scholarly journals Musculoskeletal manifestations of sickle cell disease, diagnosis with whole body MRI

2012 ◽  
Vol 43 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Sherif A. Khedr ◽  
Mohamed A. Hassaan ◽  
Amro A. Shabana ◽  
Ayman H. Gaballah ◽  
Doha A. Mokhtar
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Disease Diagnosis ◽  
Whole Body ◽  
Cell Disease ◽  
Whole Body Mri ◽  
Musculoskeletal Manifestations

scholarly journals Tardive hip disease diagnosis in a young adult with sickle cell disease

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
AA Bokolombe ◽  
F Samato ◽  
T Lukinu ◽  
MB Ekila ◽  
MN Aloni
Keyword(s):  
Young Adult ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Disease Diagnosis ◽  
Cell Disease ◽  
Hip Disease

scholarly journals Predictors of musculoskeletal manifestations in paediatric patients presenting with sickle cell disease at a tertiary teaching hospital in Lusaka, Zambia

2020 ◽  
Vol 1 (6) ◽  
pp. 175-181
Author(s):  
Raymond Mpanjilwa Musowoya ◽  
Patrick Kaonga ◽  
Alick Bwanga ◽  
Catherine Chunda-Lyoka ◽  
Christopher Lavy ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Teaching Hospital ◽  
Clinical Manifestations ◽  
Classification Systems ◽  
University Teaching ◽  
Cell Disease ◽  
Tertiary Teaching ◽  
Musculoskeletal Manifestations

Aims Sickle cell disease (SCD) is an autosomal recessive inherited condition that presents with a number of clinical manifestations that include musculoskeletal manifestations (MM). MM may present differently in different individuals and settings and the predictors are not well known. Herein, we aimed at determining the predictors of MM in patients with SCD at the University Teaching Hospital, Lusaka, Zambia. Methods An unmatched case-control study was conducted between January and May 2019 in children below the age of 16 years. In all, 57 cases and 114 controls were obtained by systematic sampling method. A structured questionnaire was used to collect data. The different MM were identified, staged, and classified according to the Standard Orthopaedic Classification Systems using radiological and laboratory investigations. The data was entered in Epidata version 3.1 and exported to STATA 15 for analysis. Multiple logistic regression was used to determine predictors and predictive margins were used to determine the probability of MM. Results The cases were older median age 9.5 (interquartile range (IQR) 7 to 12) years compared to controls 7 (IQR 4 to 11) years; p = 0.003. After multivariate logistic regression, increase in age (adjusted odds ratio (AOR) = 1.2, 95% confidence interval (CI) 1.04 to 1.45; p = 0.043), increase in the frequency of vaso-occlusive crisis (VOC) (AOR = 1.3, 95% CI 1.09 to 1.52; p = 0.009) and increase in percentage of haemoglobin S (HbS) (AOR = 1.18, 95% CI 1.09 to 1.29; p < 0.001) were significant predictors of MM. Predictive margins showed that for a 16-year-old the average probability of having MM would be 51 percentage points higher than that of a two-year-old. Conclusion Increase in age, frequency of VOC, and an increase in the percentage of HbS were significant predictors of MM. These predictors maybe useful to clinicians in determining children who are at risk. Cite this article: Bone Joint Open 2020;1-6:175–181.

Label-Free Sickle Cell Disease Diagnosis using a Low-Cost, Handheld Platform

2016 ◽  
Vol 1 (5) ◽  
pp. 1600100 ◽  
Author(s):  
Bekir Yenilmez ◽  
Stephanie Knowlton ◽  
Chu Hsiang Yu ◽  
Matthew M. Heeney ◽  
Savas Tasoglu
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Low Cost ◽  
Disease Diagnosis ◽  
Label Free ◽  
Cell Disease

scholarly journals Pulmonary hypertension in sickle cell disease: diagnosis and management

Hematology ◽  
2014 ◽  
Vol 2014 (1) ◽  
pp. 425-431 ◽  
Author(s):  
Kenneth I. Ataga ◽  
Elizabeth S. Klings
Keyword(s):  
Pulmonary Hypertension ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Disease Diagnosis ◽  
Adult Patients ◽  
Heart Catheterization ◽  
Cell Disease ◽  
Risk Of Death ◽  
Increased Risk ◽  
High Prevalence

Abstract The increased survival of patients with sickle cell disease (SCD) into adulthood is associated with an increased incidence of multiorgan dysfunction and a progressive systemic and pulmonary vasculopathy. The high prevalence of an elevated tricuspid regurgitant jet velocity and its association with an increased risk of death in adult patients is well established. However, there has been controversy regarding the prevalence of pulmonary hypertension (PH) and its association with mortality in SCD. Multiple recently published reports demonstrate that PH as diagnosed by right heart catheterization is common in adult SCD patients, with a prevalence of 6%–11%. Furthermore, PH is associated with an increased risk of death in SCD patients. In this chapter, we provide evidence for the high prevalence of PH in SCD and its association with mortality and make recommendations for its evaluation and management. Finally, we provide the rationale for screening for this life-threatening complication in adult patients with SCD.

scholarly journals Innovative PCR without DNA extraction for African sickle cell disease diagnosis

Hematology ◽  
2017 ◽  
Vol 23 (3) ◽  
pp. 181-186 ◽  
Author(s):  
L. Detemmerman ◽  
S. Olivier ◽  
V. Bours ◽  
F. Boemer
Keyword(s):  
Sickle Cell Disease ◽  
Dna Extraction ◽  
Sickle Cell ◽  
Disease Diagnosis ◽  
Cell Disease

Influences of Sickle Cell Disease on Whole Body Bone Density and Body Composition

2011 ◽  
Vol 14 (2) ◽  
pp. 168
Author(s):  
Suzanne Soares-Wynter ◽  
Belinda Morrison ◽  
Wendy Madden ◽  
John Shepherd ◽  
Marvin Reid
Keyword(s):  
Body Composition ◽  
Bone Density ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Whole Body ◽  
Cell Disease ◽  
Body Bone

scholarly journals Disease Diagnostics: Label-Free Sickle Cell Disease Diagnosis using a Low-Cost, Handheld Platform (Adv. Mater. Technol. 5/2016)

2016 ◽  
Vol 1 (5) ◽  
Author(s):  
Bekir Yenilmez ◽  
Stephanie Knowlton ◽  
Chu Hsiang Yu ◽  
Matthew M. Heeney ◽  
Savas Tasoglu
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Low Cost ◽  
Disease Diagnosis ◽  
Label Free ◽  
Cell Disease ◽  
Disease Diagnostics

Musculoskeletal Manifestations of Sickle Cell Disease

Radiographics ◽  
2007 ◽  
Vol 27 (4) ◽  
pp. 1005-1021 ◽  
Author(s):  
Vivian C. Ejindu ◽  
Andrew L. Hine ◽  
Mohammad Mashayekhi ◽  
Philip J. Shorvon ◽  
Rakesh R. Misra
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Cell Disease ◽  
Musculoskeletal Manifestations

scholarly journals Predictors of musculoskeletal manifestations in paediatric patients presenting with sickle cell disease at a tertiary teaching hospital in Lusaka, Zambia

2020 ◽  
Vol 1 (6) ◽  
pp. 175-181
Author(s):  
Raymond Mpanjilwa Musowoya ◽  
Patrick Kaonga ◽  
Alick Bwanga ◽  
Catherine Chunda-Lyoka ◽  
Christopher Lavy ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Teaching Hospital ◽  
Clinical Manifestations ◽  
Classification Systems ◽  
University Teaching ◽  
Cell Disease ◽  
Tertiary Teaching ◽  
Musculoskeletal Manifestations

Aims Sickle cell disease (SCD) is an autosomal recessive inherited condition that presents with a number of clinical manifestations that include musculoskeletal manifestations (MM). MM may present differently in different individuals and settings and the predictors are not well known. Herein, we aimed at determining the predictors of MM in patients with SCD at the University Teaching Hospital, Lusaka, Zambia. Methods An unmatched case-control study was conducted between January and May 2019 in children below the age of 16 years. In all, 57 cases and 114 controls were obtained by systematic sampling method. A structured questionnaire was used to collect data. The different MM were identified, staged, and classified according to the Standard Orthopaedic Classification Systems using radiological and laboratory investigations. The data was entered in Epidata version 3.1 and exported to STATA 15 for analysis. Multiple logistic regression was used to determine predictors and predictive margins were used to determine the probability of MM. Results The cases were older median age 9.5 (interquartile range (IQR) 7 to 12) years compared to controls 7 (IQR 4 to 11) years; p = 0.003. After multivariate logistic regression, increase in age (adjusted odds ratio (AOR) = 1.2, 95% confidence interval (CI) 1.04 to 1.45; p = 0.043), increase in the frequency of vaso-occlusive crisis (VOC) (AOR = 1.3, 95% CI 1.09 to 1.52; p = 0.009) and increase in percentage of haemoglobin S (HbS) (AOR = 1.18, 95% CI 1.09 to 1.29; p < 0.001) were significant predictors of MM. Predictive margins showed that for a 16-year-old the average probability of having MM would be 51 percentage points higher than that of a two-year-old. Conclusion Increase in age, frequency of VOC, and an increase in the percentage of HbS were significant predictors of MM. These predictors maybe useful to clinicians in determining children who are at risk. Cite this article: Bone Joint Open 2020;1-6:175–181.

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