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Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients

BACKGROUND/AIM: Anesthesia-induced hypotension may have negative consequences in geriatric patients. Therefore, predicting hypotension remains an important topic for anesthesiologists. Pleth Variability Index (PVI) measurement provides information about the fluid status and vascular tonus of patient...

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Autor principal: YÜKSEK, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Scientific and Technological Research Council of Turkey 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991892/
https://www.ncbi.nlm.nih.gov/pubmed/32892541
http://dx.doi.org/10.3906/sag-1912-132
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author YÜKSEK, Ahmet
author_facet YÜKSEK, Ahmet
author_sort YÜKSEK, Ahmet
collection PubMed
description BACKGROUND/AIM: Anesthesia-induced hypotension may have negative consequences in geriatric patients. Therefore, predicting hypotension remains an important topic for anesthesiologists. Pleth Variability Index (PVI) measurement provides information about the fluid status and vascular tonus of patients. In this study, the ability of the Pleth Variability Index to predict hypotension after general anesthesia induction was evaluated. MATERIALS AND METHODS: PVI values ​​obtained from pulse oximetry were recorded, in addition to preoperative standard anesthesia monitoring. The correlation between the PVI value and mean arterial pressure (MAP), systolic arterial blood pressure (SAP) changes, and the power of PVI values ​​to predict the incidence of hypotension after anesthesia induction (>20% MAP decrease) was tested. RESULTS: Eighty patients over 65 years of age who were operated under general anesthesia were included in the study. Hypotension was observed in 20 patients (25%). PVI values were mild and positively correlated with MAP changes (r = 0.195 and P = 0.041). According to receiver operating characteristic (ROC) analysis, the incidence of hypotension increased in patients with PVI values above 15.45%. We also found the following diagnostic results for PVI value for predicting hypotension: P = 0.044 and area under the ROC curve of 0.651 ± 0.073 (95% confidence interval (CI): 0.507–0.794), 40% sensitivity, 80% specificity, a PPV of 40%, an NPV of 80%, a cut-off value of 15.45, a positive likelihood ratio of 2, a negative likelihood ratio of 0.75, and a Youden Index of 0.2. CONCLUSION: Predicting hypotension in geriatric patients is an important issue for anesthesiologists. As an easily applicable test, the Pleth Variability Index is useful in predicting MAP reduction in patients. This practical technique can be used routinely in all geriatric patient groups.
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spelling pubmed-79918922021-03-30 Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients YÜKSEK, Ahmet Turk J Med Sci Article BACKGROUND/AIM: Anesthesia-induced hypotension may have negative consequences in geriatric patients. Therefore, predicting hypotension remains an important topic for anesthesiologists. Pleth Variability Index (PVI) measurement provides information about the fluid status and vascular tonus of patients. In this study, the ability of the Pleth Variability Index to predict hypotension after general anesthesia induction was evaluated. MATERIALS AND METHODS: PVI values ​​obtained from pulse oximetry were recorded, in addition to preoperative standard anesthesia monitoring. The correlation between the PVI value and mean arterial pressure (MAP), systolic arterial blood pressure (SAP) changes, and the power of PVI values ​​to predict the incidence of hypotension after anesthesia induction (>20% MAP decrease) was tested. RESULTS: Eighty patients over 65 years of age who were operated under general anesthesia were included in the study. Hypotension was observed in 20 patients (25%). PVI values were mild and positively correlated with MAP changes (r = 0.195 and P = 0.041). According to receiver operating characteristic (ROC) analysis, the incidence of hypotension increased in patients with PVI values above 15.45%. We also found the following diagnostic results for PVI value for predicting hypotension: P = 0.044 and area under the ROC curve of 0.651 ± 0.073 (95% confidence interval (CI): 0.507–0.794), 40% sensitivity, 80% specificity, a PPV of 40%, an NPV of 80%, a cut-off value of 15.45, a positive likelihood ratio of 2, a negative likelihood ratio of 0.75, and a Youden Index of 0.2. CONCLUSION: Predicting hypotension in geriatric patients is an important issue for anesthesiologists. As an easily applicable test, the Pleth Variability Index is useful in predicting MAP reduction in patients. This practical technique can be used routinely in all geriatric patient groups. The Scientific and Technological Research Council of Turkey 2021-02-26 /pmc/articles/PMC7991892/ /pubmed/32892541 http://dx.doi.org/10.3906/sag-1912-132 Text en Copyright © 2021 The Author(s) This article is distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Article
YÜKSEK, Ahmet
Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title_full Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title_fullStr Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title_full_unstemmed Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title_short Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients
title_sort utility of the pleth variability index in predicting anesthesia-induced hypotension in geriatric patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7991892/
https://www.ncbi.nlm.nih.gov/pubmed/32892541
http://dx.doi.org/10.3906/sag-1912-132
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