Magnesium Deficiency Questionnaire: A New Non-Invasive Magnesium Deficiency Screening Tool Developed Using Real-World Data from Four Observational Studies

Due to the high estimated prevalence of magnesium deficiency, there is a need for a rapid, non-invasive assessment tool that could be used by patients and clinicians to confirm suspected hypomagnesemia and substantiate laboratory testing. This study analyzed data from four large observational studie...

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Bibliographic Details
Published in:Nutrients 2020-07, Vol.12 (7), p.2062
Main Authors: Orlova, Svetlana, Dikke, Galina, Pickering, Gisele, Konchits, Sofya, Starostin, Kirill, Bevz, Alina
Format: Article
Language:English
Subjects:
Adolescent
Adult
Correlation analysis
Correlation coefficient
Correlation coefficients
Data Analysis
Diabetes
Diagnostic systems
Female
Hormone replacement therapy
hormone-related conditions
Humans
Hypomagnesemia
Laboratories
Laboratory tests
Life Sciences
Magnesium
Magnesium - blood
Magnesium Deficiency - blood
Magnesium Deficiency - diagnosis
Magnesium Deficiency - epidemiology
Magnesium Deficiency - prevention & control
magnesium deficiency questionnaire
Mass Screening - methods
Observational studies
Observational Studies as Topic
PMS
Pregnancy
Premenstrual syndrome
Prevalence
Questionnaires
ROC Curve
Russia - epidemiology
Sensitivity analysis
Statistical analysis
Surveys and Questionnaires
Womens health
Young Adult
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Summary:Due to the high estimated prevalence of magnesium deficiency, there is a need for a rapid, non-invasive assessment tool that could be used by patients and clinicians to confirm suspected hypomagnesemia and substantiate laboratory testing. This study analyzed data from four large observational studies of hypomagnesemia in pregnant women and women with hormone-related conditions across Russia. Hypomagnesemia was assessed using a 62-item magnesium deficiency questionnaire (MDQ-62) and a serum test. The diagnostic utility (sensitivity/specificity) of MDQ-62 was analyzed using area under the receiver operating characteristic curve (AUROC). A logistic regression model was applied to develop a shorter, optimized version of MDQ-62. A total of 765 pregnant women and 8836 women with hormone-related conditions were included in the analysis. The diagnostic performance of MDQ-62 was "fair" (AUROC = 0.7-0.8) for women with hormone-related conditions and "poor" for pregnant women (AUROC = 0.6-0.7). The optimized MDQ-23 (23 questions) and MDQ-10 (10 questions) had similar AUROC values; for all versions of the questionnaire, there was a significant negative correlation between score and changes in total serum magnesium levels ( < 0.0001 for all comparisons; correlation coefficients ranged from -0.1667 to -0.2716). This analysis confirmed the value of MDQ in identifying women at risk of hypomagnesemia.
ISSN:2072-6643
2072-6643
DOI:10.3390/nu12072062