scholarly journals Influence of heliogeophysical factors on patients with myocardial infarction

2021 ◽  
Author(s):  
Ishenbay K. Moldotashev ◽  
Takhmina T. Taalaibekova ◽  
Nazira T. Kudaibergenova ◽  
Musapar D. Orozaliev ◽  
Nazar N. Usubaliev ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Geomagnetic Storms ◽  
Global Climate ◽  
Cloud Amount ◽  
Stable Relationship ◽  
Geographical Regions ◽  
Radiation Regime ◽  
Depth Study ◽  
Heliogeophysical Factors ◽  
Using Data

Introduction: Global climate change is already affecting the health, living conditions, and livelihoods of people on all continents. According to many researchers, the deterioration of the patient's condition is manifested after a solar flare, with the onset of a magnetic storm. Aim: The aim of the article is to study the influence of heliogeophysical factors on the development and outcomes of myocardial infarction. Material and methods: Using data on the effect of space weather on a person from France, Germany, China, Israel, Lithuania, Georgia, a number of Russian clinics – wherever patients with ischemic heart disease were observed, during magnetic storms. Results and discussion: An in-depth study of mortality from myocardial infarction in various climatic and geographical regions showed the dependence of the number of deaths on the season of the year and sharp fluctuations in individual meteorological parameters of the weather to a much greater extent in the year of solar activity. Conclusions: It was found that patients with cardiovascular diseases (CVD) are especially susceptible to heliogeophysical disturbances. The number and severity of CVD depend on many environmental factors (atmospheric pressure, air temperature, cloud amount, ionisation, radiation regime, etc.), a reliable and stable relationship of CVD is revealed with chromospheric flares and geomagnetic storms.

scholarly journals Relation of therapies for ankylosing spondylitis and psoriatic arthritis to risk of myocardial infarction: a nested case control study

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Rachael Stovall ◽  
Christine Peloquin ◽  
David Felson ◽  
Tuhina Neogi ◽  
Maureen Dubreuil
Keyword(s):  
Myocardial Infarction ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Case Control Study ◽  
Tumor Necrosis Factor Inhibitor ◽  
The United States ◽  
Case Control ◽  
Geographical Regions ◽  
Nested Case Control ◽  
Control Study

Abstract Background Risk of myocardial infarction (MI) is elevated in ankylosing spondylitis and psoriatic arthritis (AS/PsA) compared to the general population. We evaluated the risk of MI related to the use of tumor necrosis factor inhibitor (TNFi) and other therapies in AS/PsA. Methods We conducted a nested case-control study using 1994–2018 data from OptumLabs® Data Warehouse, which includes de-identified medical and pharmacy claims, laboratory results, and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on enrollees and patients, representing a diverse mixture of ages, ethnicities and geographical regions across the United States. Assessing AS/PsA separately, MI cases were matched to 4 controls by sex, age, diagnosis year and insurance type. We evaluated treatment within 6 months prior to MI including NSAIDs (AS referent), disease-modifying anti-rheumatic drug (DMARDs; PsA referent) and TNFi alone or in combinations. We evaluated the relation of treatment categories to MI risk using conditional logistical regression adjusting for confounders. Results Among 26,648 AS subjects, there were 237 MI cases and 894 matched controls. Among 43,734 PsA subjects, there were 404 cases and 1596 controls. In AS, relative to NSAID use, the adjusted odds ratio (aOR) for MI among TNFi only users was 0.85 (95% CI 0.39–1.85) and for DMARD only users was 1.04 (95% CI 0.65–1.68). In PsA, relative to DMARD use, the aOR among TNFi only was 1.09 (95% CI 0.74–1.60). Combination therapies also had no effect. Conclusions Among AS/PsA, no combination of therapies appeared to be protective or harmful with regards to MI. Future studies should capture more AS and PsA patients and include longer term follow up to further investigate this question.

Assessment of Arctic Cloud Cover Anomalies in Atmospheric Reanalysis Products Using Satellite Data

2016 ◽  
Vol 29 (17) ◽  
pp. 6065-6083 ◽  
Author(s):  
Yinghui Liu ◽  
Jeffrey R. Key
Keyword(s):  
Cloud Cover ◽  
Climate Models ◽  
Global Climate ◽  
Correlation Coefficients ◽  
Cloud Amount ◽  
Satellite Observation ◽  
Skill Score ◽  
Global Climate Models ◽  
Moderate Resolution ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract Cloud cover is one of the largest uncertainties in model predictions of the future Arctic climate. Previous studies have shown that cloud amounts in global climate models and atmospheric reanalyses vary widely and may have large biases. However, many climate studies are based on anomalies rather than absolute values, for which biases are less important. This study examines the performance of five atmospheric reanalysis products—ERA-Interim, MERRA, MERRA-2, NCEP R1, and NCEP R2—in depicting monthly mean Arctic cloud amount anomalies against Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observations from 2000 to 2014 and against Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations from 2006 to 2014. All five reanalysis products exhibit biases in the mean cloud amount, especially in winter. The Gerrity skill score (GSS) and correlation analysis are used to quantify their performance in terms of interannual variations. Results show that ERA-Interim, MERRA, MERRA-2, and NCEP R2 perform similarly, with annual mean GSSs of 0.36/0.22, 0.31/0.24, 0.32/0.23, and 0.32/0.23 and annual mean correlation coefficients of 0.50/0.51, 0.43/0.54, 0.44/0.53, and 0.50/0.52 against MODIS/CALIPSO, indicating that the reanalysis datasets do exhibit some capability for depicting the monthly mean cloud amount anomalies. There are no significant differences in the overall performance of reanalysis products. They all perform best in July, August, and September and worst in November, December, and January. All reanalysis datasets have better performance over land than over ocean. This study identifies the magnitudes of errors in Arctic mean cloud amounts and anomalies and provides a useful tool for evaluating future improvements in the cloud schemes of reanalysis products.

Abstract P069: Heat, Heat Waves and Hospital Admissions in Indianapolis, Indiana

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Yi Wang
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Relative Risk ◽  
Heat Wave ◽  
Hospital Admissions ◽  
Heat Waves ◽  
Global Climate ◽  
Extreme Heat ◽  
Apparent Temperature ◽  
The Impact

Background: The association between heat and hospital admissions is well studied, but in Indiana where the regulatory agencies cites lack of evidence for global climate change, local evidence of such an association is critical for Indiana to mitigate the impact of increasing heat. Methods: Using a distributed-lag non-linear model, we studied the effects of moderate (31.7 °C or 90 th percentile of daily mean apparent temperature (AT)), severe (33.5 °C or 95 th percentile of daily mean apparent temperature (AT)) and extreme (36.4 °C or 99 th percentile of AT) heat on hospital admissions (June-August 2007-2012) for cardiovascular (myocardial infarction, myocardial infarction, heart failure) and heat-related diseases in Indianapolis, Indiana located in Marion County. We also examined the added effects of moderate heat waves (AT above the 90 th percentile lasting 2-6 days), severe heat waves (AT above the 95 th percentile lasting 2-6 days) and extreme heat waves (AT above the 99 th percentile lasting 2-6 days). In sensitivity analysis, we tested robustness of our results to 1) different temperature and lag structures and 2) temperature metrics (daily min, max and diurnal temperature range). Results: The relative risks of moderate heat, relative to 29.2°C (75 th percentile of AT), on admissions for cardiovascular disease (CVD), myocardial infarction (MI), heart failure (HF), and heat-related diseases (HD) were 0.98 (0.67, 1.44), 6.28 (1.48, 26.6), 1.38 (0.81, 2.36) and 1.73 (0.58, 5.11). The relative risk of severe heat on admissions for CVD, MI, HF, and HD were 0.93 (0.60, 1.43), 4.46 (0.85, 23.4), 1.30 (0.72, 2.34) and 2.14 (0.43, 10.7). The relative risk of extreme heat were 0.79 (0.26, 2.39), 0.11 (0.087, 1.32), 0.68 (0.18, 2.61), and 0.32 (0.005, 19.5). We also observed statistically significant added effects of moderate heat waves lasting 4 or 6 days on hospital admission for MI and HD and extreme heat waves lasting 4 days on hospital admissions for HD. Results were strengthened for people older than 65. Conclusions: Moderate heat wave lasting 4-6 days were associated with increased hospital admissions for MI and HD diseases and extreme heat wave lasting 4 days were associated with increased admissions for HD.

scholarly journals Trends in mortality from ill-defined causes among the elderly in Brazil, 1979-2013: ecological study

2016 ◽  
Vol 134 (5) ◽  
pp. 437-445 ◽  
Author(s):  
Davi Félix Martins Junior ◽  
Ridalva Dias Martins Felzemburg ◽  
Acácia Batista Dias ◽  
Tania Maria Costa ◽  
Pedro Nascimento Prates Santos
Keyword(s):  
Ecological Study ◽  
Temporal Trend ◽  
Health Indicators ◽  
The Elderly ◽  
Simple Linear Regression ◽  
Geographical Regions ◽  
Proportional Mortality ◽  
Males And Females ◽  
Using Data ◽  
Health Situation

ABSTRACT CONTEXT AND OBJECTIVE: Mortality measurements are traditionally used as health indicators and are useful in describing a population's health situation through reporting injuries that lead to death. The aim here was to analyze the temporal trend of proportional mortality from ill-defined causes (IDCs) among the elderly in Brazil from 1979 to 2013. DESIGN AND SETTING: Ecological study using data from the Mortality Information System of the Brazilian Ministry of Health. METHODS: The proportional mortality from IDCs among the elderly was calculated for each year of the study series (1979 to 2013) in Brazil, and the data were disaggregated according to sex and to the five geographical regions and states. To analyze time trends, simple linear regression coefficients were calculated. RESULTS: During the study period, there were 2,646,194 deaths from IDCs among the elderly, with a decreasing trend (ß -0.545; confidence interval, CI: -0.616 to -0.475; P < 0.000) for both males and females. This reduction was also observed in the macroregions and states, except for Amapá. The states in the northeastern region reported an average reduction of 80%. CONCLUSIONS: Mortality from IDCs among the elderly has decreased continuously since 1985, but at different rates among the different regions and states. Actions aimed at improving data records on death certificates need to be strengthened in order to continue the trend observed.

scholarly journals Juxtaposing Farmers’ Suicides and Climate Change Vulnerability: An Empirical Analysis of Indian States

2021 ◽  
Vol 9 (1) ◽  
pp. 66-79
Author(s):  
Sridevi Gummadi ◽  
Amalendu Jyotishi ◽  
G Jagadeesh
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Risk Index ◽  
Strong Association ◽  
Vulnerability Index ◽  
Indian States ◽  
Climate Change Vulnerability ◽  
Climate Risks ◽  
Using Data ◽  
Comprehensive Study

India’s overall ranking on the Global Climate Risk Index has been deteriorating in recent years, making it more vulnerable to climate risks. It has been indicated in the literature that climate change is also associated with agrarian distress. However, empirical analyses are scanty on this, especially in the Indian context. In this analytical exercise, we tried to explore the association between farmers’ suicides and climate change vulnerability across Indian states. Using data from various sources, we arrive at an Agrarian Vulnerability Index and juxtaposed that with farmers’ suicide data between 1996 to 2015 collected from the National Crime Records Bureau (NCRB). We noted a strong association between climate change vulnerability and farmers’ suicides. The essence of this analysis is to indicate and understand the broad trends and associations. This research, in the process, informs and presses for a systematic, more comprehensive study with an agenda at micro and meso levels to understand the nuances of this association. Submitted: 01 November 2020; Revised: 11 January 2021; Accepted: 29 April 2021

scholarly journals Oral Antithrombotic Use Among Myocardial Infarction Patients

2003 ◽  
Vol 37 (1) ◽  
pp. 143-146 ◽  
Author(s):  
Menno E van der Elst ◽  
Nelly Cisneros-Gonzalez ◽  
Cornelis J de Blaey ◽  
Henk Buurma ◽  
Anthonius de Boer
Keyword(s):  
Myocardial Infarction ◽  
Record Linkage ◽  
Antithrombotic Therapy ◽  
Past History ◽  
Oral Anticoagulants ◽  
Antiplatelet Agents ◽  
Antithrombotic Treatment ◽  
History Of ◽  
Using Data

OBJECTIVE To examine the use of oral antithrombotics (i.e., antiplatelet agents, oral anticoagulants) after myocardial infarction (MI) in the Netherlands from 1988 to 1998. METHODS Retrospective follow-up of 3800 patients with MI, using data from the PHARMO Record Linkage System. RESULTS From 1988 to 1998, oral antithrombotic treatment increased significantly from 54.0% to 88.9%. In 1998, only 75.8% of patients who experienced a MI in the late 1980s received oral antithrombotic treatment compared with 94.4% of those who experienced a recent MI. CONCLUSIONS Oral antithrombotics were considerably underused in patients with a past history of MI. Therefore, these patients should be reviewed for antithrombotic therapy to assess whether their failure to use oral antithrombotics was right or wrong, and whether treatment should be initiated if possible.

Abstract 121: Testing Frequency Of Guideline-recommended Diabetes Performance Measures In A Cohort Of Post-acute Myocardial Infarction (AMI) Diabetics.

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Sood Kisra ◽  
John Spertus ◽  
Faraz Kureshi ◽  
Philip G Jones ◽  
Mikhail Kosiborod ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Quality Of Care ◽  
Performance Measures ◽  
High Risk Group ◽  
Diabetic Patients ◽  
Testing Frequency ◽  
Patient Reported ◽  
Using Data

Background: Diabetes mellitus (DM) is common among patients hospitalized with acute myocardial infarction (AMI). Although guideline-supported performance measures exist to improve care for each condition, prior work assessing the quality of care for diabetic patients after AMI has focused only on adherence to CAD performance measures. The quality of diabetic care these patients’ receive is unknown. Methods: Using data from a prospective AMI registry (TRIUMPH), we identified patients with known DM and examined whether DM-focused performance measures had been applied over the 12 months after discharge. We focused upon 3 DM guideline-supported performance measures: a dilated eye exam, detailed foot exam, and HgbA1C testing. For this analysis, we conducted univariate statistics to describe the frequencies with which diabetics reported receiving these DM performance measures and 4 CAD performance measures at their 12-month interview. Results: Among 1,343 patients with a known diagnosis of diabetes presenting with an AMI, a total of 791 (58.9%) completed the 12-month follow up interview. The mean age (SD) of the analytic cohort was 6111 years, with 60% being males and 63% Caucasian. The frequencies of reported receipt among the examined DM and CAD performance measures ranged from 57.3%- 82.2%, with ASA being the most common and a dilated eye exam being the least (Figure). Only 47% of patients reported receiving all three DM performance measures over the past 12 months, while 41.1% reported receiving either one or two, and 12% reported receiving none. Conclusion: In a large, multi-center cohort of diabetic AMI survivors we found that patient-reported receipt of 3 DM and 4 CAD performance measures is sub-optimal and there is significant room for improvement. Novel strategies and approaches for assessing the quality of care delivered to post-AMI diabetics in a multidimensional fashion remains vital for improving care and outcomes in this high-risk group of patients. Characters: 1,683 + figure 500. Limit 2,500

Abstract 20172: Identifying Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Claims Data

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Tiffany E Chang ◽  
Shu-Xia Li ◽  
Isuru Ranasinghe ◽  
Harlan Krumholz
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Claims Data ◽  
Administrative Claims ◽  
Hospital Data ◽  
American Hospital ◽  
American Hospital Association ◽  
Surgical Services ◽  
Chest X Ray ◽  
Using Data

Background: Hospital data on cardiac services provided is restricted to a limited number of services collected by the American Hospital Association (AHA) Survey. We developed an alternative method to identify hospital services using individual patient administrative claims data for acute myocardial infarction (AMI) in the Premier Database. Methods: We first determined inpatient cardiac services relevant for AMI care from guidelines. Then, we identified these services from patient claims using ICD-9, CPT, Medicare Revenue and provider specialty codes. Additionally, Premier Chargemaster and Physician Specialty Codes were used. A hospital was classified as providing a service if they had >5 AMI patient claims for the service in the Premier database from 2009-2011. To measure the accuracy of the claims based method, we compared the percentage of hospitals that were shown to provide a service identified through the AHA survey for a subset of services identifiable from both sources. Results: We identified 32 services relevant for AMI care that could be defined using data with inpatient claims among 476 hospitals in the Premier database (Figure). The availability of these services ranged from 100% (for services such as chest x-ray) to 1% for heart transplant service. When compared to the subset of 12 services also collected in the AHA survey, a high percentage of agreement (≥80%) was noted for 10/16 (63%) services (such as a dedicated ED, general CT, coronary angiography, PCI, ICU, pharmacist and physio/OT services). Moderate agreement was seen for one service (coronary care unit), and 5/16 (31%) services showed low agreement (≤50%) (EP testing, inpatient cardiac surgical services, inpatient cardiac rehabilitation, transplant unit, and social worker). Conclusion: It is feasible to use claims data to determine in-hospital AMI services, but the accuracy of the method needs to be investigated further for certain services that have a low degree of agreement in our analysis.

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