSION

The quarantine ward is a key measure to prevent nosocomial transmission of COVID-19 but may carry a potential negative impact on patient care and safety. For patients with multiple comorbidities and a bedridden status, healthcare workers should remain alert to rapid deterioration and unexpected adverse events during quarantine.

Acute critically ill elderly patients: What about long term caregiver burden?

PURPOSE

Acute critical illness induce a high caregivers burden in the young population, however data in the older population are lacking. The objectives of this study were to evaluate caregiver burden in a critically ill old population and to assess factors associated with mild to severe burden level.

MATERIALS AND METHODS

All patients from two participating centers of the ICE-CUB 2 trial were included in the study. Inclusion criteria were an age ≥75, at least one critical condition and preserved functional status. The primary endpoint was a Zarit Burden Interview (ZBI) ≥ 21 at 6 months.

RESULTS

One hundred ninety-one patients (median age 86 [81-89] years) were included. Median caregiver ZBI at 6 months was 13 [5-27]. In the multivariate analysis, factors significantly associated with moderate to severe burden were the 6-month ADL decrease (OR: 1.3, p = .049) and the 6-month mental component of the quality of life score (OR: 0.94, p = .0009). In contrast, age, ICU admission and length of hospital stay were not associated with moderate to severe load.

CONCLUSION

In our study, functional status and mental health at 6 months were associated with mild to severe burden unlike age and admission in ICU.

Acute critical illness and cancer risk: Implications from a nationwide population based study in Asia

OBJECTIVE

The objective of this study was to identify the risk of incident cancer among patients with acute critical illness.

METHODS

The study applied the big database from the National Health Research Institutes in Taiwan. The risk of incident cancer over a 12-year period in patients with 4 types of newly diagnosed acute critical illness (septicemia/septic shock, acute myocardial infarction, hemorrhagic stroke and ischemic stroke) was investigated using Cox proportional hazards regression model with further controlling for the competing risk of death.

RESULTS

This study included 42,675 patients in the acute critical illness cohort and 42,675 patients in the age- and sex-matched comparison cohort. Correlation between the incidence of cancer and critical illness was found after adjusting for age, sex, comorbidities and further controlling for death [adjusted subhazard ratio (aSHR) = 1.73, 95% confidence interval (CI) = 1.63-1.84]. Five common incident cancers associated with acute critical illness were hematologic malignancy (aSHR = 4.00, 95% CI = 3.11-5.14), cancers of liver (aSHR = 2.25, 95% CI = 1.93-2.63), uterus (aSHR = 1.86, 95% CI = 1.32-2.61), head and neck (aSHR = 1.79, 95% CI = 1.39-2.30) and esophagus (aSHR = 1.62, 95% CI = 1.09-2.42). Among these cancers, septicemia/septic shock was found to confer a higher risk of incident cancer compared to other subtypes of acute critical illness.

CONCLUSIONS

This research is the first to tackle this clinically relevant issue regarding the types of acute critical illness most associated with cancer development with a very large sample size and robust methods. After adjustment for the potential confounding factors and consideration of the competing risk of death, the association between having an acute critical illness and incident cancer was noted.

From data patterns to mechanistic models in acute critical illness

The complexity of the physiologic and inflammatory response in acute critical illness has stymied the accurate diagnosis and development of therapies. The Society for Complex Acute Illness was formed a decade ago with the goal of leveraging multiple complex systems approaches to address this unmet need. Two main paths of development have characterized the society's approach: (i) data pattern analysis, either defining the diagnostic/prognostic utility of complexity metrics of physiologic signals or multivariate analyses of molecular and genetic data and (ii) mechanistic mathematical and computational modeling, all being performed with an explicit translational goal. Here, we summarize the progress to date on each of these approaches, along with pitfalls inherent in the use of each approach alone. We suggest that the next decade holds the potential to merge these approaches, connecting patient diagnosis to treatment via mechanism-based dynamical system modeling and feedback control and allowing extrapolation from physiologic signals to biomarkers to novel drug candidates. As a predicate example, we focus on the role of data-driven and mechanistic models in neuroscience and the impact that merging these modeling approaches can have on general anesthesia.

Assessment of dialysis dose in critically ill maintenance dialysis patients

Maintenance dialysis patients are admitted more frequently to the intensive care unit (ICU) and have higher ICU mortality than the general population. It is unclear if such dialysis patients receive adequate dialysis in the ICU setting. Using the Daugirdas formula for calculation of spKt/Vurea, single treatment delivered dialysis dose was assessed in 85 critically ill maintenance hemodialysis patients during their first ICU dialysis session. Weekly delivered spKt/Vurea was determined in the surviving 64 patients and compared with their corresponding delivered outpatient dialysis dosages. Outcome measures were ICU and in-hospital mortality and mortality at 6 and 12 months after discharge. Prescribed dose of the first ICU dialysis was a spKt/Vurea of 1.43 ± 0.11, the single treatment delivered dose was 1.02 ± 0.14. The weekly prescribed ICU Kt/Vurea was 4.25 ± 0.12 and delivered ICU Kt/Vurea was 3.48 ± 0.19. Patients with sepsis had the lowest mean spKt/Vurea values (0.87 ± 0.12). Serial measurements of delivered dialysis dose suggest that this gap is explained by variability of volume of urea distribution. ICU mortality was 25% and was related to APACHE II score, but not to delivered intermittent hemodialysis dose. Critically ill maintenance dialysis patients receive suboptimal dialysis doses. The impact of short-term underdialysis on survival of hospitalized maintenance dialysis patients remains unknown. Assessment of dialysis adequacy should be routinely performed in these patients and delivered dialysis should be tracked through the initial clinical course.