This paper gives results pertaining to meteorological influence on AMI reported in the dissertation of the same title submitted to the University of Pune by Dr. D. Sen, M.B.B.S. in May 1995 for the M.D.(Doctor of Medicine) Degree (General Medicine) Branch 1.AMI and surface pressure - AMI and solar activity
Acute myocardial
infraction (AMI) is one of the leading causes of death in adults. The last
two decades have witnessed rapid strides in the management of acute myocardial
infarction. Consequently there is a significant reduction in the mortality
from AMI and most of the death from infarction now occur before medical
care is available. This realization has led to a renewed interest in primary
prevention and the probable triggering factors in the causation of AMI.
Several major studies have demonstrated a circadian (diurnal) variation
in AMI incidence with a peak in the morning hours (Master 1960; Muller
et al. 1985; Gilpin et al. 1990; Ridker et al. 1990; Hansen et al. 1992;
Willich 1990; Levine et al. 1992; Mulcahy et al. 1988; Lucente et al. 1988).
Prominent and reproducible temporal patterns occurring regularly over twenty four hour periods are referred to as circadian rhythms. Many physiological processes exhibit circadian rhythm. A few prominent examples include sleep and wakefulness, blood pressure, growth hormone release etc. (Ganong 1989). This normal circadian rhythm is influenced by both internal control and external factors. The observed diurnal variation in acute coronary syndromes had been attributed to a complex interplay between internal and external factors (Rocco 1990).
Recognition of a circadian rhythm in the onset of acute cardiovascular events suggests the need for enhanced pharmacological protection during the vulnerable periods and provides clues to the mechanisms, the investigation of which may ultimately lead to improved methods of prevention (Muller et al. 1989).
Man is not immune to his meteorological environment. The possible relationship between sudden changes in weather and the development of diseased states has always generated curiosity among physicians and meteorological scientists. There has, however been a paucity of data concerning the association between changes in weather and the development of AMI.
The present study is an attempt to define the circadian variation in symptom onset of AMI with reference to possible modifying factors. The study also examines the correlation between a few meteorological factors, solar activity and the incidence of AMI. All cases of AMI admitted to a leading Institute of Cardiology in Pune, India during the 2-year period June 1992 to May 1994 were used in the study.
The meteorological conditions in the region is classified into the following four major seasons : (1) Winter (DJF : December, January, February), (2) Premonsoon (MAM: March, April, May), (3) Monsoon (JJA : June, July, August), (4) Postmonsoon (SON: September, October, November).
The surface pressure variations and associated weather activity in the region is influenced to a large extent by the seasonal migration of the Intertropical Convergence Zone (ITCZ) which follows the sun from the southern hemisphere in winter to the northern hemisphere in summer. Figure 1 gives the location of ITCZ during January (winter) and July (summer). A brief description of ITCZ is given in the following. From geometrical considerations, the latitude of 23.5° N is called the Tropic of Cancer and the latitude of 23.5° S is called the Tropic of Capricorn. The region between these two sides of the geometrical equator is called the tropical region. However, the weather systems of the two hemispheres are not geometrically fixed like the geometrical latitudes. These move with the sun. During the northern (southern) summer season, the weather systems of both hemispheres shift towards the north (south). The center of the weather systems of the two hemispheres is to the north of the geometrical equator during northern summer and to the south of the geometrical equator during the southern summer. This center of the weather systems is called the meteorological equator or the Inter Tropical Convergence Zone (ITCZ) (Asnani 1993). ITCZ is a region of low pressure associated with cloudy conditions and rainfall. The northward movement of ITCZ into the Indian region from May to July is associated with summer monsoon onset and rainfall. The southward migration of ITCZ from July to November heralds the gradual withdrawal of the summer monsoon over India. The average meteorological conditions during the four seasons are given below.

Figure 2: Climatological normals (1931-1960) for meteorological parameters

The meteorological data used for the study, namely, maximum and minimum temperatures, relative humidity and surface pressure were obtained from India Meteorological Department.
Data relating to cosmic ray index (Climax neutron monitor pressure), geomagnetic aa index, grouped solar flare counts, smoothed sunspot number and 2800 Mhz (10.7 cm) solar flux data were obtained from the publication SOLAR-GEOPHYSICAL DATA, NOAA National Geophysical Data Center, Boulder, Colorado.
The complete data
set (monthly totals/averages) used for the study is given in Table 1.
| Parameter | Jun
1992 |
Jul
1992 |
Aug
1992 |
Sep
1992 |
Oct
1992 |
Nov
1992 |
Dec
1993 |
Jan
1993 |
Feb
1993 |
Mar
1993 |
Apr
1993 |
May
1993 |
Jun
1993 |
Jul
1993 |
Aug
1993 |
Sep
1993 |
Oct
1993 |
Nov
1993 |
Dec
1994 |
Jan
1994 |
Feb
1994 |
Mar
1994 |
Apr
1994 |
May
1994 |
| AMI
(no.) |
16 | 15 | 8 | 18 | 11 | 20 | 12 | 17 | 9 | 9 | 11 | 16 | 10 | 18 | 14 | 16 | 13 | 15 | 8 | 10 | 15 | 14 | 18 | 10 |
| Surface
Pres.(mb) |
942.1 | 942.7 | 944.4 | 945.9 | 948.7 | 949.9 | 953.0 | 951.2 | 950.4 | 948.3 | 947.3 | 945.6 | 943.8 | 942.7 | 945.5 | 946.0 | 949.3 | 950.7 | 951.0 | 946.9 | 948.9 | 948.9 | 947.8 | 945.7 |
| Max.Temp
(°C) |
32.3 | 29.8 | 27.1 | 29.5 | 30.0 | 30.1 | 27.8 | 30.1 | 31.5 | 34.9 | 37.9 | 37.1 | 34.3 | 27.9 | 27.1 | 29.3 | 29.4 | 28.3 | 26.0 | 27.4 | 30.5 | 36.3 | 36.4 | 36.5 |
| Min.Temp
(°C) |
23.4 | 22.8 | 22.0 | 20.3 | 17.7 | 15.6 | 10.5 | 10.8 | 11.7 | 16.3 | 19.0 | 23.4 | 23.8 | 22.9 | 21.7 | 21.0 | 20.8 | 15.4 | 13.5 | 11.9 | 13.2 | 17.0 | 19.8 | 21.6 |
| Relative
Hum. (%) |
67.8 | 77.7 | 84.3 | 78.4 | 73.3 | 67.3 | 64.0 | 60.5 | 48.1 | 43.3 | 34.5 | 47.1 | 66.0 | 81.6 | 82.5 | 79.7 | 81.4 | 66.3 | 74.1 | 68.6 | 56.7 | 39.8 | 47.7 | 53.6 |
| Cosmic
Ray
Index |
3830 | 3891 | 3892 | 3880 | 3941 | 3919 | 3988 | 3961 | 3959 | 3901 | 3955 | 3979 | 4012 | 4026 | 4027 | 4063 | 4073 | 4089 | 4073 | 4080 | 4030 | 4009 | 3999 | 4027 |
| Geomag.
aa index |
24.8 | 17.9 | 24.1 | 35.8 | 27.0 | 25.0 | 26.1 | 31.2 | 27.1 | 37.9 | 29.2 | 22.1 | 21.8 | 18.2 | 19.2 | 23.8 | 24.6 | 25.5 | 24.8 | 26.5 | 43.2 | 37.9 | 40.2 | 40.2 |
| Solar
flare
number |
271 | 413 | 447 | 287 | 325 | 248 | 206 | 123 | 392 | 357 | 262 | 237 | 296 | 154 | 92 | 82 | 167 | 104 | 275 | 217 | 67 | 111 | -- | -- |
| Sunspot
number |
97 | 91 | 84 | 80 | 76 | 74 | 73 | 71 | 69 | 67 | 64 | 60 | 56 | 55 | 52 | 49 | 45 | 41 | 39 | 37 | 35 | 34 | 33 | 33 |
| 2800
MHz
solar flux |
116.7 | 132.2 | 122.1 | 116.8 | 130.8 | 145.2 | 139.1 | 121.0 | 142.6 | 136.4 | 115.9 | 112.3 | 109.3 | 199.0 | 93.7 | 87.0 | 100.3 | 95.9 | 104.8 | 115.0 | 99.6 | 90.4 | 79.1 | 79.9 |
Figure 4 shows the
frequency of occurrence of AMI for the above defined four quarters of the
day. The maximum number of infarcts (38.7%) occurred between 6 a.m. and
12 noon and this was found to be statistically significant.
The hourly frequency
(annual) of occurrence of AMI shown in Figure 5a revealed the occurrence
of a smaller peak in the late evening in addition to the morning peak.
This double oscillation in the circadian rhythm of AMI is seen in the seasonal
averages also (Figure 5b). The circadian rhythms during the four seasons
are significantly correlated to the annual mean circadian rhythm (Table
2). The frequency of occurrence of AMI exhibits a broad maximum with peak
at 10 a.m. and a smaller narrow peak at about 10 p.m.
Figure 5: Circadian
rhythm of AMI - hour to hour variation
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The MILIS study and the study by Fogel and Righthand (1964) failed to show any seasonal variation in incidence.
The most important factor responsible for modifying the onset of myocardial infarction may be the sudden changes in weather (Al Yusuf 1986). The sudden shifts in weather were thought to overtax vasomotor mechanism producing an acute myocardial infarction.
The present study failed to show any statistically significant circ-seasonal rhythm in AMI incidence. Poona has comfortable weather conditions for most parts of the year irrespective of the season and this absence of marked seasonal variation may be responsible for this.
In order to investigate
the association ,if any, between AMI and solar-geophysical parameters,
graphs were drawn between monthly total AMI incidence and month-to-month
variation of mean (a) surface pressure (Figure 7a) (b) cosmic ray index
(Figure 7b) and (c) solar flare counts(Figure 7c). Figure 7d shows the
month-to-month variation of AMI cases and total solar flare counts. It
is seen that AMI incidence follows closely (positive correlation) the month-to-month
variation of mean surface pressure, cosmic ray index and solar flare counts(Figures
7a to 7c).On the other hand ,AMI incidence shows a negative association(correlation)
with total solar flare counts(Figure 7d).Statistical correlation coefficients
were computed and shown in Table 3 for monthly total AMI incidence and
month-to-month variation of mean surface pressure, cosmic ray index and
solar flare counts(Figure 7a to 7c).Table 3 also shows the correlation
coefficient between monthly total AMI incidence and total solar flare counts.


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Incidentally, it is now established that surface pressure fluctuations are closely associated with cosmic rays and solar events such as solar flares, sunspots etc. (Herman and Goldberg 1985).
The close association between month-to-month variability in mean surface pressure and AMI incidence was also reported in a similar study in Bombay , India (Rodrigues and Pinto 1982) where the surface pressure changes and the associated AMI incidence were attributed to the movement of ITCZ (Inter-Tropical Convergence Zone). Teng and Heyer (1955) give reference to observed correlation between number of deaths from cardiovascular diseases and barometric pressure. Kveton (1991) reported that the association between the incidence of AMI and weather fronts were due to the variations in surface pressure.
Though a statistically significant association between AMI and surface pressure variation was demonstrated in the present study, it might not amount to causal association. Larger prospective studies over longer periods are mandatory before causality can be attached.
2. There was no statistically significant seasonal or monthly variation in AMI. Significant correlation was found between the monthly incidence of AMI and month-to-month variation in surface pressure ,cosmic ray index and solar flare counts. The pattern of incidence was seen to be modified by full moon and new moon. No significant correlation was seen with the other meteorological parameters like temperature and relative humidity.
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