Higher Limbic and Basal Ganglia volumes in surviving COVID-negative patients and the relations to fatigue.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV2) has caused a global pandemic. Among several systemic abnormalities, little is known about the critical attack on the central nervous system (CNS). Several patient reports with multiple pathologies, ischemic strokes, mild infarcts, encephalitis, cerebrovascular abnormalities, cerebral inflammation, and loss of consciousness, indicate CNS involvement. However, due to limited neuroimaging studies, conclusive group level effects are scarce in the literature and replication studies are necessary to verify if these effects persist in surviving acute-COVID patients. Furthermore, recent reports indicate fatigue is highly prevalent among slowly recovering patients. How early structural changes relate to fatigue need to be investigated. Our goal was to address this by scanning COVID subjects two weeks after hospital discharge. We hypothesized these surviving patients will demonstrate altered gray matter volume (GMV) when compared to healthy controls and further demonstrate correlation of GMV with fatigue. Voxel-based morphometry was applied to T1-weighted MRI images between 46 patients with COVID and 32 healthy controls. Significantly higher GMV in the Limbic System and Basal Ganglia regions were observed in surviving COVID-19 patients when compared to healthy controls. Moreover, within the patient group, there was a significant positive correlation between GMV and self-reported fatigue scores during work, within the ventral Basal Ganglia and Ventromedial Prefrontal Cortex regions. Therefore, our results align with both single case acute patient reports and current group level neuroimaging findings. Finally, we newly report a positive correlation of GMV with fatigue in COVID survivors.

40. Impact of an Antimicrobial Intake Process within a Post-acute Medical System

Background Implementation of antimicrobial stewardship programs (ASPs) within long-term acute care facilities (LTACs) is challenging due to limited resources and missing patient data from transferring facilities. In October 2018, an ASP was established within a 43-hopital system consisting of LTACs and rehabilitation hospitals. Despite the presence of a restricted antimicrobial policy, increased utilization was observed for five restricted antimicrobials. The system ASP committee implemented a multipronged approach to optimize utilization of these five agents. Investigators sought to assess the impact of an antimicrobial intake process on antimicrobial consumption. Methods This was a retrospective analysis within a 43-hospital system of LTACs and rehabilitation hospitals, comparing use of five restricted antibiotics before (Jul19-Jun20) and after (Jul20-Apr21) implementation of a data-collection and system review process. An antibiotic intake form and process for review for five restricted antibiotics (ceftaroline, ceftazidime/avibactam, ceftolozane/tazobactam, fidaxomicin, meropenem/vaborbactam) was approved at the system ASP committee. The intake form consisted of a restricted antibiotic form, cultures and susceptibilities, physician notes, and other pertinent data. Any orders for the five antibiotics required completion of an intake form and submission to system ASP members for review and recommendations. Antibiotic consumption was measured in cost per acute patient day (cost/pd) using a 2-sided t-test. Results Post-implementation, the five restricted antibiotics comprised 29.1% of the total antibiotic expenditure for the healthcare system compared to 35.6% pre-implementation. Ten months after program implementation, the total antibiotic cost/PD decreased 29.45% [(&12.02 ± 2.29) vs. (&8.48 ± 1.45); p=0.0003]. The cost/PD of the five restricted antibiotics decreased 42.52% [(&4.28 ± 1.09) vs. (&2.46 ± 0.99) ; p=0.0005]. Conclusion Implementation of an antimicrobial intake process within a post-acute medical system resulted in a significant reduction in antibiotic consumption for five targeted antibiotics as well as overall antibiotic expenditure. Disclosures All Authors: No reported disclosures

Inferring the Frank–Starling Curve From Simultaneous Venous and Arterial Doppler: Measurements From a Wireless, Wearable Ultrasound Patch

The Frank–Starling relationship is a fundamental concept in cardiovascular physiology, relating change in cardiac filling to its output. Historically, this relationship has been measured by physiologists and clinicians using invasive monitoring tools, relating right atrial pressure (Pra) to stroke volume (SV) because the Pra-SV slope has therapeutic implications. For example, a critically ill patient with a flattened Pra-SV slope may have low Pra yet fail to increase SV following additional cardiac filling (e.g., intravenous fluids). Provocative maneuvers such as the passive leg raise (PLR) have been proposed to identify these “fluid non-responders”; however, simultaneously measuring cardiac filling and output via non-invasive methods like ultrasound is cumbersome during a PLR. In this Hypothesis and Theory submission, we suggest that a wearable Doppler ultrasound can infer the Pra-SV relationship by simultaneously capturing jugular venous and carotid arterial Doppler in real time. We propose that this method would confirm that low cardiac filling may associate with poor response to additional volume. Additionally, simultaneous assessment of venous filling and arterial output could help interpret and compare provocative maneuvers like the PLR because change in cardiac filling can be confirmed. If our hypothesis is confirmed with future investigation, wearable monitors capable of monitoring both variables of the Frank–Starling relation could be helpful in the ICU and other less acute patient settings.

Comparison of clinical outcomes between nurse practitioner and registrar-led medical emergency teams: a propensity-matched analysis

Objective Medical emergency teams (MET) are mostly led by physicians. Some hospitals are currently using nurse practitioners (NP) to lead MET calls. These are no studies comparing clinical outcomes between these two care models. To determine whether NP-led MET calls are associated with lower risk of acute patient deterioration, when compared to intensive care (ICU) registrar (ICUR)-led MET calls. Methods The composite primary outcome included recurrence of MET call, occurrence of code blue or ICU admission within 24 h. Secondary outcomes were mortality within 24 h of MET call, length of hospital stay, hospital mortality and proportion of patients discharged home. Propensity score matching was used to reduce selection bias from confounding factors between the ICUR and NP group. Results A total of 1343 MET calls were included (1070 NP, 273 ICUR led). On Univariable analysis, the incidence of the primary outcome was higher in ICUR-led MET calls (26.7% vs. 20.6%, p = 0.03). Of the secondary outcome measures, mortality within 24 h (3.4% vs. 7.7%, p = 0.002) and hospital mortality (12.7% vs. 20.5%, p = 0.001) were higher in ICUR-led MET calls. Propensity score-matched analysis of 263 pairs revealed the composite primary outcome was comparable between both groups, but NP-led group was associated with reduced risk of hospital mortality (OR 0.57, 95% CI 0.35–0.91, p = 0.02) and higher likelihood of discharge home (OR 1.55, 95% CI 1.09–2.2, p = 0.015). Conclusion Acute patient deterioration was comparable between ICUR- and NP-led MET calls. NP-led MET calls were associated with lower hospital mortality and higher likelihood of discharge home.

A National Look at Hospital Bed Tower Design

This study evaluates 171 hospital bed tower designs from the past decade. The Floor-building gross square feet (BGSF)/Bed, patient care area, ratio between them, and the bed count per unit were analyzed. The findings suggest that the average patient care area has decreased 5%–10% to a 305 departmental gross square feet (DGSF)/Bed average. The patient care area, support, circulation, and area grossing on floor were found to average 908 Floor-BGSF/Bed, and were impacted by the total beds/unit. It was determined that larger bed count per unit designs with 32–36 beds/unit average 21.9% less Floor-BGSF/Bed than designs with 24 beds/unit. The research evaluates design solutions impacted by a shifting environment of regulatory change and escalating costs. The hospital bed towers represent new facilities, horizontal/vertical expansions, and 25+ design teams. Design and/or construction took place during a 10-year period (2008–2018). The acute patient unit designs were reviewed and electronically quantified. The area measurement methodology aligns with the guidelines set forth in the “Area Calculation Method for Health Care” guidelines. Each project team was faced with a unique but similar set of circumstances. The balance between core values, guiding principles, budget, and quality of care was always present and included a diverse combination of owners, designers, construction delivery methods, profit models, and clinical approaches. In today’s world, common solutions are grounded in providing the best value. Project teams face a number of challenges during design. The lack of information should never be one.

Serum Total Thyroxine Evaluation in Critically Ill Feline Patients

This retrospective case control study compared serum total thyroxine (tT4) concentrations in hospitalized critical cats (CCs) and non-hospitalized cats with non-thyroidal chronic diseases (chronic group, CG) and evaluated the relationship between the serum tT4 concentration of CCs and systemic inflammation (systemic inflammatory response syndrome (SIRS)), disease severity (Acute Patient Physiologic and Laboratory Evaluation (APPLEfast)), and prognosis. Cats with previously suspected or diagnosed thyroid disease were excluded. Serum tT4 was evaluated in surplus serum samples at the time of admission for CCs and CGs. The APPLEfast score of the CC group was calculated at admission. The systemic inflammatory response syndrome (SIRS) in CCs was determined using proposed criteria. Cats were divided into survivors and non-survivors according to the discharge outcome. Forty-nine cats were retrospectively included. Twenty-seven cats died during hospitalization. The CG group was composed of 37 cats. The CC group showed a significantly lower tT4 compared to the CG group (1.3 ± 0.7 vs. 2 ± 0.9; p < 0.0001). Among SIRS, APPLEfast, and tT4, only tT4 was associated with mortality (p = 0.04). The tT4 cut-off point for mortality was 1.65 μg/dL (sensitivity 81%, specificity 57%, odds ratio (OR) 5.6). Twenty-five cats (51%) had SIRS that was not associated with tT4. Non-thyroidal illness syndrome can occur in critically ill cats and the evaluation of tT4 in hospitalized cats could add prognostic information.