scholarly journals How much do the physician review and InterVA model agree in determining causes of death? a comparative analysis of deaths in rural Ethiopia

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Berhe Weldearegawi ◽  
Yohannes Adama Melaku ◽  
Geert Jan Dinant ◽  
Mark Spigt
2020 ◽  
Vol 19 (6) ◽  
pp. 117-123
Author(s):  
T.E. Belokrinitskaya ◽  
◽  
N.V. Artymuk ◽  
O.S. Filippov ◽  
E.M. Shifman ◽  
...  

Objective. To perform comparative analysis of parameters and structure of maternal mortality (MM) in the Far Eastern Federal District (FEFD) and Siberian Federal District (SFD) in 2014–2019. Materials and methods. The database for analysis was generated using map-based emergency notifications of maternal deaths (69 in FEFD and 180 in SFD). We used methods of descriptive statistics, Pearson's χ2-test, and calculated odds ratios (ORs) with 95% confidence intervals (95% CIs). Results. Between 2014 and 2018, the dynamics of MM in the FEFD and SFD had a one-way trend: it decreased in 2014–2017, but dramatically increased in 2018 primarily due to social factors. In 2019, we observed a significant growth of MM in the FEFD, while the SFD demonstrated a reduction of MM. The most common cause of maternal death in both districts was extragenital diseases. However, there were some differences in the structure of obstetric causes: in FEFD, preeclampsia and obstetric hemorrhage were the most frequent obstetric causes of death, while in SFD, women primarily developed embolism and placental abruption. Conclusion. The dynamics and structure of MM in the FEFD and SFD require management decisions aimed at improving medical care with the consideration of clinical guidelines, organization of continuous audit, systematic development of practical teamwork skills both in simulation training centers and healthcare institutions. Key words: Far Eastern Federal District, maternal mortality, Siberian Federal District


2021 ◽  
pp. 60-79
Author(s):  
N. O. RYNGACH ◽  
P. E. SHEVCHUK

Large cities concentrate a substantial part of the educated, highly qualified, and economically active populations. Such social “selection” with the peculiarities of lifestyle determines the distinctive characteristics of the level and structure of mortality. Even though data on deaths by causes of death for the large cities are available in Ukraine, very few studies have analyzed cause-specific mortality in these cities. The objective of the study is to make a comparative analysis of mortality from the most influential causes of death in large cities. The novelty lies in the comparative analysis done for Dnipro, Kyiv, Lviv, Odesa, and Kharkiv for the first time. The study uses the direct method of standardization to calculate standardized death rates by sex in 2005-2019. The results indicate lower all-cause mortality rates for the large city residents compared to the corresponding average country-level indicators. Kyiv, Lviv, and Odesa have lower death rates compared to Dnipro and Kharkiv. In Kyiv and Lviv, this is attributed to lower mortality from almost all major causes of death, while in Odesa this mainly resulted from the extremely low ischemic heart disease mortality. Relatively high mortality from circulatory diseases is observed in Kharkiv and Dnipro. However, in Dnipro, this is associated with a high death rate from coronary heart disease and a very low contribution of cerebrovascular disease, whereas in Kharkiv coronary and cerebrovascular disease death rates are quite high. Mortality rates from diseases of the digestive system in the large cities are found to be the closest to the average in Ukraine (except for Lviv). The neoplasms are the only large group of diseases with a mortality rate that exceeds the average level in Ukraine, in particular for women. Overall, the death rates from most of the causes of death in the large cities demonstrated a positive trend in 2005-2019, with some exceptions. External causes and infectious diseases showed the most decrease while mortality from AIDS and ill-defined causes increased. Also, there were uncertain dynamics of deaths due to suicide and injuries with undetermined intent. Given some specific mortality differences between the cities, some concerns have been raised over the accuracy of the coding of diagnoses. In particular, unusually low mortality from ischemic heart disease was found in Odesa and from cerebrovascular disease in Dnipro, very rare deaths from alcoholic liver disease in Odesa, accidental alcohol poisoning in Kyiv, and a group of other liver diseases in Dnipro. We also assume misclassification of suicides as injuries with undetermined intent in Kharkiv. Our findings highlight the importance of the implementation of automated coding and selection of causes of death that can minimize the number of subjective decisions made by coders and lead to significant improvements in the quality of data.


2017 ◽  
Vol 63 (5) ◽  
pp. 714-718
Author(s):  
Yuriy Pigolkin ◽  
Marina Shilova ◽  
Svyatoslav Zakharov ◽  
Irina Globa ◽  
Ye. Boev

This article contains a comparative analysis of epidemiology of sudden death from cancer in Moscow and the Krasnodar Region. There was showed the structure of mortality over 10 years for these regions, causes of death, tumor grades and localization, histological forms, presence of complications, age and sex patterns.


Author(s):  
T. E. Piktushanskaya

The author analyzed the causes of death of 8082 coal miners who were diagnosed with occupational disease in Rostov Occupational pathology center and died between 1990 and 2015. A comparative analysis of the structure of miners’ causes of death and the structure of causes of death of adult male population of Rostov region for the same calendar period was carried out.


2020 ◽  
Author(s):  
Antonio C. C. Guimarães ◽  
Karla Santa Cruz Coelho ◽  
Kathleen Tereza da Cruz ◽  
Bárbara Soares de Oliveira Souza ◽  
Janimayri Forastieri de Almeida ◽  
...  

Objective: To analyze quantitatively and comparatively the deaths by COVID-19 of the four largest municipalities in the North of Rio de Janeiro and Baixada Litorânea of Rio de Janeiro, within the national context. Methods: We used data from the Civil Registry and demographic information to elaborate a general picture of the pandemic up to the 31st epidemiological week in several aspects: evolution, scope, age, sex, race and impact on other causes of death. Results: We characterized the evolution of the pandemic. We found an exponential dependence on the mortality rate by age and a higher lethality in the male population. We determined that COVID-19 represents an important fraction of the causes of death in 2020, being associated with a significant excess of deaths in relation to 2019 and also with the change in mortality patterns due to other causes. Conclusion: Mortality is an effective and powerful indicator for understanding the infection and its pandemic, and it must be taken into account during the construction of public policies to deal with it.


2019 ◽  
pp. 38-44
Author(s):  
L. V. Iakovlieva ◽  
T. O. Bahlai ◽  
O. V. KHOMENKO

Today community-acquired pneumonia remains one of the leading causes of death as a result of infectious diseases. For effective treatment must be guided by such guidelines which would take into account not only recent world experience in the field of antimicrobial therapy but also regional peculiarities of the microbial spectrum and the resistance to pathogens of this nosology. The aim of the work was to conduct a comparative analysis of antimicrobial drugs recommended for the treatment for patients with community-acquired pneumonia. The assortment of major antimicrobial drugs was studied according to the «Pharmstandard» system of the «Morion» company. Also, the research used data of medical and technological documentation of Ukraine, Great Britain, USA. Current the Unified Protocol for the provision of medical care to adult patients with community-acquired pneumonia and the State Medicines Directive offer almost identical antimicrobial drugs and differ only in those that do not have a proof-based basis. Leading international sources recommend a smaller number of drugs whose trade names are sufficient in the domestic market, and pharmacological properties suggest a rational pharmacotherapy of patients with community-acquired pneumonia when using them. Medical and technological documents offer for pharmacotherapy of patients with community-acquired pneumonia more than 20 preparations with more than 500 product names mainly present on the domestic market; in foreign directions a number of drugs (cefaclor, flucloxacillin, temocylin, piperacillin, colistin) are recommended, which are not in the domestic documentation, whose pharmacological properties and price range are rational to have for treatment of patients with community-acquired pneumonia.


2021 ◽  
Vol 28 ◽  
Author(s):  
Phasit Charoenkwan ◽  
Wararat Chiangjong ◽  
Md. Mehedi Hasan ◽  
Chanin Nantasenamat ◽  
Watshara Shoombuatong

: Cancer is one of the leading causes of death worldwide and underlying this is angiogenesis that represents one of the hallmarks of cancer. Ongoing effort is already under way in the discovery of anti-angiogenic peptides (AAPs) as a promising therapeutic route by tackling the formation of new blood vessels. As such, the identification of AAPs constitutes a viable path for understanding their mechanistic properties pertinent for the discovery of new anti-cancer drugs. In spite of the abundance of peptide sequences in public databases, experimental efforts in the identification of anti-angiogenic peptides have progressed very slowly owing to its high expenditures and laborious nature. Owing to its inherent ability to make sense of large volumes of data, machine learning (ML) represents a lucrative technique that can be harnessed for peptide-based drug discovery. In this review, we conducted a comprehensive and comparative analysis of ML-based AAP predictors in terms of their employed feature descriptors, ML algorithms, cross-validation methods and prediction performance. Moreover, the common framework of these AAP predictors and their inherent weaknesses are also discussed. Particularly, we explore future perspectives for improving the prediction accuracy and model interpretability, which represents an interesting avenue for overcoming some of the inherent weaknesses of existing AAP predictors. We anticipate that this review would assist researchers in the rapid screening and identification of promising AAPs for clinical use.


2014 ◽  
Vol 7 (1) ◽  
pp. 25550 ◽  
Author(s):  
Berhe Weldearegawi ◽  
Yohannes Adama Melaku ◽  
Mark Spigt ◽  
Geert Jan Dinant

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