Dataset Information

Obesity in Pulmonary Arterial Hypertension (PAH): The Pulmonary Hypertension Association Registry (PHAR).

ABSTRACT:

Rationale

Obesity is associated with pulmonary arterial hypertension (PAH), but its impact on outcomes such as health-related quality of life (HRQoL), hospitalizations and survival is not well understood.

Objectives

To assess the effect of obesity on health-related quality of life (HRQoL), hospitalizations and survival in patients with PAH.

Methods

We performed a cohort study of adults with PAH from the Pulmonary Hypertension Association Registry, a prospective multicenter registry. Multivariate linear mixed effects regression was used to examine the relationship between weight categories and HRQoL using the Short Form-12 (SF-12) and emPHasis-10 (e10). We used multivariable negative binomial regression to estimate hospitalization incidence rate ratios (IRRs) and Cox regression to estimate hazard ratios (HRs) for transplant-free survival by weight status.

Results

767 subjects were included: mean age of 57 years, 74% female, 33% overweight and 40% obese, with median follow-up duration of 527 days. Overweight and obese patients had higher baseline e10 scores (worse HRQoL), which persisted over time (p<0.001). The overweight and obese have a trend towards increased incidence of hospitalizations compared to normal weight (IRR 1.34, 95% confidence interval (95%CI) 0.94-1.92 and 1.33, 95%CI 0.93-1.89, respectively). Overweight and obese patients had lower risk of transplant or death as compared to normal weight patients (HR 0.45, 95%CI 0.25-0.80 and 0.39, 95%CI 0.22-0.70, respectively).

Conclusions

In a large multicenter, prospective cohort of PAH, overweight and obese patients had worse disease-specific HRQoL despite better transplant-free survival compared to normal weight patients. Future interventions should address the specific needs of these patients.

SUBMITTER: Min J

PROVIDER: S-EPMC7869778 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Women with pulmonary arterial hypertension (PAH) experience multiple symptoms, including dyspnea, fatigue, and sleep disturbance, that impair their health-related quality of life (HRQOL). However, we know little about phenotypic subgroups of patients with PAH with similar, concurrent, multiple symptoms. The objectives of this study were to define the "symptome" by symptom cluster phenotypes and compare characteristics such as biomarkers, cardiac structure and function (echocardiography), functional capacity (6-min walk distance), and HRQOL between the groups. This cross-sectional study included 60 women with PAH. Subjects completed an assessment battery: Pulmonary Arterial Hypertension Symptom Scale, Pittsburgh Sleep Quality Index, Multidimensional Dyspnea Profile, Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function, PROMIS® Sleep-Related Impairment, and the emPHasis-10. Subjects also underwent transthoracic echocardiography, phlebotomy, 6-min walk distance, and actigraphy. The three symptoms of dyspnea, fatigue, and sleep disturbance were used to define the symptom clusters. Other PAH symptoms, plasma and serum biomarkers, cardiac structure and function (echocardiography), exercise capacity (6-min walk distance), sleep (actigraphy), and HRQOL were compared across phenotypes. The mean age was 50 ± 18 years, 51% were non-Hispanic white, 32% were non-Hispanic Black and 40% had idiopathic PAH. Cluster analysis identified Mild (n = 28, 47%), Moderate (n = 20, 33%), and Severe Symptom Cluster Phenotypes (n = 12, 20%). There were no differences for age, race, or PAH etiology between the phenotypes. WHO functional class (p < 0.001), norepinephrine levels (p = 0.029), right atrial pressure (p = 0.001), physical function (p < 0.001), sleep onset latency (p = 0.040), and HRQOL (p < 0.001) all differed significantly across phenotypes. We identified three distinctive symptom cluster phenotypes (Mild, Moderate, and Severe) for women with PAH that also differed by PAH-related symptoms, physical function, right atrial pressure, norepinephrine levels, and HRQOL. These phenotypes could suggest targeted interventions to improve symptoms and HRQOL in those most severely affected.