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Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition) ›› 2020, Vol. 14 ›› Issue (06): 473-479. doi: 10.3877/cma.j.issn.1674-1358.2020.06.006

Special Issue:

• Research Article • Previous Articles     Next Articles

Establishment and analysis of the prognostic nomogram for sepsis-associated acute kidney injury in short-term

Hongwen Zhou1, Jianjun Liu1, Mingcui Liao1, Guanghong Jiang2, Lei Liu3,()   

  1. 1. Department of Nephrology, Liangping District People’s Hospital, Chongqing 405200, China
    2. ICU, Liangping District People’s Hospital, Chongqing 405200, China
    3. Department of Nephrology, Central Hospital of Three Gorges, Chongqing 404000, China
  • Received:2019-12-03 Online:2020-12-25 Published:2020-12-25
  • Contact: Lei Liu

Abstract:

Objective

To investigate the influencing factors of short-term adverse prognosis in patients with sepsis complicated with acute kidney injury (SA-AKI), and to establish a personalized line chart model to predict the short-term adverse prognosis risk of patients with SA-AKI.

Methods

Total of 363 patients with sepsis who were admitted to the Emergency Intensive Care Unit of Chongqing Liangping District People’s Hospital from January 1st, 2017 to June 1st, 2019 were collected; Follow-ups were conducted by telephone or outpatient review, and patients were divided into survival group (251 cases) and death group (112 cases) based on their prognosis within 30 days. Single-factor and multi-factor Logistic regression were used to analyze the influencing factors of SA-AKI patients’ death within 30-day, and R software was used to establish a line chart model to predict the short-term adverse prognosis of SA-AKI.

Results

Univariate analysis showed that age (Z =-3.268, P = 0.005), fungal infection (χ2 = 12.318, P = 0.002), APACHE Ⅱ score (t = 9.587, P = 0.001), SOFA score (t = 6.328, P = 0.001), AKI failure to diagnose in time (χ2 = 12.587, P = 0.001), antithrombin Ⅲ (Z =-8.332, P = 0.001) and AKI (Z =-7.009, P = 0.00) stage may be associated risk factors for death in patients with acute concurrent renal injury in sepsis within 30 d. Multivariate Logistic regression analysis showed that age (65-79 years old: P = 0.041, OR = 3.573, 95%CI: 1.054-12.112; > 79 years old: P = 0.028, OR = 3.681, 95%CI: 1.215-11.984), fungal infection (P = 0.018, OR = 4.684, 95%CI: 1.356-15.367), APACHEⅡ score (P = 0.001, OR = 1.265, 95%CI: 1.164-1.532), SOFA score (P = 0.001, OR = 1.291, 95%CI: 1.117-1.532), antithrombin-Ⅲ (60%~80%: P = 0.001, OR = 1.291, 95%CI: 1.117-1.532; < 60%: P = 0.001, OR = 15.329, 95%CI: 4.387-55.321), and AKI stage (2 period: P = 0.022, OR = 2.998, 95%CI: 1.039-8.325; 3 period: P = 0.001, OR = 9.367, 95%CI: 5.235-22.327) were all independent related factors for death within 30 days of patients with SA-AKI. The collinear map model validation showed that its initial consistency index (C-index) was 0.943; After 1 000 internal verifications of the model, the consistency index (C-index) was 0.945. The calibration curve showed that the collinear map model had a good differentiation and consistency, which could provide targeted guidance for prognosis evaluation of patients with SA-AKI.

Conclusions

This study was based on 6 independent influence factors including age, fungal infection, APACHE Ⅱ score, SOFA score, antithrombin-Ⅲ and AKI stage, to construct an individualized line map model to predict the concurrent KAI risk of patients with SA, which could accurately predict the risk of short-term adverse prognosis of patients with SA-AKI.

Key words: Sepsis, Acute kidney injury, Risk factors, Prognosis, Nomogram

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