LEADER 07715nam 2200505 450 001 9910502648903321 005 20230424165129.0 010 $a3-030-80112-8 035 $a(CKB)4100000012037934 035 $a(MiAaPQ)EBC6737950 035 $a(Au-PeEL)EBL6737950 035 $a(OCoLC)1272993339 035 $a(PPN)258057602 035 $a(EXLCZ)994100000012037934 100 $a20220628d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPalliative care in cardiac intensive care units /$fedited by Massimo Romano? 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (202 pages) 311 $a3-030-80111-X 327 $aIntro -- Foreword -- Preface -- Acknowledgements -- Contents -- About the Author -- 1: Epidemiology and Patterns of Care in Modern Cardiac Intensive Care Units -- 1.1 Introduction -- 1.2 Is There a Background for the Evolution of CICU? From the Blitz-3 to Modern International CICU Registries -- 1.3 Aging, Comorbidity, and the Risk of Futility in CICU -- 1.4 The COVID-19 Tsunami and Its Effect on CICU -- 1.5 Conclusions -- References -- 2: The Intensive and Advanced Treatments in the Cardiac Intensive Care Units -- 2.1 Introduction -- 2.2 Cardiac Arrest and Post-cardiac Arrest Syndrome -- 2.3 Advanced Heart Failure and End-Stage Heart Failure -- 2.4 Cardiogenic Shock (CS) and Low-Output Syndrome -- 2.5 Mechanical Circulatory Supports (MCSs) -- 2.6 Heart Replacement Therapies -- 2.7 Cardiac Implanted Electronic Devices (CIEDs) -- 2.8 Palliative Care in CICU -- 2.9 Palliative Inotrope Care -- References -- 3: Symptom Assessment and Management -- 3.1 The Cardiologist's Palliative Competencies -- 3.2 Measuring a Symptom -- 3.2.1 Dyspnea -- 3.2.2 Pain -- 3.2.3 Thirst -- 3.3 Cognitive and Mood Disorders -- 3.3.1 Fatigue -- 3.3.2 Gastrointestinal Symptoms -- References -- 4: The Meanings of Prognosis: When and How to Discuss It? -- 4.1 Introduction -- 4.2 Deciding Between Prognosis and Uncertainty -- 4.3 Criteria for Prognosis Definition -- 4.4 Communicating Prognosis -- 4.5 Barriers to Communication -- 4.5.1 The Disease -- 4.5.2 The Patient -- 4.5.3 Treatment Approach -- 4.5.4 The Doctor -- 4.6 Conclusions -- References -- 5: Informed Consent, Advance Directives, and Shared Care Planning -- 5.1 Introduction -- 5.2 Legal and Ethical Aspects -- 5.3 Shared Care Planning and Advance Directives in Cardiology -- 5.4 Conclusions -- References -- 6: Withholding or Withdrawing Life-Sustaining Treatments -- 6.1 Introduction. 327 $a6.2 Forgoing Life-Sustaining Treatments: The Clinical Practice -- 6.3 Physician Preferences -- 6.4 Withdrawing Life-Sustaining Treatment: Arguments in Favor -- 6.5 Withholding Life-Sustaining Treatment: Arguments in Favor -- 6.6 Withdrawing or Withholding Life-Sustaining Treatments: Means or Goals? -- 6.7 Forgoing Life-Sustaining Treatments: How to Do -- 6.7.1 Ethical Principles -- 6.7.2 Decision to Forgo Life-Sustaining Treatments: Theoretical Approach -- 6.7.3 Decision to Forgo Life-Sustaining Treatments: The Goals -- 6.7.4 Withdrawing Life-Sustaining Treatments: Basics in Clinical Practice -- 6.8 Conclusions -- References -- 7: Deactivation of Cardiac Implantable Electronic Devices (CIEDs) at the End of Life -- 7.1 Introduction -- 7.2 Implantable Cardioverter-Defibrillators (ICDs) -- 7.2.1 Ethical Problems -- 7.2.2 Information and Patient Awareness -- 7.2.3 The Opinion of Physicians and Nurses -- 7.3 Cardiac Pacemaker (PM)-Cardiac Resynchronisation Therapy-Pacemaker (CRT-P) -- 7.4 Conclusions -- References -- 8: Withdrawal of Mechanical Circulatory Support in the Cardiac Intensive Care Unit -- 8.1 Introduction -- 8.2 Why Is LST Withdrawal Challenging? -- 8.3 Ethical Consideration in Withdrawal of Cardiopulmonary Devices -- 8.4 Approach to Specific Life-Sustaining Treatments -- 8.5 Mechanical Ventilation -- 8.6 MCSDs (IABP, Impella, ECMO, and LVAD) -- 8.7 The Role of Palliative Care Consultation -- 8.8 Conclusion -- References -- 9: Do-Not-Attempt-Resuscitation Orders in the Cardiac Intensive Care Unit -- 9.1 Cardiopulmonary Resuscitation -- 9.2 Intensive Care Medicine: A Balance of Risks and Benefits -- 9.3 The Utility of DNACPR Orders -- 9.4 The Unintended Consequences of DNACPR Orders -- 9.5 Shared Decision-Making -- 9.6 Moving Beyond DNACPR Towards Resuscitation Plans -- 9.7 Conclusions -- References. 327 $a10: Palliative Sedation in Cardiac Intensive Care Units: When, Why, How -- 10.1 Introduction -- 10.2 The Definition of Palliative Sedation -- 10.3 Indications for Palliative Sedation -- 10.4 Types of Palliative Sedation -- 10.5 Pharmacological Aspects -- 10.6 Ethical Aspects in Palliative Sedation -- 10.7 The Ethical Difference Between Palliative Sedation and Euthanasia -- 10.8 The Relationship Between Palliative Sedation and Forgoing Treatment -- 10.9 Correct Decision-Making Management -- References -- 11: Nursing and the End of Life in Cardiac Intensive Care Unit (CICU) -- 11.1 Introduction -- 11.2 Decision-Making and Discussions About Goals of Care -- 11.3 Person- and Family-Centred Care -- 11.4 Care Planning -- 11.5 Palliative Interventions -- 11.6 Preparing for Withdrawal of Life-Sustaining Treatment or Imminent Death -- 11.7 Meeting Psychosocial and Spiritual Needs -- 11.8 Unanticipated Death -- 11.9 Care After Death -- References -- 12: Conflict Management in the Cardiac Intensive Care Unit -- 12.1 Conflicts in the Cardiac Intensive Care Unit: Definitions, Background, and Examples -- 12.2 Conflict Characteristics -- 12.3 Managing Conflicts: Can We Be Better In Conflicts? -- 12.4 Involvement of a Palliative Care Team: Experiences -- 12.5 How to Turn Conflict into an Opportunity for Improvement? -- 12.6 Conclusion -- References -- 13: Ethical Considerations in the Use of Technology in the Cardiac Intensive Care Unit -- 13.1 Introduction -- 13.2 Utility Versus Futility -- 13.3 When to Start and When to Stop: Withholding Versus Withdrawing -- 13.4 Hype, Hope, and Hubris -- 13.5 The External Drivers of Too Much Technology -- 13.6 The Internal Drivers of Too Much Technology -- 13.7 Conclusion -- References -- 14: Physician Education and Training in Palliative Care: A New Challenge in Modern Cardiac Intensive Care. 327 $a14.1 Introduction: The Modern Cardiac Intensive Care Unit -- 14.2 Palliative Care in the CICU -- 14.3 Primary and Specialty Palliative Care in the CICU -- 14.4 Physician Education and Training -- 14.5 Primary Palliative Care Learning Objectives -- 14.6 Communication -- 14.7 Decision-Making -- 14.8 Therapies and Interventions Unique to CICU -- 14.9 Shared Decision-Making -- 14.10 Symptom Management -- 14.11 Teaching Modalities -- 14.12 Bedside Teaching -- 14.13 Didactics -- 14.14 Case Based -- 14.15 Conclusion -- References. 606 $aCardiac intensive care 606 $aMedicina intensiva en cardiologia$2thub 606 $aTractament pal·liatiu$2thub 608 $aLlibres electrònics$2thub 615 0$aCardiac intensive care. 615 7$aMedicina intensiva en cardiologia 615 7$aTractament pal·liatiu 676 $a616.106 702 $aRomano$b Massimo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502648903321 996 $aPalliative Care in Cardiac Intensive Care Units$92785244 997 $aUNINA LEADER 07332nam 22007815 450 001 9910337561803321 005 20251113175826.0 010 $a3-030-18579-6 024 7 $a10.1007/978-3-030-18579-4 035 $a(CKB)4100000007992459 035 $a(DE-He213)978-3-030-18579-4 035 $a(MiAaPQ)EBC5924201 035 $a(PPN)235668664 035 $a(EXLCZ)994100000007992459 100 $a20190423d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabase Systems for Advanced Applications $e24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22?25, 2019, Proceedings, Part II /$fedited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIII, 785 p. 334 illus., 195 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11447 311 08$a3-030-18578-8 320 $aIncludes bibliographical references and index. 327 $aMachine Learning -- An Approach Based on Bayesian Networks for Query Selectivity Estimation -- An Exploration of Cross-Modal Retrieval for Unseen Concepts -- Continuous Patient-centric Sequence Generation via Sequentially Coupled Adversarial Learning -- DMMAM: A Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis -- Learning k-Occurrence Regular Expressions with Interleaving -- Learning from User Social Relation for Document Sentiment Classification -- Reinforcement Learning to Diversify Recommendations -- Retweeting Prediction using Matrix Factorization with Binomial Distribution and Contextual Information -- Sparse Gradient Compression for Distributed SGD -- STDR: A Deep Learning Method for Travel Time Estimation -- Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling -- Efficiently Mining Maximal Diverse Frequent Itemsets -- Privacy and Graph -- Efficient Local Search for Minimum Dominating Sets in Large Graphs.-Multi-level Graph Compression for Fast Reachability Detection -- Multiple Privacy Regimes Mechanism For Local Differential Privacy -- Privacy Preserving Elastic Stream Processing with Clouds using Homomorphic Encryption -- Select the Best for Me: Privacy-preserving Polynomial Evaluation Algorithm over Road Network -- Recommendation -- AdaCML: Adaptive Collaborative Metric Learning for Recommendation -- Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation -- Attention and Convolution Enhanced Memory Network for Sequential Recommendation -- Attention-based Neural Tag Recommender System -- Density Matrix based Preference Evolution Networks for E-commerce Recommendation -- Multi-Source Multi-Net Micro-Video Recommendation with Hidden Item Category Discovery -- Incorporating Task-oriented Representation in Text Classification -- Music Playlist Recommendation with Long Short-Term Memory -- Online Collaborative Filtering with Implicit Feedback -- Subspace Ensemble-based Neighbor User Searching for Neighborhood-based Collaborative Filtering -- Towards Both Local and Global Query Result Diversification -- Social Network -- Structured Spectral Clustering of PurTree Data -- Dynamic stochastic block model with scale-free characteristic for temporal complex networks -- In Good Company: Efficient Retrieval of the Top-k Most Relevant Event-Partner Pairs -- Local Experts Finding across Multiple Social Networks -- SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding -- User Intention-based Document Summarization on Heterogeneous Sentence Networks -- Spatial -- A Hierarchical Index Structure for Region-aware Spatial Keyword Search with Edit Distance Constraint -- Collective POI Querying Based on Multiple Keywords and User Preference -- DPSCAN: Structural Graph Clustering Based on Density Peaks -- Efficient Processing of Spatial Group Preference Queries -- Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems -- Top-k Spatio-Topic Query on Social Media Data -- Spatio-temporal -- A Frequency-aware Spatio-Temporal Network for Traffic Flow Prediction -- Efficient Algorithms for Solving Aggregate Keyword Routing Problems -- Perceiving Topic Bubbles: Local Topic Detection in Spatio-temporal Tweet Stream -- Real-Time Route Planning and Online Order Dispatch for Bus-Booking Platforms -- STL: Online Detection of Taxi Trajectory Anomaly based on Spatial-Temporal Laws. 330 $aThis two-volume set LNCS 11446 and LNCS 11447 constitutes the refereed proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 92 full papers and 64 short papers were carefully selected from a total of 501 submissions. In addition, 13 demo papers and 6 tutorial papers are included. The full papers are organized in the following topics: big data; clustering and classification; crowdsourcing; data integration; embedding; graphs; knowledge graph; machine learning; privacy and graph; recommendation; social network; spatial; and spatio-temporal. The short papers, demo papers, and tutorial papers can be found in the volume LNCS 11448, which also includes the workshops of DASFAA 2019. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11447 606 $aDatabase management 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aComputer networks 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Communication Networks 615 0$aDatabase management. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aComputer networks. 615 14$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Communication Networks. 676 $a005.74 676 $a005.74 702 $aLi$b Guoliang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYang$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGama$b Joao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJuggapong Natwichai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTong$b Yongxin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337561803321 996 $aDatabase Systems for Advanced Applications$9772450 997 $aUNINA