Hot Spot: Impact of July 2011 Heat Wave in Southern Italy (Apulia) on Cardiovascular Disease Assessed by Emergency Medical Service and Telemedicine Support

Brunetti, Natale Daniele; Amoruso, Daniele; Dellegrottaglie, Giulia; Giuseppe, Giuseppe Di; Antonelli, G

doi:10.1089/tmj.2013.0086

Cited by 20 publications

(16 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An 8% increase in BLS demand and a 14% increase in ALS demand on days with extreme heat was recently reported in King County, Washington during the spring and summer months over a 5-year period (18). Similar studies evaluating heat waves and increased EMS use have been reported in Boston (32), Atlanta (33), and Phenix (34), Australia (35,36), Canada (37,38), Italy (39), Japan (40), and Switzerland (41). The findings from our study support and add to these studies by identifying a greater all-cause need for EMS during periods of higher temperature using granular hourly temperature data.…”

Section: Discussionsupporting

confidence: 88%

Weather and Temporal Factors Associated with Use of Emergency Medical Services

Ramgopal¹,

Dunnick²,

Owusu‐Ansah³

et al. 2019

Prehospital Emergency Care

View full text Add to dashboard Cite

Background: Fluctuations in emergency medical services (EMS) responses can have a substantial impact on the ability of agencies to meet resource needs within an EMS system. We aimed to identify weather characteristics as potentially predictable factors associated with EMS responses. Methods: We reviewed hourly counts of scene responses documented by 24 EMS agencies in Western Pennsylvania from January 1, 2014 to December 31, 2017 and compared rates of responses to weather characteristics. Responses to counties nonadjacent to the studied weather reporting station and interfacility/scheduled transports were excluded. We identified the mean temperature, meters visibility, dew point, wind speed, total millimeters of precipitation, and presence of rain or snow in 6-hour windows prior to dispatch, in addition to temporal factors of time of day and weekend vs. weekday. Analysis was performed using multivariable linear regression of a negative binomial distribution, reporting incidence rate ratios (IRR) with 95% confidence intervals (CI). Secondary analyses were performed for transports to the hospital and cases involving transports for traumatic complaints and pediatric patients (age <18 years). Results: We included 529,058 responses (54.8% female, mean age 57.2 ± SD 24.7 years). In our multivariable model, responses were associated with (IRR, 95% CI) rain (1.10, 1.08-1.11) snow (1.07, 1.05-1.09), and both rain and snow (1.15, 1.11-1.19). A lower incidence of responses occurred on weekends (0.84, 0.83-0.85) and at night (0.62,0.61-0.62). Increasing temperature in 5 °C increments was associated with an increase in responses across seasons with an effect that varied between 1.16 (1.15-1.17) in winter to 1.31 (1.28-1.33) in summer. Windy weather was associated with increased responses from light breeze (1.10, 1.09-1.11) to fresh breeze or greater (1.23, 1.16-1.30). Transports occurred in a similar pattern to responses. Trauma transports

show abstract

Section: Discussionsupporting

confidence: 88%

Weather and Temporal Factors Associated with Use of Emergency Medical Services

Ramgopal¹,

Dunnick²,

Owusu‐Ansah³

et al. 2019

Prehospital Emergency Care

View full text Add to dashboard Cite

show abstract

“…Previous studies showed that occasional hype in mass media and press may negatively impact annual rates of influenza vaccination, with consequent dramatic impact on emergency service workloads supported by telemedicine [23]. Catastrophic events may also translate into peaks in emergency and telemedicine calls and stressed emergency services [24].…”

Section: Discussionmentioning

confidence: 99%

Impact of 2020 SARS-CoV-2 outbreak on telemedicine management of cardiovascular disease in Italy

et al. 2020

Self Cite

View full text Add to dashboard Cite

The Covid-19 pandemic affected large part of Italy since February 2020; we, therefore, aimed to assess the impact of 2020 SARS-CoV-2 outbreak on telemedicine management of cardiovascular disease (CVD) in Italy. We analyzed data from three telemedicine dispatch centers, one located in Genoa, serving private clients (pharmacies, general practitioners), one in Brescia, serving pharmacies, and one in Bari, serving regional public STEMI network and emergency medical service in Apulia (4 million inhabitants). Demographic data and principal electrocardiogram diagnosis were collected and analyzed. Records from the time interval March 1, 2020 and April 1, 2020 were compared with the corresponding period in 2019. The comparative analysis of data shows a 54% reduction of telemedicine electrocardiogram transmission in Genoa telemedicine center (from 364 to 166), 68% in Brescia (from 5.745 to 1.905), 24% in Bari (from 15.825 to 11.716); relative reduction according to electrocardiogram diagnosis was 38% for acute coronary syndrome, 40% for other acute CVD in Genoa center, 24% for acute coronary syndrome, and 38% for other acute CVD in Bari. Male/female ratio remained substantially unchanged. A dramatic reduction of telemedicine access for CVD was observed during Covid-19 outbreak in March 2020 in Italy. The reduction was substantially consistent for all electrocardiogram findings, ACS, other acute CVD and normal.

show abstract

“…A related and rapidly accumulating body of research assesses the relationship between high temperature and health events other than mortality: hospital admissions and emergency department (ED) visits ( Hess et al 2014 ; reviews by Kravchenko et al 2013 ; Martiello and Giacchi 2010 ; Ye et al 2012 ), hospital admissions among patients seen in the ED ( Pillai et al 2014 ), ambulance/emergency response calls ( Alessandrini et al 2011 ; Hartz et al 2013 ; Nitschke et al 2011 ; Schaffer et al 2012 ; Williams et al 2012a , 2012b ), teleradiology calls ( Brunetti et al 2014 ), and outpatient visits ( Pudpong and Hajat 2011 ). However, only a few studies have considered more than one measure of health effects associated with heat, for a single geographic region, at the same time (e.g., Kovats et al 2004 ; Williams et al 2012a , 2012b ).…”

Section: Introductionmentioning

confidence: 99%

Multiple Trigger Points for Quantifying Heat-Health Impacts: New Evidence from a Hot Climate

Petitti

Hondula

Yang

et al. 2016

Environ Health Perspect

View full text Add to dashboard Cite

BackgroundExtreme heat is a public health challenge. The scarcity of directly comparable studies on the association of heat with morbidity and mortality and the inconsistent identification of threshold temperatures for severe impacts hampers the development of comprehensive strategies aimed at reducing adverse heat-health events.ObjectivesThis quantitative study was designed to link temperature with mortality and morbidity events in Maricopa County, Arizona, USA, with a focus on the summer season.MethodsUsing Poisson regression models that controlled for temporal confounders, we assessed daily temperature–health associations for a suite of mortality and morbidity events, diagnoses, and temperature metrics. Minimum risk temperatures, increasing risk temperatures, and excess risk temperatures were statistically identified to represent different “trigger points” at which heat-health intervention measures might be activated.ResultsWe found significant and consistent associations of high environmental temperature with all-cause mortality, cardiovascular mortality, heat-related mortality, and mortality resulting from conditions that are consequences of heat and dehydration. Hospitalizations and emergency department visits due to heat-related conditions and conditions associated with consequences of heat and dehydration were also strongly associated with high temperatures, and there were several times more of those events than there were deaths. For each temperature metric, we observed large contrasts in trigger points (up to 22°C) across multiple health events and diagnoses.ConclusionConsideration of multiple health events and diagnoses together with a comprehensive approach to identifying threshold temperatures revealed large differences in trigger points for possible interventions related to heat. Providing an array of heat trigger points applicable for different end-users may improve the public health response to a problem that is projected to worsen in the coming decades.CitationPetitti DB, Hondula DM, Yang S, Harlan SL, Chowell G. 2016. Multiple trigger points for quantifying heat-health impacts: new evidence from a hot climate. Environ Health Perspect 124:176–183; http://dx.doi.org/10.1289/ehp.1409119

show abstract

Hot Spot: Impact of July 2011 Heat Wave in Southern Italy (Apulia) on Cardiovascular Disease Assessed by Emergency Medical Service and Telemedicine Support

Cited by 20 publications

References 83 publications

Weather and Temporal Factors Associated with Use of Emergency Medical Services

Weather and Temporal Factors Associated with Use of Emergency Medical Services

Impact of 2020 SARS-CoV-2 outbreak on telemedicine management of cardiovascular disease in Italy

Multiple Trigger Points for Quantifying Heat-Health Impacts: New Evidence from a Hot Climate

Contact Info

Product

Resources

About