Status Of Disease Research Articles

2023 Diabetic Kidney Disease Fact Sheet in Korea.

To investigate the prevalence, incidence, comorbidities, and management status of diabetic kidney disease (DKD) and diabetes-related end-stage kidney disease (ESKD) in South Korea. We used the Korea National Health and Nutrition Examination Survey data (2019 to 2021, n=2,665) for the evaluation of prevalence, comorbidities, control rate of glycemia and comorbidities in DKD, and the Korean Health Insurance Service-customized database (2008 to 2019, n=3,950,857) for the evaluation of trends in the incidence and prevalence rate of diabetes-related ESKD, renin-angiotensin system (RAS) blockers and sodium glucose cotransporter 2 (SGLT2) inhibitors use for DKD, and the risk of atherosclerotic cardiovascular disease (ASCVD) and mortality according to DKD stages. DKD was defined as albuminuria or low estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in patients with diabetes mellitus. The prevalence of DKD was 25.4% (albuminuria, 22.0%; low eGFR, 6.73%) in patients with diabetes mellitus aged ≥30 years. Patients with DKD had a higher rate of comorbidities, including hypertension, dyslipidemia, and central obesity; however, their control rates were lower than those without DKD. Prescription rate of SGLT2 inhibitors with reduced eGFR increased steadily, reaching 5.94% in 2019. Approximately 70% of DKD patients were treated with RAS blockers. The prevalence rate of diabetesrelated ESKD has been steadily increasing, with a higher rate in older adults. ASCVD and mortality were significantly associated with an in increase in DKD stage. DKD is prevalent among Korean patients with diabetes and is an independent risk factor for cardiovascular morbidity and mortality, which requiring intensive management of diabetes and comorbidities. The prevalence of diabetes-related ESKD has been increasing, especially in the older adults, during past decade.

The additional value of 18F-FDG PET/CT imaging in guiding the treatment strategy of non-tuberculous mycobacterial patients

ObjectivesNon-tuberculous mycobacteria (NTM) infection is an increasing health problem due to delaying an effective treatment. However, there are few data on 18F-FDG PET/CT for evaluating the status of NTM patients. The aim of this study was to investigate the potential value of 18F-FDG PET/CT in guiding the treatment strategy of NTM patients.MethodsWe retrospectively analyzed the cases of 23 NTM patients who underwent 18F-FDG PET/CT. The clinical data, including immune status and severity of NTM pulmonary disease (NTM-PD), were reviewed. The metabolic parameters of 18F-FDG included maximum standardized uptake value (SUVmax), SUVmax of the most FDG-avid lesion (SUVTop), SUVTop/SUVmax of the liver (SURLiver), SUVTop/SUVmax of the blood (SURBlood), metabolic lesion volume (MLV), and total lesion glycolysis (TLG). The optimal cut-off values of these parameters were determined using receiver operating characteristic curves.ResultsThere were 6 patients (26.09%) with localized pulmonary diseases and 17 patients (73.91%) with disseminated diseases. The NTM lesions had high or moderate 18F-FDG uptake (median SUVTop: 8.2 ± 5.7). As for immune status, the median SUVTop in immunocompromised and immunocompetent patients were 5.2 ± 2.5 and 10.0 ± 6.4, respectively, with a significant difference (P = 0.038). As for extent of lesion involvement, SURLiver and SURBlood in localized pulmonary and disseminated diseases were 1.9 ± 1.1 vs. 3.8 ± 1.6, and 2.7 ± 1.8 vs. 5.5 ± 2.6, respectively, with a significant difference (P = 0.016 and 0.026). Moreover, for disease severity, SUVmax of the lung lesion (SUVI−lung) and SUVmax of the marrow (SUVMarrow) in the severe group were 7.7 ± 4.3 and 4.4 ± 2.7, respectively, significantly higher than those in the non-severe group (4.4 ± 2.0 and 2.4 ± 0.8, respectively) (P = 0.027 and 0.036). The ROC curves showed that SUVTop, SURLiver, SURBlood, SUVI−lung, and SUVMarrow had a high sensitivity and specificity for the identification of immune status, lesion extent, and severity of disease in NTM patients.Conclusion18F-FDG PET/CT is a useful tool in the diagnosis, evaluation of disease activity, immune status, and extent of lesion involvement in NTM patients, and can contribute to planning the appropriate treatment for NTM.

Iron Status and Risk of Heart Disease, Stroke, and Diabetes: A Mendelian Randomization Study in European Adults.

The relevance of iron status biomarkers for coronary artery disease (CAD), heart failure (HF), ischemic stroke (IS), and type 2 diabetes (T2D) is uncertain. We compared the observational and Mendelian randomization (MR) analyses of iron status biomarkers and hemoglobin with these diseases. Observational analyses of hemoglobin were compared with genetically predicted hemoglobin with cardiovascular diseases and diabetes in the UK Biobank. Iron biomarkers included transferrin saturation, serum iron, ferritin, and total iron binding capacity. MR analyses assessed associations with CAD (CARDIOGRAMplusC4D [Coronary Artery Disease Genome Wide Replication and Meta-Analysis Plus The Coronary Artery Disease Genetics], n=181 522 cases), HF (HERMES [Heart Failure Molecular Epidemiology for Therapeutic Targets), n=115 150 cases), IS (GIGASTROKE, n=62 100 cases), and T2D (DIAMANTE [Diabetes Meta-Analysis of Trans-Ethnic Association Studies], n=80 154 cases) genome-wide consortia. Observational analyses demonstrated J-shaped associations of hemoglobin with CAD, HF, IS, and T2D. In contrast, MR analyses demonstrated linear positive associations of higher genetically predicted hemoglobin levels with 8% higher risk per 1 SD higher hemoglobin for CAD, 10% to 13% for diabetes, but not with IS or HF in UK Biobank. Bidirectional MR analyses confirmed the causal relevance of iron biomarkers for hemoglobin. Further MR analyses in global consortia demonstrated modest protective effects of iron biomarkers for CAD (7%-14% lower risk for 1 SD higher levels of iron biomarkers), adverse effects for T2D, but no associations with IS or HF. Higher levels of iron biomarkers were protective for CAD, had adverse effects on T2D, but had no effects on IS or HF. Randomized trials are now required to assess effects of iron supplements on risk of CAD in high-risk older people.

Single-Index Mixed-Effects Model for Asymmetric Bivariate Clustered Data

Studies/trials assessing status and progression of periodontal disease (PD) usually focus on quantifying the relationship between the clustered (tooth within subjects) bivariate endpoints, such as probed pocket depth (PPD), and clinical attachment level (CAL) with the covariates. Although assumptions of multivariate normality can be invoked for the random terms (random effects and errors) under a linear mixed model (LMM) framework, violations of those assumptions may lead to imprecise inference. Furthermore, the response-covariate relationship may not be linear, as assumed under a LMM fit, and the regression estimates obtained therein do not provide an overall summary of the risk of PD, as obtained from the covariates. Motivated by a PD study on Gullah-speaking African-American Type-2 diabetics, we cast the asymmetric clustered bivariate (PPD and CAL) responses into a non-linear mixed model framework, where both random terms follow the multivariate asymmetric Laplace distribution (ALD). In order to provide a one-number risk summary, the possible non-linearity in the relationship is modeled via a single-index model, powered by polynomial spline approximations for index functions, and the normal mixture expression for ALD. To proceed with a maximum-likelihood inferential setup, we devise an elegant EM-type algorithm. Moreover, the large sample theoretical properties are established under some mild conditions. Simulation studies using synthetic data generated under a variety of scenarios were used to study the finite-sample properties of our estimators, and demonstrate that our proposed model and estimation algorithm can efficiently handle asymmetric, heavy-tailed data, with outliers. Finally, we illustrate our proposed methodology via application to the motivating PD study.

Geographical Distribution and Molecular Characterization of Begomovirus Infecting Soybean [Glycine max (L.) Merr.] in Northern Hills and North Western Plains of India

Background: Yellow mosaic disease (YMD) is one of the most severe and widespread constraint for the cultivation of soybean. Given that no comprehensive data on the status of soybean yellow mosaic disease in Northern Hills and North Western Plains of India is present, a detailed investigation was undertaken for three years to study the prevalence of the disease in the region and to characterize the pathogen. Methods: Towards Kharif end, a three year (2018-2020) farmer field survey (76 villages) was carried out to assess the YMD distribution in the major soybean growing areas Northern Hills and North Western Plains of India. The variability of yellow mosaic virus associated with YMD of soybean was studied based on molecular characterization of partial DNA-A coat protein gene and DNA-B movement protein with subsequent nucleotide sequencing and phylogenetic tree construction. Result: The results revealed that YMD is prevalent in the plains, whereas the disease was undetectable in the Hills. In the plains, the mean disease incidence ranged from 25.40% in 2019 to 16.78% in 2020. Moreover, disease incidence (r = -0.748) had negative and significant (p less than 0.0001) correlation with altitude. The phylogenetic studies revealed that the virus inciting the yellow mosaic in soybean in Tarai region had closest relationship with Mungbean yellow mosaic India virus (MYMIV). It shared more than 96 per cent sequence identity with other MYMIV isolates reported earlier within the country and abroad and hence, was designated as an isolate of MYMIV.

The prevalence of COVID-19 infection, associated risk factors and post-COVID-19 symptoms among vaccinated people, in Anhui Province, China: A cross-sectional study.

To investigate the infection status of coronavirus disease 2019 (COVID-19) among people in Anhui Province, China after the epidemic prevention and control measures were lifted, and to study and analyze its related influencing factors. From March 11 to May 20, 2023, questionnaires on COVID-19 were distributed on the Questionnaire Star platform, and Statistical Product and Service Solutions software (version 19.0) was used for statistical processing. The results showed that the infection rate of COVID-19 among respondents reached 72.24%. 58.81% of the infected people reported post COVID-19 symptoms. Fever, fatigue, and cough were the main symptoms during infection. The results of multi-factor logistic regression analysis showed that there is statistical significance between age (P = .002), residential area (P = .025), number of vaccine injections (P < .001) and the risk of new coronavirus infection. COVID-19 had a high infection rate, and children had a lower risk of COVID-19. People living in cities were more susceptible to COVID-19, and it was necessary to increase the number of vaccine doses.

Associations of plasma proteomics and age-related outcomes with brain age in a diverse cohort

Machine learning models are increasingly being used to estimate “brain age” from neuroimaging data. The gap between chronological age and the estimated brain age gap (BAG) is potentially a measure of accelerated and resilient brain aging. Brain age calculated in this fashion has been shown to be associated with mortality, measures of physical function, health, and disease. Here, we estimate the BAG using a voxel-based elastic net regression approach, and then, we investigate its associations with mortality, cognitive status, and measures of health and disease in participants from Atherosclerosis Risk in Communities (ARIC) study who had a brain MRI at visit 5 of the study. Finally, we used the SOMAscan assay containing 4877 proteins to examine the proteomic associations with the MRI-defined BAG. Among N = 1849 participants (age, 76.4 (SD 5.6)), we found that increased values of BAG were strongly associated with increased mortality and increased severity of the cognitive status. Strong associations with mortality persisted when the analyses were performed in cognitively normal participants. In addition, it was strongly associated with BMI, diabetes, measures of physical function, hypertension, prevalent heart disease, and stroke. Finally, we found 33 proteins associated with BAG after a correction for multiple comparisons. The top proteins with positive associations to brain age were growth/differentiation factor 15 (GDF-15), Sushi, von Willebrand factor type A, EGF, and pentraxin domain-containing protein 1 (SEVP 1), matrilysin (MMP7), ADAMTS-like protein 2 (ADAMTS), and heat shock 70 kDa protein 1B (HSPA1B) while EGF-receptor (EGFR), mast/stem-cell-growth-factor-receptor (KIT), coagulation-factor-VII, and cGMP-dependent-protein-kinase-1 (PRKG1) were negatively associated to brain age. Several of these proteins were previously associated with dementia in ARIC. These results suggest that circulating proteins implicated in biological aging, cellular senescence, angiogenesis, and coagulation are associated with a neuroimaging measure of brain aging.

Total Infectome Characterization of Respiratory Infections during the 2022-23 COVID-19 Outbreak in China Revealed Extensive Coinfections with Links to SARS-CoV-2 Status, Age, and Disease Severity.

Between 7 December 2022 and 28 February 2023, China experienced a new wave of COVID-19 that swept across the entire country and resulted in an increasing amount of respiratory infections and hospitalizations. The purpose of this study is to reveal the intensity and composition of coinfecting microbial agents. In total, 196 inpatients were recruited from The Third People's Hospital of Shenzhen, and 169 respiratory and 73 blood samples were collected for metagenomic next-generation sequencing. The total "Infectome" was characterized and compared across different groups defined by the SARS-CoV-2 detection status, age groups, and severity of disease. Our results revealed a total of 22 species of pathogenic microbes (4 viruses, 13 bacteria, and 5 fungi), and more were discovered in the respiratory tract than in blood. The diversity of the total infectome was highly distinguished between respiratory and blood samples, and it was generally higher in patients that were SARS-CoV-2-positive, older in age, and with more severe disease. At the individual pathogen level, HSV-1 seemed to be the major contributor to these differences observed in the overall comparisons. Collectively, this study reveals the highly complex respiratory infectome and high-intensity coinfection in patients admitted to the hospital during the period of the 2023 COVID-19 pandemic in China.

Turmeric Plant Leaf Oversight, Diagnosis and Recommendation for Control of Diseases by Raspberry Pi 4 and Pi Camera System

In the agriculture industry, disease identification is vital. As a rhizomatous crop, turmeric is widely recognized for its therapeutic use. It is vital to keep an eye on these crops. The most common diseases that affect turmeric leaves are leaf spots, leaf blotch, brown rot, dry rot, and leaf blight. The research creates a hardware system that enables early disease diagnosis and prevention before it affects the entire crop, resulting in high-quality agricultural production. Using k-means image segmentation, a database of various leaf pictures will be generated and handled. Pi camera interfaced with Raspberry Pi 4 hardware will be used to capture images of infected plants and will be used for further processing and analysis. Pesticides or insecticides will be recommended to farmers according to the status of plant disease through the use of friendly communication like WhatsApp or SMS.

Association Between Myocardial Infarction and Triglyceride-Glucose Index: A Study Based on NHANES Database.

To investigate differences in levels of the triglyceride-glucose (TyG) index between individuals with myocardial infarction (MI) and those without MI, as well as the association between TyG index and risk of MI. Data from the National Health and Nutrition Examination Survey (NHANES) for US adults from 2013 to 2018 were included in this study. Using MI as an outcome variable and TyG index as an exposure variable, logistic regression models were employed to analyze relationship between MI and TyG index. The study included 6,695 participants. Compared to the non-MI group, patients with MI had significantly higher TyG index (8.89 vs. 8.63, P = 0.003). Higher TyG index was significantly associated with an increased risk of MI in US adults (OR: 1.69, 95% CI: 1.26-2.26, P < 0.001). Race, smoking status, and history of chronic obstructive pulmonary disease (COPD) had significant impacts on the association between TyG index and risk of MI (P for interaction < 0.05). Subgroup analysis demonstrated a significant positive correlation between TyG index and MI risk in non-Hispanic Black individuals, non-smokers, and individuals without COPD across multiple models (OR > 1.0, P < 0.05). US adults with higher TyG index were more susceptible to MI, and TyG index may be used to identify individuals at high risk of MI in the US population.

The Role of Autologous Hematopoietic Stem Cell Transplantation in the Therapy of Systemic AL Amyloidosis

Aim. To assess the outcomes of autologous hematopoietic stem cell transplantation (auto-HSCT) in systemic AL Amyloidosis patients treated at the R.M. Gorbacheva Scientific Research Institute of Pediatric Oncology, Hematology and Transplantation.&#x0D; Materials &amp; Methods. In the period from 2005 to 2022, auto-HSCT was performed in 33 patients with systemic AL Amyloidosis. In 7 of them, auto-HSCT was not preceded by the induction therapy “upfront”. From 2012 all patients received induction therapy prior to transplantation. The median age of patients was 54 years (range 38–68 years); among them there were 17 women and 16 men.&#x0D; Results. The 3-year follow-up period showed hematological response rate of 76 % (95% confidence interval [95% CI] 50–90 %), heart response rate of 27 % (95% CI 6–55 %), renal response rate of 76 % (95% CI 41–93 %), and hepatic response rate of 26 % (95% CI 8–50 %). The 5-year overall (OS) and progression-free (PFS) survivals were 71 % (95% CI 49–85 %) and 53 % (95% CI 32–71 %), respectively. The OS parameters in the group with delayed auto-HSCT, i.e., after induction therapy, were better than in the “upfront” group: 82 % (95% CI 60–93 %) vs. 43 % (95% CI 10–73 %) (p = 0.03). The OS parameters were affected by health status (p = 0.03), reduced left ventricular ejection fraction &lt; 60 % (p = 0.006), stage of heart disease (p = 0.016), and stage III kidney disease (p = 0.007). The PFS parameters depended on ECOG performance status (p = 0.004) and stage of heart disease (p = 0.041).&#x0D; Conclusion. The presented data confirm the results of the studies emphasizing the importance of induction therapy prior to auto-HSCT in the treatment of systemic AL Amyloidosis. More stringent parameters of renal function, left ventricular ejection fraction, and ECOG performance status can be used as criteria for auto-HSCT eligibility. Reduced melphalan doses, as conditioning regimen, can be administered to patients with pronounced comorbidity.

Analysis of related factors for RA flares after SARS-CoV-2 infection: a retrospective study from patient survey

SARS-CoV-2 and its variants are widely prevalent worldwide. With frequent secondary and breakthrough infections, immune dysfunction in RA patients, and long-term use of immune preparations, SARS-CoV-2 infection poses a significant challenge to patients and rheumatologists. Whether SARS-CoV-2 infection causes RA flares and what factors aggravate RA flares are poorly studied. A questionnaire survey was conducted on RA patients infected with SARS-CoV-2 after December 7, 2022, in China through a multicenter and inter-network platform regarding general personal condition, primary disease, comorbidity, SARS-CoV-2 vaccination, viral infection, and impact on the primary disease. A total of 306 RA patients were included in this study, and the patient data were analyzed, in which the general condition of RA patients, medication use before SARS-CoV-2 infection and post-infection typing and manifestations, and medication adjustment did not affect the Flare of RA patients after SARS-CoV-2 infection. The control of disease before SARS-CoV-2 infection (OR = 2.10), RA involving pulmonary lesions (OR = 2.28), and the recovery time of COVID-19 (OR = 2.50) were risk factors for RA flare. RA involving pulmonary lesions, control status of disease before infection, and recovery time of COVID-19 disease are risk factors for RA flare after SARS-CoV-2 infection.

Continuous improvement of quality of care in pediatric diabetes: the ISPED CARD clinical registry

Abstract Aim In Italy, the ISPED CARD initiative was launched to measure and improve quality of care in children and adolescents with type 1 diabetes. Methods Process and outcome indicators and the related information derived from electronic medical records were identified. A network of pediatric diabetes centers was created on a voluntary basis. Results Overall, 20 centers provided data on 3284 patients aged &lt; = 18 years. HbA1c was monitored ≥ 2/year in 81.2% of the cases. BMI was monitored ≥ 1/year in 99.0%, lipid profile in 45.3%, and blood pressure in 91.7%. Pubertal status, albuminuria, eye examination, and screening of celiac disease and thyroiditis were underreported. From 2017 to 2021, average HbA1c levels decreased from 7.8 ± 1.2 to 7.6 ± 1.3%, while patients with LDL cholesterol &gt; 100 mg/dl increased from 18.9 to 36.7%. Prevalence of patients with elevated blood pressure and BMI/SDS values also increased. In 2021, 44.7% of patients were treated with the newest basal insulins, while use of regular human insulin had dropped to 7.7%. Use of insulin pump remained stable (37.9%). Conclusions This report documents the feasibility of the ISPED CARD initiative and shows lights and shadows in the care provided. Improving care, increasing number of centers, and ameliorating data recording represent future challenges.

Relationship between Mental Disorders, Smoking or Alcoholism and Benign Prostate Disease.

Mental disorders, smoking, or alcoholism and benign prostate disease are highly prevalent in men. To identify the relationship between mental disorders, smoking, or alcoholism and benign prostate disease. A prospective multicenter study that evaluated prostate health status in 558 men from the community. Groups: GP-men who request a prostate health examination and whose medical history includes a mental disorder, smoking, or alcoholism prior to a diagnosis of benign prostate disease; GU-men who request a prostate health examination and whose medical history includes a benign prostate disease prior to a diagnosis of mental disorder, smoking, or alcoholism. age, body mass index (BMI), prostate specific antigen (PSA), follow-up of the mental disorder, smoking or alcoholism, time elapsed between urological diagnosis and the mental disorder, smoking or alcoholism diagnosis, status of the urological disease (cured or not cured), concomitant diseases, surgical history, and concomitant treatments. Descriptive statistics, Student's t-test, Chi2, multivariate analysis. There were no mental disorders, smoking, or alcoholism in 51.97% of men. Anxiety, smoking, major depressive disorder, pathological insomnia, psychosis, and alcoholism were identified in 19.71%, 13.26%, 5.73%, 4.30%, 2.87%, and 2.15% of individuals, respectively. Nonbacterial prostatitis (31.54%), urinary tract infection (other than prostatitis, 24.37%), prostatic intraepithelial neoplasia (13.98%), and prostatodynia (1.43%) were prostate diseases. Unresolved symptomatic benign prostate disease was associated with anxiety, depression, and psychosis (p = 0.002). Smoking was the disorder that men managed to eliminate most frequently. The dominant disorder in patients with symptomatic benign prostatic disease was alcoholism (p = 0.006). Unresolved symptomatic benign prostatic disease is associated with anxiety, depression, and psychosis. Alcoholism is associated with a worse prognosis in the follow-up of symptomatic benign prostatic disease.

Using Performance Status to Identify Risk of Acute Care Transfer in Inpatient Cancer Rehabilitation

ObjectiveTo identify patient factors associated with acute care transfer (ACT) among cancer survivors admitted for inpatient medical rehabilitation. DesignAn exploratory, observational design was used to analyze retrospective data from electronic medical records. SettingData were obtained from 3 separate inpatient rehabilitation hospitals within a private rehabilitation hospital system in the Northeast. ParticipantsMedical records were reviewed and analyzed for a total of 416 patients with a confirmed oncologic diagnosis treated in 1 of the inpatient rehabilitation hospitals between January and December 2020. InterventionsNot applicable. Main Outcome MeasuresThe primary outcome measure was the incidence of an ACT. Covariates included the adapted Karnofsky Performance Scale (KPS) for inpatient rehabilitation, demographic information, admission date, re-admission status, discharge destination, and cancer-related variables, such as primary cancer diagnosis and presence/location of metastases. ResultsOne in 5 patients (21.2%) were transferred to acute care. Patients with hematologic cancer had a higher risk of ACT compared with those with central nervous system (CNS) cancer. Lower functional status, measured by the adapted KPS, was associated with a higher likelihood of ACT. Patients with an admission KPS score indicating the need for maximum assistance had the highest transfer rate (59.1%). ConclusionsThese findings highlight the medical complexity of this population and increased risk of an interrupted rehabilitation stay. Considering patients’ performance status, cancer type, and extent of disease may be important when assessing the appropriateness of IRF admission relative to patient quality of life. Earlier and improved understanding of the patient's prognosis will allow the cancer rehabilitation program to meet the patient's unique needs and facilitate an appropriate discharge to the community in an optimal window of time.

The association between health literacy and e-cigarette use: evidence from Zhejiang, China.

The worldwide popularity of electronic cigarettes (ECIG) is becoming a public health concern. Compared to conventional cigarettes (CIG), the harm caused by ECIG is more insidious. Studies have shown that lower health literacy (HL) is associated with CIG use; however, the relationship between HL and ECIG use remains controversial. Because ECIG emerged more recently than CIG, there are fewer relevant studies, and the sample populations and evaluation methods of HL in existing studies differ. This study conducted a large-sample survey to examine the relationship between HL and ECIG use. As part of the 2022 China Health Literacy Survey, a total of 60,998 valid questionnaires were collected from September to November in 2022 using a stratified multistage probability proportional to the population size sampling frame. Chi-square tests and multinomial logistic regression was used to analyze the relationship between HL and ECIG use. Some demographic variables were included as covariates in the analysis. The study showed that the average HL score and the HL level of Zhejiang residents in 2022 were 42.8 and 30.8%, respectively. The prevalence of CIG and ECIG was 19.7 and 1.0%, respectively; 19% of participants exclusively used CIG, while only 0.3% of participants used ECIG exclusively; dual users accounted for 0.6%. After adjusting for covariates, adequate HL was associated with lower odds of ECIG-exclusive use (odds ratio [OR] = 0.452, p < 0.001), CIG-exclusive use (OR = 0.833, p < 0.001), and dual use (OR = 0.632, p < 0.001). Young age, male sex, unmarried status, high-income status, and absence of chronic disease were also associated with ECIG use. HL was a protective factor against both patterns of ECIG use, especially ECIG-exclusive use. Health policymakers and public health practitioners should consider HL as a potential measure for ECIG control.

Prevalence of Lumpy Skin Disease in Africa: A Systematic Review and Meta-Analysis from 2007 to 2023.

Lumpy skin disease (LSD) is an economically important, transboundary viral disease of cattle caused by LSD virus. This systematic review and meta-analysis are concerned with summarizing the status of lumpy skin disease in Africa. Literature searches between 2007 and 2023 were conducted using different database searches: Google, Google Scholar, PubMed, and Science Direct, and then the required information were extracted. A random effect model was used to pool estimates of prevalence at 95% CI. Publication bias was assessed by applying funnel plots. The pooled estimated prevalence of LSD was 54% (95% CI: -0.09-1.18), with individual study prevalence ranging from 6 to 89%. Subgroup analysis showed that the random pooled prevalence of LSD was 28% (95% CI: -1.48-2.03) in Ethiopia, 37% (95% CI: -3.79-4.52) in Uganda, 88% (95% CI: -0.11-1.28) in Zimbabwe, and 58% (95% CI: -6.96-8.72) in Egypt. No single study was documented from western and northern Africa. The estimated pooled LSD prevalence was investigated as high and indicated nonsignificant variation among study countries. Thus, vaccination of cattle, quarantine, and biting insect control should be applied to control the disease.

Alzheimer's disease: a review on the current trends of the effective diagnosis and therapeutics.

The most prevalent cause of dementia is Alzheimer's disease. Cognitive decline and accelerating memory loss characterize it. Alzheimer's disease advances sequentially, starting with preclinical stages, followed by mild cognitive and/or behavioral impairment, and ultimately leading to Alzheimer's disease dementia. In recent years, healthcare providers have been advised to make an earlier diagnosis of Alzheimer's, prior to individuals developing Alzheimer's disease dementia. Regrettably, the identification of early-stage Alzheimer's disease in clinical settings can be arduous due to the tendency of patients and healthcare providers to disregard symptoms as typical signs of aging. Therefore, accurate and prompt diagnosis of Alzheimer's disease is essential in order to facilitate the development of disease-modifying and secondary preventive therapies prior to the onset of symptoms. There has been a notable shift in the goal of the diagnosis process, transitioning from merely confirming the presence of symptomatic AD to recognizing the illness in its early, asymptomatic phases. Understanding the evolution of disease-modifying therapies and putting effective diagnostic and therapeutic management into practice requires an understanding of this concept. The outcomes of this study will enhance in-depth knowledge of the current status of Alzheimer's disease's diagnosis and treatment, justifying the necessity for the quest for potential novel biomarkers that can contribute to determining the stage of the disease, particularly in its earliest stages. Interestingly, latest clinical trial status on pharmacological agents, the nonpharmacological treatments such as behavior modification, exercise, and cognitive training as well as alternative approach on phytochemicals as neuroprotective agents have been covered in detailed.

INFLUENCE OF COVID-19 AND VACCINATION AGAINST SARS-COV-2 ON THE COURSE OF ONCOHEMATOLOGICAL DISEASES. PART I. GENETIC CHARACTERISTICS OF SARS-COV-2 VARIANTS UPON THE THREE WAVES OF THE PANDEMIC IN UKRAINE

Summary. In Ukraine, COVID-19 was first diagnosed on March 3, 2020 in Chernivtsi. As of April 13, 2024, there are 5,557,995 infected people in Ukraine, of which approximately 2% have died. Currently, COVID-19 has received the status of a seasonal disease, similar to the flu. The largest waves of the epidemic were caused by strains of SRAS-CoV-2 Alpha (first registered in Great Britain), Delta (first registered in India) and Omicron (first registered in South Africa). Currently, the issues of management of oncological patients with COVID-19, the impact of the SARS-CoV-2 virus on the course of the disease, the need for vaccination to prevent COVID-19 against the background of oncological diseases, etc., remain unresolved. Moreover, the risk of fatal consequences in hematological oncology patients increases almost twice in case of concomitant coronavirus infection. It should be noted that today there are no markers (factors) that would allow us to determine clear recommendations for the continuation or postponement of chemotherapy against the background of COVID-19, especially in the presence of oncohematological diseases. Undoubtedly, such studies should be conducted in order to improve the overall survival and quality of life of patients with malignant neoplasms.

Determining factors of presentation and diagnosis delays in patients with colorectal cancer and the impact on stage: a cross sectional study in Yogyakarta, Indonesia.

Early colorectal cancer (CRC) symptom recognition and prompt diagnosis are crucial for the identification of cases in the earliest stage and for improving survival. This study investigates the incidence of presentation and diagnosis delays, their contributing determinants and their impact on the cancer stage at diagnosis. This cross-sectional study recruited 227 CRC patients between November 2022 and October 2023. We developed a semi-structured questionnaire to collect information on the factors related to delays in the presentation and diagnosis. Presentation delay was defined as the time between the initial symptoms and the first consultation exceeding 1 month, while diagnosis delay was defined as the time between presentation and the pathological diagnosis confirmation exceeding 4 months. We examined the impact of these delays on the status of the metastatic disease and identified the determinants of the presentation and diagnosis delays. The median values for presentation and diagnosis delay are 1 and 4 months, respectively. Patients aged ≥60 years were less likely to experience diagnosis delays odds ratio (OR = 0.52, 95% confidence interval (CI) 0.28-0.95, p = 0.035), as opposed to those who were younger. The absence of red flag symptoms at presentation (OR = 2.73, 95% CI 1.47-5.10, p = 0.002), the utilisation of complementary and alternative medicine (OR = 2.01, 95% CI 1.12-3.61, p = 0.019) and ≥3 distinct healthcare facility visits before diagnosis (OR = 3.51, 95% CI 1.95-6.29, p < 0.001) were associated with an increased risk of diagnosis delays. Diagnosis delays were also correlated with a higher risk of metastatic disease at diagnosis (OR = 2.04, 95% CI 1.17-3.53, p = 0.011). Our CRC patients experience considerable delays in their presentation and diagnosis. Diagnosis delays were observed to increase the likelihood of presenting with metastatic disease. Given the determinants and the patients' perspectives revealed in this study, future research to explore evidence-based approaches to reducing these delays is warranted.