Association between pre-anesthetic subclavian vein collapsibility index and post induction hypotension in patients undergoing elective surgical procedures; An observational study
{"title":"Association between pre-anesthetic subclavian vein collapsibility index and post induction hypotension in patients undergoing elective surgical procedures; An observational study","authors":"Abhishek Ahirwar, Anju R. Bhalotra, Rahil Singh, Snigdha Singh, Shweta Dhiman","doi":"10.1016/j.pcorm.2025.100512","DOIUrl":null,"url":null,"abstract":"<div><h3>Study objective</h3><div>To study associations between the pre-anesthetic subclavian vein collapsibility index (SCV-CI) during tidal and deep breathing and post induction hypotension (PIH).</div></div><div><h3>Design</h3><div>Observational cross-sectional study.</div></div><div><h3>Intervention</h3><div>Pre induction SCV USG.</div></div><div><h3>Measurements</h3><div>Minimum and maximum diameters of the SCV during tidal and deep breathing were measured and SCV-CI was calculated. Post induction hypotension (PIH) was defined as a fall in MAP>30 % of baseline or MAP <65 mmHg.</div></div><div><h3>Results</h3><div>Data of 74 patients was analyzed. After induction of GA, 31 patients (41.9 %) developed PIH. The baseline MAP and SCV-CI (deep) were higher in patients who developed PIH as compared to those who did not (<em>p</em> < 0.01, <em>p</em> = 0.03 respectively). The unadjusted odds ratios for predicting PIH suggested that baseline MAP, SCV-CI (deep), and maximum SCV diameter (deep) were significantly higher in patients who developed PIH (<em>p</em> = 0.01, <em>p</em> = 0.03 and <em>p</em> = 0.04)respectively. However, after multivariate logistic regression analysis, only the baseline MAP and SCV-CI (deep) remained significant independent predictors of PIH (<em>p</em> = 0.02 each). An ROC curve using the SCV-CI (deep) for prediction of PIH revealed an AUC of 0.64 (95 % CI: 0.51–0.77). The best cut off using Youden index was 29.44. There was a 61.29 % sensitivity, 67.44 % specificity, a 57.58 % positive predictive value and a 70.73 % negative predictive value.</div></div><div><h3>Conclusion</h3><div>The baseline MAP and SCV -CI (deep) were identified as significant predictors of PIH. However, ROC curve analysis demonstrated that SCV-CI (deep) had only limited diagnostic accuracy, indicating its poor clinical utility as a standalone predictor of PIH.</div></div>","PeriodicalId":53468,"journal":{"name":"Perioperative Care and Operating Room Management","volume":"40 ","pages":"Article 100512"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Perioperative Care and Operating Room Management","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405603025000536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
Abstract
Study objective
To study associations between the pre-anesthetic subclavian vein collapsibility index (SCV-CI) during tidal and deep breathing and post induction hypotension (PIH).
Design
Observational cross-sectional study.
Intervention
Pre induction SCV USG.
Measurements
Minimum and maximum diameters of the SCV during tidal and deep breathing were measured and SCV-CI was calculated. Post induction hypotension (PIH) was defined as a fall in MAP>30 % of baseline or MAP <65 mmHg.
Results
Data of 74 patients was analyzed. After induction of GA, 31 patients (41.9 %) developed PIH. The baseline MAP and SCV-CI (deep) were higher in patients who developed PIH as compared to those who did not (p < 0.01, p = 0.03 respectively). The unadjusted odds ratios for predicting PIH suggested that baseline MAP, SCV-CI (deep), and maximum SCV diameter (deep) were significantly higher in patients who developed PIH (p = 0.01, p = 0.03 and p = 0.04)respectively. However, after multivariate logistic regression analysis, only the baseline MAP and SCV-CI (deep) remained significant independent predictors of PIH (p = 0.02 each). An ROC curve using the SCV-CI (deep) for prediction of PIH revealed an AUC of 0.64 (95 % CI: 0.51–0.77). The best cut off using Youden index was 29.44. There was a 61.29 % sensitivity, 67.44 % specificity, a 57.58 % positive predictive value and a 70.73 % negative predictive value.
Conclusion
The baseline MAP and SCV -CI (deep) were identified as significant predictors of PIH. However, ROC curve analysis demonstrated that SCV-CI (deep) had only limited diagnostic accuracy, indicating its poor clinical utility as a standalone predictor of PIH.
期刊介绍:
The objective of this new online journal is to serve as a multidisciplinary, peer-reviewed source of information related to the administrative, economic, operational, safety, and quality aspects of the ambulatory and in-patient operating room and interventional procedural processes. The journal will provide high-quality information and research findings on operational and system-based approaches to ensure safe, coordinated, and high-value periprocedural care. With the current focus on value in health care it is essential that there is a venue for researchers to publish articles on quality improvement process initiatives, process flow modeling, information management, efficient design, cost improvement, use of novel technologies, and management.