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Rybka M.M.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Diasamidze K.E.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Yudin G.V.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Chitorelidze M.A.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Goncharov A.A.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Mishin G.M.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Perioperative risk factors preventing early extubation after cardiac surgery. Part 1. Preoperative risk factors

Authors:

Rybka M.M., Diasamidze K.E., Yudin G.V., Chitorelidze M.A., Goncharov A.A., Mishin G.M.

More about the authors

Journal: Russian Journal of Anesthesiology and Reanimatology. 2026;(1): 7‑14

DOI: 10.17116/anaesthesiology20260117

Read: 748 times

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Table of contents

PERIOPERATIVE RISK FACTORS PREVENTING EARLY EXTUBATION AFTER CARDIAC SURGERY. PART 1. PREOPERATIVE RISK FACTORS
PERIOPERATIVE RISK FACTORS PREVENTING EARLY EXTUBATION AFTER CARDIAC SURGERY. PART 1. PREOPERATIVE RISK FACTORS

To cite this article:

Rybka MM, Diasamidze KE, Yudin GV, Chitorelidze MA, Goncharov AA, Mishin GM. Perioperative risk factors preventing early extubation after cardiac surgery. Part 1. Preoperative risk factors. Russian Journal of Anesthesiology and Reanimatology. 2026;(1):7‑14. (In Russ., In Engl.)
https://doi.org/10.17116/anaesthesiology20260117

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Использование инфографики авторами научных работ
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Abstract:

OBJECTIVE

To study preoperative risk factors affecting early extubation.

MATERIAL AND METHODS

A retrospective cohort study included 2254 patients over 18 years old who underwent open-heart surgery in 2019. To establish independent risk factors associated with ventilation time, we analyzed 96 perioperative parameters in 900 patients. In this article, we present analysis of 38 preoperative parameters.

RESULTS

Univariate and multivariate logistic regression was used to create a model characterizing preoperative period. This model was characterized by high predictive accuracy, sensitivity and specificity on test data set and internal validation data set. Independent risk factors associated with ventilation time and providing early extubation were identified. For each factor, regression coefficient was calculated to predict early extubation.

Conclsuion. Research of preoperative risk factors influencing ventilation time provided a personalized approach to each patient regarding individual risk and possibility of early extubation.

Keywords:

early extubation
risk factors
multivariate model
nomogram for predicting the probability of early extubation

Authors:

Rybka M.M.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Diasamidze K.E.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Yudin G.V.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Chitorelidze M.A.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Goncharov A.A.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Mishin G.M.

Bakoulev National Medical Research Center for Cardiovascular Surgery

Received:

28.05.2025

Accepted:

28.08.2025

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