| Literature DB >> 30458739 |
K Rajala1,2, J T Lehto3, E Sutinen4, H Kautiainen5, M Myllärniemi6, T Saarto7.
Abstract
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a chronic disease with a high symptom burden and poor survival that influences patients' health-related quality of life (HRQOL). We aimed to evaluate IPF patients' symptoms and HRQOL in a well-documented clinical cohort during their last two years of life.Entities:
Keywords: Health related quality of life; Idiopathic pulmonary fibrosis; Palliative care; Symptoms
Mesh:
Year: 2018 PMID: 30458739 PMCID: PMC6247520 DOI: 10.1186/s12890-018-0738-x
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Fig. 1Flowchart of patient recruitment and response rate
Fig. 2Cumulative mortality after the diagnosis of IPF. Time-point of the diagnosis is marked with 0 and 95% confidence intervals with the grey area. Kaplan-Meier method was used to estimate the cumulative mortality
Patient characteristics
| Total number of patients | 92 |
|---|---|
| Age, mean (range) | 75 (57–92) |
| Males n (%) | 67 (73) |
| Duration of IPF in years, mean (SD) | 3.6 (2.3) |
| Education in years, mean (SD) | 10 (3) |
| Living alone, n (%) | 31 (34) |
| Working, n (%) | 4 (4) |
| Smoking status, n (%)a | |
| Smoker | 6 (7) |
| Ex-smoker | 50 (54) |
| Never-smoker | 36 (39) |
| FVC (litres), mean (SD)b | 2.9 (0.8) |
| FVC (% of predicted), mean (SD)b | 78 (16) |
| Diffusion capacity, mean(SD)c | 54 (13) |
| Co-morbiditiese, n (%) | |
| Hypertension | 41 (45) |
| Coronary heart disease | 35 (38) |
| Diabetes | 24 (26) |
| Heart failure | 23 (25) |
| COPD | 20 (22) |
| Cancer | 16 (17) |
| Asthma | 8 (9) |
| No co-morbidities | 13 (14) |
| Number of co-morbidities, median (range) | 2 (0–7) |
| Place of death, n (%)b | |
| Hospitald | 62 (67) |
| Home | 19 (22) |
| Nursing home | 4 (5) |
| Hospice | 3 (3) |
asmoking status, forced volume vital capacity (FVC) and diffusion capacity are recorded at the time of diagnosis and other factors at the time of the first questionnaire
bData missing from 4 patients; c data missing from 12 patients; d10 in intensive care unit; e patient-reported co-morbidities
Fig. 3Relationships between Health-related quality of life domains (RAND-36) two years before death. The curves were derived from a 5-knot restricted cubic splines regression models. The models were adjusted for age and gender. The grey area represents 95% confidence intervals. Dashed lines mark Finnish general population levels
Fig. 4Relationships of symptom severity measured by ESAS two years before death. The curves were derived from a 5-knot restricted cubic splines regression models. The models were adjusted for age and gender. Grey area represents 95% confidence intervals. ESAS, Edmonton symptom assessment scale
Fig. 5Change in the proportion of patients with MMRC score ≥ 3 during the last two years of life. The curves were derived from a 5-knot restricted cubic splines logistic regression models. The models were adjusted for age and gender. The grey area represents 95% confidence intervals