Status Data Research Articles

Niraparib as maintenance therapy in Japan: a retrospective observational study using a Japanese claims database.

Epithelial ovarian cancer (EOC) is the leading cause of female mortality in gynecologic malignancies, with a rising incidence in Japan. This study aimed to validate the treatment patterns and safety of niraparib as maintenance therapy for EOC following initial chemotherapy in clinical practice in Japan. Leveraging claims data between April 2008 and December 2022, this descriptive study comprised EOC-diagnosed patients receiving initial platinum-based chemotherapy, debulking surgery, and niraparib as maintenance therapy. Patient characteristics, prescription status, transfusion details, and laboratory data were assessed and reported as summary statistics and frequencies. Among 291 patients, the median age was 64.0 years and 94.5% received a 200-mg daily dose of niraparib. At week 12, 78.7% (229/291) continued niraparib treatment, 21.3% (62/291) discontinued, and 52.2% (152/291) required treatment interruptions. Of the 62 patients who discontinued treatment, 27 patients initiated subsequent EOC treatment within 12 weeks following niraparib discontinuation. Blood transfusions were needed in 10.3% (30/291), and of 55 patients with available laboratory data, 61.8% (34/55) had decreased platelet count <100,000/µL, 25.5% (14/55) had decreased hemoglobin level <8 g/dL, and 22.7% (5/22) had decreased neutrophil count <1,000/µL, meeting the criteria for treatment interruption. Among those with thrombocytopenia, 88.2% (30/34) were able to either resume or continue treatment. Niraparib demonstrated favorable tolerability in Japanese patients with advanced EOC, with effective management of thrombocytopenia through dose adjustments and supportive care, supporting its viability as post-chemotherapy maintenance therapy.

An Intelligent Manufacturing Management System for Enhancing Production in Small-Scale Industries

Industry 4.0 integrates the intelligent networking of machines and processes through advanced information and communication technologies (ICTs). Despite advancements, small mechanical manufacturing enterprises face significant challenges transitioning to ICT-supported Industry 4.0 models due to a lack of technical expertise and infrastructure. These enterprises commonly encounter variable production volumes, differing priorities in customer orders, and diverse production capacities across low-, medium-, and high-level outputs. Frequent issues with machine health, glitches, and major breakdowns further complicate optimizing production scheduling. This paper presents a novel production management approach that harnesses bio-inspired methods alongside Internet of Things (IoT) technology to address these challenges. This comprehensive approach integrates the real-time monitoring and intelligent production order distribution, leveraging advanced LoRa wireless communication technology. The system ensures efficient and concurrent data acquisition from multiple sensors, facilitating accurate and prompt capture, transmission, and storage of machine status data. The experimental results demonstrate significant improvements in data collection time and system responsiveness, enabling the timely detection and resolution of machine failures. Additionally, an enhanced genetic algorithm dynamically allocates tasks based on machine status, effectively reducing production completion time and machine idle time. Case studies in a screw manufacturing facility validate the practical applicability and effectiveness of the proposed system. The seamless integration of the scheduling algorithm with the real-time monitoring subsystem ensures a coordinated and efficient production process, ultimately enhancing productivity and resource utilization. The proposed system’s robustness and efficiency highlight its potential to revolutionize production management in small-scale manufacturing settings.

Ambulation after in-utero fetoscopic or open neural tube defect repair: predictors for ambulation at 30 months.

To compare the ambulatory status of a cohort of children who had undergone prenatal repair of an open neural tube defect (ONTD) using one of two different methods (fetoscopic or open hysterotomy) with that of a cohort who had undergone postnatal repair, and to identify the best predictors of ambulation at 30 months of age. This was a retrospective review of a cohort of children who underwent ONTD repair either prenatally (n = 110), by fetoscopic surgery (n = 73) or open hysterotomy surgery (n = 37), or postnatally (n = 51), in a single tertiary hospital between November 2011 and May 2023. The cohort comprised a consecutive sample of cases who had undergone ONTD repair in-utero following Management of Myelomeningocele Study (MOMS) trial criteria and cases who had undergone postnatal repair, meeting the same criteria, which were also followed up after birth at the same institution. Motor function assessment by ultrasound was recorded at referral, 6 weeks after prenatal repair, or after referral in postnatally repaired cases, and at the last ultrasound scan before delivery. Clinical examinations to assess motor function at birth and at 12 months were retrieved from records. Intact motor function was defined as first sacral myotome (S1) motor function. Ambulatory status data at each follow-up visit were collected. The proportion of children who were able to walk independently after 30 months of age was compared between those who had undergone fetoscopic vs open prenatal surgery and between prenatal (by either fetoscopic or open surgery) and postnatal ONTD repair. Logistic regression analyses were performed to identify predictors for independent ambulation. After 30 months, the proportion of infants who were able to walk independently was higher in prenatally vs postnatally repaired cases (51.8% vs 15.7%, P < 0.01), and there was no difference between those with fetoscopic (52.1%) vs open (51.4%) prenatal repair (P = 0.66). In the prenatally repaired group, having intact motor function at 12 months (adjusted odds ratio (aOR), 9.14 (95% CI, 2.64-31.63), P < 0.01) and at birth (aOR, 4.50 (95% CI, 1.21-16.80), P = 0.02) were significant predictors of independent walking at 30 months; an anatomical level of lesion below L2 at referral (aOR, 1.83 (95% CI, 1.30-2.58), P = 0.01) and female gender (aOR, 3.51 (95% CI, 1.43-8.61), P < 0.01) were also predictive for this outcome. Prenatally repaired cases of ONTD have a better chance of being able to walk independently at 30 months than do those who undergo postnatal repair. In patients with prenatally repaired ONTD, ambulatory status at 30 months can be predicted by observing a low lesion level at referral (below L2) and intact motor function postnatally. These results have implications for parental counseling and planning for supportive therapy in pregnancies affected by ONTD. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

Study on the multifunctional spatial-temporal evolution and coupling coordination of cultivated land: A case study of Hebei Province, China.

The rational use of cultivated land can guarantee food security and thus is highly important for ensuring social stability, economic development and national security. The current study investigated the multifunctional temporal and spatial variation characteristics of cultivated land and explored the spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land throughout Hebei Province. Based on the administrative division data, statistical yearbook data and land use status data of the impacted areas, a multifunctional evaluation index system of cultivated land was established. The CRITIC weight method and entropy weight method were used to determine the weight of the index, the comprehensive index model was used to determine the production, social security, ecology and landscape functions of cultivated land of Hebei Province in different periods, the coupling coordination model was used to explore the multifunctional coupling coordination degree of cultivated land in each county, and spatial autocorrelation analysis was performed to determine the correlation of the multifunctional coupling coordination degrees. From 2000 to 2020, the production, social security and landscape function of cultivated land in Hebei Province trended upward; the ecological function trended slightly downward. The multifunctional coupling coordination degree of cultivated land in Hebei Province trended significantly upward and changed from limited coordination to intermediate coordination. Furthermore, it exhibited strong agglomeration and a significant positive spatial correlation, forming a 'V'-type change rule of first decreasing and then increasing. Hebei Province exhibited remarkable spatial and temporal characteristics of the multifunction and coupling coordination degrees of cultivated land. Regions could thus customize different cultivated land functions to maximize the benefits of cultivated land use. The findings of this study may provide a scientific basis and theoretical support for sustainably using and managing cultivated land resources in areas with similar human geographical environments.

High prevalence and risk of malaria among asymptomatic individuals from villages with high prevalence of artemisinin partial resistance in Kyerwa district of Kagera region, north-western Tanzania

BackgroundAlthough Tanzania adopted and has been implementing effective interventions to control and eventually eliminate malaria, the disease is still a leading public health problem, and the country experiences heterogeneous transmission. Recent studies reported the emergence of parasites with artemisinin partial resistance (ART-R) in Kagera region with high prevalence (> 10.0%) in two districts of Karagwe and Kyerwa. This study assessed the prevalence and predictors/risk of malaria infections among asymptomatic individuals living in a hyperendemic area where ART-R has emerged in Kyerwa District of Kagera region, north-western Tanzania.MethodsThis was a community-based cross-sectional survey which was conducted in July and August 2023 and involved individuals aged ≥ 6 months from five villages in Kyerwa district. Demographic, anthropometric, clinical, parasitological, type of house inhabited and socio-economic status (SES) data were collected using electronic capture tools run on Open Data Kit (ODK) software. Predictors/risks of malaria infections were determined by univariate and multivariate logistic regression, and the results were presented as crude (cORs) and adjusted odds ratios (aORs), with 95% confidence intervals (CIs).ResultsOverall, 4454 individuals were tested using rapid diagnostic tests (RDTs), and 1979 (44.4%) had positive results. The prevalence of malaria infections ranged from 14.4% to 68.5% and varied significantly among the villages (p < 0.001). The prevalence and odds of infections were significantly higher in males (aOR = 1.28, 95% CI 1.08 –1.51, p = 0.003), school children (aged 5–≤10 years (aOR = 3.88, 95% CI 3.07–4.91, p < 0.001) and 10–≤15 years (aOR = 4.06, 95% CI 3.22–5.13, p < 0.001)) and among individuals who were not using bed nets (aOR = 1.22, 95% CI 1.03–1.46, p = 0.024). The odds of malaria infections were also higher in individuals with lower SES (aOR = 1.42, 95% CI 1.17–1.72, p < 0.001), and living in houses without windows (aOR = 2.08, 95% CI 1.46–2.96, p < 0.001), partially open (aOR = 1.33, 95% CI 1.11–1.58, p = 0.002) or fully open windows (aOR = 1.30, 95%CI 1.05–1.61, p = 0.015).ConclusionThe five villages had a high prevalence of malaria infections and heterogeneity at micro-geographic levels. Groups with higher odds of malaria infections included school children, males, and individuals with low SES, living in poorly constructed houses or non-bed net users. These are important baseline data from an area with high prevalence of parasites with ART-R and will be useful in planning interventions for these groups, and in future studies to monitor the trends and potential spread of such parasites, and in designing a response to ART-R.

PERILAKU PICKY EATER DENGAN STATUS GIZI ANAK USIA PRASEKOLAH

Picky eater is a condition that refers to behavior that only wants to consume certain foods and does not want to try new foods. Nutritional status is a condition that arises from the body's need for calories and other nutrients, obtained from food intake. The aim of this study is to find out how the behavior of a picky eater relates to the nutritional status of preschool children in the Free Methodist Kindergarten. This type of research is correlation analysis with the Croos Sectional approach. The population in this study was mothers and children, the sample in the study was 68 people using total sampling techniques. The tool used is the Child Eating Behavior Questionnaire (CEBQ) questionnaire and nutritional status data from z-score with BB/TB measurement. The majority of children with picky-eater behavior were 79.4 per cent, nutritional status (n=68) and normal nutrition status was 64.7 per cent. Children with picky-eaters were mostly normal, while children who did not have picky eating behaviors were under-nutritional and poor nutritional. It was concluded that it showed that there was a relationship between picky-eater behavior and preschool child nutritional status in the Free Methodist Kindergarten (p value = 0,005). The advice in this study is expected to help the mother in paying attention to nutritional needs and improving the child's diet so that the child grows optimally.

The impact of antifibrotic use on long-term clinical outcomes in the pulmonary fibrosis foundation registry

BackgroundIdiopathic pulmonary fibrosis (IPF) is a devastating interstitial lung disease (ILD) with a high mortality rate. The antifibrotic medications pirfenidone and nintedanib have been in use since 2014 for this disorder and are associated with improved rate of lung function decline. Less is known about their long-term outcomes outside of the clinical trial context.MethodsThe Pulmonary Fibrosis Foundation Patient Registry was used for this study. Patients with an IPF diagnosis made within a year of enrollment were included. The treated group was defined as patients receiving either pirfenidone or nintedanib for at least 180 days. The untreated group did not have any record of antifibrotic use. Demographic data, comorbidities, serial lung function, hospitalization, and vital status data were collected from the registry database. The primary outcomes were transplant-free survival, time to first respiratory hospitalization, and time to 10% absolute FVC decline. Time-to-event analyses were performed utilizing Cox proportional hazards models and the log-rank test. Model covariates included age, gender, smoking history, baseline lung function, comorbidities, and oxygen use.ResultsThe registry contained 1212 patients with IPF; ultimately 288 patients met inclusion criteria for the treated group, and 101 patients were designated as untreated. Patients treated with antifibrotics were significantly younger (69.8 vs. 72.6 years, p = 0.008) and less likely to have smoked (61.1% ever smokers vs. 72.3% never smokers, p = 0.04). No significant differences were seen in race, gender, comorbidities, or baseline pulmonary function between groups. The primary outcome of transplant-free survival was not significantly different between the two groups (adjusted HR 0.799, 95% CI 0.534–1.197, p = 0.28). Time to respiratory hospitalization was significantly shorter in the treated group (adjusted HR 2.12, 95% CI 1.05–4.30, p = 0.04). No significant difference in time to pulmonary function decline was seen between groups.ConclusionsThis multicenter study demonstrated 63% of newly diagnosed IPF patients had continuous antifibrotic usage. Antifibrotics were not associated with improved transplant-free survival or pulmonary function change but was associated with an increased hazard of respiratory hospitalization. Future studies should further investigate the role of antifibrotic therapy in clinically important outcomes in real-world patients with IPF and other progressive ILDs.

Benign Natural Progression of Small Cavernous Carotid Aneurysms Suggests Limited Clinical Utility of Serial Longitudinal Follow-up.

Aneurysms in the cavernous segment of the internal carotid artery (ICA) often present in an indolent fashion with limited morbidity. However, their growth progression and possible rupture over time remains poorly defined, thereby limiting optimization of serial follow-up. Thus, we aim to describe the progression of cavernous ICA aneurysms over time, as well as the patient and aneurysm characteristics associated with possible growth and rupture status. We identified a consecutive cohort of 157 patients from 2007 to 2021 with cavernous ICA aneurysms. Patient demographic data, possible risk factors, presenting symptoms, radiographic features of aneurysms, size progression, rupture status, and concomitant noncavernous aneurysm rupture data were manually extracted. One hundred and fifty-seven patients (mean age at diagnosis 57.2 ± 15.6 years; 85.4% females) with 174 cavernous carotid aneurysms (CCAs) were followed for an average of 7.1 ± 4.8 years. 76.4% of aneurysms were identified incidentally, with predominantly ocular palsies as the presenting symptoms in remaining primary cases. Most aneurysms were small, and of the 168 aneurysms that were followed, 98.2% did not demonstrate appreciable growth. Of the aneurysms that grew, it took an average of 6.0 years to grow 1.6 ± 0.2 mm. Demographic data, hypertension, and smoking status were not associated with aneurysm growth. Most radiographic features also were not associated with growth, except long-axis diameter, which had an odds ratio of 1.4 (CI: 1.2, 1.8) on multivariable analysis. Presenting clinical symptoms were not associated with growth. No CCAs ruptured during follow-up. Cavernous ICA aneurysms in our series demonstrate no rupture and limited growth over years of clinical follow-up. No radiographic or patient risk factors were associated with growth except initial aneurysm size. Hence, small CCAs may not require close follow-up over time.

Feeding en route: Prey availability and traits influence prey selection by an avian predator on migration.

During animal migration, ephemeral communities of taxa at all trophic levels co-occur over space and time. The interactions between predators and prey along migration corridors are ecologically and evolutionarily significant. However, these interactions remain understudied in terrestrial systems and warrant further investigations using novel approaches. We investigated the predator-prey interactions between a migrating avivorous predator and ephemeral avian prey community in the fall migration season. We tested for associations between avian traits and prey selection and hypothesized that prey traits (i.e. relative size, flocking behaviour, habitat, migration tendency and availability) would influence prey selection by a sexually dimorphic raptor on migration. To document prey consumption, we sampled trace prey DNA from beaks and talons of migrating sharp-shinned hawks Accipiter striatus (n = 588). We determined prey availability in the ephemeral avian community by extracting weekly abundance indices from eBird Status and Trends data. We used discrete choice models to assess prey selection and visualized the frequency of prey in diet and availability on the landscape over the fall migration season. Using eDNA metabarcoding, we detected prey species on 94.1% of the hawks sampled (n = 525/588) comprising 1396 prey species detections from 65 prey species. Prey frequency in diet and eBird relative abundance of prey species were correlated over the migration season for top-selected prey species, suggesting prey availability is an important component of raptor-songbird interactions during fall. Prey size, flocking behaviour and non-breeding habitat association were prey traits that significantly influenced predator choice. We found differences between female and male hawk prey selection, suggesting that sexual size dimorphism has led to distinct foraging strategies on migration. This research integrated field data collected by a volunteer-powered raptor migration monitoring station and public-generated data from eBird to reveal elusive predator-prey dynamics occurring in an ephemeral raptor-songbird community during fall migration. Understanding dynamic raptor-songbird interactions along migration routes remains a relatively unexplored frontier in animal ecology and is necessary for the conservation and management efforts of migratory and resident communities.

Association between Dietary Habits and Nutritional Status among Adolescent Girls

Background: Adolescents with good eating habits are more likely than those with bad eating habits to learn normally and do better academically. Dietary habits refer to the long-term dietary patterns that an individual forms and maintains in his daily life. Objectives: The study aims to assess influence of dietary habits of adolescent girls on nutritional status and identify if their association between pattern of dietary habits and nutritional status among adolescent girls. Method: A cross-sectional study was conducted with 400 students from middle and secondary schools in Karbala City, Iraq. Data were collected from December 2o, 2023 to February 4, 2024, Data collection was performed using self-report instrument and it is organized into three sections, include, dietary habits, nutritional status and sociodemographic data. Data were analyzed utilizing descriptive and inferential statistics. Result: That 61% of female adolescents have normal weight and 20.2% of female adolescents have underweight but 12% of them have overweight. Exhibits that female adolescent having moderate dietary habits as reported among 73% of them (M±SD= 11.96 ± 1.81. Conclusion: The eating habits of adolescent’s girls do not affect the nutritional status, and most of them have healthy eating habits, while about one fifth of them have unhealthy eating habits, and more than a third of them had an abnormal body mass. Which indicates the importance of involving them in healthy awareness programs about healthy nutrition and ways to maintain a normal level of body mass.

Implementation Of Naïve Bayes Classifier And Support Vector Machine For Stunting Classification

Stunting is a condition when a child's physical growth and development are stunted or delayed due to a lack of adequate nutritional intake over a long period of time, especially during the early years of life. Indonesia still has a stunting prevalence rate above the WHO standard, which is at 21.6%. 2020 UN statistics recorded more than 149 million (22%) toddlers worldwide were stunted, of which 6.3 million were early childhood or stunted toddlers were Indonesian toddlers. This study aims to create a classification model using Data Mining Algorithms NBC and SVM to analyze and describe the class of a total of 2018 toddler nutritional status data in Lima Puluh Kota Regency. The results of this study are expected to be an evaluation of whether the stunting prevention program implemented has been successful, and can be the basis for creating the next program.

Innovative COVID-19 Point-of-Care Diagnostics Suitable for Tuberculosis Diagnosis: A Scoping Review.

Rapid and accurate point-of-care (POC) tuberculosis (TB) diagnostics are a key priority to close the TB diagnostic gap of 3.1 million people without a diagnosis. Leveraging the recent surge in COVID-19 diagnostic innovation, we explored the potential adaptation of commercially available SARS-CoV-2 tests for TB diagnosis, aligning with World Health Organization (WHO) target product profiles (TPPs). A scoping review was conducted following PRISMA-ScR guidelines to systematically map commercially available POC molecular and antigen SARS-CoV-2 diagnostic tests potentially meeting the TPPs for TB diagnostic tests for peripheral settings. Data were gathered from PubMed/MEDLINE, bioRxiv, and medRxiv, along with publicly accessible in vitro diagnostic test databases, and developer websites, up to November 23, 2022. Data on developer and test attributes, operational characteristics, pricing, and clinical performance were charted using standardized data extraction forms. Each identified test was evaluated using a standardized scorecard. A narrative synthesis of the charted data is presented. Our database search yielded 2,003 studies, from which 408 were considered eligible. Among these, we identified 58 commercialized diagnostic devices, including 17 near-POC antigen tests, one POC molecular test, 29 near-POC molecular tests, and 11 low-complexity molecular tests. We summarized the detailed characteristics, regulatory status, and clinical performance data of these tests. The LumiraDx (Roche, Switzerland) emerged as the highest- scoring near-POC antigen platform, while Visby (Visby, USA) was the highest-performing near-POC molecular platform. The Lucira Check-It (Pfizer, USA) was noted as the sole POC molecular test. The Idylla TM (Biocartis, Switzerland) was identified as the leading low- complexity molecular test. We highlight a diverse landscape of commercially available diagnostic tests suitable for potential adaptation to TB POC testing. This work aims to bolster global TB initiatives by fostering stakeholder collaboration, leveraging COVID-19 diagnostic technologies for TB diagnosis, and uncovering new commercial avenues to tackle longstanding challenges in TB diagnosis.

Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data

Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data

Risk Scoring System to Predict Mortality in Gastric Cancer with Peritoneal Carcinomatosis.

Gastric cancer (GC) with peritoneal carcinomatosis (PC) has a particularly unfavorable prognosis. This limited survival raises doubts about which factors confer an extremely worse outcome and which patients could benefit from more aggressive treatments, in an attempt to improve survival and better control the disease. This study aimed to evaluate the survival outcomes of patients with PC due to GC and develop a prognostic score to predict 6-month mortality. We performed an analysis of clinical stage IV GC with PC. Scores were assigned to risk factors and calculated for each patient from nine variables. Among 326 IVB GC, 211 (64.7%) had PC and were included. After calculating the score, 136 (64.5%) GCs were classified as a low-risk group and 75 (35.5%) as a high-risk group. Median OS was 7.9 and 1.9 months for low- and high-risk patients (p < 0.001). In the high-risk group, 77.3% of the patients died in <6 mo (p < 0.001). Palliative surgery and chemotherapy were associated with better survival, and the prognostic groups maintained statistical significance even when the same type of treatment was performed. In conclusion, the scoring system developed with variables related to patient performance status and clinical data was able to distinguish GC with PC with a high risk of 6-month mortality. Accordingly, verifying and validating our findings in a large cohort of patients is necessary to confirm and guarantee the external validation of the results.

Research of Model Characteristics based on Probability Statistics Method for Condition Evaluation of Hydropower Unit

Abstract The paper introduces the condition evaluation method of hydropower unit based on the health sample with the long time and massive condition monitoring data. By analysing the probability statistics characteristics of units’ status data, it designs the unit operating condition model, and makes the statistics analysis for two-dimension model, which consists of the unit feature value and single influence factor such as water head or active power, furthermore, it built and analyses the three-dimension condition model to get the different influence result by comparing the multi-dimension models. The statistical characteristics of unit operating condition model obtained can be the foundation and basis for implement of hydropower unit health condition evaluation.

Effectiveness of smoking cessation intervention based on the ABC Approach in patients with TB.

Urban setting in the Philippines. To assess the effectiveness of the ABC Approach developed by The Union as a tobacco-smoking cessation intervention for TB patients at a primary healthcare level in an urban setting in the Philippines. We set up an intervention group whose patients with TB received the ABC approach and a control group of patients with TB receiving only routine health education in Manila, The Philippines. We collected smoking status and the domestic secondhand-smoking (SHS) status data from patients with TB at months 0, 2, 4, 6, 8, and 12. TB treatment outcome data were also collected. Patients with TB (n = 2,174) were enrolled upon TB registration. Smoking rates were consistently low in the intervention group (3.9% vs. 8.7% at Month 6). The odds ratios of both tobacco-smoking status and domestic SHS status in the intervention group were significantly lower than those in the control group (tobacco-smoking status: P < 0.001, domestic SHS status: P < 0.01). TB treatment success rates were similar between the groups (85.0% vs. 87.3%; P = 0.201). The ABC approach successfully reduced tobacco-smoking rates, maintained low domestic SHS rates and TB treatment success rates in the Philippines.

Interrogating the tumor microenvironment (TME) in patients (pts) with head and neck mucosal squamous cell carcinoma (HNmSCC) treated with programmed death-1 (PD-1) inhibitors.

6048 Background: Survival in recurrent/metastatic HNmSCC remain poor. PD-1 inhibitors have become standard of care, demonstrating improved overall survival and toxicity when compared to chemotherapy and targeted therapy. Biomarkers such as PD-Ligand(L)1 combined proportion score (CPS) remain rudimentary, with CPS &gt;20 showing a response rate of only 23% to pembrolizumab (KEYNOTE-048). We used high-dimensional imaging mass cytometry (IMC) to explore predictive biomarkers in HNmSCC pts receiving PD-1 inhibitor-based therapy. Methods: We retrospectively analysed 27 formalin-fixed paraffin embedded tissue samples from 24 pts prior to receiving PD-1 inhibitor-based therapy between May 2016 – April 2021. Clinicopathological characteristics including PD-L1, p16 status, prior treatment and survival data were collected. Pts were classified into responders (RES, Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 complete response (CR) or partial response (PR), stable disease (SD) &gt;6 months (mths)) and non-responders (non-RES, RECIST SD &lt;6 mths or disease progression (PD)). An antibody panel (n = 40) was created to interrogate specific components of interest within the TME and was analysed by IMC using the HyperionTM Imaging System. Results: Of the 24 patients, 16/24 were male and median age 57.6 year. 8 pts were RES (RECIST CR, n = 1; PR, n = 3; SD &gt; 6 mths, n = 4) and 14 pts were non-RES (RECIST SD &lt; 6 mths, n = 1; PD, n = 11; clinical PD, n = 4). Four patients underwent rapid clinical disease progression prior to progress imaging and were categorised as non-RES. At time of data cut off on January 2024, and 23/24 pts had progressed on treatment. The cellular landscape within the TME was similar, irrespective of the location of the primary and p16 status. However, distinct immune profiles were observed between RES vs non-RES: RES showed higher infiltrates of CD4+ T cells, B cells, PD-1+ CD8+ T cells (P &lt; 0.05) and both central memory and effector memory T cell subsets (p &lt; 0.01). In contrast, non-RES showed high frequencies of CD44+ NK cells. Key cell interactions within the TME identified proliferating malignant squamous cells closely interacting with CD8+ T cells, CD4+ Tregs and endothelial cell in RES but not interacting in non-RES. Further spatial regional analysis identified a distinct tissue architecture with hallmarks of Tertiary Lymphoid-like Structures (TLS), present in higher proportions in RES. RES pts with TLS proportions &gt;20% (n = 3) had a progression free survival of 80.3 mths, 26.8 mths and NE (unrelated death at 15.6 mths). Conclusions: The findings of this study identify mechanisms of PD-1 inhibitor response and resistance in HNmSCC pts, providing a unique opportunity to guide combination strategies and improve outcome.

Demographics and survival outcomes of stage IV male breast cancer: A retrospective analysis of SEER database.

11142 Background: Male Breast Cancer (MBC) is a rare malignancy accounting for &lt;1% of all breast cancer cases in the United States. It is often lately diagnosed due to lack of awareness leading to substantial morbidity and mortality. Previous studies revealed higher risk of death among males compared to females across all stages, but little known about the impact of Hormone Receptor (HR) and Human Epidermal growth factor Receptor 2(HER 2) statuses on prognosis and survival among MBC patients. So, we aim to study the survival outcomes of stage IV MBC patients using SEER (Surveillance, Epidemiology, and End Results) data. Methods: A retrospective analysis was conducted using a SEER database and identified stage IV MBC cases (Any T, Any N, M1) diagnosed between 2010-2015. The selection of these years is based on the reporting of HER2 status on SEER database starting from 2010 and to ensure a current period and a minimum of 5 years of follow-up. Patient demographics, tumor HR/HER 2 status and survival data were extracted and analyzed. Subgroup analyses were performed to show the correlation between HR/HER 2 status and survival. Results: The study included 144 patients. 59.7%(86/144) were above 60 years of age. Majority were Caucasians up to 68.1%(98/144) followed by African Americans 18.7% (27/144), Hispanics 6.9%(10/144) and Asians/Pacific Islanders 6.2%(9/144). Among the subtypes, the most common was HR+/HER2- consisting of 69.4%(100/144) followed by HR+/HER2+ 19.4%(28/144), HR-/HER2- 9.7%(14/144), HR-/HER2+ 1.4%(2/144). The median overall survival varied among different subtypes of breast cancer and was noted to be 31.5 months, 25 months, 4.5 months and 10 months among HR+/HER2-, HR+/HER2+, HR-/HER2- and HR-/HER2+ respectively (Table). In the comparison between HR+/HER2+ and HR-/HER2-, the risk of death differed significantly, as indicated by a hazard ratio of 0.26 (95% CI 0.12-0.56, p = 0.001), highlighting a poor survival of HR-/HER2-. Conclusions: This retrospective analysis provides valuable insights into the demographics and survival outcomes of stage IV MBC patients. Triple negative (HR-/HER2-) subtype continues to have poor outcomes in males as well, emphasizing the need to explore novel treatment strategies to improve outcomes for this unique patient population. Although, treatment regimens for MBC are extrapolated from women, the disparity in survival across all subtypes requires the need to get more men on breast cancer clinical trials when feasible. [Table: see text]

Preliminary results correlating post-operative ctDNA status with disease-free survival in patients with stage II (high risk)/III colorectal cancer in the BNT000-001 epidemiology study.

3526 Background: Despite standard-of-care surgical resection and adjuvant chemotherapy (ACT), disease recurrence in patients (pts) with stage II or III colorectal cancer (CRC) remains high. Circulating tumor DNA (ctDNA) analysis post-surgery with curative intent may help to identify pts with minimal residual disease at risk for recurrence. We report preliminary results of the BNT000-001 study exploring the prevalence and prognostic value of ctDNA positivity post-surgery in pts with stage II (high-risk) / III CRC. Methods: The BNT000-001 (NCT04813627) epidemiological study is enrolling pts in US, Germany (including screening through the Colopredict registry study), Spain, and Belgium with resected high-risk (per NCCN guidelines) stage II / III CRC for longitudinal follow up of their ctDNA status post-surgery and ACT. The primary objective of the study is to estimate the prevalence of ctDNA positivity after surgery. Other objectives include evaluation of the prognostic value of ctDNA and identification of ctDNA positive pts who might be candidates for the interventional clinical trial BNT122-01 (NCT04486378). Disease-free survival (DFS) was measured from the post-surgery visit to disease recurrence/death and analyzed for all eligible pts who remain on study. ctDNA was analyzed using the laboratory developed AVENIO Oncology Assays (AOA) Surveillance test and reported as detected (“positive”), not detected (“negative”), or no result (“non-evaluable”). Results: 1094 pts have been screened, of which 874 pts were analyzed for post-surgery ctDNA status (data cutoff 15 Dec 2023). 142 pts were non-evaluable, resulting in 732 pts with defined ctDNA status. Prevalence of post-operative ctDNA positivity was 12.3% (90*/732). 87.7% (642/732) of pts were ctDNA negative. 826 pts were followed for the prognostic value of post-surgery ctDNA-positivity, excluding 48 ctDNA positive pts who transferred to the BNT122-01 treatment study. At a median follow-up time of 25.9 months, the median DFS of ctDNA positive pts was 12.16 months vs. median DFS not reached for ctDNA negative pts. The 12-month DFS rate was 55% for ctDNA positive vs. 92% for ctDNA negative pts. Of note, our analyses support the identification of ctDNA negative T4N2 pts as a high-risk group for recurrence. Post-surgery ctDNA positivity was associated with significantly increased risk for disease recurrence or death, with a hazard ratio of 10.2. Conclusions: This study supports existing evidence of the prognostic value of post-operative ctDNA in CRC pts. In ctDNA positive pts, the 12-month DFS rate was almost halved (55% vs. 92% in ctDNA negative). Clinical trial information: NCT04813627 . [Table: see text]

Body mass index as the main predictor for length of stay in COVID-19 patients with mild and moderate symptoms: a cross-sectional study in COVID-19 emergency hospital in Indonesia

Introduction: COVID-19 emerged as a novel global health crisis. While it has since been downgraded from its status as a public health emergency of international concern, the virus persists as a global health challenge. This study was aimed to analyze the predictors of LoS in COVID-19 patients based on nutritional status and patient characteristics data. Methods: Participants of this study were the COVID-19 patients with mild to moderate symptoms who registered in COVID-19 Emergency Hospital, East Java, Indonesia. This study involved 2850 patients extracted from medical records for further analysis. Body mass index (BMI) was generated following the standard formula measured on the first day of hospitalization. LoS was determined by the number of days of hospitalization. The Chi-square automatic interaction detection (CHAID) algorithm was employed for model building. Results: Most participants were overweight (34.6%) and obese (17.2%). Only a few participants were hospitalized with comorbidities such as hypertension (11.6%) and diabetes mellitus (4.1%). The predictive model of LoS indicated that BMI was the main predictor of COVID-19 LoS, with higher BMI showed to prolong the LoS of mild to moderate symptoms patients. Other than BMI, gender and symptoms were also indicated as COVID-19 LoS predictors. Conclusions: Nutritional status is one of the predictors of LoS in COVID-19 patients. Having higher BMI tends to prolong the LoS, especially in male and having fever. LOS was also seen among those with lower BMI less than 18.5, in patients who had cold and flu.