Xiao, Huijun

OBJECTIVES: Current research does not address the existence and impact of structured tele-critical care (TCC) training on the delivery of care in the ICU. This pilot study aimed to evaluate the association between on boarding elements focused on training and clinicians perceptions of delivery of care. DESIGN: Cross-sectional survey study. SETTING AND PARTICIPANTS: Critical Care professionals at four U.S. hospitals, professional meetings and Society of Critical Care Medicine’s International Membership base. Participants were active clinicians who practice in the TCC setting. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 432 participants responded to the survey, 227 met the eligibility criteria (52.5%) and were included in the analysis. Respondents were a multi-professional group of TCC clinicians aged between 35–55 years of age (56.4%). Seventy-four percent of respondents reported having orientation before providing TCC, 46% reported having formal mentorship, and 66% reported formal training on their institutional platform. Provision of orientation before participating in a TCC program was associated with higher ratings of feeling prepared (odds ratio [OR], 3.52; p < 0.001) and feeling accepted as part of the ICU team (OR, 2.21; p = 0.008). Mentorship was associated with feeling more prepared (OR, 8.2; p < 0.001) and higher comfort in delivering care (OR, 2.78; p = 0.016). Platform training was associated with feeling more prepared (OR, 4.66; p < 0.001), comfortable in delivering care (OR, 3.6; p = 0.002), feeling accepted as part of the team (OR, 3.18; p < 0.001), and more likely to participate in quality improvement (OR, 2.51; p = 0.001). A site visit also made a positive impact in feeling prepared (OR, 2.86; p < 0.001), comfortable (OR, 4.95; p = 0.002), feeling like recommendations were accepted (OR, 3.73; p < 0.001), more likely to recommend TCC (OR, 3.18; p = 0.001), and participating in quality improvement (OR, 3.24; p < 0.001). CONCLUSIONS: In this pilot study, structured training utilizing orientation, mentorship, and platform training as surrogates, along with a site visit before beginning delivery of care in a TCC setting, were associated with more positive perceptions in the delivery of care domains assessed. We highlight potentially important factors that warrant further evaluation and assessment of the need for standardization across TCC programs.

Introduction: Solitary fibrous tumor (SFT) is a fibroblastic tumor with malignant potential that is underpinned by a recurrent inv12(q13q13)-derived NAB2::STAT6 fusion. Breast and axilla are uncommon locations for this entity. Methods: Records of two academic institutions were electronically searched for breast and axillary SFTs. Clinical and pathologic data were reviewed. Literature review for breast or axillary SFTs was performed. Present study and previously reported tumors were stratified using five SFT risk models: original and modified Demicco metastatic risk, Salas local recurrence risk, Salas metastatic risk, and Thompson local recurrence risk. Results: Five patients with breast or axillary SFT were identified. Median age was 49 years, and median follow-up (available for four patients) was 82 months. Three patients showed no evidence of disease, and one developed recurrence. Literature review identified 58 patients with breast or axillary SFT. Median age was 54 years, and median follow-up (available for 35 patients) was 24 months. Thirty-one patients showed no evidence of disease, three developed recurrence, and one developed metastasis. Original and modified Demicco models and Thompson model showed the highest sensitivity; original and modified Demicco models and Salas metastatic risk model demonstrated the highest specificity. Kaplan–Meier models were used to assess recurrence-free probability (RFP). Original and modified Demicco models predicted RFP when stratified by “low risk” and “moderate/intermediate and high risk” tumor, though sample size was small. Conclusions: While many SFTs of breast and axilla remain indolent, a subset may develop recurrence and rarely metastasize. The modified Demicco risk model demonstrated optimal performance characteristics.