Risk factors of left ventricular hypertrophy for chronic kidney disease patients and construction of a predictive model
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摘要:
目的 构建慢性肾脏病(CKD)患者左心室肥厚(LVH)的风险预测模型,评价其临床应用价值。 方法 收集2018年1月—2022年8月间南通大学附属如皋医院收治的302例CKD Ⅲ~Ⅴ期患者的临床资料, 将患者按随机数字表法分为建模组(200例)与验证组(102例)。采用logistic回归分析研究LVH的危险因素并构建列线图模型,通过受试者工作特征曲线与校正曲线评价模型的预测能力。 结果 CKD患者LVH发生率为37.4%(113/302)。高龄(OR=1.054,95% CI: 1.020~1.089, P=0.002)、心血管病史(OR=5.826,95% CI: 2.263~15.003, P < 0.001)、CKD Ⅴ期(OR=5.831, 95% CI: 2.142~15.873, P=0.009)、收缩压升高(OR=1.019, 95% CI: 1.002~1.036, P=0.025)和高血磷(OR=1.109, 95% CI: 1.029~1.195, P=0.007)均是LVH的独立风险因素。基于上述因素构建预测模型,建模组与验证组AUC分别为0.850(95% CI: 0.796~0.904)和0.792(95% CI: 0.707~0.877)。校正曲线显示模型对LVH具有较好的预测能力。 结论 基于年龄、心血管疾病史、CKD分期、收缩压和血磷的列线图模型为识别高LVH风险的CKD患者提供了一项简便、有效的工具。 Abstract:Objective To construct a predictive model for assessing the risk of left ventricular hypertrophy (LVH) in patients with chronic kidney disease (CKD) and evaluate its clinical application value. Methods The clinical data of 302 patients with stage Ⅲ-Ⅴ CKD, who were treated at Rugao Hospital Affiliated to Nantong University from January 2018 to August 2022 were collected. Patients were randomly divided into a modeling group (n=200) and a validation group (n=102) based on their ID number. Logistic regression was used to determine risk factors for LVH, and a nomogram model was constructed. The predictive ability of the model was evaluated by receiver operating characteristic curve and correction curve. Results The incidence of LVH in CKD patients was 37.4% (113/302). Older age (OR=1.054, 95% CI: 1.020-1.089, P=0.002), cardiovascular history (OR=5.826, 95% CI: 2.263-15.003, P < 0.001), CKD Ⅴ stage (OR=5.831, 95% CI: 2.142-15.873, P=0.009), elevated systolic blood pressure (OR=1.019, 95% CI: 1.002-1.036, P=0.025) and hyperphosphatemia (OR=1.109, 95% CI: 1.029-1.195, P=0.007) were independent risk factors for LVH. The prediction model of LVH was constructed based on the above factors, and had AUC of 0.850 (95% CI: 0.796-0.904) in the modeling group and 0.792 (95% CI: 0.707-0.877) in validation group. The calibration curve showed that the nomogram model exhibits good predictive ability for LVH. Conclusion The nomogram model, which is based on age, history of cardiovascular disease, CKD stage, systolic blood pressure, and blood phosphorus, provides clinicians a simple and effective tool to identify CKD patients with high risk of LVH. -
Key words:
- Chronic kidney disease /
- Left ventricular hypertrophy /
- Risk factors /
- Nomogram /
- Predictive model
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表 1 建模组和验证组慢性肾脏疾病患者基线资料比较
Table 1. Comparisons of baseline characteristics of chronic kidney disease patients between the modeling group and the validation group
基线特征 总计(n=302) 建模组(n=200) 验证组(n=102) 统计量 P值 年龄(x±s, 岁) 57.4±11.6 57.9±11.7 56.5±11.2 0.998a 0.319 性别[例(%)] 1.136b 0.286 女性 141(46.7) 89(44.5) 52(51.0) 男性 161(53.3) 111(55.5) 50(49.0) BMI(x±s) 22.9±2.6 23.1±2.6 22.6±2.4 1.621a 0.106 基础疾病[例(%)] 糖尿病 139(46.0) 95(47.5) 44(43.1) 0.518b 0.472 高血压 86(28.5) 57(28.5) 29(28.4) 0.001b 0.990 COPD 47(15.6) 30(15.0) 17(16.7) 0.143b 0.706 CKD分期[例(%)] 0.800b 0.670 Ⅲ 181(59.9) 120(60.0) 61(59.8) Ⅳ 76(25.2) 48(24.0) 28(27.5) Ⅴ 45(14.9) 32(16.0) 13(12.7) eGFR[x±s,mL/(min·1.73 m2)] 32.6±14.6 31.9±15.1 33.8±13.5 0.390a 0.697 SBP(x±s,mmHg) 134.4±21.2 135.3±22.6 132.5±18.0 1.087a 0.278 DBP(x±s,mmHg) 81.8±11.2 81.7±11.7 82.1±10.4 0.291a 0.771 尿白蛋白[M(P25, P75),g/24 h] 1.09(0.51,1.56) 1.22(0.60,1.56) 1.06(0.52,1.41) 1.632c 0.104 血清白蛋白(x±s,g/L) 40.2±4.0 39.9±4.2 40.8±3.8 1.818a 0.070 尿酸(x±s,mg/dL) 6.6±1.9 6.6±1.9 6.2±1.8 1.791a 0.079 血红蛋白(x±s,g/L) 117.6±21.0 116.1±21.1 120.8±21.6 1.816a 0.070 血清总胆固醇(x±s,mg/dL) 203.4±46.1 204.0±47.9 202.2±42.6 0.320a 0.749 C反应蛋白(x±s,mg/L) 1.70±0.32 1.65±0.27 1.68±0.42 0.751a 0.453 iPTH[M(P25, P75),pg/mL] 55.0(43.0,108.0) 54.0(43.0,103.0) 55.0(43.0,86.0) -0.680c 0.496 血钙(x±s,mmol/L) 2.27±0.28 2.27±0.28 2.26±0.19 0.324a 0.746 血磷[M(P25, P75),mmol/L] 1.20(1.02,1.44) 1.19(1.01,1.44) 1.20(1.03,1.45) 0.906c 0.366 血钠(x±s,mmol/L) 136.2±4.9 135.9±5.0 136.8±4.8 1.499a 0.135 血钾[M(P25, P75),mmol/L] 4.5(4.0,5.2) 4.5(4.0,5.1) 4.6(4.2,5.3) 0.972c 0.332 LVH[例(%)] 0.044b 0.834 否 189(62.6) 126(63.0) 63(61.8) 是 113(37.4) 74(37.0) 39(38.2) 注:a为t值,b为χ2值,c为Z值。1 mmHg=0.133 kPa。 表 2 CKD患者LVH风险因素的logistic回归分析(建模组)
Table 2. Logistic regression analysis of risk factors for LVH in CKD patients (from the training group)
变量 单因素logistic分析 多因素logistic分析 OR(95% CI) P值 OR(95% CI) P值 年龄 1.073(1.042~1.105) < 0.001 1.054(1.020~1.089) 0.002 性别(男性) 0.640(0.360~1.137) 0.128 BMI 1.025(0.920~1.142) 0.653 糖尿病史 0.863(0.487~1.529) 0.614 心血管疾病史 5.261(2.327~11.893) < 0.001 5.826(2.263~15.003) < 0.001 COPD 2.025(0.936~4.381) 0.073 CKD分期 Ⅳ期 2.093(1.031~4.246) 0.041 2.196(0.967~4.984) 0.060 Ⅴ期 7.890(3.401~18.302) < 0.001 5.831(2.142~15.873) 0.009 SBP 1.017(1.004~1.031) 0.010 1.019(1.002~1.036) 0.025 DBP 0.991(0.956~1.016) 0.457 尿白蛋白 0.912(0.659~1.261) 0.576 血清白蛋白 0.422(0.206~0.863) 0.018 0.752(0.280~2.025) 0.573 尿酸 1.072(0.921~1.246) 0.370 血红蛋白 0.791(0.684~0.916) 0.002 0.916(0.742~1.130) 0.412 血清总胆固醇 0.999(0.993~1.005) 0.771 C反应蛋白 1.300(1.038~1.629) 0.022 1.047(0.777~1.411) 0.762 iPTH 1.016(1.011~1.022) 0.007 1.024(0.898~1.168) 0.724 血钙 0.838(0.356~1.970) 0.685 血磷 1.128(1.054~1.208) < 0.001 1.109(1.029~1.195) 0.007 血钠 1.092(0.806~1.479) 0.570 血钾 1.008(0.998~1.018) 0.105 注:变量赋值如下,性别(女性=0, 男性=1),糖尿病(否=0, 是=1),心血管疾病(否=0, 是=1),COPD(否=0, 是=1),CKD分期(Ⅲ期=1, Ⅳ期=2,Ⅴ期=3),其余变量均为连续型变量, 均以实际值赋值。 -
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