Validation of Self-Reported Parental Sickle Cell Status
| Autor: | Eneh Chizoma I, Nwankwo Chinwoke A, Agunyenwa Chioma U |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | International Journal of Current Research and Review. 15:01-09 |
| ISSN: | 0975-5241 2231-2196 |
| Popis: | Introduction: Parents with heterozygous sickle cell status [haemoglobin AS (HbAS) or sickle cell trait (SCT)] may produce sickle cell anaemia (SCA) patients. Proper diagnosis and correct reporting of sickle cell status is, therefore, necessary to guide genetic counselling of prospective partners/parents. However, misreporting of SCD status is common in adult population leading to increase disease incidence. Self-reported sickle cell status may be validated by comparing the reports with more reliable and more sensitive diagnostic methods such as high-performance lipid chromatography (HPLC) if not genetic studies. Aims/Objectives: To determine the accuracy of self-reported parental genotype status by comparing self-reported and HPLC-determined genotypes. Methodology: This was a hospital-based, cross-sectional analytical study. Participants were consecutively enrolled at clinic visits, socio-demographic as well as self-reported SCD status were obtained and documented in a pre-tested questionnaire, HPLC analysis of SCD status was conducted and documented. Data was anlyzed using Statistical Package for the Social Sciences (SPSS Version 21). Result: The post-marital reports were more sensitive, more accurate and had higher positive predictive value (all 100%) than the premarital reports. The premarital reports were more specific than sensitive and correctly predicted the truly positive (AS/AS) more than the truly negative (AA/AS, AA/AA) couples. The premarital reports were less accurate than the post marital reports. Conclusions: Post marital self-reports are more accurate than premarital reports. Knowledge of personal sickle cell status seems marred by poor access to proper diagnostic tools. HPLC is useful for ambiguous reports. |
| Databáze: | OpenAIRE |
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