scholarly journals A Statistical Analysis of Forensic Autopsies Performed in the Jungbu Province of Korea in 2020

2021 ◽  
Vol 45 (4) ◽  
pp. 111-121
Author(s):  
Jeong Hwan Kim ◽  
Dayoung Kim ◽  
Taegong Kim ◽  
Jongin Na ◽  
Min Jee Park ◽  
...  
Keyword(s):  
Time Series ◽  
Heart Disease ◽  
Statistical Analysis ◽  
South Korea ◽  
Vascular Disease ◽  
Cause Of Death ◽  
Public Safety ◽  
Manner Of Death ◽  
Forensic Service ◽  
Cause Of Deaths

We analyzed the manner and cause of death in 945 forensic autopsies from the Jungbu province (Central part of South Korea) conducted by the National Forensic Service Daejeon institute in 2020. Analysis of the manner of death revealed that 43.6% (412/945 cases) were natural deaths, 41.6% (393/945 cases) were unnatural deaths, and 14.8% (140/945 cases) deaths were unknown. Among the unnatural deaths, the major manner of death (40.7%, 160/393 cases) were by accidents, 29.5% (116/393 cases) were by suicide, 21.6% (85/393 cases) were undetermined, and 8.1% (32/393 cases) were by homicide. Among the unnatural deaths, the major cause of death (42.7%, 168/393 cases) were by trauma, 19.3% (76/393 cases) were by poisoning, and 16.5% (65/393 cases) were by asphyxia. Falling was the major cause of death by trauma (42.9%, 72/168 cases) and strangulation was the major cause of death by asphyxia (72.3%, 47/65 cases). Among natural deaths, heart disease was the major cause (43.7%, 180/412 cases), followed by vascular disease (18.9%, 78/412 cases). This study is the first statistical analysis of the manner and cause of deaths in the Jungbu province. A time-series statistical analysis of the manner and cause of deaths in this province might allow more advanced interpretations about both public safety and healthcare in the future.

scholarly journals Analysis of all Forensic Autopies at Sheikh Zaid Hospital from 2016 to 2020: A Retroscpective Study

2021 ◽  
Vol 15 (6) ◽  
pp. 1959-1962
Author(s):  
Fariha Tariq ◽  
Sumaira Sarwar ◽  
Khalid Mukhtar ◽  
Summyia Sadia ◽  
Shahid Nadeem ◽  
...  
Keyword(s):  
Cause Of Death ◽  
Tertiary Care ◽  
Analysis Data ◽  
Special Focus ◽  
Care Hospital ◽  
Manner Of Death ◽  
Young Males ◽  
Cause Of Deaths ◽  
Illegal Activities ◽  
And Gender

Autopsy can lead to the cause of death most accurately in both natural as well as unnatural deaths. Purpose: To determine the pattern of deaths seen on autopsy in a tertiary care hospital and to determine the cause of deaths and manners of deaths with special focus of homicidal cases, seen on autopsies in the past few years. Study Design: Retrospective study. Methodology: Patients (n=186) were enrolled in present study held at Forensic department, Sheikh Zaid Hospital, Lahore-Pakistan. Data of 186 autopsy cases of 5 years from 2016 to 2020 was entered and analyzed. All the forensic autopsies done at the forensic department, irrespective of the age and gender were included in the study. Statistical analysis: Data analyzed by SPSS 22.0v. Results: Most of the patients were of age group 20 to 30 years. Males were 67% while females were 20% in present study. Among these 186 cases of autopsy, manner of death was homicidal in 43% (n=80) autopsies, accidental in 10% (n=19) and suicidal deaths was in 1.6% (n=3) while in 34% (n=64) autopsy cases cause of death cannot be determined. Conclusion: This study concluded that the cause of death couldn’t be determined in around 1/3rd autopsies; showing that steps should be taken to improve performance of forensic departments. As young males are mostly involved in criminal acts, illegal activities should be controlled with education and law enforcement. Key Words: Autopsy, Audit, Manner of Death and Cause of Death.

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

Pulmonary Embolism as a Cause of Death in Patients With Heart Disease

CHEST Journal ◽  
2006 ◽  
Vol 129 (5) ◽  
pp. 1282-1287 ◽  
Author(s):  
Tomás Pulido ◽  
Alberto Aranda ◽  
Marco Antonio Zevallos ◽  
Edgar Bautista ◽  
Maria Luisa Martínez-Guerra ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Heart Disease ◽  
Cause Of Death

Abstract P276: Differential Association of D-dimer with Stroke and Coronary Heart Disease: The REasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Neil A Zakai ◽  
George Howard ◽  
Leslie A McClure ◽  
Suzanne E Judd ◽  
Brett M Kissela ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Vascular Disease ◽  
Racial Differences ◽  
Statistical Significance ◽  
Female Gender ◽  
Cox Models ◽  
The Difference ◽  
Chd Risk Factors ◽  
D Dimer

Introduction: D-dimer, a marker of coagulation activation, has higher levels in blacks than whites and has been variably associated with stroke and coronary heart disease (CHD). Methods: REGARDS recruited 30,239 participants in their homes across the continental US between 2003-07; by design 55% were female, 41% black, and 56% lived in the southeast. In a case-cohort study, D-dimer was measured in 646 participants with incident stroke, 515 with incident CHD, and 1104 in a cohort random sample. D-dimer was log transformed and modeled per 1-unit increase. Cox models were used to determine the HR for vascular disease for D-dimer and the difference in HR (95% CI) by race and vascular disease calculated by bootstrapping with 1000 replicate samples and using the 2.5 and 97.5 percentiles of the distribution (see Table for model variables). Results: Median D-dimer was higher in blacks (0.45 mcg/mL; IQR 0.26, 0.85) than whites (0.38 mcg/mL; IQR 0.23, 0.69); p <0.001. D-dimer was higher with increasing age, female gender, diabetes, hypertension and prebaseline cardiovascular disease (all p <0.05). The table shows the HR of stroke and CHD by baseline D-dimer. In minimally-adjusted models, D-dimer was associated with both stroke and CHD. Accounting for Framingham stroke and CHD risk factors, D-dimer remained associated with CHD (HR 1.45; 95% CI 1.18, 1.79), but was marginally associated with stroke (HR 1.20; 95% CI 0.99, 1.45). The difference in the HR of D-dimer between CHD and stroke was 0.22 in the basic model and 0.25 in the Framingham model, but this difference was of marginal statistical significance (Table). There was no difference in the HRs for stroke or CHD for D-dimer in blacks compared to whites (Table). Discussion: The association of D-dimer with stroke appeared smaller than for CHD with similar associations by race. Findings suggest that hemostasis activation may play a greater role in pathogenesis of CHD than stroke. Further study is needed to confirm these findings and evaluate the association of D-dimer with different stroke subtypes.

Changes in mortality by cause of death in Polish voivodships

2015 ◽  
Vol 60 (11) ◽  
pp. 30-53
Author(s):  
Wiktoria Wróblewska
Keyword(s):  
Heart Disease ◽  
Life Expectancy ◽  
Ischemic Heart Disease ◽  
Cause Of Death ◽  
Regional Level ◽  
Age Group ◽  
Decomposition Technique ◽  
Avoidable Mortality ◽  
Mortality Causes ◽  
Causes Of Deaths

This study analyses the avoidable mortality in Poland at the regional level of 16 voivodships over the last two decades, 1991–2010. The author divided the mortality causes into three groups: treatable disease, preventable diseases and ischemic heart disease. We used a decomposition technique to calculate the contribution of changes in mortality from these conditions to changes in life expectancy between birth and age 75 for the two periods 1991–2000 and 2000–2010 by sex and age group. The analyses were based on temporary life expectancy between birth and age 75 (e0–75). Chiang’s method was used for constructing abridged life tables, and Arriaga’s method was used for decomposition. The results revealed differences in the temporary life expectancy level and pace of change between voivodships, causes of deaths and sex.

scholarly journals Sudden cardiac death rates in an Australian population: a data linkage study

2015 ◽  
Vol 39 (5) ◽  
pp. 561 ◽  
Author(s):  
Jia-Li Feng ◽  
Siobhan Hickling ◽  
Lee Nedkoff ◽  
Matthew Knuiman ◽  
Christopher Semsarian ◽  
...  
Keyword(s):  
Public Health ◽  
Cardiovascular Disease ◽  
Heart Disease ◽  
Sudden Cardiac Death ◽  
Cause Of Death ◽  
Cardiac Death ◽  
Linkage Study ◽  
Mortality Data ◽  
Prevention Measures ◽  
Hospital Morbidity

Objective The aim of the present study was to develop criteria to identify sudden cardiac death (SCD) and estimate population rates of SCD using administrative mortality and hospital morbidity records in Western Australia. Methods Four criteria were developed using place, death within 24 h, principal and secondary diagnoses, underlying and associated cause of death, and/or occurrence of a post mortem to identify SCD. Average crude, age-standardised and age-specific rates of SCD were estimated using population person-linked administrative data. Results In all, 9567 probable SCDs were identified between 1997 and 2010, with one-third aged ≥35 years having no prior admission for cardiovascular disease. SCD was more frequent in men (62.1%). The estimated average annual crude SCD rate for the period was 34.6 per 100 000 person-years with an average annual age-standardised rate of 37.8 per 100 000 person-years. Age-specific standardised rates were 1.1 per 100 000 person-years and 70.7 per 100 000 person-years in people aged 1–34 and ≥35 years, respectively. Ischaemic heart disease (IHD) was recorded as the underlying cause of death in approximately 80% of patients aged ≥35 years, followed by valvular heart disease and heart failure. IHD was the most common cause of death in those aged 1–34 years, followed by unspecified cardiomyopathy and dysrhythmias. Conclusions Administrative morbidity and mortality data can be used to estimate rates of SCD and therefore provide a suitable methodology for monitoring SCD over time. The findings highlight the magnitude of SCD and its potential for public health prevention. What is known about the topic? There is considerable variability in rates of SCD worldwide. Different data sources and varied methods of case ascertainment likely contribute to this variation. What does this paper add? The rate of SCD in Australia is low compared with international estimates from USA, Ireland, Netherlands and China. Two in every three cases of SCD aged ≥35 years had a hospitalisation history of cardiovascular disease, highlighting the opportunity for prevention. What are the implications for practitioners? High-quality person-linked administrative hospital morbidity and registered mortality data can be used to estimate rates of SCD in the population. Understanding the magnitude and distribution of SCD is imperative for developing effective public health policy and prevention measures.

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