Nomogram predicting the risk of disease progression within 2 years in diabetic patients at high risk of developing diabetic kidney disease
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Nomogram predicting the risk of disease progression within 2 years in diabetic patients at high risk of developing diabetic kidney disease
Journal of Clinical Ultrasound in MedicineVol. 25, Issue 12, (2023)
作者机构:
1. 上海市浦东新区光明中医医院超声科
2. 上海市浦东新区老年医院党委办公室
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基金信息:
DOI:
CLC:
Published:2023,
Published Online:2 January 2024,
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Nomogram predicting the risk of disease progression within 2 years in diabetic patients at high risk of developing diabetic kidney disease. [J]. Journal of Clinical Ultrasound in Medicine 25(12).(2023)
DOI:
Nomogram predicting the risk of disease progression within 2 years in diabetic patients at high risk of developing diabetic kidney disease. [J]. Journal of Clinical Ultrasound in Medicine 25(12).(2023)DOI:
Nomogram predicting the risk of disease progression within 2 years in diabetic patients at high risk of developing diabetic kidney disease
0.05)。基于这四项指标建立的列线图预测模型具有较好的区分度[曲线下面积(area under the curve
AUC):0.783]
其预测准确性高于各预测因子单独预测的AUC(P<0.05)。此外
该列线图预测DKD进展的概率与实际发生率的一致性较好(χ2
=6.392
P=0.
592)
且具有良好的净收益
表明其在临床决策方面具有良好的应用价值。结论 本研究建立了包含四项常见指标的列线图预测模型
用于识别2年内可能出现进展的高危DKD患者
从而在尿微量白蛋白升高前的“亚临床”阶段即实施早期干预
有望延缓甚至阻止高危患者进一步进展为DKD
Abstract
Objective To establish a nomogram based on the risk model of diabetic kidney disease (DKD) proposed by National Health Commission Key Laboratory of Hormones and Development
in order to identify high-risk DKD patients who may experience progression within two years. Methods This study was a prospective cohort study that selected patients with type 2 diabetes mellitus who met the high-risk criteria for DKD and followed them for two years. Patients who experienced DKD progression during the follow-up period were defined as the DKD group
while those who did not were defined as the non-DKD group. Clinical baseline data and ultrasound indicators of the selected patients were analyzed using uni- and multi-variate Cox regression analysis
and a nomogram model was established to predict the risk of disease progression in high-risk DKD patients within two years. Results By the end of the follow-up
there were 63 patients in the DKD group and 308 patients in the non-DKD group. Survival analysis showed that the proportion of high-risk DKD patients who experienced progression within 2 years was 16.98%. Multivariate Cox regression analysis found that the duration of diabetes
interlobar resistance index
and the presence of diabetic retinopathy and hypertension were independent factors influencing disease progression in high-risk DKD patients within 2 years (all P
<
0.05). The nomogram model based on these four indicators had good discrimination (area under the curve
AUC: 0.783)
and its predictive accuracy was higher than that of each individual predictor alone (P
<
0.05). In addition
the probability of DKD progression predicted by the nomogram was consistent with the actual incidence (χ
2
=6.392
P=0.592)
and it had a good net benefit
indicating its good clinical application value in decision-making. Conclusion This study established a nomogram incorporating four common indicators to identify high-risk DKD patients who may progress within two years
enabling early intervention during the subclinical stage before urinary microalbuminuria elevation. This nomogram had the potential to delay or even prevent high-risk patients from further progressing to DKD.
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Related Institution
兰州大学第一临床医学院
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