Critical care management of patients with lymphatic conduction disorders.

Lymphatic dysfunction in critical illness is complex. Primary complex lymphatic anomalies can lead to profound organ dysfunction, particularly respiratory failure and shock. Critical illness, the complications of critical illness, and the procedures and therapies used to treat critical illness, can lead to secondary lymphatic dysfunction. This is most often seen with congenital and acquired cardiovascular disease and respiratory disease. The critical care management of these patients requires an expert multidisciplinary team.

Ultrasound in Cardiopulmonary Arrest and Resuscitation: Constructing Comprehensive Implementation Frameworks in High-Risk Settings.

OBJECTIVES: Information obtained from point-of-care ultrasound during cardiopulmonary arrest and resuscitation (POCUS-CA) can be used to identify underlying pathophysiology and provide life-sustaining interventions. However, integration of POCUS-CA into resuscitation care is inconsistent. We used expert consensus building methodology to help identify discrete barriers to clinical integration. We subsequently applied implementation science frameworks to generate generalizable strategies to overcome these barriers. MEASURES AND MAIN RESULTS: Two multidisciplinary expert working groups used KJ Reverse-Merlin consensus building method to identify and characterize barriers contributing to failed POCUS-CA utilization in a hypothetical future state. Identified barriers were organized into affinity groups. The Center for Implementation Research (CFIR) framework and Expert Recommendations for Implementing Change (CFIR-ERIC) tool were used to identify strategies to guide POCUS-US implementation. RESULTS: Sixteen multidisciplinary resuscitation content experts participated in the working groups and identified individual barriers, consolidated into 19 unique affinity groups that mapped 12 separate CFIR constructs, representing all 5 CFIR domains. The CFIR-ERIC tool identified the following strategies as most impactful to address barriers described in the affinity groups: identify and prepare champions, conduct local needs assessment, conduct local consensus discussions, and conduct educational meetings. CONCLUSIONS: KJ Reverse-Merlin consensus building identified multiple barriers to implementing POCUS-CA. Implementation science methodologies identified and prioritized strategies to overcome barriers and guide POCUS-CA implementation across diverse clinical settings.

Counternarratives that illuminate faculty agency: A five-year longitudinal qualitative study of physician educators in academic medicine.

PURPOSE: Physician educators are often expected to direct educational programs and assume roles that conform to field norms for career advancement but that may not afford meaningful work for educators. The purpose of this study was to describe and analyse the perspectives and actions taken by physician educators in response to tension between feeling compelled to direct an educational program and doing educationally meaningful work. METHODS AND MATERIALS: We used data from a longitudinal study and focused on three participants who, over the course of the five-year study, offered significant insights into how physician educators act in ways that run counter to expectations for career advancement. Our narrative analysis entailed organizing data from interview transcripts into time-ordered displays, weaving data into counternarratives that were edited by participants, and using the theory of faculty agency (and its key constructs, strategic perspectives and strategic action) to thread the stories together. RESULTS: In each counternarrative, the participant deliberated their sense of being a physician educator (strategic perspectives) and when expectations became untenable, they did what they needed to do to engage in meaningful work (strategic action) rather than comply with expectations for career advancement in academic medicine. For one participant, faculty agency meant leaving academic medicine; for another, it meant reducing clinical time so that unpaid time could be devoted to education; and for another, it meant opting not do direct a reputable education program. CONCLUSIONS: Faculty agency is a useful theoretical lens for conceptualizing how physician educators navigate their careers in academic medicine. Counternarratives that illuminate faculty agency offer stories that describe alternate career paths and portend a different future for physician educators.

Into the Unknown: Characterizing Fellow Uncertainty During the Transition to Unsupervised Practice.

Background: Helping fellows confront and manage uncertainty in the course of diagnosis and treatment of patients has been a growing focus of medical education. How these same fellows confront uncertainty as they make a transition in their professional development is less commonly a focus of training programs. Better understanding of how fellows experience these transitions will allow fellows, training programs, and hiring institutions to navigate transitions more easily. Objective: This study aimed to explore how fellows in the United States experience uncertainty during the transition to unsupervised practice. Methods: Using constructivist grounded theory, we invited participants to engage in semi-structured interviews exploring experiences with uncertainty as they navigate the transition to unsupervised practice. Between September 2020 and March 2021, we interviewed 18 physicians in their final year of fellowship training from 2 large academic institutions. Participants were recruited from adult and pediatric subspecialties. Data analysis was conducted using an inductive coding approach. Results: Experiences with uncertainty during the transition process were individualized and dynamic. Primary sources of uncertainty identified included clinical competence, employment prospects, and career vision. Participants discussed multiple strategies for mitigating uncertainty, including structured graduated autonomy, leveraging professional networks locally and non-locally, and utilizing established program and institutional supports. Conclusions: Fellows' experiences with uncertainty during their transitions to unsupervised practice are individualized, contextual, and dynamic with several shared overarching themes.

TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States.

The Omicron wave was the largest wave of COVID-19 pandemic to date, more than doubling any other in terms of cases and hospitalizations in the United States. In this paper, we present a large-scale agent-based model of policy interventions that could have been implemented to mitigate the Omicron wave. Our model takes into account the behaviors of individuals and their interactions with one another within a nationally representative population, as well as the efficacy of various interventions such as social distancing, mask wearing, testing, tracing, and vaccination. We use the model to simulate the impact of different policy scenarios and evaluate their potential effectiveness in controlling the spread of the virus. Our results suggest the Omicron wave could have been substantially curtailed via a combination of interventions comparable in effectiveness to extreme and unpopular singular measures such as widespread closure of schools and workplaces, and highlight the importance of early and decisive action.

A point-of-care ultrasound education curriculum for pediatric critical care medicine.

BACKGROUND: Diagnostic and procedural point-of-care ultrasound (POCUS) change patient management with the potential to improve outcomes. Pediatric critical care medicine trainees have limited access to education and training opportunities in diagnostic POCUS in the pediatric ICU. A dearth of published pediatric ICU curricular resources restricts these educational opportunities. METHODS: A 7-week longitudinal curriculum including lectures, practical skills sessions, and knowledge assessment covering core modules including (1) machine operation, (2) vascular access, (3) non-vascular procedures, (4) cardiac imaging, (5) hemodynamic assessment, (6) pulmonary imaging, and (7) abdominal imaging, was disseminated to pediatric critical care trainees and faculty at a single tertiary care pediatric hospital. RESULTS: The knowledge of trainees and participating faculty in procedural and diagnostic POCUS improved after implementing the curriculum. Pre-test scores mean and standard deviation (59.30% ± 14.15%) improved significantly (75.60% ± 9.43%) for all learners (p < 0.001). The overall self-reported comfort in diagnostic and procedural ultrasound improved for all learners. 100% of the learners reported utilizing diagnostic POCUS in their clinical practice four months after disseminating the curriculum. DISCUSSION: We describe a single center's approach to POCUS education with improvement in knowledge, self-reported comfort, and attitudes towards procedural and diagnostic POCUS. The curricular resources for adaptation in a similar educational context are provided.

Facilitators and Barriers to Implementing Two Quality Improvement Interventions Across 10 Pediatric Intensive Care Units: Video Laryngoscopy-Assisted Coaching and Apneic Oxygenation.

To better understand facilitators and barriers to implementation of quality improvement (QI) efforts, this study examined 2 evidence-based interventions, video laryngoscopy (VL)-assisted coaching, and apneic oxygenation (AO). One focus group with frontline clinicians was held at each of the 10 participating pediatric intensive care units. Qualitative analysis identified common and unique themes. Intervention fidelity was monitored with a priori defined success as >50% VL-assisted coaching or >80% AO use for 3 consecutive months. Eighty percent of intensive care units with VL-assisted coaching and 20% with AO met this criteria during the study period. Common facilitator themes were adequate device accessibility, having a QI culture, and strong leadership. Common barrier themes included poor device accessibility and perception of delay in care. A consistently identified theme in the successful sites was strong QI leadership, while unsuccessful sites consistently identified insufficient education. These facilitators and barriers should be proactively addressed during dissemination of these interventions.

Machine Learning for Subtyping Concussion Using a Clustering Approach.

Background: Concussion subtypes are typically organized into commonly affected symptom areas or a combination of affected systems, an approach that may be flawed by bias in conceptualization or the inherent limitations of interdisciplinary expertise. Objective: The purpose of this study was to determine whether a bottom-up, unsupervised, machine learning approach, could more accurately support concussion subtyping. Methods: Initial patient intake data as well as objective outcome measures including, the Patient-Reported Outcomes Measurement Information System (PROMIS), Dizziness Handicap Inventory (DHI), Pain Catastrophizing Scale (PCS), and Immediate Post-Concussion Assessment and Cognitive Testing Tool (ImPACT) were retrospectively extracted from the Advance Concussion Clinic's database. A correlation matrix and principal component analysis (PCA) were used to reduce the dimensionality of the dataset. Sklearn's agglomerative clustering algorithm was then applied, and the optimal number of clusters within the patient database were generated. Between-group comparisons among the formed clusters were performed using a Mann-Whitney U test. Results: Two hundred seventy-five patients within the clinics database were analyzed. Five distinct clusters emerged from the data when maximizing the Silhouette score (0.36) and minimizing the Davies-Bouldin score (0.83). Concussion subtypes derived demonstrated clinically distinct profiles, with statistically significant differences (p < 0.05) between all five clusters. Conclusion: This machine learning approach enabled the identification and characterization of five distinct concussion subtypes, which were best understood according to levels of complexity, ranging from Extremely Complex to Minimally Complex. Understanding concussion in terms of Complexity with the utilization of artificial intelligence, could provide a more accurate concussion classification or subtype approach; one that better reflects the true heterogeneity and complex system disruptions associated with mild traumatic brain injury.

New-onset depression after colorectal cancer diagnosis: a population-based longitudinal study.

INTRODUCTION: To date, no large studies examining the temporal relationship between colorectal cancer (CRC) and the subsequent development of depressive disorders exist. We aimed to assess the incidence of depression post-colorectal cancer (CRC) diagnosis. METHODS: To conduct this longitudinal study, we searched the large US population-based database, Explorys (IBM), from January 1, 1999, to January 1, 2021. We investigated new-onset depression and its associated mortality as well as the role of the mental health provider post-CRC diagnosis. Confidence intervals were calculated for all outcomes and multivariate regression analysis was performed. RESULTS: Incident depression post-CRC diagnosis was 20.8 vs 8.9 per 100 person-years [OR 3.46, p < 0.0001] in the general population and conferred a 123% increased risk of all-cause mortality [P < 0.0001]. Male patients (OR: 1.89) were more likely to become depressed post-CRC diagnosis as compared to females. Moreover, the absolute number of male patients with post-CRC depression was significantly higher than that of females (68% vs 32%; P < 0.0001). In addition, depression after CRC was more common among Whites (OR: 1.68) and patients aged > 65 years (OR: 5.17). Referral to a mental health provider resulted in significantly lower all-cause mortality (3.6% vs 26.9%; p < 0.0001). DISCUSSION: Our findings advocate for initiating depression screening for high-risk patients post-CRC diagnosis and prompt mental health provider referral.

Navigating landscapes of practice: A longitudinal qualitative study of physicians in medical education.

INTRODUCTION: Despite its widespread application in medical education, belonging to a single community of practice does not reflect the overall experience of physician-educators. Knowing how physician-educators find their way among different communities of practice (ie their landscape of practice) has implications for professional development but the limited description in the literature. In this longitudinal qualitative research, we explored how physicians who pursue graduate degrees in medical education navigate their landscape of practice. METHODS: 11/29 physicians in one cohort of a masters in medical education programme were interviewed annually from 2016 (programme start) to 2020 (2 years post-graduation). We iteratively collected and analysed data, creating inductive codes and categorising coded data by mode of identification (engagement, imagination, alignment) and time. We organised narratives into time-ordered data matrices so that final analysis wove together mode, time and participant. RESULTS: All participants consistently spoke of navigating their landscape of practice, which included the community created in the graduate programme; but that single community 'doesn't define the journey itself'. They shifted engagement from teaching individual learners to translating what they learned in the graduate programme to develop educational projects and produce scholarship. They shifted the imagination from relying on internal and external assessments to experience-inspired versions of their future self. And they shifted alignment from belonging to the graduate programme's community of practice, then belonging to different communities in their landscape of practice and ultimately focussing on communities that mattered most to them. DISCUSSION: Physicians in a graduate programme in medical education navigated their dynamic landscape of practice by shifting how they engaged in medical education, as well as what they imagined and who they aligned with as physician-educators. Our work offers novel insights into how knowledgeability emerges through time as overlapping modes of identification.

Creating a "Culture of Triage": A Dual-Perspective Study of Interruptions During ICU Rounds.

OBJECTIVES: To explore interrupters' and interruptees' experiences of interruptions occurring during morning rounds in a PICU in an attempt to understand better how to limit interruptions that threaten patient safety. DESIGN: Qualitative ethnographic study including observations, field interviews, and in-depth interviews. SETTING: A 55-bed PICU in a free-standing, quaternary-care children's hospital. SUBJECTS PARTICIPANTS: Attending physicians, fellow physicians, frontline clinicians (resident physicians and nurse practitioners), and nurses working in the PICU. INTERVENTIONS: Data collection occurred in two parts: 1) field observations during morning rounds with brief field interviews conducted with participants involved in an observed interruption and 2) in-depth interviews conducted with selected participants from prior field observations. MEASUREMENTS AND MAIN RESULTS: Data were coded using a constant comparative method with thematic analysis, clustering codes into groups, and subsequently into themes. We observed 11 rounding encounters (17 hr of observation and 48 patient encounters), conducting 25 field interviews and eight in-depth interviews. Themes included culture of interruption triage, interruption triage criteria, and barriers to interruption triage. Interruptees desired forming a culture of triage, whereby less-urgent interruptions were deferred until later or addressed through an asynchronous method; this desire was misaligned with interrupters who described ongoing interruption triage based on clinical changes, time-sensitivity, and interrupter comfort, despite not having a formal triage algorithm. Barriers to interruption triage included a lack of situational awareness and experience among interrupters and interruptees. CONCLUSIONS: Interrupters and interruptees did not have a shared understanding of the culture of triage within the PICU. Although interrupters attempted to triage interruptions, no formal triage algorithm existed and interruptees did not perceive a triaging culture. Using data from this study, we created a triage algorithm that could inform future studies, potentially decrease unnecessary interruptions, and optimize information sharing for essential interruptions.

Immunization strategies in networks with missing data.

Network-based intervention strategies can be effective and cost-efficient approaches to curtailing harmful contagions in myriad settings. As studied, these strategies are often impractical to implement, as they typically assume complete knowledge of the network structure, which is unusual in practice. In this paper, we investigate how different immunization strategies perform under realistic conditions-where the strategies are informed by partially-observed network data. Our results suggest that global immunization strategies, like degree immunization, are optimal in most cases; the exception is at very high levels of missing data, where stochastic strategies, like acquaintance immunization, begin to outstrip them in minimizing outbreaks. Stochastic strategies are more robust in some cases due to the different ways in which they can be affected by missing data. In fact, one of our proposed variants of acquaintance immunization leverages a logistically-realistic ongoing survey-intervention process as a form of targeted data-recovery to improve with increasing levels of missing data. These results support the effectiveness of targeted immunization as a general practice. They also highlight the risks of considering networks as idealized mathematical objects: overestimating the accuracy of network data and foregoing the rewards of additional inquiry.

Just-in-Time Simulation to Guide Workflow Design for Coronavirus Disease 2019 Difficult Airway Management.

OBJECTIVES: The coronavirus disease 2019 pandemic has required that hospitals rapidly adapt workflows and processes to limit disease spread and optimize the care of critically ill children. DESIGN AND SETTING: As part of our institution's coronavirus disease 2019 critical care workflow design process, we developed and conducted a number of simulation exercises, increasing in complexity, progressing to intubation wearing personal protective equipment, and culminating in activation of our difficult airway team for an airway emergency. PATIENTS AND INTERVENTIONS: In situ simulations were used to identify and rework potential failure points to generate guidance for optimal airway management in coronavirus disease 2019 suspected or positive children. Subsequent to this high-realism difficult airway simulation was a real-life difficult airway event in a patient suspected of coronavirus disease 2019 less than 12 hours later, validating potential failure points and effectiveness of rapidly generated guidance. MEASUREMENTS AND MAIN RESULTS: A number of potential workflow challenges were identified during tabletop and physical in situ manikin-based simulations. Experienced clinicians served as participants, debriefed, and provided feedback that was incorporated into local site clinical pathways, job aids, and suggested practices. Clinical management of an actual suspected coronavirus disease 2019 patient with difficult airway demonstrated very similar success and anticipated failure points. Following debriefing and assembly of a success/failure grid, a coronavirus disease 2019 airway bundle template was created using these simulations and clinical experiences for others to adapt to their sites. CONCLUSIONS: Integration of tabletop planning, in situ simulations, and debriefing of real coronavirus disease 2019 cases can enhance planning, training, job aids, and feasible policies/procedures that address human factors, team communication, equipment choice, and patient/provider safety in the coronavirus disease 2019 pandemic era.

Providing Early Attending Physician Expertise via Telemedicine to Improve Rapid Response Team Evaluations.

OBJECTIVES: To evaluate the effect of providing early attending physician involvement via telemedicine to improve the decision process of rapid response teams. DESIGN: Quasi-experimental; three pairs of control/intervention months: June/July; August/October; November/December. SETTING: Single-center, urban, quaternary academic children's hospital with three-member rapid response team: critical care fellow or nurse practitioner, nurse, respiratory therapist. Baseline practice: rapid response team leader reviewed each evaluation with an ICU attending physician within 2 hours after return to ICU. SUBJECTS: 1) Patients evaluated by rapid response team, 2) rapid response team members. INTERVENTIONS: Implementation of a smartphone-based telemedicine platform to facilitate early co-assessment and disposition planning between the rapid response team at the patient's bedside and the attending in the ICU. MEASUREMENTS AND MAIN RESULTS: As a marker of efficiency, the primary provider outcome was time the rapid response team spent per patient encounter outside the ICU prior to disposition determination. The primary patient outcome was percentage of patients requiring intubation or vasopressors within 60 minutes of ICU transfer. There were three pairs of intervention/removal months. In the first 2 pairs, the intervention was associated with the rapid response team spending less time on rapid response team calls (June/July: point estimate -5.24 min per call; p < 0.01; August/October: point estimate -3.34 min per call; p < 0.01). During the first of the three pairs, patients were significantly less likely to require intubation or vasopressors within 60 minutes of ICU transfer (adjusted odds ratio, 0.66; 95 CI, 0.51-0.84; p < 0.01). CONCLUSIONS: Early in the study, more rapid ICU attending involvement via telemedicine was associated with rapid response team providers spending less time outside the ICU, and among patients transferred to the ICU, a significant decrease in likelihood of patients requiring vasopressors or intubation within the first 60 minutes of transfer. These findings provide evidence that early ICU attending involvement via telemedicine can improve efficiency of rapid response team evaluations.

Effect of a calcium deblooming algorithm on accuracy of coronary computed tomography angiography.

BACKGROUND: Coronary artery calcification is a significant contributor to reduced accuracy of coronary computed tomographic angiography (CTA) in the assessment of coronary artery disease severity. The aim of the current study is to assess the impact of a prototype calcium deblooming algorithm on the diagnostic accuracy of CTA. METHODS: 40 patients referred for invasive catheter angiography underwent CTA and invasive catheter angiography. The CTA were reconstructed using a standard soft tissue kernel (CTASTAND) and a deblooming algorithm (CTADEBLOOM). CTA studies were read with and without the deblooming algorithm blinded to the invasive coronary angiogram findings. Sensitivity, specificity, accuracy, positive predictive value and negative predictive value for the detection of stenosis ≥50% or ≥70% were evaluated using quantitative coronary angiography as the reference standard. Image quality was assessed using a 5-point scale, and the presence of image artifact recorded. RESULTS: All studies were diagnostic with 548 segments available for evaluation. Image score was 3.64 ±â€¯0.72 with CTADEBLOOM, versus 3.56 ±â€¯0.72 with CTASTAND (p = 0.38). CTADEBLOOM had significantly less calcium blooming artifact than CTASTAND (12.5% vs. 47.5%, p = 0.001). Based on a 50% stenosis threshold for defining significant disease, the Sensitivity/Specificity/PPV/NPV/Accuracy were 65.9/84.9/27.6/96.6/83.4 for CTADEBLOOM and 75.0/81.9/26.6/97.4/81.4 for CTASTAND using a ≥50% threshold. CTADEBLOOM specificity was significantly higher than CTASTAND (84.9% vs. 81.5%, p = 0.03), with no difference between the algorithms in sensitivity (p = 0.22), or accuracy (p = 0.15). These results remained unchanged when a stenosis threshold of ≥70% was used. Interobserver agreement was fair with both techniques (CTADEBLOOM k = 0.38, CTASTAND k = 0.37). CONCLUSION: In this proof of concept study, coronary calcification deblooming using a prototype post-processing algorithm is feasible and reduces calcium blooming with an improvement of the specificity of the CTA exam.

Diagnosis of Primary Colorectal Carcinoma with Primary Breast Cancer: Associations or Connections?

Introduction Although once very uncommon, multiple primary malignant neoplasms (MPMN) are becoming an increasingly popular subject in medical literature. With 182,000 new diagnoses per annum, breast cancer is the most frequently diagnosed cancer amongst women in the United States. Colorectal cancer remains the second most commonly diagnosed cancer in females, and the third in males worldwide. Methods In order to gather literature on synchronous and metachronous occurring breast and colon cancer, we searched PubMed using keywords such as 'colorectal cancer', 'breast cancer', and 'MPMN'. We searched through case reports, case series, clinical trials, letters to the editor, and retrospective series. We included any manuscript in English published between January 1990 and January 2019. The articles featured patients who had primary colorectal cancer with primary breast cancer. Articles featuring patients with more than two malignancies or malignancies other than colorectal and breast cancer were excluded. Furthermore, any metastatic cancers were excluded as well. This narrowed our search down from over 100 manuscripts to just four.  Results Fortunately, the prognosis was found to be no different for these patients with MPMN assuming diagnosis and treatment are performed in a timely fashion. Additionally, it appears that although a patient with one primary cancer is at a greater risk for the development of a second cancer, it is still an odd phenomenon and thus an unlikely occurrence. Conclusion Detection of one cancer increases the odds of detecting another cancer. Hence, it is important to consider the possibility of a synchronous tumor in a patient with a newly diagnosed colon tumor, as well as to not only consider disease recurrence when following up post-resection.

Prognosis of CT-derived Fractional Flow Reserve in the Prediction of Clinical Outcomes.

PURPOSE: To examine the prognostic implication of fractional flow reserve (FFR) derived from coronary CT (FFRCT) in routine clinical practice. MATERIALS AND METHODS: Patients referred for FFRCT analysis at a single center between October 2015 and June 2017 were retrospectively included and followed up for rates of invasive angiography and clinical events. Two hundred seven patients underwent successful FFRCT analysis with seven lost to follow-up, leaving 200 (mean age ± standard deviation, 62.4 years ± 10.0; 49 [24.5%] women) patients for analysis. At coronary CT angiography, patients were categorized as having significant stenosis (SS) in the presence of a diameter stenosis greater than or equal to 50% (hereafter, SS positive) and flow limitation in the presence of a postlesion (that is, FFRCT measured 2 cm to the distal aspect of the lesion) FFRCT less than 0.80 (hereafter, FFRCT positive). Vessel-oriented clinical events (VOCEs) were defined as vessel-related late revascularization (>90 days), myocardial infarction, and cardiac mortality. RESULTS: At CT angiography, 130 (65%) studies were SS positive and 63 (31.5%) were FFRCT positive. At median follow-up of 477 days (range, 252-859 days), there were 26 VOCE end points in 22 patients: 22 revascularizations and four nonfatal myocardial infarctions. VOCE end points occurred in zero of 58 (0%) of SS-negative and FFRCT negative patients, in eight of 79 (10.1%) of SS-positive and FFRCT-negative patients, in zero of 12 (0%) of SS-negative and FFRCT-positive patients, and in 18 of 51 (35.3%) of SS-positive and FFRCT-positive patients (log-rank χ2 = 30.1; P < .001). At multivariable Cox regression, both FFRCT (hazard ratio per 0.1 decrease, 1.54 [95% confidence interval: 1.1, 2.2] P = .013) and stenosis (hazard ratio per unit increase, 2.16 [95% confidence interval: 1.25, 3.72] P = .006) were independently associated with VOCE. CONCLUSION: Stenosis and FFRCT are independent predictors of intermediate-term outcomes. In the absence of a stenosis greater than 50%, a positive FFRCT result is not associated with an increased intermediate risk.© RSNA, 2019Supplemental material is available for this article.See also commentary by Fairbairn and Bull in this issue.