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. 2023 Nov 13;109(4):1012–1032. doi: 10.1210/clinem/dgad660

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© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 8. — HbA1c-stratified predicted probability of anemia stratified by the severity of albuminuria using categorical classifications and nonlinear change of estimated glomerular filtration rate with 95% confidence intervals. (A) Predicted probability of anemia after adjustment for age, sex, comorbidities, and medications stratified by the categories for estimated glomerular filtration rate based on the severity of albuminuria among individuals with HbA1c < 7%. (B) Predicted probability of anemia after adjustment for age, sex, comorbidities, and medications, along with nonlinear estimated glomerular filtration rate based on the severity of albuminuria among individuals with HbA1c < 7%. (C) Predicted probability of anemia after adjustment for age, sex, comorbidities, and medications stratified by the categories for estimated glomerular filtration rate based on the severity of albuminuria among individuals with HbA1c ≥ 7%. (D) Predicted probability of anemia after adjustment for age, sex, comorbidities, and medications, along with nonlinear estimated glomerular filtration rate based on the severity of albuminuria among individuals with HbA1c ≥ 7%. * P-value < .05, ** P-value < .01, *** P-value < .001, n.s., not statistically significant. All data are expressed point estimates with a 95% confidence interval. Differences in estimated glomerular filtration rate among the same estimated glomerular filtration rate category were controlled in both models.Abbreviations: HbA1c, hemoglobin A1c.