A. Fothergill, Krista S. Crider, Christina B. Johnson, Mical P Raj, Heather M. Guetterman, Beena Bose, C. Rose, Y. Qi, Jennifer L Williams, R. Kuriyan, Wesley Bonam, J. Finkelstein
{"title":"Comparison of Anemia Screening Methods Using Paired Venous Samples in Women of Reproductive Age in Southern India.","authors":"A. Fothergill, Krista S. Crider, Christina B. Johnson, Mical P Raj, Heather M. Guetterman, Beena Bose, C. Rose, Y. Qi, Jennifer L Williams, R. Kuriyan, Wesley Bonam, J. Finkelstein","doi":"10.1093/cdn/nzac060.025","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nAnemia is an important public health problem, and accurate estimates may inform policy and programs. Although hemoglobin assessment of venous blood via automated hematology analyzers (AHA) is recommended, most population-based surveys are based on analysis of capillary blood via portable hemoglobinometers to estimate anemia prevalence.\n\n\nOBJECTIVE\nTo evaluate screening methods for hemoglobin and anemia assessment using paired venous samples.\n\n\nDESIGN\nParticipants were women of reproductive age (15-40y) who were not pregnant or lactating. Paired venous whole blood samples (n = 896) were analyzed for hemoglobin (Hb) via portable hemoglobinometer (HemoCue 301) and Coulter Counter AHA. Anemia and severe anemia were defined as Hb <12.0 and <8.0 g/dL, respectively. Bland-Altman methods were used to assess level of agreement for Hb results (mean difference, standard deviation of differences, limits of agreement). Diagnostic accuracy parameters (sensitivity, specificity, positive predictive value, negative predictive value, accuracy) were calculated to evaluate HemoCue performance compared to the AHA reference, overall and by sociodemographic, nutritional, and metabolic characteristics.\n\n\nRESULTS\nThe estimated anemia prevalence was significantly lower via HemoCue vs. AHA (36.3% vs. 41.6%; p-value <0.0001). The HemoCue had 84.4% accuracy for anemia screening and 98.8% for severe anemia, compared to the AHA reference. The HemoCue had 74.8% sensitivity and 91.2% specificity, compared to AHA. HemoCue sensitivity was higher in WRA with iron deficiency (SF<15.0 μg/L 81.6% vs. SF ≥15.0 μg/L: 41.3%), and lower in WRA with metabolic risk factors, including overweight (BMI≥25.0 kg/m2; 63.9% vs. 78.8%), or elevated CRP (CRP>1.0 mg/L: 67.2% vs. ≤1.0 mg/L: 82.9%), trunk fat (TF>35%: 62.7% vs. ≤35%: 80.1), or whole-body fat (WBF >35%: 63.9% vs. ≤35%: 80.3%).\n\n\nCONCLUSION\nFindings suggest that women with anemia may be incorrectly identified as not anemic via portable hemoglobinometer, and the anemia prevalence may be underestimated at the population level. Registration number: NCT04048330.","PeriodicalId":22788,"journal":{"name":"The Journal of Nutrition Health and Aging","volume":"111 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Nutrition Health and Aging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/cdn/nzac060.025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND
Anemia is an important public health problem, and accurate estimates may inform policy and programs. Although hemoglobin assessment of venous blood via automated hematology analyzers (AHA) is recommended, most population-based surveys are based on analysis of capillary blood via portable hemoglobinometers to estimate anemia prevalence.
OBJECTIVE
To evaluate screening methods for hemoglobin and anemia assessment using paired venous samples.
DESIGN
Participants were women of reproductive age (15-40y) who were not pregnant or lactating. Paired venous whole blood samples (n = 896) were analyzed for hemoglobin (Hb) via portable hemoglobinometer (HemoCue 301) and Coulter Counter AHA. Anemia and severe anemia were defined as Hb <12.0 and <8.0 g/dL, respectively. Bland-Altman methods were used to assess level of agreement for Hb results (mean difference, standard deviation of differences, limits of agreement). Diagnostic accuracy parameters (sensitivity, specificity, positive predictive value, negative predictive value, accuracy) were calculated to evaluate HemoCue performance compared to the AHA reference, overall and by sociodemographic, nutritional, and metabolic characteristics.
RESULTS
The estimated anemia prevalence was significantly lower via HemoCue vs. AHA (36.3% vs. 41.6%; p-value <0.0001). The HemoCue had 84.4% accuracy for anemia screening and 98.8% for severe anemia, compared to the AHA reference. The HemoCue had 74.8% sensitivity and 91.2% specificity, compared to AHA. HemoCue sensitivity was higher in WRA with iron deficiency (SF<15.0 μg/L 81.6% vs. SF ≥15.0 μg/L: 41.3%), and lower in WRA with metabolic risk factors, including overweight (BMI≥25.0 kg/m2; 63.9% vs. 78.8%), or elevated CRP (CRP>1.0 mg/L: 67.2% vs. ≤1.0 mg/L: 82.9%), trunk fat (TF>35%: 62.7% vs. ≤35%: 80.1), or whole-body fat (WBF >35%: 63.9% vs. ≤35%: 80.3%).
CONCLUSION
Findings suggest that women with anemia may be incorrectly identified as not anemic via portable hemoglobinometer, and the anemia prevalence may be underestimated at the population level. Registration number: NCT04048330.