Identifying patients at risk: multi‐centre comparison of HeartMate 3 and HeartWare left ventricular assist devices
Sign Up to like & getrecommendations! Published in 2023 at "ESC Heart Failure"
DOI: 10.1002/ehf2.14308
Abstract: Since the withdrawal of HeartWare (HVAD) from the global market, there is an ongoing discussion if and which patients require prophylactically exchange for a HeartMate 3 (HM3). Therefore, it is important to study outcome differences… read more here.
Keywords: risk multi; identifying patients; multi centre; patients risk ... See more keywords
Identifying patients with EVEN‐plus syndrome using exome sequencing and clinical feature analysis: A case report
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Genetics & Genomic Medicine"
DOI: 10.1002/mgg3.2039
Abstract: The EVEN‐plus syndrome (epiphyseal–vertebral–ear–nose dysplasia plus associated findings) is an extremely rare autosomal recessive inherited disease characterised by specific facial features and skeletal dysplasia. It has a prenatal onset due to defects in the HSPA9… read more here.
Keywords: using exome; syndrome using; identifying patients; plus syndrome ... See more keywords
IDENTIFYING PATIENTS' LEVEL OF PAIN PREOPERATIVELY TO IMPROVE POSTOPERATIVE PAIN MANAGEMENT
Sign Up to like & getrecommendations! Published in 2017 at "Journal of PeriAnesthesia Nursing"
DOI: 10.1016/j.jopan.2017.06.036
Abstract: used in either of these incidences. From January 2014 through February 2017, there were no MDRPU related to the BP cuffs in the Perioperative/Perianesthesia area. Implications for perianesthesia nurses: This quality improvement practice change resulted… read more here.
Keywords: patients level; preoperatively improve; level pain; pain preoperatively ... See more keywords
Performance of algorithms for identifying patients with chronic hepatitis B or C infection in the french health insurance claims databases using the ANRS CO22 HEPATHER cohort
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Viral Hepatitis"
DOI: 10.1111/jvh.13788
Abstract: The validity of algorithms for identifying patients with chronic hepatitis B or C virus (HBV or HCV) infection in claims databases has been little explored. The performance of 15 algorithms was evaluated. Data from HBV‐… read more here.
Keywords: patients chronic; identifying patients; algorithms identifying; infection ... See more keywords
Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Internet Research"
DOI: 10.2196/29186
Abstract: Background Patients use social media as an alternative information source, where they share information and provide social support. Although large amounts of health-related data are posted on Twitter and other social networking platforms each day,… read more here.
Keywords: identifying patients; classification; disease; level ... See more keywords
Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing
Sign Up to like & getrecommendations! Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/shti190482
Abstract: Social and behavioral factors influence health but are infrequently recorded in electronic health records (EHRs). Here, we demonstrate that psychosocial vital signs can be extracted from EHR data. We processed structured and unstructured EHR data… read more here.
Keywords: natural language; health; identifying patients; language processing ... See more keywords
Identifying Patients at Risk for Sepsis.
Sign Up to like & getrecommendations! Published in 2018 at "Critical care nurse"
DOI: 10.4037/ccn2018245
Abstract: ©2018 American Association of Critical-Care Nurses doi:https://doi.org/10.4037/ccn2018245 QGiven all the changes in sepsis definitions, what is the best way to know if a patient is at risk for sepsis? be used in the ICU as… read more here.
Keywords: sepsis; identifying patients; risk sepsis; patients risk ... See more keywords