Literature DB >> 24675916

Lung function and six-minute walk test performance in individuals with sickle cell disease.

Daniela G Ohara1, Gualberto Ruas2, Isabel A P Walsh2, Shamyr S Castro2, Mauricio Jamami3.   

Abstract

BACKGROUND: Sickle Cell Disease (SCD), which is characterized by a mutation in the gene encoding beta hemoglobin, causes bodily dysfunctions such as impaired pulmonary function and reduced functional capacity.
OBJECTIVE: To assess changes in pulmonary function and functional capacity in patients with SCD and to identify the relationships between these variables.
METHOD: We evaluated sociodemographic, anthropometric, lung function (spirometry), respiratory (manovacuometer), peripheral muscle strength (Handgrip strength - HS) and functional capacity (i.e., the six-minute walk test) parameters in 21 individuals with SCD (average age of 29±6 years). Shapiro-Wilk, paired Student's, Wilcoxon, Pearson and Spearman correlation tests were used for statistical analyses, and the significance threshold was set at p<0.05.
RESULTS: A total of 47.6% of the study subjects exhibited an altered ventilation pattern, 42.8% had a restrictive ventilatory pattern (RVP) and 4.8% exhibited a mixed ventilatory pattern (MVP). The observed maximal inspiratory pressure (MIP) values were below the predicted values for women (64 cmH2O), and the maximum expiratory pressure (MEP) values, HS values and distance walked during the 6MWT were below the predicted values for both men (103 cmH2O, 39 Kgf and 447 m, respectively) and women (64 cmH2O; 27 Kgf; 405 m, respectively). Positive correlations were observed between maximum voluntary ventilation (MVV) and MEP (r=0.4; p=0.046); MVV and BMI (r=0.6; p=0.003); and between HS and MIP (r=0.7; p=0.001), MEP (r=0.6; p=0.002), MVV (r=0.5; p=0.015), distance walked in the 6MWT (r=0.4; p=0.038) and BMI (r=0.6; p=0.004).
CONCLUSIONS: SCD promoted changes in lung function and functional capacity, including RVPs and a reduction in the distance walked in the 6MWT when compared to the predictions. In addition, significant correlations between the variables were observed.

Entities:  

Mesh:

Year:  2014        PMID: 24675916      PMCID: PMC4183242          DOI: 10.1590/s1413-35552012005000139

Source DB:  PubMed          Journal:  Braz J Phys Ther        ISSN: 1413-3555            Impact factor:   3.377


Introduction

Sickle cell disease (SCD) is a group of hereditary hemolytic anemias that are found frequently throughout the world, including in Brazil[1]. SCD is characterized by a mutation in the gene encoding the beta chain of hemoglobin, which results in a change from the normal hemoglobin conformation (HbA) to the hemoglobin S conformation (HbS). This conformational change can lead to several hemoglobinopathies, including sickle cell anemia (HbSS), HbSC and S-thalassemia, as well as several others with lower incidence[2,3]. Deoxygenated hemoglobin undergoes a polymerization process that induces red blood cells to acquire a sickle-like shape, which results in cell damage and causes systemic organ dysfunction[2,4-6]. The respiratory system is one of the most affected systems in SCD, and 20 to 30% of deaths in adults with SCD are due to pulmonary manifestations, which typically occur around the age of 20 and lead to death at approximately 40 years of age[3]. Airway obstructions and repeated pulmonary infections are among the primary causes of pulmonary involvement, and they result in obstructive or restrictive respiratory disorders, which can result in pulmonary hypertension[1,3]. Moreover, this population often presents with acute chest syndrome, which is characterized by chest pain, prostration, cough, dyspnea and hypoxia[2]. In addition, the systemic impairments caused by SCD can lead to a more sedentary lifestyle, which can in turn result in an overall loss of muscle strength and a consequent reduction in functional capacity. Ivo and Carvalho[7] reported that patients with sickle cell anemia presented dyspnea while walking, climbing stairs or ramps, performing heavy duty physical activities or ambulating quickly, which indicates a loss of functional capacity in this population. Prior studies have assessed lung function[8-11] and functional capacity[12-14] in adults with SCD. However, we are unaware of any studies in the published literature that concomitantly assess pulmonary function, functional capacity and muscle strength to identify potential relationships between these variables and to examine possible damage caused by SCD. Given the information outlined above and considering that individuals with SCD may lose pulmonary function and functional capacity and that these variables are correlated with each other, the present study aimed to evaluate pulmonary function and functional capacity in patients with SCD. This study also aimed to identify the correlations between these variables.

Method

Study type

This study was conducted as a descriptive cross-sectional exploratory study utilizing quantitative methodology.

Sample

The convenience sample was obtained by selecting individuals (both males and females, all of whom were at least 18 years of age) from records accessed at the Regional Blood Center (RBC) of Uberaba in the state of MG, Brazil and the Regional Association of Sickle Cell Disease Patients of Uberaba (Associação Regional dos Falcêmicos de Uberaba - ARFA), Uberaba, state of MG, Brazil.

Inclusion and exclusion criteria

Individuals over the age of 18 who had received a diagnosis of SCD and who exhibited clinical and hemodynamic stability and the absence of vaso-occlusive crisis for at least one month were included in the study. All study subjects agreed to participate and signed an informed consent form prior to being included in the study. Individuals with lung disease, heart disease, diabetes or musculoskeletal and orthopedic disorders were excluded from the study. In addition, patients with neurological damage that prevented them from performing the proposed tests and those who did not agree to participate or did not sign the informed consent form were also excluded from the study.

Data collection procedures

Upon agreeing to participate in the study, all individuals signed an informed consent form. Data were collected through individual interviews and physical assessments, which were held on different days and divided into two stages. The first stage collected data related to the participants' sociodemographic characteristics, functional capacity and respiratory muscle strength. The second stage investigated anthropometric characteristics, peripheral muscle strength and pulmonary function. These two stages of the assessment were randomized and divided so that the tests requiring maximum effort were not performed on the same day. This procedure aimed to reduce the risks to the health of the assessed individuals. The assessments were performed by a previously trained physical therapist between March and September of 2012.

Instruments and measures for data collection

Sociodemographic data

Sociodemographic data were assessed by an interview, which consisted of a semi-structured questionnaire that obtained data regarding the gender, age, ethnicity / race, marital status, education, occupation, monthly income and medical history of each participant.

Anthropometric data

The anthropometric data and the body mass index (BMI) were measured using a calibrated anthropometric scale (Filizola®) while individuals were barefoot and wearing minimal clothing. Body mass was measured in kilograms (kg), and height was measured in meters (m). BMI was calculated by dividing the body weight by the squared height (kg/m2).

Functional capacity

Functional capacity was assessed using the six-minute walk test (6MWT), which was conducted in an outdoor corridor (30 m long by 1.5 m wide). The temperature and air humidity at the time of each test was recorded using a portable thermo-hygrometer (HT-200 Digital- Instrutherm, São Paulo, State of SP, Brazil), and the test was performed according to the recommendations of the American Thoracic Society [15]. Prior to each test, individuals remained at rest for at least 10 minutes, and blood pressure, oxygen saturation and heart and respiratory rates were measured. The levels of dyspnea and exertion were also determined using the Borg[16] scale. The distance walked in the 6MWT (6MWD) was measured in meters and was taken as an indication of each individual's performance in the test. The predicted values were calculated according to the method described by Enright and Sherrill[17].

Peripheral muscle strength

Overall muscle strength was assessed by measuring handgrip strength (HS), which was evaluated using a Jamar manual hydraulic dynamometer (model SAEHAN® Hydraulic Hand Dynamometer, Masan 630-728 KOREA). Several published studies have shown that this is a quick and effective method for measuring muscle strength that correlates well with other measures of functional capacity and strength in the extremities[18-20]. HS measurements were performed according to the recommendations of the American Society of Hand Therapists (ASHT)[21]. Individuals were placed in a sitting position without arm support, with their feet on the floor, shoulders adducted, elbows flexed at a 90º angle and forearms in a neutral position. Following a verbal command, each individual performed a voluntary maximal isometric contraction of the dominant limb. At least three measurements were obtained from each study participant with a one minute interval between measurements. The mean values were determined and compared to the predicted values[22].

Respiratory muscle strength

Respiratory muscle strength was assessed by measuring the maximal inspiratory pressure (MIP) and the maximal expiratory pressure (MEP) using manovacuometry. For this purpose, a properly calibrated Ger-Ar® (São Paulo, Brazil) manovacuometer with scales from -300 to +300 cm H2O that was equipped with a plastic trachea 16 inches long and with an inside diameter of 2.4 cm, a rigid plastic nozzle and a leak orifice (approximately 2 mm in diameter) was used to prevent increases in oral cavity pressure induced by contractions of the facial and oropharynx muscles[23]. All maneuvers were performed using a nose clip while the individual was sitting. Following a verbal stimulus, individuals performed a maximum respiratory effort for three seconds (between three and five times) in an acceptable and reproducible way. When the difference between the obtained measurements from an individual was greater than 10%, a new maneuver was performed and the highest value obtained was considered. The MIP value obtained was preceded by a full expiration near the residual volume, and the PEmax was preceded by a full inspiration next to the total lung capacity (TLC)[24]. The values obtained were compared to the predicted values[25].

Pulmonary function

To assess pulmonary function, a properly calibrated microQuark® portable spirometer (COSMED, Rome, Italy) was used according to the technical procedures of the Guidelines of the Brazilian Society of Pulmonology and Phthisiology (Sociedade Brasileira de Pneumologia e Tisiologia)[26]. The following measures were obtained: slow vital capacity (SVC), forced vital capacity (FVC), forced expiratory volume in one second (FEV1), the FEV1/FVC ratio and the maximum voluntary ventilation (MVV). Two minute intervals separated each of the FVC, SVC and MVV measurements, and at least three replicates were obtained for each maneuver, except for MVV, for which only a single measurement was obtained. Spirometric values were expressed as a percentage of the predicted value for the Brazilian population[26].

Data analysis

Descriptive analyses were performed to determine the means, standard deviations, absolute numbers and percentages. Shapiro-Wilk tests, which were used to verify the normality of the data, revealed that all variables in the current study sample had normal distributions, except for MIP. Paired Student's t-tests were used to compare the measured and predicted values for MEP, lung volume and capacity, 6MWD and HS, and the Wilcoxon test was used for MIP. Because only one of the variables exhibited a non-parametric distribution, we have presented all data as the means and standard deviations. To study the correlations between the variables, Pearson tests were used for MEP, lung volume and capacity, 6 MWD and HS, and Spearman tests were used for MIP. Correlations were classified as weak (0.26 to 0.49), moderate (0.50 to 0.69), strong (0.70 to 0.89) or very strong (0.90 to 1.00)[27]. The significance level was set at p<0.05. The Statistical Package for Social Sciences (SPSS), version 17.0 for Windows, was used for statistical analyses.

Ethical aspects of the study

The project was approved by the Research Ethics Committee of the Federal University of Triangulo Mineiro (Universidade Federal do Triângulo Mineiro - UFTM), of Uberaba, state of MG, Brazil, under protocol No. 1818. All participants were informed of the objectives and methodology of the study, and they all signed informed consent forms in accordance with Resolution No. 196 of October 10, 1996 of the National Board of Health (Conselho Nacional de Saúde).

Results

From the survey of records accessed in the RBC and ARFA of Uberaba, 65 individuals were selected. From these, 36 were excluded either because they exhibited comorbidities or they were no longer living at the time of the study. Thus, the initial sample was composed of 29 individuals, of whom eight refused to participate, leaving a final sample size of 21 subjects (Figure 1).
Figure 1

Flow diagram of the representative sample loss and individuals participating in the study.

Flow diagram of the representative sample loss and individuals participating in the study. Of the 21 subjects included in the study, 14 (66.7%) were male, and seven (33.3%) were female. The overall mean age was 29±6 years. Most participants were of black ethnicity (66.7%) and had an average education (47.6%), active job (66.7%) and low income (66.7%, defined as less than three times the minimum wage). In addition, 66.6% had the homozygous SS form, 23.8%, had the heterozygous SC from and 9.6% had the heterozygous Sβ form of beta hemoglobin. Regarding medication, all patients were using folic acid, and only four (19%) used Hydroxyurea. The demographic and anthropometric characteristics and the spirometric values are presented in Table 1.
Table 1

Distribution of mean demographic, anthropometric and spirometric variables.

Variables
Gender (M/F)14/7
Age (years)29±6
Weight (kg)60±9
Height (cm)167±8
BMI (kg/m2)21±2
FVC (%pred) 79±9
SVC (%pred)77±10
FEV1 (%pred)79±7
FEV1/FVC (%)99±11
MVV (%pred)68±13

Kg: kilogram; cm: centimeter; Kg/m2: kilogram per square meter; BMI: body mass index; FVC: forced vital capacity; SVC: slow vital capacity, FEV1: forced expiratory volume in one second; FEV1/FVC: Ratio between the FEV1 and the FVC; MVV: maximal voluntary ventilation; % pred: percentage of predicted.

Distribution of mean demographic, anthropometric and spirometric variables. Kg: kilogram; cm: centimeter; Kg/m2: kilogram per square meter; BMI: body mass index; FVC: forced vital capacity; SVC: slow vital capacity, FEV1: forced expiratory volume in one second; FEV1/FVC: Ratio between the FEV1 and the FVC; MVV: maximal voluntary ventilation; % pred: percentage of predicted. During the assessments of lung function, 47.6% (n=10) of the patients were shown to exhibit an altered ventilatory pattern, and 42.8% (n=9) had RVPs. In 4.8% (n=1) of the patients, the respiratory pattern was both obstructive and restrictive (i.e., mixed). The remaining 52.4% had preserved lung function. Regarding respiratory muscle strength, the MIP values were significantly lower than expected for females, but the values observed in males were similar to the reference values for their age. The MEP values were significantly lower than expected for both men and women, as were the HS and 6MWD values, as described in Table 2.
Table 2

Average values and predicted maximal respiratory pressures, handgrip strength and 6 MWD according to gender.

VariablesObtained (M/F)Predicted (M/F)
MIP (cmH2O) 100±28 / 64±13[*]93±5 / 93±2
MEP (cmH2O)103±27[#] / 64±17[#]143±5 / 94±2
HS (kgf)39±7[#] / 27±7[#]45±1 / 33±1
WD (m)447±62[#] / 405±71[#]731±61 / 683±30

Data are expressed as the mean ± standard deviation; (M/F): (Male/Female) MIP: maximal inspiratory pressure, MEP: maximal expiratory pressure; HS: handgrip strength, WD: walked distance; cmH2O: centimeters of water; kgf: kilogram force, m: meters;

Wilcoxon test, p<0.05;

paired Student's t-test, p<0.05.

Average values and predicted maximal respiratory pressures, handgrip strength and 6 MWD according to gender. Data are expressed as the mean ± standard deviation; (M/F): (Male/Female) MIP: maximal inspiratory pressure, MEP: maximal expiratory pressure; HS: handgrip strength, WD: walked distance; cmH2O: centimeters of water; kgf: kilogram force, m: meters; Wilcoxon test, p<0.05; paired Student's t-test, p<0.05. Positive correlations between MVV and MEP (weak) and between MVV and BMI (moderate) were observed. Both maximal respiratory pressures were positively correlated with HS, which was also strongly correlated with MIP and moderately correlated with MEP. Furthermore, HS was observed to correlate positively with 6MWD (weak), MVV and BMI (moderate) (Table 3).
Table 3

Distribution of correlation coefficients between MIP, MEP, MVV, BMI, handgrip strength and walked distance.

VariablesCorrelation coefficient (r)p
MIP vs. HS0.7[*]0.001
MIP vs. MVV0.3[*]0.079
MIP vs. BMI0.2[*]0.352
MEP vs. MVV0.4[**]0.046
MEP vs. HS0.6[**]0.002
MEP vs. BMI0.1[**]0.452
MVV vs. HS0.5[**]0.015
WD vs. MVV0.03[**]0.884
WD vs. HS0.4[**]0.038
BMI vs. MVV0.6[**]0.003
BMI vs. HS0.6[**]0.004

MIP: maximal inspiratory pressure, MEP: maximal expiratory pressure; HS: handgrip strength; MVV: maximal voluntary ventilation, WD: walked distance; BMI: body mass index; vs.: versus;

Spearman correlation;

Pearson correlation.

Distribution of correlation coefficients between MIP, MEP, MVV, BMI, handgrip strength and walked distance. MIP: maximal inspiratory pressure, MEP: maximal expiratory pressure; HS: handgrip strength; MVV: maximal voluntary ventilation, WD: walked distance; BMI: body mass index; vs.: versus; Spearman correlation; Pearson correlation.

Discussion

SCD can affect many body systems, including the respiratory and musculoskeletal systems[2], which can impair lung function and functional capacity. As described above, decreases in lung function, overall muscle strength and functional capacity were observed in the present study. When assessing pulmonary function, individuals may exhibit either normal function or altered ventilatory patterns, which are classified as obstructive, restrictive or mixed. Obstructive ventilatory patterns (OVPs) are characterized by disproportionately decreased peak flows when compared to the volume that can be eliminated, and the FEV1 and FEV1/FVC are the major measures by which to characterize OVPs. RVPs are characterized by decreased TLC. It should be noted that RVP cannot be measured by spirometry. However, RVP values can be inferred when the vital capacity (VC) and FVC are decreased and the FEV1/FVC ratio is normal or increased. Finally, MVP is characterized by having both obstruction and restriction simultaneously[26]. In the present study, the values obtained from 47.6% of the patients revealed changes in the pulmonary function (i.e., RVP or MVP). Our results indicate that RVP is a common finding in this disease, which is consistent with the results of a study by Klings et al.[9] that assessed lung function in individuals with SCD in the presence or absence of a history of acute chest syndrome (ACS). In that previous study, most individuals exhibited an RVP, regardless of their history of SCD (77% of individuals with SCD and 69% of individuals without SCD). The presence of RVP in this population might result from episodes of vaso-occlusion in the lung, which is an organ that is prone to suffer from this condition because of its anatomical characteristics[28]. This can result in pulmonary infarctions, necrosis of the alveolar wall with consequent airway remodeling[29], pulmonary fibrosis and progressive loss of lung function[30,31]. In addition, RVP may be a result of shallow breathing caused by chest pain or by structural impairments of the chest cavity due to bone infarcts, osteoporosis or osteomalacia in the vertebrae[3]. These changes affect both lung elasticity and the expansion of the chest wall[32,33], two factors that may also influence respiratory muscle strength. In the present study, the observed respiratory muscle strength was weak because women had reduced MIP and MEP values and men had reduced MEP values when compared to the predicted values[25]. In a recent study[11], the respiratory muscle strength (MIP and MEP) of 34 children and adolescents (with a mean age of 12.9±3.5 years) with SCD was evaluated. That recent study reported weakness in the expiratory muscles, thus suggesting that patients can suffer the consequences of SCD even in this age range. Although the age range of this study differs from that examined in the present study, we observed that the weakness of the expiratory muscles may persist into adulthood and that inspiratory muscles may also be affected in women. When assessing the relationships between respiratory muscle strength and lung function, a positive correlation between MEP and MVV was observed, which represents the individual's ability to sustain a high level of ventilation[26] (i.e., the strength of the respiratory muscles)[34]. To sustain a high level of ventilation, it is important that the respiratory muscles maintain their strength, which highlights the relationship between these two components. Thus, when planning physical therapy, resistance training should be performed in addition to strength training of the respiratory muscles to allow for the maintenance of constant breathing patterns with some resistance[35]. Including resistance training can help prevent early fatigue and dyspnea, thereby providing a greater tolerance for physical exercise. In addition to changes in respiratory muscle strength, a discrete reduction in the strength of the peripheral muscles was identified, as demonstrated by the HS values. This muscle weakness may be the result of the pathophysiology of SCD, in which individuals have frequent vaso-occlusive crises[4] due to the process of HbS polymerization, which promotes greater adhesion of these cells to the vascular endothelium and can induce ischemia, inflammation and oxidative stress[30]. It is known that oxidative stress can damage peripheral muscle, thus leading to impaired performance and function[36]. The observed changes in peripheral muscle strength may be related to the strength and resistance of the respiratory muscles, which are represented by the maximal respiratory pressures and MVV, respectively, as shown in the present study, in which HS was shown to correlate with MIP, MEP and MVV. In addition, the decreased functional capacity of this population may result from the systemic involvement reported in this population[2], which includes dyspnea, fatigue, lower limb pain and generalized muscle weakness[37]. These are consistent with the results of the present study, in which functional capacity was reduced when compared to the expected value for the 6MWT. In a study[12] conducted with SCD patients with and without pulmonary hypertension, individuals who did not have pulmonary hypertension walked an average of 435 meters in the 6MWT, which is very similar to the distance walked in the present study, in which subjects walked an average of 426 meters. Barst and colleagues[14] also evaluated functional capacity in adults with SCD, but only in patients with SCD that was associated with arterial or venous pulmonary hypertension. In addition, the distance walked was 353 and 370 meters for patients with arterial and venous pulmonary hypertension, respectively, both of which are lower values for 6MWTs than those observed in the present study. One factor that may have contributed to the impaired functional capacity observed in the present study is the presence of recurring pain that can arise from SCD, especially in regions of the hip and lower limb[38]. Chronic pain may involve changes in the functional state[39] and predispose affected individuals to a more sedentary lifestyle. This can result in less muscular work and a consequent decrease in tropism that can lead to peripheral muscle weakness over time[40], which compromises functional capacity, as observed in this study, in which the HS was related to 6MWD. Furthermore, the chronic hemolysis observed in individuals with SCD results in increased metabolic demand due to increased erythropoiesis and cardiac work, which causes a greater demand for energy, minerals and proteins. Thus, the basal metabolic rate of these individuals is 20% higher than that observed in healthy controls, a fact that frequently leads to lower BMI values[1], as observed in the present study. This factor may cause reduced muscle strength and changes in pulmonary function, which would be consistent with the results of the present study, in which BMI was positively correlated with HS and MVV. However, the changes in BMI and other variables studied herein are the result of SCD and comprise a symptomatology that involves interactions between all of these factors. The primary limitation of the present study is the small sample size, which resulted from the fact that many individuals were not included because of their associated comorbidities (or death prior to the study), hospitalizations, outdated contact information or their refusal to participate in the study. However, it is difficult to perform studies of SCD with large sample sizes because of the low frequency of SCD when compared to other chronic diseases. Moreover, the lack of studies examining similar objectives in individuals within a similar age range made it difficult to compare the results obtained in this study. However, our results suggest a new perspective regarding the effects of SCD on pulmonary function and functional capacity, at least within the sample studied here.

CONCLUSION

Individuals with SCD may exhibit changes in pulmonary function and functional capacity. Indeed, the MIP observed in women examined in the current study was lower than expected. The MEP, HS and 6MWD values were all lower than expected among both men and women. Finally, positive correlations were observed between HS and the MEP, MIP, MVV, BMI and 6MWD. Positive correlations were also observed between the MVV and MEP and BMI. These results suggest that damage caused by SCD can significantly impact pulmonary function and functional capacity. Thus, adequate measures for intervention should be encouraged, especially physical therapy, which could play an important role in improving the health of this population.
  25 in total

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Journal:  Am J Hematol       Date:  2009-04       Impact factor: 10.047

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10.  Diurnal variations in the parameters of pulmonary function and respiratory muscle strength in patients with COPD.

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Authors:  Charity I Oyedeji; Katherine Hall; Alison Luciano; Miriam C Morey; John J Strouse
Journal:  Pilot Feasibility Stud       Date:  2020-09-17

2.  Impact of a submaximal mono-articular exercise on the skeletal muscle function of patients with sickle cell disease.

Authors:  Etienne Gouraud; Philippe Connes; Alexandra Gauthier-Vasserot; Camille Faes; Salima Merazga; Solène Poutrel; Céline Renoux; Camille Boisson; Philippe Joly; Yves Bertrand; Arnaud Hot; Giovanna Cannas; Christophe Hautier
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Authors:  Cirlene de Lima Marinho; Maria Christina Paixão Maioli; Jorge Luis Machado do Amaral; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

5.  Relationship between ventilation heterogeneity and exercise intolerance in adults with sickle cell anemia.

Authors:  A J Lopes; C L Marinho; U D Alves; C E A Gonçalves; P O Silva; E C Botelho; R Bedirian; A R Soares; M C P Maioli
Journal:  Braz J Med Biol Res       Date:  2017-07-20       Impact factor: 2.590

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7.  The Sickle Cell Disease Functional Assessment (SCD-FA) tool: a feasibility pilot study.

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