Death Rate Research Articles

Prevalence and death rate of birth defects from population-based surveillance in Hunan Province, China, 2010–2020

To describe the prevalence and death rate of birth defects from population-based surveillance in Hunan Province, China. Data were obtained from the population-based Birth Defects Surveillance System in Hunan Province, China (2010–2020). The surveillance population included all live births, stillbirths, infant deaths, and legal terminations of pregnancy from 28 weeks of gestation to 42 days after birth between 2010 and 2020 when the mother resided in the surveillance area (Liuyang County and Shifeng District, Hunan Province). The prevalence of birth defects is the number of birth defects per 1000 infants (‰). The death rate of birth defects is the number of deaths attributable to birth defects per 100 birth defects (%). The prevalence and death rate with 95% confidence intervals (CI) were calculated by the log-binomial method. Crude odds ratios (ORs) were calculated to examine the association of each demographic characteristic with birth defects. Our study included 228,444 infants, and 4453 birth defects were identified, with a prevalence of 19.49‰ (95%CI 18.92–20.07). Congenital heart defects were the most common specific defects (5.29‰), followed by limb defects (4.01‰). Birth defects were more common in males than females (22.34‰ vs. 16.26‰, OR = 1.38, 95%CI 1.30–1.47), in premature birth than not (91.82‰ vs. 16.14‰, OR = 6.16, 95%CI 5.72–6.65), in birth weight < 2500 g (98.26‰ vs. 16.22‰, OR = 6.61, 95%CI 6.11–7.15) or > 4000 g (19.48‰ vs. 16.22‰, OR = 1.21, 95%CI 1.03–1.42) than birth weight 2500–4000 g, in hospitalized deliveries than other institutions (22.16‰ vs. 11.74‰, OR = 1.91, 95%CI 1.76–2.07), in multiple births than singletons (28.50‰ vs. 19.28‰, OR = 1.49, 95%CI 1.27–1.76), in maternal age < 20 years (26.33‰ vs. 18.69‰, OR = 1.42, 95%CI 1.15–1.76) or > = 35 years (24.31‰ vs. 18.69‰, OR = 1.31, 95%CI 1.18–1.45) than maternal age 25–29 years, and in number of pregnancies > = 4 (22.91‰ vs. 18.92‰, OR = 1.22, 95%CI 1.10–1.35) than the first pregnancy. A total of 747 deaths attributable to birth defects were identified, including 603 (80.72%) stillbirths, 75 (10.04%) deaths within 7 days after birth, 46 (6.16%) deaths in 7–27 days after birth, 23 (3.08%) deaths in 28–42 days after birth. The death rate of birth defects was 16.78% (95%CI 15.57–17.98). Deaths attributable to birth defects accounted for 51.09% (747/1462) of all deaths. Central nervous system defects had the highest death rate (90.27%), and neonatal genetic metabolic defects had the lowest death rate (0.39%). In summary, we have described the prevalence and epidemiology of birth defects from population-based surveillance in Hunan Province, China, 2010–2020. There were differences in the prevalence and death rate of birth defects between population-based surveillance and hospital-based surveillance.

Hybrid immunity from severe acute respiratory syndrome coronavirus 2 infection and vaccination in Canadian adults: A cohort study.

Few national-level studies have evaluated the impact of 'hybrid' immunity (vaccination coupled with recovery from infection) from the Omicron variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). From May 2020 to December 2022, we conducted serial assessments (each of ~4000-9000 adults) examining SARS-CoV-2 antibodies within a mostly representative Canadian cohort drawn from a national online polling platform. Adults, most of whom were vaccinated, reported viral test-confirmed infections and mailed self-collected dried blood spots (DBSs) to a central lab. Samples underwent highly sensitive and specific antibody assays to spike and nucleocapsid protein antigens, the latter triggered only by infection. We estimated cumulative SARS-CoV-2 incidence prior to the Omicron period and during the BA.1/1.1 and BA.2/5 waves. We assessed changes in antibody levels and in age-specific active immunity levels. Spike levels were higher in infected than in uninfected adults, regardless of vaccination doses. Among adults vaccinated at least thrice and infected more than 6 months earlier, spike levels fell notably and continuously for the 9-month post-vaccination. In contrast, among adults infected within 6 months, spike levels declined gradually. Declines were similar by sex, age group, and ethnicity. Recent vaccination attenuated declines in spike levels from older infections. In a convenience sample, spike antibody and cellular responses were correlated. Near the end of 2022, about 35% of adults above age 60 had their last vaccine dose more than 6 months ago, and about 25% remained uninfected. The cumulative incidence of SARS-CoV-2 infection rose from 13% (95% confidence interval 11-14%) before omicron to 78% (76-80%) by December 2022, equating to 25 million infected adults cumulatively. However, the coronavirus disease 2019 (COVID-19) weekly death rate during the BA.2/5 waves was less than half of that during the BA.1/1.1 wave, implying a protective role for hybrid immunity. Strategies to maintain population-level hybrid immunity require up-to-date vaccination coverage, including among those recovering from infection. Population-based, self-collected DBSs are a practicable biological surveillance platform. Funding was provided by the COVID-19 Immunity Task Force, Canadian Institutes of Health Research, Pfizer Global Medical Grants, and St. Michael's Hospital Foundation. PJ and ACG are funded by the Canada Research Chairs Program.

Therapeutic Approaches for Treatment and Management of Depressive Disorder: A Comprehensive Review

Depression, which is associated with high levels of cognitive and functional activity, melancholy, reduced activity, difficulty understanding, failure to focus, dietary abnormalities, sleep disturbances, and emotions of feelings of sadness, suicidal thoughts, and lack of hope are symptoms of a psychoneurotic disorder. It is a common and recurring disorder with a high morbidity and death rate throughout the world. Despite advances in depression treatment, such as selective serotonin reuptake inhibitors (SSRIs) and selective norepinephrine reuptake inhibitors (SNRIs), there remain several unmet clinical requirements in terms of effectiveness and adverse effects. These requirements range from enhanced to decreased side effects like emesis and erectile problems in treatment-resistant patients. There are a variety of combination therapies available to meet these needs. Several combination medicines and novel strategies have been found, all of which have the potential to improve one or so more areas. The kinds of targets and methods being used are extremely diverse. Therapeutic approaches, on the one hand, provide the benefits of SSRIs while including alternative routes in an attempt to improve efficacy or reduce undesirable effects. Neurotrophins (BDNF, IGF) are more novel targets on the other end of the spectrum, based on the most recent research suggesting antidepressants enhance neurogenesis. Antidepressants act by blocking many proteins, such as neurotransmitter transporters and G-protein coupled receptor families, in the brain. Some of the computational approaches that are useful for uncovering drug action mechanisms and are important for drug development are molecular docking, molecular dynamics, and drug candidates.

Exploring the effects of faults on the performance of a biological wastewater treatment process

ABSTRACT To prioritise which faults should be detected in a biological wastewater treatment process, and with what level of urgency, it is necessary to understand the effect that they have on the process. Using the Benchmark Simulation Model No. 1 and 2. (BSM1 and BSM2), several process and sensor faults were considered and their impacts on various cost, quality, and controller performance evaluation metrics analysed. Both the cost of treating the wastewater and the quality of the effluent were impacted in varying degrees of severity by the faults tested. The most influential faults in both models were decreases to autotrophic and heterotrophic growth rates, decreases to the heterotrophic death rate, and the inhabitation fault. It was shown that only larger fault sizes were significant, and the required speed of detection is dependent on the fault profile. Prioritising detection of the most influential faults was shown to have significant effects on monitoring requirements for fault detection and the subsequent complexity required of a fault detection system. A valuable takeaway was the similarity of results from BSM1 and BSM2; the consistency of the influential process faults suggests that systems that can be described by these models are likely affected by the same faults.

Skin Cancer Detection Based on Machine Learning

Skin cancer, particularly melanoma, poses a significant health risk, accounting for the majority of skin cancer-related fatalities in the United States. Despite representing a small fraction of skin cancer cases, melanoma has one of the highest death rates, stressing the critical need for early detection. The American Cancer Society projects approximately 100,640 new melanoma cases and approximately 8,290 related deaths for 2024, yet also notes high survival rates when caught early. In this context, our study employs machine learning to enhance early detection, analyzing a large dataset from The International Skin Imaging Collaboration (ISIC) featuring over 53,000 images across various skin conditions. We assess Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), and Decision Tree classifiers through both binary and multiclass frameworks, with Principal Component Analysis (PCA) aiding in data dimensionality reduction and visualization. Our findings reveal SVM and K-NN as effective for binary classification, with K-NN excelling in multiclass scenarios. These results underscore the promise of machine learning in clinical settings, offering a path toward improved skin cancer diagnostic tools and underlining the importance of algorithm refinement and sophisticated data analysis techniques.

A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction

In recent decades, breast cancer has become the most prevalent type of cancer that impacts women in the world, which shows a significant risk to the death rates of women. Early identification of breast cancer might drastically decrease patient mortality and greatly improve the chance of an effective treatment. In modern times, machine learning models have become crucial for classifying cancer and strengthening both the accuracy and efficiency of diagnostic and medical treatment strategies. Therefore, this study is focused on early detection of breast cancer using a variety of machine learning algorithms and desires to identify the most effective feature selection process with an amalgamated dataset. Initially, we evaluated five traditional models and two meta-models on separate datasets. To find the most valuable features, the study used the Least Absolute Shrinkage and Selection Operator (LASSO) as well as SHapley Additive exPlanations (SHAP) selection methods and analyzed them through a wide range of performance regulations. Additionally, we applied these models to the combined dataset and observed that the mergeddataset was significantly beneficial for breast cancer diagnosis. After analyzing the feature selection strategies, it was demonstrated that the majority of models performed more accurately when utilizing SHAP methodologies. Notably, three traditional models and two meta-classifiers obtained an accuracy of 99.82%, demonstrating superior performance compared to state-of-the-art methods. This advancement holds a crucial role as it lays the foundation for refining diagnostic tools and enhancing the progression of medical science in this field.

Analyses of academician cohorts generate biased pandemic excess death estimates

ObjectiveDeath data from cohorts of academicians have been used to estimate pandemic excess deaths. We aimed to evaluate the validity of this approach. Study Design and SettingData were analyzed from living and deceased member lists from Mainland China, UK and Greece academies; and Nobel laureates (and US subset thereof). Samples of early elected academicians were probed for unrecorded deaths; datasets overtly missing deaths were excluded from further analyses. Actuarial risks were compared against the general population in the same country in respective age strata. Relative incidence risk increases in death in active pandemic periods were compared to population-wide pandemic excess death estimates for the same country. ResultsRoyal Society and Academy of Athens datasets overtly missed deaths. Prepandemic death rates were 4- to 12-fold lower in the Chinese Academy of Engineering (CAE) vs respective age strata of the Mainland China population. A +158% relative increase in death risk was seen in CAE data during the first 12-month of wide viral spread. Both increases (+34% in British Academy) and decreases (−27% in US Nobel laureates) in death rates occurred in pandemic (2020-22) vs prepandemic (2017-19) years; point estimates were far from known excess deaths in the respective countries (+6% and +14%, respectively). Published excess death estimates for urban-dwelling Mainland China selectively analyzed CAE that had double the pandemic death rates than another Chinese academy (Chinese Academy of Sciences). ConclusionMissingness, lack of representativeness, large uncertainty, and selective analysis reporting make data from academy rosters unreliable for estimating general population excess deaths.

Mortality and associated risk factors among people living with HIV with Kaposi sarcoma: A5263/AMC066 and A5264/AMC067

Background: AIDS-related Kaposi sarcoma (AIDS-KS) remains a leading cause of morbidity and mortality among people living with HIV (PLWH) in Africa. Mortality among people with AIDS-KS on ART remains high compared to people on ART who do not have AIDS-KS. Setting: PLWH with KS who participated in two randomized trials (A5263/AMC066 (advanced stage) and A5264/AMC067 (mild-to-moderate stage)) conducted by ACTG/AMC in low and middle income countries. Methods: We estimated mortality rates over the trial period. Cox proportional hazards regressions were used to identify baseline characteristics associated with mortality and compared mortality rates between participants who had Kaposi sarcoma progression within 12 weeks of treatment initiation (early KS-PD) and those who did not. Results: Of the 329 and 189 eligible participants in A5263/AMC066 and A5264/AMC067, 71 (21.6%) and 24 (12.7%) died, respectively. In both trials, hypoalbuminemia was associated with increased hazards of death compared to normal albumin; A5263/AMC066: mild hypoalbuminemia (adjusted hazard ratio (aHR)=3.01; 95% CI: 1.42–6.29), moderate hypoalbuminemia (aHR=5.11; 95% CI: 2.54–10.29), and severe hypoalbuminemia (aHR=14.58; 95% CI:6.32–35.60), and A5264/AMC067: mild hypoalbuminemia (aHR=5.66; 95% CI: 1.90–16.93) and moderate hypoalbuminemia (aHR=7.02; 95% CI: 2.57–19.15). The rate of death was higher among participants who had early KS-PD than those without early KS-PD in A5263/AMC066 (HR=5.09; 95% CI: 1.71–15.19) but not in A5264/AMC067 (HR=1.74; 95% CI:0.66–4.62). Conclusions: Albumin measurements may be used to identify individuals at higher risk of death after initiating KS treatment and for evaluation of interventions that can reduce AIDS-KS mortality.

Single-center experience of efficacy and safety of atrioventricular node ablation after left bundle branch area pacing for the management of atrial fibrillation.

Atrioventricular node ablation (AVNA) with permanent pacing is an effective treatment of symptomatic atrial fibrillation (AF). Left bundle branch area pacing (LBBAP) prevents cardiac dyssynchrony associated with right ventricular pacing and could prevent worsening of heart failure (HF). In this retrospective monocentric study, all patients who received AVNA procedure with LBBAP were consecutively included. AVNA procedure data, electrical and echocardiographic parameters at 6 months, and clinical outcomes at 1 year were studied and compared to a matched cohort of patients who received AVNA procedure with conventional pacing between 2010 and 2023. Seventy-five AVNA procedures associated with LBBAP were studied. AVNA in this context was feasible, with a success rate of 98.7% at first ablation, and safe without any complications. There was no threshold rise at follow-up. At 1 year, 6 (8%) patients were hospitalized for HF and 2 (2.7%) were deceased. Patients had a significant improvement in NYHA class and left ventricular ejection fraction (LVEF) (P ≤ 0.0001). When compared to a matched cohort of patients with AVNA and conventional pacing, AVNA data and pacing complications rates were similar. Patients with LBBAP had a better improvement of LVEF (+5.27 ± 9.62% vs. -0.48 ± 14%, P = 0.01), and a lower 1-year rate of composite outcome of hospitalization for HF or death (HR 0.39, 95% CI: 0.16-0.95, P = 0.037), significant on survival analysis (log-rank P-value = 0.03). AVNA with LBBAP in patients with symptomatic AF is feasible, safe, and efficient. Hospitalization for HF or death rate was significantly lower and LVEF improvement was greater.

Pericardial Effusion in COVID-19 Hospitalized Patients in ICU: Prevalence, Related Factors, and Outcomes

Purpose: COVID-19 disease is associated with pericardial effusion through both direct invasions of myocardial tissue and activation of inflammatory processes and oxidative stress. However, its exact mechanism and related implications are unclear. We aimed to evaluate the pericardial effusion in hospitalized patients with a definite diagnosis of COVID-19 and finally to determine underlying factors related to this cardiac event. Finally, the hospital outcome of patients with and without pericardial involvement was compared. Materials and Methods: The hospital records of 1824 patients suffering from COVID-19 were reviewed with respect to pieces evidence of pericardial effusion. Baseline characteristics, cardiovascular risk profiles, laboratory and echocardiography parameters as well as hospital outcomes were reviewed. Results: Out of 1824 patients hospitalized with COVID-19 in our medical center in Intensive Care Unit (ICU) sections, a total of 300 cases (16.4%) (P value &lt;0.05) had evidence of pericardial effusion. Patients with pericardial effusion had much higher mean age, higher mean heart rate and also a higher prevalence of hypertension, diabetes mellitus, and a history of ischemic heart disease compared to those without this complication. The changes in some echocardiography parameters, including left ventricular end-diastolic diameter, E/A ratio, E/Ep ratio, and tricuspid annular plane systolic excursion were more prominent in those with pericardial effusion. Those with pericardial effusion experienced longer hospitalization and ICU admission and the death rate was significantly higher in such patients. Conclusion: The occurrence of pericardial effusion is predictable in about 16.4% of patients with COVID-19, which occurs mainly in older people and people with a history of cardiovascular risk profiles. Pericardial effusion in COVID-19 patients leads to poorer in-hospital outcome.

Infant Deaths After Texas’ 2021 Ban on Abortion in Early Pregnancy

Prior observational research has shown that infants born in states with more abortion restrictions are more likely to die during infancy. It is unclear how recent and more severe abortion bans in the US have impacted infant mortality. To examine whether Texas Senate Bill 8 (SB8), which banned abortions after embryonic cardiac activity and did not allow exemptions for congenital anomalies, is associated with infant mortality in the state of Texas. This population-based cohort study of all recorded infant deaths from the state of Texas and 28 comparison states used a comparative interrupted time series analysis with an augmented synthetic control approach and national birth certificate data from January 1, 2018, to December 31, 2022, to estimate the difference between the number of observed and expected infant and neonatal deaths and death rates among monthly cohorts exposed to Texas' SB8. Deaths in March 2022 were treated as the first cohort exposed to the Texas' SB8 abortion policy because these infants (if born full term) were approximately 10 to 14 weeks' gestation when SB8 went into effect on September 1, 2021. The exposure period was thus March through December 2022. Our outcomes were monthly counts and rates of infant (aged <1 year) and neonatal (aged <28 days) deaths in the exposure period in Texas. In secondary analyses, annual changes in cause-specific infant deaths between 2021 and 2022 in Texas and the rest of the US were examined. Between 2018 and 2022, there were 102 391 infant deaths in the US, with 10 351 of these deaths occurring in the state of Texas. Between 2021 and 2022, infant deaths in Texas increased from 1985 to 2240, or 255 additional deaths. This corresponds to a 12.9% increase, whereas the rest of the US experienced a comparatively lower 1.8% increase. On the basis of the counterfactual analysis that used data from Texas and eligible comparison states, an excess of 216 infant deaths (95% CI, -122 to 554) was observed from March to December 2022, or a 12.7% increase above expectation. At the monthly level, significantly greater-than-expected counts were observed for 4 months between March and December 2022: April, July, September, and October. An analysis of neonatal deaths found somewhat similar patterns, with significantly greater-than-expected neonatal deaths in April and October 2022. Descriptive statistics by cause of death showed that infant deaths attributable to congenital anomalies in 2022 increased more for Texas (22.9% increase) but not the rest of the US (3.1% decrease). This study found that Texas' 2021 ban on abortion in early pregnancy was associated with unexpected increases in infant and neonatal deaths in Texas between 2021 and 2022. Congenital anomalies, which are the leading cause of infant death, also increased in Texas but not the rest of the US. Although replication and further analyses are needed to understand the mechanisms behind these findings, the results suggest that restrictive abortion policies may have important unintended consequences in terms of trauma to families and medical cost as a result of increases in infant mortality. These findings are particularly relevant given the recent Dobbs v Jackson Women's Health Organization US Supreme Court decision and subsequent rollbacks of reproductive rights in many US states.

Trends and Outcomes among Pregnancy and Nonpregnancy-Related Hospitalizations with Diabetic Ketoacidosis.

The study's primary objective was to evaluate adverse outcomes among reproductive-age hospitalizations with diabetic ketoacidosis (DKA), comparing those that are pregnancy-related versus nonpregnancy-related and evaluating temporal trends. We conducted a retrospective cross-sectional study using the National Inpatient Sample to identify hospitalizations with DKA among reproductive-age women (15-49 years) in the United States (2016-2020). DKA in pregnancy hospitalizations was compared with DKA in nonpregnant hospitalizations. Adverse outcomes evaluated included mechanical ventilation, coma, seizures, renal failure, prolonged hospital stay, and in-hospital death. Multivariable Poisson regression models with robust error variance were used to estimate adjusted relative risk (aRR) and 95% confidence interval (CI). Annual percent change (APC) was used to calculate the change in DKA rate over time. Among 35,210,711 hospitalizations of reproductive-age women, 447,600 (1.2%) were hospitalized with DKA, and among them, 13,390 (3%) hospitalizations were pregnancy-related. The rate of nonpregnancy-related DKA hospitalizations increased over time (APC = 3.8%, 95% CI = 1.5-6.1). After multivariable adjustment, compared with pregnancy-related hospitalizations with DKA, the rates of mechanical ventilation (aRR = 1.56, 95% CI = 1.18-2.06), seizures (aRR = 2.26, 95% CI = 1.72-2.97), renal failure (aRR = 2.26, 95% CI = 2.05-2.50), coma (aRR = 2.53, 95% CI = 1.68-3.83), and in-hospital death (aRR = 2.38, 95% CI = 1.06-5.36) were higher among nonpregnancy-related hospitalizations with DKA. A nationally representative sample of hospitalizations indicates that over the 5-year period, the rate of nonpregnancy-related DKA hospitalizations increased among reproductive age women, and a higher risk of adverse outcomes was observed when compared with pregnancy-related DKA hospitalizations. · Over 5 years, the rate of pregnancy-related DKA hospitalizations was stable.. · Over 5 years, the rate of nonpregnancy-related DKA hospitalizations increased.. · There is a higher risk of adverse outcomes with DKA outside of pregnancy..

The burden of premature coronary heart disease among adults with low socioeconomic status in Argentina: A modeling study.

The well-established inverse relationship between socioeconomic status (SES) and risk of developing coronary heart disease (CHD) cannot be explained solely by differences in traditional risk factors. To model the role SES plays in the burden of premature CHD in Argentina. We used the Cardiovascular Disease Policy Model-Argentina to project incident CHD events and mortality in low and high-SES Argentinean adults 35 to 64 years of age from 2015 to 2024. Using data from the 2018 National Risk Factor Survey, we defined low SES as not finishing high-school and/or reporting a household income in quintiles 1 or 2. We designed simulations to apportion CHD outcomes in low SES adults to: (1) differences in the prevalence of traditional risk factors between low and high SES adults; (2) nontraditional risk associated with low SES status; (3) preventable events if risk factors were improved to ideal levels; and (4) underlying age- and sex-based risk. 56% of Argentina´s 35- to 64-year-old population has low SES. Both high and low SES groups have poor control of traditional risk factors. Compared with high SES population, low SES population had nearly 2-fold higher rates of incident CHD and CHD deaths per 10 000 person-years (incident CHD: men 80.8 [95%CI 76.6-84.9] vs 42.9 [95%CI 37.4-48.1], women 39.0 [95%CI 36.-41.2] vs 18.6 [95%CI 16.3-20.9]; CHD deaths: men 10.0 [95%CI 9.5-10.5] vs 6.0 [95%CI 5.6-6.4], women 3.2 [95%CI 3.0-3.4] vs 1.8 [95%CI 1.7-1.9]). Nontraditional low SES risk accounts for 73.5% and 70.4% of the event rate gap between SES levels for incident CHD and CHD mortality rates, respectively. CHD prevention policies in Argentina should address contextual aspects linked to SES, such as access to education or healthcare, and should also aim to implement known clinical strategies to achieve better control of CHD risk factors in all socioeconomic levels.

Implementation of Improved U-Net and Optimized XGBoost-SVM Classifier for Early Detection of Masses and Microcalcifications in Breast

Purpose: In contemporary time, breast cancer has been extensively found among women at a global rate of 24.2% as of 2018. This exposes the significant and imperative need for detecting masses and micro calcifications in the breast to avoid death rates. The existing histopathological images have gained a golden standard considering they would afford reliable results. However, these images have been entangled with various complexities including insufficient image contrast, noise, and misdiagnosis. These pitfalls might negatively impact the detection rate for which automatic recognition has become vital. With the momentous evolvement of Machine Learning (ML) and Deep Learning (DL), various researchers have endeavoured to consider ML and DL for accomplishing this prediction. However, they need to improve in accuracy rate due to ineffective feature extraction, and most studies averted to consider segmentation. Hence, this study regards accomplishing a high classification and segmentation process. Materials and Methods: The study proposes Modified Weight Updated Convolutional Block-U-Net (MWu-Conv-U-Net) to handle the image dimensions optimally. In this case, U-Net based model is regarded by improvising it with the inclusion of an additional convolutional layer in individual encoder-decoder. Further, the study proposes an Optimized Weight Updated eXtreme Gradient Boosting-Support Vector Machine (OWu-XGBoost-SVM) for determining the optimal gradient, which would eventually enhance the prediction rate. Results: The overall performance is assessed through performance metrics to confirm its effectiveness in classifying and segmenting the Breast Cancer Histopathological (BACH) image dataset. Comparison is undertaken with conventional systems in accordance with metrics (recall, F1-score, precision, and accuracy). The results revealed the efficacy of the proposed system with 99% accuracy, 99% F1-score, 99% precision, and 99% recall. Conclusion: High accuracy procured through the analysis reveals its efficacy and hence it could be applicable for real-time execution for assisting medical experts in early breast cancer prognosis.

Efektivitas Beberapa Jenis Insektisida Nabati Terhadap Hama Kutu Beras (Sitophilus oryzae L.) pada Beras Siam

This research was conducted to determine the effectiveness of using several type of botanical insecticides and types of botanical insecticides that are more effective against rice weevil pests (Sitophilus oryzae L.) on siam rice. The method used in this research was the Completely Randomized Design (CRD) method which consisted of 6 treatments, each of which was repeated 4 times so that there were 24 experimental units. The treatment is a type of botanical insecticide consisting of P0 = Control (no botanical insecticide), P1 = 7.5 g of breadfruit leaf flour, P2 = 7.5 g of guava leaf flour, P3 = 7.5 g of noni leaf flour, 5 g, P4 = 7.5 g kaffir lime leaf flour and P5 = 7.5 g papaya leaf flour. The results of the research showed that several types of botanical insecticides used, namely breadfruit leaves, guava, noni and papaya, were not effective in controlling rice weevil pests (≤50%) but had the ability to reduce mortality, efficacy and speed of death of rice weevil pests (Sitophilus oryzae L.) and loss of rice weight. The most effective type of botanical insecticide in controlling the rice weevil pest (Sitophilus oryzae L.) is kaffir lime leaves with efficacy and mortality values ​​of 68.75%, pest death rate of 0.69% and rice weight loss percentage 0%.

Mebendazole Suppresses Tumor Growth and Hinders the Invasion of Triple-Negative Breast Cancer in Model Systems by Disrupting RAN-GTP Regulation

Due to the lack of targeted therapies, triple-negative breast cancer (TNBC), one of the most aggressive types of cancer, has a poor prognosis and a high death rate. TNBC frequently metastasizes to the brain, bones, and lungs. Studies have demonstrated a correlation between the metastatic behavior of A594 lung cancer cells and MDA-MB-231 breast cancer cells and the overexpression of the RAN GTP (RAN) gene. Using a variety of biological assays, this study sought to investigate mebendazole’s potential as an anticancer agent by specifically targeting the RAN gene. Both MDA-MB-231 breast cancer cells (IC50 7.5 μM) and A549 lung cancer cells (IC50 48.5 μM) were shown to be resistant to mebendazole’s ability to promote cell growth. The cytotoxic effect of mebendazole via the apoptotic pathway was confirmed by Annexin V assays on both cell lines. Furthermore, mebendazole demonstrated enhanced efficacy against TNBC by halting the cell cycle, preventing colony formation, invasion, and migration, and reducing RAN GTPase expression in both cell lines.

The landscape of the COVID-19 pandemic in Poland emerging from epidemiological and genomic data

The COVID-19 pandemic has profoundly affected all aspects of our lives. Through real-time monitoring and rapid vaccine implementation, we succeeded in suppressing the spread of the disease and mitigating its consequences. Finally, conclusions can be summarized and drawn. Here, we use the example of Poland, which was seriously affected by the pandemic. Compared to other countries, Poland has not achieved impressive results in either testing or vaccination, which may explain its high mortality (case fatality rate, CFR 1.94%). Through retrospective analysis of data collected by the COVID-19 Data Portal Poland, we found significant regional differences in the number of tests performed, number of cases detected, number of COVID-19-related deaths, and vaccination rates. The Masovian, Greater Poland, and Pomeranian voivodeships, the country’s leaders in vaccination, reported high case numbers but low death rates. In contrast, the voivodeships in the eastern and southern parts of Poland (Subcarpathian, Podlaskie, Lublin, Opole), which documented low vaccination levels and low case numbers, had higher COVID-19-related mortality rates. The strong negative correlation between the CFR and the percentage of the population that was vaccinated in Poland supports the validity of vaccination. To gain insight into virus evolution, we sequenced more than 500 genomes and analyzed nearly 80 thousand SARS-CoV-2 genome sequences deposited in GISAID by Polish diagnostic centers. We showed that the SARS-CoV-2 variant distribution over time in Poland reflected that in Europe. Haplotype network analysis allowed us to follow the virus transmission routes and identify potential superspreaders in each pandemic wave.

Mortality rates for men and women from cerebrovascular and nervous diseases in the regions of Russia in 2013 and 2022

In recent years, researchers have noted an increase in mortality from neurodegenerative diseases and a decrease in mortality from strokes. There have been no studies comparing mortality from these causes in the regions of the Russian Federation.Aim: comparative analysis of regional (age-) standardized death rate (SDR) among men and women from cerebrovascular diseases (CVD) and nervous system diseases (NSD) in 2013 and 2022 and discussion of factors influencing SDR.Materials and methods. Rosstat data obtained upon request were used. SDR was calculated using software (state registration number of computer program 216661114) using the European Standard Population using the direct standardization method per 100 thousand population; The average regional SDR values were calculated for the class of NSD and individual groups from this class, CVB (codes I60–69).Results. A decrease in the regional average SDR from CVD was revealed among men (218.09 ± 60.81 in 2013 and 159.41 ± 51.20 per 100 thousand people in 2022) and women (144.30 ± 39.33 and 103.51 ± 32.63 respectively) and the increase in SDR from LBP (19.77 ± 17.70 and 65.99 ± 56.67 for men, 10.99 ± 11.32 and 52.81 ± 46.13 for women). Only in 4 regions was there a decrease in SDR from both NSD and CVD in both men and women. The dispersion of regional SDRs from NSD and CVB in 2022 compared to 2013 increased by more than 10 times, which indicates a significant and growing regional variability of indicators. In the stroke group, the most significant decrease occurred from “Stroke not specified as hemorrhage or infarction” (code I64). The regional average contribution of acute stroke (codes I60–64) to the SCS from NSD and CVB (in total) decreased (in 2013 among women 51.57 ± 16.26 %, in 2022 33.96 ± 14.95 %; among men 54.0 ± 15.01 and 39.82 ± 14.26 respectively). Alzheimer’s disease makes a negligible contribution to mortality; In men in certain regions, alcohol-associated LBP is significant.Conclusions. Significant regional variability of SDR from individual groups of causes and a general trend towards a decrease in SDR from CVD and an increase in SDR from NSD were revealed, which is due to many factors. To eliminate the influence of different approaches to determining the cause of death, a unified protocol of criteria for their establishment is necessary.

Assessing the impact of long-acting injectable compared to oral antipsychotic medications on readmission to a state psychiatric hospital.

People living with schizophrenia spectrum disorder (SSD) have a higher death rate which is caused, in part, by poorer adherence to treatment as compared to those with other mental illnesses. Using long-acting injectable antipsychotic (LAI) medications can improve medication adherence and reduce hospitalizations for people living with SSD but are often underutilized. As compared to oral antipsychotic medications provided to patients with SSD at discharge from a psychiatric hospitalization, being provided with an LAI antipsychotic medication may reduce subsequent rehospitalization. Specifically, patients discharged on an atypical or second-generation LAI medication are less likely to be readmitted to the hospital when compared to those discharged on a typical first-generation oral medication. Because LAI antipsychotic medications are often underutilized as treatment options, the study findings suggest that this modality may be considered for patients with SSD when being discharged from a psychiatric hospitalization. Ideally, psychiatric-mental health nurses can educate patients about indications, benefits, and risks of using atypical or second-generation LAI antipsychotic medications during hospitalization and at discharge prevent the risk for future rehospitalizations. INTRODUCTION: People living with schizophrenia spectrum disorder (SSD) have poorer medication adherence compared to those with other mental illnesses. Long-acting injectable antipsychotic (LAI) medication use is associated with greater adherence, reduced re-hospitalizations, and improved recovery outcomes when compared to oral formulations. To compare LAI antipsychotic medication use versus oral formulations on readmission to an inpatient hospital. Medical records (N = 707) from a state psychiatric hospital in the southern region of the United States were reviewed. Controlling for demographic variables, logistic regression analyses were used to examine LAI compared to oral formulations on readmission. Compared to patients discharged with oral antipsychotic medications, those with LAIs had a lower proportion of readmission rates in 6-month and 1-year periods, but not 30-day or 2-year periods. When controlling for demographic variables, those discharged with an atypical LAI had significantly lower odds of being readmitted within the 24-year period compared to those discharged on a typical oral antipsychotic. Compared to orals, LAIs do not increase and may mitigate readmissions to psychiatric hospitalization. Psychiatric-mental health nurses and other professionals may recommend LAIs when indicated for those with SSD.

Use of an embolic protection device during carotid artery stenting is associated with lower periprocedural risk

ObjectiveTo investigate associations between individual embolic protection device (EPD) use and respective center policy with periprocedural outcomes after carotid artery stenting (CAS).MethodsThis analysis is based on the nationwide German statutory...