Anna K. Barker MD, PhD , Emily A. Harlan MD , Meeta Prasad Kerlin MD, MSCE , Thomas S. Valley MD , Michael W. Sjoding MD
{"title":"参与练习变异性在俯卧位起始中的作用","authors":"Anna K. Barker MD, PhD , Emily A. Harlan MD , Meeta Prasad Kerlin MD, MSCE , Thomas S. Valley MD , Michael W. Sjoding MD","doi":"10.1016/j.chstcc.2025.100158","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown.</div></div><div><h3>Research Question</h3><div>Does significant variability in prone positioning rates exist among attending physicians?</div></div><div><h3>Study Design and Methods</h3><div>This is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio of ≤ 150 with F<span>io</span><sub>2</sub> of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H<sub>2</sub>O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio, and vasopressor use) and ICU location (medical or surgical).</div></div><div><h3>Results</h3><div>Among 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio.</div></div><div><h3>Interpretation</h3><div>Our results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates.</div></div>","PeriodicalId":93934,"journal":{"name":"CHEST critical care","volume":"3 3","pages":"Article 100158"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of Attending Practice Variability in Prone Positioning Initiation\",\"authors\":\"Anna K. Barker MD, PhD , Emily A. Harlan MD , Meeta Prasad Kerlin MD, MSCE , Thomas S. Valley MD , Michael W. Sjoding MD\",\"doi\":\"10.1016/j.chstcc.2025.100158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown.</div></div><div><h3>Research Question</h3><div>Does significant variability in prone positioning rates exist among attending physicians?</div></div><div><h3>Study Design and Methods</h3><div>This is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio of ≤ 150 with F<span>io</span><sub>2</sub> of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H<sub>2</sub>O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio, and vasopressor use) and ICU location (medical or surgical).</div></div><div><h3>Results</h3><div>Among 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pa<span>o</span><sub>2</sub> to F<span>io</span><sub>2</sub> ratio.</div></div><div><h3>Interpretation</h3><div>Our results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates.</div></div>\",\"PeriodicalId\":93934,\"journal\":{\"name\":\"CHEST critical care\",\"volume\":\"3 3\",\"pages\":\"Article 100158\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CHEST critical care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949788425000310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHEST critical care","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949788425000310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Role of Attending Practice Variability in Prone Positioning Initiation
Background
Prone positioning is underused, despite mortality benefits. Prior studies highlight that patient-independent factors may influence prone positioning rates, but attending-specific contributions are unknown.
Research Question
Does significant variability in prone positioning rates exist among attending physicians?
Study Design and Methods
This is a retrospective cohort study of 514 adults receiving mechanical ventilation in a tertiary-care medical or surgical ICU from January 1, 2015, through June 30, 2024. Inclusion criteria included Pao2 to Fio2 ratio of ≤ 150 with Fio2 of ≥ 60% and positive end-expiratory pressure of ≥ 5 cm H2O within 0 to 36 hours and 36 to 72 hours of intubation. The primary outcome was prone positioning within 72 hours of intubation or 24 hours of meeting prone positioning criteria. We hypothesized that attending variability was a significant predictor of prone positioning. We fit a mixed-effects logistic regression model to evaluate attending-level variability in prone positioning use, adjusting for 6 potential patient-centered prone positioning barriers and facilitators (age, BMI, COVID-19 status, code status, Pao2 to Fio2 ratio, and vasopressor use) and ICU location (medical or surgical).
Results
Among 514 patients eligible for prone positioning, 87 patients (17%) underwent prone positioning. Significant attending-level variability in prone positioning was noted among the 48 attendings included in the analysis, with risk- and reliability-adjusted rates ranging from 14.9% to 74.2% and a median OR among attending physicians of 2.6 (95% CI, 1.7-5.2). This effect size was associated more strongly with prone positioning than a 30-mm Hg decrease in Pao2 to Fio2 ratio. Even among patients with clinical documentation of ARDS on the day of prone positioning eligibility, the median OR among attending physicians was 2.4 (95% CI, 1.5-7.3). Additional patient factors predicting prone positioning included COVID-19 status, code status, and Pao2 to Fio2 ratio.
Interpretation
Our results show that large variation in prone positioning practices exists among attending providers, and future work should consider attending-focused and system-wide interventions as potential novel targets to improve prone positioning rates.