cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28541084
title: Intraoperative hemodynamics in prediction of postoperative kidney injury after type a aortic dissection surgery: a retrospective cohort study

description: Type A aortic dissection (TAAD) is a severe cardiovascular condition associated with high risks for postoperative complications, particularly renal dysfunction. This study investigated whether intraoperative hypotension and venous congestion are important predictors of postoperative kidney injury and major adverse events. We retrospectively analyzed 543 adults undergoing TAAD surgery (2016–2023). Primary outcomes were acute kidney injury (AKI) and acute kidney disease (AKD). Secondary outcomes included death, stroke and composite outcome. Patients were divided into four groups: AKI only, AKD only, AKI and AKD, Non-AKI or AKD. We used restricted cubic spline and multivariate logistic regression models to adjust for confounding factors. AKI or AKD was significantly associated with each 10-minute epoch of central venous pressure (CVP) ≥10, 12, 16, 20 mmHg (all <i>p</i> &lt; 0.001), with each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg area under the curve (AUC) (all p &lt; 0.001). Regarding death, a 6% to 13% increase rate for each 10-minute epoch of CVP ≥10, 12, 16, 20 mmHg (all <i>p</i> ≤ 0.003), a 5% to 21% increase for each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg AUC (all <i>p</i> &lt; 0.001). In terms of stroke risk, a 5% increase rate for every 10-minute increase in the CVP AUC above 16 mmHg, and an 11% increased risk for CVP AUC above 20 mmHg (<i>p</i> = 0.039 and <i>p</i> = 0.031, respectively). Elevated CVP and lower MAP levels were linked to postoperative AKI and AKD risk. CVP showed stronger associations with mortality and stroke. Optimizing perioperative hemodynamic management may improve individualized interventions. Acute kidney injury and acute kidney disease are common and serious complications after Type A aortic dissection surgery.This observational cohort study showed that both intraoperative venous congestion and hypotension are associated with acute kidney injury and acute kidney disease. In addition intraoperative venous congestion displayed a direct correlation with postoperative outcomes such as death and stroke. Acute kidney injury and acute kidney disease are common and serious complications after Type A aortic dissection surgery. This observational cohort study showed that both intraoperative venous congestion and hypotension are associated with acute kidney injury and acute kidney disease. In addition intraoperative venous congestion displayed a direct correlation with postoperative outcomes such as death and stroke.
DOI: 10.6084/m9.figshare.28541084.v1
title: Intraoperative hemodynamics in prediction of postoperative kidney injury after type a aortic dissection surgery: a retrospective cohort study

description: Type A aortic dissection (TAAD) is a severe cardiovascular condition associated with high risks for postoperative complications, particularly renal dysfunction. This study investigated whether intraoperative hypotension and venous congestion are important predictors of postoperative kidney injury and major adverse events. We retrospectively analyzed 543 adults undergoing TAAD surgery (2016–2023). Primary outcomes were acute kidney injury (AKI) and acute kidney disease (AKD). Secondary outcomes included death, stroke and composite outcome. Patients were divided into four groups: AKI only, AKD only, AKI and AKD, Non-AKI or AKD. We used restricted cubic spline and multivariate logistic regression models to adjust for confounding factors. AKI or AKD was significantly associated with each 10-minute epoch of central venous pressure (CVP) ≥10, 12, 16, 20 mmHg (all <i>p</i> &lt; 0.001), with each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg area under the curve (AUC) (all p &lt; 0.001). Regarding death, a 6% to 13% increase rate for each 10-minute epoch of CVP ≥10, 12, 16, 20 mmHg (all <i>p</i> ≤ 0.003), a 5% to 21% increase for each 60-minute epoch of CVP ≥10, 12, 16, 20 mmHg AUC (all <i>p</i> &lt; 0.001). In terms of stroke risk, a 5% increase rate for every 10-minute increase in the CVP AUC above 16 mmHg, and an 11% increased risk for CVP AUC above 20 mmHg (<i>p</i> = 0.039 and <i>p</i> = 0.031, respectively). Elevated CVP and lower MAP levels were linked to postoperative AKI and AKD risk. CVP showed stronger associations with mortality and stroke. Optimizing perioperative hemodynamic management may improve individualized interventions. Acute kidney injury and acute kidney disease are common and serious complications after Type A aortic dissection surgery.This observational cohort study showed that both intraoperative venous congestion and hypotension are associated with acute kidney injury and acute kidney disease. In addition intraoperative venous congestion displayed a direct correlation with postoperative outcomes such as death and stroke. Acute kidney injury and acute kidney disease are common and serious complications after Type A aortic dissection surgery. This observational cohort study showed that both intraoperative venous congestion and hypotension are associated with acute kidney injury and acute kidney disease. In addition intraoperative venous congestion displayed a direct correlation with postoperative outcomes such as death and stroke.
DOI: 10.6084/m9.figshare.30844583
title: Sleep fragmentation exacerbates myocardial ischemia-reperfusion injury via hypothalamic paraventricular nucleus-resident OX1R-mediated sympathetic hyperactivity in adult mice

description: Sleep fragmentation (SF) is a prevalent sleep disorder with an increased risk of cardiovascular diseases. Although epidemiological studies have shown a strong link between SF and adverse cardiac outcomes, specific central neural mechanisms through which SF exacerbates myocardial ischemia-reperfusion injury (MI/RI) are unclear. This study investigated the role of orexin receptor 1 (OX1R) in the hypothalamic paraventricular nucleus (PVN) in SF-induced aggravation of MI/RI and the underlying mechanism using a mouse model. C57BL/6 mice were subjected to chronic SF for 16 weeks before MI/RI modeling. Cardiac function was assessed by echocardiography. Sympathetic activity was evaluated based on the heart rate variability analysis. Molecular changes were evaluated by western blotting, qRT-PCR, and immunohistochemistry. The <i>in vivo</i> functional role of OX1R signaling was determined by administering OX1R-specific antagonist SB-334867 <i>via</i> stereotaxic injection into the PVN in the experimental groups of mice. SF mice exhibited significantly worse cardiac dysfunction and larger infarct areas following MI/RI compared to the controls. This was accompanied by enhanced sympathetic nerve activity and elevated catecholamine levels. Specifically, SF upregulated OX1R expression in the PVN and increased the levels of neuronal activation markers such as c-Fos. Pharmacological blockade of OX1R in the PVN significantly ameliorated SF-induced cardiac dysfunction, reduced the infarct size, and suppressed sympathetic hyperactivity post-MI/RI. SF may aggravate MI/RI through PVN OX1R-associated sympathetic hyperactivation. Pharmacological inhibition of OX1R improved cardiac outcomes, supporting the involvement of the PVN OX1R-sympathetic pathway in sleep disruption related cardiac injury. SF exacerbates MI/RI by upregulating OX1R in the hypothalamic paraventricular nucleus, leading to sympathetic hyperactivity and worsened cardiac outcomes.Selective blockade of OX1R in the hypothalamic paraventricular nucleus effectively attenuates SF–induced sympathetic overactivation and myocardial injury.Our findings implicate the PVN OX1R-sympathetic axis in the pathogenesis of SF-induced cardiac injury, providing a basis for future mechanistic research. SF exacerbates MI/RI by upregulating OX1R in the hypothalamic paraventricular nucleus, leading to sympathetic hyperactivity and worsened cardiac outcomes. Selective blockade of OX1R in the hypothalamic paraventricular nucleus effectively attenuates SF–induced sympathetic overactivation and myocardial injury. Our findings implicate the PVN OX1R-sympathetic axis in the pathogenesis of SF-induced cardiac injury, providing a basis for future mechanistic research.
DOI: 10.6084/m9.figshare.30844583.v1
title: Sleep fragmentation exacerbates myocardial ischemia-reperfusion injury via hypothalamic paraventricular nucleus-resident OX1R-mediated sympathetic hyperactivity in adult mice

description: Sleep fragmentation (SF) is a prevalent sleep disorder with an increased risk of cardiovascular diseases. Although epidemiological studies have shown a strong link between SF and adverse cardiac outcomes, specific central neural mechanisms through which SF exacerbates myocardial ischemia-reperfusion injury (MI/RI) are unclear. This study investigated the role of orexin receptor 1 (OX1R) in the hypothalamic paraventricular nucleus (PVN) in SF-induced aggravation of MI/RI and the underlying mechanism using a mouse model. C57BL/6 mice were subjected to chronic SF for 16 weeks before MI/RI modeling. Cardiac function was assessed by echocardiography. Sympathetic activity was evaluated based on the heart rate variability analysis. Molecular changes were evaluated by western blotting, qRT-PCR, and immunohistochemistry. The <i>in vivo</i> functional role of OX1R signaling was determined by administering OX1R-specific antagonist SB-334867 <i>via</i> stereotaxic injection into the PVN in the experimental groups of mice. SF mice exhibited significantly worse cardiac dysfunction and larger infarct areas following MI/RI compared to the controls. This was accompanied by enhanced sympathetic nerve activity and elevated catecholamine levels. Specifically, SF upregulated OX1R expression in the PVN and increased the levels of neuronal activation markers such as c-Fos. Pharmacological blockade of OX1R in the PVN significantly ameliorated SF-induced cardiac dysfunction, reduced the infarct size, and suppressed sympathetic hyperactivity post-MI/RI. SF may aggravate MI/RI through PVN OX1R-associated sympathetic hyperactivation. Pharmacological inhibition of OX1R improved cardiac outcomes, supporting the involvement of the PVN OX1R-sympathetic pathway in sleep disruption related cardiac injury. SF exacerbates MI/RI by upregulating OX1R in the hypothalamic paraventricular nucleus, leading to sympathetic hyperactivity and worsened cardiac outcomes.Selective blockade of OX1R in the hypothalamic paraventricular nucleus effectively attenuates SF–induced sympathetic overactivation and myocardial injury.Our findings implicate the PVN OX1R-sympathetic axis in the pathogenesis of SF-induced cardiac injury, providing a basis for future mechanistic research. SF exacerbates MI/RI by upregulating OX1R in the hypothalamic paraventricular nucleus, leading to sympathetic hyperactivity and worsened cardiac outcomes. Selective blockade of OX1R in the hypothalamic paraventricular nucleus effectively attenuates SF–induced sympathetic overactivation and myocardial injury. Our findings implicate the PVN OX1R-sympathetic axis in the pathogenesis of SF-induced cardiac injury, providing a basis for future mechanistic research.
DOI: 10.6084/m9.figshare.29245871
title: Icaritin and lenvatinib treatment for unresectable localized progressive pancreatic cancer: a report of six cases

description: Pancreatic cancer is very difficult to detect in its early stages, and its rapid progression and poor prognosis make it a significant therapeutic challenge. Existing treatment modalities, whether standalone or combined, offer limited efficacy, highlighting an urgent need for more effective and less toxic therapeutic strategies. We analyze six cases of pancreatic cancer, each undergoing a novel treatment regimen integrating chemotherapy, targeted therapy, immune therapy, and icaritin. The outcomes demonstrate varying degrees of improvement in all cases. Partial responses were observed in cases 1 and 3, with some tumor shrinkage. Cases 4 and 5 showed limited relief following a slight decrease in tumor size. In cases 2 and 6, no significant progression of the lesion was observed. These results highlight the potential efficacy of this multifaceted approach. Integrating icaritin with chemotherapy, immunotherapy, and/or targeted therapies shows potential as an exploratory approach in managing advanced, locally progressive, or metastatic pancreatic cancer, though further validation is required.
DOI: 10.6084/m9.figshare.29245871.v1
title: Icaritin and lenvatinib treatment for unresectable localized progressive pancreatic cancer: a report of six cases

description: Pancreatic cancer is very difficult to detect in its early stages, and its rapid progression and poor prognosis make it a significant therapeutic challenge. Existing treatment modalities, whether standalone or combined, offer limited efficacy, highlighting an urgent need for more effective and less toxic therapeutic strategies. We analyze six cases of pancreatic cancer, each undergoing a novel treatment regimen integrating chemotherapy, targeted therapy, immune therapy, and icaritin. The outcomes demonstrate varying degrees of improvement in all cases. Partial responses were observed in cases 1 and 3, with some tumor shrinkage. Cases 4 and 5 showed limited relief following a slight decrease in tumor size. In cases 2 and 6, no significant progression of the lesion was observed. These results highlight the potential efficacy of this multifaceted approach. Integrating icaritin with chemotherapy, immunotherapy, and/or targeted therapies shows potential as an exploratory approach in managing advanced, locally progressive, or metastatic pancreatic cancer, though further validation is required.
DOI: 10.6084/m9.figshare.28563720
title: Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China

description: This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM). This is a secondary analysis of a previous random clinical trial aiming to evaluate the preventive effects of PrEP on new HIV infection in MSM. During 2013–2015, 1455 HIV-negative MSM were enrolled. Participants were divided into treatment group and control group and regularly followed up until they seroconverted to HIV positive or until the 2-year endpoint reached. Five machine-learning approaches were applied to predict the risk of HIV infection. Model performance was evaluated using Harrel’s C-index and area under the receiver operator characteristic curve (AUC) and validated in an external validation cohort. To explain this model, shapley additive explanation (SHAP) values were calculated and visualized. During the observation period, 102 MSM developed HIV infection. Thirteen parameters are selected to construct the model. The random survival forest model showed the best performance in the validation cohort, with a C-index of 0.7013, and could significantly categorize MSM into three groups. Our model indicated that MSM with younger age, receptive anal intercourse, and multiple male sexual partners had an increased risk of HIV infection, and those with higher AIDS knowledge scores had a lower risk. We presented a machine learning-based model to predict their risk of developing HIV infection. This model could be applied to recognize MSM who are at a higher risk of developing HIV infection.
DOI: 10.6084/m9.figshare.28563720.v1
title: Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China

description: This study aimed to construct a model based on machine learning to predict new HIV infections in HIV-negative men who have sex with men (MSM). This is a secondary analysis of a previous random clinical trial aiming to evaluate the preventive effects of PrEP on new HIV infection in MSM. During 2013–2015, 1455 HIV-negative MSM were enrolled. Participants were divided into treatment group and control group and regularly followed up until they seroconverted to HIV positive or until the 2-year endpoint reached. Five machine-learning approaches were applied to predict the risk of HIV infection. Model performance was evaluated using Harrel’s C-index and area under the receiver operator characteristic curve (AUC) and validated in an external validation cohort. To explain this model, shapley additive explanation (SHAP) values were calculated and visualized. During the observation period, 102 MSM developed HIV infection. Thirteen parameters are selected to construct the model. The random survival forest model showed the best performance in the validation cohort, with a C-index of 0.7013, and could significantly categorize MSM into three groups. Our model indicated that MSM with younger age, receptive anal intercourse, and multiple male sexual partners had an increased risk of HIV infection, and those with higher AIDS knowledge scores had a lower risk. We presented a machine learning-based model to predict their risk of developing HIV infection. This model could be applied to recognize MSM who are at a higher risk of developing HIV infection.
DOI: 10.6084/m9.figshare.28716072
title: Construction of a novel prognostic model based on lncRNAs-related to DNA damage repair for predicting the prognosis of clear cell renal cell carcinoma

description: CcRCC has the characteristics of high aggression, high metastasis, high mortality, wide tumour heterogeneity and variable clinical course. The purpose of this study was to explore the potential value of lncRNAs-related to DNA damage repair (DDR) in predicting the prognosis of ccRCC by construction and verification a novel prognostic model. RNA-seq data and clinical data of ccRCC were downloaded from public databases. Subsequently, Pearson correlation analysis and differential expression analysis were performed to identify DElncRNAs-related to DDR. Then, through univariate Cox analysis and LASSO analysis, the DElncRNAs-related to DDR associated with prognosis were screened for the construction of novel risk score prognostic model. In addition, functional annotation, tumour mutation burden, immune correlation and drug sensitivity analyses were performed based on risk score to assess the characteristics of patients in different risk score groups. Based on univariate Cox analysis and LASSO analysis, four best DElncRNAs-related to DDR were selected. Subsequently, a novel risk score prognostic model based on these four DElncRNAs was constructed through LASSO. Multivariate Cox analysis showed that risk score and age were independent prognostic factors for ccRCC (<i>p</i> &lt; 0.05). Functional enrichment analysis showed that DDR-related biological processes were mainly enriched in the high risk group. The highly mutated genes in the high and low risk groups were the same (VHL, PBRM1 and TTN), but they also had their own unique mutated genes. Pearson correlation analysis showed that the risk score was significantly (<i>p</i> &lt; 0.05) positively correlated with the infiltration degree of CD8 T cells evaluated by six algorithms. In addition, it was found that the high and low risk groups had different sensitivities to the drugs Etoposide, Imatinib, Sorafenib, Bosutinib and Sunitinib. A novel prognostic model was constructed based on four DElncRNAs-related to DDR. The model has satisfactory accuracy in predicting survival of ccRCC patients.
DOI: 10.6084/m9.figshare.28716072.v1
title: Construction of a novel prognostic model based on lncRNAs-related to DNA damage repair for predicting the prognosis of clear cell renal cell carcinoma

description: CcRCC has the characteristics of high aggression, high metastasis, high mortality, wide tumour heterogeneity and variable clinical course. The purpose of this study was to explore the potential value of lncRNAs-related to DNA damage repair (DDR) in predicting the prognosis of ccRCC by construction and verification a novel prognostic model. RNA-seq data and clinical data of ccRCC were downloaded from public databases. Subsequently, Pearson correlation analysis and differential expression analysis were performed to identify DElncRNAs-related to DDR. Then, through univariate Cox analysis and LASSO analysis, the DElncRNAs-related to DDR associated with prognosis were screened for the construction of novel risk score prognostic model. In addition, functional annotation, tumour mutation burden, immune correlation and drug sensitivity analyses were performed based on risk score to assess the characteristics of patients in different risk score groups. Based on univariate Cox analysis and LASSO analysis, four best DElncRNAs-related to DDR were selected. Subsequently, a novel risk score prognostic model based on these four DElncRNAs was constructed through LASSO. Multivariate Cox analysis showed that risk score and age were independent prognostic factors for ccRCC (<i>p</i> &lt; 0.05). Functional enrichment analysis showed that DDR-related biological processes were mainly enriched in the high risk group. The highly mutated genes in the high and low risk groups were the same (VHL, PBRM1 and TTN), but they also had their own unique mutated genes. Pearson correlation analysis showed that the risk score was significantly (<i>p</i> &lt; 0.05) positively correlated with the infiltration degree of CD8 T cells evaluated by six algorithms. In addition, it was found that the high and low risk groups had different sensitivities to the drugs Etoposide, Imatinib, Sorafenib, Bosutinib and Sunitinib. A novel prognostic model was constructed based on four DElncRNAs-related to DDR. The model has satisfactory accuracy in predicting survival of ccRCC patients.