Geriatric Nutritional Risk Index in Predicting the Mortality of Fournier's Gangrene: Analysis of 14-Year Statistics of Referral Center.

Introduction: Fournier's gangrene (FG) is a type of necrotizing fasciitis affecting the external genitalia or perineum. The Geriatric Nutritional Risk Index (GNRI) has been reported as a prognostic factor to evaluate the outcomes of various diseases. This study aimed to investigate the utility of GNRI in predicting the mortality of FG patients. Methods: This retrospective cross-sectional study evaluated the patients admitted to a referral hospital, during 14 years, with diagnosis of FG. The role of GNRI in predicting the mortality of these patients was studied. To further investigate the relationship of the GNRI score with patients' prognosis, we controlled for the scores of Fournier's Gangrene Severity Index (FGSI) and Charlson Comorbidity Index (CCI). Result: 78 patients with the mean age of 60.79 ± 13.76 (range: 24 -85) years were included in the study (89.74% male). The mortality rate in this series was 23 (29.5%) cases. The survived cases had significantly higher GNRI score (p < 0.001), higher Albumin level (p < 0.001), higher weight (p = 0.04), and lower mortality risk based on FGSI score (p < 0.001). In patients with low mortality risk according to FGSI score (p = 0.036) and mild comorbidities based on CCI score (p = 0.030), the association between GNRI and final prognosis was significant. In contrast, in patients with high mortality risk according to FGSI score (p =0.074) and moderate (p = 0.118) and severe (p = 0.215) comorbidities by CCI score this association was not significant.The independent predictors of mortality in FG patients were GNRI score (OR: 1.242, 95%CI: 1.08, 1.41; p =0.001) and FGSI score (OR: 54.614, 95%CI: 6.89, 432.31; p < 0.001). The area under the receiver operating characteristic (ROC) curve of GNRI score in predicting the mortality of FG patients was 0.84 (95%CI: 0.75 - 0.93). The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and negative likelihood ratio of GNRI score at the optimal cut-off point (78.5) were, 80%, 77.9%, 60.6%, 90.4%, 3.69, and 0.255 respectively. Conclusions: Our findings indicate that among patients with mild FG, as assessed by FGSI score, and those with low comorbidities based on CCI score, the GNRI score in survivors was significantly higher than that in non-survived. Additionally, multivariate regression analysis demonstrated that the GNRI score serves as an independent predictor of patient outcomes.

A novel prognosis evaluation indicator of patients with sepsis created by integrating six microfluidic-based neutrophil chemotactic migration parameters.

Impaired neutrophil migration in sepsis is associated with a poor prognosis. The potential of utilizing neutrophil chemotaxis to assess immune function, disease severity, and patient prognosis in sepsis remains underexplored. This study employed an innovative approach by integrating a multi-tip pipette with a Six-Unit microfluidic chip (SU6-chip) to establish gradients in six microchannels, thereby analyzing neutrophil chemotaxis in sepsis patients. We compared chemotactic parameters between healthy controls (NH = 20) and sepsis patients (NS1 = 25), observing significant differences in gradient perception time (GP), migration distance (MD), peak velocity (Vmax), chemotactic index (CI), reverse migration rate (RM), and stop migration number (SM). A novel composite indicator, the Sepsis Neutrophil Migration Evaluation (SNME) index, was developed by integrating these six chemotactic migration parameters. The SNME index and individual chemotaxis parameters showed significant correlations with the Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation (APACHE II) score, hypersensitivity C-reactive protein (hs-CRP), and heparin-binding protein (HBP). Moreover, the SNME index demonstrated potential for monitoring sepsis progression, with ROC analysis confirming its predictive accuracy (area under the curve [AUC] = 0.895, cutoff value = 31.5, specificity = 86.73 %, sensitivity = 86.71 %), outperforming individual neutrophil chemotactic parameters. In conclusion, the SNME index represents a promising new tool for adjunctive diagnosis and prognosis assessment in patients with sepsis.

The Best ECG Lead for Predicting the Risk of Drug-Induced Torsade De Pointes Using Corrected QT Interval: A Comparative Prognostic Study.

Introduction: Torsade de pointes (TdP) is a deadly complication from drug-induced QT prolongation. Each of the 12 lead of an electrocardiogram (ECG) has a different length of QT interval, and thus might have a different performance in TdP prediction. This study aimed to determine the best ECG lead or set of leads in this regard. Methods: This is a comparative prognostic accuracy study using a two-gate data gathering design. The population in this study was from two sources, a case group (Patients who had drug-induced TdP, which were identified through a systematic Medline search) and a control group (those who overdosed on QT-prolonging drugs, which included patients who were under the consultation of Medical Toxicology Services). The areas under the receiver operating characteristic curve (AUROC) of heart rate-corrected QT (QTc) in each single ECG lead and of a mean/median QTc from a set of ECG leads (17 index test) in predicting the risk of TdP were calculated and compared with each other, trying to find the best lead for this propose. QTc Interval measurements were done by four investigators (Interrater reliabilities 0.95). Results: Finally, we included 136 and 148 ECGs from TdP cases and controls, respectively. V3 lead had the highest frequency of longest QTc interval, among the leads. The lead having the longest QTc yielded the greatest AUROC in predicting TdP regardless of QT correction formulas (QTcFRA=0.9915, QTcRTH=0.9893, QTcBZT=0.9904). The mean QTc of 3 leads (lead II, plus any two of leads V2-V4), and a median QTc of 6 leads (I, II, aVF, V2, V4, V6) provided similar overall performance for TdP prediction (regardless of the type of QTc formula). Conclusion: The longest QTc provided the greatest AUROC in predicting drug-induced TdP, however, the longest QTc is not located in a fixed individual lead in any patient. A less time-consuming method with comparable performance to that of the longest QTc was to use a mean QTc from 3 leads (lead II, plus any two of leads V2-V4). The potential clinical impact of this finding needs to be verified in a prospective cohort study.

Associated Factors of Trauma Severity and Mortality in Pediatric Patients Admitted to Intensive Care Unit; a 10-Year Retrospective Study.

Introduction: Trauma is a significant global public health concern and the leading cause of morbidity and mortality in children. This study aimed to assess the independent predictors of trauma severity as well as mortality in pediatric patients admitted to the intensive care unit (ICU). Methods: In this cross-sectional study, following the STROBE checklist, we retrospectively analyzed the clinical and baseline characteristics of pediatric patients with trauma injuries admitted to the ICU of Children's Hospital of Zhejiang University School of Medicine, China, over a decade. Results: 951 pediatric patients with a mean age of 4.79 ± 3.24 years (60.78% Boys) were studied (mortality rate 8.41%). Significant associations were observed between ISS and place of residence (p = 0.021), location of the injury (p = 0.010), year of injury (p <0.001), and injury mechanism (p <0.001). The two independent factors of trauma severity were the year of injury (ß = 0.47; 95%CI: 0.28 - 0.65) and injury mechanism (ß = -0.60; 95%CI: -0.88 - -0.31). Significant differences were observed between survived and non-survived regarding age (p <0.001), ISS score (p <0.001), time elapsed from injury to ICU (p <0.001), duration of mechanical ventilation (p <0.001), GCS score (p <0.001), and the proportion of patients requiring mechanical ventilation (p <0.001 ). The results of multivariate analysis indicated that age (OR = 0.805; 95%CI: 0.70 - 0.914; p = 0.001) and GCS score at ICU admission (OR = 0.629; 95%CI: 0.53 - 0.735; p < 0.001) acted as protective factors, whereas mechanical ventilation in the ICU (OR = 7.834; 95%CI: 1.766 - 34.757; p = 0.007) and ISS score at ICU admission (OR = 1.088; 95%CI: 1.047 - 1.130; p < 0.001) served as risk factors for mortality. Conclusion: Automobile-related injuries represent the leading cause of trauma in children, with escalating severity scores year over year among pediatric patients admitted to the ICU with trauma injuries. Based on the findings the independent predictors of mortality of pediatric trauma patients admitted to the ICU were age, GCS score at ICU admission; mechanical ventilation in the ICU, and ISS score at ICU admission. Also, the year of injury and injury mechanism were independent predictors of trauma severity.

LNX1-AS2 as a Key Prognostic and Immunotherapy Response Biomarker for Lung Adenocarcinoma.

BACKGROUND: The role of LNX1 antisense RNA 2 (LNX1-AS2) in lung adenocarcinoma (LUAD) remains unclear. OBJECTIVE: This study aimed to investigate the association between LNX1-AS2 and LUAD by employing bioinformatics analysis and experimental validation. METHODS: Statistical analysis and database interrogation were utilized to assess correlations among LNX1-AS2 expression, clinical characteristics of LUAD patients, prognostic factors, regulatory networks, and immune infiltration. LNX1-AS2 expression in LUAD cell lines was quantified using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The study found significantly elevated levels of LNX1-AS2 expression in patients with LUAD. Furthermore, elevated LNX1-AS2 expression in LUAD patients did not significantly correlate with gender (p = 0.041) or race (p = 0.049). Importantly, high LNX1-AS2 expression levels were associated with poorer overall survival (OS, p = 0.042) and disease-specific survival (DSS, p = 0.040) in LUAD patients. Additionally, high LNX1-AS2 expression (p = 0.015) was independently correlated with OS in LUAD patients. The phenotype characterized by high LNX1-AS2 expression was also found to be enriched for asthma, allograft rejection, drug metabolism cytochrome P450, metabolism of xenobiotics by cytochrome P450, olfactory transduction, renin-angiotensin system, retinol metabolism, pentose and glucuronate interconversions, and porphyrin and chlorophyll metabolism. A significant correlation was identified between the expression levels of LNX1-AS2 and immune infiltration in the context of LUAD. Elevated expression of LNX1-AS2 was notably detected in LUAD cell lines as opposed to Beas-2B. CONCLUSION: A noteworthy relationship was established among increased LNX1-AS2 expression in LUAD patients, unfavorable prognosis, and heightened immune infiltration. These findings suggest that the LNX1-AS2 gene could serve as a valuable prognostic indicator for LUAD and a potential predictor of response to immunotherapy.

LncRNA HAGLROS: A Vital Oncogenic Propellant in Various Human Cancers.

HAGLR Opposite Strand lncRNA (HAGLROS) is a long non-coding RNA (lncRNA) located on the long arm of human chromosome 2 at locus 2q31.1. Emerging evidence highlights HAGLROS as a pivotal player in human cancers, characterized by its significant upregulation across multiple malignancies where it functions as an oncogenic driver. Its aberrant expression is closely linked to the initiation and progression of 13 distinct cancer types, notably correlating with adverse clinical outcomes and reduced overall survival rates in 9 of these cancer types. Mechanistically, HAGLROS is under the regulatory influence of the transcription factor STAT3, exerts competitive binding to 9 miRNAs, activates 5 signaling pathways pivotal for cancer cell proliferation and metastasis, as well as intricately modulates gene expression profiles. Given its multifaceted roles, HAGLROS emerges as a promising candidate for cancer diagnostics and prognostics. Moreover, its potential as a therapeutic target holds considerable promise for novel treatment strategies in oncology. This review synthesizes current research on HAGLROS, covering its expression patterns, biological roles, and clinical significance in cancer. By shedding light on these aspects, this review aims to contribute new perspectives that advance our understanding of cancer biology, enhance diagnostic accuracy, refine prognostic assessments, and pave the way for targeted therapeutic interventions.

Ascending aortic length predicts adverse outcomes in type a intramural hematoma.

OBJECTIVES: Ascending aortic length has recently been recognized as a novel predictor of adverse events in aortic diseases, but its prognostic value in type A intramural haematoma is unknown. We aimed to evaluate the association between ascending aortic length and outcomes in patients with type A intramural haematoma initially managed medically. METHODS: We retrospectively analyzed patients with acute type A intramural haematoma. Ascending aortic length was measured by computed tomography. The primary outcome was aortic progression, defined as aortic intervention or aortic-related death. RESULTS: A total of 98 patients were enrolled. During a median follow-up of 2.6 years, aortic progression occurred in 27 patients (27.6%), ie, 9 events per 100 patient-years). Patients with ascending aortic length ≥11 cm had significantly higher rates of aortic progression (54.2% [20.9 events per 100 patient-years] vs 18.9% [6.1 events per 100 patient-years], p = 0.001), surgical intervention (45.8% vs 12.2%, p = 0.001), and presence of ulcer-like projection (25.0% vs 2.7%, p = 0.002) compared to those with ascending aortic length <11 cm. Kaplan-Meier analysis demonstrated lower progression-free survival in the ascending aortic length ≥11 cm group (p = 0.0021). Ascending aortic length had a sensitivity of 61.9% and specificity of 77.8% for predicting aortic progression, with an area under the curve of 0.756 (95% confidence interval: 0.649-0.862). CONCLUSIONS: Ascending aortic elongation may identify a high-risk subgroup of acute type A intramural haematoma patients initially managed medically who could potentially benefit from early surgery. Ascending aortic length should be considered in the risk stratification and management of these patients.

Heterogeneity in peripheral blood immune lymphocyte subsets predicts the response of immunotherapy or chemoradiotherapy in advanced lung cancer: an analysis across different pathological types, treatment modalities and age.

Background: The shaping of the tumor immune microenvironment does not only rely on tumor-infiltrating lymphocytes but on the recruitment of lymphocytes in peripheral blood. Monitoring peripheral blood lymphocyte subsets level (PBLSL) can predict treatment response and prognosis with immune checkpoint inhibitors. This study investigated the heterogeneity of PBLSL in response to chemoradiotherapy (CRT) or combined with immunotherapy (CRIT) in advanced lung cancer patients. Methods: 77 patients with advanced lung cancer receiving CRT or CRIT were divided into treatment-responsive and non-responsive groups based on efficacy. The study analyzed short-term efficacy and progression-free survival (PFS) according to baseline PBLSL and explored the impact under different stratifications, including treatment modality, pathology type, and age. Results: In all patients, higher levels of B cells, higher CD4+/CD8+ T cell ratios, and lower CD8+ T cell levels were associated with better short-term outcomes (P = 0.0035, P = 0.044, P = 0.022). Subgroup analysis revealed that in the CRT group, higher B cell levels correlated with improved efficacy (P = 0.011) and superior PFS (P = 0.048, HR = 0.3886, 95% CI = 0.1696 to 0.8902). In the CRIT group, higher CD4+ T cell levels, lower CD8+ T cell levels, and higher CD4+/CD8+ T cell ratios were linked to better efficacy (P = 0.038, P = 0.047, P = 0.017). For adenocarcinoma patients, higher CD4+/CD8+ T cell ratios and lower CD8+ T cell levels predicted better efficacy (P = 0.0155, P = 0.0119). B cell levels were significant in squamous cell carcinoma (P = 0.0291), while no PBLSL was predictive for small cell lung cancer. Among patients under 65, higher B cell levels were linked to improved efficacy and prolonged PFS (P = 0.0036, P = 0.0332, HR = 0.4111, 95% CI = 0.1973 to 0.8563). For patients over 65, differences in CD4+ T cell levels and CD4+/CD8+ T cell ratios were significant (P = 0.0433, P = 0.0338). Conclusion: PBLSL predicted efficacy and prognosis in various patient stratifications, suggesting PBLSL is a reliable predictor for CRT and CRIT in advanced lung cancer. Detecting different cellular subpopulations helps identify patients with significant treatment responses across different stratifications.

Unexplained Rhabdomyolysis and Hepatic Renal Dysfunction: A Case of Bongkrekic Acid Poisoning.

Bongkrekic acid (BA) is a lipotoxin that can cause fatal food poisoning. Severe BA poisoning can rapidly progress from liver and kidney damage to multiple organ failure and is rarely manifested as persistent hypoglycemia and rhabdomyolysis. It has a high mortality rate and poor prognosis. However, clinical data on patients with foodborne BA poisoning are limited. The aim of this study is to summarize the characteristics of patients with BA poisoning, provide reference for early diagnosis and treatment, and improve the survival rate and prognosis of patients with BA poisoning.

Characterization of ligand-receptor pair in acute myeloid leukemia: a scoring model for prognosis, therapeutic response, and T cell dysfunction.

Introduction: The significance of ligand-receptor (LR) pair interactions in the progression of acute myeloid leukemia (AML) has been the focus of numerous studies. However, the relationship between LR pairs and the prognosis of AML, as well as their impact on treatment outcomes, is not fully elucidated. Methods: Leveraging data from the TCGA-LAML cohort, we mapped out the LR pair interactions and distinguished specific molecular subtypes, with each displaying distinct biological characteristics. These subtypes exhibited varying mutation landscapes, pathway characteristics, and immune infiltration levels. Further insight into the immune microenvironment among these subtypes revealed disparities in immune cell abundance. Results: Notably, one subtype showed a higher prevalence of CD8 T cells and plasma cells, suggesting increased adaptive immune activities. Leveraging a multivariate Lasso regression, we formulated an LR pair-based scoring model, termed "LR.score," to classify patients based on prognostic risk. Our findings underscored the association between elevated LR scores and T-cell dysfunction in AML. This connection highlights the LR score's potential as both a prognostic marker and a guide for personalized therapeutic interventions. Moreover, our LR.score revealed substantial survival prediction capacities in an independent AML cohort. We highlighted CLEC11A, ICAM4, ITGA4, and AVP as notably AML-specific. Discussion: qRT-PCR analysis on AML versus normal bone marrow samples confirmed the significant downregulation of CLEC11A, ITGA4, ICAM4, and AVP in AML, suggesting their inverse biomarker potential in AML. In summary, this study illuminates the significance of the LR pair network in predicting AML prognosis, offering avenues for more precise treatment strategies tailored to individual patient profiles.

A prediction nomogram for mortality in patients following wasp stings: a retrospective study.

Numerous studies have shown that wasp stings can lead to serious, sometimes fatal, health outcomes. Predicting deaths associated with wasp stings remains challenging yet is of critical importance. This study was conducted to identify predictors and develop a visual model for predicting mortality following wasp stings. Clinical data from 486 patients were analyzed, dividing them into two groups: survival group (N = 435) and death group (N = 51). Various statistical methods were used to create a prognostic model, including one-way analysis, the least absolute shrinkage and selection operator (LASSO) regression, and binary logistic regression. The model's accuracy was evaluated through ROC curves, calibration plots, and decision curve analysis (DCA). The study identified four key predictors of mortality: receiving more than 50 stings, having serum lactate dehydrogenase (LDH) levels of ≥ 2200 U/L, activated partial thromboplastin time (APTT) of ≥ 90 s, and the requirement for invasive mechanical ventilation within 24 h. These factors contributed to a model with an area under the ROC curve of 0.980 (95% CI: [0.968-0.992]), indicating high calibration and applicability. The decision curve analysis confirmed the model's substantial net clinical benefit. Thus, the number of stings, serum LDH, APTT, and the need for early invasive mechanical ventilation are reliable, independent predictors of death among patients experiencing wasp stings. The developed predictive model exhibits high levels of accuracy, sensitivity, consistency, and practical use.

Distinguishing clinical and imaging characteristics of primary central nervous system lymphoma from high-grade glioma and metastatic brain tumors.

OBJECTIVE: The purpose of this retrospective analysis was to evaluate the clinical presentations, radiological characteristics, patient outcomes, and therapeutic approaches among individuals diagnosed with primary central nervous system lymphoma (PCNSL), high-grade glioma (HGG), and metastatic brain tumors (METS). METHODS: We assembled a cohort of brain tumor patients from two medical centers, with two oncologists independently reviewing their clinical profiles. A retrospective examination of 87 PCNSL, 87 HGG, and 71 METS cases was performed to assess the aforementioned parameters. RESULTS: Notable variations were identified in the incidence of epileptic seizures and cognitive impairments between PCNSL and METS patients. Cerebral hemisphere involvement was predominantly observed in HGG and METS cases. PCNSL cases exhibited a higher likelihood of multiple lesions, whereas HGG showed a greater tendency for recurrence. The median survival times were established at 24.3 months for PCNSL, 44.5 months for HGG, and 27.1 months for METS patients. In PCNSL cases, the number of lesions was identified as a significant predictor of mortality (P = 0.008). CONCLUSIONS: Our findings highlight the importance of clinical and imaging features in diagnosing PCNSL, which may present distinct features compared to HGG and METS.

Construction of a combined prognostic model for pancreatic ductal adenocarcinoma based on deep learning and digital pathology images.

BACKGROUND: Deep learning has made significant advancements in the field of digital pathology, and the integration of multiple models has further improved accuracy. In this study, we aimed to construct a combined prognostic model using deep learning-extracted features from digital pathology images of pancreatic ductal adenocarcinoma (PDAC) alongside clinical predictive indicators and to explore its prognostic value. METHODS: A retrospective analysis was conducted on 142 postoperative pathologically confirmed PDAC cases. These cases were divided into training (n = 114) and testing sets (n = 28) at an 8:2 ratio. Tumor whole-slide imaging features were extracted and screened to construct a pathological risk model based on a pre-trained deep learning model. Clinical and pathological data from the training set were used to select independent predictive factors for PDAC and establish a clinical risk model using LASSO, univariate, and multivariate Cox regression analyses. Based on the pathological and clinical risk models, a combined model was developed. The Harrell concordance index (C-index) was computed to assess the predictive performance of each model for PDAC survival prognosis. RESULTS: For the training and testing sets, the C-index values for the clinical risk model were 0.76 and 0.75, respectively; for the pathological risk model, they were 0.82 and 0.73, respectively; and for the combined model, they were 0.86 and 0.77, respectively. The combined model exhibited appropriate calibration at 1-, 3-, and 5-year time points, as well as a superior area under the curve of the receiver operating characteristic curve and clinical net benefit compared to the single models. CONCLUSIONS: Integrating the pathological and clinical risk models may provide a higher predictive value for survival prognosis.

The signature of SARS-CoV-2-related genes predicts the immune therapeutic response and prognosis in breast cancer.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an exceptionally contagious single-stranded RNA virus with a strong positive contagion. The COVID-19 pandemic refers to the swift worldwide dissemination of SARS-CoV-2 infection, which began in late 2019. The COVID-19 epidemic has disrupted many cancer treatments. A few reports indicate that the prevalence of SARS-CoV-2 has disrupted the treatment of breast cancer patients (BCs). However, the role of SARS-CoV-2 in the occurrence and prognosis of BC has not been elucidated. Here, we applied bioinformatics to construct a prognostic signature of SARS-CoV-2-related genes (SCRGs). Specifically, weighted gene co-expression network analysis (WGCNA) was utilized to extract co-expressed genes of differentially expressed genes (DEGs) in breast cancer and SCRGs. Then, we utilized the least absolute shrinkage and selection operator (LASSO) algorithm and univariate regression analysis to screen out three hub genes (DCTPP1, CLIP4 and ANO6) and constructed a risk score model. We further analyzed tumor immune invasion, HLA-related genes, immune checkpoint inhibitors (ICIs), and sensitivity to anticancer drugs in different SARS-CoV-2 related risk subgroups. In addition, we have developed a nomination map to expand clinical applicability. The results of our study indicate that BCs with a high-risk score are linked to negative outcomes, lower immune scores, and reduced responsiveness to anticancer medications. This suggests that the SARS-CoV-2 related signature could be used to guide prognosis assessment and treatment decisions for BCs.

Significance of serum lncRNA XIST in chronic obstructive pulmonary disease and its progression to pulmonary heart disease.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) has become one of the major death-related causes. Chronic pulmonary heart disease (CPHD) is an adverse complication of COPD causing poor prognosis of patients. This study evaluated the role of lncRNA XIST in COPD and CPHD aiming to identify a potential biomarker for the screening and prediction of COPD. METHODS: The study enrolled 127 COPD patients, including 73 patients occurred CPHD with 76 healthy individuals as the control group. The expression of XIST was evaluated by PCR and compared between COPD patients with different severity, grades, and complications. The diagnostic and prognostic values of XIST in COPD and CPHD were assessed by ROC and Kaplan-Meier analyses. RESULTS: Significant upregulation of XIST was observed in the serum of COPD patients relative to healthy individuals, which distinguished COPD patients and showed a correlation with the respiratory and pulmonary function of COPD patients. COPD patients with acute exacerbations and CPHD showed a higher expression level. Increasing serum XIST discriminated COPD patients combined CPHD and positively correlated with right ventricular hypertrophy and pulmonary hypertension. Higher serum XIST levels could indicate the adverse 3-year prognosis of COPD patients, especially for COPD patients combined with CPHD. CONCLUSION: Upregulated XIST served as a biomarker for screening COPD and predicting adverse prognosis of COPD and COPD patients with CPHD.

Age and blood pressure stratified healthy vascular aging, organ damage and prognosis in the community-dwelling elderly: insights from the North Shanghai Study.

BACKGROUND: This study aimed to investigate the prognostic value of age and blood pressure stratified healthy vascular aging (HVA) defined in the North Shanghai Study (NSS), and illustrate its relationship with organ damage (OD). METHODS: This study enrolled 3590 community-dwelling elderly Chinese aged over 65 years and finally 3234 participants were included. 3230 individuals were included in the final analysis, with 4 participants lost to follow-up. NSS HVA was defined as low carotid-femoral pulse wave velocity (PWV) which had a higher cutoff value with advanced age and level of blood pressure. OD was thoroughly assessed and classified into vascular, cardiac and renal OD. Primary endpoints were major adverse cerebrocardiovascular events (MACCE) and all-cause mortality. RESULTS: Nine hundred seventy-eight participants out of 3234 participants (43.1%) were identified as having NSS HVA. The NSS HVA group exhibited a younger age, lower blood pressure levels, lower body mass index, and milder OD compared to the non-NSS HVA group. Over follow-up of 5.7 ± 1.8 years, 332 MACCE (1.82 per 100 person-year) and 212 all-cause deaths (1.14 per 100 person -year) occurred. NSS HVA was associated with a reduced risk of MACCE (HR [95% CI] = 0.585, 0.454-0.754) and all-cause death (HR [95%CI] = 0.608 [0.445, 0.832]), especially in those subgroups without clinical diagnosed cardiovascular disease (CVD) or diabetes mellitus but with at least one type of OD. Moreover, NSS HVA exhibited improved prognostic value for MACCE, all-cause death and CVD death compared to other definitions of HVA. CONCLUSIONS: Age and blood pressure stratified NSS HVA could serve as an improved indicator against serious adverse events in the community-dwelling elderly Chinese. TRIAL REGISTRATION: Prognosis in the Elderly Chinese: The Northern Shanghai Study (NSS), NCT02368938, https://clinicaltrials.gov/study/NCT02368938?cond=NCT02368938&rank=1 .

Prognostic impact of peritoneal cytology on treating endometrial cancer using data from the Japan Society of Obstetrics and Gynecology cancer registry.

OBJECTIVE: The prognostic value and clinical usage of peritoneal cytology in endometrial cancer are uncertain. This study aimed to determine whether positive cytology is associated with the prognosis for endometrial cancer. METHODS: A Japanese nationwide retrospective registry study was conducted between 2012 and 2019. Clinicopathological data were analyzed for patients who were registered in the Japan Society of Obstetrics and Gynecology (JSOG) gynecological tumor registry and underwent initial treatment for endometrial cancer. RESULTS: In total, 83,027 patients who met the inclusion criteria were identified. Data on peritoneal cytology status and overall survival (OS) were available for 74,984 and 36,995 patients, respectively. Positive peritoneal cytology was found in 11,536 (15.4%) patients. A higher proportion of patients who had positive peritoneal cytology were related to advanced stages, high-grade histology, deep myometrial invasion, lymph node (LN) metastasis, and poor risk of recurrence. After controlling for age, stage, myometrial invasion, LN metastasis, distant metastasis, and risk of recurrence, positive peritoneal cytology was associated with poor prognosis (p<0.001). Multivariate Cox regression analysis revealed that clinicopathological factors (i.e., age, International Federation of Gynecology and Obstetrics stage, histological type, myometrial invasion, LN metastasis, distant metastasis, and peritoneal cytology), including positive peritoneal cytology, were also significant prognostic factors for OS. CONCLUSION: Positive peritoneal cytology was a prognostic factor for endometrial cancer for the JSOG gynecological tumor registry.

Beclin-1 and LC3B expression in canine mast cell tumours: an immuno-ultrastructural and immunohistochemical study of autophagy.

Mast cell tumours (MCTs) are common malignant neoplasms in dogs, for which prognosis and therapeutic decisions are based on histological features and proliferation markers. Autophagy is a cellular catabolic process responsible for degrading cytoplasmic components to maintain homeostasis, alterations in which are frequently linked to tumour growth and progression. This study was conducted to investigate the occurrence of autophagy in canine MCTs and to verify its value as a prognostic indicator for dogs with the disease. Beclin-1 and LC3B expressions were investigated using immunohistochemistry, and autophagy was ultrastructurally characterised. The autophagic phenomenon was successfully visualised in neoplastic mast cells under transmission electron and immunoelectron microscopy. MCTs from dogs that died due to the disease showed higher positivity for Beclin-1 and dogs with MCTs presenting a LC3B granular immunohistochemical pattern had a significantly shorter post-surgical survival. The occurrence of autophagy is an indicator of poor prognosis. Future studies are needed to elucidate the specific mechanisms and open new opportunities to treatments targeting this cancer cell advantage.

Fibrin-associated diffuse large B-cell lymphoma in the aortic valve and ascending aorta.

Primary cardiac lymphoma is an extremely rare disease, with the most common being diffuse large B-cell lymphoma (DLBCL). Fibrin-associated diffuse large B-cell lymphoma (FA-DLBCL) has been classified as a rare and unusual type of lymphoma and is included in the category of DLBCL associated with chronic inflammation (DLBCL-CI). In this study, we report a case of FA-DLBCL in the aortic valve and ascending aorta of a 51-year-old-woman. Learning objective: In this rare case of FA-DLBCL in the aortic valve and ascending aorta, we highlight the features of FA-DLBCL and its differences from DLBCL-CI.

Gamma-Glutamyl Transpeptidase to Neutrophil Ratio as Prognostic Indicator for Hepatocellular Carcinoma Patients Post-Curative Resection.

Background: The close association between inflammation and the clinical outcomes of hepatocellular carcinoma (HCC) has been extensively documented. This study aims to analyze the association between a novel inflammatory indicator, the gamma-glutamyl transpeptidase to neutrophil ratio (GNR), and HCC prognosis following curative resection. Methods: A cohort of 204 eligible HCC cases were included. Based on an optimal cut-off value determined utilizing the X-tile software, patients were categorized into low- and high-GNR groups. The overall survival (OS) and recurrence-free survival (RFS) rates were assessed using the Kaplan-Meier analysis method with Log rank tests. Multivariate Cox proportional hazard regression was used to investigate the independent association between GNR and HCC prognosis. Restricted cubic splines were used to explore the nonlinear relationship between GNR and the risk of death or recurrence. Results: The low GNR group exhibited significantly higher 3-year OS and RFS rates than the high GNR group. Multivariate Cox analysis indicated that a high GNR level was independently associated with poor OS and RFS. A linear correlation between GNR and the risk of death, as well as a nonlinear inverted "U" shape correlation between GNR and the risk of recurrence, were observed. Conclusion: The findings provide evidence supporting the independent association of GNR with HCC prognosis. These results offer promise for enhancing prognosis assessments and guiding active monitoring strategies for patients with HCC post-curative resection.