Abstract
There exists a paucity of data for socially disadvantaged populations describing patterns and predictors of asthma control status and exacerbations during pregnancy, and their relationship to adverse perinatal outcomes.
Asthmatic women (n=189) were followed prospectively during pregnancy, with visits at 12, 20, 28 and 36 weeks gestation. Data on loss of control, recurrent uncontrolled asthma and moderate/severe exacerbations were collected at each visit and their relationship to perinatal outcomes examined following stratification for fetal sex.
50% of asthmatic women experienced a loss of control or moderate/severe exacerbation during pregnancy, with 22% of women experiencing a moderate/severe exacerbation. Factors associated with an increased risk of women experiencing recurrent uncontrolled asthma during pregnancy included smoking (relative risk 2.92, 95% CI 1.53–5.58), inhaled corticosteroid use at the beginning of pregnancy (relative risk 2.40, 95% CI 1.25–4.60) and increasing maternal age (relative risk 1.06, 95% CI 1.01–1.11). No factors were associated with moderate/severe exacerbations. Asthma control rather than exacerbations during pregnancy appeared to be most strongly correlated with perinatal outcomes. Following stratification by fetal sex, the presence of recurrent uncontrolled asthma was associated with an increased risk of being small for gestational age in women pregnant with females (33.3% versus 9.5%; p=0.018). In contrast, there was a nonsignificant increased risk of preterm birth in women with recurrent uncontrolled asthma that were pregnant with males (25.0% versus 11.8%; p=0.201)
These results suggest that the key to improving perinatal outcomes lies in improving asthma control as early as possible in pregnancy and monitoring throughout pregnancy, rather than focusing on preventing exacerbations alone.
Short abstract
Recurrent uncontrolled asthma during gestation is a greater contributor to poor perinatal outcomes than exacerbations http://ow.ly/X0OSa
Introduction
The adverse effects of asthma in pregnancy are related to asthma severity and the intensity of treatment [1–3]. Acute asthma exacerbations have been identified as the most significant event to affect fetal morbidity and mortality in pregnancies complicated by asthma [4, 5]. A number of studies have examined the effects of maternal asthma during pregnancy, in the presence and absence of inhaled corticosteroid (ICS) treatment, on placental function and fetal development [6]. These studies have demonstrated that use of ICS for the treatment of asthma did not affect fetal growth, and that maternal asthma without treatment had a greater impact on the fetus and placenta [7]. Overall, the evidence clearly demonstrates no increased risk of adverse maternal or fetal complications in situations where asthma is well controlled throughout pregnancy [8, 9]. In contrast, poor asthma control, as indicated by the need for more intensive treatment, is a greater risk factor for an adverse outcome during pregnancy than ICS use [5]. Further, regular use of oral corticosteroids (OCS), used in the management of acute asthma exacerbations and poorly controlled asthma during pregnancy, has been associated with an increased incidence of low birth weight babies and preterm birth [10]. These findings highlight the importance of optimising asthma control and reducing asthma exacerbations.
Previous studies have defined asthma exacerbations as any asthma-related event that involved one or more of the following: a hospital admission, an unscheduled visit to a doctor, a course of oral steroids, an increase in medication use or decreased peak expiratory flow rate. Among those with mild, moderate and severe asthma the exacerbation rates have been reported as 13%, 26% and 52%, respectively [11]. The corresponding rates of exacerbations leading to hospitalisation were 2%, 7% and 27% [11]. Relying solely on asthma severity, however, can be misleading as asthma can worsen during pregnancy regardless of maternal pre-pregnancy severity [4, 5]. Exacerbations can occur at any time during gestation, but are most likely in the second and third trimesters between weeks 17 and 34, with peak incidence at around 25 weeks gestation. Many interventions for pregnant asthmatic women are focused on reducing asthma exacerbations as it is likely to have the greatest impact on improving perinatal outcomes [12].
A major comorbidity of pregnant women with asthma is cigarette use [13, 14]. We previously found that 25% of asthmatic women smoked during pregnancy relative to 17% of non-asthmatic women [14]. Asthmatic women who were current smokers during pregnancy had more severe asthma exacerbations during pregnancy relative to women who were nonsmokers [15]. The combination of asthma and cigarette use also significantly increased the incidence of low birth weight neonates and preterm deliveries [14].
It is recognised that social disadvantage encompasses a range of contributing factors including health literacy, income, occupation, housing, health behaviours (i.e. smoking and poor diet) and comorbidities (i.e. mental health) as well as race and/or ethnicity. The prevalence of asthma is greatest among those living in lower socioeconomic status areas, with low socioeconomic status also associated with almost double the rate of smoking, increased rates of hospitalisations for asthma and an increased risk of asthma-related mortality [16]. Children from low socioeconomic status communities are more likely to have poorly controlled asthma relative to children of high socioeconomic status [17] and it has been proposed that socioeconomic status index is a strong predictor of poor asthma outcomes. The BIOAIR study demonstrated that low socioeconomic status is a risk factor for exacerbations [18]. However, poor asthma control and exacerbations in low socioeconomic status populations may be due to inadequacies in health literacy [19]. Apter et al. [20] reported that reduced literacy and numeracy skills in association with ethnicity, age, income and educational attainment were all associated with level of asthma control, with those individuals with reduced literacy being more likely to have uncontrolled asthma.
In the current study, we have examined asthma control and exacerbations in a group of pregnant women who live in a socially disadvantaged community in South Australia. The level of social deprivation in this pregnant population is significant. For example, 36% of pregnant women from this population have reported they were abused as children, 35% have suffered major life stressors and 30% of these pregnant women were diagnosed with depression during antenatal care [21]. Population-based data report that 40% of the inhabitants in this community do not finish year 10 of high school, >22% of the population are unemployed, 27% are housed by the government and 22% of families have a sole female parent [22]. Our objective was to examine patterns and predictors of asthma control and exacerbations during pregnancy in a population of women from a socially disadvantaged community, and to determine the association of this data with perinatal outcomes.
Methods
Approval for the study was provided by The Queen Elizabeth Hospital, Lyell McEwin Hospital and Modbury Hospital Human Research Ethics Committee and The University of Adelaide Human Research Ethics Committee. All women gave written informed consent.
Prospective asthma study
Pregnant women with a doctor diagnosis of asthma (n=189) were recruited through the Lyell McEwin Hospital antenatal clinics (South Australia, Australia) between May 2009 and May 2012 to take part in a non-interventional prospective cohort study evaluating the impact of maternal asthma on perinatal outcomes. Women were assessed by a midwife, with additional respiratory training, at 12, 20, 28, and 36 weeks gestation. The midwife utilised a standardised data collection tool to collect demographic data including maternal weight, height, previous obstetric history and medical history. Maternal smoking was assessed by maternal self-report, with women classified according to smoking status during the first antenatal visit. Socioeconomic status for each woman was determined using her residential postcode at the time of delivery. Women were then ranked according to their level of advantage, or relative disadvantage, based on data from the Socio-Economic Indexes for Areas, calculated from the Australian Bureau of Statistics' 5-yearly Census of Population and Housing. These indexes are widely used measures of relative socioeconomic status [2]. In addition to demographic variables, data were collected to determine current asthma therapy and control, current asthma triggers, comorbidities and past history including frequency of OCS use and hospital admissions for asthma. Asthma control was assessed using the Asthma Control Questionnaire (ACQ). The ACQ is a seven-item validated questionnaire which covers asthma symptoms and lung function, with scores >1.5 indicative of uncontrolled asthma [23]. Forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC) were measured using an Easy One spirometer (ndd Medical Technologies, Inc., Andover, MA, USA) before and after administration of salbutamol. FEV1 % predicted was calculated based on the patient's age, ethnicity and height using the equations of Gore et al. [24]. Data were prospectively collected on asthma medications (dose, frequency and duration across trimesters). The same midwife saw women for each of their respective visits. Patients assessed as unstable and requiring medical review were referred to their primary care physician or to a respiratory physician.
Maternal asthma and perinatal outcomes
Details of the exacerbations were obtained from the study visit notes and confirmed by consulting the medical record if necessary. An exacerbation event was defined as moderate/severe if it required a hospital admission, emergency department presentation, an unscheduled visit to a doctor or a course of oral steroids due to asthma. A loss of control was defined as an increase in asthma symptoms or an increase in medication use, which was managed by the subject and did not require medical intervention, or an ACQ score of >1.5 during an asthma study visit. Most women were identified as having a loss of control using the ACQ score at a study visit. An additional asthma outcome included recurrent uncontrolled asthma, defined as an ACQ score of >1.5 during two or more study visits. Data were prospectively collected at each study visit. Data on perinatal outcomes were collected at delivery from the medical records, including infant sex, gestational age, birthweight, birth length, head circumference, method of delivery and Apgar scores. Gestational age was determined by the date of the last menstrual period and confirmed by ultrasound at 18 weeks. Preterm birth was defined as <37 completed weeks gestation, while small for gestational age (SGA) was defined according to birthweight (<10th percentile for gestational age).
Statistical analysis
The impact of various maternal characteristics on asthma exacerbations and recurrent uncontrolled asthma during pregnancy were examined using a generalised linear model, generating relative risks and 95% confidence intervals. The impact of asthma exacerbations and recurrent uncontrolled asthma on perinatal outcomes were examined using unpaired t-tests for parametric continuous variables, and Fisher's exact test for categorical variables, following stratification for infant sex. All reported p-values were two-tailed, and a p-value of <0.05 was considered to be statistically significant. All statistical procedures were carried out using SPSS version 19 (SPSS Inc., Chicago, IL, USA).
Results
Pregnant women with asthma (n=189) were more likely to be overweight (24%) or obese (35%) than of normal weight (40%). They were predominantly Caucasian and in the lowest two quintiles for socioeconomic status (85%). One third of women were treated with an ICS during pregnancy and 78% of those women were using a combination drug of an ICS with a long-acting β2-agonist. 54% of asthmatic women did not use an ICS during pregnancy and 13.8% of women were prescribed an ICS during pregnancy. 20% of asthmatics were current smokers. Overall, 22% of women experienced a moderate/severe exacerbation during pregnancy, 50% of women had a loss of control during gestation and 16% had recurrent uncontrolled asthma as indicated by more than two episodes where the ACQ score was >1.5 (table 1).
TABLE 1.
Subjects n | 189 |
Maternal age years | 26.1±5.5 |
BMI kg·m−2 | 28.4±7.2 |
BMI category | |
Normal weight | 76 (40.2) |
Overweight | 46 (24.3) |
Obese | 67 (35.4) |
Weight gain during pregnancy kg | 10.7±6.5 |
Socioeconomic status | |
1 (Lowest) | 100 (52.9) |
2 | 61 (32.3) |
3 | 6 (3.2) |
4 | 12 (6.3) |
5 (Highest) | 10 (5.3) |
Ethnicity | |
Caucasian | 176 (93.1) |
Other | 13 (6.9) |
Parity | |
≥1 | 111 (58.7) |
Smoking status | |
Never/former smoker | 128 (67.7) |
Quit smoking during pregnancy | 23 (12.2) |
Current smoker | 38 (20.1) |
Baseline ICS use | |
Yes | 61 (32.3) |
No | 128 (67.7) |
Baseline ICS type | |
ICS | 13 (21.3) |
ICS + LABA | 48 (78.7) |
Spirometry | |
FEV1 L | 3.02±0.43 |
FEV1 % pred | 92±11 |
FVC L | 3.70±0.56 |
FEV1/FVC | 0.82±0.06 |
New ICS in pregnancy | |
No | 102 (54) |
Yes | 26 (13.8) |
Using ICS pre-pregnancy | 61 (32.3) |
Any severe exacerbation | 41 (21.7) |
OCS use | 14 (7.4) |
General practitioner visit | 31 (16.4) |
Emergency department visit | 10 (5.3) |
Admitted to hospital | 2 (1.1) |
Persistent uncontrolled asthma | 30 (15.9) |
Data are presented as mean±sd or n (%), unless otherwise stated. BMI: body mass index; ICS: inhaled corticosteroid; LABA: long-acting β2-agonist; FEV1: forced expiratory volume in 1 s; FVC: forced vital capacity; OCS: oral corticosteroid.
The percentage of women who experienced an exacerbation or loss of control (figure 1a) increased linearly as gestation progressed. Similarly, the percentage of exacerbations and loss of control also increased as gestation progressed (figure 1b), which was comparable to the number of exacerbations or loss of control throughout gestation for the entire population (figure 1c). Overall there were more asthmatic women identified with a loss of asthma control (50%) as gestation progressed than with an exacerbation (22%).
When examining the relative risk of a severe exacerbation there were no significant maternal characteristics that contributed to an exacerbation during pregnancy (table 2). However, maternal age, normal body mass index (BMI) and quitting smoking appeared protective against an exacerbation during pregnancy. Baseline ICS was a nonsignificant predictor of exacerbation risk. The presence of an asthma exacerbation during pregnancy was not associated with any statistically significant increase in adverse perinatal outcomes (table 3).
TABLE 2.
Exacerbation | No exacerbation | p-value | Relative risk (95% CI) | |
Subjects n | 41 | 148 | ||
Maternal age years | 25.9±5.8 | 26.2±5.6 | 0.795 | 0.99 (0.95–1.04) |
BMI kg·m−2 | 29.1±7.5 | 28.3±7.2 | 0.536 | 1.01 (0.98–1.05) |
BMI category | 0.701 | |||
Normal weight | 17 (41.5) | 59 (39.9) | Reference | |
Overweight | 8 (19.5) | 38 (25.7) | 0.78 (0.37–1.66) | |
Obese | 16 (39.0) | 51 (34.5) | 1.07 (0.59–1.94) | |
Weight gain during pregnancy kg | 9.8±7.2 | 11.0±6.5 | 0.273 | 0.98 (0.93–1.02) |
Parity | 0.699 | |||
0 | 18 (43.9) | 60 (40.5) | 0.90 (0.52–1.55) | |
≥1 | 23 (56.1) | 88 (59.5) | ||
Smoking status | 0.557 | |||
Never/former smoker | 29 (70.7) | 99 (66.9) | Reference | |
Quit smoking during pregnancy | 3 (7.3) | 20 (13.5) | 0.58 (0.19–1.73) | |
Current smoker | 9 (22.0) | 29 (19.6) | 1.05 (0.54–2.01) | |
Baseline ICS use | 0.155 | |||
Yes | 17 (41.5) | 44 (29.7) | 1.49 (0.87–2.55) | |
No | 24 (58.5) | 104 (70.3) |
Data are presented as mean±sd or n (%), unless otherwise stated. BMI: body mass index; ICS: inhaled corticosteroid.
TABLE 3.
Male | Female | |||||
Severe exacerbation | No exacerbation | p-value | Severe exacerbation | No exacerbation | p-value | |
Subjects n | 24 | 73 | 17 | 75 | ||
Gestational age days | 277±12 | 270±20 | 0.108 | 277±12 | 273±12 | 0.288 |
Birthweight g | 3496±461 | 3323±758 | 0.294 | 3461±460 | 3291±591 | 0.271 |
Birthweight centile | 47.9±32.4 | 48.3±31.2 | 0.954 | 57.4±26.2 | 45.6±30.5 | 0.143 |
Delivery method | 0.560 | 0.756 | ||||
Vaginal | 14 (58.3) | 50 (68.5) | 11 (64.7) | 55 (73.3) | ||
Elective LSCS | 3 (12.5) | 9 (12.3) | 3 (17.6) | 10 (13.3) | ||
Emergency LSCS | 7 (29.2) | 14 (19.2) | 3 (17.6) | 10 (13.3) | ||
Labour onset | 0.772 | 1.000 | ||||
SOL | 14 (58.3) | 37 (50.7) | 9 (52.9) | 40 (53.3) | ||
IOL | 6 (25.0) | 24 (32.9) | 6 (35.3) | 23 (30.7) | ||
None | 4 (16.7) | 12 (16.4) | 2 (11.8) | 12 (16.0) | ||
Birth length cm | 50.2±2.1 | 49.7±3.9 | 0.557 | 50.1±1.9 | 49.0±2.2 | 0.069 |
Head circumference cm | 35.4±1.1 | 34.6±2.3 | 0.114 | 34.6±1.7 | 34.3±1.7 | 0.455 |
Preterm birth | 0.176 | 1.000 | ||||
No | 23 (95.8) | 61 (83.6) | 16 (94.1) | 67 (89.3) | ||
Yes | 1 (4.2) | 12 (16.4) | 1 (5.9) | 8 (10.7) | ||
SGA | 0.726 | 1.000 | ||||
No | 22 (91.7) | 64 (87.7) | 15 (88.2) | 64 (85.3) | ||
Yes | 2 (8.3) | 9 (12.3) | 2 (11.8) | 11 (14.7) | ||
Apgar Score | ||||||
1 min | 8±2 | 8±1 | 0.967 | 8±1 | 8±2 | 0.191 |
5 min | 9±1 | 9±1 | 0.449 | 9±1 | 9±1 | 0.700 |
Data are presented as mean±sd or n (%), unless otherwise stated. LSCS: lower segment caesarean section; SOL: spontaneous onset labour; IOL: induction of labour; SGA: small for gestational age.
Interestingly, there were significant associations between maternal characteristics and the presence of recurrent uncontrolled asthma in this cohort (table 4). Women with uncontrolled asthma were older (relative risk 1.06, 95% CI 1.01–1.11), overweight (relative risk 1.89, 95% CI 0.89–4.04), current smokers (relative risk 2.92, 95% CI 1.53–5.58) and prescribed an ICS (possibly a reflection of asthma severity) (relative risk 2.40, 95% CI 1.25–4.60) (table 4). Following stratification by fetal sex, the presence of recurrent uncontrolled asthma at two or more study visits was associated with an increased risk of SGA (33.3% versus 9.5%; p=0.018), but not preterm birth (11.1% versus 9.5%; p=1.000) among women pregnant with females (table 5). By contrast, a nonstatistically significant increased risk of preterm birth was observed for males (25.0% versus 11.8%; p=0.201), but not SGA (8.3 versus 11.8%; p=1.000) (table 5).
TABLE 4.
Recurrent uncontrolled asthma | Controlled asthma | p-value | Relative risk (95% CI) | |
Subjects n | 30 | 159 | ||
Maternal age years | 28.0±5.6 | 25.7±5.4 | 0.039 | 1.06 (1.01–1.11) |
BMI kg·m−2 | 30.4±7.8 | 28.1±7.0 | 0.1 | 1.03 (0.99–1.07) |
BMI category | 0.189 | |||
Normal weight | 9 (30.0) | 67 (42.1) | Reference | |
Overweight | 6 (20.0) | 40 (25.2) | 1.10 (0.42–2.89) | |
Obese | 15 (50.0) | 52 (32.7) | 1.89 (0.89–4.04) | |
Weight gain during pregnancy kg | 7.9±7.2 | 11.3±6.2 | 0.009 | 0.92 (0.84–0.99) |
Parity | <0.001 | N/A | ||
0 | 0 | 78 (49.1) | ||
≥1 | 30 (100.0) | 81 (50.9) | ||
Smoking status | 0.002 | |||
Never/former smoker | 15 (50.0) | 113 (71.1) | Reference | |
Quit smoking during pregnancy | 2 (6.7) | 21 (13.2) | 0.74 (0.18–3.03) | |
Current smoker | 13 (43.3) | 25 (15.7) | 2.92 (1.53–5.58) | |
Baseline ICS use | 0.007 | |||
Yes | 16 (53.3) | 45 (28.3) | 2.40 (1.25–4.60) | |
No | 14 (46.7) | 114 (71.7) |
Data are presented as mean±sd or n (%), unless otherwise stated. BMI: body mass index; ICS: inhaled corticosteroid; N/A: not applicable.
TABLE 5.
Male | Female | |||||
Recurrent uncontrolled asthma | Controlled asthma | p-value | Recurrent uncontrolled asthma | Controlled asthma | p-value | |
Subjects n | 12 | 85 | 18 | 74 | ||
Gestational age days | 266±24 | 272±18 | 0.308 | 272±9 | 275±13 | 0.467 |
Birthweight centile | 49.8±34.1 | 48.0±31.2 | 0.853 | 41.2±35.5 | 49.4±28.5 | 0.302 |
Birth weight g | 3280±761 | 3378±693 | 0.652 | 3182±646 | 3357±550 | 0.246 |
Delivery method | 0.578 | 0.021 | ||||
Vaginal | 9 (75.0) | 55 (64.7) | 9 (50.0) | 57 (77.0) | ||
Elective LSCS | 2 (16.7) | 10 (11.8) | 6 (33.3) | 7 (9.5) | ||
Emergency LSCS | 1 (8.3) | 20 (23.5) | 3 (16.7) | 10 (13.5) | ||
Labour onset | 1 | 0.039 | ||||
SOL | 6 (50.0) | 45 (52.9) | 6 (33.3) | 43 (58.1) | ||
IOL | 4 (33.3) | 26 (30.6) | 6 (33.3) | 23 (31.1) | ||
None | 2 (16.7) | 14 (16.5) | 6 (33.3) | 8 (10.8) | ||
Birth length cm | 50.0±2.0 | 49.8±3.7 | 0.84 | 48.9±1.9 | 49.3±2.2 | 0.507 |
Head circumference cm | 35.5±1.3 | 34.7±2.2 | 0.281 | 34.0±1.8 | 34.4±1.6 | 0.348 |
Preterm birth | 0.201 | 1 | ||||
No | 9 (75.0) | 75 (88.2) | 16 (88.9) | 67 (90.5) | ||
Yes | 3 (25.0) | 10 (11.8) | 2 (11.1) | 7 (9.5) | ||
SGA | 1 | 0.018 | ||||
No | 11 (91.7) | 75 (88.2) | 12 (66.7) | 67 (90.5) | ||
Yes | 1 (8.3) | 10 (11.8) | 6 (33.3) | 7 (9.5) | ||
Apgar Score | ||||||
1 min | 8±2 | 8±1 | 0.395 | 8±2 | 8±1 | 0.442 |
5 min | 9±1 | 9±1 | 0.805 | 9±2 | 9±1 | 0.746 |
Data are presented as mean±sd or n (%), unless otherwise stated. LSCS: lower segment caesarean section; SOL: spontaneous onset labour; IOL: induction of labour; SGA: small for gestational age.
Discussion
This research identified that asthma worsened as gestation progressed in a linear fashion with the greater proportion of women experiencing a loss of control rather than an exacerbation. The women who had recurrent losses of control during pregnancy were significantly more likely to have a poor perinatal outcome than the women who exacerbated during pregnancy, suggesting long periods of uncontrolled asthma may be more harmful than acute exacerbations for the fetus specifically in relation to fetal growth. Interestingly, half of all exacerbations and recurrent losses of control occurred before 20 weeks of gestation, indicating that peri-conceptional interventions and early diagnosis of pregnancy followed by the immediate introduction of asthma education and self-management skills may be essential for preventing the deterioration of asthma with pregnancy.
We observed that 20% of women experienced an exacerbation during pregnancy which is in line with the prevalence of exacerbations in mixed socioeconomic status populations of pregnant women [10]. More than 50% of all exacerbations occurred by 20 weeks of gestation, which is interesting given that most studies of pregnancy, including our previous projects, do not recruit women until later in gestation (>18 weeks gestation) [7, 12] and miss an important early time point for intervention and maintaining asthma control. Our previous work in a mixed socioeconomic status population of pregnant asthmatic women observed a decrease in the frequency of exacerbations after 34 weeks gestation [5], but this may be due to study design rather than a real decrease over gestation. The current data suggest that the risk of poor asthma control and exacerbations continues until the end of pregnancy. This may be an effect specific to this particular population or it could be due to a major strength of this particular study in collecting data on asthma outcomes up until delivery.
Loss of control and in particular recurrent loss of control as measured at each visit appears to have a greater impact on perinatal outcome in this population of women. Aside from all the problems associated with social disadvantage, the risks for a loss of control were age, BMI, cigarette use and ICS use, which are similar to previous studies examining risk factors associated with exacerbations [5]. A population-based study of 4434 asthmatic women examined ICS treatment pre-pregnancy and during pregnancy [25]. It was found that 50% of all women stopped or reduced their ICS intake with pregnancy and 8.2% exacerbated with cessation, while 20% of all other women exacerbated. Women using ICS were more likely to exacerbate, which is due to the confounder of asthma severity [25]. Severe asthma increases the requirement for ICS treatment and asthma severity increases the risk of an exacerbation. In our cohort, women with recurrent loss of control are probably similar to findings from previous studies [25] in that ICS use is a reflection of asthma severity, and therefore, they are more susceptible to worsening disease in pregnancy especially if there is a lack of compliance with medication. Previous work has demonstrated that cigarette use in pregnancy is associated with worsening asthma and an increased incidence of exacerbations [15], which may also apply to an increased risk of loss of control as demonstrated in this study. Age being a risk factor is interesting, but may be an interaction with asthma and smoking as the combination of these factors are known to contribute to more airway obstructions with age [26].
There was a high prevalence of overweight and obese women in the current study population, which is in line with state wide prevalence. There is some data to suggest overweight and obesity is associated with worsening asthma in nonpregnant adults [27]. Overweight or obesity may both impact on the airway via similar mechanisms that include systemic inflammation, airway hyperresponsiveness and the mechanical impact of weight itself on thoracic cavity function [28]. The data from this study suggests obesity itself has no impact on the risk of recurrent loss of control, but overweight women are at risk. This may be due to a difference in other risk factors such as smoking between obese and overweight women. Furthermore it may also be related to dietary intake in this population as we have reported recently that asthmatic women who consumed a diet high in fat, sugar and refined grains were twice as likely to have uncontrolled asthma during pregnancy regardless of BMI [29].
Poor perinatal outcomes associated with maternal asthma appeared to vary with fetal sex. In the current study we observed a greater incidence of SGA female babies in the presence of recurrent uncontrolled asthma. Previous studies have reported a higher incidence of SGA females with the combination of maternal smoking and asthma [30]. Several mechanistic studies have shown that there are sex-specific differences in the fetal response to maternal asthma that may be conferred by a difference in glucocorticoid sensitivity of the male and female placenta [31, 32]. These findings suggest males and females respond differently to the presence of maternal asthma and institute different strategies in relation to growth, which may also contribute to difference in perinatal outcomes.
Asthma was not observed to worsen in the presence of a female fetus in the current study, but previous studies have reported a higher incidence of maternal hospitalisations for asthma in women pregnant with a female [33], and reduced maternal lung function and an increased requirement for ICS in women pregnant with a female [7]. However, this remains controversial as large epidemiological studies did not find any difference in maternal exacerbations or daily ICS dose in asthmatic women pregnant with a male or female fetus [34].
While this study was sufficiently powered to assess asthma exacerbations and control during pregnancy, it was underpowered to examine less common perinatal outcomes such as preterm birth. The strengths of this study are reflected in the detailed and prospective collection of data on asthma status and perinatal outcomes. A key challenge related to studies involving asthmatic pregnancies lies in the accurate identification of asthma control status and exacerbations. While validated tools such as the ACQ can be used in the evaluation of asthma control at any point in time [23], no such validated tools are available for identifying exacerbations [35, 36]. A common approach for defining exacerbations has been to use any event requiring a hospital admission, emergency department presentation, an unscheduled visit to a doctor or a course of oral steroids due to asthma. How well each of these events relates to actual asthma control status remains unclear. For example, women who have greater self-awareness of potentially deteriorating asthma may more readily visit their doctor or the emergency department to seek additional help, while those with poor self-awareness may avoid seeking necessary additional help. This could lead to a situation in which those with greater health-seeking behaviours may appear to experience more exacerbations during pregnancy, but could in turn have better pregnancy outcomes as a result of subsequent improved asthma self-management. In contrast, those with impaired health-seeking behaviours may appear to experience fewer exacerbations, but have worse pregnancy outcomes due to poor asthma self-management. The results of this study in a socially disadvantaged population lend support to these criticisms of the common definition of asthma exacerbations and provide an argument for the preferred use of validated tools such as the ACQ, which does not rely on self-awareness or health-seeking behaviours for assessing asthma-related outcomes during pregnancy. Many previous studies required retrospective collection of exacerbation data from medical records [10, 37, 38] and we speculate, based our current data, that while exacerbations identified from medical records may be a surrogate marker for persistently poorly controlled asthma during pregnancy, their predictive value in identifying persistently poorly controlled asthma during pregnancy could be biased by the characteristics of the population being studied. Therefore, a major strength of this study is that it provides new evidence that chronically or persistently uncontrolled asthma may be a greater driver for poor perinatal outcomes than an acute exacerbation.
Conclusion
The current study provides some new and novel insights into the course of asthma during pregnancy, especially the identification that 50% of all exacerbations and losses of control occur before 20 weeks of gestation. This highlights the need for clinicians to focus on maintaining asthma control during pregnancy through the introduction of asthma education and self-management skills pre-pregnancy to avoid early gestation events that may detrimentally affect placentation and fetal growth. Interestingly, recurrent uncontrolled asthma had the greatest impact on perinatal outcomes, rather than exacerbations, suggesting there is a need for asthma management support during pregnancy to ensure women can maintain asthma control. We speculate that in combination with the identified risk factors for recurrent uncontrolled asthma reported in this paper, which include body weight, cigarette use, ICS use and maternal age, there may also be financial stressors, different purchasing priorities and poor health literacy that could influence ICS use and adherence in this socially disadvantaged population. The key to resolving these issues is to have a more structured approach to asthma education and self-management pre-pregnancy and then a clinically integrated service that encompasses respiratory care with antenatal care.
Acknowledgements
The authors would like to acknowledge the valuable contributions made towards the collection and recording of data used in this study by the following individuals: Karen Rogers, Nicolette Hodyl, Natalie Aboustate, Kate Roberts-Thomson, Annette Osei-Kumah, Sarah Riley, Joshua Taverner, Logesh Palanikumar, Thu Nguyen, Zach Stolz, Gordon Goh, and Melissa Liu (University of Adelaide, Adelaide, Australia).
Footnotes
Support statement: The project was funded by the University of Adelaide. Salary support was provided through a National Health and Medical Research Council Senior Research Fellowship (APP1041918 to V.L. Clifton) and National Health and Medical Research Council Australian Public Health Fellowship (APP1070421 to L.E. Grzeskowiak). Funding information for this article has been deposited with FundRef.
Conflict of interest: None declared.
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