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Evolution of Hospitalization Trends and Outcomes in Idiopathic Pulmonary Arterial Hypertension

Bisharah S Rizvia, Rupak Desaib, Jean M Elwing, Vijay Balasubramanian
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Published Online: Sep 23rd 2025 touchREVIEWS in Respiratory & Pulmonary Diseases. 2025;10(1):24-31 DOI: https://doi.org/10.17925/USPRD.2025.10.1.4
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Abstract

Overview

Idiopathic pulmonary arterial hypertension (IPAH)-related hospitalizations contribute to morbidity and mortality and incur substantial healthcare costs. Several advances in management have been achieved over the last decade. The objective of this study is to compare IPAH hospitalizations from 2007 and 2017 using the Nationwide Inpatient Sample database. This is a retrospective, observational and population-based cohort analysis. IPAH was identified using the International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) (416.0) and ICD-10-CM codes (I27.0) for 2007 and 2017, respectively. Total hospitalizations, demographics, all-cause mortality, median length of stay and median charges were analysed. IPAH diagnosis was associated with 0.05% of all hospitalizations in 2007 and 0.03% in 2017, higher in females compared with males (11,542 [65.2%] in 2007 versus 6,380 [68.4%] in 2017), but higher mortality in males. White patients accounted for 9,349/17,713 (67.4%) of all hospitalizations in 2007 and 5,755/9,330 (64.1%) in 2017. Total all-cause mortality (IPAH hospitalization) decreased in 2017 (4.8%) compared with 2007 (6.4%) (p<0.001). Total charges in United States Dollars (USD) increased substantially from 2007 to 2017 ($26,016 versus $46,450), but decreased when compared with overall hospitalization cost. Over the decade evaluated, there have been significant reductions in IPAHrelated hospitalizations, reduced all-cause mortality related to hospitalization and decreased healthcare costs.

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Article

According to the Seventh World Symposium on Pulmonary Hypertension in 2024, pulmonary hypertension (PH) is defined as a mean pulmonary artery pressure (mPAP) of >20 mmHg. Pre-capillary PH is defined by mPAP of >20 mmHg and elevation of pulmonary vascular resistance (PVR) above the upper limit of normal which is 2 Wood Units (WU) and pulmonary arterial wedge pressure <15 mmHg.1 Pre-capillary PH is characteristic of haemodynamic conditions and diseases with elevated pulmonary pressures and no significant left heart disease.1 The causes of pulmonary arterial hypertension (PAH) include idiopathic, familial, drug and toxin-induced, associated with (connective tissue disorder, HIV, portal hypertension, congenital heart disease, schistosomiasis), and PAH with overt features of venous/capillary involvement.1 Regardless of the cause, the pathology is similar, with remodelling and proliferation of endothelial and smooth muscle cells, increased vasoconstriction and thrombus formation. This leads to restricted flow within the pulmonary arterial circulation causing increased vascular resistance, right-sided heart failure and death.2 Currently available treatments include phosphodiesterase-5 inhibitors, endothelin-receptor antagonists, soluble guanylate cyclase stimulators and compounds targeting the prostacyclin pathway (PPA).2 Recent studies have identified another pathway that leads to PAH. Altered signalling in the transforming growth factor β superfamily, particularly involving bone morphogenetic protein receptor type 2, activin receptor type 2A and ligands such as activin A, activin B, growth differentiation factor 8 (GDF8) and GDF11 causes cell proliferation and inhibits apoptosis, leading to pulmonary vascular remodelling. Inhibition of these ligands inhibits cell proliferation, promotes apoptosis and decreases inflammation in the vessel walls, leading to reverse remodelling and potential restoration of vessel patency.3

In the USA, population studies on idiopathic pulmonary arterial hypertension (IPAH) are restricted, with most data available from PAH registries.4–12 USbased Registry to Evaluate Early and Long-Term PAH Management (REVEAL) shows the incidence of IPAH as 2.3 cases per million and a prevalence of 12.4 cases per million.10 One-year mortality rate was 9–14% based on data from 2006 to 2009.13 Since that time, major advances in treatment have been made, but little is known about how these developments have impacted the characteristics of IPAH-related hospitalizations. We use the largest in-patient database in the USA, the Nationwide Inpatient Sample (NIS), to analyse IPAH hospitalizations over the span of 10 years comparing admissions from 2007 with 2017. This is the first study to compare these two cohorts in the USA.

Methods

The Healthcare Utilization Project (HCUP) is a collection of databases funded by the Agency for Healthcare Research and Quality. In this study, we used the HCUP-linked database, NIS, for the years 2007 and 2017. NIS is the largest and most comprehensive all-payer database of in-patient hospitalizations in the USA.14 It contains administrative data from approximately 1,000 hospitals with more than 8 million hospitalizations a year. It is a 20% stratified sample of all in-patient hospitalizations from 46 states, representing more than 95% of the US population. The patient data are de-identified and include information on socio-demographics, admission status, primary and secondary discharge diagnoses, comorbidities, treatments, in-hospital mortality and healthcare resource use. The diagnoses are identified using the International Classification of Diseases Ninth Revision, Clinical Modification (ICD-9-CM) codes for 2007 data, and ICD-10-CM codes are used for 2017.6 Institutional Review Board approval and informed consent were not required for this study, as it involved analysis of de-identified publicly available data.

We included patients 18 years of age or older from 1 January 2007 to 31 December 2007 and from 1 January 2017 to 31 December 2017. For the 2007 data, ICD-9-CM codes were used, and for the 2017 data, ICD-10-CM codes were used (Table S1).

The following data were obtained for patients who were admitted with the diagnosis of IPAH: total hospitalizations, demographics, elective versus non-elective admissions, primary payer, median household income, location/teaching status of the hospital (rural, urban non-teaching and urban teaching), region of the hospital (north-east, mid-west, south and west), bed size (small, medium and large) and patient disposition (home, transfer to short-term hospital, skilled nursing facility or intermediate care facility and home healthcare), comorbidities, all-cause mortality, median length of stay and median hospitalization charges and complications.

We used Pearson’s Chi-square test and Mann–Whitney U test to equate the categorical and continuous variables between the 2007 and 2017 cohorts. We have reported results as numbers or percentages and median with interquartile range, respectively. We have provided a comparative analysis of demographics, comorbidities and outcomes related to IPAH admissions between the years 2007 and 2017. In addition, we also compared the frequency of all-cause mortality of IPAH-related admissions and assessed sex- and race-based differences in this subgroup. Statistically significant independent predictors on univariate analysis were integrated into a multivariate regression analysis to assess the risk of complications and in-hospital mortality in 2017 as compared with 2007. The outcomes were indicated in terms of adjusted odds ratio (aOR) with 95% confidence interval (95% CI). Multi-variate analysis was performed adjusting for age, sex, race, type of admission (elective/non-elective), median household income quartile, primary insurance enrolment and pre-existing comorbidities. Independent predictors of all-cause mortality in IPAH were also evaluated with a multivariate analysis adjusted for aforementioned variables. A two-tailed p<0.05 was considered a threshold for statistical significance. SPSS v24 (IBM Corp, Armonk, NY, USA) and weighted data were used to complete statistical analyses using complex sample modules.

Results

When comparing 2007 with 2017, the total number of IPAH hospitalizations decreased significantly from 17,713 to 9,330 (p<0.001) which is 0.05% and 0.03% of total hospitalizations, respectively (Table 1). Table 2 shows the characteristics of IPAH hospitalizations in 2007 and 2017. Compared with 2007, the median age of admission had significantly decreased in 2017 (p<0.001) from age 72 years to 66 years. The number of admissions in females continued to stay high in both 2007 (65.2%) and 2017 (68.4%) compared with males (p<0.001) for IPAH. In 2007 and 2017, Whites continued to have the highest number of admissions for IPAH compared with other races (67.4% versus 64.1%). Over this decade, the percentage of hospitalizations at large bed hospitals decreased (66.8–60.7%), but small (14.4–16%) and medium bed hospitals (18.9–23.3%) (p<0.001) increased. Regional variations showed decreased hospitalizations in the north-east (35.4–20.9%), but increased hospitalizations in south (31.7–34.1%), mid-west (16.8–23.7%) and west (16.1% to 21.3%) (p<0.001) over that time period (Table 2). Table 3 shows the clinical characteristics of IPAH hospitalizations in 2007 and 2017. In 2017, there was a higher percentage of hospitalizations with comorbid congestive heart failure, depression, drug abuse, liver disease, obesity and smoking. No change in length of stay was seen in 2007 as compared with 2017 (Table 4). Total charges significantly increased from 2007 ($26,016 [$14,043–$53,668]) to 2017 ($46,450 [$24,388–$92,961]) (p<0.001). When adjusted for inflation, charges for IPAH hospitalizations remained higher in 2017 and were calculated at $6,707 ($3,895–$12,557) for 2007 and $7,030 ($3,687–$13,601) for 2017 (p<0.001) (Table 4). However, when looking at the percentage of charges for IPAH as compared with total charges for all hospitalization, we see a significant decrease from 0.09% ($340,839,104/$359,759,284,438) to 0.06% ($266,170,409/$434,241,375,872) from 2007 to 2017 (Table 5).

Table 1: Total hospitalizations for IPAH

Hospitalizations (p<0.001)

Calendar year

Total

IPAH

2007

2017

N

17,713

9,330

27,043

% Within year

0.05%

0.03%

0.04%

Total N

32,718,626

35,798,453

68,517,079

IPAH = idiopathic pulmonary arterial hypertension.

Table 2: Demographics and hospital characteristics of hospitalizations with IPAH in 2007 versus 2017

Variables

2007 (N=17,713)

2017 (N=9,330)

p

N

%

N

%

Age in years at admission, median (IQR)

72 (57–82)

66 (52–77)

<0.001

18–44

1,809

10.2%

1,070

12.2%

<0.001

45–64

4,496

25.4%

2,740

31.2%

≥65

11,408

64.4%

4,965

56.6%

Sex

Male

6,166

34.8%

2,950

31.6%

<0.001

Female

11,542

65.2%

6,380

68.4%

Race

White

9,349

67.4%

5,755

64.1%

<0.001

African American

2,413

17.4%

1,755

19.5%

Hispanic

972

7.0%

865

9.6%

Asian or Pacific Islander

394

2.8%

255

2.8%

Native American

231

1.7%

45

0.5%

Others

517

3.7%

305

3.4%

Elective versus non-elective admission

Non-elective

15,060

85.1%

7,945

85.3%

0.725

Elective

2,630

14.9%

1,370

14.7%

Primary expected payer

Medicare

11,931

67.4%

5,795

62.3%

<0.001

Medicaid

1,692

9.6%

1,310

14.1%

Private including health maintenance organization

3,309

18.7%

1,875

20.2%

Self-pay

397

2.2%

165

1.8%

No charges

56

0.3%

20

0.2%

Others

308

1.7%

135

1.5%

Median household income national quartile for patient ZIP Code

0–25th

4,604

26.8%

2,655

28.9%

<0.001

26–50th

3,322

19.3%

2,410

26.2%

51–75th

4,270

24.8%

2,250

24.5%

76–100th

4,988

29.0%

1,875

20.4%

Bed size of hospital

Small

2,540

14.4%

1,490

16.0%

<0.001

Medium

3,338

18.9%

2,175

23.3%

Large

11,820

66.8%

5,665

60.7%

Location/teaching status of hospital

Rural

999

5.6%

760

8.1%

<0.001

Urban non-teaching

5,632

31.8%

1,405

15.1%

Urban teaching

11,068

62.5%

7,165

76.8%

Region of hospital

North-east

6,269

35.4%

1,950

20.9%

<0.001

Mid-west

2,979

16.8%

2,210

23.7%

South

5,610

31.7%

3,180

34.1%

West

2,854

16.1%

1,990

21.3%

p<0.05 indicates statistical significance.

IPAH = idiopathic pulmonary arterial hypertension;IQR = interquartile range;ZIP = Zone Improvement Plan.

Table 3: Clinical characteristics in hospitalizations with IPAH in 2007 versus 2017

2007 (N=17,713)

2017 (N=9,330)

p

N

%

N

%

Alcohol abuse

352

2.0%

195

2.1%

0.569

Chronic pulmonary disease

5,686

32.1%

2,900

31.1%

0.087

Coagulopathy

1,244

7.0%

1,140

12.2%

<0.001

Congestive heart failure

4,976

28.1%

2,840

30.4%

<0.001

Deficiency anaemias

3,470

19.6%

1,855

19.9%

0.567

Depression

1,465

8.3%

930

10.0%

<0.001

Diabetes with chronic complications

1,089

6.2%

1,775

19.0%

<0.001

Diabetes, uncomplicated

4,122

23.3%

810

8.7%

<0.001

Drug abuse

319

1.8%

300

3.2%

<0.001

Fluid and electrolyte disorders

4,930

27.8%

2,980

31.9%

<0.001

Hyperlipidaemia

3,991

22.5%

3,415

36.6%

<0.001

Hypertension

7,545

42.6%

3,150

33.8%

<0.001

Hypothyroidism

2,273

12.8%

1,310

14.0%

0.005

Liver disease

755

4.3%

570

6.1%

<0.001

Lymphoma

227

1.3%

115

1.2%

0.732

Metastatic cancer

316

1.8%

95

1.0%

<0.001

Obesity

1,846

10.4%

1,585

17.0%

<0.001

Other neurological disorders

1,016

5.7%

630

6.8%

0.001

Peripheral vascular disorders

1,328

7.5%

450

4.8%

<0.001

Psychoses

321

1.8%

235

2.5%

<0.001

Renal failure

3,930

22.2%

2,215

23.7%

0.004

Rheumatoid arthritis/collagen vascular diseases

674

3.8%

745

8.0%

<0.001

Smoking

2,393

13.5%

3,230

34.6%

<0.001

Solid tumour without metastasis

345

1.9%

115

1.2%

<0.001

Valvular heart disease

3,078

17.4%

820

8.8%

<0.001

p<0.05 indicates statistical significance.

IPAH = idiopathic pulmonary arterial hypertension.

Table 4: Outcomes of hospitalizations with IPAH in 2007 versus 2017

Outcomes

2007 (N=17,713)

2017 (N=9,330)

p

N

%

N

%

All-cause in-hospital mortality

1,130

6.4%

450

4.8%

<0.001

Disposition of patient

Routine

8,830

49.9%

4,550

48.8%

<0.001

Transfer to short-term hospital

587

3.3%

385

4.1%

Other transfers including SNF ICF, etc.

3,621

20.4%

1,675

18.0%

Home healthcare

3,369

19.0%

2,190

23.5%

Complications

Cor-pulmonale

213

1.2%

445

4.8%

<0.001

Pulmonary embolism

409

2.3%

285

3.1%

<0.001

Pulmonary haemorrhage/haemoptysis

176

1.0%

120

1.3%

0.028

Atrial fibrillation/flutter

6,267

35.4%

3,275

35.1%

0.648

Ventricular tachycardia

558

3.1%

325

3.5%

0.143

Ventricular fibrillation/flutter

61

0.3%

30

0.3%

0.758

Supraventricular tachycardia

164

0.9%

300

3.2%

<0.001

Cardiac arrest

169

1.0%

145

1.6%

<0.001

Cardiogenic shock

156

0.9%

270

2.9%

<0.001

Length of stay (days), median (QR)

5 (3–9)

5 (3–9)

<0.001

Total charges (USD), median (IQR)

26,016 (14,043–53,668)

46,450 (24,388–92,961)

<0.001

Total inflation adjusted cost (USD), median (IQR)

6,707 (3,895–12,557)

7,030 (3,687–13,601)

<0.001

p<0.05 indicates statistical significance

ICF = intermediate care facility;IPAH = idiopathic pulmonary arterial hypertension;IQR = interquartile range;QR = quartile range;SNF = skilled nursing facility;USD = United States Dollars.

Table 5: Adjusted cost for IPAH hospitalizations versus all hospitalizations

2007

2017

IPAH hospitalizations cost

$340,839,104

$266,170,409

Total hospitalizations cost

$359,759,284,438

$434,241,375,872

Percentage of IPAH admission cost

0.09%

0.06%

IPAH = idiopathic pulmonary arterial hypertension.

Total all-cause mortality for hospitalizations for IPAH decreased from 2007 (6.4%) to 2017 (4.8%) p<0.001 (Table 4). Figure 1 shows the percentage of death from all IPAH hospitalizations by sex and race for each year. Males had higher mortality than females in 2007 (7.1% versus 6.0%) and 2017 (5.6% versus 4.5%) p<0.05. White patients had higher mortality than Black patients in 2007 (6.6% versus 6.1%) and 2017 (5.1% versus 4.6%) p<0.05. Independent predictors of all-cause mortality in hospitalizations with IPAH are shown in Table 6. For each year, mortality was estimated for each of these parameters (age, gender, race, bed size and region) and compared. Patients in the age group 45–64 years (OR, 2.09 [95% CI: 1.55, 2.82] p<0.001) and over 65 years (OR, 4.09 [95% CI: 2.97, 5.63] p<0.0001) had higher mortality compared with those admitted between ages 18 and 44. Compared with females, males had higher mortality (OR, 1.18 [95% CI: 1.03, 1.35] p=0.015). Mortality was calculated for each race for each time point. From the total IPAH deaths in 2007, 69.7% were White (788/1130) and 16.7% were Black (189/1130). In 2017, 72% were White (324/450) and 19.5% were Black (88/450). Compared with White patients, Black patients (OR, 0.79 [95% CI: 0.66, 0.95] p=0.014) and Hispanics (OR, 0.65 [95% CI: 0.48, 0.86] p=0.003) had lower mortality. Compared with Medicare beneficiaries, patients who had Medicaid (OR, 1.66 [95% CI: 1.29, 2.15] p<0.001), private insurance (OR, 1.32 [95% CI: 1.09, 1.62] p<0.006), and ‘No charges’ (OR, 2.83 [95% CI: 1.10, 7.28] p<0.030) had higher mortality. Compared with rural, urban non-teaching (OR, 4.54 [95% CI: 2.97, 6.93] p<0.001) and urban teaching (OR, 4.06 [95% CI: 2.68, 6.17] p<0.0001) had higher all-cause mortality. Compared with small bed hospitals, large bed hospitals had lower mortality (OR, 0.69 [95% CI: 0.59–0.83] p<0.001). Mortality according to regional variations was not statistically significant (Table 6).

Figure 1: All-cause in-hospital mortality by sex and race in hospitalizations with PAH: 2007 versus 2017

Figure 1: All-cause in-hospital mortality by sex and race in hospitalizations with PAH: 2007 versus 2017

Cell sizes n<11 were not reported as per HCUP’s privacy guidelines, e.g. mortality data for Asian or Pacific Islander in 2017.

HCUP = Healthcare Cost and Utilization Project; PAH = pulmonary arterial hypertension.

Table 6: Independent predictors of all-cause mortality in hospitalizations with IPAH

Predictors

Adjusted OR

95% CI

p

LL

UL

Age (years) at admission

<0.001

 18–44 years

Referent

 45–64 years

2.09

1.55

2.82

<0.001

 ≥65 years

4.09

2.97

5.63

<0.001

Male versus female

1.18

1.03

1.35

0.015

Race

0.018

 White

Referent

 African American

0.79

0.66

0.95

0.014

 Hispanic

0.65

0.48

0.86

0.003

 Asian or Pacific Islander

0.77

0.51

1.17

0.220

 Native American

0.83

0.46

1.48

0.522

 Others

0.86

0.58

1.27

0.435

Non-elective versus elective admission

1.36

1.10

1.67

0.004

Primary expected payer

<0.001

 Medicare

Referent

 Medicaid

1.66

1.29

2.15

<0.001

 Private including health maintenance organization

1.32

1.09

1.62

0.006

 Self-pay

0.80

0.45

1.40

0.434

 No charges

2.83

1.10

7.28

0.030

 Others

0.69

0.37

1.29

0.244

Median household income national quartile for patient ZIP Code

<0.001

 0–25th

Referent

 26–50th

0.96

0.80

1.16

0.704

 51–75th

0.68

0.57

0.82

<0.001

 76–100th

0.76

0.63

0.91

0.003

Bed size of hospital

 Small

Referent

<0.001

 Medium

0.83

0.68

1.02

0.079

 Large

0.69

0.59

0.83

<0.001

Location/teaching status of hospital

<0.001

 Rural

Referent

 Urban non-teaching

4.54

2.97

6.93

<0.001

 Urban teaching

4.06

2.68

6.17

<0.001

Region of hospital

0.818

 North-east

Referent

 Mid-west

0.95

0.78

1.16

0.591

 South

1.04

0.88

1.23

0.614

 West

1.01

0.83

1.22

0.931

Clinical Characteristics

 Acquired immune deficiency syndrome

1.41

0.52

3.82

0.495

 Alcohol abuse

1.02

0.64

1.63

0.920

 Deficiency anaemias

0.78

0.66

0.92

0.003

 Rheumatoid arthritis/collagen vascular diseases

1.03

0.77

1.38

0.818

 Chronic blood loss anaemia

1.38

0.93

2.05

0.109

 Congestive heart failure

1.77

1.55

2.02

<0.001

 Chronic pulmonary disease

1.26

1.11

1.44

0.001

 Coagulopathy

1.96

1.63

2.35

<0.001

 Depression

0.60

0.46

0.79

<0.001

Hyperlipidaemia

0.54

0.45

0.63

<0.001

 Smoking

0.49

0.41

0.60

<0.001

 Diabetes, uncomplicated

0.89

0.74

1.06

0.184

 Diabetes with chronic complications

0.72

0.58

0.90

0.004

 Drug abuse

1.07

0.64

1.80

0.792

 Hypertension

0.86

0.75

0.99

0.036

 Hypothyroidism

0.84

0.69

1.02

0.085

 Liver disease

1.20

0.92

1.58

0.179

 Lymphoma

0.71

0.41

1.25

0.234

 Fluid and electrolyte disorders

1.68

1.48

1.91

<0.001

 Metastatic cancer

1.52

1.04

2.22

0.032

 Other neurological disorders

0.98

0.76

1.25

0.859

 Obesity

0.87

0.70

1.08

0.203

 Peripheral vascular disorders

1.58

1.27

1.97

<0.001

 Renal failure

1.38

1.19

1.60

<0.001

 Solid tumour without metastasis

1.65

1.12

2.42

0.011

 Valvular heart disease

1.13

0.96

1.33

0.145

Complications

 Cor pulmonale

1.21

0.85

1.72

0.296

 Pulmonary embolism

2.03

1.52

2.71

<0.001

 Pulmonary haemorrhage and haemoptysis

3.50

2.41

5.09

<0.001

 Atrial fibrillation/flutter

1.07

0.94

1.22

0.304

 Ventricular fibrillation/flutter

1.63

0.67

3.96

0.278

 Supraventricular tachycardia

1.22

0.80

1.86

0.346

 Cardiac arrest

27.22

19.70

37.60

<0.001

 Cardiogenic shock

6.13

4.58

8.20

<0.001

p<0.05 indicates statistical significance; multivariable analysis was adjusted for baseline demographics, pre-existing comorbidities and in-hospital complications.

CI = confidence interval;IPAH = idiopathic pulmonary arterial hypertension;LL = lower level;OR = odds ratio;UL = upper level;ZIP = Zone Improvement Plan.

Discussion

This is the first large, retrospective cohort study of patients with the diagnosis of IPAH that compares the outcomes of admissions for IPAH over a 10-year span assessing 2007 and 2017 using the HCUP NIS database.

Our results show that hospitalizations for IPAH declined by approximately 40% from 2007 to 2017. The median age for hospitalizations also significantly decreased with the median age for hospitalization of 72 years in 2007 and 66 years in 2017. Hospitalizations for patients >65 dropped from 64.4% in 2007 to 56.6% in 2017. Hospitalizations for the age group 45–64 years increased from 25.4% to 31.2% of total IPAH hospitalizations. The reduction in the number of hospitalizations and the younger age of admissions may be attributed to a variety of factors, including progress in diagnoses and management. Significant advances in medical treatment and the availability of new medications have occurred over the last two decades. There are many Food and Drug Administration (FDA)-approved medications for IPAH. These medications primarily work by targeting nitric oxide, endothelin, PPAs and activin signalling pathway, which has recently been identified. Until 2007, there were around six approved medications, which included intravenous epoprostenol (1995), bosentan (2001), subcutaneous treprostinil (2002), inhaled iloprost (2004), intravenous treprostinil (2005) and sildenafil (2005). Since 2007, around 10 medications have been approved for PAH treatment and include ambrisentan (2007), tadalafil (2009), inhaled treprostinil (2009), intravenous epoprostenol (2010), oral treprostinil (2013), riociguat (2013), macitentan (2013), selexipag (2015), treprostinil inhalation powder for PAH (2022), sotatercept (2024) and treprostinil inhalation powder approved for both PAH and PH-interstitial lung disease.15,16 SERAPHIN trial (Study of Macitentan on Morbidity and Mortality in Patients With Symptomatic Pulmonary Arterial Hypertension; ClinicalTrials.gov identifier: NCT00660179) showed that 10 mg of macitentan decreased the risk and rate of all-cause hospitalization as compared with placebo.17 GRIPHON trial (Selexipag for the treatment of pulmonary arterial hypertension; ClinicalTrials.gov identifier: NCT01106014) used selexipag for the treatment of IPAH and showed that compared with placebo, patients on selexipag had significantly lower hospitalizations.18 In 2024, sotatercept was approved as the first activin signalling inhibitor, which significantly improved exercise capacity and reduced the risk of death, lung transplantation or hospitalization lasting more than 24 h for worsening PAH.3,19 That same year, the combination of macitentan/tadalafil was evaluated in the phase III A DUE trial (Clinical Study to Compare the Efficacy and Safety of Macitentan and Tadalafil Monotherapies With the Corresponding Fixed-dose Combination Therapy in Subjects With Pulmonary Arterial Hypertension; ClinicalTrials.gov identifier: NCT03904693), which demonstrated that the fixed-dose combination significantly reduced PVR compared with either macitentan or tadalafil alone in patients with PAH. The trial included treatment-naïve or monotherapy-stable patients and showed a 28–29% greater reduction in PVR with the combination therapy.20 Additional supporting evidence includes the OPTIMA study (2020; Clinical Study Evaluating the Effects of First-line Oral cOmbination theraPy of maciTentan and tadalafIl in Patients With Newly Diagnosed pulMonary Arterial Hypertension; ClinicalTrials.gov identifier: NCT02968901), which assessed initial dual therapy with macitentan and tadalafil in patients with newly diagnosed PAH.21,22 With the approval of these newer medications since 2017, we anticipate a continued and potentially significant reduction in hospitalizations for patients with PAH. These findings highlight significant progress in the management of PAH over the past decade. The decline in hospitalizations seen in our study, along with a shift towards younger hospitalized patients, suggests earlier diagnosis and more effective outpatient management. The introduction and increasing use of targeted therapies, after 2007, have likely contributed to improved clinical stability and reduced the need for hospitalization. Collectively, these trends point towards a positive impact of therapeutic advancements on PAH patient outcomes. In addition to pharmacological advancements, increased disease awareness and improved outpatient care infrastructure have played a crucial role in reducing hospitalizations.17 In 2014, the Pulmonary Hypertension Association established Pulmonary Hypertension Care Centers across the USA, providing resource standards for certification.23 The overall reduction in hospitalizations seen in this study is consistent with earlier findings by Anand et al., who reported a 58% decrease in PAH-related hospitalizations from 2001 to 2012, underscoring a sustained decade-long trend of improvement.24

In our study, the total all-cause mortality significantly decreased from 6.4% in 2007 to 4.8% in 2017. Data from the REVEAL registry in 2012 also showed improvement in survival in patients who were enrolled from 2006 to 2009.9 Since 2007, there have been additional FDA-approved drugs available and increased use of combination therapy, which has been shown to improve outcomes and decrease hospitalizations, as seen in the AMBITION trial (A Study of First-Line Ambrisentan and Tadalafil Combination Therapy in Subjects With Pulmonary Arterial Hypertension; ClinicalTrials.gov identifier: NCT01178073).25 From the currently available medications to date, IV epoprostenol was the only therapy that showed mortality benefit in a shortterm study, but registries have shown increased longevity as compared with historical data over the last 20 years.26 However, now sotatercept has also shown mortality benefits. The ZENITH trial (A Study of Sotatercept in Participants With PAH WHO FC III or FC IV at High Risk of Mortality; ClinicalTrials.gov identifier: NCT04896008) showed a 76% reduction in the relative risk of a composite endpoint of all-cause death, lung transplantation or hospitalization for worsening PAH, compared with placebo. The benefit was seen in the high-risk patients who were already receiving and tolerating maximum therapy.19 It is likely due to the use of these medications that has improved all-cause mortality over the years.

Even though women had a higher number of hospitalizations compared with men in 2007 (65.2% versus 34.8%) and 2017 (68.4% versus 31.6%), the mortality was higher in men in 2007 (7.1% versus 6.0%) and 2017 (5.6% versus 4.5%). The multivariable analysis for mortality also shows that compared with females, males have higher mortality (OR, 1.18 (95% CI: 1.03, 1.35) p=0.015). There are many theories for higher mortality in men, and it is thought to be due to a phenomenon known as the ‘sex paradox’. A study by DesJardin et al. investigated the sex paradox using the results from the Pulmonary Hypertension Association Registry (PHAR).27 Various explanations for this disparity have been proposed, including worse baseline haemodynamics in men, reduced pulmonary vascular remodelling, greater immune dysregulation, less aggressive treatment and different therapeutic responses. The predominant hypothesis centres on sex-based differences in right ventricular (RV) function, as males generally have lower RV ejection fractions and poorer RV adaptation to the increased afterload of PAH – factors strongly linked to survival. This supports an ‘opposite-effects’ model, in which female sex switches from being a risk factor for developing PAH to offering a survival advantage once the disease is present. However, alternative explanations must be considered, particularly collider-stratification bias, which can make a risk factor (like female sex) appear protective due to statistical distortions from stratifying by disease status. In the analysis of the PHAR registry, women presented with more severe baseline disease but still had better survival, and the differences could not be explained by available clinical variables. The data suggest that unmeasured, higher risk pathways – more common in men, such as methamphetamine use or HIV – may lead to PAH and independently increase mortality, creating the illusion of female sex being protective. Modelling confirmed that collider-stratification bias could plausibly account for these mortality differences. Limitations in PHAR, such as lack of imaging data, detailed comorbidity information and nuanced PAH aetiology classification, restrict deeper investigation.27 Ultimately, sex-based mortality differences in PAH are likely due to a combination of biological, treatment and unmeasured risk pathways.

Whites had higher mortality than other races in 2007 (6.6%) and 2017 (5.1%). They also had the highest number of hospitalizations at both time points with 67.4% in 2007 and 64.1% in 2017. In the multivariable analysis for predictors of mortality, Black and Hispanic patients were less likely to die than White patients. In contrast, several previously reported studies and registries in PAH showed higher mortality in Black and Hispanic patients compared with White patients.28–30 However, the 5-year outcome study of the REVEAL registry also showed that White patients had higher mortality compared with Black and Hispanic patients.13 The possible reasons for racial variations may be related to genetic, structural, pharmacogenetic and socioeconomic differences.31 Additionally, there may be racial variation in risk for subgroups of IPAH, which may play a role in mortality rates.31

Regional variations showed decreased hospitalizations in the north-east but increased hospitalizations in the south and west from 2007 to 2017. The reason for this remaims unclear; however, it could be related to variations in access to expert care, as there is a larger number of PAH specialty centres in the north-east.

Our study showed that compared with rural, urban-teaching and non-teaching hospitals had higher all-cause mortality. Studies from other diseases have shown the opposite, with rural communities associated with higher age-adjusted mortality rates and a greater number of potentially preventable deaths from the five leading causes of death compared with urban areas. This is due to a combination of social, geographic, behavioural and structural factors.32 Our hypothesis is that higher mortality rates among patients with PAH in urban hospitals likely reflect referral and selection bias rather than differences in quality of care. Urban centres, particularly teaching hospitals, often receive the most critically ill or complex cases transferred from rural areas, which increases their observed mortality. These patients may already have advanced disease or complications by the time they arrive, skewing outcomes. Additionally, urban hospitals may have more comprehensive coding and documentation practices, capturing more comorbidities and deaths. In contrast, rural hospitals may treat more stable patients or have underreported outcomes. The higher mortality seen in urban settings is likely due to the severity of illness at presentation rather than inferior care.

Previous studies have shown that patients with PAH carry significant economic burden. According to the findings of an analysis using the Optum Research Database from 2007 to 2011, the average cost of all-cause hospitalizations among patients with PAH (n=5,582) was $34,123 ± $107,005 (mean + standard deviation) per hospitalization.33 Our data show that the total charges for IPAH in United States Dollars (USD), calculated as median, interquartile range, significantly increased from 2007 to 2017 ($26,016 to $46,450) and are not explained by inflation alone. However, when comparing IPAH hospitalization charges with overall hospitalization charges, IPAH hospitalization charges have decreased from 0.09% ($340,839,104/$359,759,284,438) to 0.06% ($266,170,409/$434,241,375,872) from 2007 to 2017 (Table 5).

There are a few limitations in this study. Using the ICD-9-CM and ICD-10-CM codes, we included individuals who were hospitalized with IPAH. First, we cannot say whether individuals received a complete IPAH evaluation and were diagnosed with a right heart catheterization. Second, based on the NIS database, we are unable to determine if the patients have had IPAH therapy. Third, the IPAH diagnosis could be inaccurate, patients may have been diagnosed with PH due to secondary causes, and an ICD code for IPAH was used. Fourth, the number of hospitalizations may not be precise since a patient’s readmission was counted as a new hospitalization. Finally, there may be coding mistakes in the NIS database, and the primary discharge diagnosis may not adequately reflect the disease that resulted in admission to the hospital.

Since the first therapeutic intervention for PAH in 1995, significant advances have been made in the management of IPAH. Despite these therapeutic and clinical advancements, which have resulted in improved survival rates, IPAH remains a disease with substantial morbidity and mortality. The importance of early detection and diagnosis is crucial. Studying patterns in patient characteristics related to hospitalizations can aid in the development of future research and treatment approaches. This is the first study that has used the nationwide data to present the analysis of hospitalizations related to IPAH. According to our data, total hospitalizations and all-cause mortality have decreased between 2007 and 2017. Hospitalizations are higher in females, but mortality is higher in males and White race. Hospitalizations have decreased in the north-east but increased in the US south and west. Even though the number of IPAH hospitalizations and all-cause mortality has decreased, the total cost of IPAH hospitalizations has risen but to a lesser degree than allcause hospitalizations. These trends can be accounted for by the impact of increased availability of PAH therapy in the modern treatment era; however, IPAH remains an incurable and progressive disease with substantial healthcare costs. Longitudinal population studies are likely to provide more information pertaining to identifying cost-effective management strategies to reduce the healthcare burden.

3

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4

Article Information

Disclosure

Bisharah S Rizvia, Rupak Desai, Jean M Elwing and Vijay Balasubramanian have no financial or non-financial relationships or activities to declare in relation to this article.

Compliance With Ethics

This study was performed in accordance with the Helsinki Declaration of 1964, and its later amendments. Institutional Review Board approval (UHS SoCal MEC, Temecula CA, USA) and informed consent were not required for this study as it involved analysis of de-identified publicly available data.

Review Process

Double-blind peer review.

Authorship

The named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship of this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published.

Correspondence

Bisharah S RizviInterventional PulmonologyVirginia Commonwealth University, Richmond, VA, USA; bsrizvi1@gmail.com

Support

No funding was received in the publication of this article.

Access

This article is freely accessible at touchRESPIRATORY.com. © Touch Medical Media 2025.

Data Availability

The datasets generated and analysed during the current study are available online at: https://hcup-us.ahrq.gov/db/nation/nis/nisdbdocumentation.jsp

Received

2024-04-12

5

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