Development of a novel rapid response event review process for quality improvement.

INTRODUCTION: Rapid response team (RRT) and code activation events occur relatively commonly in inpatient settings. RRT systems have been the subject of a significant amount of analysis, although this has been largely focused on the impact of RRT system implementation and RRT events on patient outcomes. There is reason to believe that the structured assessment of RRT and code events may be an effective way to identify opportunities for system improvement, although no standardised approach to event analysis is widely accepted. We developed and refined a protocolised system of RRT and code event review, focused on sustainable, timely and high value event analysis meant to inform ongoing improvement activities. METHODS: A group of clinicians with expertise in process and quality improvement created a protocolised analytic plan for rapid response event review, piloted and then iteratively optimised a systematic process which was applied to all subsequent cases to be reviewed. RESULTS: Hospitalist reviewers were recruited and trained in a methodical approach. Each reviewer performed a chart review to summarise RRT events, and collect specific variables for each case (coding). Coding was then reviewed for concordance, at monthly interdisciplinary group meetings and 'Action Items' were identified and considered for implementation. In any 12-month period starting in 2021, approximately 12-15 distinct cases per month were reviewed and coded, offering ample opportunities to identify trends and patterns. CONCLUSION: We have developed an innovative process for ongoing review of RRT-Code events. The review process is easy to implement and has allowed for the timely identification of high value improvement opportunities.

Implementing a Hospitalist Comanagement Service in Orthopaedic Surgery.

➤ Hospitalist comanagement of patients undergoing orthopaedic surgery is a growing trend across the United States, yet its implementation in an academic tertiary care hospital can be complex and even contentious.➤ Hospitalist comanagement services lead to better identification of at-risk patients, optimization of patient care to prevent adverse events, and streamlining of the admission process, thereby enhancing the overall service efficiency.➤ A successful hospitalist comanagement service includes the identification of service stakeholders and leaders; frequent consensus meetings; a well-defined standardized framework, with goals, program metrics, and unified commands; and an occasional satisfaction assessment to update and improve the program.➤ In this article, we establish a step-by-step protocol for the implementation of a comanagement structure between orthopaedic and hospitalist services at a tertiary care center, outlining specific protocols and workflows for patient care and transfer procedures among various departments, particularly in emergency and postoperative situations.

Dynamic Prediction of Post-Acute Care Needs for Hospitalized Medicine Patients.

OBJECTIVES: Use patient demographic and clinical characteristics at admission and time-varying in-hospital measures of patient mobility to predict patient post-acute care (PAC) discharge. DESIGN: Retrospective cohort analysis of electronic medical records. SETTING AND PARTICIPANTS: Patients admitted to the two participating Hospitals from November 2016 through December 2019 with ≥72 hours in a general medicine service. METHODS: Discharge location (PAC vs home) was the primary outcome, and 2 time-varying measures of patient mobility, Activity Measure for Post-Acute Care (AM-PAC) Mobility "6-clicks" and Johns Hopkins Highest Level of Mobility, were the primary predictors. Other predictors included demographic and clinical characteristics. For each day of hospitalization, we predicted discharge to PAC using the demographic and clinical characteristics and most recent mobility data within a random forest (RF) for survival, longitudinal, and multivariate (RF-SLAM) data. A regression tree for the daily predicted probabilities of discharge to PAC was constructed to represent a global summary of the RF. RESULTS: There were 23,090 total patients and compared to PAC, those discharged home were younger (64 vs 71), had shorter length of stay (5 vs 8 days), higher AM-PAC at admission (43 vs 32), and average AM-PAC throughout hospitalization (45 vs 35). AM-PAC was the most important predictor, followed by age, and whether the patient lives alone. The area under the hospital day-specific receiver operating characteristic curve ranged from 0.76 to 0.79 during the first 5 days. The global summary tree explained 75% of the variation in predicted probabilities for PAC from the RF. Sensitivity (75%), specificity (70%), and accuracy (72%) were maximized at a PAC probability threshold of 40%. CONCLUSIONS AND IMPLICATIONS: Daily assessment of patient mobility should be part of routine practice to help inform care planning by hospital teams. Our prediction model could be used as a valuable tool by multidisciplinary teams in the discharge planning process.

LFA1 and ICAM1 are critical for fusion and spread of murine leukemia virus in vivo.

Murine leukemia virus (MLV)-presenting cells form stable intercellular contacts with target cells during infection of lymphoid tissue, indicating a role of cell-cell contacts in retrovirus dissemination. Whether host cell adhesion proteins are required for retrovirus spread in vivo remains unknown. Here, we demonstrate that the lymphocyte-function-associated-antigen-1 (LFA1) and its ligand intercellular-adhesion-molecule-1 (ICAM1) are important for cell-contact-dependent transmission of MLV between leukocytes. Infection experiments in LFA1- and ICAM1-deficient mice demonstrate a defect in MLV spread within lymph nodes. Co-culture of primary leukocytes reveals a specific requirement for ICAM1 on donor cells and LFA1 on target cells for cell-contact-dependent spread through trans- and cis-infection. Importantly, adoptive transfer experiments combined with a newly established MLV-fusion assay confirm that the directed LFA1-ICAM1 interaction is important for retrovirus fusion and transmission in vivo. Taken together, our data provide insights on how retroviruses exploit host proteins and the biology of cell-cell interactions for dissemination.

Selection of Human Cytomegalovirus Mutants with Resistance against PDGFRα-Derived Entry Inhibitors.

The human cytomegalovirus (HCMV) infects fibroblasts via an interaction of its envelope glycoprotein gO with the cellular platelet-derived growth factor receptor alpha (PDGFRα), and soluble derivatives of this receptor can inhibit viral entry. We aimed to select mutants with resistance against PDGFRα-Fc and the PDGFRα-derived peptides GT40 and IK40 to gain insight into the underlying mechanisms and determine the genetic barrier to resistance. An error-prone variant of strain AD169 was propagated in the presence of inhibitors, cell cultures were monitored weekly for signs of increased viral growth, and selected viruses were tested regarding their sensitivity to the inhibitor. Resistant virus was analyzed by DNA sequencing, candidate mutations were transferred into AD169 clone pHB5 by seamless mutagenesis, and reconstituted virus was again tested for loss of sensitivity by dose-response analyses. An S48Y mutation in gO was identified that conferred a three-fold loss of sensitivity against PDGFRα-Fc, a combination of mutations in gO, gH, gB and gN reduced sensitivity to GT40 by factor 4, and no loss of sensitivity occurred with IK40. The resistance-conferring mutations support the notion that PDGFRα-Fc and GT40 perturb the interaction of gO with its receptor, but the relatively weak effect indicates a high genetic barrier to resistance.

Impact of Do-Not-Resuscitate Orders on Nursing Clinical Decision Making.

OBJECTIVES: Code status specifies the action that healthcare providers should take in the event of cardiac arrest. Studies have shown, however, that patients with do-not-resuscitate/do-not-intubate (DNR/DNI) orders have worse outcomes and do not consistently receive the standard of care. Several studies have demonstrated that physicians behave differently toward patients with DNR/DNI orders, but little research exists into whether DNR/DNI status affects the practice of other members of the care team. Our objective was to determine whether code status affects decision making by nursing staff. METHODS: This was an anonymous, self-administered survey of nurses between April 2018 and March 2019 using SurveyMonkey. The survey contained four previously published clinical vignettes followed by a series of questions regarding specific interventions tailored to reflect nursing escalation of care. Our focus was two local hospitals: one large academic quaternary-referral center and one large community hospital. Registered nurses on medical-surgical units identified based on available unit-specific e-mail listservs from both hospitals were the participants. Nurses in higher-acuity units were excluded. RESULTS: Nurses are significantly less likely to call rapid response or a physician when a patient undergoes certain changes in clinical status if the patient is labeled as DNR/DNI rather than full code. For all of the vignettes, respondents were less likely to say they would call rapid response or a physician for patients with a DNR/DNI status who developed tachycardia (P < 0.001). Nurses also were less likely to escalate care for patients with DNR/DNI status who developed tachypnea or mental status changes. Nurses were equally likely to call a physician for the development of abdominal pain or new hypotension (P > 0.05). Nurses with >3 years of experience were less likely to escalate care throughout the vignettes (odds ratio <1). CONCLUSIONS: This study is the first to demonstrate that code status affects decision making by nursing staff. It highlights the limitations that code status designations create with regard to patient care. By acknowledging that patients with DNR/DNI orders receive different care, we can create systems in which patients are treated equally, regardless of their code status.

An Epha4/Sipa1l3/Wnt pathway regulates eye development and lens maturation.

The signal-induced proliferation-associated family of proteins comprises four members, SIPA1 and SIPA1L1-3. Mutations of the human SIPA1L3 gene result in congenital cataracts. In Xenopus, loss of Sipa1l3 function led to a severe eye phenotype that was distinguished by smaller eyes and lenses including lens fiber cell maturation defects. We found a direct interaction between Sipa1l3 and Epha4, building a functional platform for proper ocular development. Epha4 deficiency phenocopied loss of Sipa1l3 and rescue experiments demonstrated that Epha4 acts upstream of Sipa1l3 during eye development, with both Sipa1l3 and Epha4 required for early eye specification. The ocular phenotype, upon loss of either Epha4 or Sipa1l3, was partially mediated by rax We demonstrate that canonical Wnt signaling is inhibited downstream of Epha4 and Sipa1l3 during normal eye development. Depletion of either Sipa1l3 or Epha4 resulted in an upregulation of axin2 expression, a direct Wnt/ß-catenin target gene. In line with this, Sipa1l3 or Epha4 depletion could be rescued by blocking Wnt/ß-catenin or activating non-canonical Wnt signaling. We therefore conclude that this pathomechanism prevents proper eye development and maturation of lens fiber cells, resulting in congenital cataracts.