Mixed models: an essential tool for non-independent data analysis

Carnero-Alcázar, Manuel; Montero-Cruces, Lourdes; Maroto-Castellanos, Luis C.

doi:10.1093/ejcts/ezac462

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Survival analysis, a staple in biomedical research [17], was conducted to investigate the relationship between potential mitochondrial core genes identified through PPI analysis and the prognosis of sepsis patients. Public dataset GSE65682, submitted by Scicluna BP et al in 2015 and comprising gene data related to over 479 sepsis patients and their 28-day prognosis, was retrieved from the GEO database (https://www.ncbi.nlm.nih.gov/ geo/) [18].…”

Section: Survival Analysismentioning

confidence: 99%

Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches

Li,

Jiang

et al. 2024

BMC Med Genomics

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Background Sepsis ranks among the most formidable clinical challenges, characterized by exorbitant treatment costs and substantial demands on healthcare resources. Mitochondrial dysfunction emerges as a pivotal risk factor in the pathogenesis of sepsis, underscoring the imperative to identify mitochondrial-related biomarkers. Such biomarkers are crucial for enhancing the accuracy of sepsis diagnostics and prognostication. Methods In this study, adhering to the SEPSIS 3.0 criteria, we collected peripheral blood within 24 h of admission from 20 sepsis patients at the ICU of the Southwest Medical University Affiliated Hospital and 10 healthy volunteers as a control group for RNA-seq. The RNA-seq data were utilized to identify differentially expressed RNAs. Concurrently, mitochondrial-associated genes (MiAGs) were retrieved from the MitoCarta3.0 database. The differentially expressed genes were intersected with MiAGs. The intersected genes were then subjected to GO (Gene Ontology), and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses and core genes were filtered using the PPI (Protein-Protein Interaction) network. Subsequently, relevant sepsis datasets (GSE65682, GSE28750, GSE54514, GSE67652, GSE69528, GSE95233) were downloaded from the GEO (Gene Expression Omnibus) database to perform bioinformatic validation of these core genes. Survival analysis was conducted to assess the prognostic value of the core genes, while ROC (Receiver Operating Characteristic) curves determined their diagnostic value, and a meta-analysis confirmed the accuracy of the RNA-seq data. Finally, we collected 5 blood samples (2 normal controls (NC); 2 sepsis; 1 SIRS (Systemic Inflammatory Response Syndrome), and used single-cell sequencing to assess the expression levels of the core genes in the different blood cell types. Results Integrating high-throughput sequencing with bioinformatics, this study identified two mitochondrial genes (COX7B, NDUFA4) closely linked with sepsis prognosis. Survival analysis demonstrated that patients with lower expression levels of COX7B and NDUFA4 exhibited a higher day survival rate over 28 days, inversely correlating with sepsis mortality. ROC curves highlighted the significant sensitivity and specificity of both genes, with AUC values of 0.985 for COX7B and 0.988 for NDUFA4, respectively. Meta-analysis indicated significant overexpression of COX7B and NDUFA4 in the sepsis group in contrast to the normal group (P < 0.01). Additionally, single-cell RNA sequencing revealed predominant expression of these core genes in monocytes-macrophages, T cells, and B cells. Conclusion The mitochondrial-associated genes (MiAGs) COX7B and NDUFA4 are intimately linked with the prognosis of sepsis, offering potential guidance for research into the mechanisms underlying sepsis.

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Section: Survival Analysismentioning

confidence: 99%

Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches

Li,

Jiang

et al. 2024

BMC Med Genomics

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“…Različite studije su pokazale da kompleksna koronarna arterijska bolest, procenjena pomoću sintaks skora, predviđa lošije ishode kod pacijenata podvrgnutih hirurškoj revaskularizaciji sa disfunkcijom leve komore ili operaciji na kucajućem srcu, odnosno off-pump operaciji, ali ova istraživanja, sprovedena među specifičnim podgrupama pacijenata, nisu uzela u obzir kombinovane anatomske i kliničke faktore [19][20][21][22] . Zbog toga su Girasis i saradnici razvili precizniji alat za stratifikaciju rizika kod pacijenata podvrgnutih perkutanoj koronarnoj intervenciji, integrišući sintaks skor sa modelom kliničkog bodovanja na osnovu starosti, klirensa kreatinina i ejekcione frakcije leve komore, poznat kao ACEF skor, koji je nazvan klinički sintaks skor.…”

Section: Uvodunclassified

Significance of serum uric acid level and syntax score in long-term survival of cardiac surgery patients: Uric acid in cardiac surgery patients

Čumić,

Karan,

Cvijić

et al. 2023

Serb J Anest Inten Therapy

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Introduction: The connection between serum uric acid (SUA) and the occurrence of cardiovascular diseases has long been known. Despite the SYNTAX score emerging as useful for risk identification and stratification in the clinical practice of interventional cardiology, it has not been proven useful in cardiac surgical clinical practice. The aim of the paper is to examine the significance of SUA levels, the significance of the SYNTAX score and the Clinical SYNTAX score in predicting the long-term survival of cardiac surgery patients. Methods: A retrospective analysis of 160 cardiac surgery patients operated on between 2013 and 2014 was conducted. SUA, SYNTAX and clinical SYNTAX score was measured. In the follow-up period of 3 years, clinical outcomes of patients were tracked. Results: The average SYNTAX score was 25.2 ± 11.4, the average Clinical SYNTAX score was 26.9 ± 8.3. The average preoperative SUA level was 361 ± 94.1 mg/ dL. No statistically significant difference was found in the values of the ejection fraction, end-diastolic and end-systolic dimensions of the left ventricle in relation to the treatment outcome in the long-term follow-up (p > 0.05). Preoperative left atrial diameter was significantly higher in deceased patients (p = 0.013). No statistically significant difference was found in the average values of the syntax score in relation to the treatment outcome in the long-term follow-up (p = 0.388), while a statistically significant difference was found in the values of the clinical SYNTAX score (p = 0.029). A statistically significant difference was found in the preoperative values of SUA in relation to the postoperative occurrence of adverse cardiovascular events (p = 0.035). Conclusion: Significant predictors of mortality in the long-term follow-up of cardiac surgery patients were left atrial diameter and clinical SYNTAX score. Predictors of adverse cardiovascular outcomes were left atrial diameter, clinical SYNTAX score and preoperative serum uric acid level.

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Effects of auditory and tactile distraction in adults with low and high ADHD symptoms

Elbe,

Marsja,

Sörman

et al. 2024

Journal of Cognitive Psychology

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Mixed models: an essential tool for non-independent data analysis

Cited by 3 publications

References 6 publications

Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches

Identification of sepsis-associated mitochondrial genes through RNA and single-cell sequencing approaches

Significance of serum uric acid level and syntax score in long-term survival of cardiac surgery patients: Uric acid in cardiac surgery patients

Effects of auditory and tactile distraction in adults with low and high ADHD symptoms

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