Available online at www.sciencedirect.com
Advances in Space Research 51 (2013) 96–106
www.elsevier.com/locate/asr
Helio-geomagnetic influence in cardiological cases
Ch. Katsavrias a,⇑, P. Preka-Papadema a, X. Moussas a, Th. Apostolou b,
A. Theodoropoulou a, Th. Papadima c
a
Department of Astrophysics, Astronomy and Mechanism, Faculty of Physics, University of Athens, Panepistimiopolis Zografos 157 71, Greece
b
St. Panteleimon General Hospital of Nicaea (Piraeus), 3 Mantouvalou, str. 184 54, Greece
c
Evagelismos’ General Hospital of Athens, 45-47 Ipsilantou str. 106 76, Greece
Received 27 July 2011; received in revised form 20 July 2012; accepted 27 July 2012
Available online 6 August 2012
Abstract
The effects of the energetic phenomena of the Sun, flares and coronal mass ejections (CMEs) on the Earth’s ionosphere–magnetosphere, through the solar wind, are the sources of the geomagnetic disturbances and storms collectively known as Space Weather.
The research on the influence of Space Weather on biological and physiological systems is open. In this work we study the Space Weather
impact on Acute Coronary Syndromes (ACS) distinguishing between ST-segment elevation acute coronary syndromes (STE–ACS) and
non-ST-segment elevation acute coronary syndromes (NSTE–ACS) cases. We compare detailed patient records from the 2nd Cardiologic
Department of the General Hospital of Nicaea (Piraeus, Greece) with characteristics of geomagnetic storms (DST ), solar wind speed and
statistics of flares and CMEs which cover the entire solar cycle 23 (1997–2007). Our results indicate a relationship of ACS to helio-geomagnetic activity as the maximum of the ACS cases follows closely the maximum of the solar cycle. Furthermore, within very active
periods, the ratio NSTE–ACS to STE–ACS, which is almost constant during periods of low to medium activity, changes favouring
the NSTE–ACS. Most of the ACS cases exhibit a high degree of association with the recovery phase of the geomagnetic storms; a
smaller, yet significant, part was found associated with periods of fast solar wind without a storm.
Ó 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.
Keywords: Space weather; Magnetic storms; Substorms; Sunspots
1. Introduction
The energetic events of the Sun (flares and coronal mass
ejections (CMEs)) release radiation, energetic particles and
plasma in the interplanetary space; when they are earthbound, they affect the terrestrial environment. The energetic
events induce rapid changes of the solar wind parameters;
the Solar Wind speed can increase from its 400 Km/s
quiet-period near-Earth mean value, to 800 Km/s which is
typical of perturbed periods. This high-speed solar wind
triggers magnetic and ionospheric storms; major triggering,
however, requires also a southward oriented interplanetary
magnetic field, which facilitates reconnection of the solar
wind magnetic field lines with the geomagnetic field. These
magnetospheric disturbances are known as Space Weather
(see Kivelson et al., 1995 for a review). The NASA definition of Space Weather1 is: “ The conditions and processes
occurring in space which have the potential to affect the near
Earth environment. Space Weather processes can include
changes in the interplanetary magnetic field, coronal mass
ejections from the Sun and disturbances in Earth’s magnetic
field. The effects of space weather can range from damage
to satellites to disruption of power grids on Earth”. The magnetospheric response to Space Weather is quantified by
geomagnetic indices. In this work, we use the DST index,
which is an estimate of the magnitude of the geomagnetic
disturbance based on the change of earth’s ring current
(e.g. Kivelson et al., 1995). For values of DST less than
50 nT we have a geomagnetic storm or substorm.
⇑ Corresponding author. Tel.: +30 2107276855.
E-mail addresses: ckatsavrias@phys.uoa.gr (Ch. Katsavrias), ppreka@
phys.uoa.gr (P. Preka-Papadema), xmoussas@phys.uoa.gr (X. Moussas).
1
Space Weather Centre/NASA.
0273-1177/$36.00 Ó 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.
http://dx.doi.org/10.1016/j.asr.2012.07.030
Ch. Katsavrias et al. / Advances in Space Research 51 (2013) 96–106
97
Fig. 1. Top to bottom: annual distribution of ACS (ST and NST), CMEs and partial-halo CMEs, flares and intense flares (X–M flares) as well as B flares
(three upper panels). Annual number of storms, their total annual duration, the annual DST maximum value and their product (four lower panels).
The influence of Space Weather on biological and
physiological systems is important. The geomagnetic field
variations (from helio-geomagnetic disturbances) seem to
affect, directly or indirectly, the human physiology and
health (Palmer et al., 2006); this has been an open research
objective for the last three decades. Possible mechanisms
linking solar and geophysical parameters to human health
have been proposed (Cherry, 2002). The study of the effects
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Fig. 2. Monthly number of ACS–NST (a) and ST (b), sunspots (c), flares (d), X–M flares (e), B flares (f), CMEs (g), P–H CMEs (h) and B–C flares (j). The
grey curves represent Savitzky–Golay smoothing with a window of 12 points.
Table 1
Pearson’s product moment correlation coefficients.
Parameters
Coefficients
Comments
NST–CME’s
NST–XM flares
ST–B flares
NST–CME’s
NST–XM flares
ST–B flares
0:79 0:00
0:66 21016
0:66 41016
0:86 0:00
0:83 0:00
0:77 0:00
Monthly
Correlation coefficients
(12 months’ time lag)
Monthly
Correlation coefficients
(18 months’ time lag)
of helio-geomagnetic disturbances on health includes the
statistical analysis of a plethora of data sets; the results corroborate the association between them:
Palmer et al. (2006) report that 75% of geomagnetic
storms are followed by an increase by 50% of hospital
cardiological and neurological cases.
Breus et al. (1989) point to a correlation between heart
attacks in Moscow and helio-geomagnetic activity.
Cornélissen et al. (2002) indicate that death-rate due to
heart attacks increases by 5% in Minnesota USA at
the maximum of the solar cycle.
Stoupel et al. (2005) draw attention to the relationship
between the death-rate (especially acute myocardial
infractions (AMI)) and space weather. Along the same
line (Stoupel et al., 2007) show that the monthly rates
of AMI (1983–1999 and 2003–2005) are correlated with
cosmic ray activity; the latter is anti-correlated to solar
sunspot activity. These results are corroborated by
Chernouss et al. (2001) and Belov et al., 1998 which
present the influence of space weather on the neurological system and brain disruptions.
Specific studies in Israel (Stoupel et al., 1995), Italy
(Gavryuseva and Kroussanova, 2002), Bulgaria
(Dimitrova, 2006), Mexico and Cuba (Mendoza and
Diaz-Sandoval, 2004) provide evidence in support of
the Space Weather–Health relation.
Stoupel et al. (1995) as well as Dorman et al. (2001)
report increased accident rate due to helio-geomagnetic
activity.
Ch. Katsavrias et al. / Advances in Space Research 51 (2013) 96–106
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Fig. 3. Correlation coefficients with 12 months’ time lag between smoothed monthly values of: NST cases and CMEs (a), NST cases and X–M flares (b),
ST cases and B flares (c). Correlation coefficients with 18 months’ time lag between smoothed monthly values of: NST cases and CMEs (d), NST cases and
X–M flares (e), ST cases and B flares (f). The dash ellipse represents the confidence level which is above 99%.
This work examines the helio-geomagnetic activity–health
condition relationship focusing on an extended record of
Coronary Artery Disease (CAD) cases in Greece covering
the solar Cycle 23 (1997–2007); those CAD cases are
associated with high mortality and morbidity. The clinical presentation of CAD includes silent ischemia, stable
angina pectoris, unstable angina, myocardial infarction
(MI), heart failure and sudden death. The MI, unstable
angina and silent ischemia consist Acute Coronary Syndromes (ACS) (Kremastinos, 2005; Hamm et al., 2011)
and they share a widely common pathophysiological substrate. The pathophysiological mechanism is formed by
the under perfusion of myocardial, due to important
minimization of the blood flow in the coronary arteries,
resulting in the partial or fully necrosis of myocardium.
Such a state can be caused when an atherosclerotic plaque ruptures or erodes, leading to different degrees of
superimposed thrombosis and distal embolization. The
latter may lead to electrical instability which may, in
turn, cause ventricular tachycardia or fibrillation and
may end to sudden death. The leading symptom that initiates the diagnostic and the therapeutic cascade is chest
pain, but the classification of patients is based on the
electrocardiogram (ECG). Based on the morphology of
ECG there are two categories of patients:
Patients with acute chest pain and persistent (P20 min)
ST-segment elevation: The ST-segment elevation is identified by the presence of P1 mm ST elevation in at least
two adjacent limb leads, P2 mm ST elevation in at least
two contiguous pecordial leads or new onset bundle
branch block. This is termed ST elevation ACS (STE–
ACS) and generally reflects an acute total coronary
occlusion which, mostly, develop a ST elevation MI
(STEMI).
Patients with acute chest pain but without persistent STsegment elevation: They exhibit a persistent or transient
ST-segment depression or T-wave inversion, flat T
waves, pseudo-normalization of T waves, or no ECG
changes are presented. This is dubbed non-ST-elevation
ACS (NSTE–ACS) and the diagnosis is based on the
measurement of troponine enzyme. Abnormal troponine
level qualifies the situation as a non-ST- elevation MI
(NSTEMI), otherwise is managed as an unstable angina.
Also, a NSTEMI event can be caused by dynamic
obstruction (eg.Vasospasm) and extrinsic factors leading
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Table 2
Dates of increased number of NST (P5) and ST (P4) cases (per day)
during storm recovery phase for the three periods examined in Section 3.
Increased NST–ST are marked by .
Date
NST
6/8/2002
ST
Multiple storm 3–29/9
5/9/2002
11/9/2002
Date
NST
24/8/2002
9/9/2002
19/9/2002
Multiple storm 3–17/10
3/10/2002
14/10/2002
5/10/2002
17/10/2002
Double storm 23/10–17/11
29/10/2002
16/11/2002
10/11/2002
Double storm 17/11–18/12
22/11/2002
10/12/2002
4/12/2002
Multiple storm 18/12–9/1
22/12/2002
9/1/2003
26/2/2003
2/11/2003
8/11/2003
4/12/2003
10/3/2005
7/4/2005
14/4/2005
Multiple storm 6/5–8/7
10/5/2005
26/5/2005
16/6/2005
Multiple storm 21/8–25/9
26/8/2005
3/1/2003
ST
16/10/2003
6/11/2003
2/12/2003
21/2/2005
11/3/2005
10/4/2005
28/4/2005
19/5/2005
9/6/2005
21/6/2005
8/9/2005
to poor coronary perfusion (eg.hypotension, hypervolaemia or hypoxia). NSTEMI and unstable angina represent the majority of ACS.
In this study, we examine the relationship between heliogeomagnetic activity and NSTE–ACS and STE–ACS in
Greece for the whole solar cycle 23. We use the 1997–
2007 patients records from the St. Panteleimon General
Hospital of Nikaea (Piraeus, Greece).
2. Data selection and analysis
In this work we used data from the following databases:
OMNIWEB2: For the number of sunspots (Rz), the
solar wind speed (VSW ) and the geomagnetic index DST
NGDC3 GOES: For the daily number of solar flares by
intensity class (intense solar flares of X and M class,
henceforward X–M and weak flares of B and C class,
henceforward B–C).
2
3
http://omniweb.gsfc.nasa.gov/.
http://ftp.ngdc.noaa.gov/stp/.
Table 3
Dates of increased number of NST (P5) and ST (P4) Cases (identified by
) Outside storm recovery phase (includes pre-phase, Main-phase and
intervals of increased VSW without storm and some unclassified). The
results cover the three periods examined in Section 3.
Date
NST
Main phase
24/10/2002
13/9/2005
Pre–phase
18/8/2002
27/1/2003
15/2/2005
Unclassified
13/1/2003
3/2/2005
21/7/2005
18/11/2005
18/12/2005
Solar wind speed
18/12/2003
26/12/2003
8/8/2005
13/10/2005
30/11/2005
ST
Date
NST
20/11/2003
21/1/2003
27/10/2003
5/5/2005
ST
14/11/2003
17/3/2005
25/10/2005
24/11/2005
19/12/2005
(P600 Km/s)
20/12/2003
29/3/2005
20/8/2005
6/11/2005
1/12/2005
SOHO/LASCO4: For the daily number of CMEs
(including the highly geoeffective Full and Partial Halo
(width P200 degrees) hence P-H CMEs). There are
two data gaps in this database in 25/6/1998–14/10/
1998 and 1/1/1999–4/2/1999.
The patient records of the 2nd Cardiologic Department
of the General Hospital of (Piraeus) ‘St. Panteleimon’,
Greece: For the daily number of ACS cases, STE–
ACS and NSTE–ACS (hence ST and NST respectively)
Our data sets cover the Solar Cycle 23 from January 1st,
1997 to December 31st, 2007. We calculated the Pearson’s
Product Moment Correlation Coefficient (Benesty et al.,
2009) which gives an indication on the strength of the linear relationship between two random variables X and Y.
X
r ¼ 1=ðn 1Þ ðððX i X Þ=sX ÞððY i Y Þ=sY ÞÞ
ð1Þ
i
Where ðX i X Þ=sX , X and sX are the standard score, sample mean, and sample standard deviation respectively. If
r(X,Y)=0, then X and Y are said to be uncorrelated (or linearly independent as a special case). The closer the value of
r(X, Y) is to 1, the stronger the correlation between the two
variables. For a non-linear dependency of X, Y, however,
the coefficient may, also, be equal to zero.
The solar activity cycle is quantified by the number of
sunspots which is correlated with the flare and CME rate.
The solar cycle 23 started in 1996–1997 and ended in
2006–2007 with maximum within 2000–2002. Surprisingly
there were two very active periods, with strong flares and
fast CMEs, during the decay phase of the solar cycle; these
4
http://cdaw.gsfc.nasa.gov/.
Ch. Katsavrias et al. / Advances in Space Research 51 (2013) 96–106
101
Fig. 4. Daily number of DST index, solar wind speed (VSW ) and ACS (NST and ST) cases during the period August 2002–February 2003. The red curve
represents the smoothed values (Savitzky–Golay smoothing with a window of 7 days). The ACS cases come from the database of General Hospital of the
town of Nicaea (Piraeus) ‘St. Panteleimon’.
Fig. 5. Daily distribution of DST and date labels of increased of NST (P5) and ST (P4) cases in 1/8/2002–8/2/2003). Time t is in days after 1/8/2002 for
all panels.
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Fig. 6. Same as Fig. 4 for the period October–December 2003.
Fig. 7. Daily distribution of DST and date labels of increased of NST (P5) and ST (P4) cases in 1/10/2003 to 31/12/2003; t is in days after 1/10/2003.
are the extremely active intervals of October-November
2003 (Alissandrakis et al., 2005) and of January 2005 (Bouratzis et al., 2006). Flares and CMEs were recorded
throughout the 11 years cycle triggering disturbances in
the terrestrial magnetosphere.
In Fig. 1 (Three upper panels) we present the annual distribution of the number of flares and CMEs during the
years 1997–2007, including the distribution of X–M type
flares and P-H CMEs. In Fig. 1 (four lower panels), on
the other hand, the magnetospheric disturbances are
depicted. These include the annual number of geomagnetic
storms and substorms (DST 6 50 nT), total storm duration per year, the DST peak of each year, and the product
of DST peak times total storm duration multiplied by the
annual number of storms (bottom panel); the product represents a phenomenological quantification of geomagnetic
activity for each year and is used in comparisons between
years.
The SOHO/LASCO data included 12278 CMEs of
which 6215 were of the Partial-Halo or Halo (P–H in this
work) group (51%). There were 12019 GOES SXR flares
of which 1173 X–M class (9%). The CME and flare rate
reached annual peak in 2000–2002 which roughly coincides
with the solar cycle maximum. However, when examined
by category (or class) there was some differentiation
regarding the peak times. For the flares the peak was in
2000–2001 (1400 flares); the X–M flares, however reached
their maximum rate (250) in 2002. In the same year the
number of CMEs and P–H CMEs peaked at 1740 and
850 respectively. Surprisingly, in the decay phase, the
annual number of flares increases to 1950 in year 2004
and 1800 in the year 2005; the strong to medium (X–M)
flare do not follow this trait dropping in numbers as
expected. Therefore this irregular increase is due mainly
to a large number of weak flares. The CME rate, also
increases a little in 2005 (1247) and more in 2007 (1441).
The irregular increases in flares and CMEs correspond to
an increase of geomagnetic activity as recorded in OMNIWEB. We had 19 GMS with total duration of 63 days in
2002 (coincides with the CME peak in the same year)
Ch. Katsavrias et al. / Advances in Space Research 51 (2013) 96–106
103
Fig. 8. The same as Fig. 4 for the year 2005.
and 21 GMS with total duration of 51 days in 2005 (coincides with the CME peak of 2005); the peaks of DST , on the
other hand, appear at 2001, 2003 and 2004.
The full record of ACS cases includes 5160 NSTE–ACS
(NST) and 2638 STE–ACS (ST); the NST cases were 62–
64% of the total. In the years 2001–2004, however, the
NST reached 69–74% (74% in 2003); these are depicted in
the three top panels of Fig. 1.
In Fig. 2 we present monthly distributions of the number of: sunspots (Rz), flares, X–M flares, B flares, B–C
flares, CMEs and P–H CMEs and ACS (ST and NST)
cases; we have smoothed our data using a Savitzky–Golay
filter with a window of 12 points. The maximum number of
flares per month (185) was recorded in August 2001; the
strong–medium (X–M) flare number, however, peaked in
July 2000 (37), September 2001 and August 2002 (36).
The maximum number of CMEs per month was also
recorded in August 2002 (177) coinciding with one of the
X–M peaks. The halo-partial halo (P–H) CMEs exhibited
maxima in September 2002 (89), June 2000 (91) and March
2001 (92) near the X–M peaks. There was an important
secondary maximum of flare number in January 2005
(217 flares), during the unusual active period mentioned
at the beginning of this section; there was another unexpected secondary peak of CMEs and P–H CMEs within
the solar minimum in April 2007 (161 and 90 respectively).
We calculated the Pearson’s Product Moment Correlation Coefficient between the cardiological cases (NST, ST
separately) and solar and geomagnetic activity parameters
in order to specify their relationship. The results are summarized in Table 1 and Fig. 3. We restrict our presentation
to correlations coefficients exceeding 50% with significance
level above 99%. Best results were obtained with
12 months’ time lag for the cardiological cases. The
smoothed values of CMEs and NST are fairly well corre-
lated (0:79 0:00, see Fig. 3(a)), same holds for NST cases
and X–M flares (0:66 21016 , see Fig. 3(a)), and number
of B flares and ST cases(0:66 41016 , Fig. 3(c) with
12 months lag for the ST and NST). We also calculated
the same correlation coefficients using a 18 months’ time
lag with similar results (see Table 1 and 3(d)–(f)).
3. A detailed study of the relationship between cardiological
cases and helio-geomagnetic activity in three characteristic
periods of Solar Cycle 23
Based on the discussion of the previous section, we focus
on characteristics periods of the solar cycle 23 as marked
by peaks in active phenomena. We proceed therefore to
analyze in more detail three interval of interest as follows:
The August–September 2002 peak: In this period appear
the number of CMEs maximum, the number of P–H
CMEs and the number of X–M flare peaks. Shortly
after, in October 2002 the global maximum of NST
cases (72) is recorded; a little later in November 2002
an ST monthly peak (32) is recorded. This was deemed
significant as only 6 times after 2002 ST exceeds 32.
The Active Period October–December 2003 (Halloween
Events): The most intense GMS of cycle 23 (220 nT)
was recorded in October 30, 2003, within a period of
extremely high helio-geomagnetic activity5 at the beginning of the decline phase of the solar cycle.
The year 2005: Although it was near the solar minimum,
the quiet interval was interrupted by a period of extreme
helio-geomagnetic activity in January 2005 with the
5
There were Solar Energetic Particle events and three Ground Level
Enhancements of Cosmic Rays in October 28 and 29 and in November 2,
2003.
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Fig. 9. Daily distribution of DST and date labels of increased of NST (P5) and ST (P4) cases in 1/1/2005–31/12/2005; t is in days after 1/1/2005 for all
panels.
maximum GLEs (Ground Level Enhancements of Cosmic Rays) of the past decades and a period of increased
geomagnetic activity in April–September. This succession of intense, medium and small activity presents a
unique opportunity of comparative study of the impact
of this activity on ACS.
For each period of interest we compare the variations of
DST and VSW to the daily number of NST and ST cardiological cases from our records; Savitzky–Golay 7-day
smoothing is used in order to eliminate the 7 days periodicity of the hospital duty cycle. The NST–ST daily number
is characterized as increased when daily numbers are
greater than 5 for NST and greater than 4 for ST. These
increased cases are in excess of the average for each period.
The days with increased NST-ST rate are summarized in
Table 2 for the recovery phase of geomagnetic storms (single or multiple) and in Table 3 for increased rate outside
recovery phase. This includes dates within the pre-phase
or the main-phase of storms as well as dates of increased
VSW without storm and some unclassified recordings.
3.1. The August–September 2002 peak
The variations of DST and VSW and the daily numbers of
NST and ST are presented in Fig. 4 for comparison. In
Fig. 5 we show details of the DST variation annotated by
the days with increased NST-ST rate. We note increased
Ch. Katsavrias et al. / Advances in Space Research 51 (2013) 96–106
NST during September–October 2002 and ST during October–November 2002. This is near the peak of cycle 23 heliogeomagnetic activity as indicated by the DST and VSW . As
second period of increased NST-ST rate appears in January
2003 (mostly NST); the origin of this peak is somewhat
unclear as increased cases during and after Christmas and
New Year’s Eve are always expected. It coincides, however,
with increased helio-geomagnetic activity within the past
months and with very high VSW (exceeding 700 Km/s). At
this point we note that the fast solar wind is not always
accompanied by storm (in cases when magnetospheric field
lines do not open and reconnect usually when Bz is negative); there is however increased ST–NST rate in this case
too. From Fig. 5 the 80% of increased NST-ST rates appear
during the recovery phase of storms.
3.2. The active period October–December 2003
In Fig. 6 we present DST , VSW and numbers of NST and
ST per day. In Fig. 7 we mark the days with increased NSTST rate on the DST time series. There are four intense storms
in mid October, at the end of October (the most powerful
GMS of solar cycle 23), at the beginning of November
and after mid November. This period is associated with
increased NST cases from mid October until the end of
December. There are also increased ST cases although there
are fewer. In this period the 50% of increased NST-ST rates
appears during the recovery phase of storms (Fig. 7, Table
2). A number of increased ACS (NST–ST) cases (18, 20 and
26/12/2003) do not coincide with storm but follow a period
of high speed solar wind (9–15/12/2003).
3.3. The year 2005
The DST , VSW and ACS (NST–ST) relationship are in
Fig. 8 with details of increased NST–ST rate compared to
DST in Fig. 9. Extreme helio-geomagnetic activity was
recorded in January 2005, accompanied by the largest
GLEs of the past decades and was followed by a period
of increased activity in April–September; there were no
GMS after September. Within January 2005, a number of
GMS with duration of 10 days, a Solar Energetic Particle
event (SEP) and two GLEs (17 and 20) occured. During
the following period high geomagnetic activity including
multiple powerful GMS was recorded; in May 2005, the
DST peak of 2005 was observed. Increased ACS rate follows this activity; the number of ST cases increases in January and February and NST increase in March. Within
April, ACS (ST–NST) numbers drop increasing again after
the end of the month (NST in particular), following
increasing GMS activity and culminating at the peak of
May. After a drop in June–July, a new increased rate of
ACS numbers is recorded in October 2005; this is, probably, related to the increased GMS within September.
Within the quiet October–December interval, however, a
surprising enhancement of the ST rate appears in November 2005; it included 40 cases within this month which is
105
twice the mean number of ST per month and the peak of
cycle 23. Despite the absence of storms, high-speed solar
wind was recorded. We note, at the same period, an unusually fast drop of the monthly number of flares. In 118 flares
were recorded in August, 40 in September, only 1 in October but 148 flares in November.
From Fig. 9 the 45% of increased NST–ST rates appear
during the recovery phase of storms and 21% within the
high-speed solar wind interval.
4. Discussion and conclusions
In this report we have performed a long–term analysis of
the relationship of helio-geomagnetic activity to Acute
Coronary Syndromes (ACS) including both STE–ACS
(ST) and NSTE–ACS (NST) cases separately. This study
covered the 23d solar cycle (1997–2007); it was focused,
mostly, on certain periods of the solar cycle 23 where the
activity or its variation were quite pronounced. The results
are summarized as follows:
The STE–ACS (ST) and NSTE–ACS (NST) cases are
related to the helio-geomagnetic activity but, in detail,
this relationship may be somewhat different. The calculated correlation coefficient using smoothed monthly
values when the ACS time-series was lagging by 12
months behind the helio-geomagnetic activity are:
0:79 0:00 between CMS and NST, 0:66 21016
between NST–intense flares (X and M) and
0:66 41016 between ST–faint flares (B type).
Using annual values of the NST/ST cases we find an
almost constant ratio of 62–64% which increases
towards periods on increased solar activity (2001–
2004) reaching a peak of 74% in 2003.
The maximum of NST cases (72) were recorded in October and January 2003. The second, in magnitude, peak
of ST cases (32), on the other hand, appeared in November 2002. This supports time coincidence between
increased ACS cases and strong helio-geomagnetic
activity as the peak of this activity took place in
August–September 2002 as presented in 3.1. The maximum number of ST cases in November 2005 (40) coincides, in time, with the unusual fluctuation of the
number of flares discussed in 3.3.
In the period October–November 2003 (subSection 3.2)
the strongest recorded GMS had a duration of 5 days
where the DST peaked at 220 nT. A less strong
(120 nT) but of longer duration (18 days) GMS occured October 2002 (subSection 3.1). A comparison of
the effects of these two storms indicates that the ACS
reach maximum in October–November 2002 as mentioned above. This suggests that the health effects of geomagnetic activity are cumulative as they appear to
depend on duration.
For the three periods of interest examined in Section 3
we have studied the phase (pre-phase, main, recovery)
of the storm that coincides with increased ACS cases.:
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– 60% of increased ACS cases coincide with the storm
recovery phase; the probability rises to 75% for the
NST cases. (see Table 2)
– Only 3 dates (4.5%) with increased ACS cases took place
at the main phase (see Table 3).
– 6 dates (9% of the increased cases took place at the prephase of the storms (see Table 3).
– From Table 3, we note a significant number of increased
ACS cases (15%) in periods of high solar wind speed
(P600 Km/s) without geomagnetic storms.
These results corroborate the geomagnetic effects on cardiological cases (Palmer et al., 2006 and references therein);
the availability of accurate hospital records covering decades, supports a detailed analysis, in the future, in order
to improve the statistics and secure the conclusions.
Acknowledgements
This work was supported in part by the University of
Athens research center (ELKE/EKPA). The authors
appreciate discussions with Alexander Hillaris and critical
reading of the manuscript by George Xystouris. They also
acknowledge the suggestions and recommendations of the
two anonymous referrees which lead to improvements in
the quality of this report.
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