Efficacy and Safety of Escitalopram in Alleviating Depression and Anxiety Symptoms in COPD Patients: A Randomized Double-Blind Placebo-Controlled Trial

Introduction

Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous pulmonary disease, which is characterized by chronic respiratory symptoms and persistent, often progressive, airflow obstruction.1 It is considered as one of major threats to global public health due to its high prevalence (up to 10.3%, with nearly 100 million patients in China),2,3 high rates of disability and mortality,4 and heavy economic and social burdens.5 Emerging evidence from clinical practice and research indicates that multimorbidity, defined as the coexistence of two or more chronic conditions, is a key characteristic of COPD.6 COPD-associated comorbidities are often underrecognized due to overlapping clinical symptoms and are inadequately managed, exacerbating the disease burden.7 This leads to a poor quality of life, increased hospitalizations, and significantly higher mortality among COPD patients with comorbidities compared to mortality directly attributed to severe airflow obstruction.7–9 Therefore, the recognition and management of COPD-associated comorbidities should receive greater attention in the management of the people with COPD.

Anxiety and depression are significant and frequently observed comorbidities in individuals with COPD. Among stable COPD patients, the prevalence of anxiety ranges from 13% to 46%, while depression affects 10% to 42% of this population10 Notably, these two conditions often coexist in COPD patients, with a combined prevalence reaching as high as 43%.11 Unfortunately, anxiety and depression are often difficult to identify and are under-diagnosed because their symptoms frequently overlap with those of COPD, resulting in a low proportion of COPD patients receiving appropriate anti-depression and anxiety treatment.12–14 Extensive research has demonstrated that anxiety and depression are strongly associated with diminished quality of life, an increased risk of COPD exacerbations, and higher mortality rates.15,16 Conversely, poorer quality of life, dyspnea, and the economic burden resulting from frequent hospitalizations further exacerbate the severity of anxiety and depression, thereby creating a vicious cycle.17–19 Therefore, anxiety and depression in COPD patients need to be promptly identified and adequately treated.

Therapy of anxiety and depression in patients with COPD remains a formidable challenge. Current management strategies include both non-pharmacological and pharmacological interventions. In addition to long-term telerehabilitation,20,21 behavioral interventions, and psychological or lifestyle interventions22 have shown promise in improving mild depression and anxiety. However, these non-pharmacological approaches are often resource-intensive and may be insufficient for patients with moderate-to-severe symptoms. Regarding pharmacotherapy, traditional agents present significant drawbacks. Benzodiazepines are associated with a risk of exacerbations of their COPD, and respiratory tract infections.23–25 Similarly, tricyclic antidepressants (TCAs) carry anticholinergic and cardiovascular side effects that may exacerbate comorbidities.26 Given these limitations, selective serotonin reuptake inhibitors (SSRIs) are considered a first-line approach due to their more favorable safety profile.27,28 Despite this, evidence for specific SSRIs remains inconsistent.

Escitalopram, a representative SSRI, has demonstrated superior acceptability, effectiveness, and safety in managing psychiatric symptoms across various chronic conditions, including stroke29 and coronary heart disease.30–32 However, evidence regarding its use in the COPD population is remarkably scarce. Previous studies on other SSRIs, such as sertraline, have shown only limited benefits with a small reduction in COPD-related depressive symptoms over six weeks.33 Consequently, the effectiveness and safety of escitalopram in patients with COPD remain unknown.

The aim of this study is to evaluate the efficacy and safety of escitalopram in the treatment of depression and/or anxiety in patients with COPD in a randomized, double-blind, placebo-controlled clinical trial during a 12-month study period, as well as other secondary outcomes.

Methods Study Design

This was a randomized, double- blind, placebo-controlled trial involving 150 subjects with COPD complicated by moderate or severe anxiety and/or depression. Each subject was followed up for 1 year from the date of enrolment and received escitalopram or placebo.

Sample size calculation was based on the primary endpoint (HAMD-17) using a two-sided significance level (α) of 0.01 and 90% power. Assuming a mean difference of 4.0 points (exceeding the MCID of 2–334,35 and a standard deviation of 5.7,36,37 61 patients were required per group. To allow for 18–20% attrition, the final target was set at 75 patients per group (Total n = 150).

Eligibility and Exclusion Criteria

Enrollment occurred from November 2018 to July 2019. Subjects were recruited from stable COPD outpatients or hospitalized COPD patients who had achieved clinical improvement or stabilization and were deemed eligible for discharge from the Xinqiao Hospital. The inclusion criteria are as follows: (1) subjects age between 40 and 80 years; (2) subjects had COPD, defined by a post-bronchodilator FEV1/FVC < 0.70; (3) moderate or severe anxiety and/or depression (Hamilton Anxiety Rating Scale (HAMA-14)> 21, Hamilton Depression Rating Scale (HAMD-17) > 17). The anxiety and depression of these patients were assessed by psychiatrists and trained physicians in a blinded status; (4) Anxiety and/or depression occurred after COPD diagnosis; (5) subjects were capable of providing signed written informed consent.

Subjects were excluded if they met one or more of the following criteria: (1) Experience of significant family or personal upheaval (eg bereavement, financial crisis) within the previous three months; (2) Any clinically relevant lung disease, including asthma, advanced pulmonary malignancies, or active tuberculosis; (3) Comorbid other serious diseases, such as neurological, endocrine, haematological, hepatic, or renal pathologies, as well as metastatic malignancies; (4) concurrent psychiatric diagnoses such as schizophrenia spectrum disorder or bipolar affective disorder; (5) alcohol or drug abuse; (6) cognitive deficits that interfere with understanding of the study protocol or completion of questionnaires; (7) current enrolment in competing clinical trials; (8) pharmacological regimens with contraindications to escitalopram; (9) they were currently receiving anti-anxiety or antidepressant treatment (including psychotherapy) or had received such treatment within 6 months prior to screening.

Randomization and Masking

Subjects were randomized to escitalopram or placebo in a 1:1 ratio using permuted block randomization with a block size of 4. The vials for escitalopram and placebo tablets were indistinguishable in external appearance, and texture. All study individuals, including physicians, psychiatrists, outcome assessors, independent monitors and investigators, remained blinded to treatment allocation throughout the study. Blinding was maintained until the final data collection and database closure, followed by formal unblinding procedures.

Study Procedures

Considering the elderly demographic and respiratory comorbidities of our cohort, we opted for a conservative 4-week intervention to ensure safety and compliance. Subsequently, participants underwent an 11-month observational follow-up without maintenance study medication. Prescribing information recommends that individuals over 65 years of age initiate treatment at 5 mg/day, with a maximum dosage not exceeding 10 mg/day. Since therapeutic effects are typically achievable within 2 to 4 weeks, a 4-week period was selected. Additionally, consulting psychiatrists and pharmacists advised tapering the dosage to 5 mg/day in the final week to prevent adverse reactions associated with abrupt discontinuation.

Subjects received 5 mg of escitalopram or matching placebo daily for the first week, followed by a dose escalation to 10 mg daily for the next two weeks. In the fourth week, the dosage was tapered to 5 mg/day to minimize withdrawal risks. Cessation was determined by the study protocol rather than individual clinical criteria; thus, all participants followed this fixed-duration regimen.

Scheduled psychiatric evaluations were conducted at baseline, Month 1, Month 6, and Month 12. Subjects were required to attend in-person visits at baseline and at the 12-month endpoint. For the Month 1 and Month 6 follow-ups, data were collected via telephone interviews or outpatient visits.

All assessments were conducted by psychiatrists and physicians working in a blind fashion, using standardized guidelines to address potential adverse effects. At baseline, participants underwent spirometry and completed validated questionnaires, including the COPD Assessment Test (CAT) and the modified Medical Research Council Dyspnea Scale (mMRC), and the Smoking Index (SI) was recorded, which was defined as the number of cigarettes smoked per day multiplied by the number of years of smoking. Severity of anxiety and depression was assessed using the HAMD-17 and the HAMA-14, administered jointly by psychiatrists and trained physicians. The minimal clinical important differences (MCID) of CAT score between 2–3 points,38 and MCID of HAMD-17 between 2–3 points.34,39 These measurements were repeated at the 1-month, 6-month, and 1-year follow-ups. To minimize subjects’ loss to follow-up, internists collaborated with the participants’ family physicians to facilitate monthly communication. This approach was designed to enhance participant management and tracking while increasing motivation to remain engaged in the study.

In addition, as some participants experienced recurrent exacerbations of anxiety and depression during the follow-up period, temporary, symptom-based interventions were provided based on psychiatrists’ recommendations.

Outcome Measures

The primary outcome was defined as the change in total HAMD-17 and HAMA-14 scores from baseline to Month 1. Secondary outcomes included changes over the 12-month period in the mMRC dyspnea scale score, the CAT score, and the percent predicted forced expiratory volume in 1 second (FEV1% predicted). Safety and tolerability were assessed by monitoring the incidence rates and severity grading of adverse events, which were systematically documented throughout the follow-up period and reported according to the National Medical Products Administration (NMPA) criteria.

Statistical Analysis

All statistical analyses were performed using SPSS version 27.0 (IBM Corporation, Armonk, NY). Baseline characteristics were summarized based on the intention-to-treat (ITT) principle, including all randomized participants (n =150). Continuous variables are presented as mean ± standard deviation (SD) or median (IQR) according to their distribution, while categorical variables are expressed as frequencies and percentages. Baseline intergroup comparisons used independent samples t-tests for normally distributed continuous variables, Pearson’s chi-square tests for binary variables, and the Mann–Whitney U test for ordinal variables.

Primary efficacy analyses were conducted on the full analysis set (FAS), defined as all randomized participants who received at least one dose of the study medication and provided at least one valid post-baseline efficacy assessment (n = 146). The Generalized Estimating Equations (GEE) model was employed for primary and secondary endpoints to evaluate treatment-related differences in mean changes from baseline to follow-up, utilizing all available longitudinal data. The GEE models specified a linear link function with a first-order autoregressive (AR1) working correlation structure and were adjusted for clinically relevant covariates: age, body mass index (BMI), smoking index (SI), and baseline FEV1% predicted.

To assess the robustness of the primary treatment effect on HAMA-14 and HAMD-17 scores at Month 1, an analysis of covariance (ANCOVA) was performed as a sensitivity analysis. The ANCOVA model included the treatment group as a fixed factor, adjusting for the corresponding baseline score, age, BMI, SI, and FEV1% predicted. Effect sizes for ANCOVA are reported as partial eta-squared (ηp2), interpreted as small (0.01), medium (0.06), and large (0.14) effects.40

Subgroup analyses stratified by clinical setting (inpatients vs outpatients) were conducted within the GEE framework. These models incorporated a three-way interaction term (subgroup × treatment group × time) to test for potential effect modification, adjusting for the same covariates as the primary analysis.

For the correlation analysis between short-term psychological improvement (change in HAMA-14/HAMD-17 from baseline to Month 1) and long-term COPD health status (change in CAT score from baseline to Month 12), multiple imputation was used to handle missing data. Spearman’s rank correlations were calculated for each imputed dataset. The resulting correlation coefficients were Fisher’s z-transformed, pooled using Rubin’s rules, and then back-transformed to present the final Spearman’s ρ with 95% confidence intervals. A two-tailed P-value of <0.05 was considered statistically significant.

Results

Between November 2018 and July 2020, 150 out of 323 screened subjects met eligibility criteria, provided informed consent, and were included in the intention-to-treat (ITT) population. Among these, 136 participants (90.67%) completed the study, per the CONSORT flow diagram (Figure 1). Baseline demographic and clinical characteristics are shown in Table 1. The escitalopram and placebo groups demonstrated balanced demographic profiles at enrollment, with no statistically significant differences in age, sex, or baseline BMI (all p > 0.05). Furthermore, comparable baseline measures of COPD severity, depressive symptoms, and anxiety severity were observed between treatment arms (p > 0.05 for all comparisons). We confirmed that no participants continued specific antidepressant or anxiolytic therapy after the initial 4-week intervention period. No participants reported initiating new psychotropic treatments, nor did they actively seek external psychiatric consultations to obtain such prescriptions from other institutions.

Table 1 Baseline Characteristics of Study Participants

Figure 1 Study flowchart.

Longitudinal analysis using Generalized Estimating Equations (GEE) demonstrated that escitalopram provided significant and sustained improvement in anxiety and depression symptoms compared to placebo (Figure 2A and B and Supplementary Table 1). Significant group-by-time interactions were observed for both HAMA-14 and HAMD-17 scores (all p <0.001), indicating distinct symptom trajectories between the two groups over the 12-month period. In the escitalopram group, HAMA-14 and HAMD-17 scores decreased significantly from baseline at Month 1, Month 6, and Month 12. Specifically, after 4 weeks of treatment, the escitalopram group showed marked reductions (HAMA-14: mean change −9.25, 95% CI −9.67 to −8.82; HAMD-17: −7.37, 95% CI −7.74 to −7.01; both p <0.01). These improvements were maintained at the 12-month follow-up (HAMA-14: −4.75, 95% CI −5.40 to −4.10; HAMD-17: −3.43, 95% CI −3.99 to −2.86; both p <0.01). In contrast, while the placebo group exhibited smaller but statistically significant improvements at Month 1 (HAMA-14: −2.20; HAMD-17: −1.37; both p <0.01), these effects were transient. By Month 12, changes from baseline in the placebo group were no longer statistically significant (HAMA-14: p =0.45; HAMD-17: p = 0.12). Additionally, analysis of Covariance (ANCOVA) confirmed the robustness of the primary endpoint at Month 1. Escitalopram demonstrated superiority over placebo with large effect sizes (partial η2 >0.14). The adjusted mean differences were −7.13 (95% CI −7.64 to −6.62) for HAMA-14 and −6.08 (95% CI −6.57 to −5.58) for HAMD-17 (Supplementary Table 2).

Figure 2 Longitudinal changes in anxiety and depression scores over 12 months in patients with COPD. (A) HAMA-14 scores. (B) HAMD-17 scores. Data points represent the mean scores, and error bars indicate the standard error (SE). ***, p <0.001 for the comparison between the escitalopram and placebo groups at the specified time points.

We evaluated the impact of treatment on COPD-specific health status and lung function using the adjusted GEE model (Supplementary Table 3). For the CAT score, a significant group-by-time interaction was observed (p <0.001). Although between-group differences were not significant at Month 1 or Month 6 (both p >0.05), the escitalopram group achieved a significantly lower adjusted mean score than the placebo group at Month 12 (13.30 vs 16.22; adjusted mean difference −2.93, 95% CI −4.13 to −1.73; p <0.001). Furthermore, the within-group reduction from baseline to Month 12 was substantially greater with escitalopram (Δ=−6.20, p <0.01) than with placebo (Δ=−2.79, p <0.01). Conversely, no significant group-by-time interactions or between-group differences were found for mMRC scores or FEV1% predicted at any time point (all p >0.05). Both groups showed small, significant within-group improvements in mMRC scores from baseline to Month 12 (p <0.01). For FEV1% predicted, a significant within-group improvement was observed only in the escitalopram group (Δ=3.70, p <0.05), whereas the change in the placebo group was not significant.

Subgroup analyses stratified by clinical setting (inpatients vs outpatients) were performed to assess the consistency of treatment effects (Figure 3 and Supplementary Tables 45). For the primary endpoints (HAMA-14 and HAMD-17), the three-way interaction terms (Time × Group × Clinical setting) were not statistically significant (HAMA-14: p =0.172; HAMD-17: p =0.236). This indicates that the longitudinal trajectory of the treatment effect relative to placebo was consistent across inpatient and outpatient settings. However, a significant two-way interaction (Group × Clinical setting) was noted for the HAMA-14 score (p =0.044), suggesting a potential difference in the magnitude of the overall treatment effect between settings, whereas no such interaction was found for HAMD-17 (p =0.835). Regarding secondary endpoints, the CAT score showed a pattern similar to HAMA-14: no significant three-way interaction (p =0.500) but a significant two-way interaction (p =0.006). No significant three-way or two-way interactions were observed for mMRC scores or FEV1% predicted (all p >0.05).

Figure 3 Forest plot of subgroup analyses by clinical setting. Estimates represent adjusted mean differences (MD) and 95% CIs derived from GEE models. The results reflect the average treatment difference across the full study period. For each specific subgroup (Inpatient/Outpatient), the point estimate denotes the adjusted MD within that setting; the corresponding p values test the treatment group × clinical setting interaction effect, which assesses whether the treatment effect differs statistically between the inpatient setting and the reference (outpatient) group. The Overall estimate (black diamond) reflects the adjusted MD for the total population, with its p value testing the main effect of treatment across all setting.

We also examined whether early psychological improvement predicted long-term COPD outcomes by analyzing the correlation between changes in psychiatric scores at Month 1 and changes in CAT scores at Month 12 (Table 2). Using pooled estimates from multiply imputed datasets, a strong positive correlation was identified. The reduction in anxiety (HAMA-14) from baseline to Month 1 was significantly correlated with the improvement in CAT scores at Month 12 (Pooled Spearman’s ρ=0.638, 95% CI 0.534 to 0.726, p <0.001). Similarly, early improvement in depression (HAMD-17) strongly correlated with long-term CAT reduction (Pooled ρ=0.639, 95% CI 0.531 to 0.728, p <0.001).

Table 2 Pooled Spearman Correlations Between Short-Term Symptom Improvement and Long-Term Health Status Change

The proportion of patients experiencing at least one mild or moderate adverse event was similar between escitalopram (9.33%) and placebo (2.67%) (p > 0.05). The most common AEs were insomnia (3 [4.00%] in the escitalopram group vs 2 [2.67%] in the placebo group), palpitations (3 [4.00%] vs 0 [0.00%]) and allergic reaction (1 [1.33%] vs 0 [0.00%]). No serious adverse events were observed in any patients (Table 3).

Table 3 Adverse Reactions During Treatment

Discussion

To the best of our knowledge, this is the first randomized, double-blind, placebo-controlled trial to evaluate the efficacy and safety of escitalopram for comorbid depression and anxiety in patients with COPD. Our results demonstrate that a short-term (4-week) course of escitalopram significantly alleviated depression and anxiety symptoms, with benefits emerging rapidly and, notably, persisting throughout the 11-month observational follow-up after treatment cessation. Furthermore, escitalopram treatment was associated with clinically relevant improvements in overall COPD-specific health status (CAT scores) by Month 12, despite no significant impact on physiological FEV1% predicted or mMRC. Adverse event rates were comparable to placebo, supporting the safety profile of this intervention in a comorbid COPD population.

Escitalopram is a widely recommended first-line treatment for depression and anxiety,41–45 and there is strong evidence for its use in patients with somatic comorbidities.29,31,32,46–48 Consistent with the above literatures, our findings confirm that escitalopram effectively reduces HAMD and HAMA scores. The rapid improvement we saw at Month 1 matches the known effects of SSRIs.29,49 Crucially, while anxiety and depression levels in the placebo group tended to revert to baseline post-cessation, the escitalopram group maintained their clinical gains up to Month 12. This trajectory suggests that early pharmacological intervention may have successfully interrupted the recursive “anxiety/depression-dyspnea” feedback loop.19 However, the improvement in our patients was modest compared to those with primary psychiatric disorders.50–52 This is likely due to two factors: the persistent physical burden of COPD,17,18 and our conservative dosing strategy to ensure safety in this elderly population.53

Previous studies showed that the treatment of comorbid anxiety and depression demonstrates therapeutic potential for enhancing quality of life and functional capacity in COPD patients.22,54 We observed a distinct dissociation between subjective health status and physiological parameters over time. While CAT scores improved significantly by Month 12, lung function (FEV1% predicted) and mMRC remained largely unchanged. This discrepancy suggests that escitalopram may improve treatment adherence and exercise tolerance, while reducing the “symptom amplification” inherent to comorbid COPD and anxiety/depression,55 rather than by changing respiratory mechanics. The delay in CAT score improvement likely reflects the time needed for behavioral adaptation. Although a 4-week course was too short to change physiological markers, it appears to have set patients on a positive path, possibly by boosting self-efficacy or adherence once their distress was relieved.

Our stratified analysis by treatment setting revealed notable differences in outcomes. For anxiety, inpatients showed a greater reduction in HAMA-14 scores compared to outpatients. This stronger response likely reflects higher baseline anxiety in hospitalized patients, which allows for a larger margin of improvement, or perhaps the added benefit of intensive monitoring in the inpatient setting. However, the pattern for CAT scores was different. Significant improvement in health status was seen only in the outpatient cohort, with no benefit observed in inpatients. This data suggests that in stable outpatients, treating anxiety effectively breaks the “anxiety/depression-dyspnea” feedback loop, thereby improving subjective respiratory symptoms. In contrast, for inpatients in the convalescent phase of an exacerbation, symptom relief is driven primarily by physiological recovery and intensive medical management rather than emotional (anxiety and/or depression) modulation. This robust physical improvement likely overshadowed the impact of anxiety or depression reduction on somatic COPD symptoms. These findings suggest that while escitalopram is effective for treating anxiety and depression in both settings, its additive benefit for somatic COPD symptoms may be less discernible during the dynamic recovery phase of an exacerbation compared to stable outpatient conditions.

The correlation analysis offers further insight into this recovery trajectory. The strong positive correlation between short-term psychological relief (Month 1) and long-term health status improvement (Month 12) identifies the first month of treatment as a critical “therapeutic window.” This “early response–long-term benefit” pattern implies that managing anxiety and depression is not merely an adjunct to COPD care but a driver of long-term symptomatic improvement. Mechanistically, rapid alleviation of depression and anxiety may break the vicious cycle of anxiety/depression-dyspnea early on, enabling patients to better engage with pulmonary rehabilitation, improve treatment adherence, and adopt lifestyle modifications that cumulatively improve CAT scores.

Given that the efficacy of different antidepressants in older adults may differ from that in younger adults due to age-related pharmacokinetic changes, polypharmacy risks, and high rates of medical comorbidity alter medication efficacy compared to younger populations.53 Therefore, safety is an important consideration when choosing an antidepressant/anxiety medication for COPD patients, most of whom are elderly and may have multiple comorbidities. Escitalopram demonstrates favorable tolerability in older adults with depression and anxiety disorders.56–58 Previous research confirms its safety in preventing depressive episodes among patients with acute coronary syndrome or stroke,48,59,60 while also effectively reducing anxiety and depressive symptoms in chronic conditions such as coronary heart disease (CHD).31,61 Consistent with the above literature, our results showed that a 4-week low-dose escitalopram treatment is safe for depression and/or anxiety in COPD patients, with only mild adverse effects (insomnia, palpitations, allergic reactions) observed. We did not use a higher dose (≥20mg) because previous studies have shown that higher doses may increase the risk of adverse events.58,62,63 Although several adverse events, such as falls, anorexia and respiratory harm,60,64,65 were not observed in this study, we still need to pay attention to these patients with COPD taking escitalopram, as these adverse events may be caused by COPD and its complications.

Our study has several limitations. First, as a single-center trial, the findings require validation in larger, multi-center studies to ensure their generalizability to broader populations. Second, potential biases from uncontrolled clinical variables must be considered. Specifically, patients who had recently used intravenous corticosteroids were not excluded. Since the treatment setting and steroid use can influence mood and symptom scores (eg, CAT and mMRC), these factors might affect the results, although randomization likely balanced these differences between groups. Third, FEV1% predicted data were not collected at Month 1 or Month 6. We limited testing to baseline and Month 12 to avoid burdening our elderly patients. Furthermore, as the intervention targets symptom perception rather than airflow, we did not anticipate immediate physiological changes in lung function; the stability observed at Month 12 supports this perspective. Finally, the 11-month follow-up was observational. Although participants stopped the study drug after Month 1, they were allowed to use other symptom-based treatments if needed. Thus, the long-term results reflect the clinical course following the initial intervention rather than demonstrating sustained pharmacological efficacy over the 11-month period.

Conclusion

In conclusion, short-term escitalopram treatment demonstrates both efficacy and safety in the management of comorbid depression and anxiety in stable COPD patients. The intervention significantly reduced symptoms within the 4-week active treatment phase, and notably, initiated a sustained positive clinical trajectory that was maintained for up to 11 months post-treatment. This study proposes a viable short-term intervention strategy to break the anxiety/depression-dyspnea cycle and alleviate long-term symptom burden in clinical practice.

Abbreviations

COPD, Chronic Obstructive Pulmonary Disease; SSRIs, selective serotonin reuptake inhibitors; HAMA, Hamilton Anxiety Rating Scale; HAMD, Hamilton Depression Rating Scale; CAT, COPD Assessment Test; FEV1% predicted, forced expiratory volume in one second percent predicted; ITT, intention-to-treat.

Data Sharing Statement

The datasets generated and analyzed during the current study are available from the corresponding author upon reasonable request.

Ethics Approval and Consent to Participate

Our study was conducted in accordance with the principles of the Declaration of Helsinki and received approval from the Medical Ethics Committee of Xinqiao Hospital of Third Military Medical University [2017-028-01]. Chinese Clinical Trial Registry number, ChiCTR1800017338). All participants were informed about the study procedures, and the trial conforms to the Consolidated Standards of Reporting Trials (CONSORT) statement.

Consent for Publication

All authors have read and approved the final version of the manuscript and give their consent for its publication.

Acknowledgments

The authors wish to thank all the staff and colleagues who contributed to this study.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Funding

This work was supported by Chongqing Municipal Science and Health Joint Medical Research Project (No. 2024GGXM001 to Guansong Wang, 2023QNXM045 to Wen Zhang), National Key Research and Development Program of the Ministry of Science and Technology of China (2016YFC1304500 to Guansong Wang), Young PhD Incubation Program of Xinqiao Hospital, Army Medical University (2023YQB021). Funding sources of this study had no role in the development and conduct of this research or in the writing of the manuscript.

Disclosure

The authors report no conflicts of interest in this work.

References

1. Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: 2025 report. 2025. Available from: https://goldcopd.org/2025-gold-report/. Accessed May26, 2025.

2. Adeloye D, Song P, Zhu Y, et al. Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis. Lancet Respir Med. 2022;10(5):447–458. doi:10.1016/S2213-2600(21)00511-7

3. Wang C, Xu J, Yang L, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China pulmonary health [CPH] study): a national cross-sectional study. Lancet. 2018;391(10131):1706–1717. doi:10.1016/S0140-6736(18)30841-9

4. Vos T, Flaxman AD, Naghavi M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2163–2196. doi:10.1016/S0140-6736(12)61729-2

5. Soriano JB, Kendrick PJ, Paulson KR, GBD Chronic Respiratory Disease Collaborators. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet Respir Med. 2020;8(6):585–596. doi:10.1016/S2213-2600(20)30105-3

6. Fabbri LM, Celli BR, Agustí A, et al. COPD and multimorbidity: recognising and addressing a syndemic occurrence. Lancet Respir Med. 2023;11(11):1020–1034. doi:10.1016/S2213-2600(23)00261-8

7. Divo M, Celli BR. Multimorbidity in patients with chronic obstructive pulmonary disease. Clin Chest Med. 2020;41(3):405–419. doi:10.1016/j.ccm.2020.06.002

8. Singh G, Zhang W, Kuo Y-F, Sharma G. Association of psychological disorders with 30-day readmission rates in patients with COPD. Chest. 2016;149(4):905–915. doi:10.1378/chest.15-0449

9. Lp M, J M, Ja A, Z M, Ra W. Ascertainment of cause-specific mortality in COPD: operations of the torch clinical endpoint committee. Thorax. 2007;62. doi:10.1136/thx.2006.072348

10. Wu D, Zhao X, Huang D, et al. Outcomes associated with comorbid anxiety and depression among patients with stable COPD: a patient registry study in China. J Affect Disord. 2022;313:77–83. doi:10.1016/j.jad.2022.06.059

11. Volpato E, Toniolo S, Pagnini F, Banfi P. The relationship between anxiety, depression and treatment adherence in chronic obstructive pulmonary disease: a systematic review. Int J Chron Obstruct Pulmon Dis. 2021;16:2001–2021. doi:10.2147/COPD.S313841

12. Ms R, T B, B S, et al. The impact of anxiety and depression in chronic obstructive pulmonary disease. Adv Resp Med. 2023;91. doi:10.3390/arm91020011

13. Yohannes AM, Alexopoulos GS. Depression and anxiety in patients with COPD. Eur Respir Rev. 2014;23(133):345–349. doi:10.1183/09059180.00007813

14. Siraj RA, McKeever TM, Gibson JE, Bolton CE. Incidence of depression and antidepressant prescription in patients with COPD: a large UK population-based cohort study. Respir Med. 2022;196:106804. doi:10.1016/j.rmed.2022.106804

15. Montserrat-Capdevila J, Godoy P, Marsal JR, et al. Overview of the impact of depression and anxiety in chronic obstructive pulmonary disease. Lung. 2017;195(1):77–85. doi:10.1007/s00408-016-9966-0

16. Calverley PMA, Walker PP. Contemporary concise review 2022: chronic obstructive pulmonary disease. Respirology. 2023;28(5):428–436. doi:10.1111/resp.14489

17. Martinez Rivera C, Costan Galicia J, Alcázar Navarrete B, et al. Factors associated with depression in COPD: a multicenter study. Lung. 2016;194(3):335–343. doi:10.1007/s00408-016-9862-7

18. Coventry PA, Gemmell I, Todd CJ. Psychosocial risk factors for hospital readmission in COPD patients on early discharge services: a cohort study. BMC Pulm Med. 2011;11(1):49. doi:10.1186/1471-2466-11-49

19. Pooler A, Beech R. Examining the relationship between anxiety and depression and exacerbations of COPD which result in hospital admission: a systematic review. Int J Chron Obstruct Pulmon Dis. 2014;9:315–330. doi:10.2147/COPD.S53255

20. Zanaboni P, Dinesen B, Hoaas H, et al. Long-term telerehabilitation or unsupervised training at home for patients with chronic obstructive pulmonary disease: a randomized controlled trial. Am J Respir Crit Care Med. 2023;207(7):865–875. doi:10.1164/rccm.202204-0643OC

21. Qiu Y-F, Hu J-S, Wu M, et al. The effects of tele-based interventions for depression and anxiety symptoms in patients with chronic obstructive pulmonary disease (COPD): a systematic review and meta-analysis. Gen Hosp Psychiatry. 2024;91:143–150. doi:10.1016/j.genhosppsych.2024.10.014

22. Panagioti M, Scott C, Blakemore A, Coventry PA. Overview of the prevalence, impact, and management of depression and anxiety in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2014;9:1289–1306. doi:10.2147/COPD.S72073

23. Currow DC, Agar MR. Benzodiazepine prescribing in people with chronic obstructive pulmonary disease: clinical considerations. Drugs Aging. 2020;37(4):263–270. doi:10.1007/s40266-020-00756-z

24. Simon ST, Mori M, Ekström M, Pralong A, Yamaguchi T, Hui D. Should benzodiazepines be used for reducing dyspnea in patients with advanced illnesses? J Pain Symptom Manage. 2023;65(3):e219–e223. doi:10.1016/j.jpainsymman.2022.11.018

25. Yohannes AM, Jin JW, Kunik ME. Benefit–risk assessment of psychotropic drugs in older patients with chronic obstructive pulmonary disease. Drugs Aging. 2022;39(5):323–332. doi:10.1007/s40266-022-00935-0

26. Sarchielli P, Mancini ML, Calabresi P. Practical considerations for the treatment of elderly patients with migraine. Drugs Aging. 2006;23(6):461–489. doi:10.2165/00002512-200623060-00003

27. Pumar MI, Gray CR, Walsh JR, Yang IA, Rolls TA, Ward DL. Anxiety and depression-Important psychological comorbidities of COPD. J Thorac Dis. 2014;6(11):1615–1631. doi:10.3978/j.issn.2072-1439.2014.09.28

28. Yin J, Song X, Wang C, Lin X, Miao M. Escitalopram versus other antidepressive agents for major depressive disorder: a systematic review and meta-analysis. BMC Psychiatry. 2023;23(1):876. doi:10.1186/s12888-023-05382-8

29. Yan N, Hu S. The safety and efficacy of escitalopram and sertraline in post-stroke depression: a randomized controlled trial. BMC Psychiatry. 2024;24(1):365. doi:10.1186/s12888-024-05833-w

30. Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet. 2018;391(10128):1357–1366. doi:10.1016/S0140-6736(17)32802-7

31. Blumenthal JA, Smith PJ, Jiang W, et al. Longer term benefits of exercise and escitalopram in the treatment of anxiety in patients with coronary heart disease: six month follow-up of the UNWIND randomized clinical trial. Am Heart J. 2022;251:91–100.

32. Blumenthal JA, Smith PJ, Jiang W, et al. Effect of exercise, escitalopram, or placebo on anxiety in patients with coronary heart disease: the understanding the benefits of exercise and escitalopram in anxious patients with coronary heart disease (UNWIND) randomized clinical trial. JAMA Psychiatry. 2021;78(11):1270. doi:10.1001/jamapsychiatry.2021.2236

33. He Y, Zheng Y, Xu C, et al. Sertraline hydrochloride treatment for patients with stable chronic obstructive pulmonary disease complicated with depression: a randomized controlled trial. Clin Respir J. 2016;10(3):318–325. doi:10.1111/crj.12219

34. Kirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, Johnson BT. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the food and drug administration. PLoS Med. 2008;5(2):e45. doi:10.1371/journal.pmed.0050045

35. Zimmerman M, Posternak MA, Chelminski I. Is the cutoff to define remission on the Hamilton rating scale for depression too high? J Nerv Ment Dis. 2005;193(3):170–175. doi:10.1097/01.nmd.0000154840.63529.5d

36. Goldberger C, Guelfi JD, Sheehan DV. Assessment of anxiety in clinical trials with depressed patients using the Hamilton depression rating scale. Psychopharmacology Bulletin. 2025;44(3):34–50. doi:10.64719/pb.4076

37. Zimmerman M, Martinez JH, Young D, Chelminski I, Dalrymple K. Severity classification on the Hamilton depression rating scale. J Affect Disord. 2013;150(2):384–388. doi:10.1016/j.jad.2013.04.028

38. Machado A, Dias C, Paixão C, Gonçalves AP, Burtin C, Marques A. Short-term effects of home-based pulmonary rehabilitation during outpatient-managed exacerbations of COPD: a randomised controlled trial. Thorax. 2025;80(4):218–226. doi:10.1136/thorax-2024-221760

39. Montgomery SA, Möller H-J. Is the significant superiority of escitalopram compared with other antidepressants clinically relevant? Int Clin Psychopharmacol. 2009;24(3):111–118. doi:10.1097/YIC.0b013e32832a8eb2

40. Richardson JTE. Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review. 2011;6(2):135–147. doi:10.1016/j.edurev.2010.12.001

41. Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet. 2009;373(9665):746–758. doi:10.1016/S0140-6736(09)60046-5

42. Brunoni AR, Moffa AH, Sampaio-Junior B, et al. Trial of electrical direct-current therapy versus escitalopram for depression. N Engl J Med. 2017;376(26):2523–2533. doi:10.1056/NEJMoa1612999

43. Strawn JR, Mills JA, Schroeder H, et al. Escitalopram in adolescents with generalized anxiety disorder: a double-blind, randomized, placebo-controlled study. J Clin Psychiatry. 2020;81(5):20m13396. doi:10.4088/JCP.20m13396

44. Hoge EA, Bui E, Mete M, Dutton MA, Baker AW, Simon NM. Mindfulness-based stress reduction vs escitalopram for the treatment of adults with anxiety disorders: a randomized clinical trial. JAMA Psychiatry. 2023;80(1):13–21. doi:10.1001/jamapsychiatry.2022.3679

45. Bandelow B, Andersen HF, Dolberg OT. Escitalopram in the treatment of anxiety symptoms associated with depression. Depress Anxiety. 2007;24(1):53–61. doi:10.1002/da.20141

46. Kim J-M, Stewart R, Lee Y-S, et al. Effect of escitalopram vs placebo treatment for depression on long-term cardiac outcomes in patients with acute coronary syndrome: a randomized clinical trial. JAMA. 2018;320(4):350–358. doi:10.1001/jama.2018.9422

47. Hjorthøj CR, Hansen BH, Hanash JA, Rasmussen A, Birket‐Smith M. Prevention of depression in patients with acute coronary syndrome (DECARD) randomized trial: effects on and by self-reported health. Early Interv Psychiatry. 2015;9(5):370–377. doi:10.1111/eip.12119

48. Hansen BH, Hanash JA, Rasmussen A, et al. Effects of escitalopram in prevention of depression in patients with acute coronary syndrome (DECARD). J Psychosom Res. 2012;72(1):11–16. doi:10.1016/j.jpsychores.2011.07.001

49. Wang G, You X, Wang X, et al. Safety and effectiveness of escitalopram in an 8-week open study in Chinese patients with depression and anxiety. Neuropsychiatr Dis Treat. 2018;14:2087–2097. doi:10.2147/NDT.S164673

50. Ou -J-J, Xun G-L, Wu -R-R, et al. Efficacy and safety of escitalopram versus citalopram in major depressive disorder: a 6-week, multicenter, randomized, double-blind, flexible-dose study. Psychopharmacology. 2011;213(2–3):639–646. doi:10.1007/s00213-010-1822-y

51. Davidson JRT, Bose A, Korotzer A, Zheng H. Escitalopram in the treatment of generalized anxiety disorder: double-blind, placebo controlled, flexible-dose study. Depress Anxiety. 2004;19(4):234–240. doi:10.1002/da.10146

52. Shen Y, Zhao Q, Yu Y, et al. Efficacy and safety of bupropion hydrochloride extended-release versus escitalopram oxalate in Chinese patients with major depressive disorder: results from a randomized, double-blind, non-inferiority trial. J Affect Disord. 2019;257:143–149. doi:10.1016/j.jad.2019.07.023

53. Sera LC, McPherson ML. Pharmacokinetics and pharmacodynamic changes associated with aging and implications for drug therapy. Clin Geriatr Med. 2012;28(2):273–286. doi:10.1016/j.cger.2012.01.007

54. Tselebis A, Pachi A, Ilias I, et al. Strategies to improve anxiety and depression in patients with COPD: a mental health perspective. Neuropsychiatr Dis Treat. 2016;12:297–328. doi:10.2147/NDT.S79354

55. Siraj RA. COPD and comorbid mental health: addressing anxiety, and depression, and their clinical management. Medicina. 2025;61(8):1426. doi:10.3390/medicina61081426

56. Rush AJ, Bose A. Escitalopram in clinical practice: results of an open-label trial in a naturalistic setting. Depress Anxiety. 2005;21(1):26–32. doi:10.1002/da.20051

57. Gorwood P, Weiller E, Lemming O, Katona C. Escitalopram prevents relapse in older patients with major depressive disorder. Am J Geriatr Psychiatry. 2007;15(7):581–593. doi:10.1097/01.JGP.0000240823.94522.4c

58. Lenze EJ, Rollman BL, Shear MK, et al. Escitalopram for older adults with generalized anxiety disorder: a randomized controlled trial. JAMA. 2009;301(3):295–303. doi:10.1001/jama.2008.977

59. Kim J-M, Bae K-Y, Stewart R, et al. Escitalopram treatment for depressive disorder following acute coronary syndrome: a 24-week double-blind, placebo-controlled trial. J Clin Psychiatry. 2015;76(01):62–68. doi:10.4088/JCP.14m09281

60. Robinson RG, Jorge RE, Moser DJ, et al. Escitalopram and problem-solving therapy for prevention of poststroke depression: a randomized controlled trial. JAMA. 2008;299(20):2391–2400. doi:10.1001/jama.299.20.2391

61. Köhler-Forsberg O, Stiglbauer V, Brasanac J, et al. Efficacy and safety of antidepressants in patients with comorbid depression and medical diseases: an umbrella systematic review and meta-analysis. JAMA Psychiatry. 2023;80(12):1196–1207. doi:10.1001/jamapsychiatry.2023.2983

62. Edinoff AN, Akuly HA, Hanna TA, et al. Selective serotonin reuptake inhibitors and adverse effects: a narrative review. Neurol Int. 2021;13(3):387–401. doi:10.3390/neurolint13030038

63. Ishtiak-Ahmed K, Musliner KL, Christensen KS, Mortensen EL, Nierenberg AA, Gasse C. Real-world evidence on clinical outcomes of commonly used antidepressants in older adults initiating antidepressants for depression: a nationwide cohort study in denmark. Am J Psychiatry. 2024;181(1):47–56. doi:10.1176/appi.ajp.20230356

64. Coupland C, Dhiman P, Morriss R, Arthur A, Barton G, Hippisley-Cox J. Antidepressant use and risk of adverse outcomes in older people: population based cohort study. BMJ. 2011;343(aug02 1):d4551. doi:10.1136/bmj.d4551

65. Vozoris NT, Wang X, Austin PC, et al. Serotonergic antidepressant use and morbidity and mortality among older adults with COPD. Eur Respir J. 2018;52(1):1800475. doi:10.1183/13993003.00475-2018

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