Literature DB >> 23471350

The influence of sensitisation to pollens and moulds on seasonal variations in asthma attacks.

Cristina Canova1, Joachim Heinrich, Josep Maria Anto, Benedicte Leynaert, Matthew Smith, Nino Kuenzli, Jan-Paul Zock, Christer Janson, Isa Cerveri, Roberto de Marco, Kjell Toren, Thorarinn Gislason, Dennis Nowak, Isabelle Pin, Matthias Wjst, Jure Manfreda, Cecilie Svanes, Julian Crane, Michael Abramson, Michael Burr, Peter Burney, Deborah Jarvis.   

Abstract

No large study has described the seasonal variation in asthma attacks in population-based asthmatics in whom sensitisation to allergen has been measured. 2,637 young adults with asthma living in 15 countries reported the months in which they usually had attacks of asthma and had skin-prick tests performed. Differences in seasonal patterns by sensitisation status were assessed using generalised estimating equations. Most young adults with asthma reported periods of the year when their asthma attacks were more common (range: 47% in Sweden to 86% in Spain). Seasonal variation in asthma was not modified by sensitisation to house dust mite or cat allergens. Asthmatics sensitised to grass, birch and Alternaria allergens had different seasonal patterns to those not sensitised to each allergen, with some geographical variation. In southern Europe, those sensitised to grass allergens were more likely to report attacks occurred in spring or summer than in winter (OR March/April 2.60, 95% CI 1.70-3.97; OR May/June 4.43, 95% CI 2.34-8.39) and smaller later peaks were observed in northern Europe (OR May/June 1.25, 95% CI 0.60-2.64; OR July/August 1.66, 95% CI 0.89-3.10). Asthmatics reporting hay fever but who were not sensitised to grass showed no seasonal variations. Seasonal variations in asthma attacks in young adults are common and are different depending on sensitisation to outdoor, but not indoor, allergens.

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Year:  2013        PMID: 23471350      PMCID: PMC3787817          DOI: 10.1183/09031936.00097412

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

As far back as the fifth century BC Hippocrates noted seasonal variation in exacerbations of asthma [1]. Seasonal patterns have been described for asthma mortality, hospital admissions and emergency department visits [2-5], the variation being ascribed to seasonal variation in exposure to ambient allergens, respiratory infections and meteorological changes [4, 6]. In older adults, asthma mortality and hospital admissions are more common during the winter months (possibly explained by infections), and in the younger adult population (a “more atopic” generation) are more common in periods of high ambient allergen load (grass in the spring and summer; mould in the late summer and autumn) [7]. However, to date, no large study has described seasonal variation in population-based asthmatics who also have information on IgE sensitisation. Small panel studies suggest asthma severity is worse in the pollen season in those sensitised to grass [8, 9] and in winter in those sensitised to house dust mite [10]. Asthmatics presenting to accident and emergency departments in Spain in early summer (May–June) were more likely to be sensitised to grass than those presenting in other months [11]. Similarly, mild, near fatal and fatal asthma has been associated with sensitisation to Alternaria in months where Alternaria levels are high [12, 13]. In this report we use information collected from participants in the European Community Respiratory Health Survey (ECRHS), a large multicentre international study of young to middle-aged adults living in differing climatic regions and in countries with marked variation in the prevalence of sensitisation to environmental allergens [14]. The aim is to describe seasonal variation in asthma exacerbations in those who are and are not sensitised to aeroallergens, to quantify the risk and to assess whether seasonal patterns are consistent between countries.

Material and methods

The ECRHS I [15] recruited a random sample of at least 3000 adults aged 20–44 years, identified from a population-based sampling frame in each participating centre. Each was sent a postal questionnaire and a random sample of responders plus a sample of those with symptoms suggestive of asthma (symptomatic sample) were invited for further tests. The postal survey, the clinical interview (at which skin-prick tests (SPTs) were performed and blood samples taken) and the testing of samples for serum IgE were conducted between 1991–1993. Overall, 41 centres in 16 countries and on three continents (Europe, North America and Australasia) followed the full protocol. Of the 24 115 participants (random and symptomatic sample), 3353 (13.9%) reported they “ever had asthma”. Of the participants that reported they “ever had asthma” 3151 (94.0%) provided a complete response to the question “Which months of the year do you usually have attacks of asthma?” (with a response of “no” or “yes” to each of the six bimonthly periods: January/February, March/April, May/June, July/August, September/October and November/December). Overall, 2709 (86%) had SPTs. In one centre (Iceland), the number of asthmatics with positive SPTs was insufficient for statistical analysis, leaving 2637 asthmatics with information on seasonality and SPTs (2023 with serum specific IgE and total IgE measures) (online supplementary figure S1). SPTs to Timothy grass, Dermatophagoides pteronyssinus (house dust mite), cat, Cladosporium herbarum, Alternaria alternata, birch and common ragweed were performed using Phazets, lancets precoated with standardised lyophilised allergen extracts (Pharmacia Diagnostics AB, Uppsala, Sweden). SPTs were considered positive if the mean wheal diameter (MWD) was >0 mm [16]. Serum samples were tested for specific IgE (Timothy grass, house dust mite, cat and Cladosporium plus birch in Northern Europe, Parietaria in Southern Europe, and ragweed in Australia and the USA) using the Pharmacia CAP System (Pharmacia Diagnostics AB). Sensitisation was considered present if serum IgE was >0.35 kU·L−1. Due to regulatory and ethical constraints, SPT to Timothy grass was not performed in Germany. Ethical permission to conduct the study was granted by local ethics committees within each participating centre.

Statistical analysis

Each participant was considered to have taken part in six surveys: one asking if they experienced asthma attacks in January/February, another in which they were asked whether they experienced attacks in March/April and so on. A marginal logistic regression model for binary outcomes, based on generalised estimating equations, was used to generate the risk of reporting a particular 2-month period was associated with attacks of asthma (with January/February as the reference category). This method, which is appropriate for dealing with longitudinal and other correlated binary response data, generates robust estimators regardless of the specification of the covariance matrix and, as autocorrelation is included in the covariance, coefficients can be interpreted as usual. The bimonthly periods were shifted 6 months forward for Australian and New Zealand centres to allow seasonal comparison across the two hemispheres. To examine whether these patterns were different in those who were and were not sensitised, an interaction term (positive SPT to specific allergen no/yes × the six bimonthly periods) was included giving a total of five interaction terms for each model. Where there was evidence of effect modification by sensitisation, analyses were repeated stratified by sensitisation status. Throughout, adjustments for age, sex and sensitisation to the allergens not under assessment (four of house dust mite, grass, cat, Alternaria and birch) were included. Analyses were conducted within countries, but as there were insufficient data within each country to identify patterns clearly, results from each country were combined using meta-analytical techniques. Risk estimates for each country within each of the three continents were combined in a random effects meta-analysis [17] and heterogeneity tested using the Q statistic and I2. As there was evidence of heterogeneity in Europe, European countries were further divided into central/north Europe and south Europe (defined by ±50° latitude). As this geopolitical method of division Europe may not fully capture pollen exposures, we also interrogated pollen maps (www.pollenwarndienst.at) to divide countries into those with 1) Poaceae season starting before and after May or June and 2) countries where peak birch season levels were >70.0 grains·m−3 (online supplementary table S1–2). In sensitivity analyses, this was repeated, defining a positive SPT by MWD ≥3 mm, with sensitisation based on serum IgE measures (using both >0.35 and >0.70 kU·L−1 cut-offs), with the sample restricted to asthmatics who reported symptoms (wheezing, chest tightness, attack of shortness of breath coming on during the day at rest and waking with shortness of breath) or the use of asthma medication in the last 12 months (n=2423, 92%), and with inclusion of an adjustment for the month of interview. Effect modification of seasonality of asthma attacks by high total IgE (>100 kU·L−1) and reported “hay fever or nasal allergies” was also assessed. All analyses were undertaken in Stata IC 10.1 (Stata software version 10.1; Stata Corp., College Station, TX, USA).

Results

Table 1 shows the number (range: 43 in Ireland to 387 in Canada), age and sex distributions of participants with self-reported asthma in each country. Of these, 93% reported “physician diagnosed asthma”. The proportion of asthmatics sensitised to each allergen varied between countries in a pattern broadly similar to that previously reported in the general population (table 1) [14]. Allergic sensitisation to allergens associated with vegetation (grass and birch), indoor allergens (cat and dust) and moulds (Alternaria) was prevalent in all countries. However, the prevalence of sensitisation to Cladosporium was low in all countries except the USA (n=12, 18%), Canada (n=57, 15%), Sweden (n=51, 14%) and the UK (n=46, 13%). Similarly, the prevalence of sensitisation to ragweed was low in most countries except Canada (n=104, 27%), the USA (n=11, 16%) and the UK (n=16, 4%). The small number of participants precluded inclusion of the USA in analyses of variation by these two allergens.
Table 1–

Demographic characteristics and the proportion of asthmatics with positive skin-prick test to each allergen, by country (ordered by latitude)

Country Subjects n Females % Age Dust mite Timothy grass Cat Birch Alternaria
Southern Europe
 Spain1905331.7±7.382 (43)53 (28)32 (17)11 (6)9 (5)
 Italy885232.9±6.927 (31)41 (47)20 (23)19 (22)12 (14)
 France2735133.1±7.6146 (53)113 (41)83 (30)33 (12)41 (15)
 Switzerland1225131.8±6.737 (30)75 (61)37 (30)58 (48)11 (9)
Northern Europe
 Germany635134.3±7.423 (37)28# (44)22 (35)23 (37)6 (10)
 Belgium645033.1±7.056 (88)23 (36)21 (33)11 (17)7 (11)
 The Netherlands514934.3±7.934 (67)16 (31)9 (18)11 (22)2 (4)
 Ireland435632.1±7.036 (84)12 (28)7 (16)1 (2)3 (7)
 UK3665733.2±7.0217 (59)179 (49)131 (36)44 (12)84 (23)
 Sweden3545632.7±7.5107 (30)165 (47)219 (62)167 (47)48 (14)
 Norway604833.1±6.613 (22)18 (30)16 (27)17 (28)2 (3)
North America
 USA674933.6±6.836 (54)31 (46)31 (46)18 (27)23 (34)
 Canada3876133.1±7.0215 (56)143 (37)175 (45)89 (23)85 (22)
Australasia
 New Zealand3035734.3±6.9205 (68)148 (49)67 (22)54 (18)38 (13)
 Australia2055333.6±6.8150 (73)111 (54)73 (36)19 (9)39 (19)
Total 26375533.2±7.11384 (53)1128 (44)943 (36)575 (22)410 (16)

Data are presented as mean±sd or n (%), unless otherwise stated. Centres: Spain (Barcelona, Galdakao, Albacete, Oviedo and Huelva); Italy (Pavia, Turin and Verona); France (Paris, Grenoble, Bordeaux and Montpellier); Switzerland (Basel); Germany (Hamburg and Erfurt); Belgium (Antwerp City and South Antwerp); Netherlands (Groningen, Geleen and Bergen-op-zoom); Ireland (Dublin); UK (Ipswich, Norwich, Cambridge and Caerphilly); Sweden (Uppsala, Umea and Gothenburg); Norway (Bergen); USA (Portland); Canada (Winnepeg, Vancouver, Hamilton, Montreal, Halifax and Prince Edward Island); New Zealand (Wellington, Christchurch and Hawkes Bay); Australia (Melbourne). #: based on serum IgE measurement.

Table 2 shows the proportion of asthmatics who, when asked, reported their attacks of asthma usually occurred at specific times of the year and the adjusted odds ratio of reported asthma attacks in each bimonthly period. In most countries, most participants reported seasonal variation in their asthma (range: 47% Sweden to 86% Spain; median: 70% in France, Switzerland, New Zealand). In some countries, there was no clear overall seasonal pattern (e.g. France, Ireland, Germany and Norway), whereas in many countries (e.g. Spain, Italy, Switzerland, Belgium, Sweden, the USA and Australia) a significant increased risk of reported asthma attacks was seen in the spring or summer months (March/April and May/June) compared to winter ones. In contrast, there was an overall decreased risk of asthma in the summer months in the Netherlands, the UK, Canada and New Zealand (i.e. asthmatics reported their attacks of asthma usually occurred in winter).
Table 2–

The proportion of participants with information who reported their asthma attacks occurred at specific bimonthly periods of the year and the adjusted odds ratio of reporting that asthma attacks usually occur in a given bimonthly period by country#

Country Asthma attacks at specific bimonthly periods % OR Jan/Feb OR March/April OR May/June OR July/Aug OR Sept/Oct OR Nov/Dec
Spain 861.00 1.54 0.940.470.901.11
Italy 851.001.54 2.44 1.100.810.81
France 701.000.971.060.74 0.67 0.88
Switzerland 701.00 1.74 2.36 1.181.070.97
Germany 761.001.051.150.951.051.15
Belgium 671.001.57 2.35 1.79 2.05 1.91
The Netherlands 751.001.00 0.37 0.34 0.851.09
Ireland 791.000.350.440.820.741.11
UK 611.00 0.63 0.840.97 0.72 1.00
Sweden 471.001.09 1.48 1.040.911.09
Norway 501.000.860.741.180.860.74
USA 721.000.83 2.38 1.001.060.89
Canada 791.00 0.70 0.810.800.790.91
New Zealand 701.00 0.71 0.45 0.37 0.44 1.00
Australia 591.00 1.66 1.070.770.590.81

Odds ratio coefficients from generalised estimating equations models controlling for repeated individual observations, sex and age. #: without consideration of sensitisation to aeroallergen; ¶: bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere. Statistically significant results (p<0.05) are shown in bold.

Data are presented as mean±sd or n (%), unless otherwise stated. Centres: Spain (Barcelona, Galdakao, Albacete, Oviedo and Huelva); Italy (Pavia, Turin and Verona); France (Paris, Grenoble, Bordeaux and Montpellier); Switzerland (Basel); Germany (Hamburg and Erfurt); Belgium (Antwerp City and South Antwerp); Netherlands (Groningen, Geleen and Bergen-op-zoom); Ireland (Dublin); UK (Ipswich, Norwich, Cambridge and Caerphilly); Sweden (Uppsala, Umea and Gothenburg); Norway (Bergen); USA (Portland); Canada (Winnepeg, Vancouver, Hamilton, Montreal, Halifax and Prince Edward Island); New Zealand (Wellington, Christchurch and Hawkes Bay); Australia (Melbourne). #: based on serum IgE measurement. Odds ratio coefficients from generalised estimating equations models controlling for repeated individual observations, sex and age. #: without consideration of sensitisation to aeroallergen; ¶: bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere. Statistically significant results (p<0.05) are shown in bold. There was no evidence that sensitisation to house dust mite or cat allergens modified the seasonal pattern of reported asthma attacks in any of the countries or continents (p-value for interaction of bimonthly period by sensitisation >0.05, I2 for variation between countries <40%) (fig. 1a and b). In the few centres with sufficient data, there was some suggestion of effect modification by having a positive SPT to ragweed (Canada, UK) throughout the summer and early autumn (p<0.05 only in September/October) and by having a positive SPT to Cladosporium in July/August (UK, Sweden and Canada) but formal testing showed this to be below the conventional limits of statistical significance (fig. 1c and d).
Figure 1–

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to a) house dust mite in all countries; b) cat in all countries; c) Cladosporium in Sweden, the UK and Canada; and d) ragweed in the UK and Canada. Overall adjusted odds ratios are from meta-analysis of interaction coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, main effect of relevant allergen and bimonthly periods, sex, age and sensitisation to dust mite (for cat), cat (for house dust mite) and grass, birch and Alternaria. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December.

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to a) house dust mite in all countries; b) cat in all countries; c) Cladosporium in Sweden, the UK and Canada; and d) ragweed in the UK and Canada. Overall adjusted odds ratios are from meta-analysis of interaction coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, main effect of relevant allergen and bimonthly periods, sex, age and sensitisation to dust mite (for cat), cat (for house dust mite) and grass, birch and Alternaria. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. In contrast, there was evidence that seasonal variation was modified by sensitisation to grass, birch and Alternaria (online supplementary figures S2–S4 show meta-analysis of the interaction coefficients). In figures 2–4, the odds of reporting asthma attacks in each bimonthly period are shown, stratified by sensitisation status. There was considerable variation in Europe (for example, I2 for the interaction terms for grass in May/June and birch sensitisation in March/April within Europe were 61% and 76%, respectively). When Europe was considered as north and south, or divided based on available average pollen levels over the past 15 years (early/late Poaceae season or by peak birch pollen levels reached) some differences still remained.
Figure 2–

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to grass and in those not sensitised to grass in a) south Europe; b) north Europe; c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly period coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to dust, cat, Alternaria and birch. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05.

Figure 4–

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to birch and in those not sensitised to birch in a) south Europe; b) north Europe (the Netherlands and Ireland were not included due to few asthmatics sensitised to birch producing a lack of model convergence); c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly periods coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to grass, dust, cat and Alternaria. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05.

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to grass and in those not sensitised to grass in a) south Europe; b) north Europe; c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly period coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to dust, cat, Alternaria and birch. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05. The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those with reported hay fever sensitised and not sensitised to grass in a) south Europe; b) north Europe; c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly period coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age (only among subjects with sensitisation to dust, cat, Alternaria and birch data). j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05. The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to birch and in those not sensitised to birch in a) south Europe; b) north Europe (the Netherlands and Ireland were not included due to few asthmatics sensitised to birch producing a lack of model convergence); c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly periods coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to grass, dust, cat and Alternaria. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05. In both south and north Europe (fig. 2a and b), those sensitised to grass were more likely to report that their asthma attacks usually occur in the spring/summer periods than in the winter period, while those who were not sensitised were more likely to report attacks in the winter months. For those who were grass sensitised, the higher risks were in early summer in southern Europe (OR March/April 2.60, 95% CI 1.70–3.97; OR May/June 4.43, 95% CI 2.34–8.39), and by comparison, in northern Europe the peak risks were relatively smaller, occurred later and showed more variation between the countries (OR July/August 1.66, 95% CI 0.89–3.10; I2 61%). Similar patterns were seen in Europe when countries were considered to have an early or late grass pollen season (online supplementary fig. S5). In North America (fig. 2c), the pattern was similar to that seen for southern Europe (although all interaction terms p>0.05). In Australia and New Zealand (fig. 2d), the effect of grass sensitisation on asthma attacks was more complex, being different in the two countries, and superimposed on an overall decreased risk of attacks during the summer or autumn months. Formal testing for modification of the seasonal pattern by sensitisation to grass was significant (p<0.05) only in March/April. In all regions, the seasonal pattern of asthma amongst those reporting “hay fever or nasal allergies” (overall, 77% of asthmatics also reported hay fever) was similar to that seen for grass sensitisation (54% of those with hay fever also had sensitisation to grass) (online supplementary fig. S5). However, this pattern was only present in those sensitised to grass, and not seen in those who reported hay fever but who were not sensitised to grass (fig. 3).
Figure 3–

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those with reported hay fever sensitised and not sensitised to grass in a) south Europe; b) north Europe; c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly period coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age (only among subjects with sensitisation to dust, cat, Alternaria and birch data). j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05.

In Europe, asthmatics who were sensitised to birch were more likely to report that their attacks occurred in the spring or summer than in the winter months. The seasonal pattern amongst those who were sensitised to birch was clearly seen in northern Europe (OR May/June 2.94, 95% CI 1.92–4.50; OR July/August 2.01, 95% CI 1.38–2.94) (fig. 4b), although there was some variation between countries (e.g. OR May/June 0.87, 95% CI 0.55–1.37; I2: 72%). The pattern was seen in countries where peak birch pollen levels exceeded 70.0 grains·m−3 (online supplementary fig. S6), but again there was some variation in the magnitude of the effect between countries. Compared to grass sensitisation, the peak risk in this sensitised group occurred earlier in the year (fig 3b and fig. 4b]). Some seasonal variation was also seen in southern Europe (where birch pollen levels are generally lower). There was no evidence that sensitisation to birch modified seasonal variation of asthma attacks in North America or Australasia (all interactions p>0.05; fig. 4c–d). Asthmatics who were sensitised to Alternaria were at a greater risk of reporting asthma attacks in May/June and July/August in southern Europe (fig. 5a) and in July/August in north Europe (fig. 5b). There was some evidence of similar seasonal patterns of reporting asthma attacks in North America (fig. 5c) (formal testing for interactions p<0.05 in July/August) and in Australasia (fig. 5d) the pattern was similar to that seen for grass sensitisation.
Figure 5–

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to Alternaria and in those not sensitised to Alternaria in a) south Europe; b) north Europe (the Netherlands, Belgium, Ireland and Norway were not included due to few asthmatics sensitised to Alternaria producing a lack of model convergence); c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly periods coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to grass, dust, cat and birch. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05.

The overall adjusted odds ratio (error bars represent 95% confidence intervals) of asthma usually occurring in each bimonthly period in those sensitised to Alternaria and in those not sensitised to Alternaria in a) south Europe; b) north Europe (the Netherlands, Belgium, Ireland and Norway were not included due to few asthmatics sensitised to Alternaria producing a lack of model convergence); c) North America; and d) Australasia (bimonthly periods have been shifted 6 months forward to allow comparison with the northern hemisphere). Overall adjusted odds ratios are from meta-analysis of bimonthly periods coefficients from generalised estimating equations models conducted within country controlling for repeated individual observations, sex, age and sensitisation to grass, dust, cat and birch. j/f: January/February; m/a: March/April; m/j: May/June; j/a: July/August; s/o: September/October; n/d: November/December. #: p-heterogeneity <0.05; *: p-value for interaction <0.05. None of the above observations were substantially altered by changing the definition of a positive SPT (MWD ≥3 mm), by using serum specific IgE to define sensitisation (using a cut off of 0.35 or 0.70 kU·L−1), by restricting the sample to those who had asthma symptoms in the past year or by including the month of interview (and SPT) as a potential confounder. Furthermore, high levels of total IgE (>100 kU·mL−1) did not influence seasonal variations (data not shown).

Discussion

This large study of >2500 young adults with asthma shows that a substantial proportion report seasonal variation in their attacks of asthma, and that the pattern of the seasonal variation is dependent on whether they are sensitised to pollens and moulds, but not indoor allergens. Asthmatics sensitised to grass, birch and Alternaria show very different seasonal patterns to those not sensitised to these allergens. This is most clearly seen for sensitisation to grass, where individuals who are sensitised report more attacks in the summer months (most likely related to allergen exposure) and those who are not sensitised report more attacks in the winter months (most likely due to the effects of respiratory infections [6]). Although these patterns are widely recognised by clinicians, to date, no epidemiological study of this scale has described these patterns, or derived risk estimates associated with sensitisation status in representative samples of the asthmatic population. Beyond the clear relevance for clinical practice, our results provide important baseline information for risk assessment in relation to climate change and may assist in the interpretation of health effects of outdoor air pollution on asthma. We would expect the seasonal pattern in those who are sensitised to pollens and mould to mirror the patterns of exposure. We do not have complete information on pollen levels in all of our participating centres for the period of data collection (1991–1992). Two groups (the European Academy of Allergy and Clinical Immunology and the International Association of Aerobiology) collated all available pollen data from Europe (1974–1988) [18], which showed peak grass (Poaceae) pollen counts occurred later in northern than southern Europe, and in some countries (e.g. northern Italy) were raised well into September/October. In Scandinavian countries, the birch pollen season began in May, lasting at least until the end of August, while the season was earlier, shorter and more intense in “southern” Europe. The “average” pollen season over the last 15 years is broadly similar to these patterns (www.pollenwarndienst.at) and more recent European work confirms these temporal and geographical variations in grass pollen [19, 20], birch [21] and mould spore counts (Alternaria and Cladosporium) [22, 23]. However, there is growing evidence that measurement of pollen allergenicity (a subject of research within multicentre initiatives such as the Health Impacts of Airborne Allergen Information Network; www.hialine.com), rather than pollen counts, may be the relevant exposure to explain allergen associated variations in asthma exacerbations [24]. Our report suggests that mortality and admissions are the “tip of the iceberg” of seasonal variations in asthma. Most asthma treatment guidelines list exposure to seasonal allergens as a potential trigger to asthma attacks [25], and our data support that those with sensitisation to grass, birch and Alternaria (and possibly Cladosporium) may benefit from focussed clinical protocols [26] that increase inhaled treatment during the months of peak exposure to allergen. They may even benefit from desensitisation and immunotherapy (2.6% of asthmatics reported they “had been vaccinated for allergy in the previous 12 months”). Assessment of sensitisation by SPTs and/or serum measures may not be routinely performed in all primary healthcare settings. However, the interpretation of such testing requires understanding of potential cross-reactivity and should be carefully considered alongside information on likely exposure. For example, some people may test positive to ragweed in the UK, but ragweed pollen is absent there. Sensitisation probably arises from cross-reactivity with other members of the Compositae (Asteraceae) family (e.g. mugwort). Even though our data suggest that people with positive SPTs to ragweed in the UK and Canada have different seasonal patterns, particularly in late summer, compared to those without positive SPTs (fig. 1d), this might be explained by residual confounding by mould exposure. Similarly, the pattern of variation that we have seen in those who do and do not have positive SPTs to birch in southern Europe may in part be explained by cross-reactivity with other members of the Bet v 1-family (e.g. hazel and hop-hornbeam) [27]. Asthmatics who also reported hay fever showed an increased risk of reporting exacerbations in the spring and summer months but this was limited to those who were grass sensitised. Although reporting hay fever identifies those at greater risk of spring/summer asthma exacerbations (online supplementary fig. E7), the addition of testing for grass sensitisation may be more useful to identify those at risk (fig. 3). Indoor allergens, such as house dust mite and cat, may have a role in determining asthma exacerbations and severity of disease, but our data suggest that those sensitised to indoor allergens have the same seasonal variations as those who are not sensitised to these allergens. Large time series and ecological studies of asthma mortality and admissions in relation to pollen or mould exposure [7, 28–32] present effect estimates for the entire population and have not included differences in effect in those who are and are not sensitised (the proportion of which varies between countries). The effect of pollen on sensitised individuals may confound the respiratory effects of other outdoor pollutants, particularly ozone (which peaks during the summer months). This could explain the inconsistency in the association of ozone with asthma reported in some time series studies [33, 34]. Possible interactions between air pollutants and aeroallergens and their effect on asthma exacerbations have been investigated in few studies. Individual sensitisation to such aeroallergens might influence the observed effects and explain why such interactions are only seen in some studies [35]. Climate change may lead to more intense and extended pollen or mould seasons with higher absolute levels and increased allergenicity [36, 37]. There may be more thunderstorms, which are known to cause sudden peaks in grass and mould allergen levels and “epidemic asthma” in those who are sensitised [11, 38]. This report provides baseline information showing that those who are sensitised are indeed a subgroup of the population who will be particularly at risk if these climatic changes occur. The ideal study design to investigate the effects of pollen exposure on asthma exacerbations is a longitudinal or panel study of asthmatics who provide symptom and sensitisation information at regular intervals over a 1-year period, but only one large study of this type (on children) has been reported [39]. Although our study design is not optimal, it is, to our knowledge, the only large international study of seasonal variations in population-based asthmatics in whom atopic status has been assessed. Participants were identified from representative community based samples (not from hospital clinics) and even though the vast majority reported a physician diagnosis of asthma, only a third reported using inhaled steroids in the past year (reflecting that they had relatively mild disease [40] and the under-treatment of asthma during the 1990s). We have relied on self-reported seasonality collected at one point in time, which has high face validity but may introduce random error (making it more difficult to identify clear patterns). Systematic error is unlikely as seasonal reporting was not influenced by month of interview or by participants knowing their IgE status (questionnaire was asked before SPT). Even though our report is based on observations made 20 years ago, similar patterns were still seen in adults who took part in ECRHS II (a subsample of participants included in this report who were followed up in 2000–2002, n=1284, aged 27–54 years at follow-up, 12 countries) who underwent repeat questionnaires and limited serum IgE testing (no SPTs were performed in ECRHS II) (online supplementary fig. E8). We have described geographical variation in seasonality but, because of the relatively small sample size in some centres, have grouped information from centres to country level, and then regional level. Our regions are thus defined by geopolitics rather than factors that others may consider more relevant (e.g. pollen levels, climate and land usage). In conclusion, we have shown that seasonal variation in asthma attacks in young adults is common and is strongly associated with allergic sensitisation. This is a timely reminder to clinicians to remain alert to seasonal allergens as a potential trigger for asthma attacks in their sensitised patients. Air pollution scientists should strive to include measures of allergen exposure and measures of individual (or at least population levels) of allergic sensitisation in their analyses. Climate change may increase pollen levels and their allergenicity, and also extend pollen seasons; this will probably lead to increased exacerbations in those who are sensitised to these aeroallergens. Large panel studies to better understand and quantify the relationships between exacerbations, allergic sensitisation, directly measured pollen counts and other factors are required.
  32 in total

1.  Comparison of the seasonal patterns of asthma identified in general practitioner episodes, hospital admissions, and deaths.

Authors:  D M Fleming; K W Cross; R Sunderland; A M Ross
Journal:  Thorax       Date:  2000-08       Impact factor: 9.139

2.  Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe.

Authors:  J Emberlin; M Detandt; R Gehrig; S Jaeger; N Nolard; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2002-07-26       Impact factor: 3.787

Review 3.  Seasonal variation in bronchial hyperreactivity (BHR) in allergic patients.

Authors:  S A Tilles; E J Bardana
Journal:  Clin Rev Allergy Immunol       Date:  1997       Impact factor: 8.667

4.  Temporal associations between daily counts of fungal spores and asthma exacerbations.

Authors:  R W Atkinson; D P Strachan; H R Anderson; S Hajat; J Emberlin
Journal:  Occup Environ Med       Date:  2006-03-21       Impact factor: 4.402

5.  Thunderstorm-related asthma--the epidemic of 24/25 June 1994.

Authors:  K M Venables; U Allitt; C G Collier; J Emberlin; J B Greig; P J Hardaker; J H Highham; T Laing-Morton; R L Maynard; V Murray; D Strachan; R D Tee
Journal:  Clin Exp Allergy       Date:  1997-07       Impact factor: 5.018

6.  The European Community Respiratory Health Survey.

Authors:  P G Burney; C Luczynska; S Chinn; D Jarvis
Journal:  Eur Respir J       Date:  1994-05       Impact factor: 16.671

7.  Effect of gender, age, and severity of asthma attack on patterns of emergency department visits due to asthma by month and day of the week.

Authors:  Akerke Baibergenova; Lehana Thabane; Noori Akhtar-Danesh; Mitchell Levine; Amiram Gafni; Rahim Moineddin; Indra Pulcins
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

8.  Respiratory hospital admissions were associated with ambient airborne pollen in Darwin, Australia, 2004-2005.

Authors:  I C Hanigan; F H Johnston
Journal:  Clin Exp Allergy       Date:  2007-10       Impact factor: 5.018

9.  Respiratory viruses and exacerbations of asthma in adults.

Authors:  K G Nicholson; J Kent; D C Ireland
Journal:  BMJ       Date:  1993-10-16

10.  Bet v 1-like pollen allergens of multiple Fagales species can sensitize atopic individuals.

Authors:  M Hauser; C Asam; M Himly; P Palazzo; S Voltolini; C Montanari; P Briza; M L Bernardi; A Mari; F Ferreira; M Wallner
Journal:  Clin Exp Allergy       Date:  2011-09-23       Impact factor: 5.018

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  16 in total

Review 1.  Environmental control measures for the management of atopy.

Authors:  Meredith A Dilley; Wanda Phipatanakul
Journal:  Ann Allergy Asthma Immunol       Date:  2017-02       Impact factor: 6.347

2.  Employed adults with asthma who have frequent workplace exposures.

Authors:  Gretchen E White; Jacek M Mazurek; Eileen Storey
Journal:  J Asthma       Date:  2014-07-29       Impact factor: 2.515

Review 3.  Particularities of allergy in the Tropics.

Authors:  Luis Caraballo; Josefina Zakzuk; Bee Wah Lee; Nathalie Acevedo; Jian Yi Soh; Mario Sánchez-Borges; Elham Hossny; Elizabeth García; Nelson Rosario; Ignacio Ansotegui; Leonardo Puerta; Jorge Sánchez; Victoria Cardona
Journal:  World Allergy Organ J       Date:  2016-06-27       Impact factor: 4.084

Review 4.  A Review of the Respiratory Health Burden Attributable to Short-Term Exposure to Pollen.

Authors:  Nur Sabrina Idrose; Caroline J Lodge; Bircan Erbas; Jo A Douglass; Dinh S Bui; Shyamali C Dharmage
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

5.  Seasonal variation of diseases in children: a 6-year prospective cohort study in a general hospital.

Authors:  Tessa V Schrijver; Paul L P Brand; Jolita Bekhof
Journal:  Eur J Pediatr       Date:  2015-10-22       Impact factor: 3.183

6.  Sensitisation to mites in a group of patients with asthma in Yaounde, Cameroon: a cross-sectional study.

Authors:  Eric Walter Pefura-Yone; André Pascal Kengne; Christopher Kuaban
Journal:  BMJ Open       Date:  2014-01-03       Impact factor: 2.692

7.  Prevalence of asthma and allergic rhinitis among adults in Yaounde, Cameroon.

Authors:  Eric Walter Pefura-Yone; André Pascal Kengne; Adamou Dodo Balkissou; Julie Raïcha Boulleys-Nana; Nelly Rachel Efe-de-Melingui; Patricia Ingrid Ndjeutcheu-Moualeu; Charles Lebon Mbele-Onana; Elvira Christelle Kenmegne-Noumsi; Barbara Linda Kolontchang-Yomi; Boris Judicaël Theubo-Kamgang; Emilienne Régine Ebouki; Chrystelle Karen Djuikam-Kamga; Christiane Gaelle Magne-Fotso; Francine Amougou; Liliane Mboumtou; Martine Ngo-Yonga; Elsie Linda Petchou-Talla; Emmanuel Afane-Ze; Christopher Kuaban
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

8.  Impact of respiratory infections, outdoor pollen, and socioeconomic status on associations between air pollutants and pediatric asthma hospital admissions.

Authors:  Julie E Goodman; Christine T Loftus; Xiaobin Liu; Ke Zu
Journal:  PLoS One       Date:  2017-07-18       Impact factor: 3.240

9.  Grass pollen production and group V allergen content of agriculturally relevant species and cultivars.

Authors:  Stephan Jung; Nicole Estrella; Michael W Pfaffl; Stephan Hartmann; Ellinor Handelshauser; Annette Menzel
Journal:  PLoS One       Date:  2018-03-12       Impact factor: 3.240

10.  Allergic respiratory disease (ARD), setting forth the basics: proposals of an expert consensus report.

Authors:  Ana M Navarro; Julio Delgado; Rosa M Muñoz-Cano; M Teresa Dordal; Antonio Valero; Santiago Quirce
Journal:  Clin Transl Allergy       Date:  2017-05-18       Impact factor: 5.871

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