| Literature DB >> 26977274 |
Abdel Badih El Ariss1, Mohamad Younes2, Jad Matar3, Zeina Berjaoui4.
Abstract
OBJECTIVE: The objective of this study was to assess the prevalence, gender differences, and time trends of Sickle Cell Trait in the Southern Suburb of Beirut, Lebanon, as well as to highlight the importance of screening for Sickle Cell Trait carriers in this population. Another objective was to describe a new screening technique for Sickle Cell Trait carriers.Entities:
Year: 2016 PMID: 26977274 PMCID: PMC4771139 DOI: 10.4084/MJHID.2016.015
Source DB: PubMed Journal: Mediterr J Hematol Infect Dis ISSN: 2035-3006 Impact factor: 2.576
Figure 1Blood smear of a patient with Sickle Cell Disease.
Figure 2Sickling test of a patient with Sickle Cell Trait.
Distribution of Sickle Cell Trait carriers.
| Total number of sickle cell trait carriers | Base | Prevalence of sickle cell trait carriers | 95% confidence interval | ||
|---|---|---|---|---|---|
|
| |||||
| 899 | 184,105 | 0.49% | 0.46% – 0.52% | ||
|
| |||||
| 108 | 14,320 | 0.75% | 0.61% – 0.90% | ||
| 87 | 14,460 | 0.60% | 0.48% – 0.73% | ||
| 60 | 14,855 | 0.40% | 0.30% – 0.51% | ||
| 70 | 14,500 | 0.48% | 0.37% – 0.60% | ||
| 54 | 13,426 | 0.40% | 0.30% – 0.51% | ||
| 65 | 15,425 | 0.42% | 0.32% – 0.52% | ||
| 55 | 14,565 | 0.38% | 0.28% – 0.48% | ||
| 58 | 15,526 | 0.37% | 0.28% – 0.47% | ||
| 61 | 15,096 | 0.40% | 0.30% – 0.51% | ||
| 62 | 14,304 | 0.43% | 0.33% – 0.54% | ||
| 90 | 13,760 | 0.65% | 0.52% –0.79% | ||
| 65 | 12,526 | 0.52% | 0.39% – 0.65% | ||
| 64 | 11,342 | 0.56% | 0.43% – 0.70% | ||
|
| |||||
| 325 | 92,053 | 0.35% | 0.32% – 0.39% | ||
| 574 | 92,053 | 0.62% | 0.57% – 0.67% | ||
The base was divided by 2 to get the estimate for both males and females and the numbers were rounded up.
Figure 3Prevalence of Sickle Cell Trait carriers per year.
Distribution of Sickle Cell Trait carriers by gender and year.
| Male | Female | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||
| Variables | Total number of sickle cell trait carriers | Base | Prevalence of sickle cell trait carriers | 95% confidence interval | Total number of sickle cell trait carriers | Base | Percentage of sickle cell trait carriers | 95% confidence interval | p value | |
|
| ||||||||||
|
| ||||||||||
| 2002 | 39 | 7,160 | 0.54% | 0.37% – 0.72% | 69 | 7,160 | 0.96% | 0.73% – 1.12% | 0.004 | |
| 2003 | 32 | 7,230 | 0.44% | 0.29% – 0.60% | 55 | 7,230 | 0.76% | 0.56% – 0.96% | 0.01 | |
| 2004 | 26 | 7,428 | 0.35% | 0.22% – 0.48% | 34 | 7,428 | 0.46% | 0.30% – 0.61% | 0.30 | |
| 2005 | 23 | 7,250 | 0.32% | 0.19% – 0.45% | 47 | 7,250 | 0.65% | 0.46% – 0.83% | 0.004 | |
| 2006 | 20 | 6,713 | 0.30% | 0.17% – 0.43% | 34 | 6,713 | 0.51% | 0.34% – 0.68% | 0.06 | |
| 2007 | 20 | 7,713 | 0.26% | 0.15% – 0.37% | 45 | 7,713 | 0.58% | 0.41% – 0.75% | 0.002 | |
| 2008 | 22 | 7,283 | 0.30% | 0.18% – 0.43% | 33 | 7,283 | 0.45% | 0.30% – 0.61% | 0.14 | |
| 2009 | 12 | 7,763 | 0.15% | 0.07% – 0.24% | 46 | 7,763 | 0.59% | 0.42% – 0.76% | <0.0001 | |
| 2010 | 24 | 7,548 | 0.32% | 0.19% – 0.45% | 37 | 7,548 | 0.49% | 0.33% – 0.65% | 0.09 | |
| 2011 | 23 | 7,152 | 0.32% | 0.19% – 0.45% | 39 | 7,152 | 0.55% | 0.38% – 0.72% | 0.04 | |
| 2012 | 38 | 6,880 | 0.55% | 0.38% – 0.72% | 52 | 6,880 | 0.76% | 0.55% – 0.96% | 0.14 | |
| 2013 | 22 | 6,263 | 0.35% | 0.21% – 0.50% | 43 | 6,263 | 0.69% | 0.48% – 0.89% | 0.009 | |
| 2014 | 24 | 5,671 | 0.42% | 0.25% – 0.59% | 40 | 5,671 | 0.71% | 0.49% – 0.92% | 0.04 | |
The base was divided by 2 to get the estimate for both males and females and the numbers were rounded up.
Figure 4Distribution of Sickle Cell Trait carriers by sex and year.
Average of MCV per year and gender.
| MCV (mean ±sd) | Males MCV (mean ± sd) | Females MCV (mean ± sd) | P value | |
|---|---|---|---|---|
|
| ||||
| 84.3 (±7.6) | 84.7(±7.4) | 84.1 (±7.8) | 0.24 | |
|
| ||||
| 82.6 (±8.3) | 85.4 (±8.0) | 81.1 (±8.1) | 0.01 | |
| 81.9 (±6.6) | 81.2 (±8.4) | 82.3 (±5.4) | 0.45 | |
| 83.5 (±8.0) | 86.3 (±8.5) | 81.4 (±7.0) | 0.02 | |
| 82.9 (±7.3) | 83.5 (±9.2) | 82.7 (±6.3) | 0.69 | |
| 81.8 (±8.3) | 83.6 (±6.4) | 80.7 (±9.1) | 0.22 | |
| 83.7 (±7.2) | 83.7 (±5.6) | 83.7 (±7.9) | 0.99 | |
| 85.3 (±5.7) | 86.3 (±6.6) | 84.6 (±5.1) | 0.28 | |
| 85.7 (±7.4) | 86.8 (±4.4) | 85.4 (±8.0) | 0.56 | |
| 84.7 (±7.8) | 83.6 (±7.9) | 85.4 (±7.8) | 0.39 | |
| 86.9 (±9.2) | 84.7 (±7.9) | 88.3 (±9.7) | 0.14 | |
| 86.2 (±6.5) | 86.1 (±5.9) | 86.3 (±7.0) | 0.84 | |
| 85.2 (±8.2) | 84.2 (±6.0) | 85.7 (±9.1) | 0.50 | |
| 86.9 (±6.1) | 86.7 (±7.5) | 87.0 (±5.2) | 0.87 | |
Demographic and hematological parameters for 223 cases with positive HbS screening.
| Variables | ||
|---|---|---|
|
| ||
| Total sample | n=223 | |
|
| ||
| Male | 91 (40.8%) | |
| Female | 132 (59.2%) | |
|
| ||
| Mean (±sd) | 24.9 (±15.6) | |
|
| ||
| Mean (±sd) | 4.7 (±0.6) | |
|
| ||
| Mean (±sd) | 12.9 (±7.6) | |
|
| ||
| Mean (±sd) | 38.1 (±5.1) | |
|
| ||
| Mean (±sd) | 80.6 (±9.1) | |
|
| ||
| Mean (±sd) | 26.3 (±3.1) | |
|
| ||
| Mean (±sd) | 32.5 (±1.1) | |
|
| ||
| Mean (±sd) | 57.3 (±7.6) | |
|
| ||
| Mean (±sd) | 2.8 (±0.5) | |
|
| ||
| Mean (±sd) | 0.6 (±1.8) | |
|
| ||
| Mean (±sd) | 38.8 (±5.3) | |
Demographic and hematological parameters for 223 cases with positive HbS screening, stratified by gender.
| Variables | Male | Female | p value | |
|---|---|---|---|---|
| Total sample | n=91 | n=132 | ||
| Mean (±sd) | 22.1 (17.0) | 26.9 (14.3) | 0.03 | |
| Mean (±sd) | 5.0 (±0.6) | 4.6 (±0.5) | <0.0001 | |
| Mean (±sd) | 13.1 (±2.0) | 12.7 (±9.7) | 0.75 | |
| Mean (±sd) | 40.2 (±5.7) | 36.6 (±4.0) | <0.0001 | |
| Mean (±sd) | 81.1 (±9.1) | 80.2 (±9.0) | 0.45 | |
| Mean (±sd) | 26.5 (±3.5) | 26.2 (±2.8) | 0.42 | |
| Mean (±sd) | 32.6 (±1.2) | 32.5 (±1.0) | 0.34 | |
| Mean (±sd) | 56.9 (±8.1) | 57.6 (±7.2) | 0.50 | |
| Mean (±sd) | 2.9 (±0.5) | 2.7 (±0.5) | <0.0001 | |
| Mean (±sd) | 0.5 (±1.5) | 0.6 (±2.1) | 0.72 | |
| Mean (±sd) | 39.2 (±6.8) | 38.6 (±3.9) | 0.44 |