Preventive Measures Research Articles

The short-term effects of individual and mixed ambient air pollutants on suicide mortality: A case-crossover study

It is critical to explore intervenable environmental factors in suicide mortality. Based on 30,688 suicide cases obtained from the Mortality Surveillance System of the Jiangsu Provincial Centre for Disease Control and Prevention, we utilized a case-crossover design, and found that the OR of suicide deaths increased by a maximum of 0.71 % (95 % CI: 0.09 %, 1.32 %), 0.68 % (95 % CI: 0.12 %, 1.25 %), 0.77 % (95 % CI: 0.19 %, 1.37 %), 2.95 % (95 % CI: 1.62 %, 4.29 %), 4.18 % (95 % CI: 1.55 %, 6.88 %), and 0.93 % (95 % CI: 0.10 %, 1.77 %), respectively, for per 10 μg/m3 increase in the particulate matter (PM) with diameters ≤ 2.5 µm (PM2.5), PM with diameters ≤ 10 µm (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and per 0.1 mg/m3 increase in carbon monoxide (CO) concentrations with the conditional logistic regression analysis. People living in county-level cities were more susceptible. Particularly, a significant positive association was found between air pollutant mixture exposure and suicide deaths (OR=1.04,95 % CI: 1.01, 1.06). The excess fraction of suicide deaths due to air pollution reached a maximum of 8.07 %. In conclusion, we found associations between individual and mixed ambient air pollutants and suicide deaths, informing the development of integrated air pollution management and targeted measures for suicide prevention and intervention. Environmental ImplicationAs a major contributor to the global burden of disease, air pollution was confirmed by accumulating studies to have adverse impact on mental health, and potentially lead to suicide deaths. However, systematic studies on the association between air pollution and suicide mortality are lacking. We explored the associations of multiple air pollutants and pollution mixtures with suicide deaths and assessed excess suicide mortality due to air pollution, emphasizing the importance of air pollution control on suicide prevention. Our study provides evidence to support mechanistic studies on the association between air pollution and suicide, and informs comprehensive air pollution management.

Occupation-based demographic, clinical, and psychological presentation of spine pain: A retrospective analysis of 71,727 patients from urban India.

Although many studies have investigated the physical and ergonomic risks of spine pain in specific occupation groups, the literature is lacking on occupation-based clinical and psychological presentation in patients with spine pain. To analyze occupation-based variation in demographic, clinical, and psychological presentation in patients with spine pain. This retrospective study analyzed the clinical data of 71727 patients with spine pain visiting a chain of spine rehabilitation clinics. Demographic and clinical variables such as gender, age, affected site, symptom duration, clinical symptoms and presentation, pain intensity, disability, and STarT Back Screening Tool (SBT) risk were compared between 9 occupational groups. The service and sales workers (44%) and students (43.5%) groups had the highest percentage of patients who presented with central spine pain; military personnel had the highest percentage of patients who presented with unilateral radicular pain (51.5%); and the retired or unemployed group had the highest percentage of patients who presented with severe myotomal loss (grade≤3) (6%). Homemakers had significantly higher pain intensity and disability (p <  0.001) and had the highest percentage of patients who presented with severe pain (47%), severe and crippled disability (59.5%), and medium to high risk (59%) with SBT when compared to other occupational groups. Patients with spine pain showed variation in demographic, clinical, and psychological presentation based on their occupation. The findings of this study can be the basis for identifying risk factors for spine pain and helping plan preventive and treatment measures based on their occupation.

Comprehensive spatial distribution of patients with first-episode psychosis (FEP) and its relation to socio-economic factors.

The functional-cognitive impact of first-episode psychosis (FEP) is extremely relevant and implies dysfunction from early life stages like adolescence and youth. Like other illnesses, FEP incidence is also influenced by environmental factors. It is necessary to attend to this age group with early interventions and to act on the environmental factors that the literature correlates with increased FEP incidence: socio-economic aspects, social adversity, bullying at school or cannabis use. In this context, identifying the areas of cities where FEP patients concentrate is important to perform early interventions. The spatial analysis of patient distribution in a whole city is one way to identify the most vulnerable areas and to propose psycho-social interventions for the possible prevention and/or early detection of FEP by improving urban mental health. An epidemiological study of point patterns to determine the areas of a city with a higher incidence of patients with FEP. To do so, the addresses of FEP cases were georeferenced from 1 January 2016 to 31 October 2022, and 109 FEP patients were analysed. Data from a random sample of 383 controls, comprising their addresses, age, and sex, were randomly obtained from the official city council database. By GIS, the areas with higher FEP incidence were analysed to see if they coincided with the zones where inhabitants with lower incomes lived. The risk ratio of the FEP patients was compatible with the constant risk ratio in Albacete (p = 0.22). When performing the process separately with cases and controls only in men and women, the results were not significant for both distributions (p value: 0.12 and 0.57, respectively). Nonetheless, areas within the city had a significantly higher risk. These groups of cases coincided with those who had lower income and more inequality for women, but this pattern was not clear for men. Classifying city areas per income can help to determine the zones at higher risk of FEP, which would allow early healthcare and preventive measures for these zones.

A bibliometric analysis on the health behaviors related to mild cognitive impairment

BackgroundMild cognitive impairment (MCI) is commonly defined as a transitional subclinical state between normal aging and dementia. A growing body of research indicates that health behaviors may play a protective role against cognitive decline and could potentially slow down the progression from MCI to dementia. The aim of this study is to conduct a bibliometric analysis of literature focusing on health behaviors and MCI to summarize the factors and evidence regarding the influence of health behaviors on MCI.MethodsThe study performed a bibliometric analysis by retrieving publications from the Science Citation Index and Social Sciences Citation Index sub-databases within the Web of Science Core Collection. Utilizing VOSviewer and CiteSpace software, a total of 2,843 eligible articles underwent co-citation, co-keywords, and clustering analyses. This methodology aimed to investigate the current status, trends, major research questions, and potential future directions within the research domain.ResultsThe bibliometric analysis indicates that research on healthy behaviors in individuals with MCI originated in 2002 and experienced rapid growth in 2014, reflecting the increasing global interest in this area. The United States emerged as the primary contributor, accounting for more than one-third of the total scientific output with 982 articles. Journals that published the most articles on MCI-related health behaviors included “Journal of Alzheimer’s Disease,” “Neurobiology of Aging,” “Frontiers in Aging Neuroscience,” and other geriatrics-related journals. High-impact papers identified by VOSviewer predominantly cover concepts related to MCI, such as diagnostic criteria, assessment, and multifactorial interventions. Co-occurrence keyword analysis highlights five research hotspots in health behavior associated with MCI: exercise, diet, risk factors and preventive measures for dementia, cognitive decline-related biomarkers, and clinical trials.ConclusionThis study provides a comprehensive review of literature on health behavior in individuals with MCI, emphasizing influential documents and journals. It outlines research trends and key focal points, offering valuable insights for researchers to comprehend significant contributions and steer future studies.

Maize leaf disease recognition using PRF-SVM integration: a breakthrough technique

The difficulty of collecting maize leaf lesion characteristics in an environment that undergoes frequent changes, suffers varying illumination from lighting sources, and is influenced by a variety of other factors makes detecting diseases in maize leaves difficult. It is critical to monitor and identify plant leaf diseases during the initial growing period to take suitable preventative measures. In this work, we propose an automated maize leaf disease recognition system constructed using the PRF-SVM model. The PRFSVM model was constructed by combining three powerful components: PSPNet, ResNet50, and Fuzzy Support Vector Machine (Fuzzy SVM). The combination of PSPNet and ResNet50 not only assures that the model can capture delicate visual features but also allows for end-to-end training for smooth integration. Fuzzy SVM is included as a final classification layer to accommodate the inherent fuzziness and uncertainty in real-world image data. Five different maize crop diseases (common rust, southern rust, grey leaf spot, maydis leaf blight, and turcicum leaf blight along with healthy leaves) are selected from the Plant Village dataset for the algorithm’s evaluation. The average accuracy achieved using the proposed method is approximately 96.67%. The PRFSVM model achieves an average accuracy rating of 96.67% and a mAP value of 0.81, demonstrating the efficacy of our approach for detecting and classifying various forms of maize leaf diseases.

Hepatitis B Virus Infection: A Mini Review

Hepatitis B and C viruses (HBV and HCV) are the leading causes of end-stage liver disease worldwide. Although there is a potent vaccine against HBV, many new infections are recorded annually, especially in poorly resourced places which have lax vaccination policies. Again, as HBV has no cure and chronic infection is lifelong, vaccines cannot help those already infected. Studies to thoroughly understand the HBV biology and pathogenesis are limited, leaving much yet to be understood about the genomic features and their role in establishing and maintaining infection. The current knowledge of the impact on disease progression and response to treatment, especially in hyperendemic regions, is inadequate. This calls for in-depth studies on viral biology, mainly for the purposes of coming up with better management strategies for infected people and more effective preventative measures for others. This information could also point us in the direction of a cure. Here, we discuss the progress made in understanding the genomic basis of viral activities leading to the complex interplay of the virus and the host, which determines the outcome of HBV infection as well as the impact of coinfections.

The Territorial Distribution of Incidence with Urogenital Chlamydia, Gonorrhea, and their Associated Complications in the Russian Federation

Relevance. Urogenital chlamydia is one of the most common sexually transmitted infections. Chlamydia often presents with minimal or no symptoms. However, it can be a major cause of pelvic inflammatory disease (PID), infertility, and ectopic pregnancy in women, as well as epididymitis, orchitis, and infertility in men. Aim. To study the territorial patterns of incidence of urogenital chlamydia, gonorrhea, and their associated complications in the Russian Federation in 2011 to 2019. Materials and methods. Official statistics on the incidence of urogenital chlamydia, gonorrhea, PID, female and male infertility in the Russian Federation were analyzed. Statistical analysis, graphing, table creation, data visualization, and research results analysis were conducted using Microsoft Excel 2010 and IBM SPSS Statistics 22 software. GIS mapping was performed using the GIS «Axioma». Results and discussion. From 2011 to 2019, the Russian Federation observed a decrease in the incidence of urogenital chlamydia, gonorrhea, and PID, while there was an increase in the incidence of male and female infertility. The geographical distribution remained stable, with areas characterized by consistently low and high incidence rates. A correlation was found between the incidence of urogenital chlamydia, gonorrhea, and their complications. The association between gonorrhea and PID was found to be more significant than the association between chlamydia and PID, possibly due to the higher risk of complications associated with gonorrhea. However, no correlation was found between gonorrhea and infertility, possibly because this complication manifests with a time delay and has multifactorial causes. Conclusions. Based on the presented data, it can be concluded that the incidence of urogenital chlamydia and gonorrhea affects the frequency of male and female infertility. Therefore, the implementation of screening examinations for sexually active individuals of reproductive age using appropriate laboratory diagnostic methods, along with the development of preventive measures for sexually transmitted infections, including urogenital chlamydia, is justified and should be widely practiced.

Recycled mask polypropylene microfibers benefit tensile properties and prevent thermally induced spalling of high-strength engineered cementitious composite (HS-ECC)

The COVID-19 pandemic has led to a significant amount of waste medical masks being generated, which if not properly managed would pose a substantial risk to the natural environment. In this context, this study focuses on upcycling the waste medical mask propylene (PP) microfibers in high-strength engineered cementitious composites (HS-ECC) to mitigate its explosive spalling issue upon fire exposure. At ambient temperature, the compressive strength of Ref-ECC (without PP microfibers) reached 96.4 MPa, and the incorporation of recycled mask fibers (RMFs) up to 0.5 vol% had a negligible effect on it. The incorporation of low-cost RMFs benefited the uniaxial tensile properties of HS-ECC. For instance, at 25 °C, the incorporation of 0.5 vol% RMFs increased the tensile strain capacity and tensile strength of the HS-ECC to 2.60% and 7.9 MPa, from those of the Ref-ECC (2.03% and 7.1 MPa), respectively. The 0.5 vol% RMFs in the HS-ECC increased the tensile strain capacity to 3.80% at 60 °C, 4.50% at 90 °C and 5.23% at 120 °C notwithstanding their reduced tensile strength, respectively. The RMFs in the HS-ECC induced inner (sub)micron-sized cracks after thermal exposures, facilitating multi-cracking behavior. After 600 °C/2h heating, severe spalling occurred in the Ref-ECC cylinder specimens, demonstrating that polyethylene (PE) fibers alone (at 1.8 vol%) cannot prevent spalling upon fire exposure. However, the incorporation of RMFs (as little as 0.3 vol%) was proven as an effective preventive measure against the explosive spalling phenomenon in HS-ECC.

-A machine learning model to predict surgical site infection after surgery of lower extremity fractures.

This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures. A machine learning analysis was conducted on a dataset comprising 1,579 patients who underwent surgical fixation for lower extremity fractures to create a predictive model for risk stratification of postoperative surgical site infection. We evaluated different clinical and demographic variables to train four machine learning models (neural networks, boosted generalised linear model, naïve bayes, and penalised discriminant analysis). Performance was measured by the area under the curve score, Youdon's index and Brier score. A multivariate adaptive regression splines (MARS) was used to optimise predictor selection. The final model consisted of five predictors. (1) Operating room time, (2) ankle region, (3) open injury, (4) body mass index, and (5) age. The best-performing machine learning algorithm demonstrated a promising predictive performance, with an area under the ROC curve, Youdon's index, and Brier score of 77.8%, 62.5%, and 5.1%-5.6%, respectively. The proposed predictive model not only assists surgeons in determining high-risk factors for surgical site infections but also empowers patients to closely monitor these factors and take proactive measures to prevent complications. Furthermore, by considering the identified predictors, this model can serve as a reference for implementing preventive measures and reducing postoperative complications, ultimately enhancing patient outcomes. However, further investigations involving larger datasets and external validations are required to confirm the reliability and applicability of our model.

Modeling oil spill disasters using system dynamics: A case study on the MT Princess Empress oil spill in Oriental Mindoro, Philippines

Oil spill events pose potentially irreversible threats to the environment and economy of affected communities, necessitating a comprehensive analysis of their dynamics. This study employs system dynamics (SD) modeling to enhance the current understanding of the complex dynamics associated with oil spill incidents, focusing on the case of the MT Princess Empress oil spill in the Philippines last February 2023. The research integrates quantitative and qualitative data to develop a dynamic simulation model that captures the interdependencies among key variables, such as spill characteristics, environmental factors, response measures, resource allocation, and socio-economic impacts. Model validation was performed by comparing the results of the simulation with historical data from the MT Princess Empress incident. Sensitivity analysis was then conducted to identify critical factors influencing the system's behavior. Among oil spill size, initial recovery resources, resource support delay, and cash assistance to affected individuals, oil spill size was determined to have the most significant effect on the oil spill system owing to the amplification of negative consequences via reinforcing feedback loops. The research findings thus underscore the effectiveness of preventive measures as the primary strategy for mitigating the consequences of oil spills. Sustainable recovery for communities affected by such incidents also necessitates a shift towards long-term rehabilitation initiatives and proactive community engagement rather than relying on short-term solutions.

Optimal Timing and Duration of Beta-Blocker Therapy for Preventing Postoperative Atrial Fibrillation: A Literature Review

This literature review explores the intricate landscape of postoperative atrial fibrillation (POAF), a common complication that arises following heart surgery. The analysis highlights the significant risks associated with POAF, including stroke, extended hospital stay, and increased healthcare costs. POAF, together with its transient character, indicates an augmented susceptibility to atrial fibrillation in the long run. Despite extensive research on preventive measures, such as beta-blocker medication, uncertainties remain regarding the optimal timing and duration of beta-blocker therapy for preventing POAF. The existing evidence suggests that starting beta-blocker treatment early, ideally within the first 24–48 hours after surgery, may be effective in reducing the occurrence of POAF. Nevertheless, there is a noticeable absence of agreement regarding the optimal length of this therapy. Conflicting viewpoints arise, with certain research calling for brief therapies, while others propose the possible benefits linked to extended treatment. This review highlights the urgent requirement for more research to precisely adjust guidelines, taking into account patient-specific factors and considering the consequences for long-term results. The call to action entails a request for the implementation of uniform definitions, the conduct of prospective randomized controlled trials, and the utilization of larger sample sizes in future investigations. These characteristics are considered critical in providing the medical community with strong evidence, which is crucial for making well-informed therapeutic decisions.

Abstract PO5-09-09: Incidence of Breast Cancer in Hispanic Women Across the US: A Focus on Texas

Abstract Introduction Breast cancer (BC) is one of the most common cancers affecting the female population in the United States, particularly among the Hispanic community. According to the CDC, the incidence rate of new breast cancer cases in Hispanic women is 95.6 per 100,000 annually, and the mortality rate is 13.7 per 100,000 women annually. Texas is home to one of the largest Hispanic communities in the US. By analyzing the prevalence, mortality, and access to healthcare services in Texas, we can shed light on the unique aspects of breast cancer within the Hispanic population. Overall, this study will provide valuable insights and identify potential avenues for reducing disparities and improving healthcare outcomes for Hispanic women affected by breast cancer. Materials and methods This study used comparative data from State Cancer Profiles on the CDC and NIH databases. The database was used to generate an overall comparison of breast cancer in Hispanic women across different US states. Comparison factors analyzed include incidence, mortality, insurance, and screening efforts. Significant differences were noted especially in Texas. Graphs and quantitative data for comparison factors were generated. This data is from 2015-2019 unless noted. Results The incidence of breast cancer in Hispanic women in Texas (TX) is 93.5 (Age-Adjusted Incidence Rate-cases per 100,000) with a CI of (92.2-94.8). The incidence of BC in Hispanic women in the US averages 99.0 with a CI of 98.7-99.9. From the incidence data, Hispanic women in Texas have a lower overall incidence of BC compared to the rest of the Hispanic females in the US. When analyzing the mortality rate, Hispanic women in TX have an Age-Adjusted Death Rate (deaths per 100,000) of 15.2 (CI of 14.7-15.8). In the US, Hispanic women have an Age-Adjusted Death Rate (deaths per 100,000) of 13.0 (CI of 13.4-13.9). To analyze preventative measures, a graph reporting mammogram use in 2020 by state was gathered. In TX 2020, the estimated age-adjusted prevalence of mammograms among Hispanic females from 50-74 years old was 75.0% (CI of 67.0%-81.7%). Nationally, the age-adjusted prevalence among Hispanic females 50-74 years who reported mammogram screening in 2 years was 79.7% (CI of 76.6 – 82.4). As for Texas insurance rates in 2020, Hispanic women under 65 years old, 27.4 % reported being uninsured. In comparison, other ethnicities such as African American (non-Hispanic) women, 16.5% reported to be uninsured, and white (non-Hispanic) women in Texas 11.8 % reported to be uninsured. Additionally, to further analyze if the lack of preventative measures was causing women to have a higher mortality rate, the instance of late-stage diagnosis of BC in Texan Hispanic women was analyzed. The age-adjusted incidence rate of late-stage breast cancer in Hispanic women was reported to be 33.4 (CI of 32.6-34.2) and the national incidence of late-stage BC in Hispanic women is 35.0 (CI of 35.1-35.8). Conclusion Even with Texas having one of the largest Hispanic communities, Hispanic women with breast cancer in Texas are faced with obstacles that lead to an increase in their mortality rate. As seen in the results, Hispanic women have less incidence of BC (including late stage) than their equivalent across the US but Hispanic women in TX have higher mortality rates in comparison. This is additionally accompanied by a decrease in insured women and a decrease in the utilization of cancer screenings. Lack of access to affordable healthcare and lack of regulatory cancer screenings cause Hispanic women to meet their premature death. Further analysis of the effects of affordable health care or further molecular investigation of this population is encouraged to research to fully conclude the reason behind this population's disparities. Citation Format: Catalina Esguerra, Kemely Santos Barbosa, Roy Khalife, Anthony Magliocco. Incidence of Breast Cancer in Hispanic Women Across the US: A Focus on Texas [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-09-09.

Protecting the vulnerable: addressing the COVID-19 care needs of people with compromised immunity

While the general population regained a certain level of normalcy with the end of the global health emergency, the risk of contracting COVID-19 with a severe outcome is still a major concern for people with compromised immunity. This paper reviews the impact of COVID-19 on people with immunocompromised status, identifies the gaps in the current management landscape, and proposes actions to address this unmet need. Observational studies have demonstrated that people with immune dysfunction have a higher risk of COVID-19–related hospitalization and death, despite vaccination, than the general population. More research is needed to define the optimal prevention and treatment strategies that are specific to people with immunocompromised status, including novel vaccination strategies, monoclonal antibodies that provide passive immunity and complement suboptimal vaccination responses, and improved and safer antiviral treatment for COVID-19. Preventive measures beyond vaccination alone are urgently needed to protect this vulnerable population.

Occurrence and Outcome of Infective Endocarditis after Surgical Compared to Transcatheter Pulmonary Valve Implantation in Congenital Heart Disease.

Background: Conflicting data exist on the occurrence and outcome of infective endocarditis (IE) after pulmonary valve implantation. Objectives: This study sought to assess the differences between transcatheter pulmonary valve implantation (TPVI) and surgical pulmonary valve replacement (SPVR). Methods: All patients ≥ 4 years who underwent isolated pulmonary valve replacement between 2005 and 2018 were analyzed based on the data of a major German health insurer (≈9.2 million insured subjects representative of the German population). The primary endpoint was a composite of IE occurrence and all-cause death. Results: Of 461 interventions (cases) in 413 patients (58.4% male, median age 18.9 years [IQR 12.3-33.4]), 34.4% underwent TPVI and 65.5% SPVR. IE was diagnosed in 8.0% of cases during a median follow-up of 3.5 years. Risk for IE and all-cause death was increased in patients with prior IE (p < 0.001), but not associated with age (p = 0.50), sex (p = 0.67) or complexity of disease (p = 0.59). While there was no difference in events over the entire observational time period (p = 0.22), the time dynamics varied between TPVI and SPVR: Within the first year, the risk for IE and all-cause death was lower after TPVI (Hazard Ratio (HR) 95% CI 0.19 (0.06-0.63; p = 0.006) but increased over time and exceeded that of SPVR in the long term (HR 10.07 (95% CI 3.41-29.76; p < 0.001). Conclusions: Patients with TPVI appear to be at lower risk for early but higher risk for late IE, resulting in no significant difference in the overall event rate compared to SPVR. The results highlight the importance of long-term specialized care and preventive measures after both interventions.

Managing infectious challenges in the age of molecular-targeted therapies for adult hematological malignancies.

Over the last decade, the therapeutic landscape for hematological malignancies (HMs) has witnessed a remarkable surge in the development of novel biological and small-molecule-targeted immunomodulatory agents. These therapies have drastically improved survival, but some come at the cost of increased risk of bacterial, viral, and/or fungal infections and on-target off-tumor immunological side effects. To mitigate such risks, physicians must be well informed about infectious complications and necessary preventive measures, such as screening, vaccinations, and antimicrobial prophylaxis. Furthermore, physicians should be vigilant about the noninfectious side effects of these agents that can mimic infections and understand their potential drug-drug interactions with antimicrobials. Strengthening and harmonizing the current surveillance and reporting system for drug-associated infections in real-world settings is essential to better ascertain the potential infections associated with these agents. In this review, we aimed to summarize the infection risks associated with novel agents used for specific HMs and outline recommended strategies for monitoring and prophylaxis.

Predominance of OXA-48 carbapenemase-producingKlebsiella pneumoniae strains in tertiary hospital in Sarajevo, Bosnia and Herzegovina.

Klebsiella pneumoniae, a member of the Enterobacteriaceae family, demonstrates an increasing trend of resistance to carbapenems and is a common cause of both hospital- and community-acquired infections. The current study provides insights into the genetic characterization of carbapenem-resistant Klebsiella pneumoniae (CRKP) isolates circulating during 2022 in a Sarajevo tertiary hospital. Among the 87 CRKP strains analyzed, real-time polymerase chain reaction (rtPCR) results showed that 85 (97.7%) tested positive for the carbapenem resistance gene. The oxacillinase-48 (OXA-48) gene was detected in 83 (95.4%) isolates, while the Klebsiella pneumoniae carbapenemase (KPC) and the New Delhi metallo-beta-lactamase (NDM) genes were detected in one isolate each. No Verona integron-encoded-metallo-beta-lactamase (VIM) or imipenemase-metallo-beta-lactamase 1 (IMP-1) genes were found in any of the tested isolates. The multilocus sequence typing (MLST) analysis of sequence types (STs) revealed that ST101, an emerging high-risk clone exhibiting extensive drug resistance, was the most prevalent, whereas ST307 was detected in only one isolate. Phylogenetic analysis of the ten CRKP isolates indicated the presence of three clusters that could constitute an outbreak. A comparison of the results of the utilized phenotypic test (the combined-disk test [CDT]) and rtPCR showed high concordance, suggesting that the phenotypic assay may be useful for the early detection of resistance mechanisms as part of routine susceptibility testing. With the increased affordability of next-generation sequencing (NGS), its application in hospital settings has proven highly beneficial, aiding in the implementation of infection control and prevention measures. Given the significant resistance demonstrated by the CRKP isolates to most tested antibiotics, it is imperative to establish effective methods to restrict the spread of these isolates, as well as to carefully monitor the use of carbapenems in clinical practice.

Abstract PO4-11-01: Validation of a CARG-BC-based score for the prediction of therapy-induced toxicities in patients with metastatic breast cancer

Abstract Introduction Prediction of treatment-induced toxicities is important in order to tailor and adjust oncologic therapies. As limited tools exist to predict the risk of therapy-induced toxicities in patients with metastatic cancer, we aimed to develop and to validate a score for the prediction of therapy-induced toxicities in patients with metastatic breast cancer treated with chemotherapy and immunotherapy. The score was based on the Cancer and Aging Research Group-Breast Cancer early-stage breast cancer score for prediction of chemotherapy-induced toxicities. Methods All patients treated for metastatic breast cancer with chemotherapy and immunotherapy at the Department of Gynecology, Obstetrics and Reproductive Medicine at Saarland University Hospital between 01/2014 and 05/2022 were included in this retrospective study. Patient characteristics and therapy-relevant oncological parameters were recorded, as well as therapy-induced toxicities (recorded according to CTC), hospitalization rates, toxicity-related dose reductions and therapy discontinuations. In the first cohort (development cohort), a new score for the prediction of therapy-induced toxicities was developed using ROC analysis and multivariate analysis based on the CARG-BC score. In the second cohort (validation cohort), this was validated using Pearson’s correlation coefficient. Results Data from 32 patients were analyzed for the development cohort, and inclusion of 102 patients contributed to the validation cohort. The newly developed score consists of seven independent factors for the prediction of toxicities ≥ CTC III° and includes the parameters “presence of visceral metastases” (yes/no), “received previous lines of therapy” (yes/no), “limited mobility/able to walk less than one kilometer” (yes/no), “a fall in the last six months” (yes/no), “social interactions” (yes/no), “pretherapeutic change of transaminases” (yes/no) and “pretherapeutic change of hemoglobin” (hemoglobin &amp;lt;/&amp;gt; 10 g/dl). Based on the results, three risk groups were defined (low (0-2), medium (3-5) and high (6-15) risk). 28% of patients were in the low-risk group, 37% in the intermediate-risk group and 34% in the high-risk group. Overall, 49% of the patients had toxicities ≥ CTC III°. Distributed across the subgroups, these occurred in 14% in the low-risk group, 34% in the intermediate-risk group and in 52% in the high-risk group (p ≤ 0.01). Risk score results showed a correlation with treatment discontinuation and hospitalization rate (p ≤ 0.01), but not with dose reduction (p = 0.77). Conclusion The available data show a correlation between the risk score results and the occurrence of systemic therapy-induced toxicities in patients with metastatic breast cancer. The results can be used to further identify risk populations and to systematically apply preventive and supportive measures in order to approve quality of life in patients with metastatic breast cancer. Citation Format: Julia SM Zimmermann, Aylin Aygün, Askin Kaya, Marc P Radosa, Christoph G Radosa, Erich F Solomayer, Julia C Radosa. Validation of a CARG-BC-based score for the prediction of therapy-induced toxicities in patients with metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-11-01.

Crafting a healthier future: exploring the nexus of product design, digital innovations and dynamic marketing for obesity prevention. A literature review

PurposeThe current work aims to present a review of academic literature that systematizes the body of knowledge related to marketing and consumer behavior in order to identify the most effective variables that encourage the consumer towards a proper and better lifestyle, accordingly the paradigm of management, marketing and technology efforts to promote a “better” society preventing obesity.Design/methodology/approachA literature review was carried out to examine the studies of marketing and consumer behavior published in international peer-reviewed journals over the last twenty-three years (2000–2023). Our review finally considered a total amount of 46 articles.FindingsFindings elucidate three overarching themes and associated sub-hemes, encompassing: (1) Product design for obesity prevention, including aspects such as labeling, nomenclature, packaging and assortment; (2) Technology-supported preventive measures, involving mobile applications, self-monitoring, short message services and digital therapeutics; and (3) Marketing and communication strategies, incorporating social advertising, nudge, social influence and initiatives targeting childhood obesity prevention. Furthermore, a comprehensive research agenda is presented, delineating potential avenues for future investigations predicated on the utility of the results in fostering subsequent endeavors within the realms of: efficacy and effectiveness studies; personalization and tailoring; behavioral change techniques and gamification; user experience and acceptance; cost-effectiveness and implementation; as well as ethical and privacy concerns.Research limitations/implicationsMain limitations are related to the characteristics of the analyzed literature, resulting in only English journal articles, book chapter and so on. Thus, other relevant contributions in different languages discussing interesting insights might have been neglected.Practical implicationsThis study offers several insights to managers, marketers and policymakers involved in the issue of the obesity prevention. Since obesity represents a crucial challenge for public health at a global level, with its incidence reaching epidemic proportions in recent decades, the results may be extremely useful and powerful because suggesting – by employing a robust resulting corpus of knowledge on this domain – several practical features, actions and tactics to face such an important challenge. Moreover, this paper offers for scholar and researcher a systematized knowledge around the issues of obesity prevention, together with a detailed research agenda emerging by the critical analysis of the emerging insights, and to practitioners systematized useful insights to project and develop their future business strategies.Social implicationsBy providing several actions and tactics for obesity prevention (e.g. as for product labeling, naming, packaging, assortment; the exploitation of new technologies for mobile applications design, self-monitoring, short message service (SMS) alert systems, digital therapeutics; the role of social advertising, nudge, social influence) this work perfectly match the emerging societal orientation related to business, marketing and technology efforts to create a “better” society.Originality/valueThe study shed lights the need for a holistic approach to obesity prevention, involving interaction between individual main topics. Importantly this is the first study to analyze the issue of obesity prevention by considering a multidisciplinary corpus of literature, analyzed trough an individual-centric orientation.

Abstract PO1-20-03: Acupuncture for Preventing Progression of Taxane-Induced PeripheralNeuropathy (ATP): A Phase II Randomized, Placebo Controlled Trial

Abstract Background: Chemotherapy-induced peripheral neuropathy (CIPN) from chemotherapy drugs such as taxanes can be detrimental to cancer survival, increasing the risk of falls and worsening physical functions. However, there is no effective treatment or preventative measure for CIPN. The current management of worsening and persistent CIPN during chemotherapy is dose reduction or discontinuation of chemotherapy. Our group previously completed a single-arm phase IIA pilot trial of women who developed National Cancer Institution Common Terminology Criteria for Adverse Events (NCI-CTCAE) grade 2 CIPN during weekly paclitaxel for stage I-III breast cancer. The result suggested an acupuncture intervention for grade 2 CIPN might slow CIPN progression during chemotherapy. However, the role of acupuncture still needs to be better defined. Trial design: The ATP trial is a two-arm, parallel, randomized controlled trial comparing weekly real acupuncture (RA) versus sham acupuncture (SA) during preplanned curative intent taxane containing regimens in patients with breast cancer. The study will include two phases: screening and intervention. In the screening phase, eligible patients will consent and receive CIPN screening each week. Patients who develop grade 1 CIPN or higher based on NCI-CTCAE version 5.0 will be consented to the intervention phase and randomized to receive either weekly RA or SA using a standardized, semi-fixed protocol developed in our preliminary studies to improve CIPN pain. Eligibility criteria for the screening phase: English or Spanish-proficient; aged ≥18 years; histological diagnoses of invasive carcinoma of the breast; and plan to receive curative intent chemotherapy regimen containing paclitaxel or nab-paclitaxel weekly or biweekly as standard of care. Eligibility criteria for the intervention phase: in additional to the screening phase eligibility criteria, developed CIPN grade ≥1 based on the NCI-CTCAE version 5.0, while receiving taxane; ≥ four weeks of paclitaxel or nab-paclitaxel weekly or biweekly planned, as standard of care and at treating physician’s discretion; willing to adhere to requirement that no new pain medication or dose changes be taken throughout the first 12 weeks of the study period; and willing to adhere to all study-related procedures, including randomization to one of the two possible acupuncture treatments. Specific aims: The primary aim is to evaluate the effectiveness of RA versus SA in preventing taxane-induced peripheral neuropathy progression as measured by Neuropathic Pain Scale (NPS) in patients with early-stage breast cancer who are receiving curative intent neurotoxic chemotherapy. The secondary aim is to evaluate the effectiveness of RA versus SA on chemotherapy relative dose intensity (RDI) and CIPN-related chemotherapy discontinuation. Statistical methods: We will randomize 80 patients, 40 to each arm. All randomized patients will be evaluable in the Intent to Treat (ITT) analyses because all will have completed the baseline assessment before randomization. We will use a linear mixed model (LMM) to compare the change in NPS between the arms from baseline to week 4. Based on our pilot data, a difference in CIPN grade from 1 to 2 corresponded to a difference in NPS from 12 to 22, a difference of ten points in 27 patients. The NPS standard deviation (SD) in patients with grade 1 CIPN was 17. With 80 patients we will have 80% power to detect a difference between arms as small as 10 points on the NPS, assuming a one-sided test, type I error of 5%, correlation between baseline and follow-up measurements of 0.5, SD of 17, and 15% attrition at week 4. Present accrual and target accrual: We accrued 20 participants in the intervention phase by the end of June 2023; the target accrual is 80 participants. Contact information for people with a specific interest in the trial: W. Iris Zhi, MD, PhD, zhiw@mskcc.org. ClinicalTrails.gov Identifier: NCT05458284. Citation Format: W. Iris Zhi, Lauren Taylor, Raymond Baser, Matthew Weitzman, Qing Li, Christina Seluzicki, Ting Bao, Jun Mao. Acupuncture for Preventing Progression of Taxane-Induced PeripheralNeuropathy (ATP): A Phase II Randomized, Placebo Controlled Trial [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-20-03.

Autonomous and policy-induced behavior change during the COVID-19 pandemic: Towards understanding and modeling the interplay of behavioral adaptation.

Changes in human behaviors, such as reductions of physical contacts and the adoption of preventive measures, impact the transmission of infectious diseases considerably. Behavioral adaptations may be the result of individuals aiming to protect themselves or mere responses to public containment measures, or a combination of both. What drives autonomous and policy-induced adaptation, how they are related and change over time is insufficiently understood. Here, we develop a framework for more precise analysis of behavioral adaptation, focusing on confluence, interactions and time variance of autonomous and policy-induced adaptation. We carry out an empirical analysis of Germany during the fall of 2020 and beyond. Subsequently, we discuss how behavioral adaptation processes can be better represented in behavioral-epidemiological models. We find that our framework is useful to understand the interplay of autonomous and policy-induced adaptation as a "moving target". Our empirical analysis suggests that mobility patterns in Germany changed significantly due to both autonomous and policy-induced adaption, with potentially weaker effects over time due to decreasing risk signals, diminishing risk perceptions and an erosion of trust in the government. We find that while a number of simulation and prediction models have made great efforts to represent behavioral adaptation, the interplay of autonomous and policy-induced adaption needs to be better understood to construct convincing counterfactual scenarios for policy analysis. The insights presented here are of interest to modelers and policy makers aiming to understand and account for behaviors during a pandemic response more accurately.