Abstract P57: Atmospheric Conditions Predict an Occurrence of Out-of-Hospital Cardiac Arrests: A 9-year Population-based Utstein-style survey in Osaka

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Kayo Tanigawa ◽  
Taku Iwami ◽  
Chika Nishiyama ◽  
Tetsuhisa Kitamura ◽  
Masahiko Ando ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Atmospheric Pressure ◽  
Event Rate ◽  
Meteorological Data ◽  
Circadian Variation ◽  
Weather Conditions ◽  
Population Based ◽  
Japan Meteorological Agency ◽  
Atmospheric Conditions ◽  
Utstein Style

Introduction: Although an association between low temperatures and an increase in sudden cardiac arrest occurrence is reported, it is unclear other weather conditions including atmospheric pressure influence the occurrence of out-of-hospital cardiac arrest (OHCA). Methods: Design Population-based cohort study. Participants We enrolled all OHCA of presumed cardiac etiology in adults (>17 years old) treated by emergency medical service (EMS) in Osaka Prefecture (population, 8.8 million), Japan from May 1 st 1998 through December 31 st 2006. Data collection and analyses Patients’ data were prospectively collected by EMS personnel using an Utstein-style database. Meteorological data including mean and circadian variation of temperature and atmospheric pressure were collected from the database of Japan Meteorological Agency. We stratified temperature data to tertile categories and atmospheric pressure to quintile, and an association between a daily event rate of OHCA and weather conditions was analyzed. Results: There were 25,026 OHCA patients of presumed cardiac etiology during the period. Daily OHCA incidence increased with a decreasing of temperature. The higher atmospheric pressure was also associated with the increased daily event rate of OHCA on the days with middle temperature (12.0 –21.9 °C) (Pearson’s correlation coefficient, 0.02; p<0.05, Figure ). Conclusions: Data from a large-scaled population-based cohort suggests that atmospheric conditions including atmospheric pressure influence the occurrence of OHCA. FIGURE. Cardiac arrest daily event rates by atmospheric condidtion

scholarly journals Meteorology in field artillery ballistic calculations

2021 ◽  
Vol 2090 (1) ◽  
pp. 012149
Author(s):  
M Mendel
Keyword(s):  
Atmospheric Pressure ◽  
Open Space ◽  
Meteorological Parameters ◽  
Meteorological Data ◽  
Armed Forces ◽  
Weather Conditions ◽  
Atmospheric Conditions ◽  
Area Of Interest ◽  
Single Probe ◽  
Atmospheric Data

Abstract The most important meteorological data are:ambient temperature, precipitation quantity, air humidity, amount and type of clouds, atmospheric pressure, wind direction and speed, visibility, weather phenomena. These coefficients impact the effectiveness of various combat activities, especially those conducted in an open space. Knowledge of future weather conditions is essential for planning the location, calculating times, choice of means, and other aspects relevant to the upcoming operations. Taking weather conditions into account is vital, specifically when it comes to planning combat operations, where the accuracy in cooperation is of paramount importance. Rocket forces and artillery is a particular type of armed forces where weather conditions are critical. The effectiveness of artillery depends on ballistic calculation precision, and so knowledge of atmospheric conditions is fundamental. Atmospheric data are collected from sounding using a single probe attached to a balloon. It is generally known that particular meteorological parameters change in a smooth spatial manner depending on various coefficients. Information about the atmosphere collected by a single probe may be insufficient, due to the possibility of a balloon drifting away from the area of interest, and the calculations are based on data received from its probe. In this paper, I will suggest a method for preparing artillery use meteorologically, which takes into account the distribution of particular meteorological coefficients over a given area.

scholarly journals Relationship of Humidity and Atmospheric Pressure With the Risk of Out-of-hospital Cardiac Arrest

2020 ◽  
Vol 30 (4) ◽  
pp. 224-232
Author(s):  
Yasaman Borghei ◽  
Mohammad Taghi Moghadamnia ◽  
Abdolhossein Emami Sigaroudi ◽  
Ehsan Kazemnezhad Leili
Keyword(s):  
Climate Change ◽  
Cardiac Arrest ◽  
Cardiopulmonary Resuscitation ◽  
Atmospheric Pressure ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Early Warning Systems ◽  
Increased Risk ◽  
Medical Care Team ◽  
Hospital Cardiac Arrest

Introduction: Climate change, which affects human health, is one of the most important public health concerns. Few studies have examined the effects of humidity and atmospheric pressure as risk factors on the cardiac system and Out-of-hospital Cardiac Arrest. Objective: This study aimed to determine the relationship between climatic variables (humidity and atmospheric pressure) with Out-of-hospital Cardiac Arrest , and its outcome over 3 years (2016-2018). Materials and Methods: This is an ecological time-series study. Participants were 392 patients with Out-of-hospital Cardiac Arrest referred to Hospital in Rasht City, Iran from 2016 to 2018. Meteorological data and information related to Out-of-hospital Cardiac Arrest and its consequences were collected from reliable resources and were analyzed in R software. Results: Low humidity increased the relative risk of Out-of-hospital Cardiac Arrest (OR=1.54, 95%CI: 1.001-2.69, P=0.001) and failed cardiopulmonary resuscitation (OR=1.76, 95% CI; 1.006-3.79, P=0.001). Higher atmospheric pressure was associated with increased risk of Out-of-hospital Cardiac Arrest (OR=1.16, 95%CI; 1.001-1.78, P=0.001) and unsuccessful cardiopulmonary resuscitation (OR=1.039, 95% CI; 1.005-1.91, P=0.001). Conclusion: Decreased humidity and increased atmospheric pressure are associated with an increased number of Out-of-hospital Cardiac Arrest cases and failure of cardiopulmonary resuscitation. Informing people with cardiovascular disease to avoid such weather conditions, as well as preparing the medical care team and designing early warning systems, can reduce the adverse effects of climate change on the heart.

Lymphedema as a Meteoropathic Disease Based on a Retrospective Study in a Single Institute: a Preliminary Report

2022 ◽  
Author(s):  
Motomu Suzuki ◽  
Koukichi Koukichi ◽  
Taro Mikami ◽  
Yuichiro Yabuki ◽  
Saori Asano ◽  
...  
Keyword(s):  
Atmospheric Pressure ◽  
Preliminary Report ◽  
Lymphatic System ◽  
Meteorological Data ◽  
Climatic Conditions ◽  
Japan Meteorological Agency ◽  
Patient Admissions ◽  
Abdominal Aortic ◽  
Higher Temperature ◽  
Clinical Records

Abstract Since cellulitis is one of the most important factors for the prognosis of lymphedema, the prevention and prediction of cellulitis are considered to be critical in controlling lymphedema. We hypothesized that patients with lymphedema might show meteoropathy, as abdominal aortic aneurysm ruptures are considered to be influenced by climatic conditions, and the lymphatic system is one of the circulation systems. Thus, we aimed to determine if the onset of cellulitis in limbs affected by lymphedema is related to climatic conditions. We reviewed the clinical records of patients with lymphedema admitted for cellulitis at our institute between January 2007 and December 2017. We identified 40 patients, 25 of whom lived in the same area. We examined the association between the number of patient admissions according to season and meteorological data obtained from the Japan Meteorological Agency database. Thirteen of 25 patients were admitted in summer, whereas only one patient was admitted in winter. Both higher temperature and lower atmospheric pressure around the day of admission were associated with the occurrence of cellulitis. Lymphedema may be regarded as a meteoropathic disease, as climatic conditions were shown to be associated with cellulitis in limbs affected by lymphedema.

Incidence and survival rate of bystander-witnessed out-of-hospital cardiac arrest with cardiac etiology in Osaka, Japan: a population-based study according to the Utstein style

Resuscitation ◽  
2003 ◽  
Vol 59 (3) ◽  
pp. 329-335 ◽  
Author(s):  
Tatsuya Nishiuchi ◽  
Atsushi Hiraide ◽  
Yasuyuki Hayashi ◽  
Toshifumi Uejima ◽  
Hiroshi Morita ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Survival Rate ◽  
Population Based ◽  
Population Based Study ◽  
Utstein Style ◽  
Hospital Cardiac Arrest

scholarly journals Weather Fluctuations May Have an Impact on Stroke Occurrence in a Society: A Population-Based Cohort Study

2020 ◽  
Vol 10 (1) ◽  
pp. 1-10
Author(s):  
Naoki Matsumaru ◽  
Hideshi Okada ◽  
Kodai Suzuki ◽  
Sho Nachi ◽  
Takahiro Yoshida ◽  
...  
Keyword(s):  
Risk Factors ◽  
Odds Ratio ◽  
Meteorological Data ◽  
Significant Risk ◽  
Population Based ◽  
Japan Meteorological Agency ◽  
Humidity Change ◽  
Significant Difference ◽  
Target Period ◽  
Lower Temperature

Background: Stroke has been found to have a seasonally varying incidence; blood pressure, one of its risk factors, is influenced by humidity and temperature. The relationship between the incidence of stroke and meteorological parameters remains controversial. Objective: We investigated whether meteorological conditions are significant risk factors for stroke, focusing on the fluctuation of weather elements that triggers the onset of stroke. Methods: We collected ambulance transportation data recorded by emergency personnel from Gifu Prefecture. We included cases where the cause of the transportation was stroke and excluded cases of trauma. We combined these data with meteorological data as well as data on average temperature, average air pressure, and humidity provided publicly by the Japan Meteorological Agency. Our target period was from January 2012 to December 2016. Results: In the 5-year target period, there were 5,501 occurrences of ambulance transportation due to stroke. A seasonal tendency was confirmed, since ambulance transportation for stroke occurred more frequently at low temperatures (p < 0.001). Temperature (odds ratio: 0.91; p < 0.001) and humidity change (odds ratio: 1.50; p = 0.016) were identified as risk factors for ambulance transportation due to stroke. An increase in temperature incurs a lower risk than a decrease (odds ratio: 0.58; p = 0.09), although there is no statistically significant difference. Conclusions: Meteorological effects on the frequency of ambulance transportation due to stroke were studied. A lower temperature and radical humidity change were identified as risk factors for ambulance transportation due to stroke, and a decrease in temperature was also associated. We speculate on the possibilities of using meteorological data to optimize the assignment of limited medical resources in medical economics.

scholarly journals Meteorológiai paraméterek változásának hatása a halálos kimenetelű aortaaneurysma-rupturákra

2018 ◽  
Vol 159 (37) ◽  
pp. 1501-1505
Author(s):  
Márton Berczeli ◽  
Brigitta Szilágyi ◽  
Attila Lovas ◽  
Dániel Pál ◽  
Zoltán Oláh ◽  
...  
Keyword(s):  
Aortic Aneurysm ◽  
Atmospheric Pressure ◽  
Medical Condition ◽  
Weather Conditions ◽  
Population Based ◽  
Occurrence Rate ◽  
Data Sets ◽  
Starting Point ◽  
Weather Changes ◽  
The Mathematical Model

Abstract: Introduction: There are several statements about the connection between cardiovascular diseases and climate change. On behalf of our observation-based knowledge we hypothesized a relationship between the occurence of aortic aneurysm (AA) rupture and weather changes. Aim: The purpose of our study was to explore the relationship between fatal aortic catastrophe and changes in atmospheric pressure and temperature. By using a new method we could even measure the intensity of the connection. Method: We have developed a software earlier to examine the link between pulmonary embolism mortality and the weather on data sets comprised of aortic aneurysm cases, where the medical condition had led to the fatal rupture of the aorta. For the events mentioned earlier we used the autopsy database of Semmelweis University between January 1, 2005 and January 1, 2014. Altogether we examined 152 aneurysm-related aortic catastrophes. We reported the exact day of the incident and the weather conditions on that day and the day before. Results and conclusion: We have defined that the occurrence rate of fatal aortic catastrophe showed a slight dependence on the two examined parameters within our groups. We have found the connection related to ruptured aortic aneurysm and changes in atmospheric pressure more significant than their connection with mean daily temperatures. With the increase in atmospheric pressure, the rate of AA mortality also increased. In the knowledge of our results we believe that the mathematical model we used can be an effective starting point for population-based and prospective studies. Orv Hetil. 2018; 159(37): 1501–1505.

scholarly journals Association of ambient temperature with the outcomes in witnessed out-of-hospital cardiac arrest patients: a population-based observational study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Chiwon Ahn ◽  
Jihoon Kim ◽  
Wonhee Kim ◽  
In Young Kim ◽  
Hyun Young Choi ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Ambient Temperature ◽  
Primary Outcome ◽  
Meteorological Data ◽  
Population Based ◽  
Spontaneous Circulation ◽  
Secondary Outcome ◽  
Metropolitan Cities ◽  
Significant Difference ◽  
Hospital Cardiac Arrest

Abstract This study aimed to identify the association between ambient temperature (AT) and patient outcome of witnessed out-of-hospital cardiac arrest (OHCA) occurring outdoors. This retrospective nationwide, population-based cohort study recruited witnessed adult OHCA patients in South Korea from January 2012 to December 2016. Meteorological data of 17 metropolitan cities and provinces were retrieved from the Korea Meteorological Administration database. Primary outcome was sustained return of spontaneous circulation (ROSC) in hospital. Secondary outcome was survival to hospital discharge. By the standard of quartile categories of AT (Q1 = 7.1 °C; Q2 = 17.7 °C; Q3 = 23.5 °C), three comparative analyses for ROSC and survival were performed between low and high AT groups. Propensity score matching (1:1) was performed for both AT groups. Among the 142,906 OHCA patients, 1,295 were included. In the multivariate analysis for matched groups by the standard of 7.1 °C (Q1), proportion of ROSC was significantly higher in the high AT-Q1 group than in the low AT-Q1 group (adjusted odds ratio [aOR] 2.02, 95% confidence interval [CI] 1.19–3.44). No significant difference in survival was shown between both AT-Q1 groups (aOR 1.24, 95% CI 0.61–2.52). In the standard of 17.7 °C (Q2) and 23.5 °C (Q3), no significant differences in ROSC and survival were found between the low and high AT groups. In conclusion, no obvious correlation existed between AT and patient outcomes such as sustained ROSC or survival to discharge in this study.

scholarly journals Influência da arborização e da edificação na dispersão de material particulado respirável em cidade costeira altamente urbanizada (Fortaleza, CE-Brasil) (Influence of afforestation and building on the dispersion of respirable particulate material in a highly urbanized coastal city (Fortaleza, CE-Brazil))

2019 ◽  
Vol 12 (3) ◽  
pp. 913
Author(s):  
Elissandra Viana Marques ◽  
Camille Arraes Rocha ◽  
Rafael Pereira dos Santos ◽  
Fernanda Caroline Leal Ramos ◽  
Joyce Leylane Rocha Lima ◽  
...  
Keyword(s):  
Meteorological Factors ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Correlation ◽  
Particulate Material ◽  
Primary Data ◽  
Atmospheric Conditions ◽  
Coverage Area ◽  
Sampling Points ◽  
Respirable Particulate

O presente artigo tem como intuito abordar a influencia existente entre o índice de arborização e edificação com níveis do material particulado respirável (MP 2,5µm) e condições atmosféricas em áreas utilizadas para práticas de esportes e lazer no centro urbano de Fortaleza, CE, tendo em vista a melhora ou piora das condições atmosféricas em locais, predominantemente, ocupados por vegetação ou edifícios. Assim, foram coletados dados primários das concentrações de MP2,5 com a amostragem ativa e dados meteorológicos com uma estação meteorológica portátil em 7 pontos de amostragem distribuídos no Município. Os índices de Arborização e Edificação foram feitos por meio do Software ArcGis, consistindo no mapeamento e delimitação da área de cobertura por copas de árvores e edifícios nos pontos de amostragem selecionados. Assim, foi realizada a correlação estatística dos dados, onde verificou-se, como resultado, os tipos de correlações existentes, classificando-as como positivas ou negativas e fortes ou fracas. Assim, esse trabalho permitiu observar a influência entre as concentrações de MP2.5 na atmosfera e as variáveis meteorológicas, e a relação dos índices construídos com o MP2.5 e com a velocidade do vento.AbstractThe present article aims to address the influence between the index of vegetation and edification with respirable particulate matter levels (PM 2.5μm) and atmospheric conditions in areas used for sports and leisure practices in the urban center of Fortaleza, CE, with a view to improving or worse weather conditions at locations predominantly occupied by vegetation or buildings. Thus, primary data of the concentrations of PM2.5 with active sampling and meteorological data were collected with a portable meteorological station in 7 sampling points distributed in the Municipality. The vegetation and edification indexes were made through ArcGIS Software, consisting of the mapping and delimitation of the coverage area by crowns of trees and buildings at the selected sampling points. Thus, the statistical correlation of the data was performed, where as a result the types of correlations were found, classifying them as positive or negative and strong or weak. Thus, this work allowed to observe the influence between the concentrations of PM2.5 in the atmosphere and the meteorological variables, and the relation of the indices constructed with PM2.5 and with the wind speed.Keywords: atmospheric pollution, urban vegetation, verticalization, particles, meteorological factors

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

scholarly journals AnANN Model Trained on Regional Data in the Prediction of Particular Weather Conditions

2021 ◽  
Vol 11 (11) ◽  
pp. 4757
Author(s):  
Aleksandra Bączkiewicz ◽  
Jarosław Wątróbski ◽  
Wojciech Sałabun ◽  
Joanna Kołodziejczyk
Keyword(s):  
Atmospheric Pressure ◽  
Real Life ◽  
Real Data ◽  
Weather Conditions ◽  
Maximum Temperature ◽  
Air Masses ◽  
Weather Forecasts ◽  
Life Problems ◽  
The World ◽  
The City

Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving a wide variety of real-life problems. The possibility of using them for forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas of the world differ in terms of their difficulty and ability in preparing accurate weather forecasts. Poland lies in a zone with a moderate transition climate, which is characterized by seasonality and the inflow of many types of air masses from different directions, which, combined with the compound terrain, causes climate variability and makes it difficult to accurately predict the weather. For this reason, it is necessary to adapt the model to the prediction of weather conditions and verify its effectiveness on real data. The principal aim of this study is to present the use of a regressive model based on a unidirectional multilayer neural network, also called a Multilayer Perceptron (MLP), to predict selected weather indicators for the city of Szczecin in Poland. The forecast of the model we implemented was effective in determining the daily parameters at 96% compliance with the actual measurements for the prediction of the minimum and maximum temperature for the next day and 83.27% for the prediction of atmospheric pressure.

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