Female Mortality Research Articles

Machine Learning for Early Breast Cancer Detection

Abstract Globally, breast cancer remains a significant cause to female mortality. Early detection plays a crucial role in reducing premature deaths. Various imaging techniques, including ultrasound, mammogram, magnetic resonance imaging, histopathology, thermography, positron emission tomography, and microwave imaging, have been explored for obtaining breast images. This review article delves into the details of different breast imaging modalities and publicly accessible sources of breast images. The advanced machine learning (ML) technique offers a promising avenue to replace human involvement in detecting cancerous cells from breast images. The article outlines various ML algorithms (MLAs) extensively employed for identifying cancerous cells in images at the early stages, categorizing them based on the presence or absence of malignancy. Additionally, the review addresses current challenges associated with the application of MLAs in breast cancer identification and proposes potential solutions.

To study the utility of COX-2 as immunohistochemical prognostic marker in comparison to various histopathological parameters and TNM staging in breast carcinoma: an observational, cross-sectional study protocol.

Breast cancer is the most prevalent cancer among women worldwide and is a well-known cause for cancer mortality in females. COX-2 (cyclooxygenase) plays a vital role in development of some human cancers such as lung, colon and breast. It is a potent enzyme that is important for the conversion of arachidonic acid into prostaglandins. These prostaglandins mediate cellular proliferation, apoptosis and angiogenesis which contributes to carcinogenesis. Overexpression of COX-2 has been detected in several malignancies including breast cancer. COX-2 overexpression is regarded as a poor prognostic marker of breast cancer.The present study will aim to study the immunohistochemical expression of COX-2 in breast cancer and compare it with known histopathological parameters thus assessing its prognostic value. This will be an observational study conducted in the Department of Pathology, JNMC, Wardha (Sawangi). Radical mastectomy specimens will be studied for COX-2 expression by immunohistochemistry in patients diagnosed with breast carcinoma. COX-2 expression will be quantified as immunohistochemical score and results will be correlated with various histopathological parameters. The expected result of our study will suggest an association of COX-2 expression to the factors associated with poor prognosis in breast carcinoma. A positive correlation is expected between larger tumor size, positive lymph node status, higher T stage and N stage and lymphovascular invasion. Conclusions will be drawn from the obtained results of the immunohistochemical study by using COX-2- for detection of overexpression of COX-2 when evaluated with TNM staging, histological grading and molecular types of breast cancer.

High temperature exposure causes sexual dimorphism in immune responses against largemouth bass ranavirus (LMBV) in Micropterus salmoides

Largemouth bass (Micropterus salmoides) is an important freshwater fish species in aquaculture. Largemouth bass ranavirus (LMBV) infection at high temperature results in a considerably higher mortality rate in females than that in males. This study compared the spleen transcriptomes and analyzed the impact of sexual dimorphism on immunity and metabolism of largemouth bass infected with LMBV at high temperatures to gain a comprehensive understanding of the sex-based differences in immunity and metabolism of this species. (1) Compared with the ambient temperature group (W20), the high temperature group (W30) exhibited multiple significant differences in metabolic and immune terms, with several immunity-related pathways, including phosphatidylinositol 3-kinase-protein kinase B (PI3K-Akt) signaling pathway. Most identified pathways were associated with the estrogen signaling pathway, which also differed significantly. (2) Differences in glycolipid metabolism, immunity, and the endocrine and complex adaptive systems were distinctly different between male groups (W20M vs. W30M), whereas the female groups (W20F vs. W30F) were not significantly different. The male groups had a significantly higher number of enriched immunity-related KEGG pathways and differentially expressed genes (DEGs) and pathways related to the estrogen signaling pathway. (3) When comparing male and female samples infected with LMBV at the same temperature, no significant difference was observed between the ambient temperature groups (W20F vs. W20M). The high-temperature groups (W30F vs. W30M) had 18 immunity-related pathways among the top 25 enriched KEGG pathways, and gene expression correlation analysis of the DEGs showed positive correlations. This study demonstrates that the combined effects of high temperature and LMBV affect multiple metabolic and immune pathways in largemouth bass, thereby modulating immune responses by regulating the estrogen signaling pathway and influencing the expression of estrogen and its receptors. Under high-temperature conditions, male fish may have stronger estrogen signaling pathway-associated immune responses, which regulate immune pathways, including antigen processing and presentation, complement system, and phagocytosis. Consequently, males may have higher disease resistance than that of females. Our result contribute to mono-sex breeding and antiviral drug therapies available in largemouth bass, thereby markedly improving breeding efficiency.

Sex Disparities After Coronary Artery Bypass Grafting and Hospital Quality

Concern has been raised about persistent sex disparities after coronary artery bypass grafting, with female patients having higher mortality. However, whether these disparities persist across hospitals of different qualities is unknown. To evaluate sex disparities in 30-day mortality after coronary artery bypass grafting across high- and low-quality hospitals. This cross-sectional, retrospective cohort study evaluated Medicare beneficiaries undergoing coronary artery bypass grafting between October 1, 2015, and March 31, 2020. Data analysis was performed from July 1, 2023, to December 1, 2023. The primary exposures were hospital quality and sex. For hospital quality, hospitals were placed into rank order by their overall risk-adjusted mortality rate and divided into quintiles. Risk-adjusted 30-day mortality using a logistic regression model accounting for patient factors, including sex, age, comorbidities, elective vs unplanned admission, number of bypass grafts, use of arterial graft, and year of surgery. A total of 444 855 beneficiaries (mean [SD] age, 71.5 [7.5] years; 120 333 [27.1%] female and 324 522 [72.9%] male) were studied. Compared with male beneficiaries, female beneficiaries were more likely to have an unplanned admission (66 425 [55.2%] vs 157 895 [48.7%], P < .001) and receive care at low-quality (vs high-quality) hospitals (odds ratio, 1.26; 95% CI, 1.23-1.29; P < .001). Overall, risk-adjusted female mortality was 4.24% (95% CI, 4.20%-4.27%), and male mortality was 2.75% (95% CI, 2.75%-2.77%), with an absolute difference of 1.48 (95% CI, 1.45-1.51) percentage points (P < .001). At the highest-quality hospitals, male mortality was 1.57% (95% CI, 1.56%-1.59%), and female mortality was 2.58% (95% CI, 2.54%-2.62%), with an absolute difference of 1.01 (95% CI, 0.97-1.04) percentage points (P < .001). At the lowest-quality hospitals, male mortality was 4.94% (95% CI, 4.88%-5.01%), and female mortality was 7.02% (95% CI, 6.90%-7.13%), with an absolute difference of 2.07 (95% CI, 1.95-2.19) percentage points (P < .001). Female beneficiaries receiving care at low-quality hospitals had a higher mortality than male beneficiaries receiving care at the high-quality hospitals (7.02% vs 1.57%, P < .001). In this cohort study of Medicare beneficiaries undergoing coronary artery bypass grafting, female beneficiaries were more likely to receive care at low-quality hospitals, where the sex disparity in mortality was double that of high-quality hospitals. Quality improvement targeting low-quality hospitals as well as equitable referral of female beneficiaries to higher-quality hospitals may narrow the sex disparity after coronary artery bypass grafting.

Risk Factors for Pediatric Intracranial Neoplasms in the Kids’ Inpatient Database

Introduction: In children and adolescents, brain and central nervous system (CNS) tumors are the leading types of cancers. Past studies have found differing rates of intracranial cancers among races and identified additional cancer risk factors. This study aimed to see if these differences can be substantiated with further investigation of the latest version (2019) of the Kids’ Inpatient Database (KID). Methods: A total of 7,818 pediatric patients <21 years old in KID with ICD-10 codes consisting of malignant neoplasms of the brain, brainstem, and cerebral meninges (C700, C709–C719) were queried. Modifiable risk factors evaluated include: hospital region, insurance type, hospital city size, the average income of patient zip code, and location/teaching status of a hospital. Non-modifiable risk factors were race and sex at birth. Dependent variables were tested in Excel and GraphPad Prism 9 using a χ2 test with Yates’ continuity correction and Tukey’s one-way and two-way ANOVAs. Results: Mortality rates of females (2.88%) compared to males (1.99%) were significant (p < 0.05). Mortality was (4.17%) in black patients compared to (1.68%) for white (p < 0.0001), Hispanic mortality (2.95%) compared to white (p < 0.01), and mortality of Asian/Pacific Islander (3.86%) compared to white (p < 0.01). Black patients had significantly higher mortality than white, Hispanic, Asian/Pacific Islander, Native American, and other races overall (p < 0.01). There was no significant difference in the mortality rates between children’s hospitals and large hospitals for any race. After accounting for patient race, mortality was still not significantly different for patients with Medicaid insurance compared to non-Medicaid insurance types. Of the children treated at children’s hospitals, the most transferred in from outside hospitals were Native American (20.00%) followed by Asian/Pacific Islander (15.09%) then Hispanic patients (13.67%). A significant difference between races was also seen regarding length of stay (p < 0.001) and number of charges (p < 0.001). Conclusion: These findings confirm prior studies suggesting gender and race are significant factors in mortality rates for children with intracranial neoplasms. However, the findings do not identify the root causes of these discrepancies but may serve as an impetus for clinicians, healthcare administrators, and governmental leaders to improve national resource allocation to better care for pediatric patients with intracranial neoplasms.

Decadal Analysis of Age-Adjusted Mortality Rates for Acute and Chronic Kidney Disease in Brazil, 2000-2021.

Introduction Renal failure, comprising acute kidney injury (AKI) and chronic kidney disease (CKD), involves a decline or loss of kidney function. AKI is sudden and reversible, with a rapid decline in function over hours to days, while CKD involves persistent abnormalities lasting at least three months. Developing countries are seeing a rise in AKI cases, especially in critically ill patients. Globally, there's a growing occurrence and mortality rate linked to CKD. Methods The study used a retrospective cross-sectional design to analyze AKIand CKDmortality rates in Brazil from 2019 to 2022. Data on population and demographics, including sex and age, were obtained from the Brazilian Institute of Geography and Statistics. Mortality data for kidney diseases were sourced from the Brazilian Hospital Information System. The analysis utilized the Joinpoint Regression Programto calculate average annual percentage changes (AAPCs) and their respective 95% confidence intervals. Weighted Bayesian information criterion was used to determine the significance levels and identify the best-fitting combination of line segments and joinpoints. Results The study findings revealed a significant rise in AKI mortality rates for both males and females, from 2008 to 2021 (APC = 3.16;CI: 2.29 to 5.93), with higher mortality rates recorded among males compared to women over the entire study period. Analyses according to age groups showed that males between the ages 40 to 49 experienced the most rapid increase in mortality during the 2019 - 2021 period (APC = 35.41; CI: 16.72 to 46.57); meanwhile, the most rapid increase in mortality for females was observed from 2019 to 2021, and this was among those aged 30 to 39 (APC = 40.33; CI = 6.48 to 59.78). Furthermore, there was an observable upward trend in mortality related to CKD(APC = 0.70; CI: 0.41 to 1.01), with males consistently having higher mortality rates throughout the entire study period. The elderly population, both males and females, experienced the most rapid increase in CKD-related mortality, with AAPCvalues of 2.32 (CI: 1.82 to 2.89) for males and 1.62 (CI: 1.08 to 2.10) for females. Conclusion We observed a consistent increase in mortality rates from acute kidney diseases for both males and females since 2008, with males experiencing higher mortality rates overall. The study highlighted the need for further researchto understand the underlying factors contributing to these trends. Additionally, interventions targeting modifiable risk factors and improving access to healthcare could help reduce mortality related to renal failure.

Histopathology-based breast cancer prediction using deep learning methods for healthcare applications.

Breast cancer (BC) is the leading cause of female cancer mortality and is a type of cancer that is a major threat to women's health. Deep learning methods have been used extensively in many medical domains recently, especially in detection and classification applications. Studying histological images for the automatic diagnosis of BC is important for patients and their prognosis. Owing to the complication and variety of histology images, manual examination can be difficult and susceptible to errors and thus needs the services of experienced pathologists. Therefore, publicly accessible datasets called BreakHis and invasive ductal carcinoma (IDC) are used in this study to analyze histopathological images of BC. Next, using super-resolution generative adversarial networks (SRGANs), which create high-resolution images from low-quality images, the gathered images from BreakHis and IDC are pre-processed to provide useful results in the prediction stage. The components of conventional generative adversarial network (GAN) loss functions and effective sub-pixel nets were combined to create the concept of SRGAN. Next, the high-quality images are sent to the data augmentation stage, where new data points are created by making small adjustments to the dataset using rotation, random cropping, mirroring, and color-shifting. Next, patch-based feature extraction using Inception V3 and Resnet-50 (PFE-INC-RES) is employed to extract the features from the augmentation. After the features have been extracted, the next step involves processing them and applying transductive long short-term memory (TLSTM) to improve classification accuracy by decreasing the number of false positives. The results of suggested PFE-INC-RES is evaluated using existing methods on the BreakHis dataset, with respect to accuracy (99.84%), specificity (99.71%), sensitivity (99.78%), and F1-score (99.80%), while the suggested PFE-INC-RES performed better in the IDC dataset based on F1-score (99.08%), accuracy (99.79%), specificity (98.97%), and sensitivity (99.17%).

Mule deer mortality in the northern Great Plains in a landscape altered by oil and natural gas extraction

AbstractA worldwide increasing demand for renewable and non‐renewable energy resources has been ongoing since the mid‐1970s and is projected to increase for the next 2 decades. The effects of oil and natural gas development on wildlife mortality risk may play an important role in mule deer (Odocoileus hemionus) population dynamics. We evaluated the potential effects of oil and natural gas development on mortality risk of mule deer in western North Dakota and eastern Montana, USA. We assessed adult and juvenile female mule deer mortality risk with Poisson point process models using 265 deer fitted with global positioning system (GPS) radio‐collars that were deployed from 2013–2016. Mortality covariates included proportion of area disturbed by oil and natural gas development, distance to oil and natural gas development, distance to roads, temperature, snow depth, normalized difference vegetation index (NDVI), and age of deer. During the study there was no effect of oil and natural gas development or roads on mule deer mortality, though &lt;1% of all deer locations were within 500 m of active drilling rigs. Mule deer mortality was greatest in winter and spring, and positively related to temperature during these seasons. Estimated annual adult survival probability was 0.79 (95% CI = 0.71–0.85). Given the strong influence of season and temperature variables on mortality risk, weather had the strongest influence on mule deer mortality during this study. Although we did not detect an effect of energy development on mule deer mortality, effects on space use resulting from development could influence deer dynamics in the region through displacement and could occur over longer time scales than we evaluated. This study can be used in pre‐development planning in a risk assessment framework to minimize effects of development on mule deer.

Sex differences in Life's Essential Eight and its Association with mortality among US adults without known cardiovascular disease

BackgroundThe American Heart Association's (AHA) Life's Essential 8 (LE8) score is a helpful tool to quantify cardiovascular health (CVH) metrics. We sought to assess sex differences in relation to LE8 and its components along with association with mortality. MethodsThe National Health and Nutrition Examination Survey (NHANES) between 2009 and 2018 was utilized to evaluate the prevalence of health metrics included in LE8 among adult participants > age 18, stratified by sex. We categorized overall CVH, health factors, and health behaviors into 3 levels (low: <50, moderate: 50 -79, high: ≥80) following the AHA's algorithm. Health metrics were further subdivided into health behaviors (diet, physical activity, nicotine exposure, and sleep) and health factors (body mass index, non–high density lipoprotein cholesterol, blood glucose, and blood pressure). LE8 scores were also evaluated based on age, race/ethnicity, and socioeconomic status. Cox proportional hazard models were used to evaluate the association between the levels of CVH and risk of all-cause and cardiovascular mortality, with adjustment for age group and race. ResultsAmong 22,761 participants, 52 % were female. Overall CVH score was similar in both females and males (65.8 vs. 65.9). Females had higher health factors score (64.3 vs. 63.1, p < 0.001) and lower health behaviors score (67.2 vs 68.6, p < 0.001). Amongst individual metrics, blood pressure score was higher in females (73.2 vs. 67.7, p < 0.001) while males had higher physical activity score (70.6 vs. 54.9, p < 0.001). For individuals under 65 years of age, overall CVH and health factors scores were higher in females while in those age 65 or older, males had higher scores. The most prominent sex differences were noted in non-Hispanic Black females who had significantly lower CVH scores than Black males (62.6 vs. 74.7, respectively, p < 0.001. High LE8 scores vs. low LE8 scores demonstrated lower all-cause (HR 0.37 vs 0.35) and CV mortality (HR 0.35 vs. 0.36) in both males and females, respectively (p-interaction 0.21 and 0.28). High health behaviors scores also demonstrated a significant association with lower all-cause (0.34 vs. 0.24) and CV mortality (HR 0.47 vs. 0.26) in both males and females, respectively (p-interaction 0.20 and 0.11). ConclusionsWe demonstrate important sex differences in CVH metrics along with notable variations based on age and race/ethnicity. Furthermore, we highlight that CVH metrics including health factors and health behaviors are associated with mortality in both females and males. These findings underscore the importance of designing and implementing effective strategies for both sexes, aimed at targeting these specific factors.

Metastatic breast cancer in elderly women: A retrospective cohort study in Morocco.

e13073 Background: Breast cancer (BC) stands as the predominant malignancy among women worldwide, presenting a significant global public health problem. In Morocco, it is the leading cause of cancer-related mortality in females. However, there exists a limited understanding of outcomes and treatment patterns for elderly patients with metastatic breast cancer (MBC) in our context. Methods: We conducted a retrospective cohort study at the Department of Medical Oncology, Hassan II University Hospital of Fez, focusing on 92 female patients aged 65 years or older diagnosed with MBC, between January 2012 and December 2016. The primary objectives were to estimate overall survival (OS) and progression-free survival (PFS), describe treatment patterns, and characterize the clinicopathological, and prognostic aspects of MBC in elderly women in Morocco. Results: The cohort’s median age was 70.88 (range, 65-88years) with 45.6% of patients aged of 65 to 69 years, 34.8% between 70 to 74 years old, and 19.6% over 75. Most patients (77.2%) had an Eastern Cooperative Oncology Group (ECOG) score of 0 to 1, and only 33.7% had comorbidities. De novo stage IV constituted 59.8% of all cases. Metastatic recurrences represent 40.2% with 16.2% having recurrence within 12 months, and 83.8% having a recurrence interval exceeding 12 months. The median time to recurrence was 45.5 months. Invasive ductal carcinoma (IDC) was the predominant histological type (81.1%), with SBR grade II (51%) and grade III (21.7%). Metastases were observed in pleuropulmonary (78.3%), bone (56.5%), lymph nodes (33.7%) and liver (30.4%). With 71.7% having metastases in fewer than three sites, while 28.3% had metastases in three or more sites. Molecular profiling showed Luminal A (38%) and Luminal B (26.1%) subtypes as the most prevalent, followed by triple-negative (17.4%) and HER2+ (15.2%). Treatment modalities included chemotherapy (50%), hormone therapy (15.2%) or a combination of the two (17.4%), and anti-HER2 targeted (14.1%). Median OS was 37 months (95% CI: 16.86 - 57.13 months), and median PFS was 33.16 ± 4.1 months. Anti-HER2 therapy showed a significant association with survival (p = 0,05). Conclusions: This study highlights the characteristics, survival, and treatment modalities of elderly patients with MBC in Morocco. Despite the predominance of luminal BC an intriguing observation was the frequent use of chemotherapy as first line modality.

Diagnostic, prognostic, and immunological roles of CDSN in ovarian cancer

Globally, ovarian cancer (OC) ranks as a principal cause of cancer-related mortality in females. Immunotherapy has revolutionized the treatment of OC, but the efficacy of immunotherapy is often limited by different immune microenvironments. The objective of this research was to pinpoint and validate candidate genes with potential value as diagnostic and prognostic biomarkers and therapeutic targets in OC. Data on genes associated with gene mutation, prognostic survival, and immune infiltration in OC were procured from the Cancer Genome Atlas (TCGA). Gene differential analysis, mutation site analysis, prognosis and survival analysis, and functional and signaling pathway enrichment analysis were conducted to identify and evaluate key genes. The genes were further investigated using immune infiltration analysis, receiver operating characteristic curves, and immunohistochemistry. The impact of CDSN on OC cell proliferation was investigated utilizing CCK-8, colony formation, and apoptosis detection assays. We identified a set of genes (CDSN, WARS, and CD38) that were highly expressed in OC and significantly associated with mutations and prognosis. Immune infiltration analysis and immunohistochemistry results indicated a correlation with immune infiltration in the tumor microenvironment, particularly in antigen-presenting cells. Receiver operating characteristic curve analysis demonstrated the diagnostic potential of these three genes in OC, with all three genes showing the area under the curve (AUC) above 0.8. In vitro studies suggested that knocked down CDSN expression resulted in a marked lower in the proliferative capacity of OC cells. The candidate gene CDSN identified through bioinformatics analysis and in vitro experiments is associated with mutation and immune infiltration, showing promise as a diagnostic and prognostic biomarker, as well as a therapeutic objective in OC.

Эффективность приманки на основе денсовируса PfDNV в отношении синантропных тараканов

We present our own data on the effectiveness of insecticidal bait based on the densovirus of the smoky-brown cockroach Periplaneta fuliginosa (PfDNV) for German, American and Oriental cockroaches. On average, the mortality rate of German cockroaches was 70?% within 5 days of the experiment, which corresponds to the required indicator of bait effectiveness. The total mortality of males and females of Oriental and American cockroaches was below 70?%, which does not allow us to recommend this product for use against these species of cockroaches. It has been established that male German cockroaches are more susceptible to bait than females. A comparison of the mortality rates of German cockroaches in the absence of alternative food showed that the MAG and KR strains resistant to traditional insecticides do not differ from that of the susceptible S-NIID strain. Females of the DM strain died off 3 times longer than susceptible S-NIID females. In the presence of alternative food, a slowdown in the action of the bait was observed in females of the KR strain by 2.5 times and in DM by 4 times. Viruses are highly specific to their hosts and can lead to a significant reduction in the number of hosts. Bioinsecticides may be a necessary alternative in the control of resistant German cockroaches. Keywords: densovirus PfDNV, synanthropic cockroaches, resistance.

Stat Bite: Estimated cumulative risk of female breast cancer incidence and mortality (ages 0-74) in 2022

Stat Bite: Estimated cumulative risk of female breast cancer incidence and mortality (ages 0-74) in 2022

Guideline of traditional Chinese medicine diagnosis and treatment for breast cancer patients with emotional disorders (2023)

Breast cancer has emerged as one of the most common malignancies among women globally, constituting a major cause of female cancer-related mortality. Among breast cancer patients, the incidence of emotional disorders is notably high, significantly impacting their quality of life and disease prognosis. Traditional Chinese medicine (TCM) offers numerous advantages in addressing emotional disorders. However, currently there are no standardized diagnostic or therapeutic guidelines for TCM management of emotional disturbances accompanying breast cancer. This guideline, authored by a panel of experts in the field of TCM, including specialists in breast oncology, breast surgery, and psychosomatic medicine, is based on the current best evidence and expert insights. It standardizes the terms and definitions, diagnostic criteria, etiology and pathogenesis, clinical staging, and treatment principles of breast cancer with emotional disorders. Meanwhile, the guideline establishes 6 main TCM syndrome types and their corresponding treatment strategies. Its purpose is to serve as a reference and foundation for the clinical syndrome differentiation and treatment of emotional disorders in breast cancer patients.

National and subnational mortality trends of multiple myeloma in China, 2013–2020: Empirical evidence from national mortality

The incidence of multiple myeloma (MM) has increased over time in China. Despite this increase, comprehensive and up-to-date statistics on its mortality at national and provincial scales are lacking. To bridge this gap, we used mortality data from the disease surveillance points system operated by the Chinese Center for Disease Control and Prevention. Mortality rates were standardized against the 2010 census population of China (ASMRC) and Segi's world population (ASMRW). Joinpoint regression models were used to analyze temporal trends. Our findings indicated an estimated 14,568 MM-related deaths in China. The observed crude mortality rates ASMRC, and ASMRW were 1.04, 0.80, and 0.62 per 100,000 individuals, respectively. A notable sex-related difference in mortality rates was evident, with male mortalities (8,319) surpassing female mortalities (6,249) by a factor of 1.33. Age-wise, mortality rates tended to increase after 55 years, reaching a maximum in those over 85 years (7.09 per 100,000 individuals). Provincial data revealed that the highest ASMRCs were in Zhejiang, Beijing, and Jiangxi, whereas the lowest were in Tibet, Qinghai, and Hainan. The period from 2013 to 2020 exhibited a significant increase of 58.09 % in MM mortality, with urban and rural areas exhibiting a 44.97 % and 70.94 % increase, respectively. This analysis highlights the growing mortality burden of MM across various demographics and regions, emphasizing the need for tailored disease management and preventive measures.

Residual bioefficacy of attractive targeted sugar bait stations targeting malaria vectors during seasonal deployment in Western Province of Zambia

BackgroundThe primary vector control interventions in Zambia are long-lasting insecticidal nets and indoor residual spraying. Challenges with these interventions include insecticide resistance and the outdoor biting and resting behaviours of many Anopheles mosquitoes. Therefore, new vector control tools targeting additional mosquito behaviours are needed to interrupt transmission. Attractive targeted sugar bait (ATSB) stations, which exploit the sugar feeding behaviours of mosquitoes, may help in this role. This study evaluated the residual laboratory bioefficacy of Westham prototype ATSB® Sarabi v.1.2.1 Bait Station (Westham Ltd., Hod-Hasharon, Israel) in killing malaria vectors in Western Province, Zambia, during the first year of a large cluster randomized phase-III trial (Clinical Trials.gov Identifier: NCT04800055).MethodsThis was a repeat cross-sectional study conducted within three districts, Nkeyema, Kaoma, and Luampa, in Western Province, Zambia. The study was conducted in 12 intervention clusters among the 70 trial clusters (35 interventions, 35 controls) between December 2021 and June 2022. Twelve undamaged bait stations installed on the outer walls of households were collected monthly (one per cluster per month) for bioassays utilizing adult female and male Anopheles gambiae sensu stricto (Kisumu strain) mosquitoes from a laboratory colony.ResultsA total of 84 field-deployed ATSB stations were collected, and 71 ultimately met the study inclusion criteria for remaining in good condition. Field-deployed stations that remained in good condition (intact, non-depleted of bait, and free of dirt as well as mold) retained high levels of bioefficacy (mean induced mortality of 95.3% in males, 71.3% in females, 83.9% combined total) over seven months in the field but did induce lower mortality rates than non-deployed ATSB stations (mean induced mortality of 96.4% in males, 87.0% in females, 91.4% combined total). There was relatively little variation in corrected mortality rates between monthly rounds for those ATSB stations that had been deployed to the field.ConclusionWhile field-deployed ATSB stations induced lower mortality rates than non-deployed ATSB stations, these stations nonetheless retained relatively high and stable levels of bioefficacy across the 7-month malaria transmission season. While overall mean mosquito mortality rates exceeded 80%, mean mortality rates for females were 24 percentage points lower than among males and these differences merit attention and further evaluation in future studies. The duration of deployment was not associated with lower bioefficacy. Westham prototype ATSB stations can still retain bioefficacy even after deployment in the field for 7 months, provided they do not meet predetermined criteria for replacement.

Assessment of stromal tumor-infiltrating lymphocytes in neoadjuvant chemotherapy for invasive breast carcinoma: Predictive insights across molecular subtypes

Background and aimsBreast cancer, a leading cause of female mortality, has prompted the widespread adoption of Neoadjuvant chemotherapy (NAC) for its potential to minimize metastasis risk and downstaging tumors. Tumor Infiltrating Lymphocytes (TILs) have emerged as key immunological biomarkers, particularly in breast cancer research. This study focuses on evaluating Stromal TILs (sTILs) in pre-NAC core needle biopsies of Invasive Breast Carcinoma, No Special Type (IBC, NST) and correlating it with NAC response. Materials and methodsA retrospective study spanning three years (October 2020 to September 2023) was conducted in a tertiary care hospital, involving 73 patients meeting specific inclusion criteria. Pathological assessments, including hormone receptor status, molecular subtyping, and TILs evaluation, were performed. Logistic regression and statistical analyses were conducted to determine associations between TILs, clinicopathological parameters, and complete response. ResultsThe study demonstrated excellent discriminatory power of TILs (>10 %) in predicting complete response. Univariate and multivariate logistic regression underscored the independent predictive value of TILs, emphasizing their significance across diverse molecular subtypes. ConclusionThis study provides crucial insights into immune response assessment, particularly sTILs, in optimizing breast cancer treatment strategies and patient outcomes during NAC, contributing to the evolving landscape of personalized emphasising oncology.

Trends in Melanoma Mortality in Serbia: A 22-Year Population-Based Study.

We aimed to investigating the sex-specific and age-specific melanoma mortality trends observed on the territory of Serbia between 2000 and 2021. This population-based study used data from the Statistical Office of the Republic of Serbia database during the period 2000-2021. The calculation of the gender and age-standardized rates (ASR) was performed. We used a regression analysis complete with linear trend model. The mean ASR was 1.77 per 100,000 people, meaning that male mortality rates (2.24 per 100,000) was higher than female mortality rates (1.34 per 100,000). During the observation period, a rising trend in mortality from melanoma skin cancer was reported. Observed by gender, the change of melanoma mortality trend was significant in men (P=0.021), but not in women (P=0.747). The annual growth rate of ASRs values was 1.43%. A increase in the melanoma mortality rate was observed since 2000 by 2.44% annually in males and by 2.79% annually in females. Mortality rates were increasing in both sexes as they aged, and the greatest number of deaths was recorded in the group of those aged 80 yr or above (16.25 per 100,000 for men; 10.45 per 100,000 for women). Our study findings underline the importance of launching more effective public health awareness campaigns to educate people about the dangers of melanoma and its symptoms' detection along with establishing a diagnosis at an early stage of the disease, especially among male patients and those at an advanced age.

Joinpoint regression analysis of recent trends in desmoplastic malignant melanoma incidence and mortality: 15-year multicentre retrospective study.

Recent data reveal a marked rise in the detection and mortality rates of Desmoplastic Malignant Melanoma (DMM). This trend underscores the imperative for an in-depth analysis of DMM's epidemiology, which is crucial for the formulation of precise medical and public health strategies. This investigation seeks to elucidate the variations in the incidence and mortality of DMM over a 15-year period (2005-2019). Data on DMM patients was sourced from the Surveillance, Epidemiology, and End Results (SEER) database. Both incidence and incidence-based mortality rates (IBM) were directly extracted from the SEER database. Joinpoint regression was used to analyze and calculate the average annual percent change (AAPC) and its 95% confidence interval (CI). Between 2005 and 2019, 3,384 DMM cases were identified, boasting an age-adjusted incidence rate of 36.3 cases per 1000,000 person-years (95% CI 3.51-3.76) and an IBM of 1.65cases per 1000,000 person-years (95% CI 1.57-1.74). Of these, 2,353 were males (69.53%) and 1,031 were females (30.47%). There were 1894 patients (55.97%) who were over 70years old. Predominantly, DMM lesions manifested in exposed areas: Limbs (955, 28.22%), Face (906, 26.77%), and Scalp and Neck (865, 25.56%). The incidence of DMM increased significantly at a rate of APC = 0.9% during 2005-2019, while the incidence-based mortality showed a significant upward trend (APC = 7%) during 2005-2012, and slowly increasing trend (APC = 0.6%) during 2012-2019. In contrast to the modest upward trajectory in female incidence and mortality, male incidence initially surged, later declining, while male mortality peaked and stabilized post-2012. The primary sites for incidence and mortality were chronically sun-exposed areas: Face, Scalp and Neck, and Limbs. In recent years, the incidence and incidence-based mortality of DMM have significantly increased. Each subgroup analysis has different trends, and these trends can provide better support for our exploration of DMM.

The Gender Spectrum of In-hospital Survival Post Primary Percutaneous Coronary Intervention for ST Elevation Myocardial Infarction: Exploring Age-driven Trends.

The study was aimed to evaluate gender difference and age & gender specific interaction of in-hospital outcomes of patients with ST elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI). This was a prospective cohort study of 1748 patients with STEMI undergoing primary PCI. The study was dichotomised according to gender to evaluate the difference in the outcome. The study was further stratified based on an age cut-off of 75 years to examine the age-specific gender relationship in survival outcomes. Independent variables for in-hospital mortality were analysed through logistic regression. There were 314 (17.96%) females with an average age of 60.80 years and 1434 (82.03%) males with an average age of 54.87 years. The prevalence of diabetes (24.8% vs. 13.2%) and hypertension (33.1% vs. 12.9%) was significantly higher in female patients compared to male patients, whereas the significantly higher number of male patients were smokers. On multivariate analysis, odds of female gender OR = 3.54 (1.37-9.17), killip class >2 OR = 3.05 (1.97-4.71) and baseline creatinine OR = 2.27 (1.22-4.23) were found as significant predictors of in-hospital mortality. The crude odds ratio of 2.35 (1.49-3.72) and adjusted OR of 2.05 (1.27-3.30) for female mortality was significant among patients aged <75-years. While patients with ≥75-years of age, the mortality difference was insignificant. Although the incidence of STEMI was higher in male compared to female patients, female patients had two-fold higher in-hospital mortality than male. Female gender was an independent predictor for in-hospital mortality in patients <75-years of age.