Decision Making in Anesthesiology: An Algorithmic Approach

Idioma: inglés

Editorial: Jaypee Brothers Medical Publishers, 2020

9351529452 / 9789351529453

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Librería: Vedams eBooks (P) Ltd, New Delhi, IndiaVedams eBooks (P) Ltd

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Contents: 1. Principles of Anesthesia/Travis D Wilson. 2. Preanesthesia assessment/Brooke G Harden. 3. Preoperative problems: Pulmonary and Thoracic Disorders/Leah E Gross. 4. Preoperative Cardiovascular Problems/Leah E Gross. 5.Preoperative Neurologic and Neuromuscular Problems/Luis Llamas. 6. Preoperative Endocrine problems/Brooke G Harden. 7. Preoperative gastrointestinal problems/Brooke G Harden. 8. Preoperative hematologic functions/Andrea L King. 9. Preoperative renal problems/Baker A Mitchell III. 10. Other preoperative problems/Paulina Cardenas. 11. Specialty anesthesia and cardiothoracic and vascular anesthesia/Michael B Little. 12. Neuroanesthesia/Luis Llamas. 13. Pediatric Anesthesia/Nancy G Hoover. 14. Obstetric and Gynecologic Anesthesia/Deena R Liles. 15. Anesthesia for General Suregery/Baker A Mitchell III. 16. Urologic Anesthesia/Baker A Mitchell III. 17. Anesthesia and Transplantation/Justin W Wilson. 18. Anesthesia for Endoscopy and head and neck surgery/Travis D Wilson. 19. Ophthalmologic Anesthesia/Julia Bustamante. 20. Anesthesia for spinal and Orthopedic procedures/Maxim S Eckmann. 21. Trauma anesthesia/Garrett Starling. 22. Remote locations/Garrett Starling. 23. Postoperative management/David Clanton. 24. Perioperative emergencies/Steven G Venticinque. 25. Administrative issues/Benjamin J Wallisch. Index. The purpose of Decision Making in Anesthesiology: An Algorithmic Approach, 5th Edition, is to present the process of anesthetic management during the perioperative period in a decision tree format. This format encourages the reader to think systematically and to follow a logical sequence through preoperative evaluation and preparation, intraoperative management, and postoperative considerations. The goal is to construct decision trees that are easy to follow, demonstrate decision points clearly, and are simple but not simplistic. The comments are keyed to designated decision points for further information, supported by references. This format, employed consistently throughout the prior four editions, continues to be most interesting to reformulate and in some cases reorganize clinical knowledge and experiences in order to construct these algorithms. Key Features: This textbook has been fully updated and expanded to provide anesthesiology practitioners and anesthesiologists in training with answers for nearly 250 anesthetic management problems. For each chapter, a step-by-step decision-making algorithm is included along with explanatory text and supplemental tables. All the chapters are thoroughly revised, and the editors have completely reconceptualized the entire edition, deleting many chapters, reorganizing the content into 25 sections, and adding topics to reflect the state-of-the-art in contemporary anesthesiology practice. General principles in anesthesia care are discussed along with detailed examinations of preoperative problems, an in-depth look at anesthesia in surgical specialty areas and postoperative management, perioperative management, and administrative issues. Each chapter is authored by faculty members from leading US medical schools.…

N° de ref. del artículo 132262

Título
Decision Making in Anesthesiology: An Algorithmic Approach
Autor
Lois L Bready, Susan H Noorily and Rosemary Hickey
Editorial
Jaypee Brothers Medical Publishers
Año de publicación
2020
Estado
New
Encuadernación
Soft cover
Idioma
inglés
ISBN 10
9351529452
ISBN 13
9789351529453
Edición
5th or later Edition

Vedams eBooks (P) Ltd

New Delhi, India

Vendedor de 4 estrellas

Vendedor de IberLibro desde 30 de enero de 2009

Tarifas de envío de India a Estados Unidos de America

ArtículoDe 20 a 24 días hábilesDe 4 a 7 días hábiles
Primer artículoEUR 17,50EUR 32,00
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