Greatest Number Of Deaths Research Articles

Global burden of ischemic stroke attributable to high body mass index in 204 countries and territories, 1990–2021

BackgroundA high body mass index (hBMI) is one of the major risk factors for ischemic stroke (IS), although independent estimates of the global burden and trend of IS attributable to hBMI are unclear.MethodsStudy data were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study and analysed by age, sex, year, and geographical location. The sociodemographic index (SDI) and the human development index (HDI) were used as indicators of national socioeconomic status. Geographic distributions and trends were assessed by calculating the estimated annual percentage change (EAPC). Associations between the age-standardized death rate (ASMR) or disability-adjusted life year rate (DALY) and socioeconomic status were analysed.ResultsDeaths and DALYs increased worldwide from 1990–2021, with increases of 95.74% for the former and 133.00% for the latter; the ASMR and ASDR decreased, with an ASMR and ASDR-related EAPCs of -1.10 (95% CI: -1.24–-0.96) and 0.04 (95% CI:-0.47–0.55), respectively; women had greater numbers of deaths and DALYs, and the majority of deaths and DALYs were shared by those aged ≥ 70. The highest burden rates were shared by Eastern Europe, North Africa, the Middle East, and Central Asia. The ASMR-related EAPCs were associated with the ASMR in 1990 (R = -0.35, P < 0.001) and the SDI in 2021 in different countries (R = -0.66, P < 0.001); these patterns were similar to those of the ASDR; the HDI in 2021 was associated with the ASMR-related EAPC (R = -0.71, P < 0.001) and the ASDR-related EAPC in different countries (R = -0.71, P < 0.001).ConclusionsThe number of deaths and DALYs from ischemic stroke attributable to hBMI worldwide increased substantially from 1990–2021. Successful population-wide initiatives targeting hBMI may mitigate a wide range of burdens on this disease. Taking into account variations in the SDI burden, future prevention and control strategies must be developed and implemented according to country-specific development status.

Trend in the age mortality structure during the COVID-19 pandemic

Introduction. The COVID-19 pandemic, caused by a novel SARS-CoV-2 coronavirus infection, lasted just over three years. Its end was announced in early May 2023. According to official data, the pandemic claimed 6.9 million lives worldwide, but it is believed that at least 20 million people were victims. The first wave of the pandemic was caused by a virus that spread from China. The virus mainly kills representatives of older age groups of the population and is characterized by a high degree of mutagenicity, which contributes to the emergence of new strains of the virus. The most aggressive and established in the population new strains of the virus spread and gave rise to the second wave of the pandemic, which turned out to be the longest. The third wave was caused by the most aggressive strain, spreading from India, and caused the greatest number of deaths. Aim of the study was to identify the extent to which changes in the virus itself affected the gender and age mortality structure during the three waves of the COVID-19 pandemic observed between 2020 and 2021. Materials and methods. The method of single factor analysis of variance was applied. The study was based on the data of the Operational Headquarters under the Government of Samara region, which were published daily with the indication of gender, age, and cause of each death. Results. The analysis confirmed the influence of the virus variability factor on the age mortality structure at the significance level of p&lt;0.05. Comparison of the diagrams of the shares of the selected age segments in the mortality of men and women in each of the pandemic waves clearly showed how the gender and age mortality structure changed. The result of the analysis of variance showed that the changes occurring in the virus itself, although not as significant, affected the mortality pattern, with male mortality being more affected than female mortality. Conclusion. The result of the analysis of variance showed changes occurring in the virus itself to have an impact on the mortality structure, and on male mortality to a greater extent than on female mortality.

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.

Clinical case of COVID-19 in an HIV-infected teenager

The problem of non-smooth course of COVID-19 in people with severe comorbidities is topical. The greatest number of deaths from a new coronavirus infection was noted in the presence of such diseases as: obesity, chronic bronchopulmonary, cardiovascular diseases, HIV infection, diabetes mellitus, oncohematology, etc. Due to the focus of the healthcare system on the COVID-19 pandemic, less attention is paid to the fight against the immunodeficiency virus, despite the fact that the epidemiological situation with HIV infection in the Russian Federation continues to be tense. Individuals with HIV infection may be at increased risk of complications and death associated with COVID-19. The stage of HIV infection, indicators of the immune status, viremia, and taking antiretroviral therapy correlate with the severity of the course of COVID-19/HIV and have prognostic value. A clinical observation of the course of a new coronavirus infection in a 15-year-old teenager born to an HIV infected mother (who hid her HIV status at the time of hospitalization of a child) who was not at a dispensary observation at the AIDS Center was presented. The child was hospitalized with a new coronavirus infection (COVID-19), complicated: acute community-acquired (interstitial) bilateral pneumonia. The low index body mass of the child, the presence of concomitant pathology, the non-smooth course of the disease made it possible to suspect the patient of an immunodeficiency condition and identify concomitant HIV infection in the secondary disease stage (4B), the progression phase with the absence of antiretroviral therapy. Conclusion: the non-smooth course and severity of the disease were mainly due to secondary infections pathology. Severe immunosuppression detected in a child due to HIV infection contributed to the long-term persistence of the SARS-CoV-2 virus. In this case, it was not established that HIV infection in the patient was a factor predisposing to the severe course of COVID-19 and contributing to a prognostically unfavorable outcome. Complex therapy including antiretroviral therapy prevented further progression of immunosuppression and led to recovery from new coronavirus infection and management of comorbidity. The increase in the number of HIV-infected persons in the late stages of infection, often detected by chance, only during hospitalization, presents difficulties for therapy due to late diagnosis, the presence of a combined secondary pathology and the severity of its course against the background of low immune status parameters.

Clinical features of coronary artery disease and 5-year survival of patients after myocardial infarction against the background of depressive disorders

Aim. To assess the features of the clinical picture of coronary artery disease (CAD) and the prognosis of patients with myocardial infarction with depressive disorder (DD).&#x0D; Materials and methods. We examined 101 patients with stable CAD who had myocardial infarction more than six months ago: 67 CAD patients with depression (Group 1) and 34 CAD patients without depression (Group 2). The clinical picture of CAD was assessed by complaints, angina self-monitoring diaries, and exercise tests. The presence and severity of DD was determined using psychometric scales: BDI (Beck Depression Scale), HADS (Hospital Anxiety and Depression Scale) and the opinion of a psychiatrist. Five-year survival information was obtained through telephone interviews with patients and their relatives.&#x0D; Results. In patients with CAD and DD in comparison with patients without DD self-monitoring diaries revealed more frequent angina attacks: 9 [6; 12] vs 6 [4; 7] per week (p=0.0001), the greater need for sublingual nitrates: 2 [0; 9] pills vs 0 [0; 4] pills (p=0.0001). DD significantly reduced exercise tolerance: 370 [250; 450] meters vs 435 [350; 500] meters using the six-minute walk test (p=0.04), according to the results of bicycle ergometry – 50 [25; 75] W vs 75 [50; 75] W (p=0.03). After 5 years of follow-up patients with comorbidities (CAD and DD) had a greater number of deaths: 13 (19.4%) vs 2 (5.9%), respectively, survived – 54 (80.6%) vs 32 (94.1%) (Gehan–Wilcoxon test, p=0.04).&#x0D; Conclusion. The comorbidity CAD and DD leads to a worsening of the clinical course of CAD and prognosis, which actualizes the need for verification of the diagnosis of DD and timely prescription of antidepressant therapy.

Outcome of Cardiovascular Diseases in Coronavirus Disease 2019 Patients in a Tertiary Care Hospital in South India

Abstract Context: Coronavirus disease 2019 (COVID-19), an infection involving the respiratory system caused by severe acute respiratory syndrome coronavirus 2, caused significant mortality and morbidity in the population. Certain studies showed that patients with cardiovascular diseases (CVDs) tend to have worse prognoses. Hence, this study was conducted to determine the role of CVD as a risk factor in COVID-19 disease. Objectives: The primary objective was to determine the CVD as a risk factor for death among COVID-19 patients. Materials and Methods: This retrospective cohort study was conducted in a tertiary care hospital in South India including all patients above 18 years of age who were admitted with COVID-19 disease in the hospital from March 2021 to June 2022. The data were retrieved from the medical records department of the hospital and were recorded in a predesigned data extraction sheet. Statistical Analysis Used: Baseline clinical characteristics were shown as mean (standard deviation), median (range), or number (%), with a comparison of characteristics in subjects stratified by case and control through the nonparametric Mann–Whitney U test for continuous variables and Chi-square or Fisher’s exact test for binary variables. Results: The study included 1127 COVID-19 patients, 86.2% were discharged, and 13.8% died. Patients aged over 60 years were hospitalised the most (53.2%), with a 16.2% mortality rate. Mild cases (62.9%) had a 2.96% mortality rate, whereas severe/intensive care unit (ICU) cases (10.5%) had a 65.3% mortality rate. Patients with preexisting CVD had a higher mortality rate (32.27%) compared to those without CVD (6.53%). Among specific CVD conditions, coronary artery disease (CAD) patients had a 15.07% mortality rate, while those without CAD had a 13.58% mortality rate, showing no significant difference. Patients with hypertension (HTN) (45.7%) and diabetes (53.2%) had higher mortality rates of 17.08% and 16.66%, respectively, compared to those without these conditions. Other factors such as angina, congestive heart failure, peripheral vascular disease, cerebrovascular accidents (CVA), and chronic kidney disease also showed varying impacts on patient outcomes. Conclusions: In our study, 972 (86.2%) patients were discharged and 155 (13.8%) patients were deceased. There was more mortality in male patients (15.4%). Mortality was more in patients &lt;40 years old (21.6%). Severe cases had the greatest number of deaths (65.3%). Patients hospitalised for more than seven days had the highest death percentage (21.6%). More deaths were found in patients with preexisting CVDs, HTN, and diabetes mellitus. Thus, similar kinds of studies are needed in the future for a further warrant and a better understanding of the COVID-19 outcome in patients with CVDs.

Statistical analysis and decision trees to identify risk factors in the Mexican population due to COVID-19 pandemic

Introduction: the COVID-19 pandemic caused by the new SARS-CoV-2 virus was a big challenge to the world and was responsible for a vast number of deaths in a brief period; one of the countries with the greatest number of deaths was México. For this reason, studying this emergency is crucial.Objective: study and compare the available statistics for Mexico about the COVID-19 pandemic and build a machine learning model that helps to identify the risk factors of the Mexican population.Methods: this research is structured into three sections. Firstly, a worldwide and national statistical analysis, then a decision tree-based model, and lastly, research about the results of the vaccination campaign. Different databases were used to fulfill the objectives of each section. Results: with international information, the number of cases and deaths were studied for a group of countries; in addition, this study compared daily cases and deceases in México, Colombia, and Spain. The national data was used to obtain different statistics and a decision tree-based model. For the vaccination campaign, various statistics were gathered.Conclusions: even though international statistics did not help determine if comorbidities had a significant effect on deceases, national statistics indicate that they were a risk factor for passing away due to COVID-19. Similarly, the decision tree model indicated that hospitalization was a common characteristic among deceased people. For the vaccination campaign, the lack of data was a problem in identifying the role this event had in the development of the pandemic; nevertheless, the international surveillance systems received an exceptional number of reports about adverse events; for this reason, each person should decide if they need a vaccine

Rising global burden of cancer attributable to high BMI from 2010 to 2019

BackgroundHigh body mass index (BMI) is a major risk factor for cancer development, but its impact on the global burden of cancer remains unclear. MethodsWe estimated global and regional temporal trends in the burden of cancer attributable to high BMI, and the contributions of various cancer types using the framework of the Global Burden of Disease Study. ResultsFrom 2010 to 2019, there was a 35 % increase in deaths and a 34 % increase in disability-adjusted life-years from cancers attributable to high BMI. The age-standardized death rates for cancer attributable to high BMI increased over the study period (annual percentage change [APC] +0.48 %, 95 % CI 0.22 to 0.74 %). The greatest number of deaths from cancer attributable to high BMI occurred in Europe, but the fastest-growing age-standardized death rates and disability-adjusted life-years occurred in Southeast Asia. Liver cancer was the fastest-growing cause of cancer mortality (APC: 1.37 %, 95 % CI 1.25 to 1.49 %) attributable to high BMI. ConclusionThe global burden of cancer-related deaths attributable to high BMI has increased substantially from 2010 to 2019. The greatest increase in age-standardized death rates occurred in Southeast Asia, and liver cancer is the fastest-growing cause of cancer mortality attributable to high BMI. Urgent and sustained measures are required at a global and regional level to reverse these trends and slow the growing burden of cancer attributed to high BMI.

Epidemiologic changes of infectious diseases in the post-SARS era in China, 2004–2018

ObjectivesTo outline 44 major infectious diseases in the post-SARS (severe acute respiratory syndrome) in China and describe their long-term trends and changes by age, sex, epidemic season, and province.BackgroundAfter the outbreak of severe acute respiratory syndrome (SARS) in 2003, with the change of infectious disease prevention and control system and the improvement of residents’ quality of life, the incidence and mortality of infectious diseases have undergone major changes.MethodsThe data of 44 major infectious diseases in China from 2004 to 2018 were obtained from the monthly analysis report of the China Information System for Disease Control and Prevention (CISDCP) and the Public Health Science Data Center. Joinpoint r regression models were used to examine trends in incidence and mortality for 44 major and important infectious diseases from 2004 to 2018.ResultsFrom 2004 to 2018, 20,105, 500, 772 patients (10, 306, 546, 523 males and 9, 798, 954, 249 females) were diagnosed with 44 major infectious diseases. The overall incidence of 44 infectious diseases increased significantly from 294.6 per 100,000 people in 2004 to 479.1 per 100,000 people in 2010, with 7.9% APC (95% CI 5.2% -10.7%, P < 0.001), then slowed, and then increased to 561.2 per 100,000 people in 2018, with 1.5% APC (-0.1%—3.2%, P = 0.070). The overall mortality rose significantly, from 0.49 to 1.13 per 100,000 people between 2004 and 2011, with an APC increase of 11.6% (7.7% -15.6%, P < 0.001), and then remained stable until 2018. Among these, the prevalence of vaccine-preventable diseases and gastrointestinal & enteroviral diseases remained high and increased year by year. Patients with zoonotic diseases have the greatest risk of death, while patients with sexually transmitted and blood-borne diseases have the greatest number of deaths. Incidence rates vary considerably across geographic regions. Western China has a disproportionate burden of infectious diseases compared with eastern regions.ConclusionsAfter the event of SARS in 2003, infectious disease preventing and controlling model has undergone major changes in China, and certain achievements have been made in this field. Although overall morbidity and case fatality rates are still rising, they have leveled off. In reducing the disproportionate disease burden in the western region, expanding vaccination programs, preventing further increases in rates of sexually transmitted diseases, renewing efforts for emerging and persistent infectious diseases, and addressing seasonal and unpredictable outbreaks (such as the COVID-19 pandemic), there are still remain many challenges.

The Silent Threat: Antimicrobial-Resistant Pathogens in Food-Producing Animals and Their Impact on Public Health.

The emergence of antimicrobial resistance (AMR) is a global health problem without geographic boundaries. This increases the risk of complications and, thus, makes it harder to treat infections, which can result in higher healthcare costs and a greater number of deaths. Antimicrobials are often used to treat infections from pathogens in food-producing animals, making them a potential source of AMR. Overuse and misuse of these drugs in animal agriculture can lead to the development of AMR bacteria, which can then be transmitted to humans through contaminated food or direct contact. It is therefore essential to take multifaceted, comprehensive, and integrated measures, following the One Health approach. To address this issue, many countries have implemented regulations to limit antimicrobial use. To our knowledge, there are previous studies based on AMR in food-producing animals; however, this paper adds novelty related to the AMR pathogens in livestock, as we include the recent publications of this field worldwide. In this work, we aim to describe the most critical and high-risk AMR pathogens among food-producing animals, as a worldwide health problem. We also focus on the dissemination of AMR genes in livestock, as well as its consequences in animals and humans, and future strategies to tackle this threat.

Prediction System for Covid-19 Upcoming Cases Using Ensemble Classification

An epidemic of the novel destructive Coronavirus has been spreading rapidly around the world since 2019 and has caused a great number of deaths. Providing patients with appropriate and most timely care is crucial to combating COVID-19 spread. Testing for the disease must be done quickly and accurately. Therefore, this paper developed an ensemble classification-based country-wise COVID-19 upcoming cases prediction model. This ensemble classification and prediction model shows the upcoming month's Corona virus cases, including newly confirmed cases, recovered cases, and deaths. This analysis is carried out based on these three cases occurring in different countries on sequential dates. The proposed model uses three famous classifiers, namely ANN, Gaussian Process and SVM which have different learning characteristics and architectures at the first stage. In the second stage, they combine their predictions with average calculations. Training and assessment of the proposed model were conducted using 75065 observations comprised of 61 features from John Hopkins University in Maryland. For data preparation, the envisioned work clusters the dataset based on world countries affected by COVID-19 separately. As a result, this set of clusters fetched data once again based on death, newly confirmed, and recovered cases. The experimental result shows the proposed ensemble model provides better performance when compared with previous classification algorithms.

Archimedes Optimization Algorithm with Deep Learning-Based Prostate Cancer Classification on Magnetic Resonance Imaging

Prostate cancer (PCa) is becoming one of the most frequently occurring cancers among men and causes an even greater number of deaths. Due to the complexity of tumor masses, radiologists find it difficult to identify PCa accurately. Over the years, several PCa-detecting methods have been formulated, but these methods cannot identify cancer efficiently. Artificial Intelligence (AI) has both information technologies that simulate natural or biological phenomena and human intelligence in addressing issues. AI technologies have been broadly implemented in the healthcare domain, including 3D printing, disease diagnosis, health monitoring, hospital scheduling, clinical decision support, classification and prediction, and medical data analysis. These applications significantly boost the cost-effectiveness and accuracy of healthcare services. This article introduces an Archimedes Optimization Algorithm with Deep Learning-based Prostate Cancer Classification (AOADLB-P2C) model on MRI images. The presented AOADLB-P2C model examines MRI images for the identification of PCa. To accomplish this, the AOADLB-P2C model performs pre-processing in two stages: adaptive median filtering (AMF)-based noise removal and contrast enhancement. Additionally, the presented AOADLB-P2C model extracts features via a densely connected network (DenseNet-161) model with a root-mean-square propagation (RMSProp) optimizer. Finally, the presented AOADLB-P2C model classifies PCa using the AOA with a least-squares support vector machine (LS-SVM) method. The simulation values of the presented AOADLB-P2C model are tested using a benchmark MRI dataset. The comparative experimental results demonstrate the improvements of the AOADLB-P2C model over other recent approaches.

Global mortality of snakebite envenoming between 1990 and 2019

Snakebite envenoming is an important cause of preventable death. The World Health Organization (WHO) set a goal to halve snakebite mortality by 2030. We used verbal autopsy and vital registration data to model the proportion of venomous animal deaths due to snakes by location, age, year, and sex, and applied these proportions to venomous animal contact mortality estimates from the Global Burden of Disease 2019 study. In 2019, 63,400 people (95% uncertainty interval 38,900–78,600) died globally from snakebites, which was equal to an age-standardized mortality rate (ASMR) of 0.8 deaths (0.5–1.0) per 100,000 and represents a 36% (2–49) decrease in ASMR since 1990. India had the greatest number of deaths in 2019, equal to an ASMR of 4.0 per 100,000 (2.3—5.0). We forecast mortality will continue to decline, but not sufficiently to meet WHO’s goals. Improved data collection should be prioritized to help target interventions, improve burden estimation, and monitor progress.

The effect of depressive disorder on the clinical presentation of coronary artery disease and five-year survival of patients after myocardial infarction

Aim. To assess the effect of depressive disorder (DD) on the clinical presentation of coronary artery disease (CAD) and five-year survival rate of patients with chronic CAD.Materials and methods. The study included 79 patients with functional class II–III exertional angina who experienced myocardial infarction more than 6 months before. The patients were divided into two groups: group 1 (n = 45) consisted of patients with CAD and depression and group 2 (n = 34) encompassed patients with CAD without depression. The clinical presentation of CAD was assessed by the results of filling out the angina pectoris self-control diary and exertion tests. The presence and severity of DD were determined using psychometric scales, such as Hospital Anxiety and Depression Scale (HADS) and Beck Depression Inventory (BDI), and verified by the psychiatrist. Information about five-year survival was obtained via telephone interviews with the patients and their relatives.Results. Patients with CAD and DD were characterized by more frequent episodes of angina pectoris during a week (10 [8; 14] vs 6 [4; 7], p = 0.000004), an increased demand for nitroglycerin (4 [0; 10] tablets vs 0 [0; 4] tablets, p = 0.001), and lower exercise tolerance (50 [25; 75] W vs 75 [50; 75] W (p = 0.06), 350 [250; 400] meters vs 435 [350; 500] meters (p = 0.01) than CAD patients without DD. The five-year survival rate was significantly lower in group 1 than in group 2 (69 [62; 72] vs 71 [68; 72] months (p = 0.04)), 35 (77.8%) vs 32 (94.1%) patients survived. In group 1, a greater number of deaths from cardiovascular accidents (10 (22.2%) vs 2 (5.9%)) was noted (log-rank test, p = 0.03).Conclusion. In patients with CAD, associated depression results in aggravation of the clinical course of CAD and poor disease prognosis, which requires timely diagnosis and treatment of DD.

Indole based prostate cancer agents

Abstract Cancer weakens the immune system which fails to fight against the rapidly growing cells. Among the various types of cancers, prostate cancer (PCa) is causing greater number of deaths in men after lung cancer, demanding advancement to prevent, detect and treat PCa. Several small molecule heterocycles and few peptides are being used as oncological drugs targeting PCa. Heterocycles are playing crucial role in the development of novel cancer chemotherapeutics as well as immunotherapeutics. Indole skeleton, being a privileged structure has been extensively used for the discovery of novel anticancer agents and the application of indole derivatives against breast cancer is well documented. The present article highlights the usefulness of indole linked heterocyclic compounds as well as the fused indole derivatives against prostate cancer.

Violences sexuelles entre partenaires intimes : caractéristiques et enjeux cliniques

IntroductionIntimate partner sexual violence is identified as a common form of intimate partner violence. It is also the most widespread form of sexual violence in the world, with one woman in four affected during her lifetime. In France, couple relationships appear to be the area of life most at risk of sexual victimization in adulthood. However, our understanding of this phenomenon is limited, with few targeted studies in the international literature and very little data in France. Most studies tend to focus on sexual violence in general or intimate partner violence in general, without exploring in depth the characteristics and issues of sexual violence when committed by a partner. While intimate partner violence is a major public health issue, what do we know about intimate partner sexual violence and how can we use this information to provide a better support for victims? ObjectivesThe aim of this article is to summarize the current state of the art about intimate partner sexual violence, along two major lines: a descriptive line, focusing on the nature, extent, and expressions of sexual violence in couples, as well as its clinical effects; and a food-for-thought line, focusing on the identification of issues likely to contribute to the harmful power of intimate partner sexual violence. Materials and methodsArticles were selected from referenced databases, such as PubMed, PsycInfo and Web of Science. The terms “intimate partner sexual violence” and “intimate partner rape” were used as first choice, and then the keywords “intimate partner violence; domestic violence; domestic abuse; intimate partner; relationship; battered women; spouse; wife; marital” were cross-referenced with the terms “rape; sexual violence; sexual abuse; sexual coercion; unwanted sex; forced sex”. The search for articles was carried out between February 2021 and May 2021. ResultsThe literature tends to indicate that intimate partner sexual violence develops mainly in relationships already marked by violence. It appears to be co-occurring with physical and psychological violence by the partner elsewhere in the relationship, but also simultaneously with the abuses. Intimate partner sexual violence is repetitive and has multiple expressions: their reality extends beyond intimate partner rape. They seem to be associated with unique deleterious effects for the victims, and could be an indicator of the severity of the overall situation of intimate partner violence, with increased post-traumatic and depressive symptomatology, as well as a greater number of deaths by suicide and homicide. However, they are still perceived as less serious than sexual violence by a non-partner or a stranger, both by society and by the women affected. This discrepancy between the seriousness of sexual violence between partners and its global and individual perception is to put into perspective with the dysfunctional dynamics of sexual consent in violent relationships. However, the research is scarce, and more studies are needed to provide a better understanding of the numerous aspects of intimate partner sexual violence. ConclusionsThe clinical reality of intimate partner sexual violence is both worrying and poorly understood. It must be recognized and addressed in treatment because of its traumatic potential and its power regarding psychological confusion for the victims. The current state of knowledge indicates that asking women who have experienced violence from their partner about sexual violence is an essential part of practice. The professionals in contact with this public must be properly trained to be able to provide adequate responses.

Troponin levels in COVID-19 patients and its correlation with the severity of disease and clinical outcomes

Introduction: The epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2) has become a major health problem globally. The most common cardiac manifestation of COVID-19 infection is acute cardiac injury observed in patients even without any prior cardiac comorbidities. It is seen that several patients positive for COVID-19 showed increased concentrations of cardiac troponin, which lead to confusion in clinical interpretation. Our study was performed to observe the correlation between elevated troponin levels with clinical outcomes and the severity of COVID-19 disease. Aim: To observe the correlation between elevated troponin levels with clinical outcomes and severity of COVID-19 disease. Materials and Methods: This was a cross-sectional study among 100 reverse transcription–polymerase chain reaction positive COVID-19 patients with measurement of troponin-I on the 1st and 5th days of admission. Results: The greatest number of deaths were reported in patients with troponin-I ≥ 0.39 ng/ml. Higher Troponin levels were seen in the elderly population. Higher Troponin Levels were also seen in severe diseases. Conclusion: The present study showed that higher troponin levels were associated with increased mortality in COVID-19 patients and higher values were observed with severe disease.

ACONVERGENCE OF MACHINE LEARNING AND STATISTICS TO PREDICT COVID-19 EVOLUTION

The effect of the Covid pandemic is not restricted to sickness and death but also extends to socioeconomic concerns. The statistics-based assessment of covid data presented is the measure of the damages that happened to citizens of a country and the required actions taken towards those damages. This study aims to analyse the consequences of numerous considerations on the deaths due to the pandemic. The paper presents the statistics-based processing of COVID-19 data using logistic regression (LR) and decision tree (DT). Results are compared using the logistic regression algorithm (based on statistics) and the decision tree algorithm (based on machine learning). This study presented the predictive abilities of logistic regression and decision tree approaches and observed better results for the decision tree method. An accuracy of 94.10% for decision tree and 93.90% for logistic regression, respectively observed. It is also observed that highly populated countries are inclined to have more corona cases than those with low density. More females die than males, and a greater number of deaths are observed in cases of age greater than sixty-five years. The experimental data is gathered from the official website of the world health organization (WHO) between January 2020 and June 2020. The results presented are promising for the reported studies.

Analysis of the racial profile of women with COVID-19: a cross-sectional study about evolution to death of black women in the southeast region of Brazil

Introduction: The first coronavirus disease (COVID-19) case in Brazil was registered in December 2019. Since then, an important social situation has been highlighted. Black women correspond to the highest death rate, by group, in the Southeast even not occupying the highest percentage of diagnosis. This scenario was also experienced in other places around the world. Therefore, some questions must be highlighted, such as social and economic vulnerability of black population in brazilian territory, less access to health service and testing for Covid-19. Objective: This study analyzed the clinical picture and evolution - cure or death-of black women with COVID-19 in the Southeast region. In addition, consolidating knowledge about the factors that precede death in black women and comparing them with other race groups. Methods: Cross-sectional study with data from the Ministry of Health's Severe Acute Respiratory Syndrome (SARS) from March to November 23, 2020, with a total number of women classified as level 5, with SARS caused by the virus SARS-Cov-2, equal to 33,991, being 21,551 white and 12,063 black. Results and Conclusion: Therefore, black women present themselves as a vulnerable group in relation to COVID-19. This group was less present in the ICU, but both groups, white and black women, had dyspnea as an aggravating factor. Considering those facts, it's possible that black women had less access, this would explain a greater number of deaths among this group compared to white women, which could signify a failure in the health care of this population. When analyzing deaths by age group, it is evident that white women followed the literature pattern - severe forms occur in patients over 65 years of age with comorbidities, while there was a rejuvenation of deaths among black women. It is a limitation of our study not to include comorbidities in the analysis. This situation becomes relevant for directing public policies that aim to reverse the factors associated with this situation. More studies are needed to elucidate the socioeconomic issues that support this outcome, seeking to reduce the number of deaths from COVID-19 in black women.

Poor quality for the poor? A study of inequalities in service readiness and provider knowledge in Indonesian primary health care facilities

BackgroundFor many low and middle-income countries poor quality health care is now responsible for a greater number of deaths than insufficient access to care. This has in turn raised concerns around the distribution of quality of care in LMICs: do the poor have access to lower quality health care compared to the rich? The aim of this study is to investigate the extent of inequalities in the availability of quality health services across the Indonesian health system with a particular focus on differences between care delivered in the public and private sectors.MethodsUsing the Indonesian Family Life Survey (wave 5, 2015), 15,877 households in 312 communities were linked with a representative sample of both public and private health facilities available in the same communities. Quality of health facilities was assessed using both a facility service readiness score and a knowledge score constructed using clinical vignettes. Ordinary least squares regression models were used to investigate the determinants of quality in public and private health facilities.ResultsIn both sectors, inequalities in both quality scores existed between major islands. In public facilities, inequalities in readiness scores persisted between rural and urban areas, and to a lesser extent between rich and poor communities.ConclusionIn order to reach the ambitious stated goal of reaching Universal Health Coverage in Indonesia, priority should be given to redressing current inequalities in the quality of care.