Features of the Development of a Mobile Application for Cardiac Patients.

Background: An important global public health problem in many economically developed countries, in particular in Kazakhstan, is the leading cause of morbidity and mortality from cardiovascular disease (CVD), both in urban and rural areas. Objective: This study aims to develop the design of a mobile application for smartphones for cardiac patients, taking into account the specifics of outpatient care. Methods: This methodological study includes identified educational and prevention content for CVD patients to develop an education and monitoring tool using a smartphone app. The application was developed according to the stages of analysis, design, development, implementation and evaluation, which is a systematic training model of design. The levels of satisfaction with the developed application for smartphones among 65 outpatients with CVD were assessed using a questionnaire during their visit to a medical organization. Results: The «My Heart¼ smartphone app was developed based on a review of the literature related to educating patients with CVD, consulting specialists, monitoring and searching for medical smartphone applications that are already available. The content of education and registration includes three main sections, containing basic questions on registration and monitoring of the condition, materials on education and prevention of CVD, such as a daily questionnaire and nutritional advice. After modification based on expert feedback, the application was finally developed and evaluated by patients who reported being satisfied with the usefulness of the application. Conclusions: This application is developed as a research tool to further conduct a study in CVD patients. Current evaluation was a pilot testing wherein this application showed promising results.

Ability of Procalcitonin and C-Reactive Protein for Discriminating between Bacterial and Enteroviral Meningitis in Children Using Decision Tree.

Bacterial meningitis (BM) is a public health burden in developing countries, including Central Asia. This disease is characterized by a high mortality rate and serious neurological complications. Delay with the start of adequate therapy is associated with an increase in mortality for patients with acute bacterial meningitis. Cerebrospinal fluid culture, as a gold standard in bacterial meningitis diagnosis, is time-consuming with modest sensitivity, and this is unsuitable for timely decision-making. It has been shown that bacterial meningitis differentiation from viral meningitis could be done through different parameters such as clinical signs and symptoms, laboratory values, such as PCR, including blood and cerebrospinal fluid (CSF) analysis. In this study, we proposed the method for distinguishing the bacterial form of meningitis from enteroviral one. The method is based on the machine learning process deriving making decision rules. The proposed fast-and-frugal trees (FFTree) decision tree approach showed an ability to determine procalcitonin and C-reactive protein (CRP) with cut-off values for distinguishing between bacterial and enteroviral meningitis (EVM) in children. Such a method demonstrated 100% sensitivity, 96% specificity, and 98% accuracy in the differentiation of all cases of bacterial meningitis in this study. These findings and proposed method may be useful for clinicians to facilitate the decision-making process and optimize the diagnostics of meningitis.

New Trends of Cervical Cancer Incidence in Kazakhstan.

OBJECTIVE: The epidemiological features of the cervical cancer (CC) incidence and its spatial and temporal assessment in Kazakhstan were studied. METHODS: The retrospective study was done for the period 2009-2018. Descriptive and analytical methods of oncoepidemiology were used. RESULTS: During the study period, 16,441 new cases of CC were registered. The average annual crude and age-standardized incidence rate were 18.6±0.5 and 17.7±0.4 cases per 100,000 population of female, respectively, and their trends tended to increase (Тup=+2.3%; R2=0.708 and Тup=+1.9%; R2=0.615, respectively). The analysis of ASIR showed unimodal growth with a peak at 50-54 years - 45.3±1.1 cases per 100,000 population of female. Trends of ASIR decreased up to 30 years (Tdown=-1.8%; R2=0.111) and 35-59 years (Tdown=-0.9%; R2=0.103), in other age groups the trends increased, and were most pronounced in 40-44 (Тup=+4.1%; R2=0.878) and 65-69 years (Тup=+4.4%; R2=0.537). Trends in ASR of СС tended to grow in almost all regions, with higher levels in Mangystau (Тup=+4.1%; R2=0.482) and Aktobe (Тup=+6.3%; R2=0.846) regions. The cartograms of ASR per 100,000 population of female were allocated according to the following criteria: low - up to 16.3, average - from 16.3 to 19.2, high - above 19.2. The results of the spatial analysis showed the regions with a higher levels of CC incidence rate per 100,000 population of female: East Kazakhstan (19.8), Aktobe (20.0), Almaty (20.1), Kostanay region (20.9), Atyrau (21.7) regions and Almaty city (22.0). CONCLUSION: The study of trends of the cervical cancer incidence has the theoretical and practical value:  monitoring and evaluation of screening programmes, which are implemented in the country, and conduction of secondary prevention of cervical pathology. Health authorities should consider the obtained results in the in the organization of anti-cancer activities.

The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.

BACKGROUND: The implementation of medical digital technologies can provide better accessibility and flexibility of healthcare for the public. It encompasses the availability of open information on the health, treatment, complications, and recent progress on biomedical research. At present, even in low-income countries, diagnostic and medical services are becoming more accessible and available. However, many issues related to digital health technologies remain unmet, including the reliability, safety, testing, and ethical aspects. PURPOSE: The aim of the review is to discuss and analyze the recent progress on the application of big data, artificial intelligence, telemedicine, block-chain platforms, smart devices in healthcare, and medical education. Basic Design. The publication search was carried out using Google Scholar, PubMed, Web of Sciences, Medline, Wiley Online Library, and CrossRef databases. The review highlights the applications of artificial intelligence, "big data," telemedicine and block-chain technologies, and smart devices (internet of things) for solving the real problems in healthcare and medical education. Major Findings. We identified 252 papers related to the digital health area. However, the number of papers discussed in the review was limited to 152 due to the exclusion criteria. The literature search demonstrated that digital health technologies became highly sought due to recent pandemics, including COVID-19. The disastrous dissemination of COVID-19 through all continents triggered the need for fast and effective solutions to localize, manage, and treat the viral infection. In this regard, the use of telemedicine and other e-health technologies might help to lessen the pressure on healthcare systems. Summary. Digital platforms can help optimize diagnosis, consulting, and treatment of patients. However, due to the lack of official regulations and recommendations, the stakeholders, including private and governmental organizations, are facing the problem with adequate validation and approbation of novel digital health technologies. In this regard, proper scientific research is required before a digital product is deployed for the healthcare sector.

Polyphenols as Caloric-Restriction Mimetics and Autophagy Inducers in Aging Research.

It has been thought that caloric restriction favors longevity and healthy aging where autophagy plays a vital role. However, autophagy decreases during aging and that can lead to the development of aging-associated diseases such as cancer, diabetes, neurodegeneration, etc. It was shown that autophagy can be induced by mechanical or chemical stress. In this regard, various pharmacological compounds were proposed, including natural polyphenols. Apart from the ability to induce autophagy, polyphenols, such as resveratrol, are capable of modulating the expression of pro- and anti-apoptotic factors, neutralizing free radical species, affecting mitochondrial functions, chelating redox-active transition metal ions, and preventing protein aggregation. Moreover, polyphenols have advantages compared to chemical inducers of autophagy due to their intrinsic natural bio-compatibility and safety. In this context, polyphenols can be considered as a potential therapeutic tool for healthy aging either as a part of a diet or as separate compounds (supplements). This review discusses the epigenetic aspect and the underlying molecular mechanism of polyphenols as an anti-aging remedy. In addition, the recent advances of studies on NAD-dependent deacetylase sirtuin-1 (SIRT1) regulation of autophagy, the role of senescence-associated secretory phenotype (SASP) in cells senescence and their regulation by polyphenols have been highlighted as well. Apart from that, the review also revised the latest information on how polyphenols can help to improve mitochondrial function and modulate apoptosis (programmed cell death).

Breast Cancer in Megapolises of Kazakhstan: Epidemiological Assessment of Incidence and Mortality.

BACKGROUND: Breast cancer is the most common malignant disease among the female population of Kazakhstan like in many developed countries of the world (Canada, UK, US, Western Europe), and it accounts for every 5th tumor. We aimed to assess the epidemiological aspects of breast cancer incidence and mortality among Almaty and Astana (Now Nur-Sultan), Kazakhstan residents in 2009-2018. METHODS: A retrospective study using modern descriptive and analytical methods of epidemiology was conducted to evaluate the breast cancer incidence and mortality in megapolises of Kazakhstan. RESULTS: The average annual age-standardized incidence rate of breast cancer amounted to 61.9 0 0000 (95% CI=56.2-67.6) in Almaty and 61.2 0 0000 (95% CI=56.765.7) in Astana. The average age-standardized mortality was 19.2 0 0000 (95% CI=17.3-21.1) in Almaty and 19.3 0 0000 (95% CI=17.1-21.4) in Astana. The standardized incidence in the megapolises tended to increase (Tgr=+0.8% in Almaty and Tgr=+1.4% in Astana), while the mortality was decreasing (Tdec=-4.2% in Almaty and Tdec=-1.1% in Astana). According to the component analysis, the growth in the number of breast cancer cases was due to a population increase (ΔP=+130.4% in Almaty and ΔP=+93.2% in Astana), with a notable decrease of factors related to the risk of getting sick (ΔR=-27.9% in Almaty, ΔR=-6.1% in Astana). CONCLUSION: This is the first epidemiological study to assess the changes in incidence and mortality from breast cancer in megapolises of Kazakhstan because of screening. The results of this study can be used to improve the government program to combat breast cancer.