| Literature DB >> 27301413 |
Deborah McCollister1, Shannon Shaffer2, David B Badesch3,4, Arthur Filusch5, Elke Hunsche6, René Schüler6, Ingela Wiklund7, Andrew Peacock8.
Abstract
BACKGROUND: Regulators and clinical experts increasingly recognize the importance of incorporating patient-reported outcomes (PROs) in clinical studies of therapies for pulmonary arterial hypertension (PAH). No PAH-specific instruments have been developed to date in accordance with the 2009 FDA guidance for the development of PROs as endpoints in clinical trials. A qualitative research study was conducted to develop a new instrument assessing PAH symptoms and their impacts following the FDA PRO guidance.Entities:
Keywords: Activities of daily living; Health-related quality of life; Patient-reported outcomes; Pulmonary arterial hypertension; Symptoms
Mesh:
Year: 2016 PMID: 27301413 PMCID: PMC4908719 DOI: 10.1186/s12931-016-0388-6
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Fig. 1Study flow
Study sites
| Site number | Phase of study | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 | X | X | X |
| 2 | X | X | |
| 3 | X | X | X |
| 4 | X | ||
| 5 | X | ||
Patient demographic and clinical characteristics for targeted recruitment and enrolled cohort
| Target | Phase 1: focus groups ( | Phase 2: cognitive interviews ( | Phase 3: cognitive/usability interviews ( | Total sample ( | |
|---|---|---|---|---|---|
| Age (years) | |||||
| <65 | Phase 1 & 2: No exact target aside from diversity; | 18 (72 %) | 13 (68 %) | 8 (80 %) | 40 (73 %) |
| ≥65 | Phase 1 & 2: No exact target aside from diversity; | 7 (18 %) | 6 (32 %) | 2 (20 %) | 15 (27 %) |
| Mean ± SD | 53.6 ± 15.5 | 54.3 ± 17.7 | 49.6 ± 13.1 | 53.1 ± 15.8 | |
| Range | 28–76 | 20–79 | 28–69 | 20–79 | |
| Gender (n, %) | |||||
| Female | 75 %–80 % | 23 (92 %) | 18 (90 %) | 10 (100 %) | 51 (93 %) |
| Male | 20 %–25 % | 2 (8 %) | 2 (10 %) | 0 (0 %) | 4 (7 %) |
| Ethnicity (n, %)a | |||||
| Caucasian | 70 %–75 % | 17 (68 %) | 12 (60 %) | 8 (80 %) | 37 (68 %) |
| African American | 7 %–10 % | 4 (16 %) | 4 (20 %) | 1 (10 %) | 9 (16 %) |
| Hispanic or Latino | 7 %–10 % | 1 (4 %) | 3 (15 %) | 2 (20 %) | 6 (11 %) |
| Asian | 3 %–5 % | 0 | 0 | 0 | 0 |
| American Indian/Alaskan Native | 3 (12 %) | 0 (0 %) | 0 (0 %) | 3 (5 %) | |
| Otherb | 0 (0 %) | 1 (5 %) | 0 (0 %) | 1 (2 %) | |
| Highest level of education (n, %) | No exact target aside from diverse educational background | ||||
| Elementary/primary school | 0 (0 %) | 0 (0 %) | 1 (10 %) | 1 (2 %) | |
| Secondary/high school | 8 (32 %) | 5 (25 %) | 1 (10 %) | 14 (25 %) | |
| Some college | 12 (48 %) | 7 (35 %) | 6 (60 %) | 25 (45 %) | |
| College degree | 2 (8 %) | 4 (20 %) | 1 (10 %) | 7 (13 %) | |
| Postgraduate degree | 3 (12 %) | 3 (15 %) | 1 (10 %) | 7 (13 %) | |
| Other | 0 (0 %) | 1 (5 %) | 0 (0 %) | 1 (2 %) | |
| Incident vs. prevalent patients | |||||
| Newly diagnosed (incident) | 10 %–15 % | 2 (8 %) | 5 (25 %) | 2 (20 %) | 9 (16 %) |
| Previously diagnosed (prevalent) | 85 %–90 % | 23 (92 %) | 15 (75 %) | 8 (80 %) | 46 (84 %) |
| Patient’s most recent FC | |||||
| FC I | 5 %–8 % | 2 (8 %) | 2 (10 %) | 0 (0 %) | 4 (7 %) |
| FC II | 35 %–40 % | 11 (44 %) | 8 (40 %) | 8 (80 %) | 27 (49 %) |
| FC III | 45 %–50 % | 11 (44 %) | 9 (45 %) | 2 (20 %) | 22 (40 %) |
| FC IV | 3 %–5 % | 1 (4 %) | 1 (5 %) | 0 (0 %) | 2 (4 %) |
| PAH etiology | |||||
| APAH | 50 %–55 % | 11 (56 %) | 9 (45 %) | 3 (30 %) | 23 (42 %) |
| IPAH | 45 %–50 % | 14 (44 %) | 10 (50 %) | 7 (70 %) | 31 (56 %) |
| FPAH | 3 %–5 % | 0 (0 %) | 1 (5 %) | 0 (0 %) | 1 (2 %) |
| Shortness of breath at its worst (numerical rating scale, 0–10), mean ± SD | N/A | ||||
| Walking on flat surface | 4.0 ± 2.2 | 4.0 ± 2.9 | 4.8 ± 3.1 | 4.1 ± 2.7 | |
| Climbing up 1 flight of stairs | 6.6 ± 2.5 | 5.3 ± 3.2c | 8.1 ± 2.0 | 6.4 ± 2.9c |
aNot mutually exclusive; bParticipant wrote “Jamaican” (n = 1); c1 participant did not answer this question (Phase 2 n = 19, Total n = 54); APAH PAH associated with other conditions, FC functional class, FPAH familial PAH, IPAH idiopathic PAH, N/A not applicable, PAH pulmonary arterial hypertension, SD standard deviation
Fig. 2SF-36 results (mean ± standard deviation). Dashed line shows the general population norm score (50) for females and males in the US
Spontaneously reported PAH symptoms and impacts selected for inclusion in the draft PRO
| n (%) | |
|---|---|
| Symptoms ( | |
| Shortness of breath | 23 (92 %) |
| Tiredness/fatigue/weakness/lack of energy | 21 (84 %) |
| Swelling in ankles or legs | 19 (76 %) |
| Rapid heartbeat/heart fluttering | 19 (76 %) |
| Chest pain/tightness | 16 (64 %) |
| Dizziness/lightheadedness | 14 (56 %) |
| Cough/dry cough | 13 (52 %) |
| Loss of appetite | 10 (40 %) |
| Swelling in stomach area | 6 (24 %) |
| Impacts ( | |
| Physical | |
| Stairs/exercise | 5 (100 %) |
| Carrying/lifting things | 4 (80 %) |
| Walking slower or with difficulty | 3 (60 %) |
| Activities of Daily Living | |
| Household chores | 5 (100 %) |
| Errands | 5 (100 %) |
| Work (effects on career or school/reducing hours) | 5 (100 %) |
| Washing/dressing | 3 (60 %) |
| Social Activities | |
| Needing help from others | 4 (80 %) |
| Going out to social activities | 3 (60 %) |
| Maintaining relationships | 3 (60 %) |
| Feeling embarrassed | 2 (40 %) |
| Cognition | |
| Concentration/memory/articulating thoughts/slow thinking | 3 (60 %) |
| Emotions | |
| Sad | 4 (80 %) |
| Frustrated/angry/mad | 4 (80 %) |
| Anxious/worried/stressed/loss of control | 3 (60 %) |
aRefers to difficulties in the listed areas
Example quotations from participants about their PAH symptoms and impacts
| Symptom/Impact | Example quotation |
|---|---|
| Shortness of breath | I’ve just always had shortness of breath and can hardly breathe sometimes in daily activities … |
| Tiredness | I’m always tired. …Always. I could just get up from a 4-hour nap, and still want to go back to bed because I’m tired. |
| Swelling in ankles or legs | … when I used to have it in my legs and my feet, my legs were so heavy that I could hardly even walk, and my feet were so swollen. |
| Rapid heartbeat | I’ve had my heart rate go up with just sitting. I’m just sitting there and all of a sudden it starts beating real, real fast, and I have to take a few deep breaths to try to get it to slow down. |
| Physical activities | You know they say walk-how far can you walk. [laughter] Oh, about two blocks and I have to sit down or something, you know. |
| Activities of daily living | …I’m the cook, and [laughter] used to I’d go in and prepare everything all at one time. Well, now I go in and peel my potatoes and cut them up and put them on the stove or whatever, and I go back and sit down for 20 minutes, and then I go back and prepare something else, until finally I have it all going on the stove cooking, but you have to stretch things out. … |
| Cognition | Um, yeah, your thinking sometimes just isn’t—how can I—how can I describe it? You’re not able to think things through clearly like you had in the past. Um, there’s a hesitation. You know, you might be asked a question, and there’s a hesitation because you—you’re trying to put the pieces together to respond. |
| Emotional impacts | I mean, I think the biggest impact is just the worry about it, you know. I worry about getting sicker. I worry about what could happen. You know, I know the stories and how it can go. And you know in the beginning, you read all this stuff, and you think you’re not going to live a year so you start thinking about that. |
Fig. 3Conceptual framework