| Literature DB >> 29017478 |
Roberto Tonelli1, Elisabetta Cocconcelli2, Barbara Lanini3, Isabella Romagnoli3, Fabio Florini4, Ivana Castaniere5, Dario Andrisani5, Stefania Cerri5, Fabrizio Luppi5, Riccardo Fantini5, Alessandro Marchioni5, Bianca Beghè5, Francesco Gigliotti3, Enrico M Clini5.
Abstract
BACKGROUND: Recent evidences show that Pulmonary Rehabilitation (PR) is effective in patients with Interstitial Lung Disease (ILD). It is still unclear whether disease severity and/or etiology might impact on the reported benefits. We designed this prospective study 1) to confirm the efficacy of rehabilitation in a population of patients with ILDs and 2) to investigate whether baseline exercise capacity, disease severity or ILD etiology might affect outcomes.Entities:
Keywords: Endurance test; Endurance time; Functional performance; Interstitial lung diseases; Pulmonary rehabilitation
Mesh:
Year: 2017 PMID: 29017478 PMCID: PMC5633868 DOI: 10.1186/s12890-017-0476-5
Source DB: PubMed Journal: BMC Pulm Med ISSN: 1471-2466 Impact factor: 3.317
Fig. 1Study flowchart
Baseline features of study population
| Baseline characteristics | Overall | Center of provenience |
| Setting of PR program |
| ||
|---|---|---|---|---|---|---|---|
| Aa (n. 20) | Bb (n. 21) | In (n. 30) | Out (n. 11) | ||||
| Age (years) | 66.9 ± 10.9 | 67.8 ± 9.7 | 65.4 ± 11.1 | .74 | 70.3 ± 15.7 | 62.4 ± 7.1 | 0.12 |
| Gender (males: females) | 27: 14 | 13: 7 | 14: 7 | .99 | 21: 9 | 8: 3 | 0.99 |
| BMI (kg/m2) | 28.1 ± 3.4 | 27.8 ± 2.4 | 28.3 ± 1.1 | .84 | 27.6 ± 7.4 | 29.3 ± 1 | 0.46 |
| Diagnosis (IPF: non IPF) | 26: 15 | 13: 7 | 13: 8 | .99 | 18: 12 | 8: 3 | 0.72 |
| Smoking history (yes: no) | 30: 11 | 16: 4 | 14: 7 | .48 | 21: 9 | 9: 2 | 0.69 |
| GAP index -for IPF only- | 3.74 ± 1.69 | 4.14 ± 2.19 | 3.24 ± 1.15 | .11 | 4.36 ± 3.19 | 3.24 ± 1 | 0.345 |
| Inpatients (in: out) | 30: 11 | 15: 5 | 15: 6 | .99 | – | – | – |
| O2 therapy (yes: no) | 12: 29 | 5: 15 | 7: 14 | .73 | 10: 20 | 2: 9 | .46 |
| O2 therapy (continuous: during effort) | 8: 4 | 3: 1 | 5: 3 | .99 | 7: 3 | 1: 1 | .99 |
| Arterial pO2 (mmHg) | 68 ± 12 | 70 ± 10 | 66 ± 7 | .14 | 64 ± 14 | 71 ± 3 | .11 |
| Arterial pCO2 (mmHg) | 37 ± 4 | 38 ± 5 | 37 ± 2 | .4 | 37 ± 4 | 37 ± 1 | .99 |
| FVC (% predicted) | 74.5 ± 21.4 | 72.4 ± 16.4 | 75.8 ± 7.4 | .39 | 70.4 ± 16.4 | 77.8 ± 8.4 | .16 |
| FEV1 (% predicted) | 78.7 ± 20.7 | 79.6 ± 19.6 | 77.4 ± 21.7 | .74 | 72.6 ± 19.6 | 79.4 ± 12.7 | .29 |
| DLCO (% predicted) | 45.5 ± 20.9 | 43.3 ± 21.2 | 46.9 ± 19.5 | .57 | 42.4 ± 19.2 | 47.9 ± 12.5 | .38 |
aCenter A = “Don Gnocchi” Institute, Firenze, Italy
bCenter B = “Villa Pineta” Rehabilitation Hospital in Pavullo n/F, Modena, Italy. Continuous variables are indicated as mean ± standard deviation, non continuous as n
Outcome measures with absolute and relative change following PR
| Outcomes | n | Before PR | Post PR | Absolute change | Relative change (%) |
|
|---|---|---|---|---|---|---|
| MRC | 40 | 2.8 ± 0.8 | 1.7 ± 1.1 | - 1.1 ± 0.8 | −40.8 ± 35 | <.001 |
| SGRQ (Total) | 39 | 50.6 ± 13.9 | 38.5 ± 13.7 | - 12.1 ± 11.1 | −23.3 ± 19 | <.001 |
| SGRQ (Activity) | 39 | 67.6 ± 14 | 589 ± 19.6 | - 8.8 ± 17.6 | −12.5 ± 24.7 | 0.009 |
| SGRQ (Impact) | 39 | 43.7 ± 19.1 | 29.9 ± 15.9 | - 13.7 ± 14.6 | −29.9 ± 41.5 | <.001 |
| SGRQ (Symptoms) | 39 | 40.4 ± 20.9 | 26.7 ± 20.8 | - 17 ± 19.8 | −36 ± 22.1 | <.001 |
| 6MWDT (m) | 39 | 376.8 ± 94.6 | 430.9 ± 96.4 | 54.1 ± 55.4 | 16.7 ± 37.8 | <.001 |
| Dyspnea 6MWTD (Borg Scale) | 39 | 5.2 ± 2.3 | 3.8 ± 2.2 | −1.4 ± 2.1 | −23.4 ± 40.1 | .015 |
| Leg fatigue 6MWTD (Borg Scale) | 39 | 3.5 ± 2.7 | 2 ± 2.2 | −1.6 ± 1.5 | −48.1 ± 71.5 | .006 |
| Cycle dyspneaa (Borg scale) | 40 | 6.1 ± 2 | 4.2 ± 2.7 | - 1.8 ± 1.9 | −33 ± 35.1 | <.001 |
| Cycle leg fatiguea (Borg scale) | 40 | 5.9 ± 2.1 | 3.7 ± 2.7 | - 2.2 ± 2 | −39.5 ± 106 | <.001 |
| Cycle endurance time (min) | 40 | 7.7 ± 3.8 | 12.5 ± 8.4 | 4.8 ± 6.9 | 66 ± 108.1 | <.001 |
| Cycle endurance power (watt) | 40 | 57.5 ± 23.7 | 88.2 ± 57.1 | 31 ± 53.5 | 63.4 ± 33.9 | .003 |
Each outcome value is reported as mean value ± standard deviation (SD); p value are referred to relative changes
aCycle dyspnea and leg fatigue were assessed at isotime
Fig. 2Effect of PR setting and center of enrollment on PR effectiveness expressed in terms of relative change from baseline. Cycle dyspnea and leg fatigue were assessed at isotime. * Center A = “Don Gnocchi” Institute, Firenze, Italy. ** Center B = “Villa Pineta” Rehabilitation Hospital in Pavullo n/F, Modena, Italy
Fig. 3Correlation between baseline FVC (panel a), DLCO (panel b), GAP index (panel c), ILD etiology (panel d), power developed at endurance test (ET) (panel e), distance covered at 6MWDT panel f) and change in 6MWDT distance (%) after PR. Statistical significant is indicated by p value while correlation is indicated by the Pearson’s correlation coefficient r
Fig. 5Correlation between baseline FVC (panel a), DLCO (panel b), GAP index (panel c), ILD etiology (panel d), power developed at endurance test (ET) (panel e), distance covered at 6MWDT panel f) and change in Endurance Time after PR. Statistical significant is indicated by p value while correlation is indicated by the Pearson’s correlation coefficient r
Fig. 4Correlation between baseline FVC (panel a), DLCO (panel b), GAP index (panel c), ILD etiology (panel d), power developed at endurance test (ET) (panel e), distance covered at 6MWDT panel f) and change in SGRQ (total) after PR. Statistical significant is indicated by p value while correlation is indicated by the Pearson’s correlation coefficient r