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ORIGINAL RESEARCH

The Ratio of Serum Uric Acid to Glycosylated Haemoglobin as a Predictor of All-Mortality in Elderly Patients with Diabetic Foot Ulcers: A Longitudinal Cohort Study

, , , , , ORCID Icon, , & ORCID Icon show all
Pages 2779-2790 | Received 28 May 2023, Accepted 07 Sep 2023, Published online: 12 Sep 2023

Figures & data

Figure 1 Flowchart for selecting the study participants from the Foot Health Management Anonymous Database.

Figure 1 Flowchart for selecting the study participants from the Foot Health Management Anonymous Database.

Table 1 Baseline Clinical Characteristics of Subjects

Figure 2 ROC analysis for the optimal cutoff value predicting the effect of UA or UA/HbA1c ratio on all-cause mortality.

Notes: The cutoff values for UA and UA/HbA1c were 372 μmol/L and 39.07 (μmol/L)/%, respectively. The AUC of UA was 0.681 (95% CI = 0.574–0.788, P = 0.001). The sensitivity and specificity of the UA cutoff values were 55.9% and 76.8%, respectively. The AUC of UA/HbA1c ratio was 0.742 (95% CI = 0.652–0.832, P < 0.001). The sensitivity and specificity of the UA/HbA1c cut-off values were 70.6% and 70.3%, respectively. Paired comparisons of ROC curves showed that the diagnostic efficacy of the UA/HbA1c ratio was greater than UA (P = 0.013).
Abbreviations: ROC, receiver operating characteristic curve; UA, uric acid; HbA1c, glycosylated hemoglobin; AUC, area under the curve.
Figure 2 ROC analysis for the optimal cutoff value predicting the effect of UA or UA/HbA1c ratio on all-cause mortality.

Table 2 Cox Regression Analysis Evaluating Risk Factors for All-Cause Mortality in Patients with DFUs

Figure 3 Forest plots showing the results of stratification analyses in subgroups.

Notes: Each stratification was adjusted for all factors, including all independent variables in the regression analysis, except for the stratification factor.
Abbreviations: HR, hazard ratio; CI, confidence interval.
Figure 3 Forest plots showing the results of stratification analyses in subgroups.

Figure 4 The cumulative incidence of all-cause mortality by HbA1c level.

Notes: Kaplan-Meier analysis showed a significant negative association between low HbA1c levels and the incidence rates of all-cause mortality after a follow-up of 32 months (log rank, P < 0.001); however, HbA1c was not a risk factor for all-cause mortality within a follow-up time of 32 months (log rank, P > 0.05). High-level HbA1c was defined as HbA1c level ≥ 6.5%, and low-level HbA1c was defined as HbA1c level < 6.5%.
Abbreviation: HbA1c, glycosylated hemoglobin.
Figure 4 The cumulative incidence of all-cause mortality by HbA1c level.

Figure 5 The cumulative incidence of all-cause mortality by UA level.

Notes: Kaplan-Meier analysis showed a significant positive association between high-level UA and the incidence rates of all-cause mortality (log-rank, P < 0.001). High-level UA referred to a serum UA concentration > 372 μmol/L, and low-level UA referred to a serum UA concentration ≤ 372 μmol/L.
Abbreviation: UA, uric acid.
Figure 5 The cumulative incidence of all-cause mortality by UA level.

Figure 6 The cumulative incidence of all-cause mortality by UA/HbA1c ratio level.

Notes: Kaplan-Meier analysis showed a significant positive association between a high UA/HbA1c ratio and the incidence rates of all-cause mortality (log-rank, P < 0.001). High-level UA/HbA1c ratio was defined as UA/HbA1c ratio > 39.07 (μmol/L)/%, and low-level UA/HbA1c ratio was defined as UA/HbA1c ratio ≤ 39.07 (μmol/L)/%.
Abbreviations: UA, uric acid; HbA1c, glycosylated hemoglobin.
Figure 6 The cumulative incidence of all-cause mortality by UA/HbA1c ratio level.

Table 3 Population Attributable Risk Proportion of All-Cause Mortality Associated with High UA and High UA/HbA1c Ratio

Data Sharing Statement

The People’s Hospital of Guangxi Zhuang Autonomous Region hereby solemnly makes the declaration that encrypts medical record data using data anonymity technology to safeguard patient privacy and advance clinical research while ensuring the reliability and accuracy of medical data. As a result, every medical record information collected from the Information Network Centre of the People’s Hospital of Guangxi Zhuang Autonomous Region’s information system is authentic and anonymous.