Evidence map›Paper›PMID 41572170›Full record

ArticleBMC geriatrics2026

The role of echocardiographic volume parameters in predicting post-induction hypotension in geriatric patients under general anesthesia: a retrospective study.

Yiqiong Xu, Lei Tao, Yan Luo, Yuhao Zhang, Qian Guo, Jiashi Xu, Jian Li, Qianzi Yang, Weiguo Hu, Buwei Yu

Abstract read
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Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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1citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yiqiong XuDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Lei TaoDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Yan LuoDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Yuhao ZhangDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Qian GuoDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Jiashi XuDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Jian LiClinical research center, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Qianzi YangDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China.
Weiguo HuGeriatrics Center, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China. wghu@rjh.com.cn.
Buwei YuDepartment of Anesthesiology, Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, China. yubuwei_2013@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-induction hypotension (PIH), a common hemodynamic disturbance during anesthesia induction, is associated with increased postoperative complications, particularly in elderly patients. While the etiology of PIH is multifactorial and prediction remains challenging, preoperative transthoracic echocardiography (TTE) offers a quantitative assessment of cardiac structure and function. However, the predictive utility of preoperative TTE parameters specifically for PIH occurrence is not well established. Therefore, this study aimed to investigate the incidence of PIH in elderly patients undergoing urological surgery and the incremental predictive value of using preoperative TTE parameters to predict PIH.

methodsThis retrospective cohort study included geriatric patients aged 65 to 95 who underwent urological surgery under general anesthesia from December 2015 to July 2020. Patients were randomly assigned to training (n = 1100) and validation (n = 450) cohorts. The training cohort was further divided into non-PIH and PIH groups. Univariate and multivariate logistic regression analyses identified independent predictors of PIH, which were incorporated into a nomogram. Model performance was evaluated using receiver operating characteristic (ROC) curves, with discrimination assessed by the area under the curve (AUC). Calibration was evaluated by internal (training cohort) and external (validation cohort) validation.

resultsDemographic characteristics were comparable between the training and validation cohorts (p > 0.05). PIH occurred in the training cohort’s 37.4% (411/1100). Six independent predictors of PIH were identified. Three of them were continuous variables: decreased stroke volume (SV, OR: 0.976, 95%CI 0.965–0.986, p < 0.001), elevated pre-induction heart rate (aHR, OR: 1.016, 95% CI 1.004–1.027, p = 0.008), lower pre-induction systolic blood pressure (aSBP, OR: 0.973, 95%CI 0.966—0.980, p < 0.001); and three of them were categorical variables: operation type, operation position and anesthesia maintenance. Compared with transurethral surgery, the open surgery (OR: 2.522, 95%CI 1.065–5.970) has less PIH(p = 0.021). Compared with the supine position, the lithotomy position (OR: 0.581, 95%CI 0.408–0.827) had more PIH(p = 0.008). Compared with other maintenance anesthetics, the isoflurane group had more PIH(p = 0.032). The model demonstrated moderate discrimination, with an AUC of 0.701 (c-index 0.701) in the training cohort and 0.654 (c-index 0.669) in the validation cohort. Calibration plots showed good agreement between predicted and observed PIH probabilities in both cohorts.

conclusionsThis study identifies stroke volume (SV), a volumetric parameter derived from preoperative transthoracic echocardiography (TTE), as a novel and independent predictor of post-induction hypotension (PIH) in geriatric populations. Alongside established hemodynamic parameters [pre-induction heart rate (aHR) and systolic blood pressure (aSBP)] and procedure-related factors (operation style, operation position, and anesthetic maintenance), SV contributes to the prediction of PIH. These findings suggest that preoperative TTE assessment, particularly SV measurement, in combination with standard clinical parameters, may hold potential clinical significance for perioperative risk stratification in this population. Further investigation is warranted to explore the role of advanced hemodynamic indices in optimizing perioperative care for older adults.

Indexed as

Anesthesia, GeneralEchocardiographyHypotensionAgedAged, 80 and overCohort StudiesFemaleGeriatric AnesthesiaHumansMalePredictive Value of TestsRetrospective StudiesGeriatric patientsperioperativePost-induction hypotension (PIH)Risk predictionStroke Volume (SV)Transthoracic Echocardiography (TTE)

Identifiers

PMID41572170
PMCPMC12879373

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.