Increased postoperative myeloperoxidase concentration associated with low baseline antioxidant capacity as the risk factor of delirium after cardiac surgery

Kaźmierski, Jakub; Miler, Piotr; Pawlak, Agnieszka; Jerczyńska, Hanna; Nowakowska, Karina; Walkiewicz, Grzegorz; Woźniak, Katarzyna; Krejca, Michał; Wilczyński, Mirosław

doi:10.1080/07853890.2022.2039405

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…Według polskich badaczy czynnikami predysponującymi do rozwoju POD są: podeszły wiek, objawy depresyjne, zaburzenia funkcjonowania, cukrzyca. Jako czynniki wyzwalające wskazali dłuższy czas krążenia pozaustrojowego i zwiększone pooperacyjne stężenie mieloperoksydazy [20,37,86,89,95]. Przypadki majaczenia występowały również w grupie chorych po operacjach kardiochirurgicznych, u których określono małe ryzyko tego powikłania.…”

Section: Dyskusjaunclassified

Delirium syndrome in the postoperative period

Cierzniakowska,

Popow,

Kozłowska

et al. 2023

pcia

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Section: Dyskusjaunclassified

Delirium syndrome in the postoperative period

Cierzniakowska,

Popow,

Kozłowska

et al. 2023

pcia

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“…Delirium syndrome may develop at any point of hospitalization; however, it is most frequently two to five days after surgery. Postoperative delirium substantially worsens patients’ prognosis and contributes to higher mortality rates [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery

Nowakowska,

Sakellarios,

Kaźmierski

et al. 2023

Diagnostics

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Several studies have demonstrated a critical association between cardiovascular disease (CVD) and mental health, revealing that approximately one-third of individuals with CVD also experience depression. This comorbidity significantly increases the risk of cardiac complications and mortality, a risk that persists regardless of traditional factors. Addressing this issue, our study pioneers a straightforward, explainable, and data-driven pipeline for predicting depression in CVD patients. Methods: Our study was conducted at a cardiac surgical intensive care unit. A total of 224 participants who were scheduled for elective coronary artery bypass graft surgery (CABG) were enrolled in the study. Prior to surgery, each patient underwent psychiatric evaluation to identify major depressive disorder (MDD) based on the DSM-5 criteria. An advanced data curation workflow was applied to eliminate outliers and inconsistencies and improve data quality. An explainable AI-empowered pipeline was developed, where sophisticated machine learning techniques, including the AdaBoost, random forest, and XGBoost algorithms, were trained and tested on the curated data based on a stratified cross-validation approach. Results: Our findings identified a significant correlation between the biomarker “sRAGE” and depression (r = 0.32, p = 0.038). Among the applied models, the random forest classifier demonstrated superior accuracy in predicting depression, with notable scores in accuracy (0.62), sensitivity (0.71), specificity (0.53), and area under the curve (0.67). Conclusions: This study provides compelling evidence that depression in CVD patients, particularly those with elevated “sRAGE” levels, can be predicted with a 62% accuracy rate. Our AI-driven approach offers a promising way for early identification and intervention, potentially revolutionizing care strategies in this vulnerable population.

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Efficacy of metamizole to prevent kidney injury after renal-ischaemic reperfusion injury in Wistar rats

Kadar,

Warli,

Ritarwan

et al. 2024

Annals of Medicine &Amp; Surgery

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Background: Renal ischemia-reperfusion injury (RIRI) is a common kidney procedure complication due to temporary blood flow interruption, leading to kidney injuries. This study aimed to analyze the effect of metamizole on the levels of IL-18, NGAL, Myeloperoxidase (MPO), and histopathological changes in rats with RIRI. Materials and Methods: Animal pre-clinical design study was used. Thirty-two male wistar rats (Rattus norvegicus) were divided into four groups: negative control, positive control, M100, and M200. Blood samples were collected by intracardiac puncture, followed by bilateral nephrectomy and analyzed histopathologically. Results: Significant difference in IL-18 levels between positive control vs negative control (114.1 + 12.07 vs 94.0 + 11.4; P = 0.019) and positive control vs M100 (114.1 + 12.07 vs 86.9 + 8.34; P = 0.007). There was no difference in NGAL. M100 group had the lowest serum MPO levels (14.78+2.01), there was a significant difference in MPO levels in all pairwise analyses. There was a difference in cumulative EGTI scores among the study groups (positive 10.5 (8 – 11) vs. negative 9 (7-10) vs. M100 9 (7 – 10) vs. M200 9 (7 – 11); P = 0.021) Conclusion: Metamizole 100 mg/kgBW can reduce IL-18 and MPO levels in RIRI, giving more optimal results without affecting NGAL levels. Metamizole administration can reduce cumulative EGTI scores in RIRI, both at doses of 100 mg/kgBW and 200 mg/kgBW. This study shows that Metamizole can be used to prevent kidney injury caused by RIRI. IL-18 and MPO can be biomarkers in predicting kidney injury in RIRI.

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Increased postoperative myeloperoxidase concentration associated with low baseline antioxidant capacity as the risk factor of delirium after cardiac surgery

Cited by 4 publications

References 31 publications

Delirium syndrome in the postoperative period

Delirium syndrome in the postoperative period

AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery

Efficacy of metamizole to prevent kidney injury after renal-ischaemic reperfusion injury in Wistar rats

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