| Literature DB >> 28439419 |
Anne M Andong1,2, Eveline D T Ngouadjeu3,4, Cavin E Bekolo5, Vincent S Verla1, Daniel Nebongo2, Yannick Mboue-Djieka2, Simeon-Pierre Choukem1,2,4.
Abstract
BACKGROUND: Sickle Cell Disease (SCD) is associated with chronic multisystem complications that significantly influence the quality of life (QOL) of patients early in their life. Although sub-Saharan Africa bears 75% of the global burden of SCD, there is a paucity of data on these complications and their effects on the QOL. We aimed to record these chronic complications, to estimate the QOL, and to identify the corresponding risk factors in patients with SCD receiving care in three hospitals in Cameroon.Entities:
Keywords: Cameroon; Chronic complications; Prevalence; Quality of life; Sickle cell disease
Year: 2017 PMID: 28439419 PMCID: PMC5399423 DOI: 10.1186/s12878-017-0079-7
Source DB: PubMed Journal: BMC Hematol ISSN: 2052-1839
Fig. 1Flow chart of the inclusion process
General characteristics of the study participants
| Characteristics | Number | Percent | |
|---|---|---|---|
| Gender | Females | 93 | 53.1 |
| Males | 82 | 46.9 | |
| Age (years) | 5–15 | 81 | 46.3 |
| ≥16 | 94 | 53.7 | |
| Education | None | 4 | 2.3 |
| Primary | 65 | 37.1 | |
| Secondary | 73 | 41.7 | |
| Tertiary | 33 | 18.9 | |
| Marital status | Single | 168 | 96.0 |
| Married | 7 | 4.0 | |
| Residence | Rural | 9 | 5.1 |
| Urban | 166 | 94.9 | |
| Employment Status | Unemployed | 155 | 88.6 |
| Employed | 19 | 10.9 | |
Chronic complications of sickle cell disease
| Complications | Number ( | Prevalence (%) |
|---|---|---|
| Ischemic complications | ||
| Refractive eye disorders | 47 | 26.9 |
| Avascular necrosis of the hip | 23 | 13.1 |
| Priapism | 15 | 18.3a |
| Stroke | 14 | 8.0 |
| Anemic complications | ||
| Heart disease | 46 | 26.2 |
|
| 43 | 24.6 |
|
| 12 | 6.9 |
| Infectious complications | ||
|
| 34 | 19.4 |
|
| 24 | 13.7 |
|
| 9 | 5.1 |
|
| ||
|
| 54 | 30.9 |
|
| 10 | 5.4 |
aThe denominator included males only (n = 82)
Fig. 2Box plot summarizing quality of life scores. Blue: physical component scores; Red mental component scores; Green: total SF-36 scores. Isolated points are outliers
Fig. 3Correlation matrix between the SF-36 components of quality of life score. The squares with scattered plots represent the areas and directions of correlation of the total scores and the specific scores
Multiple Linear regression models of factors associated with quality of life scores
|
|
|
|
|
|---|---|---|---|
| Total SF-36 Score, F(4, 105) | |||
| Age | −0.15 | −0.28 to −0.02 | 0.025 |
| Urban residence | 7.92 | 2.86 to 13.00 | 0.002 |
| Stroke | −4.85 | −8.76 to −0.94 | 0.015 |
| Avascular necrosis of the hip | −3.35 | −6.11 to −0.60 | 0.018 |
| Physical Component Score, F(4, 105) | |||
| Age | −0.25 | −0.43 to −0.07 | 0.007 |
| Stroke | −8.68 | −14.12 to −3.24 | 0.002 |
| Avascular necrosis of the hip | −4.63 | −8.45 to −0.80 | 0.018 |
| Chronic leg ulcer | −3.70 | −6.75 to −0.65 | 0.018 |
| Mental Component Score, F(4, 105) | |||
| Females | −2.46 | −4.78 to −0.14 | 0.038 |
| Urban residence | 8.29 | 2.76 to 13.80 | 0.004 |
| Gall stones | −4.02 | −7.70 to −0.34 | 0.033 |
SF Short form, F regression analysis significance