1. Introduction
Anxiety disorders are an emerging pathology characterized by excessive fear and anxiety along with related behavioral problems that are severe enough to cause significant distress or impairment in personal, family, and social [
1] functioning of those who suffer from them. Recently, it has begun to be recognized as a comorbidity that affects the evolutionary course of other diseases, such as Chronic Obstructive Pulmonary Disease (COPD), where it can significantly alter the clinical expression of the disease. The overlap between high levels of comorbidity and COPD is associated with a poor clinical and prognostic outcome [
2]
The prevalence of anxiety in the adult population ranges from 6.7% to 13% [
3] being 9.2% in women [
4] The prevalence in patients with COPD is highly variable, ranging from 6% to 70%, depending on the type of population [
5], the severity of the disease [
6] and the instruments used for diagnosis, but it is higher than that observed in the healthy population: various authors have also reported an anxiety prevalence in COPD patients of around 44% [
7,
8].
A patient with COPD has a 2.5 times higher risk of experiencing anxiety than the general population [
9,
10] Underner et al. [
11] in a systematic review of 152 articles published in the Revue des Maladies Respiratoires, found an anxiety prevalence ranging from 6.7% to 58% in COPD patients and observed positive associations with an increased risk of respiratory exacerbations. Another systematic review by Pooler and Beech [
12] observed an increased risk of exacerbations, longer hospital stays, and a higher risk of mortality.
Perpiña-Galvan [
13] points out that “many researchers believe that a systematic assessment of possible psychological disorders such as anxiety and depression should be part of the management of respiratory disease. Despite the evident relationship between anxiety and respiratory disease, anxiety disorders remain underdiagnosed and undertreated in respiratory patients”.
Despite the evidence showing a high prevalence and exceedingly negative impact of depression and anxiety in patients with COPD, depression and anxiety are rarely screened in clinical practice. Possible explanations for these findings are that depression and anxiety are not routinely screened in medicine clinics, or that the patients may not report their depression and anxiety symptoms to their doctors [
14]. In view of these facts this study proposed to evaluate the anxiety prevalence in COPD patients referred from Primary Care Centers to Pulmonology Services, as well as the existence of predictive factors that could alert doctors responsible for the diagnosis and monitoring of COPD to this possibility.
2. Materials and Methods
The study protocol has been previously published in another study on depression and COPD [
15].
2.1. Ethical Aspects
The study has been approved by the Clinical Research Ethics Committee (CEIC) of the Health Area of Salamanca (Código 2020-03-455). All participants signed an informed consent form prior to the study in accordance with the Declaration of Helsinki and World Health Organization standards for observational studies [
16]. During the development of this study, no alteration was required in the medical procedures for which the patients attended medical consultations. Patient data were treated confidentially in accordance with the provisions of current legislation on personal data protection and conditions contemplated by Act 14/2007 on biomedical research [
17]. The patients were informed of the proposed objectives and benefits of the project, and they were free to withdraw from the study at any time.
2.2. Patients and Study Design
The patients recruited for the study were referred from two primary care centers to their reference pulmonology services, departments that share care for COPD patients. For the diagnosis and classification of COPD, the recommendations of the GesEPOC [
18] and GOLD [
19] guidelines in effect in 2022 were followed.
Observational, multicentric, prospective with non-probabilistic sample, and transversal study. All patients were included during a consecutive period of six months, regardless of age, sex, stage of their COPD or treatment.
Patients who agreed to participate underwent a complete respiratory history, an updated smoking history, and spirometry with a bronchodilator test to verify that they met the diagnostic criteria for COPD. The diagnosis of anxiety was made using the corresponding scale of the HADS [
20] test based on the Spanish validation [
21] and previous studies carried out with said scale [
22]. The cutoff point for establishing the suspicion of anxiety is set at a value greater than 7.
2.3. Statistical Analysis
For the descriptive analysis, absolute and relative frequencies of all qualitative variables and the mean and standard deviation for quantitative variables were determined. The comparison of scores was performed using the student’s t-test for independent samples.
The analysis of factors influencing the psychiatric diagnosis was conducted using binary logistic regression. In each situation, to estimate the risk in a univariate manner, the Odds Ratio (OR) with its corresponding 95% confidence intervals was used. Finally, for the evaluation of predictors of anxiety, a multivariate analysis was conducted using logistic regression, including the significant variables from the binary analysis and another multivariate analysis of all the variables included in the study.
The criterion for significance was set at p < 0.05. All statistical analyses were performed using IBM SPSS Statistics software version 20 (International Business Machines, Armonk, NY, USA) under the supervision of company Cenit Support Systems S.L.U. (
http://www.cenitss.es/) of the business campus of the University of Salamanca.
3. Results
The study included 229 men and 64 women with a mean age of 68.2±10.3 years (range 40 to 91). The mean height was 165.8±8.6 cm (range 140 to 191), the mean weight was 74.4±15.4 kg (range 38 to 165), and the mean body mass index was 27 (range 18 to 45). 127 patients live in rural areas and 166 in urban areas; 47 patients (19.5%) live alone.
At the time of inclusion in the study, 93 patients (31.7%) were still smoking and 200 (68.3%) were not, although all had been smokers with an average consumption of 25.5±13.6 cigarettes/day, an average smoking history of 39.7±11.5 years, corresponding to a pack-year index (PYI) of 50.7±29.9. For the ex-smokers, the mean number of years since they quit smoking was 11.7±0.7.
The mean time from COPD diagnosis to inclusion in the study was 6.6±6.4 years. The predominant symptom was exertional dyspnea grades II and III on the mMRC (modified Medical Research Council) scale (29.7% and 18.9%, respectively); the mean BODEx index value was 2.93±1.99. In the past year, 52.6% of the patients had experienced an exacerbation (mean of 2±1.4).
Regarding the severity of airway obstruction, according with GOLD Guidelines, 127 patients (43,4%) had moderate and 98 patients (33,45%) had severe obstruction. Another 42 patients (14.33%) had mild obstruction, and 26 (8.87%) had very severe obstruction."
According to the criteria of the Spanish COPD Guidelines (GesEPOC) [
17], 64.5% of the patients were classified as high-risk and 35.5% as low-risk; the most frequent phenotype was the exacerbator with emphysema (109 patients: 37.2%) and the least frequent was the mixed phenotype (20 patients: 6.8%).
Based on the classification of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) valid until 2022 [
18], the distribution of patients across different groups was observed. The results were as follows: Most frequent groups (B and D): 169 patients (57.7%); these groups include patients with more symptoms. Less frequent groups (A and C): 124 patients (42.3%); these groups include patients with fewer symptoms.
The average score on the COPD Assessment Test (CAT) was 14.6±6.9 points. The clinical impact was analyzed according to the same scale used by Jiménez et al [
23]. Thus, 83 patients (28.3%) reported no impact on their quality of life or very low impact (CAT: ≤ 10), and 210 patients (71.7%) reported an impact. Of these, 162 patients (55.3%) had a moderate impact (CAT: 11-20), 40 patients (13.6%) had a high impact (CAT: 21-30), and 8 patients (2.73%) had a very high impact (CAT: 31-40).
The assessment of anxiety was conducted using the HADS test.
Table 1 summarizes the results of the Hospital Anxiety and Depression Scale (HADS) for anxiety. The participants are divided into three groups based on their scores: 7 or less, between 8 and 10, and 11 or more. The table shows the frequency and percentage of participants in each group, along with the mean score and the p-value for each group. The p-value indicates statistical significance, with all values being 0.000.
Table 1 presents the observed results on the anxiety scale of the HADS test. The cutoff point for establishing the suspicion of anxiety is set at a value greater than 7. Frequency analysis shows 208 patients without anxiety. A diagnosis of suspected anxiety was established in 85 patients (29.0%): 17 possible and 68 with a strong suspicion.
Out of the 293 patients, 27 (9.2%) had a prior clinical diagnosis of anxiety established by a mental health unit, while 266 did not.
Table 2 shows the average scores in each of the three groups studied. Despite the large difference in the number of patients with a prior diagnosis compared to the other two groups, the observed differences were significant. The average score was 4.9 points higher for patients with a prior diagnosis of anxiety compared to the non-diagnosed group, confirming the usefulness of the test used.
Bivariate and multivariate analyses were conducted to determine the influence of the variables included in the study on the likelihood of patients suffering anxiety.
Table 3 summarizes the results of the logistic regression analysis for predictors of anxiety. It includes the Wald statistic, p-value, odds ratio (OR), and the 95% confidence interval (CI) for each variable.
Only personal factors such as being female, weight, and BMI showed significant influence. The Wald test indicates that being female has a positive influence (higher probability), while weight and BMI have an inverse influence, meaning that lower weight is associated with a higher probability of experiencing anxiety. The risk analysis shows that women are 3.5 times more likely to experience anxiety than men. Regarding weight, the value is less than 1, indicating that for each kilogram less in weight, the risk of experiencing anxiety increases by one point (1/0.955 = 1.047), and the same applies to BMI (1/0.907 = 1.102). The influence of these last two variables disappears in the multivariate analysis, with only being female remaining as a predictive factor.
The analysis of the results shows that personal variables such as age and form of residence (urban or rural) did not have a significant impact. Similarly, variables related to tobacco consumption, clinical manifestations, lung function, and disease classification according to GesEPOC (both phenotype and risk) or GOLD did not show a significant influence. Although a trend was observed in some cases, it was not strong enough to be considered influential.
4. Discussion
The definitive diagnosis of mental disorders is clinical and performed by psychiatrists in Mental Health Units through a structured psychiatric interview. However, there is a wide range of tests available, including the HADS, which facilitates the establishment of a presumptive diagnosis and allows for the referral of the patient to a psychiatrist for a definitive diagnosis and subsequent joint follow-up. In a previous study by González et al. [
24], a high concordance was found between a positive HADS (using the same cut-off points as in our study) and the confirmatory psychiatric diagnosis of anxiety (Cohen's Kappa index of 0.885, p < 0.001). Therefore, due to its simplicity, the HADS test may be useful for use by clinicians who are not experts in diagnosing psychosocial disorders.
Mental disorders are more prevalent in patients with COPD than in the general population, and more so in women than in men [
25]. Anxiety and depression are underdiagnosed in this group of patients, and anxiety is possibly even more underdiagnosed than depression.
Brenes indicated in Psychosom. Med. in 2003 [
26] that anxiety was three times more common in patients with COPD than in the general population. However, as we have already noted, the reported prevalence is highly variable: 5.6% in the study by Kull et al. [
27], 26.5% in the study by González-Gutiérrez et al. [
28] and 8.1% in the most recent study by Xiao et al. [
29]. The prevalence observed in our study, using the HADS test and setting the scale cut-off point at ≥8, was 28.9%, with a total of 85 patients scoring eight points or higher. This is close to the prevalence found by González-Gutiérrez et al. [
24] with a population group similar to ours [
15]. It is noteworthy that in our study only 27 patients (9.2%) had an established anxiety diagnosis, leading to the conclusion that there was significant underdiagnosis in the studied population. The EPISCAN II study [
30], a population-based study that also used the HADS test, observed an anxiety prevalence of 27.4% in the COPD group.
When studying the psychiatric comorbidities that influence COPD, depression is more commonly considered than anxiety. In contrast, the opposite is true for asthma, possibly due to a gender bias resulting from the higher prevalence of asthma in women and COPD in men. However, anxiety is a common comorbidity in COPD and has a significant impact on the quality of life and survival of these patients. In fact, the COTE index (COPD Specific Comorbidity Test) includes anxiety among the specific comorbidities associated with COPD that determine increases in mortality [
31].
An important aspect is to analyze the existence of possible predictive factors that could serve as warning signs for clinicians to suspect the possibility of anxiety. In this regard, only a few personal factors such as being female, weight, and BMI showed significance, while other personal factors such as age, which had shown significance in the study by González et al. [
24], did not show a relationship in our study. Regarding disease-related factors, they did not show a significant influence, although there was a trend related to the greater severity of the disease, which makes early identification of anxiety in these patients more challenging.
These results contrast with those observed by our research group in relation to depression [
15], in which the number of personal factors that showed influence included age and living alone. Additionally, other aspects related to the disease itself, such as the CAT score, BODEx index, degree of bronchial obstruction, phenotype, and risk factor (GesEPOC), as well as GOLD classification grades C and D, also showed significance.
Anxiety is more prevalent in women, while COPD is more prevalent in men, leading to few women being included in studies on patients diagnosed with COPD. Mayoral et al. [
32] observed that among women diagnosed with COPD, 43.1% had a history of anxiety. In our study, only 21.8% of the participants were women; however, this is a higher percentage than observed in other studies. The fact that being female is consistently reaffirmed as a predictive factor in all analyses conducted gives greater significance to this finding.
Smoking cessation and pulmonary rehabilitation have been shown to be the only factors capable of modifying the evolutionary course of COPD. Bronchodilator treatment improves the quality of life for these patients and reduces their perception of dyspnea. However, in the case of patients with comorbid anxiety, treating the anxiety could improve their perception of dyspnea in particular and contribute to an overall improvement in quality of life. Despite this, less than one-third of patients with COPD receive adequate treatment for anxiety. This aspect was not addressed in our study, but it is one of the factors to be considered in future research.
The most updated versions of COPD management guidelines, such as GesEPOC [
18] and GOLD [
33], recommend a specific assessment of the psychosocial status of these patients. However, these recommendations are far from routine clinical practice, likely due to multifactorial causes including diagnostic difficulty. Therefore, it is of interest to have simple tests that can guide the diagnosis of anxiety and allow for the referral of patients to Mental Health Units.
5. Conclusions
Anxiety is a prevalent mental illness in patients with COPD, but is underdiagnosed. The use of simple tools like the HADS test could facilitate diagnostic suspicion and the referral of patients to mental health units. A multidisciplinary approach involving family medicine, pulmonology, internal medicine and psychiatry would be a strategic alliance that could help improve the health status of COPD patients and the overall course of the disease.
Author Contributions
Conceptualisation: E.B., M.A.H.M., J.O. Investigation: E.B., V.H., M.A.H.M, R.C. J.G. Resources, E.B., M.A.H.M. and Cenit Support Systems; Supervision: E.B., M.A.H.M. J.O. Writing: E.B., V.H. R.C.; Writing— review and editing, R.C., J.O., M.A.H.M. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by grants from Spanish Society of Pneumology and Regional Health Management (SACyL)
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Clinical Research Ethics Committee (CEIC) of the Health Area of Salamanca, Spain.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
HADS Anxiety Scale Results.
Table 1.
HADS Anxiety Scale Results.
Score Range |
Frequency |
Percentage |
Mean Score |
P-value |
≤ 7 |
208 |
70,98 |
2.76 ± 2.3 |
< 0,000 |
8-10 |
17 |
5,74 |
8.35 ± 0.5 |
< 0,000 |
≥ 11 |
68 |
23,2 |
12.92 ± 2.3 |
< 0,000 |
Table 2.
Mean Scores by Groups on the Anxiety Scale of the HADS Test.
Table 2.
Mean Scores by Groups on the Anxiety Scale of the HADS Test.
Group |
Frequency |
Percentage |
Mean Score |
P-value |
Global Population |
293 |
100 |
5.45±4.8 |
|
Without Prior Anxiety Diagnosis |
266 |
90,8 |
4,20 ± 4,18 |
p=0.000 |
With Prior Anxiety Diagnosis |
27 |
9,2 |
9,18±4,66 |
p=0.000 |
Table 3.
Variables that showed influence in the bivariate análisis.
Table 3.
Variables that showed influence in the bivariate análisis.
Variable |
Wald |
p-value |
OR |
95% CI |
Female |
2,897 |
0,004 |
3,518 |
1.502 - 8.241 |
Weight |
-2,840 |
0,005 |
0,955 |
0.926 - 0.986 |
BMI |
-2,151 |
0,031 |
0,907 |
0.829 - 0.991 |
|
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