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Paul G. Richardson Fredrik Schjesvold Katja Weisel Philippe Moreau Larry D. Anderson Darrell White Paula Rodriguez-Otero Pieter Sonneveld Monika Engelhardt Matthew Jenner Alessandro Corso Jan Dürig Michel Pavic Morten Salomo Meral Beksac Albert Oriol Jindriska Lindsay Anna Marina Liberati Monica Galli Pawel Robak Alessandra Larocca Munci Yagci Filiz Vural Abraham S. Kanate Ruiyun Jiang Lara Grote Teresa Peluso Meletios Dimopoulos 《European journal of haematology》2022,108(1):73-83
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Cheloff Abraham Z. Song Andrew B. D’Silva Kristin M. Al-Samkari Hanny 《Journal of thrombosis and thrombolysis》2022,53(3):708-711
Journal of Thrombosis and Thrombolysis - Bleeding gastrointestinal angiodysplasia may occur in patients with vasculitis and can be challenging to treat. We describe the novel use of bevacizumab... 相似文献
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Vineet Thomas Abraham 《Arthroscopy》2019,35(4):1034-1035
Assessing the time and factors influencing return to work after any procedure is very important. It helps in both preoperative counseling of patients and gives them a clear picture of the time needed to get back to work. Very few studies have commented on return to work after shoulder biceps tenodesis. In most patients, average time to return to work approximates 5 months; however, for a specific patient, the time to return to work is quite variable and multifactorial. It is important that future studies also analyze the factors and the time to return to preinjury work status. 相似文献
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Malathi Murugesan Dilip Abraham Prasanna Samuel Sitara SR Ajjampur 《Indian journal of medical microbiology》2022,40(3):330-336
BackgroundCampylobacter spp. are one of the commonest causes of diarrhea in children under five and in resource poor settings also lead to malabsorption and stunting. The purpose of this systematic review was to understand the burden of Campylobacter spp. associated diarrhea among children in the South Asian countries.MethodsThis systematic review followed the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) guidelines. Databases were searched with defined keywords for publications from the years 1998–2018. Data on proportion of positive samples was extracted to compare the rates of Campylobacter infection among children (under the age of 19) from different study populations.ResultsOf the 359 publications screened, 27 eligible articles were included in this systematic review and categorized based on study design. In 8 case-control studies, Campylobacter spp. was detected more frequently among diarrheal cases (range, 3.2–17.4%) than non-diarrheal cases (0–13%). Although there were variations in the study population, overall, children under the age of two years experienced Campylobacter diarrhea more often than older children. Most studies reported stool culture as the method used to detect Campylobacter spp. however retesting using PCR-based methods significantly increased detection rates. Limited data were available on Campylobacter species. In 4 studies that provided species data, C. jejuni (3.2–11.2%) was shown to be the most common species, followed by C. coli.ConclusionIn South Asia, Campylobacter spp. are one of the most common bacterial diarrheal pathogens affecting children but there is a paucity of data on species, risk factors and attributable sources. Although a few studies were available, the epidemiology of campylobacteriosis remains uncertain. To understand the true burden and sources of infection, more detailed studies are needed collecting data from human, animal and environmental sources and using both culture and genomic tools. 相似文献
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Background Handoffs or care transitions from the operating room (OR) to intensive care unit (ICU) are fragmented and vulnerable to communication errors. Although protocols and checklists for standardization help reduce errors, such interventions suffer from limited sustainability. An unexplored aspect is the potential role of developing personalized postoperative transition interventions using artificial intelligence (AI)-generated risks. Objectives This study was aimed to (1) identify factors affecting sustainability of handoff standardization, (2) utilize a human-centered approach to develop design ideas and prototyping requirements for a sustainable handoff intervention, and (3) explore the potential role for AI risk assessment during handoffs. Methods We conducted four design workshops with 24 participants representing OR and ICU teams at a large medical academic center. Data collection phases were (1) open-ended questions, (2) closed card sorting of handoff information elements, and (3) scenario-based design ideation and prototyping for a handoff intervention. Data were analyzed using thematic analysis. Card sorts were further tallied to characterize handoff information elements as core, flexible, or unnecessary. Results Limited protocol awareness among clinicians and lack of an interdisciplinary electronic health record (EHR)-integrated handoff intervention prevented long-term sustainability of handoff standardization. Clinicians argued for a handoff intervention comprised of core elements (included for all patients) and flexible elements (tailored by patient condition and risks). They also identified unnecessary elements that could be omitted during handoffs. Similarities and differences in handoff intervention requirements among physicians and nurses were noted; in particular, clinicians expressed divergent views on the role of AI-generated postoperative risks. Conclusion Current postoperative handoff interventions focus largely on standardization of information transfer and handoff processes. Our design approach allowed us to visualize accurate models of user expectations for effective interdisciplinary communication. Insights from this study point toward EHR-integrated, “flexibly standardized” care transition interventions that can automatically generate a patient-centered summary and risk-based report. Keyword: continuity of care, care transition, requirements analysis and design, handoffs, surgery, anesthesia, intensive and critical care, machine learning 相似文献
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Biniam Adane Gabriela Alexe Bo Kyung A. Seong Diana Lu Elizabeth E. Hwang Denes Hnisz Caleb A. Lareau Linda Ross Shan Lin Filemon S. Dela Cruz Melissa Richardson Abraham S. Weintraub Sarah Wang Amanda Balboni Iniguez Neekesh V. Dharia Amy Saur Conway Amanda L. Robichaud Benjamin Tanenbaum Kimberly Stegmaier 《Cancer cell》2021,39(6):827-844.e10