Assessment of fluid responsiveness using pulse pressure variation, stroke volume variation, plethysmographic variability index, central venous pressure, and inferior vena cava variation in patients undergoing mechanical ventilation: a systematic review and meta-analysis.

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Title: Assessment of fluid responsiveness using pulse pressure variation, stroke volume variation, plethysmographic variability index, central venous pressure, and inferior vena cava variation in patients undergoing mechanical ventilation: a systematic review and meta-analysis.
Authors: Chaves RCF; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil. chavesrcf@hotmail.com.; Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil. chavesrcf@hotmail.com.; Department of Pneumology, Instituto do Coração (INCOR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil. chavesrcf@hotmail.com.; MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. chavesrcf@hotmail.com.; Department of Critical Care Medicine and Anesthesiology, Hospital Israelita Albert Einstein, Avenida Albert Einstein, 627/701, 5° Floor, São Paulo, SP, 05651-901, Brazil. chavesrcf@hotmail.com., Barbas CSV; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.; Department of Pneumology, Instituto do Coração (INCOR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil., Queiroz VNF; Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.; Department of Anesthesiology, Takaoka Anestesia, São Paulo, SP, Brazil., Serpa Neto A; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.; Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Melbourne, VIC, Australia.; Department of Intensive Care, Melbourne Medical School, University of Melbourne, Austin Hospital, Melbourne, Australia., Deliberato RO; MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.; Translational Health Intelligence and Knowledge Lab, Department of Biostatistics, Health Informatics and Data Science, University of Cincinnati, Cincinnati, OH, USA.; Division of Biomedical Informatics, Cincinnati Children's Hospital, Cincinnati, OH, USA., Pereira AJ; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil., Timenetsky KT; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil., Silva Júnior JM; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil., Takaoka F; Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.; Department of Anesthesiology, Takaoka Anestesia, São Paulo, SP, Brazil., de Backer D; Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium., Celi LA; MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA., Corrêa TD; Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Source: Critical care (London, England) [Crit Care] 2024 Aug 31; Vol. 28 (1), pp. 289. Date of Electronic Publication: 2024 Aug 31.
Publication Type: Systematic Review; Journal Article; Meta-Analysis
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 9801902 Publication Model: Electronic Cited Medium: Internet ISSN: 1466-609X (Electronic) Linking ISSN: 13648535 NLM ISO Abbreviation: Crit Care Subsets: MEDLINE
Database: MEDLINE Ultimate
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