David R. McIlroy, Pagen Wettig, Jedidah Burton, Aimee Neylan, Benjamin French, Enjarn Lin, Stuart Hastings, Benedict J. F. Waldron, Mark R. Buckland, Paul S. Myles
{"title":"术前经胸超声心动图与术中经食道超声心动图在舒张功能障碍分级方面的一致性较差","authors":"David R. McIlroy, Pagen Wettig, Jedidah Burton, Aimee Neylan, Benjamin French, Enjarn Lin, Stuart Hastings, Benedict J. F. Waldron, Mark R. Buckland, Paul S. Myles","doi":"10.1213/ane.0000000000006734","DOIUrl":null,"url":null,"abstract":"tolic dysfunction is unknown. We assessed agreement between awake preoperative TTE and intraoperative TEE for grading diastolic dysfunction. METHODS: In 98 patients undergoing cardiac surgery, key Doppler measurements were obtained using TTE and TEE at the following time points: TTE before anesthesia induction (TTEawake), TTE following anesthesia induction (TTEanesth), and TEE following anesthesia induction (TEEanesth). The primary endpoint was grade of diastolic dysfunction categorized by a simplified algorithm, and measured by TTEawake and TEEanesth, for which the weighted κ statistic assessed observed agreement beyond chance. Secondary endpoints were peak early diastolic lateral mitral annular tissue velocity (e’lat) and the ratio of peak early diastolic mitral inflow velocity (E) to e’lat (E/e’lat), measured by TTEawake and TEEanesth, were compared using Bland-Altman limits of agreement. RESULTS: Disagreement in grading diastolic dysfunction by ≥1 grade occurred in 43 (54%) of 79 patients and by ≥2 grades in 8 (10%) patients with paired measurements for analysis, yielding a weighted κ of 0.35 (95% confidence interval [CI], 0.19–0.51) for the observed level of agreement beyond chance. Bland-Altman analysis of paired data for e’lat and E/e’lat demonstrated a mean difference (95% CI) of 0.51 (−0.06 to 1.09) and 0.70 (0.07–1.34), respectively, for measurements made by TTEawake compared to TEEanesth. The percentage (95% CI) of paired measurements for e’lat and E/e’lat that lay outside the [−2, +2] study-specified boundary of acceptable agreement was 36% (27%–48%) and 39% (29%–51%), respectively. Results were generally robust to sensitivity analyses, including comparing measurements between TTEawake and TTEanesth, between TTEanesth and TEEanesth, and after regrading diastolic dysfunction by the American Society of Echocardiography (ASE)/European Association of CardioVascular Imaging (EACVI) algorithm. CONCLUSIONS: There was poor agreement between TTEawake and TEEanesth for grading diastolic dysfunction by a simplified algorithm, with disagreement by ≥1 grade in 54% and by ≥2 grades in 10% of the evaluable cohort. Future studies, including comparing the prognostic utility of TTEawake and TEEanesth for clinically important adverse outcomes that may be a consequence of diastolic dysfunction, are needed to understand whether this disagreement reflects random variability in Doppler variables, misclassification by the changed technique and physiological conditions of intraoperative TEE, or the accurate detection of a clinically relevant change in diastolic dysfunction....","PeriodicalId":7799,"journal":{"name":"Anesthesia & Analgesia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poor Agreement Between Preoperative Transthoracic Echocardiography and Intraoperative Transesophageal Echocardiography for Grading Diastolic Dysfunction\",\"authors\":\"David R. McIlroy, Pagen Wettig, Jedidah Burton, Aimee Neylan, Benjamin French, Enjarn Lin, Stuart Hastings, Benedict J. F. Waldron, Mark R. Buckland, Paul S. Myles\",\"doi\":\"10.1213/ane.0000000000006734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"tolic dysfunction is unknown. We assessed agreement between awake preoperative TTE and intraoperative TEE for grading diastolic dysfunction. METHODS: In 98 patients undergoing cardiac surgery, key Doppler measurements were obtained using TTE and TEE at the following time points: TTE before anesthesia induction (TTEawake), TTE following anesthesia induction (TTEanesth), and TEE following anesthesia induction (TEEanesth). The primary endpoint was grade of diastolic dysfunction categorized by a simplified algorithm, and measured by TTEawake and TEEanesth, for which the weighted κ statistic assessed observed agreement beyond chance. Secondary endpoints were peak early diastolic lateral mitral annular tissue velocity (e’lat) and the ratio of peak early diastolic mitral inflow velocity (E) to e’lat (E/e’lat), measured by TTEawake and TEEanesth, were compared using Bland-Altman limits of agreement. RESULTS: Disagreement in grading diastolic dysfunction by ≥1 grade occurred in 43 (54%) of 79 patients and by ≥2 grades in 8 (10%) patients with paired measurements for analysis, yielding a weighted κ of 0.35 (95% confidence interval [CI], 0.19–0.51) for the observed level of agreement beyond chance. Bland-Altman analysis of paired data for e’lat and E/e’lat demonstrated a mean difference (95% CI) of 0.51 (−0.06 to 1.09) and 0.70 (0.07–1.34), respectively, for measurements made by TTEawake compared to TEEanesth. The percentage (95% CI) of paired measurements for e’lat and E/e’lat that lay outside the [−2, +2] study-specified boundary of acceptable agreement was 36% (27%–48%) and 39% (29%–51%), respectively. Results were generally robust to sensitivity analyses, including comparing measurements between TTEawake and TTEanesth, between TTEanesth and TEEanesth, and after regrading diastolic dysfunction by the American Society of Echocardiography (ASE)/European Association of CardioVascular Imaging (EACVI) algorithm. CONCLUSIONS: There was poor agreement between TTEawake and TEEanesth for grading diastolic dysfunction by a simplified algorithm, with disagreement by ≥1 grade in 54% and by ≥2 grades in 10% of the evaluable cohort. Future studies, including comparing the prognostic utility of TTEawake and TEEanesth for clinically important adverse outcomes that may be a consequence of diastolic dysfunction, are needed to understand whether this disagreement reflects random variability in Doppler variables, misclassification by the changed technique and physiological conditions of intraoperative TEE, or the accurate detection of a clinically relevant change in diastolic dysfunction....\",\"PeriodicalId\":7799,\"journal\":{\"name\":\"Anesthesia & Analgesia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anesthesia & Analgesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1213/ane.0000000000006734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesia & Analgesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1213/ane.0000000000006734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poor Agreement Between Preoperative Transthoracic Echocardiography and Intraoperative Transesophageal Echocardiography for Grading Diastolic Dysfunction
tolic dysfunction is unknown. We assessed agreement between awake preoperative TTE and intraoperative TEE for grading diastolic dysfunction. METHODS: In 98 patients undergoing cardiac surgery, key Doppler measurements were obtained using TTE and TEE at the following time points: TTE before anesthesia induction (TTEawake), TTE following anesthesia induction (TTEanesth), and TEE following anesthesia induction (TEEanesth). The primary endpoint was grade of diastolic dysfunction categorized by a simplified algorithm, and measured by TTEawake and TEEanesth, for which the weighted κ statistic assessed observed agreement beyond chance. Secondary endpoints were peak early diastolic lateral mitral annular tissue velocity (e’lat) and the ratio of peak early diastolic mitral inflow velocity (E) to e’lat (E/e’lat), measured by TTEawake and TEEanesth, were compared using Bland-Altman limits of agreement. RESULTS: Disagreement in grading diastolic dysfunction by ≥1 grade occurred in 43 (54%) of 79 patients and by ≥2 grades in 8 (10%) patients with paired measurements for analysis, yielding a weighted κ of 0.35 (95% confidence interval [CI], 0.19–0.51) for the observed level of agreement beyond chance. Bland-Altman analysis of paired data for e’lat and E/e’lat demonstrated a mean difference (95% CI) of 0.51 (−0.06 to 1.09) and 0.70 (0.07–1.34), respectively, for measurements made by TTEawake compared to TEEanesth. The percentage (95% CI) of paired measurements for e’lat and E/e’lat that lay outside the [−2, +2] study-specified boundary of acceptable agreement was 36% (27%–48%) and 39% (29%–51%), respectively. Results were generally robust to sensitivity analyses, including comparing measurements between TTEawake and TTEanesth, between TTEanesth and TEEanesth, and after regrading diastolic dysfunction by the American Society of Echocardiography (ASE)/European Association of CardioVascular Imaging (EACVI) algorithm. CONCLUSIONS: There was poor agreement between TTEawake and TEEanesth for grading diastolic dysfunction by a simplified algorithm, with disagreement by ≥1 grade in 54% and by ≥2 grades in 10% of the evaluable cohort. Future studies, including comparing the prognostic utility of TTEawake and TEEanesth for clinically important adverse outcomes that may be a consequence of diastolic dysfunction, are needed to understand whether this disagreement reflects random variability in Doppler variables, misclassification by the changed technique and physiological conditions of intraoperative TEE, or the accurate detection of a clinically relevant change in diastolic dysfunction....