Does climate change affect the chronobiological trends in occurrence of acute coronary syndromes?

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
L Kuzma ◽  
A Kurasz ◽  
M Niwinska ◽  
EJ Dabrowski ◽  
M Swieczkowski ◽  
...  
Keyword(s):  
Climate Change ◽  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Global Climate ◽  
Weather Conditions ◽  
Temperature Changes ◽  
Funding Sources ◽  
Relative Risks ◽  
Coronary Syndromes ◽  
Atmospheric Changes

Abstract Funding Acknowledgements Type of funding sources: None. Background Acute coronary syndromes (ACS) are the leading cause of death all over the world, in the last years chronobiology of their occurrence has been changing. Purpose The aim of this study was to assess the influence of climate change on hospital admissions due to ACS. Methods Medical records of 10,529 patients hospitalized for ACS in 2008–2017 were examined. Weather conditions data were obtained from the Institute of Meteorology. Results Among the patients, 3537 (33.6%) were hospitalized for STEMI, 3947 (37.5%) for NSTEMI, and 3045 (28.9%) for UA. The highest seasonal mean for ACS was recorded in spring (N = 2782, mean = 2.52, SD = 1.7; OR 1.07; 95% CI 1.0-1.2; P = 0.049) and it was a season with the highest temperature changes day to day (Δ temp.=11.7). On the other hand, every 10ºC change in temperature was associated with an increased admission due to ACS by 13% (RR 1.13; 95% CI 1.04-1.3; P = 0.008). Analysis of weekly changes showed that the highest frequency of ACS occurred on Thursday (N = 1703, mean = 2.7, SD = 1.9; OR 1.16; 95% CI 1.0-1.23; P = 0.004), in STEMI subgroup it was Monday (N = 592, mean = 0.9, SD = 1.6, OR 1.2; 95% CI 1.1-1.4; P = 0.002). Sunday was associated with decreased admissions due to all types of ACS (N = 1098, mean = 1.7, SD = 1.4; OR 0.69; 95% CI 0.6-0.8, P < 0.001). In the second half of the study period (2013-2018) the relative risks of hospital admissions due to ACS were 1.043 (95%CI: 1.009-1.079, P = 0.014, lag 0) and 0.957 (95%CI: 0.925-0.990, P = 0.010, lag 1) for each 10ºC decrease in temperature; 1.049 (95% CI: 1.015-1.084, P = 0.004, lag 0) and 1.045 (95%CI: 1.011-1.080, P = 0.008, lag 1) for each 10 hPa decrease in atmospheric pressure and 1.180 (95% CI: 1.078-1.324, P = 0.007, lag 0) for every 10ºC change in temperature. For the first half of the study the risk was significantly lower. Conclusion We observed a shift in the seasonal peak of ACS occurrence from winter to spring which may be related to temperature fluctuation associated with climate change in this season. The lowest frequency of ACS took place on weekends. Atmospheric changes had a much more pronounced effect on admissions due to ACS in the second half of the analyzed period, which is in line with the dynamics of global climate change.

scholarly journals Does climate change affect the chronobiological trends in the occurrence of acute coronary syndrome?

2021 ◽  
Author(s):  
Łukasz Kuźma ◽  
Anna Kurasz ◽  
Marta Niewinska ◽  
Małgorzata Zalewska-Adamiec ◽  
Hanna Bachórzewska-Gajewska ◽  
...  
Keyword(s):  
Climate Change ◽  
Medical Records ◽  
Temperature Fluctuations ◽  
Weather Conditions ◽  
The Elderly ◽  
Temperature Changes ◽  
Coronary Syndrome ◽  
The World ◽  
Coronary Syndromes ◽  
Medical University

IntroductionAcute coronary syndromes (ACS) are the leading cause of death all over the world. In the last years, the chronobiology of their occurrence has been changing.Material and methodsMedical records of 10,529 patients hospitalized for ACS in the Medical University of Bialystok, in 2008–2017, were examined. Weather conditions data for Bialystok County were obtained from the Institute of Meteorology.Results: The highest seasonal mean for ACS was recorded in spring (OR = 1.08, 95% CI: 1.00–1.18, p = 0.049) and it was the season with the largest temperature changes from day to day (∆ temp. = 11.01). On the other hand, every 10ºC change in temperature was associated with increased admission due to ACS by 13% (RR = 1.13, 95% CI: 1.040–1.300, p = 0.008) and 12% in patients over 70 (RR = 1.118, 95% CI: 1.001–1.249, p = 0.048, lag 1). Analysis of weekly changes showed that the highest frequency of ACS occurred on Thursday (OR = 1.16, 95% CI: 1.05–1.28, p = 0.003), while in the STEMI subgroup it was Monday (n = 592, mean = 0.94, SD = 1.04, OR = 1.20, 95% CI: 1.07–1.36, p = 0.003). Sunday was associated with decreased admissions due to all types of ACS (OR = 0.70, 95% CI: 0.63–0.77, p < 0.001).ConclusionsWeather conditions have an impact on ACS frequency and the elderly are more susceptible. We observed a shift in the seasonal peak of ACS occurrence from winter to spring which may be related to temperature fluctuations associated with climate change in this season. The lowest frequency of ACS took place on weekends.

scholarly journals Is HBA1C reliable in diagnosing diabetes in the acute phase of acute coronary syndromes?

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
M Stratinaki ◽  
K Milaki ◽  
S Stavrakis ◽  
M Pitarokoilis ◽  
E Charitakis ◽  
...  
Keyword(s):  
Acute Phase ◽  
Acute Coronary Syndromes ◽  
Rank Correlation ◽  
Mean Value ◽  
Gensini Score ◽  
Funding Sources ◽  
Spearman’S Rank Correlation ◽  
Coronary Syndromes ◽  
One Way Anova

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Hospitalization due to acute coronary syndromes (ACS) usually is the occasion that leads to diagnosis of type 2 diabetes mellitus (T2DM). Current literature suggests that the severity of the ACS could be associated with the presence and the severity of DM. Purpose To study the reliability of HbA1c in the diagnosis of T2DM in the acute phase of ACS, as well as the presence of possible correlation between the HbA1c and the severity of ACS. Methods We evaluated 160 consecutive patients admitted due to ACS. HbA1c was measured on day 1 and day 90. HbA1c &gt;6.5% was used to diagnose T2DM and HbA1c 5.7-6.4% was used to diagnose pre-diabetes. The severity of ACS was assessed via Gensini score. Results are interpreted as mean ± SD. Comparisons were made by one way ANOVA(p &lt; 0.05 was regarded statistically significant).Spearman’s rank correlation was used to study the correlation between Gensini score and the other parameters. Results Mean age was 59.73 ± 12.21 years. 103/160(64.37%) were male and 57/160(35.63%) were female. 19/160(11.87%) were diagnosed as STEMI and 141/160(88.13%) as NSTEMI. Mean BMI was 29.55 ± 8.41 kg/m2 and mean Hb 12.62 ± 2.08 g/dl. On day 1, 43/160 (26.87%) had HbA1c &gt; 6.5% and 41/160(25.62%) HbA1c 5.7-6.4%. On day 90, 28/160 (17.5%) had HbA1c &gt; 6.5% and 52/160(32.5%) HbA1c 5.7-6.4%. Gensini score varied between 0-144 with mean value 40.26 ±35.9. A strong correlation was found between Gensini score and HbA1c on admission as well as on day 90 (rho-0.36, p &lt; 0.05 and rho = 0.32, p &lt; 0.05 respectively). Conclusion HbA1c seems to be reliable in the identification of pre-diabetes but not T2DM in the acute phase of ACS. The correlation of the severity between ACS and HbA1c seems to relate with the worst prognosis of T2DM patients.

Potential effects of global climate change on the biodiversity of plants

1992 ◽  
Vol 68 (4) ◽  
pp. 462-471 ◽  
Author(s):  
Mark W. Schwartz
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Insect Pests ◽  
Global Climate ◽  
Plant Stress ◽  
Microbial Pathogens ◽  
Temperature Changes ◽  
Migration Rates ◽  
Industrial Level ◽  
Migration Response

Climatologists have observed a consistent increase in atmospheric CO2 over the past 30 years. It is predicted that CO2 levels could double the pre-industrial level of 280 ppm by the year 2100, perphaps much earlier. Climate models of doubled atmospheric CO2 predict that mean temperatures will increase between 1.5 and 4.5 °C globally; these temperature changes will be greater at high latitudes. Mid-continental regions will experience lower rainfall. Predictions of species northward range shifts in response to climate change vary from 100 km to over 500 km. Historical evidence of species range movements following the Pleistocene indicate that tree species typically migrated at rates of 10 km to 40 km per century. A simulation model that predicts the migration response of trees through modern fragmented landscapes predicts migration rates much lower than Pleistocene observations. Thus migration response is likely to lag far behind rates of climatic change, potentially threatening narrowly distributed species whose predicted future ranges do not overlap with their current range. Insect pests and microbial pathogens should respond to climatic warming faster than long-lived trees. Predicted increased drought frequency may increase plant stress and thereby increase the frequency of insect outbreaks and disease. Predictions of species responses are complicated by direct effects of increased CO2, such as increased water-use efficiency. However, response to elevated CO2 varies among species. Thus, shifts in composition within plant communities are also likely, but are, as yet, unpredictable.

scholarly journals Effects of Climate Change on Epidemics of Powdery Mildew in Winter Wheat in China

Plant Disease ◽  
2017 ◽  
Vol 101 (10) ◽  
pp. 1753-1760 ◽  
Author(s):  
Xiuli Tang ◽  
Xueren Cao ◽  
Xiangming Xu ◽  
Yuying Jiang ◽  
Yong Luo ◽  
...  
Keyword(s):  
Climate Change ◽  
Relative Humidity ◽  
Powdery Mildew ◽  
Winter Wheat ◽  
Weather Conditions ◽  
Early Spring ◽  
Long Term Effects ◽  
Temperature Changes ◽  
Disease Epidemics

Powdery mildew is a highly destructive winter wheat pathogen in China. Since the causative agent is sensitive to changing weather conditions, we analyzed climatic records from regions with previous wheat powdery mildew epidemics (1970 to 2012) and investigated the long-term effects of climate change on the percent acreage (PA) of the disease. Then, using PA and the pathogen’s temperature requirements, we constructed a multiregression model to predict changes in epidemics during the 2020s, 2050s, and 2080s under representative concentration pathways RCP2.6, RCP4.5, and RCP8.5. Mean monthly air temperature increased from 1970 to 2012, whereas hours of sunshine and relative humidity decreased (P < 0.001). Year-to-year temperature changes were negatively associated with those of PA during oversummering and late spring periods of disease epidemics, whereas positive relationships were noted for other periods, and year-to-year changes in relative humidity were correlated with PA changes in the early spring period of disease epidemics (P < 0.001). Our models also predicted that PA would increase less under RCP2.6 (14.43%) than under RCP4.5 (14.51%) by the 2020s but would be higher by the 2050s and 2080s and would increase least under RCP8.5 (14.37% by the 2020s). Powdery mildew will, thus, pose an even greater threat to China’s winter wheat production in the future.

Effects of Ottoman Rice Plantations in South-eastern European Landscape: Climate Change, Hydrology and Disease

2020 ◽  
Author(s):  
Özlem Sert
Keyword(s):  
Climate Change ◽  
Large Scale ◽  
Weather Conditions ◽  
Eastern European ◽  
Climate History ◽  
Temperature Changes ◽  
History Of ◽  
Early Modern Times ◽  
Large Scale Land ◽  
Rice Plantations

&lt;p&gt;Humid weather conditions of the sixteenth century enabled the introduction of aqua crops to Southeastern European landscapes. The Ottoman government employed a group of experts for the cultivation of rice to implement and rehabilitate rice production. Rice plantations, as an anthropogenic intrusion in the region between Tigris to the Danube, had a fundamental social and environmental impact. Organization of human resources on a large scale; land reclamations, deforestation, and kilometres-long irrigation work changed the landscape, produced seasonal miasma and aquatic pests. Ottoman rice plantations transformed the Southeastern European socio-ecological landscapes in early modern times. Historical data about the Ottoman rice plantations open new insights for improving our knowledge about climate history, the history of riverbeds and the history of malaria in this landscape. The study presents a monography of the plantations with historical drawings and maps, showing the farms on river beds, delineates the responsiveness of the rice harvest to precipitation and temperature changes and maps the triggered aquatic pests due to climate change and deforestation. The presentation aims at opening a historical perspective to today's questions on climate change, hydrology and vector caused diseases.&lt;/p&gt;

Climatological variations in daily hospital admissions for acute coronary syndromes

2004 ◽  
Vol 94 (2-3) ◽  
pp. 229-233 ◽  
Author(s):  
Demosthenes B. Panagiotakos ◽  
Christina Chrysohoou ◽  
Christos Pitsavos ◽  
Panagiotis Nastos ◽  
Aggelos Anadiotis ◽  
...  
Keyword(s):  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Coronary Syndromes

scholarly journals How Would We Cycle Today If We Had the Weather of Tomorrow? An Analysis of the Impact of Climate Change on Bicycle Traffic

2021 ◽  
Vol 13 (18) ◽  
pp. 10254
Author(s):  
Anton Galich ◽  
Simon Nieland ◽  
Barbara Lenz ◽  
Jan Blechschmidt
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Winter Season ◽  
Model Performance ◽  
Weather Conditions ◽  
Planning And Design ◽  
Validation Procedure ◽  
The Impact ◽  
The City ◽  
Local Weather

Bicycle usage is significantly affected by weather conditions. Climate change is, therefore, expected to have an impact on the volume of bicycle traffic, which is an important factor in the planning and design of bicycle infrastructures. To predict bicycle traffic in a changed climate in the city of Berlin, this paper compares a traditional statistical approach to three machine learning models. For this purpose, a cross-validation procedure is developed that evaluates model performance on the basis of prediction accuracy. XGBoost showed the best performance and is used for the prediction of bicycle counts. Our results indicate that we can expect an overall annual increase in bicycle traffic of 1–4% in the city of Berlin due to the changes in local weather conditions caused by global climate change. The biggest changes are expected to occur in the winter season with increases of 11–14% due to rising temperatures and only slight increases in precipitation.

scholarly journals Unpredictable Fall of Severe Emergent Cardiovascular Diseases Hospital Admissions During the COVID‐19 Pandemic: Experience of a Single Large Center in Northern Italy

2020 ◽  
Vol 9 (13) ◽  
Author(s):  
Mauro Toniolo ◽  
Francesco Negri ◽  
Marco Antonutti ◽  
Marco Masè ◽  
Domenico Facchin
Keyword(s):  
Cardiovascular Diseases ◽  
Acute Coronary Syndromes ◽  
Hospital Admissions ◽  
Early Recognition ◽  
Time Frame ◽  
Northern Italy ◽  
University Hospital ◽  
Tertiary Referral Center ◽  
Coronary Syndromes ◽  
The Impact

Background Northern Italy is one of the epicenters of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV 2) pandemic in Europe. The impact of the pandemic and the consequent lockdown on medical emergencies other than those SARS‐CoV 2 pandemic related is largely unknown. The aim of this study was to analyze the epidemiologic impact of coronavirus disease 2019 pandemic on hospital admission for severe emergent cardiovascular diseases ( SECD s) in a single Northern Italy large tertiary referral center. Methods and Results We quantified SECD s admissions to the Cardiology Division of Udine University Hospital between March 1, 2020 and March 31, 2020 and compared them with those of the same time frame during 2019. Compared with March 2019, we observed a significant reduction in all SECD s admissions: −30% for ST ‐segment–elevation acute coronary syndromes, −66% for non‐ ST ‐segment–elevation acute coronary syndromes and −50% for severe bradyarrhythmia. Conclusions A significant decrease in all SECD s admissions has been observed during the SARS‐CoV 2. pandemic and was unlikely caused by a reduction in the incidence of cardiovascular diseases. Fear of contagion may have contributed to the unpredictable drop of SECD s. Social education about early recognition of symptoms of life‐threatening cardiac conditions requiring appropriate care in a timely fashion may help to reduce this counterproductive phenomenon.

Historical Perspectives on Climate Change

1998 ◽  
Author(s):  
James R. Fleming
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Early America ◽  
Temperature Changes ◽  
Historical Perspectives ◽  
The Past ◽  
The Enlightenment ◽  
Late Twentieth ◽  
Late Twentieth Century ◽  
Field Of Inquiry

This intriguing volume provides a thorough examination of the historical roots of global climate change as a field of inquiry, from the Enlightenment to the late twentieth century. Based on primary and archival sources, the book is filled with interesting perspectives on what people have understood, experienced, and feared about the climate and its changes in the past. Chapters explore climate and culture in Enlightenment thought; climate debates in early America; the development of international networks of observation; the scientific transformation of climate discourse; and early contributions to understanding terrestrial temperature changes, infrared radiation, and the carbon dioxide theory of climate. But perhaps most important, this book shows what a study of the past has to offer the interdisciplinary investigation of current environmental problems.

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