Giovanna Cannas1,2,
Solène Poutrel1,2, Emilie Virot1,2,
Manon Marie1,2, Alexandre Guilhem1,
Amal El-Kanouni2, Richard Bourgeay2,
Marie-Grace Mutumwa2, Mohamed Elhamri2 and
Arnaud Hot1,2.
1 Internal
Medicine, Hospices Civils de Lyon, Edouard Herriot Hospital, Lyon,
France.
2
Constitutive reference center, Major sickle cell syndromes, thalassemia
and other rare pathologies of red blood cell and erythropoiesis,
Edouard Herriot Hospital, Lyon. France.
.
Correspondence to: Giovanna Cannas, M.D. Internal Medicine (Constitutive reference center:
Major sickle cell syndromes, thalassemia, and other rare pathologies of
red blood cell and erythropoiesis), Hospices Civils de Lyon, Edouard
Herriot Hospital; 5, place d’Arsonval 69437 Lyon cedex 03, France. Tel.
+33 (0)472117413, Fax. +33 (0)472117308. E-mail: giovanna.cannas@chu-lyon.fr Orchid: 0000-0002-6785-7709
Published: September 01, 2025
Received: July 03, 2025
Accepted: August 18, 2025
Mediterr J Hematol Infect Dis 2025, 17(1): e2025065 DOI
10.4084/MJHID.2025.065
This is an Open Access article distributed
under the terms of the Creative Commons Attribution License
(https://creativecommons.org/licenses/by-nc/4.0),
which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
|
Abstract
Sickle
cell disease (SCD) is a genetic disease of public health concern. Adult
patients face various disease-related complications, which affect their
quality of life (QoL). Few studies have examined relationships between
these events and health-related (HR) QoL. We conducted a study of 240
adults with SCD seen in steady state at a routine clinic visit over one
year. Two self-administered questionnaires were used to determine
patients’ HRQoL: the sickle cell self-efficacy scale (SCSES) comprising
9 specific items and the unspecific SF-36 scoring system comprising 8
subscales, which construct the physical component summary (PCS) and the
mental component summary (MCS). Factors impacting HRQoL were
established using univariate and multivariate regression analyses.
Participants had a median age of 28 years (Sex ratio male/female 0.61;
68% SS genotype). Most of them had experienced more than one
SCD-related complication and more than one affected organ system. A
good correlation was established between the SCD-specific and the
unspecific scoring systems (p < 0.0001). Using the SF-36 scoring
system, energy/fatigue, general health, and pain subscales showed the
lowest median scores (50, 45, and 56.5, respectively), while physical
functioning had the highest median score (75). In univariate and
multivariate analyses, hospitalization for SCD complications occurring
during the last year preceding QoL evaluation was the main feature
impacting HRQoL (p < 0.001). Good compliance to hydroxyurea (HU)
therapy was associated with higher SCSES (p = 0.04) and higher
emotional role functioning (p = 0.03) scores. The recent occurrence of
severe SCD complications mainly influenced HRQoL. Our study suggests
that a more effective treatment through better compliance with HU
therapy would provide benefit in terms of QoL.
|
Introduction
Sickle
cell disease (SCD) is a genetic disease that impacts the quality and
longevity of life. It is caused by a point mutation in codon 6 of the
β-globine chain that results in an amino acid substitution of valine
for glutamic acid. SCD is characterized by red-cell sickling under
hypoxic conditions, leading to chronic hemolytic anemia, vasculopathy,
and vaso-occlusion crisis (VOC), and/or acute chest syndrome (ACS).[1]
In contrast to low-income countries, the prognosis of SCD has
significantly improved over the last decades in developed countries
because of newborn screening, prophylaxis with antibiotics, preventive
therapy for strokes, conjugated vaccines, hydroxyurea (HU),
evidence-based supportive care, and potentially allogeneic
hematopoietic stem cell transplantation. However, patients often still
experience painful acute crises as well as chronic, which, in addition
to the psychological burden of living, can have a negative impact on
patients’ health-related quality of life (HRQoL).[2]
Most studies on HRQoL have shown that SCD confers a significant burden
on patients, including impacts on daily activities, social life, work
and education, self-efficacy (SE), and adaptation skills.[3-9] The relationship of SCD
complications to diminished HRQoL has been established for frequent
sickle pain or opioid usage.[10-13]
The
present study utilized a contemporary adult SCD cohort in steady state
with the aim of providing insights into the patient-reported impact of
SCD on QoL. It provided an opportunity to examine the relationship
between social-demographic, clinical, and biological events and
patient-reported QoL. In the absence of fully validated SCD-specific
questionnaires, most QoL studies have relied on standardized, generic
HRQoL assessments. Our main goals were to compare such a scoring
assessment with a more specific scoring system and to advance our
understanding of factors that are important to improve QoL and function
of patients with SCD.
Patients
and Methods
Patients.
All adult patients (age ≥ 18 years) with SCD (established by hemoglobin
electrophoresis, confirmed by genetic analysis when diagnosis was
unclear) followed at the Constitutive Reference Center of our
University Hospital for major SCDs, seen in steady phase at a routine
clinic visit from April 2023 to May 2024, were systematically invited
to participate in this prospective study. Overall, 240 successive
patients entered the study. All participants were informed about the
aims of the study and gave non-opposition consent to anonymous data
collection and analyses. The study was approved by an institutional
scientific committee (MR004, RNIPH 25-5126) and conducted in accordance
with the guidelines set by the Declaration of Helsinki. Four patients
(1.6%) did not return the questionnaire or failed to complete it.
Therefore, 236 patients were analyzed. Steady state was defined as free
of clinical complications, including vaso-occlusive complications or
any acute exacerbations, at the time of consultation.[14]
People with sickle cell trait (AS) were excluded. Analyzed patients had
baseline data on their disease characteristics abstracted from their
medical records. Demographic characteristics included: age, gender,
body mass index (BMI), and employment. Clinical characteristics
included: antecedents of serious SCD events (VOC, ACS, organopathies),
current treatments, SCD-related complications since last consultation
(6 months), and interval of time from last acute SCD complication
requiring hospitalization to the present consultation. Biological
parameters included SCD genotype (SS, SC, Sβ0,
Sβ+,
others), hemoglobin (Hb) level, mean corpuscular volume (CVM), ferritin
and vitamin D levels, polymorphonuclear neutrophils (PMN) count, and
HbF percentage for patients treated with HU. BMI was calculated as
weight (Kg)/height2
(m2)
and categorized as underweight (<18.5), normal weight (18.5-25),
overweight (>25-30), and obese (>30). Anemia was defined
as
moderate with Hb level between 100 g/L and 70 g/L, and severe with Hb
level less than 70 g/L.[15]
Patients were stratified
as either on HU (defined as having received HU for a minimum of 3
months), chronic transfusion therapy (receiving current monthly
exchange or simple transfusions ongoing for a minimum of 6 months),
other SCD-specific treatments, or treatment naïve (not on any
SCD-specific modifying therapy). Good compliance with HU therapy was
arbitrarily defined by HbF > 15% at the time of consultation.
QoL
measurement.
Two questionnaires were given simultaneously for QoL measurement: (i)
the 36-item short-form Health Survey (SF-36) questionnaire, developed
by RAND Health, a universally accepted tool for assessing HRQoL of many
chronic diseases; and (ii) the sickle cell self-efficacy scale (SCSES),
considered as a tailored disease-specific questionnaire.
Short-form
health survey SF-36 (RAND 36-item).
The SF-36 version 2.0 (RAND 36-item) is a non-disease-specific measure
of HRQoL. The RAND 36-item, adapted to the pace of consultations,
comprises 36 items with eight subscales: physical functioning (10
items), physical role functions (4 items), bodily pain (2 items), and
general health (5 items) which construct the physical component summary
(PCS), and emotional role functioning (3 items), vitality (4 items),
mental health (5 items), and social functioning (2 items) which
construct the mental component summary (MCS).[16-18]
PCS and MCS scores were calculated as means of their own subscales.
Furthermore, one item scores the patient's health estimation compared
to his health status one year ago, ranging from “much worse” to “much
better”. Scores of the various parts of the questionnaire are
transformed into the range of 0 to 100. Higher scores indicate better
QoL, and lower scores indicate poor QoL.
Sickle
cell self-efficacy scale (SCSES).
The SCSES comprises 9 items that ask the respondents to rate their
confidence in their ability to manage their SCD, control SCD-related
pain, engage in activities of daily living while living with SCD, and
manage emotions/frustrations related to living with SCD.[3]
The patients’ responses were rated on a 5-point Likert scale ranging
from 1 (“not sure at all”) to 5 (“completely sure”). The overall score
of the scale varies from 9 to 45, and a higher score indicates better
SE. The score of the scale is categorized into three levels: low SE (9
– 20.99), moderate SE (21 – 32.99), and high SE (33 – 45).
Statistical
analysis.
All evaluation parameters were subjected to a descriptive analysis. The
quantitative variable evaluation parameters were described using
position parameters (mean or median) and dispersion (standard deviation
(SD), inter-quartile range (IQR)). The qualitative variable evaluation
parameters are shown in the form of numbers and frequency for each
modality. Independent t-test and one-way ANOVA were used to compare the
mean score of the PCS, the MCS, and the SCSES in terms of dichotomous
demographic, clinical, and therapeutic variables. Differences among
categorical variables were compared by the χ2
test.
Regarding
continuous variables, the threshold chosen for the analyses was often
the median value. In this setting, median PCS and MCS scores were used
as cut-offs to individualize higher and lower scores. The significant
variables, in addition to PCS and MCS scores, were entered into a
regression model as independent variables. Independent determinants of
HRQoL were established using multivariate regression models. Estimated
hazard ratios (HRs) are reported as relative risks (RR) with 95%
confidence intervals (CI). The statistical significance cut-off was set
at a p-value < 0.05. All computations were run using the BMDP
statistical Software (BMDP Statistical Software, Los Angeles, CA).
Results
Social-demographic,
biological, and clinical characteristics of patients.
A total of 240 participants with SCD entered the study. Of the enrolled
patients, 236 individuals completed the questionnaire and were
analyzed. Table 1
provides the
demographic characteristics and an overview of the disease and
treatment characteristics of the analyzed cohort. The median age was 28
years (range: 18 – 75 years). The cohort included 160 SCD patients with
genotype SS (68%), 49 with genotype SC (21%), 14 with Sβ0 thalassemia
(6%), 11 with Sβ+
thalassemia (4%), and 2 with others (1%). Main clinical and biological
features at the time of QoL evaluation are indicated in Table 1.
Most patients had experienced more than one SCD-related complication
and more than one affected organ system. The prior occurrence of acute
VOC was the most common complication (94%), followed by organopathies
(66%) and ACS (39%). Among organopathies, gall bladder disease was the
most frequent (33%), followed by bone complications (19%), vascular
complications (12%), retinopathy (14%), and renal complications (5%).
Eleven percent of patients had a prior splenectomy. Seventy-four
patients (31%) experienced one hospitalization for SCD complication
during the last 6 months. All 74 patients presented VOC complicated by
ACS in one case or organopathy in 3 cases. Regarding therapy at the
time of consultation, 60% of participants (142 patients) were taking
HU. Twenty patients (8%) followed a transfusion program, 16 (7%)
received erythropoietin (EPO), and 13 (5%) received iron chelating
therapy. Twenty-three patients (9%) participated in investigational
trials testing novel agents, including endari (L-glutamine), pyruvate
kinase activators, voxelotor, or crizanlizumab.
 |
- Table 1. Characteristics of the 236 patients included in the analyses.
|
Health-related
quality of life of the patients. Table 2
shows the median and mean scores and IQR of the 236 patients according
to SCSES and RAND SF-36 with its various domains of HRQoL. With the
SCSES, 29 patients were classified as low SE (12%), 133 as moderate SE
(56%), and 71 as high SE (30%). Three patients did not fill out the
SCSES questionnaire. Regarding the RAND SF-36 variables, the lowest
scores were in energy/fatigue (mean 48.5 ± 20.6 SD) and general health
(46.5 ± 22.6), followed by pain (53.6 ± 26.2). The highest score was in
physical functioning (71.1 ± 23.9). Overall, the mean MCS score was
60.0 ± 21.0, and the mean PCS score was 56.2 ± 22.1.
 |
- Table 2. Descriptive data of the RAND SF-36 and the SCSES in the 236 SCD patients.
|
Participants
evaluated their current health status compared to the previous year.
Forty-eight subjects (20%) rated their general health as somewhat worse
or much worse than the previous year, while 90 (38%) indicated that
health status did not change, and 98 (42%) that it was better or much
better.
Relationships
between the used HRQoL scales,
SCSES, PCS, and MCS RAND SF-36 subscales were highly correlated (p
<
0.0001). SCSES and SF-36 subscales also correlated strongly with
patients' estimated current health status compared to the previous year
(p < 0.0001) (Figure
1 A-D).
 |
- Figure 1.
Relationships between the used HRQoL scales. SCSES and PCS and MCS RAND
SF-36 subscales were highly correlated (p < 0.0001). SCSES and SF-36
subscales also correlated strongly with patient estimated current
health status comparatively to the previous year (p < 0.0001). (A)
SE groups according to PCS and MCS subscales, (B) Estimation of
patients’ health according to PCS and MCS subscales, (C) SE groups
according to PCS and MCS scores, (D) Estimation of patients’ health
according to PCS and MCS scores.
|
Associations
between patient-reported QoL and demographic, disease, and treatment
characteristics. Demographic and clinical variables of SCD
patients according to PCS, MCS, and SCSES were detailed in Table 3.
In univariate analyses, iron chelating therapy was associated with
lower PCS scores (p = 0.04), and MCV < 100 fL with lower MCS
scores
(p = 0.01). Treatment with a novel agent was correlated with both lower
PCS and MCS (p = 0.04). In addition, Hospitalizations for SCD
complications during the last 6 months and the last year before
consultation were significantly associated with lower PCS (p <
0.0001 and p = 0.0001, respectively) and MCS (p = 0.01 and p <
0.0001, respectively) scores. Results are detailed in Table 4A.
Multiple
regressions were performed to examine the relationship between
SCD-specific variables and PCS and MCS SF-36 scores. Table 4B
presents the findings from multivariate analysis. Hospitalization
during the last year remained the main feature significantly associated
with PCS (p = 0.0001) and MCS (p = 0.001) scores.
 |
Table 3. Demographic and clinical variables of SCD patients according to three outcome variables: PCS, MCS, and SCSES. |
 |
Table 4. Characteristics
significantly associated with PCS and MCS scores: results of the
univariate (A) and multivariate (B) analyses.
|
Impact
of HU therapy on patient-reported QoL. One hundred and forty-two
patients received HU at the time of the consultation. Median dose was
18 mg/Kg/day and median time of administration was 71.9 months (range:
3.1 – 382.4 months). In this patient subset, SCSES remained strongly
correlated to PCS and MCS RAND SF-36 subscales (p = 0.001 and p = 0.01,
respectively). Both SCSES and SF-36 subscales also correlated strongly
with patients' estimated current health status compared to the previous
year (p = 0.03, p = 0.01, and p = 0.001, respectively). Demographic,
therapeutic, and clinical variables associated with PCS and MCS scores
were similar in the HU-treated population as in the general patient
population.
When considering patients with good compliance to HU
therapy defined by HbF > 15%, a significant association was
demonstrated with the higher SE group (p = 0.04), and with higher
emotional role functioning scores (p = 0.03) of the RAND SF-36.
Patients displaying a good compliance to HU therapy were also
associated with higher Hb level > 100 g/L (31% vs 13%; p =
0.04),
MCV > 100 fL (60% vs 7%; p < 0.0001), and ferritin
> 95 ng/mL
(89% vs 45%; p < 0.0001).
Discussion
With
advances in
treatment for SCD, the life expectancy has significantly increased in
high-income countries over the last decades, leading to an increased
prevalence of mature adults who should deal with repeated SCD
complications that may seriously affect their QoL. Although QoL
evaluation is a cornerstone in hematological diseases, it is rarely
considered as such and is often seen as a secondary endpoint. However,
a better understanding of patient experience and their QoL, especially
under treatment, is essential in promoting health and well-being. In
this setting, all therapeutic approaches should answer two major
questions: “How long can I live without any severe complication of my
disease?” and “with what impact on my QoL?”
Available data from
the patient viewpoint regarding the SCD impact on QoL remains
relatively limited. Most of them have relied on standardized, generic
HRQoL assessments, such as the 36-Item Short-Form Health Survey
(SF-36).[19-21] These studies have
shown that SCD
patients still experience very poor HRQoL. However, these generic
scales are questionable. They do not consider SCD-specific symptoms and
are not comprehensive assessments of all aspects of patients’ lives.
They may therefore underestimate the burden of illness of SCD. In our
study, we first compared the unspecific SF-36 scoring system with the
more specific SCSES score. Although this last one questioned more
disease-specific points, it also has imperfections and did not explore
the physical and mental components of QoL as deeply. Despite these
imperfections, the good correlation observed among the two scoring
systems strengthened the value of each questionnaire and tended to
validate previous published data using the SCD-unspecific scoring
system.
Previous studies found that pain impairs health status and QoL more
than any other SCD-related complication.[19,22] They reported that SCD did not have
negative effects on the emotional and social well-being of the
patients,[12,21,22]
suggesting a patient adaptation to their chronic disease with a
tendency to focus more on the positive experience of the disease.[21] Strong religious beliefs in African
populations have been put forward to partly explain this fact.[20]
It has also been shown that access to good healthcare services improves
the QoL by reducing the frequency of bone pain crises, suggesting that
more effective management of persistent pain could improve the QoL. The
level of income has also been shown as an independent determinant of
QoL.[21,23]
Our findings
identified several disease and treatment characteristics that were
significantly associated with QoL. In contrast with previous reports,[12,21,22]
the main factor associated with patient QoL in our series was directly
dependent on the expression of the patient's chronic disease requiring
a recent hospitalization for severe SCD complications. Certainly,
hospitalization was always associated with VOC and, therefore, pain,
but pain was not the primary reason for patient complaints. While SCD
genotype is often considered a main determinant of disease severity,
SCD genotype was not associated in our study with any HRQoL subscales,
which was partly consistent with previous findings. In other studies,
HRQoL was not associated with genotype except for the vitality
subscale.[12] However, the
direction of the statistically significant association between vitality
for SS/Sβ0
thal vs SC/Sβ+
thal was opposite of what would have been expected, with the more
severe genotypes being associated with better vitality, suggesting that
patients with severe genotypes tended to be more compliant with
hospital visits and treatment. Of note, a recent large study reported
that the SC genotype was more clinically severe than previously
recognized.[24,25] An unexpected
finding in our study
was the association between lower PCS and MCS scores and patient
participation in investigational trials testing novel agents. This
relationship with lower scores cannot be explained by potential
treatment side effects, given the heterogeneity of tested molecules. It
was more likely due to patient apprehension, fears, and anxiety caused
by the administration of unknown molecules. Treatments in this patient
population are often subject to reluctance, leading to poor compliance
with therapy. This reluctance was also seen with a classic treatment
such as HU therapy. Indeed, only 41% of patients from our series
achieved correct percentages of HbF, signifying good compliance with
treatment, generally confirmed by a good correlation with higher MCV
values, while all were supposed to receive a regular dose of HU. Good
observance of HU doses was associated with higher SE scores and with
higher emotional role functioning scores, suggesting less anxiety and
depressive tendencies. Previous studies showed better physical
functioning in adults with SCD who were taking HU compared to those who
were not.[26,27] HU significantly
improves pain
outcomes, reduces the occurrence of SCD complications, decreases
healthcare costs, and improves HRQoL.[28-31]
Despite
interesting findings, a number of limitations should be noted in our
study. Subject selection could have been biased toward less symptomatic
individuals as recruitment was targeted to stable individuals seen in
programmed consultation or day care unit hospitalization for regular
health check, while the questionnaire was not proposed at the time of
hospitalization for any SCD complications. Some important factors were
not assessed, such as measurement of protein-energy intake and
micronutrient levels, the deficiency of which was shown to increase SCD
severity and hospitalizations, and to reduce HRQoL.[32]
Furthermore, some studied subpopulations were too small to allow
accurate statistical analyses and should only be interpreted with
caution. HU compliance was arbitrarily defined and voluntary, quite
simplistic. It may be affected by inter-individual variability. A more
complex and likely more accurate definition of HU compliance involving
additional factors to HbF was not selected because it would lead to too
small subgroups. Although not representing many patients (4 patients),
another potential bias was the need for the subjects included to be
able to understand and answer the questionnaire, excluding therefore
patients not fluent in the French language.
Conclusions
Overall,
our study
confirmed the utility of the QoL questionnaire, whatever it was, to
estimate the physical and mental components of patients with SCD. QoL
in patients, although in steady state, remained relatively poor, with
median PCS and MCS only around 60% and median SCSES score in the
moderate group. Fatigue and pain remained the most affected subscales.
Negative points were related to chronic manifestations of the disease:
recent hospitalizations impacted HRQoL severely, as also did chronic
features associated with severe anemia. The most important point was
the favorable impact of HU therapy on QoL when correctly taken. This
encourages us to monitor HU therapy more closely and to encourage
patients to comply with their treatment. Our study suggests that a more
effective management of the disease, notably in terms of compliance
with the prescribed therapy, could substantially improve the QoL for
adults with SCD. Validation on a larger prospective series is warranted.
Author
contributions
Giovanna
Cannas contributed to the study conception and design, performed
statistical analyses, interpreted the data and wrote the manuscript.
Giovanna Cannas, Solène Poutrel, Emilie Virot, Manon Marie, Alexandre
Guilhem, and Amal El-Kanouni took care of patients. Richard Bourgeay
provided technical support. Marie-Grace Mutumwa and Mohamed Elhamri
performed data collection. Arnaud Hot critically reviewed the
manuscript. All authors read and approved the final
manuscript.
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