Kaplan-Meier Survival Curve Analysis Research Articles

Transcription factor ASCL1 targets SLC6A13 to inhibit the progression of hepatocellular carcinoma via the glycine-inflammasome signaling.

The purpose of this research was to clarify the function of achaete-scute family bHLH transcription factor 1 (ASCL1) and solute carrier family 6 member 13 (SLC6A13) in influencing tumor cell behavior, inflammatory responses, and the regulation of inflammasomes. We analyzed the differentially expressed genes (DEGs) in the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) database, as well as in the GSE14520 and GSE67764 datasets, to identify the expression changes of SLC6A13 in liver cancer. The prognostic significance of SLC6A13 in LIHC was assessed through Kaplan-Meier survival curve analysis. Transcriptional regulation of SLC6A13 by ASCL1 was explored using the Joint Annotation of the Human Genome and other species by the Systematic Pipeline for the Annotation of Regulatory Regions (JASPAR) database and dual-luciferase assays. In vitro experiments investigated the impact of ASCL1 and SLC6A13 overexpression on hepatocellular carcinoma (HCC) cell growth. Additionally, the effects of ethanol treatment and glycine modulation on the inflammatory response in HCC cell lines were evaluated. HCC samples showed reduced levels of SLC6A13, which correlates with a better prognosis for liver metastases. Elevated SLC6A13 expression correlated with improved overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS), and disease-specific survival (DSS). ASCL1 upregulated SLC6A13 and inhibited proliferation, migration, and invasion of HCC cells. Ethanol induced the production of inflammatory cytokines, which was enhanced by overexpression of SLC6A13 but counteracted by glycine. This study highlighted elevated expression of SLC6A13 in LIHC which has been correlated with improved OS, PFS, RFS, and DSS. Overexpression of SLC6A13 and ASCL1 in HCC cells enhanced inflammasome activation, which was exacerbated by ethanol and attenuated by glycine.

The predictive value of free thyroxine combined with tubular atrophy/interstitial fibrosis for poor prognosis in patients with IgA nephropathy.

IgA nephropathy (IgAN), the most common type of glomerulonephritis, has great individual differences in prognosis. Many studies showed the relationship between thyroid hormones and chronic kidney disease. However, the relationship between free thyroxine (FT4), as a thyroid hormone, and IgAN is still unclear. This study aimed to evaluate the impact of FT4 on IgAN prognosis. This retrospective study involved 223 patients with biopsy-proven IgAN. The renal composite outcomes were defined as: (1) ESRD, defined as eGFR < 15 ml/(min·1.73 m2) or initiation of renal replacement therapy (hemodialysis, peritoneal dialysis, renal transplantation); (2) serum creatinine doubled from baseline; (3) eGFR decreased by more than 50% from baseline. The predictive value was determined by the area under the curve (AUC). Kaplan-Meier and Cox proportional hazards analyses assessed renal progression and prognosis. After 38 (26-54) months of follow-up, 23 patients (10.3%) experienced renal composite outcomes. Kaplan-Meier survival curve analysis showed that the renal survival rate of the IgAN patients with FT4<15.18pmol/L was lower than that with FT4≥15.18pmol/L (P < 0. 001). Multivariate Cox regression model analysis showed that FT4 was a protective factor for poor prognosis of IgAN patients, whether as a continuous variable or a categorical variable (HR 0.68, 95%CI 0.51-0.90, P =0.007; HR 0.04, 95%CI 0.01-0.20, P <0.001). ROC curve analysis showed that FT4 combined with t score had a high predictive value for poor prognosis of IgAN patients (AUC=0.881, P<0.001). FT4 was a protective factor for IgAN. In addition, FT4 combined with tubular atrophy/interstitial fibrosis had a high predictive value for poor prognosis of IgAN.

Exploring genes within the glutathione peroxidase family as potential predictors of prognosis in papillary renal cell carcinoma

Abstract Objectives This research aims to explore the relationship between glutathione peroxidase (GPX) expression variations in papillary renal cell carcinoma (pRCC) and patient survival, while also developing and evaluating a customized survival prediction model based on GPX. Methods The transcriptomic dataset, including clinical parameters and GPX expression levels, is sourced from The Cancer Genome Atlas (TCGA) database, comprising 290 individuals diagnosed with pRCC. We utilized a univariate Cox regression model to select differentially expressed genes. Subsequently, we calculated risk scores through the least absolute shrinkage and selection operator (LASSO) regression. Based on the median risk score, patients were categorized into high and low-risk groups, establishing a prognostic risk model. Following this, the relationship between the risk model and the survival of pRCC patients was revealed through Kaplan–Meier survival curve analysis. The sensitivity and specificity of the predictive model were evaluated using receiver operating characteristic (ROC) curve analysis. Furthermore, chemotherapy drug sensitivity analysis was conducted on patients in the high and low-risk groups. Results A risk-scoring model was built by selecting GPX7 and GPX8. Compared to the low-risk group, individuals in the high-risk category showed significantly reduced overall survival rates (p=0.018). Additionally, validation results demonstrated the model’s good predictive accuracy. Conclusions The risk-scoring model constructed based on GPX family genes provides an innovative biomarker for forecasting the prognosis of pRCC and serves as a reference for individualized therapy in pRCC.

Effect of Antacids on the Survival of Patients With Metastatic Urothelial Carcinoma Treated With Pembrolizumab

IntroductionConcomitant medications can affect the efficacy of immune checkpoint inhibitors. The association between histamine-2 receptor antagonists (H2RAs), major antacids similar to proton pump inhibitors (PPIs), and the efficacy of pembrolizumab for metastatic urothelial carcinoma (mUC) treatment has been poorly evaluated. We evaluated the impact of PPIs and H2RAs on oncological outcomes in mUC patients treated with pembrolizumab. Patients and MethodsThis retrospective multicenter study included patients with mUC treated with pembrolizumab. Patients prescribed PPIs or H2RAs within 30 days before and after the initial administration were extracted. The overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS), and objective response rates (ORR) were assessed. Kaplan–Meier survival curve analysis and multivariable Cox proportional hazard models were employed to assess the association between PPIs or H2RAs and survival outcomes. ResultsOverall, 404 patients were eligible for this study; 121 patients (29.9%) used PPIs, and 34 (8.4%) used H2RAs. Kaplan–Meier analysis showed significantly worse OS, CSS, and PFS in patients using PPIs compared to no PPIs (P = .010, .018, and .012, respectively). In multivariable analyses, the use of PPIs was a significant prognostic factor for worse OS (HR = 1.42, 95% CI 1.08-1.87, P = .011), CSS (HR = 1.45, 95% CI 1.09-1.93, P = .011), and PFS (HR = 1.35, 95% CI 1.05-1.73, P = .020). PPIs were not associated with ORRs. The use of H2RAs was not associated with survival or ORRs. ConclusionPPIs were significantly associated with worse survival of patients with mUC treated with pembrolizumab, and H2RAs could be an alternative during administration. Both the oncological and gastrointestinal implications should be carefully considered when switching these antacids.

Pathological variations and immune response in Channa argus infected with pathogenic Nocardia seriolae strain

Nocardia seriolae pathogen causes chronic granulomatous disease, reportedly affecting over 40 species of marine and freshwater cultured fish. Hence, research is required to address and eliminate this significant threat to the aquaculture industry. In this respect, a reliable and reproducible infection model needs to be established to better understand the biology of this pathogen and its interactions with the host during infection, as well as to develop new vaccines or other effective treatment methods. In this study, we examined the pathogenicity of the pathogen and the immune response of snakehead (Channa argus) juvenile to N. seriolae using a range of methods and analyses, including pathogen isolation and identification, histopathology, Kaplan-Meier survival curve analysis, and determination of the median lethal dose (LD50) and cytokine expression. We have preliminarily established a N. seriolae - C. argus model. According to our morphological and phylogenetic analysis data, the isolated strain was identified as N. seriolae and named NSE01. Eighteen days post-infection of healthy juvenile C. argus with N. seriolae NSE01, the mortality rate in all four experimental groups (intraperitoneally injected with 1 × 105 CFU/mL – 1 × 108 CFU/mL of bacterial suspension) (n = 120) was 100 %. The LD50 of N. seriolae NSE01 for juvenile C. argus was determined to be 1.13 × 106 CFU/fish. Infected juvenile C. argus had significant pathological changes, including visceral tissue swelling, hemorrhage, and the presence of numerous nodules of varying sizes in multiple tissues. Further histopathological examination revealed typical systemic granuloma formation. Additionally, following infection with N. seriolae NSE01, the gene expression of important cytokines, such as Toll-like receptor genes TLR2, TLR13, interleukin-1 receptor genes IL1R1, IL1R2, and interferon regulatory factor IRF2 were significantly upregulated in different tissues, indicating their potential involvement in the host immune response and regulation against N. seriolae. In conclusion, juvenile C. argus can serve as a suitable model for N. seriolae infection. The establishment of this animal model will facilitate the study of the pathogenesis of nocardiosis and the development of vaccines.

Factors Associated With Mortality During the First Year Post Infarction: Survival Analysis of Patients With Acute Myocardial Infarction in Colombia.

Cardiovascular diseases account for over 80% of global deaths. Risk factors and social determinants influence mortality in patients post acute myocardial infarction (AMI). To evaluate factors associated with post-AMI mortality during the one-year follow-up. The study is a prospective cohort study of adults aged 18 years and older with type 1 AMI conducted between October 2021 and January 2024. Intrahospital and outpatient information was collected. Statistical analyses included the Kaplan-Meier survival curve and Cox regression analysis. Proportional hazards and model predictive capacity were evaluated. A total of 1873 patients were included, with a 9.4% mortality rate in the first year. At one year, the estimated survival probability was 88.61% (95% CI: 86.82-90.18). Cox analysis identified several factors associated with mortality, highlighting age (HR = 1.04, 95% CI: 1.02-1.06, p = 0.001), diabetes (HR = 1.77, 95% CI: 1.09-2.87, p = 0.020), renal insufficiency (HR = 2.25, 95% CI: 1.32-3.84, p = 0.003), and type of intervention. The model evaluation showed strong predictive capacity. It is essential to emphasize the importance of comprehensive management in AMI patients with risk factors such as diabetes and chronic kidney disease, as they are significant predictors of mortality during the first year post infarction.

Diagnostic and Prognostic Value of Circulating DNA Fragments in Glioblastoma Multiforme Patients.

Novel blood-circulating molecules, as potential biomarkers for glioblastoma multiforme (GBM) diagnosis and monitoring, are attracting particular attention due to limitations of imaging modalities and invasive tissue biopsy procedures. This study aims to assess the diagnostic and prognostic values of circulating cell-free DNA (cfDNA) in relation to inflammatory status in GBM patients and to determine the concentration and average size of DNA fragments typical of tumour-derived DNA fractions. Preoperative plasma samples from 40 patients (GBM 65.0 ± 11.3 years) and 40 healthy controls (HC 70.4 ± 5.4 years) were compared. The cfDNA concentrations and lengths were measured using the electrophoresis platform, and inflammatory indices (NLR, PLR, LMR, and SII) were calculated from complete blood cell analysis. More fragmented cfDNA and 4-fold higher 50-700 bp cfDNA concentrations were detected in GBM patients than in healthy controls. The average cfDNA size in the GBM group was significantly longer (median 336 bp) than in the HC group (median 271 bp). Optimal threshold values were 1265 pg/μL for 50-700 bp cfDNA (AUC = 0.857) and 290 bp for average cfDNA size (AUC = 0.814). A Kaplan-Meier survival curves analysis also demonstrated a higher mortality risk in the GBM group with a cut-off >303 bp cfDNA. This study is the first to have revealed glioblastoma association with high levels of cfDNA > 1000 pg/μL of 50-700 bp in length, which can be aggravated by immunoinflammatory reactivity.

Association between triglyceride–glucose index trajectories and radiofrequency ablation outcomes in patients with stage 3D atrial fibrillation

BackgroundThis study investigates the relationship between triglyceride-glucose (TyG) index trajectories and the results of ablation in patients with stage 3D atrial fibrillation (AF).MethodsA retrospective cohort study was carried out on patients who underwent AF Radiofrequency Catheter Ablation (RFCA) at the Cardiology Department of the Fourth Affiliated Hospital of Zhejiang University and Taizhou Hospital of Zhejiang Province from January 2016 to December 2022. The main clinical endpoint was determined as the occurrence of atrial arrhythmia for at least 30 s following a 3-month period after ablation. Using a latent class trajectory model, different trajectory groups were identified based on TyG levels. The relationship between TyG trajectory and the outcome of AF recurrence in patients was assessed through Kaplan-Meier survival curve analysis and multivariable Cox proportional hazards regression model.ResultsThe study included 997 participants, with an average age of 63.21 ± 9.84 years, of whom 630 were males (63.19%). The mean follow-up period for the participants was 30.43 ± 17.75 months, during which 200 individuals experienced AF recurrence. Utilizing the minimum Bayesian Information Criterion (BIC) and the maximum Entropy principle, TyG levels post-AF RFCA were divided into three groups: Locus 1 low-low group (n = 791), Locus 2 low-high-low group (n = 14), and Locus 3 high-high group (n = 192). Significant differences in survival rates among the different trajectories were observed through the Kaplan-Meier curve (P < 0.001). Multivariate Cox regression analysis showed a significant association between baseline TyG level and AF recurrence outcomes (HR = 1.255, 95% CI: 1.087–1.448). Patients with TyG levels above 9.37 had a higher risk of adverse outcomes compared to those with levels below 8.67 (HR = 2.056, 95% CI: 1.335–3.166). Furthermore, individuals in Locus 3 had a higher incidence of outcomes compared to those in Locus 1 (HR = 1.580, 95% CI: 1.146-2).ConclusionThe TyG trajectories in patients with stage 3D AF are significantly linked to the outcomes of AF recurrence. Continuous monitoring of TyG levels during follow-up may help in identifying patients at high risk of AF recurrence, enabling the early application of effective interventions.

Blood urea nitrogen to serum albumin ratio as a new prognostic indicator in type 2 diabetes mellitus patients with chronic kidney disease

Chronic kidney disease (CKD) is often a common comorbidity in critically ill patients with type 2 diabetes mellitus (T2DM). This study explored the relationship between blood urea nitrogen to serum albumin ratio (BAR) and mortality in T2DM patients with CKD in intensive care unit (ICU). Patients were recruited from the Medical Information Mart database, retrospectively. The primary and secondary outcomes were 90-day mortality, the length of ICU stay, hospital mortality and 30-day mortality, respectively. Cox regression model and Kaplan–Meier survival curve were performed to explore the association between BAR and 90-day mortality. Subgroup analyses were performed to determine the consistency of this association. A total of 1920 patients were enrolled and divided into the three groups (BAR < 9.2, 9.2 ≤ BAR ≤ 21.3 and BAR > 21.3). The length of ICU stay, 30-day mortality, and 90-day mortality in the BAR > 21.3 group were significantly higher than other groups. In Cox regression analysis showed that high BAR level was significantly associated with increased greater risk of 90-day mortality. The adjusted HR (95%CIs) for the model 1, model 2, and model 3 were 1.768 (1.409–2.218), 1.934, (1.489–2.511), and 1.864, (1.399–2.487), respectively. Subgroup analysis also showed the consistency of results. The Kaplan–Meier survival curve analysis revealed similar results as well that BAR > 21.3 had lower 90-day survival rate. High BAR was significantly associated with increased risk of 90-day mortality. BAR could be a simple and useful prognostic tool in T2DM patients with CKD in ICU.

Identification of a prognosis-related gene signature and ceRNA regulatory networks in lung adenocarcinoma

The ceRNA network, consisting of both noncoding RNA and protein-coding RNA, governs the occurrence, progression, metastasis, and infiltration of lung adenocarcinoma. Signatures comprising multiple genes can effectively determine survival stratification and prognosis of patients with lung adenocarcinoma. To explore the mechanisms of lung adenocarcinoma progression and identify potential biological targets, we carried out systematic bioinformatics analyses of the genetic profiles of lung adenocarcinoma, such as weighted gene co-expression network analysis (WGCNA), differential expression (DE) assessment, univariate and multivariate Cox proportional hazard regression models, ceRNA modulatory networks generated using the ENCORI and miRcode databases, nomogram models, ROC curve assessment, and Kaplan-Meier survival curve analysis. The ceRNA network encompassed 37 nodes, comprising 12 mRNAs, 22 lncRNAs, and three miRNAs. Simultaneously, we performed integration analysis using the 12 genes from the ceRNA network. Our findings revealed that the signature established by these 12 genes serves as an adverse element in lung adenocarcinoma, contributing to unfavorable patient prognosis. To ensure the credibility of our results, we used in vitro experiments for further verification. In conclusion, our study delved into the potential mechanisms underlying lung adenocarcinoma via the ceRNA regulatory network, specifically focusing on the PIF1 and has-miR-125a-5p axis. Additionally, a signature comprising 12 genes was identified as a biomarker related to the prognosis of lung adenocarcinoma.

Comprehensive bioinformatics analysis of KIF20A as a prognosis biomarker for clear cell renal cell carcinoma.

It has been shown that kinesin family member 20A (KIF20A) is involved in the development of several cancers. However, research on clear cell renal cell carcinoma (ccRCC) and KIF20A is still exploratory. The current research was carried out to determine whether KIF20A expression has any prognosis value in ccRCC. Data were downloaded from The Cancer Genome Atlas (TCGA) database to validate the KIF20A mRNA expression and to perform clinicopathological analysis. Receiver operating characteristic (ROC) curves were used in evaluating KIF20A's diagnostic performance for ccRCC. The prognostic value of KIF20A in ccRCC was estimated by the Kaplan-Meier survival curve and Cox regression analysis. Gene set enrichment analysis (GSEA), functional annotations, and immune infiltration analysis were used to determine the potential mechanism of KIF20A's role in ccRCC. The increase in KIF20A mRNA expression was associated with sex, clinical stage, histologic grade, and TNM stage. ROC curve indicated that KIF20A could distinguish ccRCC from normal kidney samples. Survival study showed that high KIF20A expression predicted poor ccRCC prognosis. Thus, KIF20A expression could be used as an independent overall survival (OS) risk factor for ccRCC patients. Co-expression analysis identified TPX2 as a strong, positively correlated factor with KIF20A in ccRCC. Functional enrichment analyses and GSEA showed that KIF20A and TPX2 participated in various tumor-related pathways. Moreover, KIF20A and TPX2 expression were significantly associated with the level of immune infiltration into ccRCC. KIF20A may be a therapeutic target and a prognostic biomarker for ccRCC.

Circulating soluble CD30 is associated with renal tertiary lymphoid structures and the progression of IgA nephropathy

BackgroundRenal tertiary lymphoid structures (TLSs) are involved in renal pathology and prognosis of IgA nephropathy (IgAN). CD30 and its ligands participate in the formation of renal TLSs. However, the relationship between circulating CD30 and renal prognosis is unclear. The objective of this study was to evaluate the relationship between circulating CD30 and prognosis in patients with IgAN. MethodsWe conducted a retrospective study including 351 patients with biopsy proved IgAN. We collected clinical and pathologic features at the time of biopsy and recorded renal follow-up outcomes. Circulating CD30 levels in IgAN patients at the time of biopsy were measured via enzyme-linked immunosorbent assay (ELISA). The association between elevated CD30 levels and the composite endpoint (defined as a ≥ 50 % decline in eGFR from baseline, end-stage renal disease, or death) was investigated using Cox regression analysis. ResultsDuring a median follow-up period of 5.12 years, 44 (12.5 %) patients in the cohort reached the composite endpoint. Kaplan-Meier survival curve analysis revealed a significant association between higher circulating CD30 levels and a poorer renal prognosis (log-rank P < 0.001). Cox regression analysis showed that high CD30 was an independent factor for the composite endpoints in multivariable-adjusted models (HR 3.397, 95 % CI: 1.230–9.384, P = 0.018). These associations were also observed in a subgroup of patients with concomitant renal TLSs formation (10.443, 95 % CI: 1.680–65.545, P = 0.012), proteinuria > 1 g/d (HR 12.287, 95 % CI: 1.499–100.711, P = 0.019), and female patients (HR 22.372, 95 % CI: 1.797–278.520, P = 0.016). ConclusionElevated level of circulating CD30 is an independent risk factor for renal disease progression in patients with IgAN.

Exploring salivary gene expression clusters: A bioinformatics approach for advanced diagnosis and prognosis in head and neck squamous cell carcinoma

ObjectiveThis study postulates that distinct patterns in salivary gene expression clusters among HNSCC patients provide valuable insights into diagnostic and prognostic markers for the disease. The aim is to identify critical genes and their protein-protein interactions through bio-computational analyses, contributing to a deeper understanding of HNSCC progression. Ultimately, the hypothesis anticipates the discovery of novel molecular signatures in saliva, potentially enhancing early detection and prognostic precision in head and neck squamous cell carcinoma. Materials and methodsA comprehensive keyword search was conducted to extract 74 salivary gland secretion genes from the Human Protein Atlas. GeneMANIA and STRING databases were employed to analyse protein-protein interactions and predict functional partners. UALCAN facilitated the visualization of salivary gland secretion gene expression patterns in HNSCC, providing insights into survival analysis. ResultsIn HNSCC compared to normal tissue, CHRM3, GYLTL1B, MMP3, and WDR91 were identified as statistically upregulated genes, while the downregulated genes included AGFG2, CCDC64B, CD24, CRISP3, CXCL17, ELF5, KRT7, MANSC1, MYO5C, PRR4, SCGB3A1, SH3YL1, TCN1, TRPV6, and ZG16B. Kaplan–Meier survival curve analysis revealed that high expression of salivary genes such as AGFG2, AMY1A, CCDC64B, CCL28, C4ORF7, GYLTL1B, TMEM211, LMX1B, ODAM, SCGB3A1, and SLC26A9 was significantly associated with poorer overall survival outcomes in HNSCC patients. ConclusionThis study identifies distinct salivary gene expression patterns in HNSCC, highlighting potential diagnostic and prognostic markers. Specific upregulated genes, such as CHRM3 and GYLTL1B, and downregulated genes, including AGFG2 and CCDC64B, offer insights into HNSCC progression. Elevated expression of particular genes correlates with poorer overall survival, emphasising their prognostic significance.

The analysis of preoperative or intraoperative factors in predicting the escalation of surgical pathological staging of patients with clinical stage I endometrioid carcinoma: A retrospective clinical study.

To retrospectively analyze the preoperative and intraoperative influencing factors in predicting the escalation of surgical pathological staging in patients with clinical stage I endometrioid carcinoma. Patients with clinical stage I endometrioid carcinoma at Women's Hospital, School of Medicine, Zhejiang University, between January 2002 and December 2015 were enrolled in this study. Due to preoperative or intraoperative surgical exploration, the patients with one or more preoperative or intraoperative high-risk factors underwent total hysterectomy, bilateral salpingo-oophorectomy and lymphadenectomy, totaling 535 cases. The preoperative and intraoperative influencing factors that could lead to the escalation of postoperative surgical pathological staging were further analyzed. 1. There were 535 patients diagnosed with clinical stage I endometrioid carcinoma before surgery, 125 patients were upgraded with postoperative pathological staging, for a rate of 23.36%. 2. Kaplan-Meier survival curve analysis showed that the prognosis in postoperative surgical pathological staging upgraded cases was worse than that in nonupgraded cases. The tumor-free survival and overall survival rates in the 2 groups were significantly different (P < .001). 3. Univariate analysis showed that preoperative degree of myometrial infiltration, intraoperative visual myometrial infiltration depth, massive size of tumor (diameter ≥ 4 cm) and preoperative abnormal serum cancer antigen 125 (CA125) level were associated with the escalation of surgical pathological staging (P < .05). Multivariate analysis indicated that massive size of tumor and preoperative serum abnormal CA125 level were independent predictors of whether postoperative pathological staging would be upgraded (P < .05). 4. The receiver operating characteristic curve drawn with the massive size of tumor and/or the preoperative serum CA125 level abnormality could be used to predict the probability of postoperative pathological upstaging. The results showed that the area from the combination of the 2 factors under the receiver operating characteristic curve was 0.723 (95% confidence interval, 0.672-0.773), suggesting that the combination of massive size of tumor and abnormal preoperative serum CA125 level may serve as an influencing factor for predicting the postoperative pathological staging upgrades. The clinical stage I endometrioid carcinoma patients with massive size of tumor and abnormal preoperative serum CA125 level need to be fully evaluated to ensure appropriate management as soon as possible, since they are more likely to experience postoperative pathological staging upgrades.

The 6-h lactate clearance rate in predicting 30-day mortality in cardiogenic shock

BackgroundEarly evaluation of prognosis in cardiogenic shock (CS) is crucial for tailored treatment selection. Both lactate clearance and lactate levels are considered useful prognostic biomarkers in patients with CS. However, there is yet no literature comparing the 6-h lactate clearance rate (Δ6Lac) with lactate levels measured at admission (L1) and after 6 h (L2) to predict 30-day mortality in CS. MethodsIn this observational cohort study, 95 patients with CS were treated at Department of Intensive Care Unit, Yiwu Central Hospital between January 2020 and December 2022. Of these, 88 patients met the eligibility criteria for inclusion. The lactate levels were measured after admission (L1) as the baseline lactate value, and were measured after 6 h (L2) following admission. The primary endpoint of the study was survival rate at 30 days. A receiver operating characteristic curve was used for data analysis. Univariate and multivariate Cox regression analyses were performed based on Δ6Lac. Kaplan–Meier (KM) survival curves were generated to compare the 30-day survival rates among L1, L2, and Δ6Lac. ResultsThe Δ6Lac model showed the highest area under the curve value (0.839), followed by the L2 (0.805) and L1 (0.668) models. The Δ6Lac model showed a sensitivity of 84.2% and specificity of 75.4%. The L1 and L2 models had sensitivities of 57.9% each and specificities of 89.9% and 98.6%, respectively. The cut-off values for Δ6Lac, L1, and L2 were 18.2%, 6.7 mmol/L, and 6.1 mmol/L, respectively. Univariate Cox regression analysis revealed a significant association between Δ6Lac and 30-day mortality. After adjusting for five models in multivariate Cox regression, Δ6Lac remained a significant risk factor for 30-day mortality in patients with CS. In our fifth multivariate Cox regression model, Δ6Lac remained a risk factor associated with 30-day mortality (hazard ratio [HR]=5.14, 95% confidence interval [CI]: 1.48 to 17.89, P=0.010) as well as L2 (HR=8.42, 95% CI: 1.26 to 56.22, P=0.028). The KM survival curve analysis revealed that L1 >6.7 mmol/L (HR=8.08, 95% CI: 3.23 to 20.20, P <0.001), L2 >6.1 mmol/L (HR=25.97, 95% CI: 9.76 to 69.15, P <0.001), and Δ6Lac ≤18.2% (HR=8.92, 95% CI: 3.95 to 26.95, P <0.001) were associated with a higher risk of 30-day mortality. ConclusionsΔ6Lac is a better predictor of 30-day mortality in CS than lactate levels at admission. It has a predictive value equivalent to that of lactate level at 6 h after admission, making it an important surrogate indicator for evaluating the suitability as well as poor prognosis after CS treatment. We found that a cut-off value of 18.2% for Δ6Lac provided the most accurate assessment of early prognosis in CS.

Biomechanical imaging biomarker during chemoradiotherapy predicts treatment response in head and neck squamous cell carcinoma

Objective. For response-adapted adaptive radiotherapy (R-ART), promising biomarkers are needed to predict post-radiotherapy (post-RT) responses using routine clinical information obtained during RT. In this study, a patient-specific biomechanical model (BM) of the head and neck squamous cell carcinoma (HNSCC) was proposed using the pre-RT maximum standardized uptake value (SUVmax) of 18F-fluorodeoxyglucose (FDG) and tumor structural changes during RT as evaluated using computed tomography (CT). In addition, we evaluated the predictive performance of BM-driven imaging biomarkers for the treatment response of patients with HNSCC who underwent concurrent chemoradiotherapy (CCRT). Approach. Patients with histologically confirmed HNSCC treated with definitive CCRT were enrolled in this study. All patients underwent CT two times as follows: before the start of RT (pre-RT) and 3 weeks after the start of RT (mid-RT). Among these patients, 67 patients who underwent positron emission tomography/CT during the pre-RT period were included in the final analysis. The locoregional control (LC), progression-free survival (PFS), and overall survival (OS) prediction performances of whole tumor stress change (TS) between pre- and mid-RT computed using BM were assessed using univariate, multivariate, and Kaplan–Meier survival curve analyses, respectively. Furthermore, performance was compared with the pre and post-RT SUVmax, tumor volume reduction rate (TVRR) during RT, and other clinical prognostic factors. Main results. For both univariate, multivariate, and survival curve analyses, the significant prognostic factors were as follows (p < 0.05): TS and TVRR for LC; TS and pre-RT FDG-SUVmax for PFS; and TS only for OS. In addition, for 2 year LC, PFS, and OS prediction, TS showed a comparable predictive performance to post-RT FDG-SUVmax. Significance. BM-driven TS is an effective prognostic factor for tumor treatment response after CCRT. The proposed method can be a feasible functional imaging biomarker that can be acquired during RT using only routine clinical data and may provide useful information for decision-making during R-ART.

Serum ferritin and neutrophil-to-lymphocyte ratio predict all-cause mortality in patients receiving maintenance hemodialysis: a prospective study.

Introduction: Maintenance hemodialysis is an effective treatment for end-stage renal disease patients. A critical factor contributing to the deterioration and death of maintenance hemodialysis patients is inflammation. Therefore, we focused on two inflammatory markers, serum ferritin and neutrophil-to-lymphocyte ratio, to speculate whether they could predict the prognosis of maintenance hemodialysis patients. Patients and methods: We followed 168 patients with maintenance hemodialysis from July 2019 to July 2022 with the endpoint of all-cause death or follow-up completion. Receiver operating characteristic curves were plotted to assess the values of serum ferritin, neutrophil-to-lymphocyte ratio and serum ferritin combined with neutrophil-to-lymphocyte ratio to predict the outcomes of maintenance hemodialysis patients. Kaplan-Meier survival curves were constructed to compare survival rates over time. Results: Receiver operating characteristic curves demonstrated that the best cut-off value of serum ferritin for predicting the prognosis of maintenance hemodialysis patients was 346.05μg/L, and that of neutrophil-to-lymphocyte ratio was 3.225. Furthermore, a combination of both had a more excellent predicting value than either index (p < 0.05). Kaplan-Meier survival curve analyses revealed that low serum ferritin levels and low neutrophil-to-lymphocyte ratio had a higher probability of survival than high ferritin levels and high neutrophil-to-lymphocyte ratio, separately. Conclusion: Elevated serum ferritin and neutrophil-to-lymphocyte ratio are closely related to all-cause mortality among maintenance hemodialysis patients, for which they may be predictors of all-cause mortality. Additionally, the combination of the two has a much higher predictor value for the prognosis of maintenance hemodialysis patients.

Survival analysis of laparoscopic surgery and open surgery for hilar cholangiocarcinoma: a retrospective cohort study

Background/purposeThis study compared the clinical efficacy and safety of laparoscopic versus open resection for hilar cholangiocarcinoma (HCCA) and analyzed potential prognostic factors.MethodsThe study included patients who underwent HCCA resection at our center from March 2012 to February 2022. Perioperative complications and postoperative prognosis were compared between the laparoscopic surgery (LS) and open surgery (OS) groups.ResultsAfter screening 313 HCCA patients, 68 patients were eligible for the study in the LS group (n = 40) and OS group (n = 28). Kaplan-Meier survival curve analysis revealed that overall survival > 2 years and 3-year disease-free survival (DFS) were more common in the LS than OS group, but the rate of 2-year DFS was lower in the LS group than OS group. Cox multivariate regression analysis revealed age (< 65 years), radical resection, and postoperative adjuvant therapy were associated with reduced risk of death (hazard ratio [HR] = 0.380, 95% confidence interval [CI] = 0.150–0.940, P = 0.036; HR = 0.080, 95% CI = 0.010–0.710, P = 0.024 and HR = 0.380, 95% CI = 0.150–0.960, P = 0.040), whereas preoperative biliary drainage was an independent factor associated with increased risk of death (HR = 2.810, 95% CI = 1.130–6.950, P = 0.026). Perineuronal invasion was identified as an independent risk factor affecting DFS (HR = 5.180, 95% CI = 1.170–22.960, P = 0.030).ConclusionsCompared with OS, laparoscopic HCCA resection does not significantly differ in terms of clinical efficacy. Age (<65 years), radical resection, and postoperative adjuvant therapy reduce the risk of death, and preoperative biliary drainage increases the risk of death.

The risk of unprovoked seizure occurrence after status epilepticus in adults.

Status epilepticus (SE) may lead to long-term consequences. This study evaluated the risk and predictors of seizure occurrence after SE, with a focus on SE due to acute symptomatic etiologies. Prospectively collected data about adults surviving a first non-hypoxic SE were reviewed. The outcome was the occurrence of unprovoked seizures during the follow-up. Kaplan-Meier survival curve analysis and log-rank test were used to analyze the time to seizure occurrence and determine the statistical significance between etiological groups. Three subcategories within acute etiology were considered according to the presence of the following: (1) structural lesion (acute-primary); (2) brain involvement during systemic disorders (acute-secondary); and (3) drug or alcohol intoxication/withdrawal (acute-toxic). Cox proportional hazards model was adopted to estimate hazard ratios (HRs) with the 95% confidence intervals (CIs). Two hundreds fifty-seven individuals were included. Fifty-four subjects (21.0%) developed seizures after a median of 9.9 (interquartile range 4.3-21.7) months after SE. The estimated 1-, 2-, and 5-year rates of seizure occurrence according to acute SE etiologies were 19.4%, 23.4%, and 30.1%, respectively, for acute-primary central nervous system (CNS) pathology; 2.2%, 2.2%, and 8.7%, respectively, for acute-secondary CNS pathology; and 0%, 9.1%, and 9.1%, respectively, for acute-toxic causes. Five-year rates of seizure occurrence for non-acute SE causes were 33.9% for remote, 65.7% for progressive, and 25.9% for unknown etiologies. In multivariate Cox regression model, progressive etiology (adjusted HR [adjHR] 2.27, 95% CI 1.12-4.58), SE with prominent motor phenomena evolving in non-convulsive SE (adjHR 3.17, 95% CI 1.38-7.25), and non-convulsive SE (adjHR 2.38, 95% CI 1.16-4.90) were independently associated with higher hazards of unprovoked seizures. Older people (adjHR .98, 95% CI .96-.99) and people with SE due to acute-secondary CNS pathology (adjHR .18, 95% CI .04-.82) were at decreased risk of seizure occurrence. SE carries a risk of subsequent seizures. Both the underlying cause and epileptogenic effects of SE are likely to contribute.

Early double-balloon enteroscopy was not related to better clinical outcomes in patients with suspected overt small bowel bleeding.

Device-assisted enteroscopy has been used for over 20 years for the management of patients with suspected small bowel bleeding. Unlike esophagogastroduodenoscopy and colonoscopy, the appropriate timing of enteroscopy is still unknown. In recent guidelines, early enteroscopy is suggested to maximize diagnostic yield and therapeutic yield in patients with suspected small bowel bleeding. However, few studies have identified its influence on clinical outcomes, including mortality or rebleeding rate. We conducted this study to evaluate the influence of the timing of double-balloon enteroscopy on clinical outcomes in patients with suspected small bowel bleeding. Patients with overt small bowel bleeding who underwent double-balloon enteroscopy from January 2013 to February 2021 were retrospectively reviewed. Patients were categorized into an early enteroscopy group (≤14 days) and a nonearly enteroscopy group (>14 days). Clinical outcomes, including short-term mortality and rebleeding rate, long-term mortality and rebleeding rate, diagnostic yield, and therapeutic yield, were analyzed. A total of 100 patients (mean age, 66.2 years; 53% male) were included, and 44 patients were stratified into the early enteroscopy group. The diagnostic yield, therapeutic yield, mortality, and rebleeding rate were similar between two groups. In multivariate conditional logistic regression analysis, there were no significant differences between two groups regarding the 30-day rebleeding rate (adjusted odds ratio [aOR], 1.43; 95% CI, 0.47-4.33), 90-day rebleeding rate (aOR, 1.18; 95% CI, 0.47-2.94), 30-day mortality rate (aOR, 1.29; 95% CI, 0.21-8.13), 90-day mortality rate (aOR, 1.94; 95% CI, 0.48-7.87), and 90-day bleeding-related mortality (aOR, 2.18; 95% CI, 0.24-19.52). The Kaplan-Meier survival curve analysis showed that the timing of DBE was not associated with the long-term rebleeding rate or mortality rate ( p = 0.57 and 0.83, respectively). The timing of enteroscopy did not influence the clinical outcomes, including the short-term mortality rate, short-term rebleeding rate, long-term mortality rate, and rebleeding rate, in patients with suspected overt small bowel bleeding.