Successful therapy of endotoxin shock and multiple organ dysfunction using sequential targeted extracorporeal treatment in a patient after combined cardiac surgery

Бабаев, М А; Eremenko, Alexsandr A.; Grin, O.O.; Кострица, Н С; Дымова, О. В.; Белобородова, Н. В.; Pautova, Alisa; Zakharenkova, Yu.S.; Levitskya, M.V.

doi:10.33029/2308-1198-2020-8-2-105-114

Cited by 2 publications

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“…In the group of patients with complications, the median value of the difference of the sum of three AMMs (∆ 1-0) was more than two times higher than this level in the group without complications (p = 0.001), which can be used for monitoring and prognosis of complications in the future. It is noteworthy that 6 h after the surgery, the sum of three AMMs in patients with infectious complications (n = 26) was within 4.3 (3.0-5.7) µmol/L and did not reach high values (up to 10 µmol/L or more), as, for example, it was reported in patients with sepsis [20,34]. Moreover, all patients survived, and the average duration of stay of patients in the intensive care unit was 1 day for patients without complications in comparison with 4 days for patients with all types of complications (p < 0.001).…”

Section: Discussionmentioning

confidence: 80%

Microbiota Metabolism Failure as a Risk Factor for Postoperative Complications after Aortic Prosthetics

et al. 2023

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Postoperative complications in cardiovascular surgery remain an important unresolved problem, in particular in patients with aortic aneurysm. The role of the altered microbiota in such patients is of great interest. The aim of this pilot study was to determine whether the development of postoperative complications in patients with aortic aneurysm is related with initial or acquired disorders of microbiota metabolism by monitoring the level of some aromatic microbial metabolites (AMMs) circulating in the blood before the surgery and in the early postoperative period. The study comprised patients with aortic aneurysm (n = 79), including patients without complications (n = 36) and patients with all types of complications (n = 43). The serum samples from the patients were collected before and 6 h after the end of the surgery. The most significant results were obtained for the sum of three sepsis-associated AMMs. This level was higher before the surgery in comparison with that of healthy volunteers (n = 48), p < 0.001, and it was also higher in the early postoperative period in patients with all types of complications compared to those without complications, p = 0.001; the area under the ROC curve, the cut-off value, and the odds ratio were 0.7; 2.9 µmol/L, and 5.5, respectively. Impaired microbiota metabolism is important in the development of complications after complex reconstructive aortic surgery, which is the basis for the search for a new prevention strategy.

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Section: Discussionmentioning

confidence: 80%

Microbiota Metabolism Failure as a Risk Factor for Postoperative Complications after Aortic Prosthetics

et al. 2023

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“…Experimental studies demonstrated their pathophysiological role in sepsis development [ 11 ]. Clinical studies revealed their diagnostic significance in sepsis and septic shock caused by various pathologies [ 12 , 13 ], such as community-acquired pneumonia [ 14 ], acute surgical diseases of the abdominal organs [ 15 ], acute or chronic (end stage) renal failure [ 16 ], postoperative cardiosurgical complications [ 17 ], and post-neurosurgical meningitis [ 18 ]. There are positive correlations between the sepsis-associated aromatic metabolites phenyllactic, p -hydroxyphenylacetic, and p -hydroxyphenyllactic ( p -HPhLA) acids and the clinical scales (SOFA and APACHE II), serum lactate, and procalcitonin [ 11 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Multivariate Prognostic Model for Predicting the Outcome of Critically Ill Patients Using the Aromatic Metabolites Detected by Gas Chromatography-Mass Spectrometry

et al. 2022

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A number of aromatic metabolites of tyrosine and phenylalanine have been investigated as new perspective markers of infectious complications in the critically ill patients of intensive care units (ICUs). The goal of our research was to build a multivariate model for predicting the outcome of critically ill patients regardless of the main pathology on the day of admission to the ICU. Eight aromatic metabolites were detected in serum using gas chromatography-mass spectrometry. The samples were obtained from the critically ill patients (n = 79), including survivors (n = 44) and non-survivors (n = 35), and healthy volunteers (n = 52). The concentrations of aromatic metabolites were statistically different in the critically ill patients and healthy volunteers. A univariate model for predicting the outcome of the critically ill patients was based on 3-(4-hydroxyphenyl)lactic acid (p-HPhLA). Two multivariate classification models were built based on aromatic metabolites using SIMCA method. The predictive models were compared with the clinical APACHE II scale using ROC analysis. For all of the predictive models the areas under the ROC curve were close to one. The aromatic metabolites (one or a number of them) can be used in clinical practice for the prognosis of the outcome of critically ill patients on the day of admission to the ICU.

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Successful therapy of endotoxin shock and multiple organ dysfunction using sequential targeted extracorporeal treatment in a patient after combined cardiac surgery

Cited by 2 publications

References 0 publications

Microbiota Metabolism Failure as a Risk Factor for Postoperative Complications after Aortic Prosthetics

Microbiota Metabolism Failure as a Risk Factor for Postoperative Complications after Aortic Prosthetics

Multivariate Prognostic Model for Predicting the Outcome of Critically Ill Patients Using the Aromatic Metabolites Detected by Gas Chromatography-Mass Spectrometry

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