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. Author manuscript; available in PMC: 2016 Jan 6.
Published in final edited form as: Bone Marrow Transplant. 2015 Sep 14;51(1):13–26. doi: 10.1038/bmt.2015.195

Physical function and quality of life in patients with chronic graft-versus-host-disease: A summary of preclinical and clinical studies and a call for exercise intervention trials in patients

Carmen Fiuza-Luces 1, Richard J Simpson 2, Manuel Ramírez 3, Alejandro Lucia 4, Nathan A Berger 5
PMCID: PMC4703521  NIHMSID: NIHMS724761  PMID: 26367233

Abstract

Allogeneic Hematopoietic Stem Cell Transplant, to reconstitute hematopoietic and immune status of patients undergoing myeloablative therapy for hematologic disorders, has been of great benefit in minimizing or eradicating disease and extending survival. Patients who undergo allogeneic hematopoietic stem cell transplant (allo-HSCT) are subject to many comorbidities among which the most significant, affecting quality of life (QoL) and survival, are acute (aGVHD) and chronic Graft Versus Host Disease (cGVHD), resulting from donor lymphocytes reacting to and damaging host tissues. Physical activity and exercise have clearly been shown, in both children and adults, to enhance fitness, improve symptomatology and QoL, reduce disease progression and extend survival for many diseases including malignancies. In some cases, vigorous exercise has been shown to be equal to or more effective than pharmacologic therapy. This review addresses how cGVHD affects patients’ physical function and physical domain of QoL, and the potential benefits of exercise interventions along with recommendations for relevant research and evaluation targeted at incorporating this strategy as soon as possible after allo-HSCT and ideally, as soon as possible upon diagnosis of the condition leading to allo-HSCT.

Introduction

Allogeneic hematopoietic cell transplantation (allo-HSCT) is a potentially curative therapy for several hematologic diseases. Graft-versus-host disease (GVHD) is a major complication affecting an ever increasing number of long term survivors (14). GVHD arises when donor T-cells act against the cells of the immunocompromised host recipient because of histocompatibility antigen disparity (2). The chronic form of GVHD (cGVHD) may be lethal and survivors have to face the challenge of severe morbidity, which considerably impairs their quality of life (QoL), particularly those domains related to physical function (see below). Moreover, prolonged cGVHD is a risk factor for other complications (5) and a prognostic factor for overall survival and relapse-free survival (6).

Systemic corticosteroid therapy is the standard first-line treatment for cGVHD, though under 40–50% respond favorably and secondary and tertiary treatments have been associated with a high rate of failure (7). In view of these poor treatment outcomes and the toxic effects of treatment, a main research objective is to identify new treatment strategies that will help preserve or even improve the QoL of these patients. Such strategies should specifically target the physical domain of QoL, thus minimizing impacts on daily living activities. It is widely known that an active lifestyle has numerous beneficial effects on the course of most chronic diseases ultimately improving patient well-being (8). It is therefore no surprise that physical exercise is often recommended as a therapeutic tool for numerous conditions, though its effects on patients with cGVHD are largely unknown. Work in this field requires valid reliable tools to accurately define the physical condition of a patient and the patient's response to a given intervention in terms of effects on daily living activities. This brief review provides an overview of our current understanding of this debilitating disease, how it affects the patients’ functional capacity and physical domain of QoL and, and what can we can learn from pre-clinical exercise intervention studies. Recommendations are also given for future exercise studies in patients targeting mainly to improve their physical function and physical function-related domains of QoL.

Summary of diagnosis criteria for cGVHD

The National Institutes of Health (NIH) Consensus Working Group for Diagnosis and Staging of cGVHD considered the clinical and pathological characteristics of GVHD (914) to define two main categories each with two subcategories (Figure 1): acute (aGVHD), including classic aGVHD, and late-onset aGVHD; and cGVHD, comprising classic cGVHD and overlap syndrome (9). Overlap syndrome is characterized by a poor prognosis, functional impairment, and higher symptom burden and mortality (15). The NIH also consider the necessary clinical manifestations for a diagnosis of cGVHD (Table 1) distinguishing this form from aGVHD when there is at least one diagnostic clinical sign of cGVHD or at least one distinctive manifestation confirmed by biopsy or other relevant tests, along with the exclusion of other possible diagnoses (9,16).

Figure 1.

Figure 1

GVHD classification following National Institutes of Health Consensus Working Group for Diagnosis and Staging of cGVHD. Abbreviations: aGVHD, acute graft-versus-host disease; cGVHD, chronic graft-versus-host disease.

Table 1.

Diagnostic manifestations of cGVHD (9).

ORGAN FEATURES
Skin Poikiloderma
Lichen-planus like features
Sclerotic features
Morphea-like features
Lichen-sclerosis like features
Mouth Lichen-type features
Hyperkeratotic plaques
Restriction of mouth opening from sclerosis
Genital tract Lichen-planus-like features
Vaginal scarring or stenosis
Gastrointestinal tract Esophageal web
Strictures or stenosis (upper-mid third of oesophagus)
Lungs Bronchiolitis obliterans diagnosed with lung biopsy
Muscles, fascia, joints Fasciitis
Joint stiffness or contractures secondary to sclerosis

Summary of the pathobiology of cGVHD

The events leading to the development of cGVHD have been defined in large measure using murine models that show three disease mechanisms: (i) the production of auto-antibodies (typically anti-DNA); (ii) the development of fibrosis; and (iii) abnormal thymus function (1719). Since none of these events per se faithfully reproduce the mechanisms of human cGVHD (17,18), two other new models have appeared: one recapitulating a transition from aGVHD to a scleroderma-like form of cGVHD with salivary gland involvement and serum antibodies (20), and another reproducing a systemic disease with multi-organ involvement, in which lung and liver fibrosis are associated with CD4 T-cell and B-cell infiltration (21).

Different theories have tried to explain the pathophysiology of cGVHD, primarily involving the role of T or B-cells, thymus dysfunction or fibrotic changes. Briefly, cGVHD is linked to a high percentage of memory effector CD4+ CCR7+/CD62Llow T-cells from the donor as well as CD8+/CCR7/CD45RA+ T cells, with CD4+ and CD8+ cell infiltrates detected in oral lichenoid lesions (22), and CD8+ infiltrates detected in the skin, intestine and oral mucosa (23,24). The expression of CD134 (OX40) on the surface of CD8+ and CD4+ T-cells has been associated with cGVHD onset, and marks an early T-cell activation by inflammatory cytokines (25). A decline in regulatory T-cells (Tregs) leads to a loss of peripheral tolerance, autoimmunity and cGVHD (19,26). In fact, patients with cGVHD have lower numbers of CD4+ Tregs compared to patients without cGVHD (27,28).

The role played by B lymphocytes in cGVHD has been well established (2933), with patients showing high levels of B-cell activating factor (BAFF) (31,3338). There could be an increased BAFF/B-cell ratio resulting in an immune pathology (31,33,36). The development of cGVHD is also related to an increase in B-cells expressing high levels of the toll-like receptor 9 (38). In addition, given that many memory B-cells express auto-reactive antibodies, the inflammation present during GVHD activates these cells to produce allo/auto-antibodies (21,3941). Further, an immune system recovery process poor in B-cells leads to a state of immunodeficiency increasing the risk of infection (21,29,33,37). Finally, the decrease produced in naïve and transition B-cells increases the auto-reactivity of B-cells with antigenic experience (expressing CD27+) (33). This subgroup of B-cells circulates in patients with cGVHD who present BAFF receptors (33).

The damage caused by conditioning regimens in the thymus, previous aGVHD, atrophy and/or the prophylactic regimen, deregulates central tolerance mechanisms during the immune recovery that leads to cGVHD (42). Regarding fibrotic changes, several complement factors play a role in cGVHD. Complement factor 3 is deposited at the dermis-epidermis junction and complement factor 5 modifies liver fibrosis (43). Chemokines C-C motif ligand-3 and 2 are chemotactic for mononuclear phagocytes and are essential pro-fibrotic mediators (44). T-CD4+ lymphocytes are stimulated by class II antigenic determinants expressed on fibroblasts, keratinocytes and other cells, and once activated, these cells produce cytokines [IL4, transforming growth factor (TGF)β] that induce collagen production by the fibroblasts, thereby producing fibrotic lesions in the skin, liver, exocrine glands and thymus which are characteristic of cGVHD (45). Specifically, TGFβ is involved in autoimmune diseases and cGVHD (46).

Clinical manifestations of cGVHD: Implications for patients’ physical function and QoL

The clinical manifestations of cGVHD resemble those observed in an autoimmune disease such as systemic lupus erythematosus, lichen planus and scleroderma (2,9,16,40,47,48), affecting a single organ or many body zones (9). Initial signs usually appear in the oral mucosa with other organs involved such as the skin, nails, eyes, muscles, lungs, tendons, gastrointestinal tract, liver, joints, nerves, kidneys, serous membranes, genitals, heart and immune system (see Figure 2). Thus, this disease has a negative impact on the chain of interactive events involved in physical exercise capacity, mainly blood oxygenation (which depends on pulmonary function), supply of oxygenated blood to the working muscles (which depends on the cardiac pump), and muscle function.

Figure 2.

Figure 2

Clinical manifestations of chronic graft versus host disease (cGVHD) and how they affect patients’ daily physical function and quality of life (QoL).

Quality of life is a multidimensional concept describing patients' perceptions of the impacts of their disease and its treatment on their physical, psychological, social, financial and spiritual well-being (4951). Chronic GVHD has a negative impact on QoL (1,15,48,50,5268), though this is not detectable in all patients (69). According to the NIH criteria for grading cGVHD severity, patients with mild cGVHD have higher QoL than those with moderate cGVHD, and both of these categories have higher QoL than patients with severe cGVHD (63). Patients with overlap subtype of cGVHD report worse QoL and higher symptom burden than patients with classic cGVHD (15). As for age, middle-aged (41–59 years) patients report lower QoL compared to younger (18–40 years) or older patients (≥60 years) (70). Importantly, patients affected by cGVHD have significant impairment in QoL compared to age- and sex-matched US population normative data (65).

Although there is some controversy on how does tissue-specific affectation impact QoL, the presence of sclerotic, skin, joints-fascia, and/or lung involvement is thought to have the greatest deteriorating effect on the QoL of moderate-severely affected cGVHD patients (53). Other important determinants of patient-reported QoL might be gastrointestinal involvement and elevated bilirubin (71), or skin and nutrition symptoms in patients with overlap syndrome (15).

More specifically, the physical domain of QoL warrants special attention since both allo-HSCT and GVHD, acute or chronic, are known to impair physical functioning (1,50,5,61,7276), limiting a patient's ability to carry out daily living activities (1,59,61). Long periods of bed rest or use of a wheel chair lead to muscle atrophy and cachexia, reducing functional capacity (1,77), and the adverse effects of immunosuppressive therapy (i.e., osteoporosis, osteonecrosis, diabetes mellitus, hypertension, problems in a growing child) further limit a patient's physical capacity, increasing patient morbidity (1,50,59,61,63). The clinical severity of cGVHD is associated with the magnitude of functional deterioration (15,53,61,65), especially in older patients, in whom the decline is more marked compared to their younger peers (70). Besides aging (65), other independent predictors of physical impairment in cGVHD are intensive systemic immunosuppression, reduced capacity for ambulation and greater cGVHD symptom bother (61). Other important contributors to the decline in patients’ physical functioning are upper gastrointestinal and overall liver involvement (71). Patients with overlap syndrome are thought to suffer more marked functional impairment compared to those with classic cGVHD (15). Accordingly, patient-reported QoL and physical functioning are considered important end points of clinical trials (64). These endpoints need to be measured using reliable, safe, practical, valid methods with the objectives of: i) quantifying the effects produced by cGVHD on physical fitness; ii) monitoring changes produced over time in these endpoints in response to an intervention targeted at modifying lifestyle habits; and iv) establishing a common vocabulary for the clinicians managing and caring for these patients. Currently, several assessment tools are available for the different aspects of the physical QoL domain of the patient with cGVHD (see Table 2 for a detailed description of these tests). Many of these tests are recommended by the NIH Consensus Conference on cGVHD (12,78,79). The reader is referred to Table 3 for a detailed analysis of the studies that have used these tests on patients with cGVHD.

Table 2.

A. Functional capacity tests
Assessment scale Description Measured
variable
2MWT The patient is instructed to walk as fast as possible a 50-foot course (25-feet each direction) with 180 degree turns at each end, and the total distance covered in 2 minutes is recorded (80). Functional status.
Functional capacity.
HGS test Grip strength using a portable electronic dynamometer three times in the dominant hand (average of 3 measurements) (82). Functional status.
Functional capacity.
PFTs The LFS is calculated from theFEV1and DLCO corrected for hemoglobin. The FEV1 and DLCO are converted to a numeric score as follows: >80=1; 70% to 79%=2; 60% to 69%=3; 50% to 59%=4; 40% to 49%=5; and <40%=6. The LFS=FEV1 score + DLCO score, with a possible range of 2 to 12, with higher numbers indicating worse dysfunction. The LFS (0 to 3) is derived as follows: 0 = FEV1>80% or LFS 2; 1 = FEV1 60% to 79% or LFS 3 to 5; 2 = FEV1 40% to 59% or LFS 6 to 9; and 3 = FEV1<39% or LFS 10 to 12 (87).
Portable spirometry serves torecord of FEV1 after the patient is instructed to take a deep breath and exhale forcefully and rapidly (3 measures), although formal pulmonary function testing is preferable if available.
Respiratory capacity.
Lung capacity.
ROM Using a standard goniometer in the supine position, participants' mean bilateral ROM measurements are converted to the percentage of normal ROM, using the American Academy of Orthopaedic Surgeons' definition of normal ROM for each joint: measurements that exceeded the maximum value are assigned a score of 100 and joints with fixed contractures are assigned a score of 0, and an aggregate score (125) is calculated representing the patient's average degree of impairment in upper and lower body ROM. Joint/fascia response.
P-ROM scale It is a series of images that captures ROM separately for shoulders, elbows, wrists/fingers, and ankles (83), with lower scores indicating more limited ROM. The P-ROM total score is the sum of scores in all 4 joints, with a maximum possible score of 25. Joint/fascia response.
ROM.
B. Patient’s self-reports of functional capacity and physical domain of quality of life (QoL).
Assessment
scale
Description Measured
variable
HAP It is a 94-item self-reported assessment of energy expenditure and physical fitness. Responders are asked to indicate, whether they are “still doing this activity”, “have stopped doing this activity”, or “never did this activity”. Two scores are calculated: the MAS, which is the number of the most difficult task the respondent is “still doing”, and the AAS, calculated by counting how many activities with lower values than the MAS the respondent has “stopped doing” and subtracting this from the MAS. Daily activity.
Physical functioning
SF-36 This tool is a 36-item self-report questionnaire that examines following domains: physical functioning, role limitations as a result of physical functioning, bodily pain, general health, vitality, social functioning, role emotional functioning, and mental health. These domains can be aggregated into 2 summary scales: the PCS and the MCS, both of them are derived by using a standard algorithm to aggregate scores across the eight domains (population mean of 50; standard deviation of 10). SF-36 higher scores indicate better functioning; lower scores on the PCS indicate limitations in physical functioning and role participation, a high degree of bodily pain, and an unfavorable perception of general health (126). QoL.
Functional health and well-being
FACT-BMT It is a 37-item self-report questionnaire that measures the effect of cancer therapy on domains including physical, functional, social/family, and emotional well-being, and bone marrow transplantation concerns. Individual domain scores can be summarized to give a total FACT-BMT score (including all subscales) or a FACT-TOI (physical well-being + functional well-being + BMT subscale) (91). QoL
L-cGVHD-SC It is 30-item, 7-subscale symptom scale self-administered patient that evaluates adverse effects of cGVHD on skin, vitality (energy), lung, nutritional status, psychological functioning, muscles and joints, eyes, and mouth. A summary score is created by taking the mean of all items and linearly transforming that value to a 0–100 scale (79). We can find a muscle/ joint subscale which is a summary of 4 items, i.e., joint and muscle aches, limited joint movement, muscle cramps, and weak muscles, with each item rated as follows: 0 → not at all; 1 → slightly; 2 → moderately; 3 → quite a bit; 4 →extremely. cGVHD symptom
C. National Institutes of Health specifics scales.
Assessment
scale
Description Measured
variable
NIH joint/fascia score It uses a 0–3-point scale. 0: no symptoms; 1: mild tightness of arms or legs, normal or mild decreased ROM, and not affecting ADL; 2: tightness of arms or legs or joint contractures, erythema thought due to fasciitis, moderate decrease in ROM, and mild-to-moderate limitation of ADL; 3: contracture with significant decrease of ROM and significant limitation of ADL (unable to tie shoes, button shirts, dress self, etc.) Tightness.
ROM.
ADL.
NIH lung score It uses a 0–3-point scale. 0: no symptoms; 1: shortness of breath with stairs; 2: shortness of breath on flat ground; and 3: shortness of breath at rest or requiring oxygen. Pulmonary function.

Abbreviations:ADL, Activities of Daily Living; DLCO, Diffusing Capacity of Carbon Monoxide; FEV1, Forced Expiratory Volume in 1 second; HGS, Hand Grip Strength; LFS, Lung Function Score; PFTs, Pulmonary Function Tests; P-ROM, Photographic-Range of Motion scale; ROM, Range of Motion; 2MWT, 2-Minute Walk Test.

Abbreviations: AAS, Adjusted Activity Score; cGVHD, chronic Graft-versus-Host disease;FACT-BMT, Functional Assessment of Cancer Therapy-Bone Marrow Transplant; FACT-TOI,Functional Assessment of Cancer Therapy–Trial Outcome Index; HAP, Human Activity Profile; L-cGVHD-SC, Lee cGVHD Symptom Scale; MAS, Maximum Activity Score;MCS, Mental Component Score; PCS, Physical Component Score; SF-36, Medical Outcomes Study 36-Item Short-Form Health Survey.

Abbreviations: ADL, Activities of Daily Living; NIH, National Institutes of Health; ROM, Range of Motion.

Table 3.

Summary of studies reporting results on functional capacity tests or self-reports of functional capacity and physical domain of quality of life (QoL) in patients with chronic graft versus host disease (cGVHD).

Reference N, age
(average) and
gender (%)
cGVHD onset (%) NIH cGVHD
global severity
(%)
cGVHD NIH
subtype (%)
Source of transplant
(%)
Functional
capacity
tests
Self-reports
of functional
capacity or
physical
domain of
QoL
Main results
(15) N=427

With classic
Median age in years (range):
49 (17–69)
99% adults
M=64; F=36

With overlap
Median age in years (range): 51 (2–79)
96% adults
M=57; F=43
- None: 0.47 Mild: 10
Moderate: 57.2
Severe: 32.3

With classic
None: 3
Mild: 9
Moderate: 63
Severe: 25

With overlap
Mild: 10
Moderate: 56
Severe: 34
Classic: 18
Overlap: 82
Bone marrow: 7.54
PBSC: 87.6
UC: 4.94

With classic
Bone marrow: 5
PBSC: 90
UC: 5

With overlap
Bone marrow: 8
PBSC: 87
UC: 5
2-MWT
HGS test
PFTs (and portable spirometry)
HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    Patients with overlap syndrome had lower values in 2-MWT, FEV1, SF-36 social functioning scores, HAP, and higher symptom burden than patients with classic cGVHD.

  • -

    The overlap cGVHD was associated with worse overall survival (HR 2.1, 95% CI 1.1–4.7; p=0.03) and higher non-relapse mortality (HR 2.8, 95% CI 1.2–8.3; p=0.02) than classic cGVHD.

(50) With cGVHD
N=117
Median age in years (range): 44 (21–72)
M=55.6; F=44.4
Without cGVHD N=59
Median age in years (range): 44 (18–67)
M=45.8; F=54.2
Unknown: ?
De novo ? Progressive: 20,5
Quiescent: ?
Mild: 28.3
Moderate: 42.7
Severe: 29
Classic: 100 Allo-HSCT: 100 - HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    The HAP MAS and AAS correlated inversely with cGVHD severity (r=−0.25 for MAS and −0.24 for AAS).

  • -

    Lung manifestations of cGVHD correlated with AAS (r=0.17), but not with MAS.

  • -

    HAP scores correlated with subscales from other instruments measuring physical domains, especially the PCS SF-36.

  • -

    There were high internal consistency of HAP and good correlation of MAS and AAS with cGVHD severity.

  • -

    The HAP had higher sensitivity to change of cGVHD activity compared to the SF-36 and the FACT-BMT.

  • -

    Steroid myopathy correlated with both HAP scores.

(53) N=189
Average age in years (range): 48 (18–70).
M=52; F=48
Unknown: 0.5
De novo 35.5 Progressive: 42
Quiescent: 22
Mild: 1
Moderate: 33
Severe: 66
Classic: 88
Overlap: 12
Bone marrow: 18.5
PBSC: 81
UC: 0.5
2-MWT
HGS test
PFTs
ROM
HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    NIH global severity scores were associated (p≤0.001 to p≤0.05) with all measures, with the exception of SF-36 MCS.

  • -

    Joints/fascia, skin, and lung scores showed highest number of significant associations with almost all outcome measures, having a big impact on function and QoL.

  • -

    Joints/fascia and skin scores, but not lung, were associated with intensity of immunosuppression (both p<0.0001), therapeutic intent at the time of evaluation (p<0.0001 for both), and clinician 7-point global assessment of change (p<0.0001 for both).

  • -

    The L-cGVHD-SC was correlated with gastrointestinal score and a NIH Global Score of “severe”.

  • -

    NIH lung score of 3 versus <3 was the most strongly negatively associated with survival, with a 3-year estimated survival of 35% versus 82% respectively, p<0.0001.

(61) N=100
Median age in years (range): 46 (20–66)
M=52; F=48
Unknown: 0
De novo 40 Progressive: 43
Quiescent: 17
Mild: 5
Moderate: 45
Severe: 50
- Bone marrow: 18 PBSC: 80
Unspecified: 2
2-MWT
HGS test
ROM
SF-36
L-cGVHD-SC
  • -

    The mean PCS and seven of eight SF-36 subscale scores were significantly lower (mean=36.8±10.7) than the US population norm of 50 (p<0.001).

  • -

    The highest decrements were in physical function (mean=38.8±10.9) and physical role function (mean=37.8±11.8).

  • -

    Significant independent predictors of impaired performance were intensive systemic immunosuppression, reduced capacity for ambulation, and greater cGVHD symptom bother (p<0.05).

  • -

    Symptom bother had a direct effect on functional performance, as well as an indirect effect partially mediated by functional capacity (Sobel test, p=0.004).

(63) N=264
Median age in years (range): 36.1±11.1
M: 63.3; F: 36.7
De novo 62.1
Progressive: 3.4
Quiescent: 34.5
Mild: 28.4
Moderate: 52.3
Severe: 19.3
Classic: 69.3
Overlap: 30.7
Allo-HSCT:100 - SF-36
  • -

    Patients with mild cGVHD had better QoL than in those with moderate cGVHD (p<0.05).

  • -

    Patients with mild or moderate cGVHD had better QoL than in those with severe cGVHD (p<0.01).

  • -

    Chronic GVHD severity had the greatest significant negative impact on patients’ QoL (PCS: OR=1.4; 95% CI: 1.1–1.8; p=0.004; MCS: OR=1.6; 95% CI, 1.1–2.1; p=0.005), whereas being female was associated with a negative impact on the MCS (OR=1.6; 95% CI: 1.0–2.4; p=0.039).

(64) N=336
Median age in years (range): 52 (19–79)
M: 60; F: 40
- Change in cGVHD severity was examined by comparing severity at each visit to severity at the previous visit. Classic: 77
Overlap: 23
Allo-HSCT: 100 - SF-36
FACT-BMT
FACT-G
  • -

    Change in NIH-assessed global cGVHD severity over a 6-month average timeframe was not associated with change in QoL.

  • -

    Changes in clinician-assessed cGVHD were associated with changes in the FACT-G and FACT-BMT scores.

  • -

    Change in patient-reported cGVHD severity was correlated with change in both the SF-36 and FACT-BMT.

  • -

    Patients demonstrated clinically relevant improvement or worsening in QoL compared to that at the prior visit in approximately 40% of follow-up visits.

  • -

    The SF-36 and FACT-BMT perform well in capturing thepatients’ perspective, and fairly well in capturing physicians’ assessment. Neither correlates well with changes in NIH global severity scores.

(65) N=298 → 87% completed all or part of the
SF-36 and FACT-BMT
Median age in years (range): 53 (20–79).
M=58; F=42
- Mild: 10
Moderate: 59
Severe: 31
Classic: 56
Overlap: 44
Bone marrow: 11
PBSC: 89
- SF-36
FACT-BMT
  • -

    Chronic GVHD severity was independently associated with QoL, adjusting for age.

  • -

    Significant differences were found most often between average QoL scores in moderate and severe cGVHD patients, with fewer significant differences between mild and moderate GVHD.

  • -

    QoL composite and subscale scores were higher on average for patients with moderate GVHD compared with severe cGVHD. Differences in QoL between mild and severe cGVHD were of greater magnitude than between moderate and severe.

  • -

    Mean scores for cGVHD patients were significantly lower for physical functioning, role-physical, bodily pain, general health, vitality, social functioning, and PCS than population normative data.

(70) N=522
Adolescent and young adult (AYA) 18–40 years =22%
M=49; F=51

Middle-aged: 41–59 years =53%
M=57; F=43

Older: ≥60years =25%
M=63; F=37
- Moderate: 58
Severe: 42

AYA
Moderate: 55
Severe: 45

Middle-aged
Moderate: 59
Severe: 41

Older
Moderate: 58
Severe: 42
- AYA
Bone marrow: 19
PBSC: 77
UC: 4

Middle-aged
Bone marrow: 5
PBSC: 92
UC: 4

Older
Bone marrow: 2
PBSC: 94
UC: 4
2-MWT HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    Older patients had lower psychological symptom burden and lower functional status compared to AYA and middle-aged patients.

  • -

    HAP scores were significantly lower for older patients compared to AYA and middle-aged patients (p<0.001).

  • -

    FACT-BMT scores were higher for older patients compared to middle-aged patients, and similar to AYA patients.

  • -

    Older and AYA had comparable FACT-BMT scores, which were higher than middle-aged patients scores.

  • -

    Older patients reported lower SF-36 PFS scores compared to AYA and middle-aged patients, but less bodily pain (p=0.007).

(71) N=567
Median age in years (range): 51 (2–79).
98% adults.
M: 57; F: 43
- Mild: 9 Moderate: 52 Severe: 39 - Bone marrow: 7
PBSC: 89
UC: 4
2-MWT
HGS test
HAP
SF-36
FACT-G
L-cGVHD-SC
  • -

    Lower gastrointestinal involvement (HR 1.67, p=0.05) and elevated bilirubin (HR 2.46, p=0.001) were associated with overall survival; both were also associated with non-relapse mortality. In multivariable analysis using all visits, gastrointestinal score greater than zero (HR 1.69, p=0.02) and elevated bilirubin (HR 3.73, p<0.001) were associated with overall survival; results were similar for non-relapse mortality.

  • -

    Any esophageal involvement and gastrointestinal score greater than zero were associated with both symptoms and QoL. Elevated bilirubin was associated with QoL.

  • -

    Upper gastrointestinal involvement was associated with an estimated of 31.7 feet less (p<0.001), and overall liver involvement was associated with an estimated of 19.4 feet less (p=0.001) achieved in the 2-MWT. Upper gastrointestinal was associated with HGS test (p=0.04).

(81) N=584
Median age in years (range): 51.5 (2–79)
98% adults
M=58; F=42
- None: 1
Mild: 8 Moderate: 52 Severe: 39
- Bone marrow: 7
PBSC: 88
UC: 5
2-MWT
HGS test
HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    The 2-MWT was significantly associated with domains of the L-cGVHD-SC (overall, skin, lung, energy), SF-36 domain and summary scores, FACT summary and domain scores, and HAP scores (all p<0.001).

  • -

    The 2-MWT and HGS both had significant association with global cGVHD severity.

  • -

    Impaired performance in the 2-MWT was associated with higher odds of gastrointestinal, liver, and lung involvement.

  • -

    Two-MWT was significantly associated with overall survival, non-relapse mortality, and failure-free survival, while no association was found for HGS test.

(84) N=567**
Present:
N=164
Median age in years (range): 52 (42–58)
M=57; F=43

Absent:
N=403
Median age in years (range): 51 (42–60)
M=58; F=42
- Present:
Mild: 2
Moderate: 50
Severe: 48

Absent:
Mild: 12
Moderate: 53
Severe: 35
- Present:
Bone marrow: 6
PBSC: 89
UC: 5

Absent:
Bone marrow: 7
PBSC: 89
UC: 4
2-MWT
HGS test
ROM (NIH joint/fascia scale)
P-ROM
HAP
SF-36
FACT-G
L-cGVHD-SC
  • -

    There was a 29% incidence of joint/fascia manifestations in patients with cGVHD.

  • -

    P-ROM scale was the most sensitive to perceived joint worsening among all scales.

  • -

    The Lee muscle/joint symptom subscale was useful for capturing changes in joint-specific symptoms

  • -

    The L-cGVHD-SC was useful for capturing changes in overall symptoms.

  • -

    The FACT-G was sensitive to worsening but not to improvement, while the converse was true of the SF-36 PCS.

  • -

    Joint improvement was evident by 3 months after the onset of joint/fascia manifestations, and these patients experienced worsening in ROM within 6 months if joint/fascia manifestations developed >3 months after diagnosis of cGVHD.

(85) N=9
Median age in years (range): 47 (13–53)
M=67; F=33
- Mild: 11 Moderate: 22 Severe: 67 Classic: 67
Overlap: 33
Bone marrow: 55
PBSC: 45
2-MWT
HGS test
ROM
- Results of this study support the need of training investigators interested in participating in cGVHD clinical trials and the need for simplifying current tools to evaluate the cutaneous involvement measurements.
(86) N=283
Median age in years (range): 51 (2–79).
M=59; F=41
Incident cases: 53%. Prevalent cases: 47%
- Mild: 13
Moderate: 59
Severe: 28
Classic: 17
Overlap: 83
Bone marrow: 6
PBSC: 89
UC: 5
PFTs (and NIH symptom-based lung score) HAP
SF-36
FACT-BMT
L-cGVHD-SC
  • -

    Complete or parcial responses at 6 months after enrollment correlated with changes in symptom burden among incident cases, but not among prevalent cases.

  • -

    Response at 6 months was not associated with changes in QoL or survival outcomes in either group.

  • -

    Modifications of the current response algorithm are needed to improve correlations with clinical benefits.

(87) N=496
97% adults. 3% child.
M: 58; F: 42
- <mild: 1
Mild: 8 Moderate: 53 Severe: 38
- Bone marrow: 7
PBSC: 88
UC: 5
PFTs (and NIH symptom-based lung score) SF-36
FACT-BMT
L-cGVHD-SC (Lee lung symptom score)
  • -

    Pulmonary dysfunction was present at enrollment in 34% of patients based on PFTs and 25% based on symptoms.

  • -

    The NIH symptom-based lung score was associated with nonrelapse mortality (p=0.02), overall survival (p=0.02), patient-reported symptoms (p<0.001) and functional status (p<0.001).

  • -

    Worsening of NIH symptom-based lung score over time was associated with higher nonrelapse mortality and lower survival.

  • -

    NIH symptom-based lung score was correlated with the Lee lung symptom score, Lee summary symptom score, SF36-PCS, and FACT-BMT trial outcome index (all p<0.001).

All patients included were evaluated according to the National Institute of Health cGVHD staging form, with ≥70% of the patients in each study cohort having cGVHD and being predominantly adults.

Abbreviations: AAS, adjusted activity score;AYA, Adolescent and young adult;allo-HSCT, allogeneic hematopoietic cell transplantation; CI, confidence interval; F, female;FACT-BMT, Functional Assessment of Cancer Therapy of Bone Marrow Transplant; FACT-G,Functional Assessment of Cancer Therapy-General;FEV1, forced expiratory volume in 1 second; HAP, Human Activities Profile; HGS, hand grip strength test;HR, hazard ratio; L-cGVHD-SC, Lee cGVHD Symptom Scale;M, male; MAS, maximum activity score;MCS, mental component score; NIH, National Institutes of Health;OR, odd ratio; PBSC, peripheral blood stem cells; PCS, physical component score; PFTs, pulmonary function tests; P-ROM, Photographic-ROM;ROM, range of motion; SF-36, Short Form 36; UC, umbilical cord; 2-MWT, 2-minute walk test. Definitions: Progressive onset of chronic GVHD is that following unresolved acute GVHD, quiescent onset of cGVHD is that occurring after complete resolution of acute GVHD, and de novo onset of cGVHD is that appearing in patients who have not had previous acute GVHD.

**

Characteristics of the patients grouped by presence or absence of joint/fascia manifestations at the time of enrollment.

Functional capacity tests

The 2-minute walk test (2MWT) (80) has been used to assess a dimension of the therapeutic response in patients with cGVHD (12). In patients with cGVHD, an abnormal 2MWT result has been associated with a higher symptom burden, impaired QoL, functional disability, increased mortality (81) and NIH global severity score (53). To assess arm strength as an indicator of muscle mass and the nutritional state of the patient, the hand grip strength (HGS) test has proved useful (82). However, despite significant correlation detected between NIH global severity and HGS test scores (81), NIH do not support its use (53). To assess respiratory capacity, the NIH lung scoring system has two parts: a clinical lung symptom score based on symptoms and the lung function score (LFS) which is used when pulmonary function tests are available (9). As a useful measure of joint response, the NIH consensus group recommend active-assisted upper and lower body range of motion (ROM) (12). NIH global severity scores show significant correlation with ROM (53). However, the need for a trained clinician to conduct ROM measurements is a major limitation of this technique (12). As an objective and simply alternative, the photographic-ROM (P-ROM) scale was developed (83,84) to assess joint/fascia manifestations in patients with cGVHD. In addition, the NIH joint/fascia scale was designed to evaluate the severity of GVHD manifestations in joints and fascia for baseline or cross-sectional use (9), though this test could also be used to assess the response to a treatment intervention (84).

The reduced functional capacity of patients with cGVHD has been confirmed by measurements made in the tests 2MWT (15,53,61,70,71,81,84,85), HGS (15,53,61,71,81,85,86), forced expiratory volume (FEV1) (15,53,86,87), ROM (53,61,84,85) and P-ROM (84). Such functional decline is more marked in patients ≥60 years (70) or with overlap syndrome (as indicated by a longer 2MWT in both cases) (15). Patients with moderate-to-severe cGVHD requiring moderate-to-high levels of immunosuppression experience significant functional limitations (61), although the findings of some studies suggest no detrimental effects on QoL of immunosuppressive therapy (63,88).

Patient’s self-reports of functional capacity and physical domain of QoL

The Human Activity Profile (HAP) is a self-reported assessment tool in which activities are rated according to the energy expenditure required to perform a specific task (12,50,89). This questionnaire has proved more sensitive to changes in cGVHD status and to the presence of toxicity than other self-reported assessment methods [such as the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), and the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT)] (50). Hence, it may be of use to measure the impacts of severity of cGVHD and side effects of immunosuppression on physical functioning, and the response to cGVHD therapy in clinical trials (50). Moreover, HAP shows a high internal consistency with cGVHD severity (50). The SF-36, v.2, assesses patient-reported functional health, functioning and well-being (90). The use of a norm-based scoring system helps interpret SF-36 scores such that any score below 50 is below the US population mean, and each point represents one-tenth of a standard deviation, with this scale allowing to assess some dimensions of the response to cGVHD treatment (12,90). The FACT-BMT v4.0 questionnaire includes a 10-item Bone Marrow Transplant Subscale (BMTS) (91). No significant differences between SF-36 and FACT-BMT in discriminating cGVHD severity have been detected, particularly in the physical domains (65). However, the FACT-General core survey has been recommended over SF-36 and the FACT-BMTS subscale since the core survey substantially reduces respondent burden without compromising multi-dimensional QoL comprehension or the tool's sensitivity to change (66). The Lee cGVHD Symptom Scale (L-cGVHD-SC) evaluates several symptoms of cGVHD (79) and may be effective to monitor these dimensions of the response to cGVHD therapy (12).

Chronic GVHD-affected individuals show modified SF-36 physical component scores (PCS) (61,66) and those with severe cGVHD show a reduced SF-36 mental component score (66). In patients older than 60 years compared to those younger than this age, HAP scores are lower, though QoL (FACT-BMT) is improved over that observed in patients aged 41 to 59 years (70). Further, patients with acute/chronic GVHD overlap syndrome return worse HAP and social functioning scores (SF-36) than patients with classic cGVHD (15). NIH global severity scores have been correlated with scores obtained in L-cGVHD-SC, FACT-BMT, HAP and SF-36 PCS, with the exception of the mental component of the SF-36 score (53). Those with moderate to severe cGVHD show similar SF-36 PCS scores to those reported for patients with immune-mediated disorders, yet these scores are lower than those observed in patients with common chronic medical conditions (65).

Rationale for exercise Interventions in patients with cGVHD: what can we learn from research in other chronic conditions

Given the serious consequences of cGVHD and the secondary effects of conditioning regimens, allo-HSCT, and drug treatments, new approaches to the care of patients with cGVHD are urgently needed. There is strong scientific evidence to support the therapeutic benefits of non-pharmacological interventions such as regular physical exercise [see (8) for a review of the main therapeutic and preventive benefits of exercises and some of the molecular mechanisms involved)]. This lifestyle intervention is an effective coadjuvant treatment against several chronic diseases, especially those in which an inflammatory state is produced (e.g., cancer). Its benefits include an improved cardiorespiratory capacity, measured as peak oxygen uptake, VO2peak. The latter is one of the variables that best responds to physical exercise, and is also a strong prognostic factor of mortality attributable to chronic disease. Further benefits include improved functional and muscular capacity, diminished systemic inflammation and improved immune function, reducing some of the side-effects of cancer treatment such as fatigue (8). Despite such benefits, however, at present there is no scientific evidence of the effects of exercise in patients with cGVHD. So far, physical exercise interventions have targeted patients subjected to allo-HSCT though some programs have included patients with GVHD (92). Unfortunately, none of the studies assessing the effects of exercise on allo-HSCT recipients has analyzed separately the subset of patients suffering this condition, and in fact the authors did not even make a distinction between aGVHD and cGVHD [see (92) for a review]. Keeping these limitations in mind, among the positive exercise impacts on QoL are improved endurance/aerobic capacity, muscular strength, functional capacity, perceptions of fatigue, physical emotional and social well-being, and reductions in perceived pain scores and subdued anxiety, depression and aggressive or hostile behavior (92). Although patient cohorts and experimental designs in these studies are very heterogeneous, it seems likely that both aerobic- and resistance based exercise appears to positively impact QoL in GVHD patients.

Preclinical exercise intervention studies in cGVHD

Owing to the lack of exercise interventional research in patients, our research group decided to conduct preliminary, preclinical studies. Thus, we examined the effects of exercise in an experimental scleroderma [B10.D2 (H-2d) → BALB/C (H-2d)] mouse model of cGVHD. In a first study, we showed that the functional capacity (determined as maximal running velocity attained during a gradual treadmill test until exhaustion) of mice with cGVHD and receiving no drug treatment inevitably declined 12 weeks after allo-HSCT (with donor bone marrow cells and splenocytes), which was preceded by myeloablative irradiation. Yet compared to the control group, such decline was significantly less marked in those mice that had followed a moderate-intensity aerobic treadmill running program (5 sessions/week, Monday to Friday) that started shortly (2 days) after allo-HSCT and was prolonged until ~11 weeks post-transplant. The training program mimicked the widely accepted public health recommendations for physical activity in humans, that is, accumulating 30+ min of such type of moderate-intensity exercise (e.g., brisk walking, jogging) in most (if not all) days of the week (93). The cGVHD has catabolic effects at the muscle tissue level and also leads to homeostatic and hormonal alterations (92). Despite such disease effects, the trained mice showed higher activity of the musculoskeletal enzyme citrate synthase, a key marker of oxidative capacity and mitochondrial biogenesis. Thus, we propose that a shift towards a more ‘oxidative’ muscle phenotype could have positive repercussions on health and resistance to certain diseases (93). In fact, classic studies in rats by Koch and Britton’s group showed that improved oxidative pathways in mitochondria may be a common factor linking physical fitness and decreased disease risk (94,95). Further, exercise training did not negatively affect the kinetics of immune reconstitution in the context of severely debilitated and immunocompromised mice receiving lethal irradiation and transplantation (93). This finding suggests that the exercise would not negatively affect the graft-versus-tumor or the graft-versus-infection effect of the transplant. Further experiments using models adapted for these two situations (i.e., tumor or infectious agents) will elucidate these clinically important questions. Although the beneficial effects of moderate-intensity exercise on the immune function of healthy individuals are well documented (96), there is more controversy regarding its effects in immunocompromised people (97) and our results in mice with cGVHD are in line with previous findings showing no benefit but also no harm on immune reconstitution in patients with hematological cancer (98,99). Also noted in this first study, were reduced IL6 levels (93). Thus, our preliminary findings suggest that exercise might attenuate the severe physical decline (and thus benefit the physical domain of QoL) in debilitated and immunocompromised patients, such as those suffering cGVHD.

In a second study (100), we examined the effects of the same type of exercise training in the same cGVHD model, which received a standard immunosuppressive treatment for this disease, i.e., cyclosporine-A. Immunosuppressant drugs induce severe side effects at the multisystem level including muscle tissue deterioration (101,102), with some human studies suggesting a link between cyclosporine-A and myopathies associated with heart or liver transplant or with the treatment against Graves disease (103). In animal models, chronic administration of cyclosporine-A reduces physical capacity, and the magnitude of the decline is linked to the extent of mitochondrial alteration (104). Importantly, the results of our second study suggested beneficial effects on survival, the clinical course of cGVHD and on physical capacity in the exercise group, compared with the control group (100). Further, the exercise intervention had a favorable effect on different immune cell compartment kinetics, led to a less aggressive inflammatory profile, and offset the toxic effects of the immunosuppressive treatment (100). Specifically, the scleroderma cGVHD mouse model that we used is dependent on CD4+ cells, which activate Th2 lymphocytes secreting IL2, IL5, IL9, IL10, IL13 and TNFα. Growing levels of these cytokines are linked to the disease progression (105,106). Our exercise program led to lower levels of TNFα and IL4 after 12 weeks post-transplant compared to the control group (100). Further research is needed to determine the mechanisms explaining such exercise effects on cytokine profile. On the other hand, patients with cGVHD have reduced levels of B- and CD4+ T-helper cells (29) which, together with the altered lymphopoiesis and the drug effects, result in long-lasting immunodeficiency (107). Thus, the finding that the treatment program did not negatively affect immune reconstitution, and in fact tended to favor it, at least partly (i.e., we found higher blood levels of B220 and CD4+ cells in the exercise group at 21 days post-allo-HSCT), has potential clinical relevance (100). In this regard, Ko et al. (108) showed an improvement in the immune function of healthy mice treated with cyclosporine-A that followed an 8-week moderate-intensity treadmill training compared to those receiving the drug but not performing the training, suggesting a beneficial immunomodulatory effect of exercise that is yet to be corroborated in humans receiving the dame drug.

In a final study, physical exercise promoted the induction of myocardial autophagy in trained mice surviving 12 weeks following allo-HSCT, suggesting this could be one of the biological mechanisms mediating the beneficial effects of exercise in cGVHD in the later stages of life (109). Indeed, autophagy, a catabolic route of degradation and recycling of cellular components in all tissues, is an important cardioprotective mechanism that helps to ‘declutter’ the cell and restore its functionality, including in pathological and aging conditions, with suppression of genes involved in autophagy leading to altered cardiac function (110112). Several studies also showed improved myocardial autophagy in trained rodents (113116). In addition, our data also showed higher levels of antioxidant enzymes in the hearts of exercised mice (109). Thus, both training-enhanced autophagy and myocardial antioxidant capacity might confer heart-muscle protection against radiation toxicity. In this regard, De Lisio et al. showed that exercise training enhances mouse skeletal-muscle response of antioxidant and mitochondrial enzymes to radiation (117).

From preclinical studies to clinical trials: Suggested feasibility and potential limitations of exercise interventions in patients with cGVHD

It must be kept in mind that exercise interventions targeting to attenuate the physical decline of patients with cGVHD and the impact of such decline in their daily living and QoL are likely to face numerous limitations, especially at end-stages of the disease and/or in the more severely affected individuals. Figure 2 shows the clinical aspects of the disease that are more likely to affect the exercise capacity and adherence to the program. Notably, not only the manifestations of the disease per se but also the side effects of the treatment and prolonged bed rest can further deteriorate the patients’ physical condition and physical domain of QoL. The negative impact of the disease at multisystem level (cardiorespiratory, immune and gastrointestinal systems) can decrease the capacity of the patient to improve aerobic capacity and muscle anabolism in response to training interventions. Many patients have low walking capacity, or even low capacity for standing from a chair, which limits the range of exercises that can be applied. Nonetheless, our group has shown the feasibility, safety and benefits of individualized exercise interventions (often performed in the hospital setting) usually combining low-moderate intensity aerobic and resistance (i.e., weight lifting) exercises in other debilitated, fragile populations, including nursing home resident nonagenarians (118), hospitalized octogenarians (119) (most of whom, like the nonagenarians, had very poor walking capacity and serious difficulties in coping independently with common activities of daily living). Implementation of specific types of weight lifting training (i.e., leg press at low loads or simply standing from a chair several times a day) is feasible, safe and effective even in the ‘oldest old’ people (90+ years) (118) or in anorexic adolescents who often suffer metabolic myopathy due to protein malnutrition (120). Further, special ‘in-room’ exercise interventions (e.g., including light weightlifting while lying in bed) are effective and feasible in isolated, highly immunocompromised children during inpatient hospitalization for pediatric allo-HSCT (98). Finally, other special and simple interventions such as specific inspiratory load training to improve the function of breathing musculature with special, small size breathing devices (e.g., ‘Power breathe’) are easily applicable even in patients’ homes, as we have shown in children with cystic fibrosis (121). In the above mentioned fragile populations, besides the almost unanimous benefits in aerobic capacity or muscle strength, in some patient populations the exercise interventions also produced improvements in: (i) the individuals’ ability to cope independently with daily living (e.g., decreased risk of falls in nonagenarians (118) or improved performance in functional tests in children who had received allo/haploidentical HSCT) (122); or (ii) self-reported QoL, e.g., improved self-report of comfort and resilience in pediatric patients who had undergone HSCT (122).

On the other hand, based on our own experience, previous research on pediatric/adult hematological cancer (123), as well as on specific recommendations by leading institutions such as the American College of Sports Medicine (124) which state that adult cancer survivors should avoid inactivity as soon as possible after diagnosis and in fact adhere to the 2008 Physical Activity Guidelines for Americans (i.e., adults should undertake ≥ 150 min/week of moderate physical activity such as brisk walking); we recommend that patients with cGVHD also adhere to these guidelines as soon as possible after diagnosis of the disease. In fact, an active lifestyle should be ideally adopted upon diagnosis of the disease that resulted in allo-HSCT.

Future Directions

Our results reveal the potential therapeutic value of regular physical exercise in allo-HSCT recipients who suffer the devastating effects of cGVHD. Given the foreseeable increase in the number of patients that will receive a transplant from an unrelated donor in the years to come, the incidence of GVHD will also rise and this will be accompanied by increased healthcare costs. To further our understanding of cGVHD, research efforts need to focus on determining the optimal mode, intensity and volume of exercise that will lead to an improved clinical course and QoL of these patients. It will also be important to determine if exercise has a direct impact on the pathobiology of GVHD or if it can serve as an adjuvant for ATG (anti-thymocyte globulin) therapy or other pharmacological interventions aimed at dampening the severity and/or lowering the incidence of GVHD. Moreover, the timing of when the exercise intervention is delivered may also influence GVHD incidence and severity, be it before (‘prehabilitation’), during or after hospitalization for allo-HSCT. To guarantee the validity, reliability and reproducibility of the data emerging from future work, variables of interest need to be measured using adequate tools by interdisciplinary teams of experts who care for patients with cGVHD.

Acknowledgments

Grant Support

This work was supported, in part, by PI07/0907 and PI10/02802 to MR; PI12/0094, Instituto de Salud Carlos III (Spain) and P2015UEM49 Universidad Europea and co-funded by Fondo de Investigaciones Sanitarias and FEDER (Spain) to AL; Sara Borell PhD Contract CD14/00005, Institute de Salud Carlos III (Spain) to CF-L; USA NASA Grant NNJ1 0ZSA003N to RS; and Ellison Medical Foundation and USA NIH Grants P50 CA150964 and U54CA163060 to NB.

Footnotes

Conflict of Interest Statement

The authors have no conflict of interest to declare

Contributor Information

Carmen Fiuza-Luces, Email: braduxia@hotmail.com, Sara Borrell PhD contract (CD14/00005) from the Institute of Health Carlos III, Mitochondrial and Neuromuscular Diseases Laboratory, Hospital Universitario 12 de Octubre Research Institute (i+12), Madrid, Spain.

Richard J. Simpson, Email: rjsimpson@uh.edu, 3855 Holman St., Rm 104 Garrison Houston, TX 77204-6015, Phone: 713-743-9270.

Manuel Ramírez, Email: manuel.ramirez@salud.madrid.org, Hospital Universitario Niño Jesús, Ave. Menendez Pelayo, 65, 28009, Madrid, Spain, Pho: +34915035938.

Alejandro Lucia, Email: alejandro.lucia@uem.es, Universidad Europea and Research Institute (i+12), Madrid, Polideportivo, Laboratorio P-102, Villaviciosa de Odón, 28670, Madrid, Spain.

Nathan A. Berger, Email: nab@case.edu, Center for Science, Health and Society, Case Comprehensive Cancer Center, Case Western Reserve University, 10900 Euclid Avenue, Cleveland OH 44106-4971, Phone: 216-368-4084.

References

  • 1.Fraser CJ, Bhatia S, Ness K, Carter A, Francisco L, Arora M, et al. Impact of chronic graft-versus-host disease on the health status of hematopoietic cell transplantation survivors: A report from the Bone Marrow Transplant Survivor Study. Blood. 2006;108(8):2867–2873. doi: 10.1182/blood-2006-02-003954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ferrara JL, Levine JE, Reddy P, Holler E. Graft-versus-host disease. The Lancet. 2009:1550–1561. doi: 10.1016/S0140-6736(09)60237-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Martin PJ, Counts GW, Appelbaum FR, Lee SJ, Sanders JE, Deeg HJ, et al. Life expectancy in patients surviving more than 5 years after hematopoietic cell transplantation. J Clin Oncol. 2010;28(6):1011–1016. doi: 10.1200/JCO.2009.25.6693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wingard JR, Majhail NS, Brazauskas R, Wang Z, Sobocinski KA, Jacobsohn D, et al. Long-term survival and late deaths after allogeneic hematopoietic cell transplantation. J Clin Oncol. 2011;29(16):2230–2239. doi: 10.1200/JCO.2010.33.7212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Savani BN, Koklanaris EK, Le Q, Shenoy A, Goodman S, Barrett AJ. Prolonged Chronic Graft-versus-Host Disease is a Risk Factor for Thyroid Failure in Long-Term Survivors After Matched Sibling Donor Stem Cell Transplantation for Hematologic Malignancies. Biol Blood Marrow Transplant. 2009;15(3):377–381. doi: 10.1016/j.bbmt.2008.11.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Montero A, Savani BN, Shenoy A, Read EJ, Carter CS, Leitman SF, et al. T-cell depleted peripheral blood stem cell allotransplantation with T-cell add-back for patients with hematological malignancies: effect of chronic GVHD on outcome. Biol Blood Marrow Transplant. 2006;12(12):1318–1325. doi: 10.1016/j.bbmt.2006.08.034. [DOI] [PubMed] [Google Scholar]
  • 7.Garnett C, Apperley JF, Pavlů J. Treatment and management of graft-versus-host disease: improving response and survival. Ther Adv Hematol. 2013;4:366–378. doi: 10.1177/2040620713489842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Fiuza-Luces C, Garatachea N, Berger Na, Lucia A. Exercise is the real polypill. Physiology (Bethesda) 2013;28(5):330–358. doi: 10.1152/physiol.00019.2013. [DOI] [PubMed] [Google Scholar]
  • 9.Filipovich AH, Weisdorf D, Pavletic S, Socie G, Wingard JR, Lee SJ, et al. National Institutes of Health consensus development project on criteria for clinical trials in chronic graft-versus-host disease: I. Diagnosis and staging working group report. Biol Blood Marrow Transplant. 2005;11(12):945–956. doi: 10.1016/j.bbmt.2005.09.004. [DOI] [PubMed] [Google Scholar]
  • 10.Couriel D, Carpenter PA, Cutler C, Bolaños-Meade J, Treister NS, Gea-Banacloche J, et al. Ancillary therapy and supportive care of chronic graft-versus-host disease: national institutes of health consensus development project on criteria for clinical trials in chronic Graft-versus-host disease: V. Ancillary Therapy and Supportive Care Working. Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation. 2006:375–396. doi: 10.1016/j.bbmt.2006.02.003. [DOI] [PubMed] [Google Scholar]
  • 11.Martin PJ, Weisdorf D, Przepiorka D, Hirschfeld S, Farrell A, Rizzo JD, et al. National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: VI. Design of Clinical Trials Working Group report. Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation. 2006:491–505. doi: 10.1016/j.bbmt.2006.03.004. [DOI] [PubMed] [Google Scholar]
  • 12.Pavletic SZ, Martin P, Lee SJ, Mitchell S, Jacobsohn D, Cowen EW, et al. Measuring therapeutic response in chronic graft-versus-host disease: National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: IV. Response Criteria Working Group report. Biol Blood Marrow Transplant. 2006;12(3):252–266. doi: 10.1016/j.bbmt.2006.01.008. [DOI] [PubMed] [Google Scholar]
  • 13.Schultz KR, Miklos DB, Fowler D, Cooke K, Shizuru J, Zorn E, et al. Toward biomarkers for chronic graft-versus-host disease: National Institutes of Health consensus development project on criteria for clinical trials in chronic graft-versus-host disease: III. Biomarker Working Group Report. Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation. 2006:126–137. doi: 10.1016/j.bbmt.2005.11.010. [DOI] [PubMed] [Google Scholar]
  • 14.Shulman HM, Kleiner D, Lee SJ, Morton T, Pavletic SZ, Farmer E, et al. Histopathologic diagnosis of chronic graft-versus-host disease: National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: II. Pathology Working Group Report. Biology of blood and marrow transplantation: journal of the American Society for Blood and Marrow Transplantation. 2006:31–47. doi: 10.1016/j.bbmt.2005.10.023. [DOI] [PubMed] [Google Scholar]
  • 15.Pidala J, Vogelsang G, Martin P, Chai X, Storer B, Pavletic S, et al. Overlap subtype of chronic graft-versus-host disease is associated with an adverse prognosis, functional impairment, and inferior patient-reported outcomes: A Chronic Graft-versus-Host Disease Consortium study. Haematologica. 2012;97(3):451–458. doi: 10.3324/haematol.2011.055186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Hymes SR, Turner ML, Champlin RE, Couriel DR. Cutaneous Manifestations of Chronic Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 2006:1101–1113. doi: 10.1016/j.bbmt.2006.08.043. [DOI] [PubMed] [Google Scholar]
  • 17.Chu Y-W, Gress RE. Murine models of chronic graft-versus-host disease: insights and unresolved issues. Biol Blood Marrow Transplant. 2008;14(4):365–378. doi: 10.1016/j.bbmt.2007.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Schroeder MA, DiPersio JF. Mouse models of graft-versus-host disease: advances and limitations. Dis Model Mech. 2011;4(3):318–333. doi: 10.1242/dmm.006668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Zhang C, Todorov I, Zhang Z, Liu Y, Kandeel F, Forman S, et al. Donor CD4+ T and B cells in transplants induce chronic graft-versus-host disease with autoimmune manifestations. Blood. 2006;107(7):2993–3001. doi: 10.1182/blood-2005-09-3623. [DOI] [PubMed] [Google Scholar]
  • 20.Wu T, Young JS, Johnston H, Ni X, Deng R, Racine J, et al. Thymic damage, impaired negative selection, and development of chronic graft-versus-host disease caused by donor CD4+ and CD8+ T cells. J Immunol. 2013;191(1):488–499. doi: 10.4049/jimmunol.1300657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Srinivasan M, Flynn R, Price A, Ranger A, Browning JL, Taylor PA, et al. Donor B-cell alloantibody deposition and germinal center formation are required for the development of murine chronic GVHD and bronchiolitis obliterans. Blood. 2012;119(6):1570–1580. doi: 10.1182/blood-2011-07-364414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Sato M, Tokuda N, Fukumoto T, Mano T, Sato T, Ueyama Y. Immunohistopathological study of the oral lichenoid lesions of chronic GVHD. J Oral Pathol Med. 2006;35(1):33–36. doi: 10.1111/j.1600-0714.2005.00372.x. [DOI] [PubMed] [Google Scholar]
  • 23.Imanguli MM, Swaim WD, League SC, Gress RE, Pavletic SZ, Hakim FT. Increased T-bet + cytotoxic effectors and type i interferon-mediated processes in chronic graft-versus-host disease of the oral mucosa. Blood. 2009;113(15):3620–3630. doi: 10.1182/blood-2008-07-168351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Panoskaltsis-Mortari A, Tram K V, Price AP, Wendt CH, Blazar BR. A new murine model for bronchiolitis obliterans post-bone marrow transplant. Am J Respir Crit Care Med. 2007;176(7):713–723. doi: 10.1164/rccm.200702-335OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Briones J, Novelli S, Sierra J. T-Cell Costimulatory Molecules in Acute-Graft-Versus Host Disease: Therapeutic Implications. Bone Marrow Research. 2011:1–7. doi: 10.1155/2011/976793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Koreth J, Matsuoka K, Kim HT, McDonough SM, Bindra B, Alyea EP, et al. Interleukin-2 and Regulatory T Cells in Graft-versus-Host Disease. New England Journal of Medicine. 2011:2055–2066. doi: 10.1056/NEJMoa1108188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Brüggen MC, Klein I, Greinix H, Bauer W, Kuzmina Z, Rabitsch W, et al. Diverse T-cell responses characterize the different manifestations of cutaneous graft-versus-host disease. Blood. 2014;123(2):290–299. doi: 10.1182/blood-2013-07-514372. [DOI] [PubMed] [Google Scholar]
  • 28.Matsuoka K, Kim HT, McDonough S, Bascug G, Warshauer B, Koreth J, et al. Altered regulatory T cell homeostasis in patients with CD4+ lymphopenia following allogeneic hematopoietic stem cell transplantation. J Clin Invest. 2010;120(5):1479–1493. doi: 10.1172/JCI41072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Corre E, Carmagnat M, Busson M, de Latour RP, Robin M, Ribaud P, et al. Long-term immune deficiency after allogeneic stem cell transplantation: B-cell deficiency is associated with late infections. Haematologica. 2010;95(6):1025–1029. doi: 10.3324/haematol.2009.018853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kim SJ, Lee JW, Jung CW, Min CK, Cho B, Shin HJ, et al. Weekly rituximab followed by monthly rituximab treatment for steroid-refractory chronic graft-versus-host disease: Results from a prospective, multicenter, phase II study. Haematologica. 2010;95(11):1935–1942. doi: 10.3324/haematol.2010.026104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Kuzmina Z, Greinix HT, Weigl R, Körmöczi U, Rottal A, Frantal S, et al. Significant differences in B-cell subpopulations characterize patients with chronic graft-versus-host disease-associated dysgammaglobulinemia. Blood. 2011;117(7):2265–2274. doi: 10.1182/blood-2010-07-295766. [DOI] [PubMed] [Google Scholar]
  • 32.Kuzmina Z, Krenn K, Petkov V, Körmöczi U, Weigl R, Rottal A, et al. CD19(+)CD21(low) B cells and patients at risk for NIH-defined chronic graft-versus-host disease with bronchiolitis obliterans syndrome. Blood. 2013;121(10):1886–1895. doi: 10.1182/blood-2012-06-435008. [DOI] [PubMed] [Google Scholar]
  • 33.Sarantopoulos S, Stevenson KE, Kim HT, Cutler CS, Bhuiya NS, Schowalter M, et al. Altered B-cell homeostasis and excess BAFF in human chronic graft-versus-host disease. Blood. 2009;113(16):3865–3874. doi: 10.1182/blood-2008-09-177840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Clark WB, Brown-Gentry KD, Crawford DC, Fan KH, Snavely J, Chen H, et al. Genetic variation in recipient B-cell activating factor modulates phenotype of GVHD. Blood. 2011;118(4):1140–1144. doi: 10.1182/blood-2010-09-310011. [DOI] [PubMed] [Google Scholar]
  • 35.Fujii H, Cuvelier G, She K, Aslanian S, Shimizu H, Kariminia A, et al. Biomarkers in newly diagnosed pediatric-extensive chronic graft-versus-host disease: A report from the Children’s Oncology Group. Blood. 2008;111(6):3276–3285. doi: 10.1182/blood-2007-08-106286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sarantopoulos S, Stevenson KE, Kim HT, Bhuiya NS, Cutler CS, Soiffer RJ, et al. High levels of B-cell activating factor in patients with active chronic graft-versus-host disease. Clin Cancer Res. 2007;13(20):6107–6114. doi: 10.1158/1078-0432.CCR-07-1290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sarantopoulos S, Stevenson KE, Kim HT, Washel WS, Bhuiya NS, Cutler CS, et al. Recovery of B-cell homeostasis after rituximab in chronic graft-versus-host disease. Blood. 2011;117(7):2275–2283. doi: 10.1182/blood-2010-10-307819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.She K, Gilman AL, Aslanian S, Shimizu H, Krailo M, Chen Z, et al. Altered Toll-Like Receptor 9 Responses in Circulating B Cells at the Onset of Extensive Chronic Graft-versus-Host Disease. Biol Blood Marrow Transplant. 2007;13(4):386–397. doi: 10.1016/j.bbmt.2006.12.441. [DOI] [PubMed] [Google Scholar]
  • 39.Flynn R, Du J, Veenstra RG, Reichenbach DK, Panoskaltsis-Mortari A, Taylor PA, et al. Increased T follicular helper cells and germinal center B cells are required for cGVHD and bronchiolitis obliterans. Blood. 2014;123(25):3988–3998. doi: 10.1182/blood-2014-03-562231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Patriarca F, Skert C, Sperotto A, Zaja F, Falleti E, Mestroni R, et al. The development of autoantibodies after allogeneic stem cell transplantation is related with chronic graft-vs-host disease and immune recovery. Exp Hematol. 2006;34(3):389–396. doi: 10.1016/j.exphem.2005.12.011. [DOI] [PubMed] [Google Scholar]
  • 41.Svegliati S, Olivieri A, Campelli N, Luchetti M, Poloni A, Trappolini S, et al. Stimulatory autoantibodies to PDGF receptor in patients with extensive chronic graft-versus-host disease. Blood. 2007;110(1):237–241. doi: 10.1182/blood-2007-01-071043. [DOI] [PubMed] [Google Scholar]
  • 42.Clave E, Busson M, Douay C, De Latour RP, Berrou J, Rabian C, et al. Acute graft-versus-host disease transiently impairs thymic output in young patients after allogeneic hematopoietic stem cell transplantation. Blood. 2009;113(25):6477–6484. doi: 10.1182/blood-2008-09-176594. [DOI] [PubMed] [Google Scholar]
  • 43.Hillebrandt S, Wasmuth HE, Weiskirchen R, Hellerbrand C, Keppeler H, Werth A, et al. Complement factor 5 is a quantitative trait gene that modifies liver fibrogenesis in mice and humans. Nat Genet. 2005;37(8):835–843. doi: 10.1038/ng1599. [DOI] [PubMed] [Google Scholar]
  • 44.Zhou L, Askew D, Wu C, Gilliam AC. Cutaneous gene expression by DNA microarray in murine sclerodermatous graft-versus-host disease, a model for human scleroderma. J Invest Dermatol. 2007;127(2):281–292. doi: 10.1038/sj.jid.5700517. [DOI] [PubMed] [Google Scholar]
  • 45.Joseph RW, Couriel DR, Komanduri KV. Chronic graft-versus-host disease after allogeneic stem cell transplantation: challenges in prevention, science, and supportive care. J Support Oncol. 6(8):361–372. [PubMed] [Google Scholar]
  • 46.Banovic T, MacDonald KPA, Morris ES, Rowe V, Kuns R, Don A, et al. TGF-beta in allogeneic stem cell transplantation: friend or foe? Blood. 2005;106(6):2206–2214. doi: 10.1182/blood-2005-01-0062. [DOI] [PubMed] [Google Scholar]
  • 47.Nishimori H, Maeda Y, Teshima T, Sugiyama H, Kobayashi K, Yamasuji Y, et al. Synthetic retinoid Am80 ameliorates chronic graft-versus-host disease by down-regulating Th1 and Th17. Blood. 2012;119(1):285–295. doi: 10.1182/blood-2011-01-332478. [DOI] [PubMed] [Google Scholar]
  • 48.Mays JW, Fassil H, Edwards DA, Pavletic SZ, Bassim CW. Oral chronic graft-versus-host disease: Current pathogenesis, therapy, and research. Oral Diseases. 2013:327–346. doi: 10.1111/odi.12028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Buchanan DR, O’Mara AM, Kelaghan JW, Sgambati M, McCaskill-Stevens W, Minasian L. Challenges and recommendations for advancing the state-of-the-science of quality of life assessment in symptom management trials. Cancer. 2007:1621–1628. doi: 10.1002/cncr.22893. [DOI] [PubMed] [Google Scholar]
  • 50.Herzberg PY, Heussner P, Mumm FHA, Horak M, Hilgendorf I, von Harsdorf S, et al. Validation of the human activity profile questionnaire in patients after allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2010;16(12):1707–1717. doi: 10.1016/j.bbmt.2010.05.018. [DOI] [PubMed] [Google Scholar]
  • 51.Pidala J, Anasetti C, Jim H. Quality of life after allogeneic hematopoietic cell transplantation. Blood. 2009:7–19. doi: 10.1182/blood-2008-10-182592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Arai S, Jagasia M, Storer B, Chai X, Pidala J, Cutler C, et al. Global and organ-specific chronic graft-versus-host disease severity according to the 2005 NIH consensus criteria. Blood. 2011;118(15):4242–4249. doi: 10.1182/blood-2011-03-344390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Baird K, Steinberg SM, Grkovic L, Pulanic D, Cowen EW, Mitchell SA, et al. National Institutes of Health Chronic Graft-versus-Host Disease Staging in Severely Affected Patients: Organ and Global Scoring Correlate with Established Indicators of Disease Severity and Prognosis. Biol Blood Marrow Transplant. 2013;19(4):632–639. doi: 10.1016/j.bbmt.2013.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bhatia S, Francisco L, Carter A, Sun CL, Scott Baker K, Gurney JG, et al. Late mortality after allogeneic hematopoietic cell transplantation and functional status of long-term survivors: Report from the Bone Marrow Transplant Survivor study. Blood. 2007;110(10):3784–3792. doi: 10.1182/blood-2007-03-082933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Heinonen H, Volin L, Zevon MA, Uutela A, Barrick C, Ruutu T. Stress among allogeneic bone marrow transplantation patients. Patient Educ Couns. 2005;56(1):62–71. doi: 10.1016/j.pec.2003.12.007. [DOI] [PubMed] [Google Scholar]
  • 56.Kopp M, Holzner B, Meraner V, Sperner-Unterweger B, Kemmler G, Nguyen-Van-Tam DP, et al. Quality of life in adult hematopoietic cell transplant patients at least 5 yr after treatment: A comparison with healthy controls. Eur J Haematol. 2005;74(4):304–308. doi: 10.1111/j.1600-0609.2004.00402.x. [DOI] [PubMed] [Google Scholar]
  • 57.La Nasa G, Caocci G, Efficace F, Dessì C, Vacca A, Piras E, et al. Long-term health-related quality of life evaluated more than 20 years after hematopoietic stem cell transplantation for thalassemia. Blood. 2013;122(13):2262–2270. doi: 10.1182/blood-2013-05-502658. [DOI] [PubMed] [Google Scholar]
  • 58.Lee SJ, Flowers MED. Recognizing and managing chronic graft-versus-host disease. Hematology Am Soc Hematol Educ Program. 2008:134–141. doi: 10.1182/asheducation-2008.1.134. [DOI] [PubMed] [Google Scholar]
  • 59.Lee SJ, Kim HT, Ho VT, Cutler C, Alyea EP, Soiffer RJ, et al. Quality of life associated with acute and chronic graft-versus-host disease. Bone Marrow Transplant. 2006;38(4):305–310. doi: 10.1038/sj.bmt.1705434. [DOI] [PubMed] [Google Scholar]
  • 60.Messerer D, Engel J, Hasford J, Schaich M, Ehninger G, Sauerland C, et al. Impact of different post-remission strategies on quality of life in patients with acute myeloid leukemia. Haematologica. 2008;93(6):826–833. doi: 10.3324/haematol.11987. [DOI] [PubMed] [Google Scholar]
  • 61.Mitchell SA, Leidy NK, Mooney KH, Dudley WN, Beck SL, LaStayo PC, et al. Determinants of functional performance in long-term survivors of allogeneic hematopoietic stem cell transplantation with chronic graft-versus-host disease (cGVHD) Bone Marrow Transplant. 2010;45(4):762–769. doi: 10.1038/bmt.2009.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Mo X-D, Xu L-P, Liu D-H, Chen Y-H, Han W, Zhang X-H, et al. Patients receiving HLA-haploidentical/partially matched related allo-HSCT can achieve desirable health-related QoL that is comparable to that of patients receiving HLA-identical sibling allo-HSCT. Bone Marrow Transplantation. 2012:1201–1205. doi: 10.1038/bmt.2011.250. [DOI] [PubMed] [Google Scholar]
  • 63.Mo X, Xu L, Liu D, Chen Y, Zhang X, Chen H, et al. Health related quality of life among patients with chronic graft-versus-host disease in China. Chin Med J (Engl) 2013;126(16):3048–3052. [PubMed] [Google Scholar]
  • 64.Pidala J, Kim J, Anasetti C, Nishihori T, Betts B, Field T, et al. The global severity of chronic graft-versus-host disease, determined by national institutes of health consensus criteria, is associated with overall survival and non-relapse mortality. Haematologica. 2011;96(11):1678–1684. doi: 10.3324/haematol.2011.049841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Pidala J, Kurland B, Chai X, Majhail N, Weisdorf DJ, Pavletic S, et al. Patient-reported quality of life is associated with severity of chronic graft-versus-host disease as measured by NIH criteria: Report on baseline data from the Chronic GVHD Consortium. Blood. 2011;117(17):4651–4657. doi: 10.1182/blood-2010-11-319509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Pidala J, Kurland BF, Chai X, Vogelsang G, Weisdorf DJ, Pavletic S, et al. Sensitivity of changes in chronic graft-versus-host disease activity to changes in patient-reported quality of life: Results from the chronic graft-versus-host disease consortium. Haematologica. 2011;96(10):1528–1535. doi: 10.3324/haematol.2011.046367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Stewart BL, Storer B, Storek J, Deeg HJ, Storb R, Hansen JA, et al. Duration of immunosuppressive treatment for chronic graft-versus-host disease. Blood. 2004;104(12):3501–3506. doi: 10.1182/blood-2004-01-0200. [DOI] [PubMed] [Google Scholar]
  • 68.Wong FL, Francisco L, Togawa K, Bosworth A, Gonzales M, Hanby C, et al. Long-term recovery after hematopoietic cell transplantation: Predictors of quality-of-life concerns. Blood. 2010;115(12):2508–2519. doi: 10.1182/blood-2009-06-225631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Le RQ, Bevans M, Savani BN, Mitchell SA, Stringaris K, Koklanaris E, et al. Favorable outcomes in patients surviving 5 or more years after allogeneic hematopoietic stem cell transplantation for hematologic malignancies. Biol Blood Marrow Transplant. 2010;16(8):1162–1170. doi: 10.1016/j.bbmt.2010.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.El-Jawahri A, Pidala J, Inamoto Y, Chai X, Khera N, Wood Wa, et al. Impact of Age on Quality of Life, Functional Status, and Survival in Patients with Chronic Graft-versus-Host Disease. Biol Blood Marrow Transplant. 2014;20(9):1341–1348. doi: 10.1016/j.bbmt.2014.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Pidala J, Chai X, Kurland BF, Inamoto Y, Flowers MED, Palmer J, et al. Analysis of gastrointestinal and hepatic chronic grant-versus-host disease manifestations on major outcomes: A chronic grant-versus-host disease consortium study. Biol Blood Marrow Transplant. 2013;19(5):784–791. doi: 10.1016/j.bbmt.2013.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Carlson LE, Smith D, Russell J, Fibich C, Whittaker T. Individualized exercise program for the treatment of severe fatigue in patients after allogeneic hematopoietic stem-cell transplant: a pilot study. Bone marrow transplantation. 2006 doi: 10.1038/sj.bmt.1705343. [DOI] [PubMed] [Google Scholar]
  • 73.DeFor TE, Burns LJ, Gold EMA, Weisdorf DJ. A Randomized Trial of the Effect of a Walking Regimen on the Functional Status of 100 Adult Allogeneic Donor Hematopoietic Cell Transplant Patients. Biol Blood Marrow Transplant. 2007;13(8):948–955. doi: 10.1016/j.bbmt.2007.04.008. [DOI] [PubMed] [Google Scholar]
  • 74.Dimeo F, Schwartz S, Wesel N, Voigt A, Thiel E. Effects of an endurance and resistance exercise program on persistent cancer-related fatigue after treatment. Ann Oncol. 2008;19(8):1495–1499. doi: 10.1093/annonc/mdn068. [DOI] [PubMed] [Google Scholar]
  • 75.Khera N, Storer B, Flowers MED, Carpenter PA, Inamoto Y, Sandmaier BM, et al. Nonmalignant late effects and compromised functional status in survivors of hematopoietic cell transplantation. J Clin Oncol. 2012;30(1):71–77. doi: 10.1200/JCO.2011.38.4594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Syrjala KL, Langer SL, Abrams JR, Storer BE, Martin PJ. Late effects of hematopoietic cell transplantation among 10-year adult survivors compared with case-matched controls. J Clin Oncol. 2005;23(27):6596–6606. doi: 10.1200/JCO.2005.12.674. [DOI] [PubMed] [Google Scholar]
  • 77.Kovalszki A, Schumaker GL, Klein A, Terrin N, White AC. Reduced respiratory and skeletal muscle strength in survivors of sibling or unrelated donor hematopoietic stem cell transplantation. Bone Marrow Transplant. 2008;41(11):965–969. doi: 10.1038/bmt.2008.15. [DOI] [PubMed] [Google Scholar]
  • 78.Acquadro C, Berzon R, Dubois D, Leidy NK, Marquis P, Revicki D, et al. Incorporating the patient’s perspective into drug development and communication: An ad hoc task force report of the patient-reported outcomes (PRO) Harmonization Group meeting at the food and drug administration, February 16, 2001. Value in Health. 2003:522–531. doi: 10.1046/j.1524-4733.2003.65309.x. [DOI] [PubMed] [Google Scholar]
  • 79.Lee Sk, Cook EF, Soiffer R, Antin JH. Development and validation of a scale to measure symptoms of chronic graft-versus-host disease. Biol Blood Marrow Transplant. 2002;8(8):444–452. doi: 10.1053/bbmt.2002.v8.pm12234170. [DOI] [PubMed] [Google Scholar]
  • 80.Waters RL, Lunsford BR, Perry J, Byrd R. Energy-speed relationship of walking: standard tables. J Orthop Res. 1988;6(2):215–222. doi: 10.1002/jor.1100060208. [DOI] [PubMed] [Google Scholar]
  • 81.Pidala J, Chai X, Martin P, Inamoto Y, Cutler C, Palmer J, et al. Hand grip strength and 2-minute walk test in chronic graft-versus-host disease assessment: Analysis from the chronic GVHD consortium. Biol Blood Marrow Transplant. 2013;19(6):967–972. doi: 10.1016/j.bbmt.2013.03.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Mathiowetz V, Weber K, Volland G, Kashman N. Reliability and validity of grip and pinch strength evaluations. J Hand Surg Am. 1984;9(2):222–226. doi: 10.1016/s0363-5023(84)80146-x. [DOI] [PubMed] [Google Scholar]
  • 83.Carpenter PA. How I conduct a comprehensive chronic graft-versus-host disease assessment. Blood. 2011;118(10):2679–2687. doi: 10.1182/blood-2011-04-314815. [DOI] [PubMed] [Google Scholar]
  • 84.Inamoto Y, Pidala J, Chai X, Kurland BF, Weisdorf D, Flowers MED, et al. Assessment of joint and fascia manifestations in chronic graft-versus-host disease. Arthritis Rheumatol. 2014;66(4):1044–1052. doi: 10.1002/art.38293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Tavares R de CB da S, Silva M de M, Bouzas LF da S, Rodrigues MC, Vigorito AC, Funke V, et al. Brazilian workshop model to train investigators in chronic graft-versus-host disease clinical trials according to the 2005–2006 National Institutes of Health recommendations. Revista Brasileira de Hematologia e Hemoterapia. 2011:347–352. doi: 10.5581/1516-8484.20110099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Inamoto Y, Chai X, Kurland BF, Cutler C, Flowers MED, Palmer JM, et al. Validation of measurement scales in ocular graft-versus-host disease. Ophthalmology. 2012;119(3):487–493. doi: 10.1016/j.ophtha.2011.08.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Palmer J, Williams K, Inamoto Y, Chai X, Martin PJ, Tomas LS, et al. Pulmonary symptoms measured by the national institutes of health lung score predict overall survival, nonrelapse mortality, and patient-reported outcomes in chronic graft-versus-host disease. Biol Blood Marrow Transplant. 2014;20(3):337–344. doi: 10.1016/j.bbmt.2013.11.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Chiodi S, Spinelli S, Ravera G, Petti AR, Van Lint MT, Lamparelli T, et al. Quality of life in 244 recipients of allogeneic bone marrow transplantation. Br J Haematol. 2000;110(3):614–619. doi: 10.1046/j.1365-2141.2000.02053.x. [DOI] [PubMed] [Google Scholar]
  • 89.Johansen KL, Painter P, Kent-Braun JA, Ng AV, Carey S, Da Silva M, et al. Validation of questionnaires to estimate physical activity and functioning in end-stage renal disease. Kidney Int. 2001;59(3):1121–1127. doi: 10.1046/j.1523-1755.2001.0590031121.x. [DOI] [PubMed] [Google Scholar]
  • 90.McHorney CA, Ware JE, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care. 1993;31(3):247–263. doi: 10.1097/00005650-199303000-00006. [DOI] [PubMed] [Google Scholar]
  • 91.McQuellon RP, Russell GB, Cella DF, Craven BL, Brady M, Bonomi A, et al. Quality of life measurement in bone marrow transplantation: development of the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) scale. Bone Marrow Transplant. 1997;19(4):357–368. doi: 10.1038/sj.bmt.1700672. [DOI] [PubMed] [Google Scholar]
  • 92.Fiuza-Luces C, Garatachea N, Simpson RJ, Berger NA, Ramírez M, Lucia A. Understanding graft-versus-host disease. Preliminary findings regarding the effects of exercise in affected patients. 2015 In press. [PubMed] [Google Scholar]
  • 93.Fiuza-Luces C, Gonzalez-Murillo A, Soares-Miranda L, Martinez Palacio J, Colmenero I, Casco F, et al. Effects of exercise interventions in graft-versus-host disease models. Cell Transpl. 2013;22(12):2409–2420. doi: 10.3727/096368912X658746. [DOI] [PubMed] [Google Scholar]
  • 94.Koch LG, Britton SL. Aerobic metabolism underlies complexity and capacity. J Physiol. 2008;586(1):83–95. doi: 10.1113/jphysiol.2007.144709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Wisløff U, Najjar SM, Ellingsen O, Haram PM, Swoap S, Al-Share Q, et al. Cardiovascular risk factors emerge after artificial selection for low aerobic capacity. Science. 2005;307(5708):418–420. doi: 10.1126/science.1108177. [DOI] [PubMed] [Google Scholar]
  • 96.Walsh NP, Gleeson M, Shephard RJ, Gleeson M, Woods JA, Bishop NC, et al. Position statement part one: Immune function and exercise. Exercise Immunology Review. 2011:6–63. [PubMed] [Google Scholar]
  • 97.Kim SD, Kim HS. A series of bed exercises to improve lymphocyte count in allogeneic bone marrow transplantation patients. Eur J Cancer Care (Engl) 2006;15(5):453–457. doi: 10.1111/j.1365-2354.2006.00668.x. [DOI] [PubMed] [Google Scholar]
  • 98.Chamorro-Vina C, Ruiz JR, Santana-Sosa E, González Vicent M, Madero L, Pérez M, et al. Exercise during hematopoietic stem cell transplant hospitalization in children. Med Sci Sports Exerc. 2010;42(6):1045–1053. doi: 10.1249/MSS.0b013e3181c4dac1. [DOI] [PubMed] [Google Scholar]
  • 99.Ladha AB, Courneya KS, Bell GJ, Field CJ, Grundy P. Effects of acute exercise on neutrophils in pediatric acute lymphoblastic leukemia survivors: a pilot study. J Pediatr Hematol Off J Am Soc Pediatr Hematol. 2006;28(10):671–677. doi: 10.1097/01.mph.0000243644.20993.54. [DOI] [PubMed] [Google Scholar]
  • 100.Fiuza-Luces C, Soares-Miranda L, González-Murillo A, Palacio JM, Colmenero I, Casco F, et al. Exercise benefits in chronic graft versus host disease: a murine model study. Med Sci Sports Exerc. 2013;45(9):1703–1711. doi: 10.1249/MSS.0b013e31828fa004. [DOI] [PubMed] [Google Scholar]
  • 101.Kavanagh T, Yacoub MH, Mertens DJ, Kennedy J, Campbell RB, Sawyer P. Cardiorespiratory responses to exercise training after orthotopic cardiac transplantation. Circulation. 1988;77(1):162–171. doi: 10.1161/01.cir.77.1.162. [DOI] [PubMed] [Google Scholar]
  • 102.Mettauer B, Lampert E, Petitjean P, Bogui P, Epailly E, Schnedecker B, et al. Persistent exercise intolerance following cardiac transplantation despite normal oxygen transport. Int J Sports Med. 1996;17(4):277–286. doi: 10.1055/s-2007-972847. [DOI] [PubMed] [Google Scholar]
  • 103.Bennett WM, Norman DJ. Action and toxicity of cyclosporine. Annu Rev Med. 1986;37:215–224. doi: 10.1146/annurev.me.37.020186.001243. [DOI] [PubMed] [Google Scholar]
  • 104.Mercier JG, Hokanson JF, Brooks GA. Effects of cyclosporine A on skeletal muscle mitochondrial respiration and endurance time in rats. Am J Respir Crit Care Med. 1995;151(5):1532–1536. doi: 10.1164/ajrccm.151.5.7735611. [DOI] [PubMed] [Google Scholar]
  • 105.Allen RD, Staley TA, Sidman CL. Differential cytokine expression in acute and chronic murine graft-versus-host-disease. Eur J Immunol. 1993;23(2):333–337. doi: 10.1002/eji.1830230205. [DOI] [PubMed] [Google Scholar]
  • 106.De Wit D, Van Mechelen M, Zanin C, Doutrelepont JM, Velu T, Gérard C, et al. Preferential activation of Th2 cells in chronic graft-versus-host reaction. J Immunol. 1993;150(2):361–366. [PubMed] [Google Scholar]
  • 107.Fry TJ, Mackall CL. The many faces of IL-7: from lymphopoiesis to peripheral T cell maintenance. J Immunol. 2005;174(11):6571–6576. doi: 10.4049/jimmunol.174.11.6571. [DOI] [PubMed] [Google Scholar]
  • 108.Ko M-H, Chang C-K, Wu C-L, Hou Y-C, Hong W, Fang S-H. The interactive effect of exercise and immunosuppressant cyclosporin A on immune function in mice. J Sports Sci. 2010;28(9):967–973. doi: 10.1080/02640414.2010.481306. [DOI] [PubMed] [Google Scholar]
  • 109.Fiuza-Luces C, Delmiro A, Soares-Miranda L, González-Murillo Á, Martínez-Palacios J, Ramírez M, et al. Exercise training can induce cardiac autophagy at end-stage chronic conditions: Insights from a graft-versus-host-disease mouse model. Brain Behav Immun. 2014;39:56–60. doi: 10.1016/j.bbi.2013.11.007. [DOI] [PubMed] [Google Scholar]
  • 110.Nakai A, Yamaguchi O, Takeda T, Higuchi Y, Hikoso S, Taniike M, et al. The role of autophagy in cardiomyocytes in the basal state and in response to hemodynamic stress. Nat Med. 2007;13(5):619–624. doi: 10.1038/nm1574. [DOI] [PubMed] [Google Scholar]
  • 111.Taneike M, Yamaguchi O, Nakai A, Hikoso S, Takeda T, Mizote I, et al. Inhibition of autophagy in the heart induces age-related cardiomyopathy. Autophagy. 2010;6(5):600–606. doi: 10.4161/auto.6.5.11947. [DOI] [PubMed] [Google Scholar]
  • 112.Van Bilsen M, Smeets PJH, Gilde AJ, Van Der Vusse GJ. Metabolic remodelling of the failing heart: The cardiac burn-out syndrome? Cardiovascular Research. 2004:218–226. doi: 10.1016/j.cardiores.2003.11.014. [DOI] [PubMed] [Google Scholar]
  • 113.He C, Bassik MC, Moresi V, Sun K, Wei Y, Zou Z, et al. Exercise-induced BCL2-regulated autophagy is required for muscle glucose homeostasis. Nature. 2012:511–515. doi: 10.1038/nature10758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Chen CY, Hsu HC, Lee BC, Lin HJ, Chen YH, Huang HC, et al. Exercise training improves cardiac function in infarcted rabbits: Involvement of autophagic function and fatty acid utilization. Eur J Heart Fail. 2010;12(4):323–330. doi: 10.1093/eurjhf/hfq028. [DOI] [PubMed] [Google Scholar]
  • 115.Cui M, Yu H, Wang J, Gao J, Li J. Chronic caloric restriction and exercise improve metabolic conditions of dietary-induced obese mice in autophagy correlated manner without involving ampk. J Diabetes Res. 2013 doi: 10.1155/2013/852754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Willis MS, Min JN, Wang S, Mcdonough H, Lockyer P, Wadosky KM, et al. Carboxyl terminus of Hsp70-interacting protein (CHIP) is required to modulate cardiac hypertrophy and attenuate autophagy during exercise. Cell Biochem Funct. 2013;31(8):724–735. doi: 10.1002/cbf.2962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.De Lisio M, Kaczor JJ, Phan N, Tarnopolsky MA, Boreham DR, Parise G. Exercise training enhances the skeletal muscle response to radiation-induced oxidative stress. Muscle and Nerve. 2011;43(1):58–64. doi: 10.1002/mus.21797. [DOI] [PubMed] [Google Scholar]
  • 118.Serra-Rexach JA, Bustamante-Ara N, Hierro Villarán M, González Gil P, Sanz Ibáñez MJ, Blanco Sanz N, et al. Short-term, light- to moderate-intensity exercise training improves leg muscle strength in the oldest old: A randomized controlled trial. J Am Geriatr Soc. 2011;59(4):594–602. doi: 10.1111/j.1532-5415.2011.03356.x. [DOI] [PubMed] [Google Scholar]
  • 119.Fleck SJ, Bustamante-Ara N, Ortiz J, Vidán M-T, Lucia A, Serra-Rexach JA. Activity in GEriatric acute CARe (AGECAR): rationale, design and methods. BMC Geriatrics. 2012:28. doi: 10.1186/1471-2318-12-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Del Valle MF, Pérez M, Santana-Sosa E, Fiuza-Luces C, Bustamante-Ara N, Gallardo C, et al. Does resistance training improve the functional capacity and well being of very young anorexic patients? A randomized controlled trial. J Adolesc Health. 2010;46(4):352–358. doi: 10.1016/j.jadohealth.2009.09.001. [DOI] [PubMed] [Google Scholar]
  • 121.Santana-Sosa E, Gonzalez-Saiz L, Groeneveld IF, Villa-Asensi JR, Barrio Gómez de Aguero MI, Fleck SJ, et al. Benefits of combining inspiratory muscle with"whole muscle” training in children with cystic fibrosis: a randomised controlled trial. Br J Sports Med. 2013 doi: 10.1136/bjsports-2012-091892. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23681502. [DOI] [PubMed]
  • 122.San Juan AF, Chamorro-Vina C, Moral S, Fernandez Del Valle M, Madero L, Ramírez M, et al. Benefits of intrahospital exercise training after pediatric bone marrow transplantation. Int J Sports Med. 2008;29(5):439–446. doi: 10.1055/s-2007-965571. [DOI] [PubMed] [Google Scholar]
  • 123.Wolin KY, Ruiz JR, Tuchman H, Lucia A. Exercise in adult and pediatric hematological cancer survivors: an intervention review. Leuk Off J Leuk Soc Am Leuk Res Fund UK. 2010;24(6):1113–1120. doi: 10.1038/leu.2010.54. [DOI] [PubMed] [Google Scholar]
  • 124.Schmitz KH, Courneya KS, Matthews C, Demark-Wahnefried W, Galvão DA, Pinto BM, et al. American college of sports medicine roundtable on exercise guidelines for cancer survivors. Medicine and Science in Sports and Exercise. 2010:1409–1426. doi: 10.1249/MSS.0b013e3181e0c112. [DOI] [PubMed] [Google Scholar]
  • 125.Beissner KL, Collins JE, Holmes H. Muscle force and range of motion as predictors of function in older adults. Phys Ther. 2000;80(6):556–563. [PubMed] [Google Scholar]
  • 126.Ware JE, Jr, Dewey J. How to score version 2 of the SF-36 Health Survey. Lincoln, RI: Quality Metric Incorporated; 2000. [Google Scholar]

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