Journals / Turkish Journal of Medical Sciences / 2021 / Cilt: 51 - Sayı: 1

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

Pages
134–139
Publication Date
2022-11-05
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This practical technique can be used routinely in all geriatric patient groups.Key words: Pleth Variability Index, geriatric assessment, hypotension

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Background/aim: Anesthesia-induced hypotension may have negative consequences in geriatric patients.
📊
Key Findings & Data: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.
💡
Conclusion & Impact:This practical technique can be used routinely in all geriatric patient groups.Key words: Pleth Variability Index, geriatric assessment, hypotension
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

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.Key words: Pleth Variability Index, geriatric assessment, hypotension

🔖

Cite This Article

YÜKSEK, A. (2022). Utility of the Pleth Variability Index in predicting anesthesia-induced hypotension in geriatric patients. Turkish Journal of Medical Sciences, Cilt: 51 - Sayı: 1, 134–139. https://ajindex.com/articles/609362

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (2)

  1. Silverstein JH. The practice of geriatric anesthesia. In: Silverstein JH, Rooke GA, Reves JG, McLeskey CH (editors). Geriatric Anesthesiology. 2nd ed. New York, NY, USA: Springer; 2008. pp. 3-14
  2. Senthuran S, Nagaratnam N. Geriatric anaesthesia. In: Nagaratnam N, Nagaratnam K, Cheuk G (editors). Advanced Age Geriatric Care. Cham, Switzerland: Springer; 2018. pp. 63- 67. doi:10.1007/978-3-319-96998-5_9 3. Phillips AT, Deiner S, Mo Lin H, Andreopoulos E, Silverstein J et al. Propofol use in the elderly population: prevalence of overdose and association with 30-day mortality. Clinical Therapeutics 2015; 1; 37 (12): 2676-2685. doi:10.1016/j. clinthera.2015.10.005 4. Monk TG, Bronsert MR, Henderson WG, Mangione MP, SumPing ST et al. Association between intraoperative hypotension and hypertension and 30-day postoperative mortality in noncardiac surgery. Anesthesiology 2015; 123 (2): 307-319. doi: 10.1097/ALN.0000000000000756 5. Forget P, Lois F, De Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesthesia and Analgesia 2010; 111 (4): 910- 914. doi: 10.1213/ANE. 0b013e3181eb624f 6. Nilsson LM. Respiration signals from photoplethysmography. Anesthesia and Analgesia 2013; 117 (4): 859-865. doi: 10.1213/ ANE.0b013e31828098b2 7. Canneson M, Desebbe O, Rosamel P, Delannoy B, Robin J et al. Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. British Journal of Anaesthesia 2008; 101.2: 200-206. doi: 10.1093/bja/ aen133 8. Tsuchiya M, Yamada T, Asada A. Pleth variability index predicts hypotension during anesthesia induction. Acta Anaesthesiologica Scandinavica 2010; 54 (5): 596-602. doi: 10.1111/j.1399-6576.2010.02225.x 9. Sun S, Huang SQ. Role of pleth variability index for predicting hypotension after spinal anesthesia for cesarean section. International Journal of Obstetric Anesthesia 2014; 23 (4): 324- 329. doi: 10.1016/j.ijoa.2014.05.011 10. Kuwata S, Suehiro K, Juri T, Tsujimoto S, Mukai A et al. Pleth variability index can predict spinal anaesthesia-induced hypotension in patients undergoing caesarean delivery. Acta Anaesthesiol Scand 2018; 62 (1): 75-84. doi:10.1111/aas.13012 11. Loupec T, Nanadoumgar H, Frasca D, Petitpas F, Laksiri L et al. Pleth variability index predicts fluid responsiveness in critically ill patients. Crit