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Vol. 39 Issue 4，2024

Research Articles

Duration of Hypothermia is Associated with Postoperative Complications in Patients Undergoing Gynecological Surgery: A Prospective Cohort Study AI Introduction

Su-Mei Wang, Li-Jian Pei, Yue-Lun Zhang, Jie Yi

Vol. 39, Issue 4, Pages: 233-240(2024) DOI: 10.24920/004419

Abstract：ObjectiveTo investigate the relationship between hypothermia duration and postoperative complications in patients undergoing gynecological surgery.MethodsPatients who underwent elective gynecological surgery at our hospital were consecutively enrolled between October 2020 and January 2022. Core temperature was continuously monitored intraoperatively, and early postoperative complications were collected. By adjusting the logistic regression model for potential confounding factors, the association of postoperative complications with the duration of hypothermia, the lowest body temperature below 36°‍C, and the hypothermia upon admission to postanesthesia care unit (PACU) or intensive care unit (ICU) were analyzed. Additionally, the potential inflection point in the relationship between the duration of hypothermia and the risk of postoperative complications was explored by using cumulative probability scatter plots and moving average sequences.ResultsThe study included 370 patients, with 193 (52.2%) experiencing hypothermia and 177 (47.8%) not. Among them, 92 (24.9%) developed complications. The duration of hypothermia (adjusted odds ratio [OR] for each one-minute increase: 1.003; 95% confidence interval [CI]: 1.000-1.006, P=0.047) and hypothermia upon admission to PACU or ICU (adjusted OR: 1.980; 95% CI: 1.135-3.454, P=0.016) were associated with early postoperative complications. Notably, the cumulative incidence of postoperative complications tended to rise as the duration of hypothermia increased, with a potential inflection point observed at 120 minutes.ConclusionsIn gynecological surgery, the duration of hypothermia as well as hypothermia upon admission to PACU or ICU are associated with postoperative complications. Minimizing the duration of hypothermia may be clinically beneficial.
Keywords：hypothermia;postoperative complications;gynecological surgery

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Research Articles

Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma AI Introduction

Peng-Fei Li, Xin Lu, Yu-Qian Zhou, Ke Wang, Peng Yang, Xiong-Hui Chen, Feng Xu

Vol. 39, Issue 4, Pages: 241-248(2024) DOI: 10.24920/004411

Abstract：ObjectiveVenous thromboembolism is a highly prevalent condition after polytrauma, and recognized as an important factor contributing to poor prognosis. The aim of this study was to investigate the risk factors for lower extremity deep venous thrombosis (LEDVT) in a severely traumatized population and to evaluate their predictive value for LEDVT.MethodsThis was a retrospective, single-center observational study. All subjects were severely traumatized patients who were admitted to the Traumatic Intensive Care Unit from January 2021 to May 2024. Based on Doppler ultrasound findings of both lower extremities from the time of injury to 30 days post-injury, patients who developed LEDVT were enrolled in the LEDVT group, and those who did not develop LEDVT were enrolled in the NLEDVT group. Demographic, clinical, and laboratory data were collected upon admission. Multivariable logistic regression analysis was performed to identify risk factors for LEDVT. Receiver operating characteristic (ROC) curve was used to evaluate the overall fit of the final model.ResultsThere were 56 patients enrolled in the LEDVT group and 81 patients in the NLEDVT group.Age, Aggregate Index of Systemic Inflammation (AISI), Systemic Inflammation Response Index (SIRI), ICU length of stay, and albumin were identified as independent risk factors for LEDVT (all P < 0.05). The area under their ROC curves were 0.604, 0.657, 0.694, 0.668, and 0.405, respectively. Combined model for early clinical prediction of LEDVT in severely traumatized patients by age, SIRI, AISI, and albumin resulted in an area under the ROC curve of 0.805 (95%CI: 0.73-0.88, SE = 0.037).ConclusionThe combination of age, SIRI, AISI, and albumin has a predictive value for LEDVT in severely traumatized patients.
Keywords：severe trauma;Systemtic Immune Inflammation Index;Aggregate Index of Systemic Inflammation;Systemic Inflammation Response Index;lower extremity deep venous thrombosis

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Updated：2025-01-09
Research Articles

Medication Rules of Hub Herb Pairs for Insomnia and Mechanism of Action: Results of Data Mining, Network Pharmacology, and Molecular Docking AI Introduction

Wen-Long Guo, Hui-Juan Jiang, Yan-Rong Li, Jin-Long Yang, Yu-Chan Chen

Vol. 39, Issue 4, Pages: 249-260(2024) DOI: 10.24920/004384

Abstract：ObjectiveTo explore the medication rules of traditional Chinese medicine (TCM) and mechanism of action of hub herb pairs for treating insomnia.MethodsTotally 104 prescriptions were statistically analyzed. The association rule algorithm was applied to mine the hub herb pairs. Network pharmacology was utilized to analyze the mechanism of the hub herb pairs, while molecular docking was applied to simulate the interaction between receptors and herb molecules, thereby predicting their binding affinities.ResultsThe most frequently used herbs in TCM prescriptions for treating insomnia included Semen Ziziphi Spinosae, Radix Glycyrrhizae, Radix et Rhizoma Ginseng, and Poria cum Radix Pini. Among them, the most commonly used were the supplementing herbs, followed by heat-clearing, mind-calming, and exterior-releasing ones, with their properties of warm and cold, flavors of sweet, Pungent, and bitter, and meridian tropisms of liver, lungs, spleen, kidneys, heart, and stomach. The hub herb pairs based on the association rules included Radix Astragali-Radix et Rhizoma Ginseng, Rhizoma Chuanxiong-Radix Glycyrrhizae, Seman Platycladi-Semen Ziziphi Spinosae, Pericarpium Citri Reticulatae-Radix Glycyrrhizae, Radix Polygalae-Semen Ziziphi Spinosae, and Radix Astragali-Semen Ziziphi Spinosae. Network pharmacology revealed that the cAMP signaling pathway might play a key role in treating insomnia synergistically with HIF-1 signaling pathway, prolactin signaling pathway, chemical carcinogenesis receptor activation, and PI3K-Akt signaling pathway. Molecular docking indicated that there was good binding between the active ingredients of the hub herb pairs and the hub targets.ConclusionsThis study identified six hub herb pairs for treating insomnia in TCM. These hub herb pairs may synergistically treat insomnia with HIF-1 signaling pathway, prolactin signaling pathway, chemical carcinogenesis receptor activation, and PI3K-Akt signaling pathway through the cAMP signaling pathway.
Keywords：medication rules;mechanism;insomnia;data mining;herb pairs;network pharmacology;molecular docking

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Research Articles

A Novel Signature Combing Cuproptosis- and Ferroptosis-Related Genes in Nonalcoholic Fatty Liver Disease Enhanced Publication AI Introduction

Rou-Rou Fang, Qi-Fan Yang, Jing Zhao, Shou-Zhu Xu

Vol. 39, Issue 4, Pages: 261-272(2024) DOI: 10.24920/004403

Abstract：ObjectiveTo identify cuproptosis- and ferroptosis-related genes involved in nonalcoholic fatty liver disease and to determine the diagnostic value of hub genes.MethodsThe gene expression dataset GSE89632 was retrieved from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the non-alcoholic steatohepatitis (NASH) group and the healthy group using the 'limma' package in R software and weighted gene co-expression network analysis. Gene ontology, kyoto encyclopedia of genes and genomes pathway, and single-sample gene set enrichment analyses were performed to identify functional enrichment of DEGs. Ferroptosis- and cuproptosis-related genes were obtained from the FerrDb V2 database and available literatures, respectively. A combined signature for cuproptosis- and ferroptosis-related genes, called CRF, was constructed using the STRING database. Hub genes were identified by overlapping DEGs, WGCNA-derived key genes, and combined signature CRF genes, and validated using the GSE109836 and GSE227714 datasets and real-time quantitative polymerase chain reaction. A nomogram of NASH diagnostic model was established utilizing the 'rms' package in R software based on the hub genes, and the diagnostic value of hub genes was assessed using receiver operating characteristic curve analysis. In addition, immune cell infiltration in NASH versus healthy controls was examined using the CIBERSORT algorithm. The relationships among various infiltrated immune cells were explored with Spearman's correlation analysis.ResultsAnalysis of GSE89632 identified 236 DEGs between the NASH group and the healthy group. WGCNA highlighted 8 significant modules and 11,095 pivotal genes, of which 330 genes constituted CRF. Intersection analysis identified IL6, IL1B, JUN, NR4A1, and PTGS2 as hub genes. The hub genes were all downregulated in the NASH group, and this result was further verified by the NASH validation dataset and real-time quantitative polymerase chain reaction. Receiver operating characteristic curve analysis confirmed the diagnostic efficacy of these hub genes with areas under the curve of 0.985, 0.941, 1.000, 0.967, and 0.985, respectively. Immune infiltration assessment revealed that gamma delta T cells, M1 macrophages, M2 macrophages, and resting mast cells were predominantly implicated.ConclusionOur investigation underscores the significant association of cuproptosis- and ferroptosis-related genes, specifically IL6, IL1B, JUN, NR4A1, and PTGS2, with NASH. These findings offer novel insights into the pathogenesis of NASH, potentially guiding future diagnostic and therapeutic strategies.
Keywords：nonalcoholic fatty liver disease;cuproptosis;ferroptosis;bioinformatics analysis

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