The Incidence and Prevalence of Pulmonary Hypertension in the COPD Population: A Systematic Review and Meta-Analysis.

Purpose: Chronic obstructive pulmonary disease (COPD)-related pulmonary hypertension (PH) is one of the most common comorbidities of COPD, and often leads to a worse prognosis. Although the estimated prevalence and risk factors of COPD-related PH have been widely reported, these results have not been well integrated. This study aimed to review the worldwide incidence and prevalence of COPD-related PH and explore possible factors affecting its prevalence. Patients and
Methods: We searched four electronic databases (Web of Science, Embase, Cochrane, and MEDLINE) to identify all observational studies on the prevalence of COPD-related PH from database creation until July 20, 2021. Eligibility screening, quality assessment, and data extraction of the retrieved studies were independently conducted by two reviewers. Meta-analyses were performed to determine the prevalence of PH in the COPD population. Random-effects meta-regression model analyses were conducted to investigate the sources of heterogeneity.
Results: Altogether, 38 articles were included in the meta-analyses. The pooled prevalence was 39.2% (95% CI: 34.0-44.4, I 2 = 97.6%) for COPD-related PH. Subgroup analyses showed that the prevalence of PH increased with COPD severity, where the majority (30.2%) had mild PH and the minority had severe PH (7.2%). Furthermore, we found a significant regional difference in the prevalence of COPD-related PH (P = 0.000), which was the highest in Africa (64.0%) and the lowest in Europe (30.4%). However, stratified studies on other factors involving mean age, sex, enrolment time, participant recruitment settings, and PH diagnostic methods showed no significant differences in prevalence (P >0.05).
Conclusion: The global incidence of PH in the COPD population is very high, and there are significant regional and international variations. Patients with COPD should be screened for PH and contributing risk factors to reduce the burden on individuals and society.

Introduction

Chronic obstructive pulmonary disease (COPD) is a common, preventable, and treatable condition characterized by persistent respiratory symptoms and restricted airflow due to abnormalities in the airways or alveoli, usually caused by high exposure to toxic particles or gases.1,2 COPD is the most common cause of chronic respiratory disease-attributable deaths, which has become a major global health problem because of its high prevalence (approximately 10% in the adult population) and increasing incidence every year (partly related to the aging population), resulting in extremely significant increases in associated personal, social, and economic costs.3,4 The 2017 Global Burden of Disease (GBD) Study estimates that the global mortality of COPD is approximately 41.9 deaths per 100 000 individuals (5.7% of total all-cause deaths). Specifically, 46.7 deaths per 100 000 men, and 37.0 deaths per 100 000 women are attributable to COPD.5 In the United States, hospital expenses for this condition result in more than 13 billion dollars every year.6

In addition to effects on the lungs, patients with COPD exhibit many systemic effects, with mean pulmonary arterial pressure (PAP) >20 mmHg at rest in up to 90% of the patients.7,8 Studies have shown that most patients with severe emphysema have an mPAP of 20 to 25 mmHg.9 In contrast, COPD patients very rarely (approximately 1%) have an mPAP  >40 mmHg, provided that no other condition is causing PH.9 Pulmonary hypertension (PH), a serious and common complication in the COPD population, has a dramatic correlation with worsening clinical symptoms and prognosis for which treatment options are proven to be limited.10–12 The current guidelines define PH as a mean pulmonary artery pressure (mPAP) ≥25 mmHg (1 mmHg = 0.133 kPa) measured by right heart catheterization (RHC) in a resting state at sea level.13 Based on data from the Swiss PH registry and the English ASPIRE registry, group 3 PH has a poorer prognosis than that of other PH groups, although its mPAP and pulmonary vascular resistance (PVR) are less elevated on average.14 Studies have shown that mPAP approximately >19 mmHg worsens the prognosis of COPD, which results in a higher proportion of hospitalization and mortality.12,15 Among hemodynamic factors, particularly a high PVR and a low pulmonary oxygen saturation (SvO2) are strongly associated with mortality in COPD.16

The clinical importance of PH associated with COPD has been documented in several studies that demonstrated the independent prognostic role of PH in the COPD population. The prevalence of COPD-related PH cannot be neglected because PH generally increases with COPD severity. As a result, interest in this area of research has increased over the past decade, leading to the publication of numerous studies investigating the prevalence and risk factors of PH in COPD. However, to date, the prevalence of COPD-related PH has proved to be inconclusive due to the COPD classification criteria for historical changes. To our knowledge, only few estimates on the prevalence of COPD-related PH have been consolidated globally despite numerous studies on the same topic. Being informed and updated on the worldwide burden of COPD-related PH is imperative in developing effective strategies for the primary prevention and management of this disease and informing the corresponding stakeholders. The purpose of this study was to review the currently published literature on the incidence and prevalence of COPD-related PH. We aimed to assess the reported prevalence of this condition on a global scale and explore possible factors that may affect it.

Materials and Methods

This review was conducted according to the Meta-analyses of Observational Studies in Epidemiology guidelines (MOOSE).17 The protocol for this systematic review is available on the PROSPERO, with the registration number CRD42021270357.

Data Sources and Search Strategy

We searched in four electronic databases, namely, Web of Science, Embase, Cochrane, and MEDLINE (via PubMed), to identify all observational studies on the prevalence of PH associated with COPD from database creation until July 20, 2021, without setting language restrictions. Our search method adopted the strategy of combining subject words and free words. We used the following Medical Subject Heading terms and free words: “Pulmonary Disease, Chronic Obstructive” OR “Chronic Obstructive Lung Disease” OR “Chronic Obstructive Pulmonary Diseases” OR “COAD” OR “COPD” OR “Chronic Obstructive Airway Disease” OR “Chronic Obstructive Pulmonary Disease” OR “Airflow Obstruction, Chronic” OR “Airflow Obstructions, Chronic” OR “Chronic Airflow Obstructions” OR “Chronic Airflow Obstruction” AND “Hypertension, Pulmonary” OR “Pulmonary Hypertension” AND “Prevalence*” OR “Epidemiology*” OR “Incidence*” OR “Morbidity*” OR “Risk*” OR “Cross Sectional*” OR “Cross-sectional*”. In addition, we manually searched the reference list of each identified article for other relevant publications. Gray literature was also searched through some medical websites. Some authors were contacted by email for further details or to ask for their help in resolving any uncertainties. The study was based entirely on previously published research and did not require the approval of an ethics committee.

Study Selection

After eliminating duplicate studies, two investigators independently screened titles and abstracts to identify eligible publications according to an inclusion and exclusion criteria. Full-text articles were retrieved when at least one investigator considered the abstract eligible for the study. The inclusion criteria in the systematic review were as follows: (1) patients with COPD as research subjects; (2) diagnoses for COPD and PH made through effective and objective methods (ie, spirometry of COPD; RHC or transthoracic echocardiography (TTE) for PH); (3) reported prevalence of patients with COPD-related PH; (4) observational studies, including case-control, cross-sectional, and longitudinal cohort designs. The exclusion criteria were as follows: (1) incomplete research data; (2) non-English articles; (3) a sample size <50; (4) published articles from conference abstracts, reviews, narrative reviews, or case reports.

Data Extraction

Two independent investigators extracted data from the included studies. Disagreements were resolved through discussion or by a third investigator when necessary. The following information was recorded: title, the first author’s name, publication year, study design, study location, sample size, diagnostic criteria, the prevalence of COPD-related PH, and the demographic characteristics of participants. All extracted data were stored in a Microsoft Excel file format.

Quality Assessment

Two investigators independently appraised the quality of the included studies, using a tool for disease prevalence quality developed by Loney et al.18 Any disagreement about the quality of the studies was resolved by a third investigator. The quality assessment of the included studies was based on the Newcastle–Ottawa Scale for observational, non-randomized studies.19,20 A total of 10 points was assigned to the following categories: selection (representativeness of the sample, sample size, non-respondents, and ascertainment of the exposure), comparability (controlling for confounding factors), and outcome (assessment and statistics). Studies awarded 7–10 stars were considered high quality; 5–6 stars, moderate quality; and <5 stars, low quality.

Data Analysis

The proportion of participants with COPD-related PH was extracted from all included studies to calculate the pooled prevalence of the disease. Data extracted from the included publications were entered into the Stata 12.0 software package (StataCorp LLC, College Station, TX, USA) for analysis. Heterogeneity between studies was tested using Cochran’s Q statistics. The I2 statistic was used to assess the degree of heterogeneity, with I2 values of 25%, 50%, and 75% defining low, medium, and high heterogeneity, respectively. When significant heterogeneity was found in Cochran’s Q statistics, a random-effects model was used to calculate the pooled prevalence and 95% confidence intervals (CIs) of COPD-related PH; otherwise, a fixed-effects model would be used (P < 0.05 was considered significant). These findings were illustrated in the form of forest maps. Sensitivity analysis adopted a leave-one-out method, which iteratively deleted a study from the meta-analysis to assess change in the overall effect size. Publication bias was assessed using a funnel plot, the Begg test, and the Egger test (P < 0.1 was considered significant). When publication bias was observed, the trim and fill method was used to account for the publication bias.21

Results

After the initial search, we retrieved 4522 articles, of which 1283 were duplicates. After screening titles and abstracts based on the inclusion and exclusion criteria, we selected 366 articles for further, detailed evaluation. Sixteen studies were excluded due to the lacking list of diagnostic criteria for PH; 25, due to a small sample size (<50); 89, due to lacking target cohort data; and 185, due to type mismatch during the second examination. A total of 51 studies met the screening criteria, of which eight articles had a low-quality score (<5) and five articles used the same data. A total of 38 articles were available for the meta-analysis (Figure 1).

Figure 1

Flow diagram of the systematic search and selection of studies.

Characteristics of the Included Studies

The 38 studies had a total of 16,345 patients with COPD, containing data across 16 countries from 1991 to 2018. In 14 studies that assigned gender distribution, the ratio of males to females was approximately 8:5 (3205 vs 2049). In 30 of the included studies, the mean age of the patients was 61.6 years (n = 15,376). Majority of the surveyed patients with COPD were in a stable phase of their disease. The characteristics of the patients from the 38 studies are summarized in Table 1.

Table 1

Characteristics of Studies Reporting the Prevalence of COPD-Related PH

Study	Country	Enrolment Time	Total	Gender (M/F)	Mean Age	Sample Source	Sample Type	Diagnostic Methods for PH	Prevalence
Acharya et al 201846	India	2012–2014	50	NA	61.14±10.33	NA	Stable	TTE	54.00%
Aksu et al 201347	Turkey	2008–2009	89	77/12	60.6±8.5	NA	Stable	TTE	23.60%
Alkukhun et al 201448	America	2004–2011	92	31/61	55.1	Lung transplants	NA	RHC	32.60%
Andersen et al 201215	Danish	1991–2010	409	140/216	54.01	Lung transplants	Stable	RHC	48.66%
Blanco et al 201949	Spain	NA	3105	1612/1493	59.5	Lung transplants	NA	RHC	54.00%
Buklioska et al 201950	Skopje	2018–2018	60	52/8	NA	NA	NA	TTE	33.33%
Chaouat et al 200951	France	NA	183	160/23	67.0–79.0	NA	Stable	TTE	21.90%
Chen et al 201552	China	2013–2014	221	175/46	69±10	Inpatients		TTE	25.34%
Fayngersh et al 201153	America	2002–2008	174	155/19	40–80	NA	Stable	TTE	37.36%
Freixa et al 201254	Spain	2004–2006	342	318/24	67.9±8.6	Inpatients	AECOPD	TTE	19.00%
Gartman et al 201255	America	2008–2010	142	84/58	59	Lung transplants	NA	RHC	63.38%
Gupta et al 201856	India	2015–2016	109	72/27	58.04	NA	NA	TTE	62.40%
Halvani et al 201957	Islam	NA	142	NA	67.5–70.8	Outpatients	Stable	TTE	63.38%
Hayes et al 201758	America	2005–2013	86	31/55	60.86	Outpatients	Stable	TTE	63.00%
Hilde et al 201659	Norway	NA	100	49/51	63±7	NA	Stable	RHC	26.00%
Jethani et al 201660	India	NA	50	49/1	35–80	NA	NA	TTE	48.00%
Kwon et al 201061	Korea	2009	108	82/26	71.79	NA	NA	TTE	53.70%
Malinovschi et al 201462	Italy	2011–2012	276	186/90	67.76	Inpatients	Stable	RHC	47.80%
Matsuyama et al 200163	Japan	NA	65	NA	65.64	Inpatients	NA	RHC	32.31%
Mohamed et al 201664	Netherlands	2004–2014	65	33/32	59.34	Lung transplants	NA	RHC	58.46%
Mohamed et al 201965	Egypt	2017–2018	228	NA	63.30±9.22	Outpatients	Stable	TTE	63.00%
Nakahara et al 201666	Japan	2007–2013	503	NA	69.9±6.8	Inpatients	Stable	RHC	16.70%
Nakayama et al 202067	Japan	2010–2012	105	57/48	68.14	NA	NA	TTE	60.00%
Nathan et al 201268	America	2005–2018	6572	3252/3320	60.4±6.3	Lung transplants	NA	RHC	52.40%
Portillo et al 201569	Spain	NA	139	134/5	63±8	NA	Stable	RHC	18.00%
Sertogullarindan et al 201270	Turkey	2000–2010	600	336/264	67±10	Inpatients	Stable	TTE	54.17%
Seyhan et al 201371	Turkey	2007–2009	270	207/63	61±7.3	NA	Stable	TTE	48.00%
Shabrawy et al 201772	Egypt	2012–2014	252	163/89	58.46	NA	AECOPD	TTE	64.80%
Shin et al 201473	America	1998–2012	148	118/30	63.39	NA	Stable	RHC	39.00%
Sims et al 200974	America	1991–2003	362	NA	55.95	Lung transplants	NA	RHC	23.00%
Skjorten et al 201375	Norway	2006	96	48/48	63.47	Outpatients	Stable	RHC	26.00%
Sridhara et al 202076	India	NA	106	NA	NA	NA	NA	RHC	16.00%
Stolz et al 200877	Switzerland	NA	123	NA	NA	Inpatients	AECOPD	TTE	22.80%
Sun et al 201979	China	2016–2018	106	97/9	69.5±10.1	NA	Stable	TTE	22.60%
Takahashi et al 201879	Japan	2006–2016	131	NA	NA	NA	NA	TTE	12.98%
Xiong et al 201880	China	2015–2017	97	49/48	67.5±10.5	Lung transplants	Stable	TTE	23.71%
Xiong et al 202081	China	NA	513	432/81	68.02	Outpatients	Stable	TTE	29.24%
Yazici et al 201982	Turkey	2015–2018	126	119/7	66.73±9.76	Outpatients	NA	TTE	26.19%

Abbreviations: AECOPD, acute exacerbation of chronic obstructive pulmonary disease; M/F, the number of males/the number of females; NA, not available or applicable; PH, pulmonary hypertension; TTE, transthoracic echocardiography; RHC, right heart catheterization.

Pooled Prevalence of COPD-Related PH

In the 38 studies available for meta-analysis, the prevalence of COPD-related PH ranged from 12.98% to 64.80%. Based on the random-effects model–based meta-analysis conducted on all data points, the overall COPD-related PH prevalence was approximately 39.2% (95% CI: 34.0–44.4, I2 = 97.6%, P = 0.000) (Figure 2).

Figure 2

Forest plot of COPD-related PH prevalence.

Stratified Prevalence of COPD-Related PH by Age, Sex, Enrolment Time, Participant Recruitment Settings, Geographic Area, COPD Severity, PH Grades, and PH Diagnostic Methods

The estimated pooled prevalence acquired in the subgroup analyses is shown in Table 2. The prevalence of COPD-related PH widely varied partly due to differences in COPD severity and geographic regions. The collected data were from patients across four continents. The calculated prevalence rates of COPD-related PH were 30.4%, 32.6%, 52.6%, and 64.0%, in Europe, Asia, North America, and Africa, respectively (P = 0.000). Based on COPD classification, the pooled prevalence rates of PH associated with mild, moderate, severe, and very severe COPD were 24.5%, 34.1%, 38.6%, and 61.5%, respectively (P = 0.024). Based on gender and age, the COPD-related PH prevalence rates were approximately 42.6% in men, 43.5% in women, 44.5% in those <65 years, and 35.3% in those >65 years (P > 0.05). Based on participant recruitment settings, the calculated PH prevalence rates were 40.5% in outpatients, 32.3% in inpatients, and 44.5% in lung transplant evaluation patients (P = 0.247), with 38.1% in a stable phase and 38.2% in an acute exacerbation of COPD (AECOPD) (P = 0.998). The estimated prevalence rates of COPD-related PH were 41.8%, 41.2%, and 42.7% at different enrolment times (P = 0.992). Based on TTE and RHC, which are two different PH diagnostic methods, the estimated prevalence rates of COPD-related PH were 40.7% and 37.0%, respectively (P = 0.494). Finally, based on PH grade, a significant difference was noted in the prevalence rates of COPD-related PH, which were 30.2%, 10.0%, and 7.2% for mild, moderate, and severe grades, respectively (P = 0.000).

Table 2

Subgroup Analyses of COPD-Related PH Prevalence

Subgroups	Number of Included Studies	COPD-Related PH
		Prevalence	Sample (n)	95% CI	I2	P value	P Within Groups
Continents
Africa	2	64.0%	372	59.4–68.3	0.0%	0.728	0.000
Asia	18	32.6%	3648	28.4–44.3	96.5%	0.000
Europe	11	30.4%	1780	23.3–37.6	91.0%	0.000
North America	7	52.6%	10 437	45.3–60.0	96.9%	0.000
Enrolment time
−2010	10	41.8%	2467	31.1–52.5	96.9%	0.000	0.992
2010–2015	4	41.2%	706	18.6–63.8	97.7%	0.000
2015-	6	42.7%	905	28.4–57.0	95.2%	0.000
Diagnostic methods for PH
TTE	23	40.7%	4165	33.3–48.2	96.4%	0.000	0.494
RHC	15	37.0%	12 180	29.0–44.9	98.3%	0.000
Mean age
>65	14	35.3%	3387	26.7–43.9	96.8%	0.000	0.082
<65	17	44.5%	12 172	38.7–50.2	96.5%	0.000
COPD classifications
I	4	24.5%	104	2.4–46.7	83.1%	0.030	0.024
II	7	34.1%	437	15.6–52.6	95.9%	0.000
III	8	38.6%	563	23.0–54.2	92.3%	0.000
IV	8	61.5%	358	46.2–76.8	90.2%	0.000
Gender
Female	14	43.5%	2110	38.0–49.1	81.5%	0.000	0.720
Male	14	42.6%	3205	33.5–51.8	95.7%	0.000
PH grades
Mild	5	30.2%	543	22.3–38.0	73.9%	0.000	0.000
Moderate	5	10.0%	543	5.7–14.3	64.3%	0.000
Severe	5	7.2%	543	1.4–13.0	90.1%	0.015
Sample source
Lung transplants	8	44.5%	10 844	37.3–51.7	97.2%	0.000	0.247
Outpatients	6	40.5%	1191	33.9–47.2	98.2%	0.000
Inpatients	7	32.3%	2130	19.4–45.2	97.8%	0.000
Sample type
Stable phase	19	38.1%	4209	30.6–45.7	96.6%	0.000	0.998
AECOPD	3	38.2%	717	30.9–45.4	98.7%	0.012

Abbreviations: AECOPD, acute exacerbation of chronic obstructive pulmonary disease; TTE, transthoracic echocardiography; PH, pulmonary hypertension; RHC, right heart catheterization.

Publication Bias and Sensitivity Analyses

The funnel plot, Egger test, and Begg test showed no publication bias (Figure 3). The sensitivity analyses showed that the pooled prevalence of COPD-related PH varied from 38.55% (95% CI: 33.26–43.84) to 39.94% (95% CI: 34.77–45.10) after deleting any one study (Figure 4); however, no study had an undue effect on the pooled prevalence.

Figure 3

Funnel plot, Egger test, and Begg test for assessing publication bias.

Figure 4

Sensitivity analysis of the COPD-related PH pooled prevalence.

Discussion

This meta-analysis was designed to provide an updated estimate of COPD-related PH prevalence combined with data from 1991 to 2018. To our knowledge, this is the first comparative systematic review and meta-analysis to assess differences in COPD-related PH prevalence rates to date. In this study, we systematically collected available evidence and reckoned the overall prevalence of COPD-related PH in 16 regions. Based on the meta-analysis involving 38 studies and 16 345 participants, the pooled prevalence of COPD-related PH was 39.2% (95% CI: 34.0–44.4). Heterogeneity was observed between the included studies, explained by differences in definitions and assessed by subgroup analyses.

The current meta-analysis suggested that the pooled prevalence of COPD-related PH varied with COPD severity (P = 0.024) or PH grades (P = 0.000). As the severity of COPD increased, the prevalence of PH gradually elevated, of which most were mild (30.2% incidence) and few were severe (7.2% incidence), consistent with the general understanding of the disease. In fact, the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD) conducted a study on Phase 4 patients, suggesting that up to 90% of them may have an abnormal mPAP (>20 mmHg), most of which may range between 20 and 35 mmHg; only about 1% to 5% of the patients with COPD have a resting mPAP greater than 35 to 40 mmHg.22 PH in COPD is caused by pulmonary vascular remodeling, which comprise toxic effects of cigarette smoke and is characterized by the following factors that interact either additively or independently: intimal proliferation of poorly differentiated smooth muscle cells, deposition of elastic and collagen fibers, a decrease in pulmonary vascular surface, parenchymal loss, inflammation, and alveolar hypoxia.23–26 However, the specific pathophysiological mechanism, explaining why some patients with COPD develop severe PH, remains unclear.

In addition to being associated with COPD severity, significant regional differences were found in the incidence of PH (P = 0.000). The prevalence of PH was the lowest in Europe (30.4%) and the highest in Africa (64.0%). These data were similar to the results of a meta-analysis focused on the prevalence of PH in an African population, in which 51 patients with COPD had a PH prevalence of 62.7% (95% CI: 49.0–74.7).27 In fact, many of the known PH risk factors, such as schistosomiasis, human immunodeficiency virus, homozygous sickle cell disease, and poor medical conditions, are highly prevalent in Africa; although some have not been fully explored, these risk factors may contribute to the high incidence of PH.28–31 PH can be caused by a multitude of conditions and comorbidities highly prevalent in low- and middle-income countries and may complicate majority of respiratory and cardiovascular diseases, leading to excess morbidity and mortality in multimorbid patients. Approximately 80% of the global burden of COPD-related PH occurs in low- and middle-income countries.31,32 Based on these statements, the prevalence of COPD-related PH in Africa is likely to be largely underestimated. Since the majority of the included studies were from Asia or Europe, while the rest were from North America or Africa, we were unable to examine the prevalence of COPD-related PH in South America and Oceania due to the lack of data from these regions. Therefore, in the future, population-based studies are needed to estimate and compare the prevalence of COPD-related PH in different geographic regions.

Multiple registries noted a larger proportion of women with PH, ranging from 56% to 86%, suggesting that the female sex is a risk factor for PH.33–36 Further, women have a higher prevalence rate in at least seven comorbidities and a significantly worse prognosis that correlates with the number of comorbidities; however, on average, women have been reported to show fewer comorbidities.37 The gender-related difference was not found in our study most likely because it is generally male-dominated, and males have a higher degree of exposure to the risk factors. This proportion may change in the future as the number of female smokers increase. Similarly, no difference was observed in population-stratified studies with a 65-year cut-off most likely because the patients in the included studies were generally of advanced age, and the age differences were not significant. Additionally, it may have been affected by the number of smoking years. In summary, age appears to have little effect on PH prevalence in COPD. The prevalence of PH has steadily increased with the increasing PH awareness and population aging; however, we did not find a significant difference in PH prevalence among COPD populations over time; This may be explained by the increasing number of patients with COPD year by year, and its improved treatment delaying the progression of PH.

We also analyzed other possible influencing factors for the prevalence of COPD-related PH, including enrolment time and participant recruitment settings (lung transplant patients, outpatients or inpatients; the acute exacerbation or stable phase of COPD). However, we did not find significant differences between these factors. Cardiovascular comorbidity is common among COPD patients. Some studies have suggested that AECOPD can further aggravate cardiovascular comorbidity with a worse prognosis.38–40 However, there are limited studies on whether AECOPD exacerbates PH compared to that during a stable period. For this reason, the role of AECOPD in PH incidence cannot be determined at present. As some included studies lacked sufficient information for analysis, the results may be biased to some extent. More external validation is needed in the future to support our results.

Considering PH diagnostic methods, TTE remains the most important non-invasive screening tool, and RHC remains a prerequisite for diagnosis.41,42 We also performed subgroup statistics on prevalence for the two diagnostic assessment methods. Nevertheless, no significant differences were found. Previous studies have shown that TTE demonstrates a low sensitivity or specificity in patients with a definite pulmonary disease.43,44 Our results may be interpreted as more suitable for population studies rather than for the definitive diagnosis of individual patients with PH.45

Limitations

Although a comprehensive search strategy, dual review process, and rigorous selection criteria were used in this meta-analysis, several inherent limitations of this study should also be recognized. First, this meta-analysis was based on cases that had different definitions for the diseases and varied from self-reported to spiroscopy-based results, increasing the heterogeneity observed and in turn, influencing the overall prevalence estimated in our study. The diagnostic definition for COPD also varied even in the spirometry-based studies partly due to changes in diagnostic guidelines over time. Second, although we observed heterogeneity in the overall prevalence and conducted subgroup analyses, some studies did not include relevant data, resulting to a small number of studies in some subgroups and possibly producing selection bias. Third, the meta-regression analysis was not performed on other factors, such as BMI, pack years of smoking, and family history, due to limited data. Lastly, only studies in English were included, and articles published in other languages were excluded from the study, limiting the comprehensiveness of the literature Indexed. More studies are needed to overcome these limitations and make a more comprehensive statistics on the prevalence of COPD-related PH.

Conclusion

In summary, our study analyzed the global prevalence of COPD-related PH to date and found a high pooled prevalence of 39.2%. The prevalence of PH increased with COPD severity, with the majority being mild PH, which is associated with increased mortality and morbidity in patients with COPD. These suggest the necessity of raising public awareness on PH associated with COPD because of an enormous personal and social burden caused by its high prevalence and destructive power. Furthermore, the prevalence rates in Africa appear to be significantly higher than those in western countries, which highlights the potential for additional risk factors and the need for more medical attention in Africa. Our study provides an updated summary of COPD-related PH epidemiology in the general population for reference. However, the available evidence of this synthesis cannot fully cover the content of COPD-related PH prevalence worldwide. More epidemiological studies worldwide are needed to better understand the global disease burden of COPD-related PH.