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Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients

OBJECTIVE: This study aimed to clarify the relevant risk factors of septic cardiomyopathy (SCM) in perioperative sepsis patients. METHODS: This retrospective study evaluated patients who were diagnosed with sepsis during the perioperative period and postoperatively admitted to the intensive care uni...

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Autores principales: Xin, Yuchang, Ge, Ying, Chang, Liuhui, Ni, Yong, Liu, Hairui, Zhu, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214999/
https://www.ncbi.nlm.nih.gov/pubmed/35733092
http://dx.doi.org/10.1186/s12871-022-01714-5
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author Xin, Yuchang
Ge, Ying
Chang, Liuhui
Ni, Yong
Liu, Hairui
Zhu, Jiang
author_facet Xin, Yuchang
Ge, Ying
Chang, Liuhui
Ni, Yong
Liu, Hairui
Zhu, Jiang
author_sort Xin, Yuchang
collection PubMed
description OBJECTIVE: This study aimed to clarify the relevant risk factors of septic cardiomyopathy (SCM) in perioperative sepsis patients. METHODS: This retrospective study evaluated patients who were diagnosed with sepsis during the perioperative period and postoperatively admitted to the intensive care unit (ICU) in the Second Affiliated Hospital of Soochow University, the First Affiliated Hospital of Soochow University, and the Suzhou Municipal Hospital between January 2017 and November 2020. They were divided into two groups as the septic cardiomyopathy group (SCM group) and the non-SCM group (NSCM group). Factors with P < 0.1 were compared between groups and were analyzed by multivariate logistic regression to screen the risk factors of sepsis cardiomyopathy. The area under the receiver operating characteristic (ROC) curve was used to verify the discriminative ability of multivariate logistic regression results. Hosmer-Lemeshow goodness of fit test was used to verify the calibration ability of multiple logistic regression results. RESULT: Among the 269 patients, 49 patients had SCM. Sequential Organ Failure Assessment (SOFA) score (adjusted odds ratio [AOR] = 2.535, 95% confidence interval (CI): 1.186-1.821, P = 0.000]) and endoscopic surgery (AOR = 3.154, 95% CI: 1.173-8.477, P = 0.023]) were identified to be independent risk factors for SCM. Patients with a SOFA score ≥ 7 had a 46.831-fold higher risk of SCM (AOR =46.831, 95% CI: 10.511-208.662, P < 0.05). The multivariate logistic regression results had good discriminative (area under the curve: 0.902 [95% CI: 0.852-0.953]) and calibration (c(2) = 4.401, P = 0.819) capabilities. The predictive accuracy was 86.2%. The rates of mechanical ventilation and tracheotomy were significantly higher in the SCM group than in the NSCM group (both P < 0.05). The SCM group also had a significantly longer duration of mechanical ventilation (P < 0.05) and significantly higher rates of continuous renal replacement therapy (CRRT) and CRRT-related mortality (P < 0.05). Further, the total length of stay and hospitalization cost were significantly higher in the SCM group than in the NSCM group (P < 0.05). CONCLUSION: Endoscopic surgery and SOFA score ≥ 7 during postoperative ICU admission were independent risk factors for SCM within 48 hours postoperatively in patients with perioperative sepsis.
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spelling pubmed-92149992022-06-23 Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients Xin, Yuchang Ge, Ying Chang, Liuhui Ni, Yong Liu, Hairui Zhu, Jiang BMC Anesthesiol Research OBJECTIVE: This study aimed to clarify the relevant risk factors of septic cardiomyopathy (SCM) in perioperative sepsis patients. METHODS: This retrospective study evaluated patients who were diagnosed with sepsis during the perioperative period and postoperatively admitted to the intensive care unit (ICU) in the Second Affiliated Hospital of Soochow University, the First Affiliated Hospital of Soochow University, and the Suzhou Municipal Hospital between January 2017 and November 2020. They were divided into two groups as the septic cardiomyopathy group (SCM group) and the non-SCM group (NSCM group). Factors with P < 0.1 were compared between groups and were analyzed by multivariate logistic regression to screen the risk factors of sepsis cardiomyopathy. The area under the receiver operating characteristic (ROC) curve was used to verify the discriminative ability of multivariate logistic regression results. Hosmer-Lemeshow goodness of fit test was used to verify the calibration ability of multiple logistic regression results. RESULT: Among the 269 patients, 49 patients had SCM. Sequential Organ Failure Assessment (SOFA) score (adjusted odds ratio [AOR] = 2.535, 95% confidence interval (CI): 1.186-1.821, P = 0.000]) and endoscopic surgery (AOR = 3.154, 95% CI: 1.173-8.477, P = 0.023]) were identified to be independent risk factors for SCM. Patients with a SOFA score ≥ 7 had a 46.831-fold higher risk of SCM (AOR =46.831, 95% CI: 10.511-208.662, P < 0.05). The multivariate logistic regression results had good discriminative (area under the curve: 0.902 [95% CI: 0.852-0.953]) and calibration (c(2) = 4.401, P = 0.819) capabilities. The predictive accuracy was 86.2%. The rates of mechanical ventilation and tracheotomy were significantly higher in the SCM group than in the NSCM group (both P < 0.05). The SCM group also had a significantly longer duration of mechanical ventilation (P < 0.05) and significantly higher rates of continuous renal replacement therapy (CRRT) and CRRT-related mortality (P < 0.05). Further, the total length of stay and hospitalization cost were significantly higher in the SCM group than in the NSCM group (P < 0.05). CONCLUSION: Endoscopic surgery and SOFA score ≥ 7 during postoperative ICU admission were independent risk factors for SCM within 48 hours postoperatively in patients with perioperative sepsis. BioMed Central 2022-06-22 /pmc/articles/PMC9214999/ /pubmed/35733092 http://dx.doi.org/10.1186/s12871-022-01714-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Xin, Yuchang
Ge, Ying
Chang, Liuhui
Ni, Yong
Liu, Hairui
Zhu, Jiang
Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title_full Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title_fullStr Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title_full_unstemmed Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title_short Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
title_sort risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214999/
https://www.ncbi.nlm.nih.gov/pubmed/35733092
http://dx.doi.org/10.1186/s12871-022-01714-5
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