Social support and frailty progression in community-dwelling older adults.

Objectives: Despite the growing evidence regarding the influence of social factors on frailty in older adults, the effect of social support remains unclear. This study aims to assess the association between social support and frailty progression (transition and incidence) in a sample of community-dwelling older adults. Methods: Using a cohort study design, 1,059 older adults from the Berlin Initiative Study were followed up for 2.1 years. Multinomial and logistic regression analyses were performed to assess the association of social support using Oslo Social Support Scale-3 with frailty transition and incidence, respectively. Gender differences were explored using stratified analyses. Results: At baseline, frailty prevalence in the study population [mean (SD) age 84.3 (5.6) years; 55.8% women] reached 33.1% with 47.0, 29.4 and 23.6% of the participants reporting moderate, strong and poor social support, respectively. Over the follow-up period, social support was not significantly associated with the frailty transition categories in the adjusted model. Conversely, the adjusted logistic regression analysis showed that participants with poor social support had twice the odds of becoming frail compared to those with strong social support (OR 2.07; 95% CI 1.08-3.95). Gender-stratified analyses showed comparable estimates to the main analysis but were statistically non-significant. Discussion: Our study results underpin the role of social factors in frailty incidence and highlight social support as a potential target for frailty-preventing interventions in older adults. Therefore, it is important to adopt a biopsychosocial model rather than a purely biomedical model to understand and holistically improve the health of community-dwelling older adults.

The Beijing angle closure progression study: design and methodology.

Purpose: The purpose of this study is to summarize the design and methodology of a large-scale trial in northern China, the Beijing Angle Closure Progression Study (BAPS). This trial is designed to explore the 5-year incidence of primary angle-closure suspect (PACS) progressing to primary angle-closure (PAC) or primary angle-closure glaucoma (PACG) and to determine the possible risk factors of disease progression. Methods/design: The BAPS is a clinic-based, multicenter, noninterventional trial conducted on a sample of urban Chinese adults. Consecutive eligible patients who meet PACS diagnostic criteria will be recruited from eight participating centers, with the trial commencing on August 4, 2022. The target sample size is set at 825 subjects, with follow up planned for a minimum period of 5 years. Baseline examination will include presenting visual acuity, best corrected visual acuity, intraocular pressure (IOP), undilated slit-lamp biomicroscopy, stereoscopic evaluation of the optic disc, visual field test, optical coherence tomography evaluation of retinal nerve fiber layer, ultrasound biomicroscopy and IOLMaster. Questionnaires will also be used to collect detailed personal history. Patients are scheduled to visit the glaucoma clinic every 12 months and may visit the emergency room in case of acute attack of angle closure. Study endpoints include acute PAC episodes, elevated IOP, peripheral anterior synechiae, glaucomatous visual field defect, or glaucomatous abnormality of optic nerve. Discussion: The BAPS will provide data on the 5-year incidence of PACS progressing to PAC or PACG and determine the risk factors for disease progression. This study will also help redefine high-risk patients with PACS.

The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.

Although methods in diagnosis and therapy of hepatocellular carcinoma (HCC) have made significant progress in the past decades, the overall survival (OS) of liver cancer is still disappointing. Machine learning models have several advantages over traditional cox models in prognostic prediction. This study aimed at designing an optimal panel and constructing an optimal machine learning model in predicting prognosis for HCC. A total of 941 HCC patients with completed survival data and preoperative clinical chemistry and immunology indicators from two medical centers were included. The OCC panel was designed by univariate and multivariate cox regression analysis. Subsequently, cox model and machine-learning models were established and assessed for predicting OS and PFS in discovery cohort and internal validation cohort. The best OCC model was validated in the external validation cohort and analyzed in different subgroups. In discovery, internal and external validation cohort, C-indexes of our optimal OCC model were 0.871 (95% CI, 0.863-0.878), 0.692 (95% CI, 0.667-0.717) and 0.648 (95% CI, 0.630-0.667), respectively; the 2-year AUCs of OCC model were 0.939 (95% CI, 0.920-0.959), 0.738 (95% CI, 0.667-0.809) and 0.725 (95% CI, 0.643-0.808), respectively. For subgroup analysis of HCC patients with HBV, aged less than 65, cirrhosis or resection as first therapy, C-indexes of our optimal OCC model were 0.772 (95% CI, 0.752-0.792), 0.769 (95% CI, 0.750-0.789), 0.855 (95% CI, 0.846-0.864) and 0.760 (95% CI, 0.741-0.778), respectively. In general, the optimal OCC model based on RSF algorithm shows prognostic guidance value in HCC patients undergoing individualized treatment.

DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals.

Pharmacokinetic/Pharmacodynamic (PK/PD) modeling is crucial in the development of new drugs. However, traditional population-based PK/PD models encounter challenges when modeling for individual patients. We aim to explore the potential of constructing a pharmacodynamic model for individual breast cancer pharmacodynamics leveraging only limited data from early clinical trial phases. While previous studies on Neural Ordinary Differential Equations (ODEs) suggest promising results in clinical trial practices, they primarily focused on theoretical applications or independent PK/PD modeling. PD modeling from complex and irregular clinical trial data, especially when interacting with PK parameters, is still unclear. To achieve that, we introduce a Data-driven Neural Ordinary Differential Equation (DN-ODE) modeling for breast cancer tumor dynamics and progression-free survival data. To validate this approach, experiments are conducted with early-phase clinical trial data from the Amcenestrant (an oral treatment for breast cancer) dataset (AMEERA 1-2), aiming to predict pharmacodynamics in the later phase (AMEERA 3). DN-ODE model achieves RMSE scores of 8.78 and 0.21 in tumor size and progression-free survival, respectively, with R2 scores over 0.9 for each task. Compared to PK/PD methodologies, DN-ODE is able to predict robust individual tumor dynamics with only limited cycle data. We also introduce Principal Component Analysis visualizations for encoder results, demonstrating the DN-ODE's capability to discern individual distributions and diverse tumor growth patterns. Therefore, DN-ODE facilitates comprehensive drug efficacy assessments, pinpoints potential responders, and aids in trial design.

Deep representation learning from electronic medical records identifies distinct symptom based subtypes and progression patterns for COVID-19 prognosis.

OBJECTIVE: Symptoms are significant kind of phenotypes for managing and controlling of the burst of acute infectious diseases, such as COVID-19. Although patterns of symptom clusters and time series have been considered the high potential prediction factors for the prognosis of patients, the elaborated subtypes and their progression patterns based on symptom phenotypes related to the prognosis of COVID-19 patients still need be detected. This study aims to investigate patient subtypes and their progression patterns with distinct features of outcome and prognosis. METHODS: This study included a total of 14,139 longitudinal electronic medical records (EMRs) obtained from four hospitals in Hubei Province, China, involving 2,683 individuals in the early stage of COVID-19 pandemic. A deep representation learning model was developed to help acquire the symptom profiles of patients. K-means clustering algorithm is used to divide them into distinct subtypes. Subsequently, symptom progression patterns were identified by considering the subtypes associated with patients upon admission and discharge. Furthermore, we used Fisher's test to identify significant clinical entities for each subtype. RESULTS: Three distinct patient subtypes exhibiting specific symptoms and prognosis have been identified. Particularly, Subtype 0 includes 44.2% of the whole and is characterized by poor appetite, fatigue and sleep disorders; Subtype 1 includes 25.6% cases and is characterized by confusion, cough with bloody sputum, encopresis and urinary incontinence; Subtype 2 includes 30.2% cases and is characterized by dry cough and rhinorrhea. These three subtypes demonstrate significant disparities in prognosis, with the mortality rates of 4.72%, 8.59%, and 0.25% respectively. Furthermore, symptom cluster progression patterns showed that patients with Subtype 0 who manifest dark yellow urine, chest pain, etc. in the admission stage exhibit an elevated risk of transforming into the more severe subtypes with poor outcome, whereas those presenting with nausea and vomiting tend to incline towards entering the milder subtype. CONCLUSION: This study has proposed a clinical meaningful approach by utilizing the deep representation learning and real-world EMR data containing symptom phenotypes to identify the COVID-19 subtypes and their progression patterns. The results would be potentially useful to help improve the precise stratification and management of acute infectious diseases.

Changes in the correlation between substantia nigra hyperechogenicity area and Parkinson's disease severity at different Hoehn and Yahr stages.

BACKGROUND: It is debatable whether the area of substantia nigra hyperechogenicity (SN+) in transcranial sonography (TCS) is related to Parkinson's disease (PD) severity. Iron deposition, which is associated with the formation of SN+, may have different effects on dopamine nerve function as PD progresses. However, little research has explored the association between the SN + area and disease severity of PD in stages. METHODS: 612 PD patients with sufficient bone window were retrospectively included from a PD database, and disease severity was assessed by the Unified Parkinson's Disease Rating Scale (UPDRS) scores. Based on the Hoehn and Yahr (H-Y) scale, we classified the patients into seven groups (H-Y stage 1, 1.5, 2, 2.5, 3, 4, and 5) and then analyzed the correlations between the SN + area and the UPDRS scores separately. RESULTS: Our results indicated a U-shaped relationship between the initial-SN + area and disease severity in PD: In the H-Y stage 1 group, the initial-SN + area was negatively correlated with the UPDRS total score (r = - 0.456, p < 0.001) and UPDRS-III score (r = - 0.497, p < 0.001). No correlation was observed in the groups of H-Y stages 1.5, 2, and 2.5. In the groups of H-Y stage ≥ 3, the initial-SN + area was positively correlated with the UPDRS total score and UPDRS-III score, with strongest correlation in the H-Y stage 5 group (all p values < 0.05). Moreover, the larger SN + area and average SN + area showed a similar evolutionary trend of correlation with UPDRS total score and UPDRS-III score. CONCLUSIONS: Our study indicated a U-shaped correlation between the SN + area with the UPDRS total score and UPDRS-III score as H-Y stage progressed. The evolution of the correlation may reflect the evolution of underlying pathological mechanisms related to iron deposition in the substantia nigra.

Exosomes: Emerging Insights into the Progression of Pancreatic Cancer.

Pancreatic cancer is a very aggressive and fatal malignancy with few therapeutic choices and a poor prognosis. Understanding the molecular pathways that drive its growth is critical for developing effective therapeutic strategies. Exosomes, small extracellular vesicles secreted by numerous cell types, have recently emerged as essential intercellular communication mediators, with implications for tumor growth and metastasis. In this article, we present a review of current knowledge about exosomes and their role in pancreatic cancer progression We discuss the biogenesis and characteristics of exosomes, as well as their cargo and functional significance in tumor growth, immune evasion, angiogenesis, invasion, and metastasis. We further emphasize the potential of exosomes as diagnostic biomarkers and therapeutic targets for pancreatic cancer. Finally, we discuss the challenges and future perspectives in using exosomes to improve patient outcomes in pancreatic cancer.

A Phase 1b Study of Lenvatinib plus Pembrolizumab in Patients with Unresectable Hepatocellular Carcinoma: Extended Analysis of Study 116.

Introduction: Lenvatinib (dosing for patients who weigh ≥60 kg was 12 mg/day; for patients who weigh <60 kg, the dose was 8 mg/day) plus pembrolizumab 200 mg once every 3 weeks demonstrated antitumor activity and a manageable safety profile in patients with first-line unresectable hepatocellular carcinoma (uHCC) in the open-label phase 1b Study 116/KEYNOTE-524 (primary analysis data cutoff date: October 31, 2019; median follow-up: 10.6 months). This analysis (updated data cutoff date: March 31, 2021) reports efficacy results from 17 months of additional follow-up time. Methods: 100 patients with uHCC were included in the primary analysis (median follow-up: 27.6 months). Endpoints included overall survival (OS), investigator-assessed progression-free survival (PFS), objective response rate (ORR), and duration of response (DOR) per modified RECIST. Landmark analyses of OS by the best response at 3 and 9 months were performed. Pembrolizumab antidrug antibodies (ADAs) and concentrations were also measured (cutoff date: August 7, 2020). Results: ORR was 43.0% (95% CI 33.1-53.3%) and median DOR was 17.1 months (95% CI 6.9-19.3 months). Median PFS and OS were 9.3 months (95% CI 7.4-9.8 months) and 20.4 months (95% CI 14.4-25.9 months), respectively. No treatment-emergent ADAs were detected. Conclusion: Results show a sustained treatment effect with lenvatinib plus pembrolizumab in patients with uHCC in the first-line setting.

Endometrial cancer treatment and outcomes in Argentina: ECHOS-A real-world study.

Objective: Real-world data for patients with endometrial cancer (EC) are limited, particularly in Latin America. We present treatment pattern findings from ECHOS-A - Endometrial Cancer Health Outcomes Study in Argentina. Materials and methods: A retrospective study using clinical data from privately insured patients with EC diagnosed from 2010 to 2019. Index (diagnosis proxy) was first date of an EC-related health term or treatment. Demographics, clinical characteristics, and FIGO staging were described. Disease progression and survival were assessed until study end, loss to follow-up, or death. Results: Of 805 patients with EC, 77.4 % (n = 623/805) received any treatment and 22.6 % (n = 182/805) received none. Among those treated, 31.8 % (n = 198/623) had first-line (1L) systemic therapy, and 45.5 % (n = 90/198) proceeded to second-line (2L) therapy. Mean follow-up was 33.6 (SD 31.8) months. Of those receiving any treatment, 87.3 % (n = 544/623) had FIGO stage data (I, 62.9 %; II, 18.6 %; III, 13.6 %; IV, 5.0 %). Treatment by class in 1L and 2L, respectively, were platinum chemotherapy, 73.7 %, 36.7 %; non-platinum chemotherapy, 73.7 %, 62.2 %; immunotherapy, 1.0 %, 11.1 %; hormone therapy, 17.7 %, 26.7 %. Carboplatin/paclitaxel was the most frequent 1L (52.5 %) and 2L (14.4 %) regimen. Mean time to progression was 14.1 (SD 16.3) and 8.8 (SD 8.3) months in 1L and 2L, respectively. Adjusted 1- to 5-year risk of progression/death was 46.5-77.5 % and 65.0-86.2 % in 1L and 2L, respectively. Conclusions: Approximately one-quarter of patients with EC received no treatment, and approximately two-thirds were not treated with 1L systemic therapy. Efforts to better understand the reasons for these treatment patterns are crucial for improving patient outcomes.

Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach.

Tumor volume doubling time (TVDT) has been shown to be a potential surrogate marker of biological tumor activity. However, its availability in clinics is strongly limited due to ethical and practical reasons, as its assessment requires at least two subsequent tumor volume measurements in untreated patients. Here, a translational modeling framework to predict TVDT distributions in untreated cancer patient populations from tumor growth data in patient-derived xenograft (PDX) mice is proposed. Eleven solid cancer types were considered. For each of them, a set of tumor growth studies in PDX mice was selected and analyzed through a mathematical model to characterize the distribution of the exponential tumor growth rate in mice. Then, assuming an exponential growth of the tumor mass in humans, the growth rates were scaled from PDX mice to humans through an allometric scaling approach and used to predict TVDTs in untreated patients. A very good agreement was found between model predicted and clinically observed TVDTs, with 91% of the predicted TVDT medians fell within 1.5-fold of observations. Further, exploiting the intrinsic relationship between tumor growth dynamics and progression free survival (PFS), the exponential growth rates in humans were used to generate the expected PFS curves in absence of anticancer treatment. Predicted curves were extremely close to published PFS data from studies involving patient cohorts treated with supportive care or low effective therapies. The proposed approach shows promise as a potential tool to increase knowledge about TVDT in humans without the need of directly measuring tumor dimensions in untreated patients, and to predict PFS curves in untreated patients, that could fill the absence of placebo-controlled arms against which to compare treaded arms during clinical trials. However, further validation and refinement are needed to fully assess its effectiveness in this regard.

[Bullous mycosis fungoides-clinical indicator for an aggressive course of disease]. / Bullöse Mycosis fungoides ­ ein klinischer Indikator für einen aggressiven Krankheitsverlauf.

Mycosis fungoides (MF) is defined as the most common cutaneous T­cell lymphoma (CTCL). The bullous form is considered one of its numerous variants. Only a few cases of this rare entity have been described. We report the case of a man with an aggressive course of bullous MF, which led to lethal outcome within a few weeks due to a fulminant sepsis.

Food insecurity and its severity among adults receiving antiretroviral therapy in health facilities, northcentral Ethiopia: a multi-facility-based cross-sectional study.

Background: Food insecurity plays a crucial role in predicting the spread of HIV due to the adverse effects of coping mechanisms adopted to mitigate it. However, there is a scarcity of context-specific evidence regarding food insecurity among HIV-infected adults. Therefore, this study aimed to assess the context-specific magnitude of food insecurity and associated factors among adults receiving antiretroviral therapy (ART) in health facilities in the North Shewa Zone, Ethiopia, ultimately contributing to the achievement of the 95-95-95 HIV treatment target in the local context. Methods: A multi-facility cross-sectional study was conducted among 865 HIV-infected adults receiving ART and being followed up for their treatment. We included health facilities that provide ART, including four hospitals and six health centers. A log-binomial regression model was fitted to identify the association between food insecurity and independent variables. Adjusted prevalence ratios (APRs) with a 95% confidence interval were computed to measure the strength of the association. Results: In this study, 290 (33.7, 95% CI: 30.60, 36.91) of the HIV-infected adults studied had food insecurity during their treatment and follow-up, of which 152 (52.41, 95% CI: 46.64, 58.13) and 110 (37.93%, CI: 32.50, 43.68) of them were found to have severe and moderate forms of food insecurity, respectively. We found that being younger (APR = 2.27, 95% CI: 1.12, 4.60), being female (APR = 1.87, 95% CI: 1.03, 3.39), lacking formal education (APR = 10.79, 95% CI: 14.74, 24.58), having lower educational status (APR = 5.99, 95% CI: 2.65, 13.54), being a daily laborer (APR = 6.90, 95% CI: 2.28, 20.85), having low monthly income (APR = 1.89, 95% CI: 1.11, 3.22), advanced WHO clinical stage (APR = 2.34, 95% CI: 1.08, 5.10), and receiving ART for less than 4 years (AOR = 2.28, 95% CI: 1.09, 4.74) were significantly associated with a high proportion of food insecurity among HIV-infected adults. Conclusion: The magnitude of food insecurity among HIV-infected adults receiving ART was high, with an extremely high magnitude of severe food insecurity. The finding suggests the need for culture- and context-specific nutritional interventions to address the gender dynamics of food insecurity, attention to the early stage of ART, and the integration of strategies to improve educational status and enhance income-generation activities of HIV-infected adults. This requires an emphasis on the link between food insecurity and HIV in Ethiopia's national food and nutrition policy.

[Idiopathic membranous nephropathy with focal segmental sclerosis].

AIM: To evaluate the clinical and pathological features and prognosis of idiopathic membranous nephropathy (IMN) with focal segmental sclerosis (FSGS) in a group of Russian patients. MATERIALS AND METHODS: 101 patients with morphologically verified IMN were enrolled in our single-center cohort retrospective study. The patients were divided into IMN group and IMN+FSGS group. The primary and secondary outcomes were analyzed in 59 patients, which had follow-up data for period more than 6 months. RESULTS: At the time of renal biopsy the median age was 46.0 (33.0; 55.0) years and the median follow-up was 6.8 (4.0; 15.6) months. Secondary FSGS was revealed in 15 (14.9%) patients with IMN. The IMN and IMN+FSGS groups did not differ in gender, age of onset IMN and age of renal biopsy. In the IMN+FSGS group proteinuria was higher and estimated glomerular filtration rate was lower than that in the IMN group (p<0.05). The systolic arterial pressure and creatinine levels in the IMN+FSGS group were slightly higher than in the IMN group, but the difference was not significant. Anti-PLA2R positivity was similar in both groups. Chronic kidney disease (CKD) progression was observed in 10/52 (19.2%) and 5/7 (71.4%) patients in IMN and IMN+FSGS groups, respectively. In a multivariate Cox regression model, age of renal biopsy (odds ratio - OR 1.12, 95% confidence interval - CI 1.03-1.22; р=0.07), FSGS (OR 0.05, 95% CI 0.01-0.34; р=0.002) и response to initial course of immunosuppression (OR 0.33, 95% CI 0.12-0.95; р=0.039) were associated with the CKD progression. CONCLUSION: In patients with IMN secondary FSGS is associated with a greater severity of proteinuria and a decrease in estimated glomerular filtration rate, and is also an independent factor of the CKD progression.

[Muscle-invasive and metastatic urothelial carcinoma of the urinary bladder : Current state of histopathologic, molecular, and immunologic prognostic and predictive factors]. / Das muskelinvasive und metastasierte Urothelkarzinom der Harnblase : Aktueller Stand histopathologischer, molekularer und immunologischer Prognose- und Prädiktionsfaktoren.

BACKGROUND: Muscle-invasive and metastatic urothelial carcinoma (UC) represents a heterogeneous disease entity with numerous morphological, molecular, and immunological phenotypes. AIMS: This article aims to provide an overview of current histopathological, molecular, and immunological prognostic and predictive factors in muscle-invasive and metastatic UC. RESULTS AND DISCUSSION: Muscle-invasive and metastatic UC exhibits a wide range of divergent differentiations and histological subtypes. The correct diagnosis of these morphological variants is essential, as they may determine the clinical course and may also present specific and potentially therapeutically targetable molecular alterations (e.g., HER2 alterations in micropapillary UC). The morphological subtypes largely correlate with the six molecular consensus subtypes. Furthermore, morphological and molecular subtypes are associated with immunological properties that are relevant for modern immunotherapies, such as the PD-L1 status. Numerous immunotherapy studies in the setting of curatively treatable muscle-invasive UC will be reported in 2024 and 2025, likely leading to an increasing number of PD-L1 testing indications.

Multi-Drug Resistance and Breast Cancer Progression via Toll-Like Receptors (TLRs) Signaling.

Toll-like receptors (TLRs) are essential receptors involved in inflammation and innate immunity. Various types of cancer cells, as well as innate immune cells, express TLRs. There is mounting proof that TLRs are critical to the development and spread of cancer as well as metabolism. In breast cancer, up-regulated levels of TLRs have been linked to the aggressiveness of the diseases, worse treatment outcomes, and the emergence of therapeutic resistance. Patients with advanced non-resectable, recurring, and metastatic breast cancer currently have few available treatment choices. An intriguing new strategy is an innate immunity-mediated anticancer immunotherapy, either used alone or in conjunction with existing treatments. In fact, several TLR agonists and antagonists have been used in clinical studies for anti-cancer immunotherapy. Consequently, TLRs serve as critical targets for controlling the course of breast cancer and treatment resistance in addition to being implicated in immune responses against pathogen infection and cancer immunology. In this review, we deliver an overview of the most current findings on TLR involvement in the development of breast cancer and treatment resistance.

Only repeatedly elevated IgG4 levels in primary sclerosing cholangitis may distinguish a particular patient phenotype.

BACKGROUND: Primary sclerosing cholangitis (PSC) is a chronic liver disease leading to inflammation with scaring and strictures of bile ducts, which can lead to liver cirrhosis. A subtype of PSC characterized by high serum IgG4 (sIgG4) levels has been reported to be associated with poor outcomes, but the exact role and the longitudinal development of sIgG4 levels in PSC progression remains to be clarified. The aim of this study was to investigate if subsequent analysis of sIgG4 levels allows the identification of the PSC phenotype with high sIgG4. METHODS: sIgG4 values were repeatedly analysed in a well-characterized European PSC cohort of 110 individuals. Biochemical parameters, clinical endpoints, death and liver transplantation were compared between PSC subgroups. RESULTS: 12.7% (n = 14) of PSC patients showed increased sIgG4 levels (PSC-IgG4). The values normalized in 57.1% (n = 8; PSC-IgG4norm) during follow-up measurements, whereas the values remained permanently elevated in 42.9% (n = 6; PSC-IgG4const). Serum values of AP and γGT were significantly higher in PSC-IgG4const compared to PSC-IgG4norm at final blood sampling. Furthermore, mean age at PSC diagnosis was markedly lower in PSC-IgG4const compared to PSC-IgG4norm. CONCLUSIONS: This is the first study analyzing longitudinal development of sIgG4 in PSC. Our data indicate that only sequential determination of sIgG4 levels allow to accurately distinguish between the PSC phenotype with high sIgG4 and PSC with low sIgG4.

Factors associated with radiographic progression and neurologic decline in patients with isolated traumatic subarachnoid hemorrhage.

BACKGROUND: Complicated mild traumatic brain injury (cmTBI) is a common neurosurgical disorder that consumes a significant amount of healthcare resources without a clearly established benefit. Best practices for the management of cmTBI regarding triage, hospital admission, and the necessity for repeat imaging are controversial. Our objective is to describe the rate of radiographic progression and neurologic decline for isolated traumatic subarachnoid hemorrhage (itSAH) patients admitted to the hospital. We hypothesized that only a minority of itSAH patients suffer radiographic progression and that radiographic progression is not necessarily associated with neurologic decline. METHODS: Database queries and direct patient chart reviews were used to gather patient data. T-tests and Fisher's exact tests were performed. RESULTS: A total of 340 patients with cmTBI associated with itSAH were included for analysis. The radiographic progression rate was 5.6%. There was no statistically significant association between age, gender, GCS at presentation, anticoagulation status, and risk of radiographic progression. However, subgroup analysis on anticoagulated patients did show those on warfarin had a statistically significant risk of radiographic progression (p = 0.003). No patient developed neurologic decline, irrespective of whether they developed radiographic progression. CONCLUSION: Secondary triaging, hospital admission, ICU stay, and repeat HCT might not be necessary for awake, GCS 13-15 patients with itSAH without any other significant injuries. In the case of anticoagulant use, but not necessarily antiplatelet use, the medication should be reversed, and admission should be considered.

Locoregional interventional therapy for hepatocellular carcinoma: radiologic and clinical factors predictive of untreatable progression and time to untreatable progression.

Objective: In this retrospective cohort study, independent risk factors that influence untreatable progression (UP) and time to UP (TTUP) in patients with hepatocellular carcinoma (HCC) after locoregional interventional therapy were examined. The effects of initial response and best response on UP occurrence and TTUP after locoregional interventional therapy were evaluated. Methods: Data were collected from HCC patients who were initially treated with the drug-eluting beads-transcatheter arterial chemoembolization (DEB-TACE) procedure at our hospital from January 2017 to December 2022. Modified response evaluation criteria in solid tumors (m-RECIST) was used to evaluate the radiologic response of tumors. Logistic regression analysis was used to analyze the risk factors for UP in patients, and Cox regression analysis was used to discover independent variables that influenced TTUP. Results: A total of 93 patients who initially underwent the DEB-TACE procedure were included. Subsequent to initial treatment, 50 patients continued with DEB-TACE treatment, while 43 received DEB-TACE and sequential thermal ablation treatment. The probability of developing UP was 82.8% (n = 77). Furthermore, 49 (52.7%) patients achieved an initial response, and 70 (75.3%) achieved the best response. Multivariate logistic regression analysis confirmed three independent risk factors of UP, namely, age (odds ratio [OR]: 0.950, p = 0.044); initial response (OR: 0.177, p = 0.020); and treatment regimen (OR: 7.133, p = 0.007). Multivariate Cox regression found that total bilirubin (hazard ratio [HR]: 1.029, p = 0.002), tumor distribution (HR: 1.752, p = 0.034), Subjective Angiographic Chemoembolization Endpoint (SACE) classification (HR: 0.668, p = 0.043), number of tumors (HR: 1.130, p = 0.004), initial response (HR: 0.539, p = 0.019), and treatment regimen (HR: 4.615, p < 0.001) were independent variables that influenced TTUP. Conclusions: Age, initial response, and treatment regimen significantly affected the occurrence of UP in HCC patients. Initial response, SACE classification, treatment regimen, total bilirubin, number of tumors, and tumor distribution were significantly correlated with TTUP. The initial response following locoregional interventional therapy had greater effects on UP occurrence and TTUP than the best response.

Adjustment for imbalances in baseline characteristics in the MAGNITUDE phase 3 study confirms the clinical benefit of niraparib in combination with abiraterone acetate plus prednisone in patients with metastatic prostate cancer.

BACKGROUND: MAGNITUDE (NCT03748641) demonstrated favourable outcomes with niraparib plus abiraterone acetate plus prednisone (+AAP) versus placebo+AAP in patients with BRCA1/2-altered metastatic castration-resistant prostate cancer (mCRPC). Imbalances in prognostic variables were reported between arms, which impacts estimation of both the clinical benefit and cost­effectiveness of niraparib+AAP for healthcare systems. A pre-specified multivariable analysis (MVA) demonstrated improved overall survival (OS) with niraparib+AAP. Here, we used an inverse probability of treatment weighting (IPTW) model to adjust for covariate imbalances and assess time-to-event outcomes. METHODS: IPTW analysis of time-to-event outcomes was conducted using data from patients with BRCA1/2-altered mCRPC (N = 225) in MAGNITUDE. Patients received niraparib+AAP or placebo+AAP. OS, radiographic progression-free survival, time to symptomatic progression, time to initiation of cytotoxic chemotherapy and time to prostate-specific antigen progression were assessed. Weighted Kaplan-Meier curves were generated for each endpoint, and adjusted hazard ratios (HR) were obtained from a weighted Cox model. RESULTS: Improvements in survival outcomes were estimated for niraparib+AAP versus placebo+AAP: unadjusted median OS was 30.4 months versus 28.6 months, respectively (HR: 0.79; 95 % confidence interval [CI]: 0.55, 1.12; p = 0.183). Following IPTW, median OS increased to 34.1 months with niraparib+AAP versus a decrease to 27.4 with placebo (HR: 0.65; 95 % CI: 0.46, 0.93; p = 0.017). Similar improvements were observed for other time-to-event endpoints. CONCLUSIONS: IPTW adjustment provided a more precise estimate of the clinical benefit of niraparib+AAP versus placebo+AAP in patients with BRCA1/2-altered mCRPC. Results were consistent with the pre-specified MVA, and further demonstrated the value of adjusting for baseline imbalances, particularly in smaller studies. TRIAL REGISTRATION: NCT03748641 (MAGNITUDE).

Survival Outcomes of Primary versus Interval Cytoreductive Surgery for FIGO IV Ovarian Cancer (SOFI-4): a Nationwide Population-based Target Trial Emulation.

BACKGROUND: The effect of primary cytoreductive surgery versus interval cytoreductive surgery on FIGO IV ovarian cancer outcomes remains uncertain, and may vary depending on the stage and the extraperitoneal metastasis location. Emulating target trials through causal assessment combined with propensity score adjustment has become a leading method for evaluating interventions using observational data. OBJECTIVE: To assess the effect of primary versus interval cytoreductive surgery on progression-free and overall survival in patients with FIGO IV ovarian cancer using target trial emulation. STUDY DESIGN: Utilizing the comprehensive French national health insurance database, we emulated a target trial to explore primary versus interval cytoreductive surgery causal impacts on FIGO IV ovarian cancer prognosis (Surgery for Ovarian cancer FIGO 4: SOFI-4). The clone method with inverse probability of censoring weighting was used to adjust for informative censoring and balance baseline characteristics between the groups. Subgroup analyses were conducted based on FIGO stages and extraperitoneal metastasis locations. The study included patients under 75 years of age, in good health condition, diagnosed with FIGO IV ovarian cancer between January 1, 2014, and December 31, 2022. The primary and secondary outcomes were respectively five-year progression-free survival and seven-year overall survival. RESULTS: Among the 2,772 patients included in the study, 948 (34.2%) were classified as FIGO IVA and 1,824 (65.8%) as FIGO IVB at inclusion. Primary cytoreductive surgery was performed on 1,182 patients (42.6%), while interval cytoreductive surgery was conducted on 1,590 patients (57.4%). The median progression survival for primary cytoreductive surgery was 19.7 months (interquartile range [IQR]: 19.3-20.1), compared to 15.7 months (IQR: 15.7-16.1) for those who underwent interval cytoreductive surgery. The median overall survival was 63.1 months [IQR: 61.7-65.4] for primary cytoreductive surgery, in comparison to 55.6 months [IQR: 53.8-56.3] for interval cytoreductive surgery. The findings of our study indicate that primary cytoreductive surgery is associated with a 5.0-month increase in five-year progression-free survival (95% Confidence Intervals [CI]: 3.8-6.2) and a 3.9-month increase in seven-year overall survival (95% CI: 1.9-6.2). These survival benefits of primary over interval cytoreductive surgery were observed in both the FIGO IVA and IVB subgroups. Primary cytoreductive surgery demonstrated improved progression-free survival and overall survival in patients with pleural, supra-diaphragmatic, or extra-abdominal lymph node metastasis. CONCLUSIONS: SOFI-4 advocates for the benefits of primary cytoreductive surgery over interval cytoreductive surgery for patients with FIGO IV ovarian cancer, suggesting extraperitoneal metastases like supra-diaphragmatic or extra-abdominal lymph nodes should not automatically preclude primary cytoreductive surgery consideration in suitable patients.