Analysis of the Relationship Between Primary Tumor Site and Clinicopathological Characteristics and Survival Prognosis of Breast Cancer Patients Based on SEER Database.

PURPOSE: This study aimed to analyze the association between the primary tumor site and clinicopathological characteristics and survival prognosis of breast cancer (BC) patients using a large population database. METHODS: BC patients screened in the Surveillance, Epidemiology, and End Results (SEER) database were categorized into 6 groups based on primary sites. Descriptive statistics, Kaplan-Meier curves, Cox regression models, forest plots were used to assess the effect of primary sites on overall survival (OS) and breast cancer-specific survival (BCSS). Multivariate Cox proportional analyses were conducted to calculate hazard ratios (HRs) and adjusted subgroups' hazard ratios (AHRs). Nomograms were utilized to predict OS and BCSS. RESULTS: Among 193,043 BC patients, the highest incidence was found in the upper outer quadrant (52.60%). Central portion patients are associated with more clinical features indicating a poor prognosis, and had worse OS and BCSS than other sites. Univariate and multifactorial Cox analyses showed associations between OS/BCSS and various factors. Subgroup analyses revealed differences in OS and BCSS between central portion and upper outer quadrant varied among age, T and N stage. The nomogram was established to predict the survival of central portion BC patients. CONCLUSIONS: Primary tumor site is associated with clinicopathological features and prognosis of BC, may be influenced by age at diagnosis and T and N stage. Central portion BC patients have worse prognosis due to older age at diagnosis, higher T stage and higher likelihood of lymph node metastasis. Early diagnosis and treatment may help to improve survival of central portion BC.

AI-powered prediction of HCC recurrence after surgical resection: Personalised intervention opportunities using patient-specific risk factors.

BACKGROUND: Hepatocellular carcinoma (HCC) recurrence following surgical resection remains a significant clinical challenge, necessitating reliable predictive models to guide personalised interventions. In this study, we sought to harness the power of artificial intelligence (AI) to develop a robust predictive model for HCC recurrence using comprehensive clinical datasets. METHODS: Leveraging data from 958 patients across multiple centres in Australia and Hong Kong, we employed a multilayer perceptron (MLP) as the optimal classifier for model generation. RESULTS: Through rigorous internal cross-validation, including a cohort from the Chinese University of Hong Kong (CUHK), our AI model successfully identified specific pre-surgical risk factors associated with HCC recurrence. These factors encompassed hepatic synthetic function, liver disease aetiology, ethnicity and modifiable metabolic risk factors, collectively contributing to the predictive synergy of our model. Notably, our model exhibited high accuracy during cross-validation (.857 ± .023) and testing on the CUHK cohort (.835), with a notable degree of confidence in predicting HCC recurrence within accurately classified patient cohorts. To facilitate clinical application, we developed an online AI digital tool capable of real-time prediction of HCC recurrence risk, demonstrating acceptable accuracy at the individual patient level. CONCLUSION: Our findings underscore the potential of AI-driven predictive models in facilitating personalised risk stratification and targeted interventions to mitigate HCC recurrence by identifying modifiable risk factors unique to each patient. This model aims to aid clinicians in devising strategies to disrupt the underlying carcinogenic network driving recurrence.

Survival and pulmonary function in stage IA non-small cell lung cancer after sublobar resection versus lobectomy: An updated meta-analysis.

Traditionally, lobectomy was standard for stage IA non-small-cell lung cancer (NSCLC). Recent RCTs suggest sublobar resection's comparable outcomes. Our meta-analysis, incorporating 30 studies (including four RCTs), assessed sublobar resection's efficacy. Employing a random-effects model and I2 statistics for heterogeneity, we found sublobar resection reduced DFS (HR 1.31, p < 0.01) and OS (HR 1.27, p < 0.01) overall. However, RCT subgroup analysis showed no significant differences in DFS (p = 0.28) or OS (p = 0.62). Sublobar resection is a viable option for well-selected patients.

Cadmium and phthalate impacts developmental growth and mortality of Spodoptera littoralis, but not reproductive success.

Our environment is increasingly polluted with various molecules, some of which are considered endocrine disruptors. Metals and phthalates, originating from industrial activities, agricultural practices, or consumer products, are prominent examples of such pollutants. We experimentally investigated the impacts of the heavy metal cadmium and the phthalate DEHP on the moth Spodoptera littoralis. More specifically, larvae were reared in laboratory conditions, where they were exposed to diets contaminated with either two doses of cadmium at concentrations of 62.5 µg/g or 125 µg/g, two doses of DEHP at 100 ng/g and 10 µg/g, or a combination of both low and high doses of the two compounds, with a control group for comparison. Our findings indicate that cadmium delays the developmental transition from larva to adult. Notably, the combination of cadmium and DEHP exacerbated this delay, highlighting a synergistic effect. In contrast, DEHP alone did not affect larval development. Additionally, we observed that cadmium exposure, both alone and in combination with DEHP, led to a lower mass at all larval stages. However, cadmium-exposed individuals that reached adulthood eventually reached a similar mass to those in other groups. Interestingly, while our results did not show any effect of the treatments on hatching success, there was a higher adult mortality rate in the cadmium-treated groups. This suggests that while moths may prioritize reproductive success, their survival at the adult stage is compromised by cadmium exposure. In conclusion, our study demonstrates the impact of cadmium on the development, mass, and adult survival of moths, and reveals synergistic effects when combined with DEHP. These results confirm cadmium as an endocrine disruptor, even at low doses. These insights underscore the importance of understanding the toxicological effects of low doses of pollutants like cadmium and DEHP, both individually and in combination.

Predictive value of invasive mechanical ventilation parameters for mortality in COVID-19 related ARDS: a retrospective cohort study.

The 2019 coronavirus (COVID-19) can generate acute respiratory distress syndrome (ARDS), requiring advanced management within the Intensive Care Unit (ICU) using invasive mechanical ventilation (IMV However, managing this phenomenon has seen learning and improvements through direct experience. Therefore, this study aims were to describe the assessment of the different IMV variables in patients with post-COVID-19 hospitalized in the ICU and their relation with mortality. Observational and retrospective study. The sample was divided into two, the surviving group (SG) and the non-surviving group (NSG). Clinical data were extracted from the electronic clinical file and the respiratory therapist record sheet. The following information was obtained: Patient medical history: gender, age, co-morbidities, arterial gases, days on IMV, and IMV parameters. Out of a total of 101 patients, the total mortality was 32%. There was a significant decrease in respiratory rate (RR) (29.12 ± 4.24-26.78 ± 3.59, p = 0.006), Driving pressure (DP) (11.33 ± 2.39-9.67 ± 1.84, p = 0.002), Ventilatory rate (VR) (2.26 ± 0.66-1.89 ± 0.45, p = 0.001) and a significant rise in Static compliance (Cest) (35.49 ± 8.64-41.45 ± 9.62, p = 0.003) and relation between Arterial oxygen pressure/Inspirated oxygen fraction (PaO2/FiO2) (201.5 ± 53.98- 227.8 ± 52.11, p = 0.008) after 72 h of IMV, within the NSG compared to the SG. Apart from these points, multi-morbidity (HR = 3.208, p = 0.010) and DP (HR = 1.228, p = 0.030) and VR variables (HR = 2.267, p = 0.027) had more death probabilities. The results of this study indicate that there was a significant increase in RR, DP, VR, and CO2 and a significant drop in Cest and PaO2/FiO2 among the NSG compared with the SG. Apart from this, the DP and VR variables, multi-morbidity and being male. have more possibility of death.

Effectiveness of nurse-led fever, sugar-hyperglycemia, and swallowing bundle care on clinical outcome of patients with stroke at a tertiary care center: A randomized controlled trial.

Objectives: Stroke is a medical emergency, the leading cause of death, and a significant cause of disability in developing countries. The primary goals of stroke management focus on reducing disability, which needs prompt treatment in time. Fever, sugar-hyperglycemia, and swallowing (FeSS) bundle are a promising nurse-led composite for reducing disability and death. The present study aims to assess the effect of FeSS bundle care on disability, functional dependency, and death among acute stroke patients. Materials and Methods: A randomized controlled trial was conducted among 104 acute stroke patients, who were admitted within the first 48 h of stroke symptoms and had no previous neurological deficits. Randomization was stratified based on gender and type of stroke. The intervention group received FeSS bundle care, which included nurse-led fever and sugar management for the first 72 h, and a swallowing assessment done within the first 24 h or before the first oral meal. A follow-up assessment was done after 90 days to assess the disability, functional dependency, and mortality status using a modified Rankin scale and Barthel index. Results: No significant difference was noted in the 90-day disability and functional dependency between the groups. A reduction in mortality was noted in the intervention group. The risk ratio for mortality between groups was 2.143 (95% confidence interval: 0.953-4.820). Conclusion: Although no significant reduction in disability, there was a reduction in mortality in the intervention group. Hence, the study suggested the promotion of nurse-led intervention using the FeSS bundle in stroke units.

Long-term functional outcomes in patients undergoing radical nephrectomy for renal cell carcinoma and tumor thrombus.

BACKGROUND: Up to 15% of patients with locally advanced renal cell carcinoma (RCC) harbors tumor thrombus (TT). In those cases, radical nephrectomy (RN) and thrombectomy represents the standard of care. We assessed the impact of TT on long-term functional and oncological outcomes in a large contemporary cohort. METHODS: Within a prospective maintained database, 1207 patients undergoing RN for non-metastatic RCC between 2000 and 2021 at a single tertiary centre were identified. Of these, 172 (14%) harbored TT. Multivariable logistic regression analyses evaluated the impact of TT on the risk of postoperative acute kidney injury (AKI). Multivariable Poisson regression analyses estimated the risk of long-term chronic kidney disease (CKD). Kaplan Meier plots estimated disease-free survival and cancer specific survival. Multivariable Cox regression models assessed the main predictors of clinical progression (CP) and cancer specific mortality (CSM). RESULTS: Patients with TT showed lower BMI (24 vs. 26 kg/m2) and preoperative Hb (11 vs. 14 g/mL; all-p < 0.05). Clinical tumor size was higher in patients with TT (9.6 vs. 6.5 cm; p < 0.001). After adjusting for potential confounders, the presence of TT was significantly associated with a higher risk of postoperative AKI (OR 2.03, 95% CI 1.49-3.6; p < 0.001) and long-term CKD (OR: 1.32, 95% CI 1.10-1.58; p < 0.01). Notably, patients with TT showed worse long-term oncological outcomes and TT was a predictor for CP (2.02, CI 95% 1.49-2.73, p < 0.001) and CSM (HR 1.61, CI 95% 1.04-2.49, p < 0.03). CONCLUSIONS: The presence of TT in RCC patients represents a key risk factor for worse perioperative, as well as long-term renal function. Specifically, patients with TT harbor a significant and early estimated glomerular filtration rate (eGFR) decrease. However, despite TT patients show a greater eGFR decline after surgery, they retain acceptable renal function, which remains stable over time.

Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study.

PURPOSE: This multicenter retrospective study aims to identify reliable clinical and radiomic features to build machine learning models that predict progression-free survival (PFS) and overall survival (OS) in pancreatic ductal adenocarcinoma (PDAC) patients. METHODS: Between 2010 and 2020 pre-treatment contrast-enhanced CT scans of 287 pathology-confirmed PDAC patients from two sites of the Hopital Universitaire de Bruxelles (HUB) and from 47 hospitals within the HUB network were retrospectively analysed. Demographic, clinical, and survival data were also collected. Gross tumour volume (GTV) and non-tumoral pancreas (RPV) were semi-manually segmented and radiomics features were extracted. Patients from two HUB sites comprised the training dataset, while those from the remaining 47 hospitals of the HUB network constituted the testing dataset. A three-step method was used for feature selection. Based on the GradientBoostingSurvivalAnalysis classifier, different machine learning models were trained and tested to predict OS and PFS. Model performances were assessed using the C-index and Kaplan-Meier curves. SHAP analysis was applied to allow for post hoc interpretability. RESULTS: A total of 107 radiomics features were extracted from each of the GTV and RPV. Fourteen subgroups of features were selected: clinical, GTV, RPV, clinical & GTV, clinical & GTV & RPV, GTV-volume and RPV-volume both for OS and PFS. Subsequently, 14 Gradient Boosting Survival Analysis models were trained and tested. In the testing dataset, the clinical & GTV model demonstrated the highest performance for OS (C-index: 0.72) among all other models, while for PFS, the clinical model exhibited a superior performance (C-index: 0.70). CONCLUSIONS: An integrated approach, combining clinical and radiomics features, excels in predicting OS, whereas clinical features demonstrate strong performance in PFS prediction.

Using Age-Specific Rates for Parametric Survival Function Estimation in Simulation Models.

PURPOSE: To describe a procedure for incorporating parametric functions into individual-level simulation models to sample time to event when age-specific rates are available but not the individual data. METHODS: Using age-specific event rates, regression analysis was used to parametrize parametric survival distributions (Weibull, Gompertz, log-normal, and log-logistic), select the best fit using the R2 statistic, and apply the corresponding formula to assign random times to events in simulation models. We used stroke rates in the Spanish population to illustrate our procedure. RESULTS: The 3 selected survival functions (Gompertz, Weibull, and log-normal) had a good fit to the data up to 85 y of age. We selected Gompertz distribution as the best-fitting distribution due to its goodness of fit. CONCLUSIONS: Our work provides a simple procedure for incorporating parametric risk functions into simulation models without individual-level data. HIGHLIGHTS: We describe the procedure for sampling times to event for individual-level simulation models as a function of age from parametric survival functions when age-specific rates are available but not the individual dataWe used linear regression to estimate age-specific hazard functions, obtaining estimates of parameter uncertainty.Our approach allows incorporating parameter (second-order) uncertainty in individual-level simulation models needed for probabilistic sensitivity analysis in the absence of individual-level survival data.

Impact of the COVID-19 Pandemic on the Long-Term Prognosis of Acute Myocardial Infarction in Japan.

Background During the early phase of the coronavirus disease 2019 (COVID-19) pandemic, a global reduction in hospitalizations for acute myocardial infarction (AMI) was observed. Generally, patients experienced increased severity of AMI with delays in time from symptom onset to treatment during the pandemic. However, the impact of the COVID-19 pandemic on in-hospital mortality among patients with AMI remains unclear. This study aimed to compare the long-term prognosis of patients with AMI during the COVID-19 pandemic to that observed in the pre-pandemic period and to evaluate the influence of the COVID-19 pandemic on the prognosis of patients with AMI. Methods We reviewed the data of patients admitted to our hospital for AMI treatment between April 1, 2018, and March 31, 2021. The time from admission to major adverse cardiac events (MACE), as well as the time from admission to all-cause death, were examined between the pandemic period (April 1, 2020, to March 31, 2021) and the pre-pandemic period (April 1, 2018, to March 31, 2020). Results Eighty patients were included in the study, and those admitted during the pandemic exhibited a higher likelihood of advanced age, lower levels of LDL-cholesterol, and a reduced prevalence of hypertension. The 2.5-year MACE-free survival and overall survival rates between the patients during the pre-pandemic and pandemic periods were not significantly different. Conclusion The long-term prognosis of patients with AMI during the COVID-19 pandemic remains unclear. In this study, we reported that the 2.5-year MACE-free survival and overall survival rates of the patients with AMI admitted during the COVID-19 pandemic were not significantly different from those during the pre-pandemic period. The impact of the COVID-19 pandemic on the prognosis of patients with AMI appears to vary according to the study population.

Survival of patients with chronic acid sphingomyelinase deficiency (ASMD) in the United States: A retrospective chart review study.

Background: Acid sphingomyelinase deficiency (ASMD), historically known as Niemann-Pick disease type A, A/B, and B, is a rare lysosomal storage pathology with multisystemic clinical manifestations. The aims of this study were to estimate the survival probability in patients in the United States with chronic ASMD (ASMD types B and A/B), and to describe the disease characteristics of these patients. Methods: This observational retrospective study included medical chart records of patients with chronic ASMD with retrievable data abstracted by 69 participating physicians from 25 medical centers in the United States. Included patients had a date of ASMD diagnosis or first presentation to a physician for ASMD symptoms (whichever occurred first) between January 01, 1990, and February 28, 2021. Medical chart records were excluded if patients were diagnosed with ASMD type A. Eligible medical chart records were abstracted to collect demographic, medical and developmental history, and mortality data. Survival outcomes were analyzed using Kaplan-Meier survival analyses from birth until death. Results: The overall study population (N = 110) included 69 patients with ASMD type B, nine with type A/B, and 32 with ASMD "non-type A" (ASMD subtype was unknown, but patients were confirmed as not having ASMD type A). The majority of patients were male with a median age at diagnosis of 3.8 years. Thirty-eight patients died during the study observation period, at a median age of 6.8 years. The median (95% confidence interval) survival age from birth was 21.3 (10.2; 60.4) years. At diagnosis or first presentation, 42.7% patients had ≥1 ASMD-related complication; splenic (30.0%) and hepatobiliary (20.9%) being the most common, and 40.9% required ≥1 medical visit due to complications. Conclusion: Patients with chronic ASMD in the United States have poor survival and significant burden of illness.

Overall Survival of Metastatic Prostate Cancer Patients According to Location of Visceral Metastatic Sites.

INTRODUCTION: It is unknown whether specific locations of visceral metastatic sites affect overall survival (OS) of metastatic prostate cancer (mPCa) patients. We tested the association between specific locations of visceral metastatic sites and OS in mPCa patients. MATERIALS AND METHODS: Within Surveillance, Epidemiology and End Results database (2010-2016), survival analyses relied on specific locations of visceral metastases: lung only vs. liver only vs. brain only vs. ≥2 visceral sites. Kaplan-Meier plots and Cox regression models were fitted. RESULTS: Of 1827 patients, 1044 (57%) harbored lung only visceral metastases vs. 457 (25%) liver only vs. 131 (7%) brain only vs. 195 (11%) ≥2 visceral sites. Median OS was 22 months in all patients vs. 33 months in lung only vs. 15 months in liver only vs. 16 months in brain only vs. 15 months in patients with ≥2 visceral sites. Highest OS was recorded in lung only visceral metastases patients, especially when concomitant nonvisceral metastases were located in lymph nodes only (median OS 57 months) vs. bone only (26 months) vs. lymph nodes and bone (28 months). Liver only, brain only or ≥2 visceral sites exhibited poor OS, regardless of concomitant nonvisceral metastases type (median OS from 13 to 19 months). CONCLUSION: In mPCa patients, lung only visceral metastases, especially when associated with lymph node only nonvisceral metastases, portend the best prognosis. Conversely, visceral metastatic sites other than lung portend poor prognosis, regardless of concomitant nonvisceral metastases type.

Efficacy and Safety of Darolutamide in Combination With Androgen-Deprivation Therapy and Docetaxel in Black Patients From the Randomized ARASENS Trial.

BACKGROUND: In the ARASENS trial (NCT02799602), darolutamide in combination with androgen-deprivation therapy (ADT) and docetaxel significantly reduced the risk of death by 32.5% (HR, 0.68; 95% CI, 0.57-0.80; P < .0001) compared with placebo plus ADT with docetaxel in patients with metastatic hormone-sensitive prostate cancer (mHSPC). We present efficacy and safety of darolutamide versus placebo in Black patients from ARASENS. PATIENTS AND METHODS: Patients with mHSPC were randomized 1:1 to darolutamide 600 mg or placebo twice daily in combination with ADT and docetaxel. The primary endpoint was overall survival. Key secondary endpoints included time to castration-resistant prostate cancer (CRPC) and safety. RESULTS: In ARASENS, 54 Black patients received darolutamide (n = 26) or placebo (n = 28) plus ADT and docetaxel. In Black patients, overall survival favored darolutamide versus placebo (median, not reached vs. 38.7 months; stratified HR, 0.41; 95% CI, 0.17-1.02), with 4-year survival rates of 62% versus 41%. The darolutamide group also had longer time to CRPC compared with the placebo group (median, not reached vs .12.6 months; HR, 0.09; 95% CI, 0.02-0.30). The safety profile of darolutamide in Black patients was consistent with that observed for the overall ARASENS population (grade 3/4 treatment-emergent adverse events, TEAEs: 61.5% vs. 66.1%; serious TEAEs: 42.3% vs. 44.8%). CONCLUSION: In this small population of Black patients with mHSPC from the ARASENS trial, darolutamide was associated with an improvement in survival and time to CRPC and was well tolerated. Efficacy and safety findings in Black patients were consistent with the overall ARASENS population.

Periodontitis and systemic inflammation as independent and interacting risk factors for mortality: evidence from a prospective cohort study.

BACKGROUND: Recent studies have highlighted the role of low-grade systemic inflammation in linking periodontitis to cardiovascular disease (CVD) outcomes, but many aspects remain unclear. This study examines the independent and reciprocal associations of periodontitis and low-grade systemic inflammation with all-cause and CVD mortality in a large-scale cohort. METHODS: A total of 3047 participants from the prospective, population-based Study of Health in Pomerania (SHIP-START) were followed for a period of 13.0 ± 2.4 years. For the association between various inflammation/periodontitis measures and mortality, hazard ratios (HRs) were obtained from covariate-adjusted Cox proportional hazards models. Interactions were analysed in joint models: on the multiplicative scale, HRs were reported and on the additive scale, relative excess risks due to interaction (RERI) were calculated. Subject and variable-specific interval records were used to account for time-varying exposures and covariates. RESULTS: During the observation period, 380 (12.5%) individuals died from CVD (n = 125) or other causes (n = 255). All markers of periodontitis and inflammation showed apparent associations with all-cause mortality (HRs per SD-increase: mean PPD: 1.068 (95% confidence interval (CI): 0.988-1.155), mean CAL: 1.205 (95% CI: 1.097-1.323), missing teeth: 1.180 (95% CI: 1.065-1.307), periodontitis score: 1.394 (95% CI: 1.202-1.616), leukocytes: 1.264 (95% CI: 1.163-1.374), fibrinogen: 1.120 (95% CI: 1.030-1.218), CRP: 1.231 (95% CI: 1.109-1.366), inflammation score: 1.358 (95% CI: 1.210-1.523)). For CVD mortality, all PPD related variables showed significant associations. Interaction modelling revealed some variation with respect to mortality type and exposure combinations. On the additive scale, RERIs for periodontitis score and inflammation score implied 18.9% and 27.8% excess mortality risk for all-cause and CVD mortality, respectively. On the multiplicative scale, the HRs for interaction were marginal. CONCLUSIONS: Both periodontitis and inflammation were significantly associated with all-cause mortality and CVD mortality. On the additive scale, a substantial excess risk was observed due to the interaction of periodontitis and inflammation, suggesting that the greatest treatment benefit may be achieved in patients with both periodontitis and high systemic inflammation. As periodontal therapy has been reported to also reduce systemic inflammation, the possibility of a reduction in CVD mortality risk by anti-inflammatory treatments, including periodontal interventions, seems worthy of further investigation.

Long-term survival comparison between the first and second waves among 265 critical COVID-19 patients admitted to the ICU: A retrospective cohort study.

BACKGROUD: Management of severe COVID-19 patients admitted to ICU considerably evolved during the first months of the pandemic. It is unclear, however, whether these changes improved long-term survival of these critically ill patients. METHODS: We conducted a retrospective cohort study in adults with COVID-19 pneumonia admitted to a French ICU between February 2020 and January 2021, a timeframe that covered the first two waves of the pandemic. Primary outcome was to compare long-term survival between the first and second waves. Survival predictor were identified using a Cox proportional-hazards model. RESULTS: We included 265 patients in the cohort: 140 (52.8 %) and 125 (47.2 %) belonging to the first and second waves, respectively. Baseline characteristics of the patients were similar between the two waves. During W2, use of early corticotherapy increased (86.4% vs. 17.8 %; p <0.001), as well as high-flow oxygen therapy use (68.5% vs. 37.4 %; p<0.001). Need for invasive mechanical ventilation decreased (49.6% vs. 72.9 %; p <0.001) and ICU length of stay was shorter (11 [6-22] vs 19 [8-32]days; p = 0.008). ICU mortality was 32.8 % without significant difference between waves. Survival analysis revealed that 3 variables were independently associated with a worse long-term prognosis: a higher SAPS II score (1.05 [1.04-1.06]; p<0.001), a higher age (1.05 [1.01-1.08]; p = 0.005) and admission during W2 (2.22 [1.15-4.28]; p = 0.017). DISCUSSION: Despite substantial changes on management of severe COVID-19 patients, we observed a decreased long-term survival among patients admitted during the second wave. We also noted a shorter ICU length of stay.

Heart and systemic sclerosis-findings from a national cohort study.

OBJECTIVES: Heart involvement is one of the leading causes of death in systemic sclerosis (SSc). The prevalence of SSc-related cardiac involvement is poorly known. Our objective was to investigate the prevalence and prognosis burden of different heart diseases in a nationwide cohort of patients with SSc. METHODS: We used data from a multicentric prospective study using the French SSc national database. Focusing on SSc-related cardiac involvement, we aimed to determine its incidence and risk factors. RESULTS: Over the 3528 patients with SSc 312 (10.9%) had SSc-related cardiac involvement at baseline. They tended to have a diffuse SSc subtype more frequently, more severe clinical features, and presented more cardiovascular risk factors. From the 1646 patients available for follow-up analysis, SSc-related cardiac involvement was associated with an increased risk of death. There was no significant difference in overall survival between SSc-related cardiac involvement, ischaemic heart disease or pulmonary arterial hypertension. Regarding survival analysis, 98 patients developed SSc-related cardiac involvement at five years (5-year event rate: 11.15%). Regarding reduced LVEF < 50% and left ventricular diastolic dysfunction, the 5-year event rate was 2.49% and 5.84% respectively. Pericarditis cumulative incidence at five years was 3%. Diffuse SSc subtype was a risk factor for SSc-related cardiac involvement and pericarditis. Female sex was associated with less left ventricular diastolic dysfunction incidence. CONCLUSIONS: Our results describe the incidence and prognostic burden of SSc-related cardiac involvement at a large scale, with gender and diffuse SSc subtype as risk factors. Further analyses should assess the potential impact of treatment on these various cardiac outcomes.

Association of body mass index with clinicopathological features and survival in patients with primary invasive lobular breast cancer.

PURPOSE: Invasive lobular carcinoma (ILC) represents up to 15% of all breast carcinomas. While the proportion of women with overweight and obesity increases globally, the impact of body mass index (BMI) at primary diagnosis on clinicopathological features of ILC and the prognosis of the patients has not been investigated yet. PATIENTS AND METHODS: We performed a multicentric retrospective study including patients diagnosed with non-metastatic pure ILC. The association of BMI at diagnosis with clinicopathological variables was assessed using linear or multinomial logistic regression. Univariable and multivariable survival analyses were performed to evaluate the association of BMI with disease-free survival (DFS), distant recurrence-free survival (DRFS), and overall survival (OS). RESULTS: The data of 2856 patients with ILC and available BMI at diagnosis were collected, of which 2570/2856 (90.0%) had oestrogen receptor (ER)-positive and human epidermal growth factor receptor (HER2) not amplified/overexpressed (ER+/HER2-) ILC. Of these 2570 patients, 80 were underweight (3.1%), 1410 were lean (54.9%), 712 were overweight (27.7%), and 368 were obese (14.3%). Older age at diagnosis, a higher tumour grade, a larger tumour size, a nodal involvement, and multifocality were associated with a higher BMI. In univariable models, higher BMI was associated with worse outcomes for all end-points (DFS: hazard ratio (HR) 1.21, 95CI 1.12-1.31, p value<0.01; DRFS: HR 1.25, 95CI 1.12-1.40, p value<0.01; OS: HR 1.25, 95CI 1.13-1.37, p value<0.01). This association was not statistically significant in multivariable analyses (DFS: HR 1.09, 95CI 0.99-1.20, p value 0.08; DRFS: HR 1.03, 95CI 0.89-1.20, p value 0.67; OS: HR 1.11, 95CI 0.99-1.24, p value 0.08), whereas grade, tumour size, and nodal involvement were still prognostic for all end-points. CONCLUSION: Worse prognostic factors such as higher grade, larger tumour size, and nodal involvement are associated with higher BMI in ER+/HER2- ILC, while there was no statistical evidence for an independent prognostic role for BMI. Therefore, we hypothesise that the effect of BMI on survival could be mediated through its association with these clinicopathological variables.

Impact of First Line Antiangiogenic Therapy Duration on Nivolumab Outcome in Metastatic Renal Cell Carcinoma Patients Treated in the GETUG-AFU 26 NIVOREN.

BACKGROUND: In metastatic renal clear cell carcinoma (ccRCC), vascular endothelial growth factor receptor (VEGFR) and immune checkpoint are 2 main therapeutic targets. We investigated the impact of duration exposure to antiangiogenic on immunotherapy clinical outcomes in metastatic ccRCC. METHODS: Patients from NIVOREN trial who received nivolumab after only 1 prior antiangiogenic therapy were included. Response rate, clinical benefit, progression free survival (PFS) and overall survival (OS) were prospectively analyzed depending on the duration of the first line (< 6 months, ≥6 months) and exploratory in patients with long first line exposure (≥18 months). The circulating levels of 8 plasma proteins and cytokines at baseline were collected and compared according to first line antiangiogenic duration. RESULTS: Among 354 patients, 127 (36%) and 227 (64%) patients had received first line antiangiogenic for < 6months and ≥ 6months respectively. Respective duration of first line therapy was not associated with objective response to nivolumab (20.5% vs. 23.9%, P = .50), or PFS (HR 0.92; P = .421). Median OS was respectively 16.6 and 31.3 months in the <6 and ≥6 months subgroups respectively. Adjusted on international metastatic renal cell carcinoma database consortium risk, age and metastatic site, OS was longer in patients with longer treatment duration in the first line setting (HR 0.73; P = .017). Duration of first line VEGFR TKI was independent from circulating levels of 8 proteins and cytokines at nivolumab baseline. CONCLUSION: Nivolumab activity in second line is independent from first-line duration of VEGFR TKI. However, first line VEGFR TKI duration ≥ 6 months is associated with longer OS.

Factors from healthcare delivery affecting breast cancer survival in a health area of Northern of Spain.

OBJECTIVE: Clinical breast cancer decision-making significantly affects life expectancy and management of hospital resources. The aims of the present study were to estimate the time of survival for breast cancer patients and to identify independent factors from healthcare delivery associated with survival rates in a specific health area of Northern of Spain. METHODS: Survival analysis was conducted among a cohort of 2545 patients diagnosed with breast cancer between 2006 and 2012 from the population breast cancer registry of Asturias-Spain and followed up till 2019. Adjusted Cox proportional hazard models were used to identify the independent prognostic factors of all-cause from death. RESULTS: The 5-year survival rate was 80%. Advanced age (>80 years) (hazard ratio, HR: 4.35; 95% confidence interval, CI: 3.41-5.54), hospitalization in small hospitals (HR: 1.46; 95% CI: 1.09-1.97), treatment in oncology wards (HR: 3.57; 95% CI: 2.41-5.27), and length of stay >30 days (HR: 2.24; 95% CI: 1.32-3.79) were the main predictors of death. By contrast, breast cancer suspected via screening was associated with a lower risk of death (HR: 0.55; 95% CI: 0.35-0.87). CONCLUSION: There is room for improvement in survival rates after breast cancer in the health area of Asturias (Northern of Spain). Some healthcare delivery factors, and other clinical characteristics of the tumor influence the survival of breast cancer patients. Strengthening population screening programs could be relevant to increasing survival rates.