Diagnostic Validation of the Updated Pediatric Sepsis Biomarker Risk II for Acute Kidney Injury Prediction Model in Pediatric Septic Shock

被引:1
|
作者
Stanski, Natalja L. [1 ,2 ]
Zhang, Bin [3 ]
Cvijanovich, Natalie Z. [4 ]
Fitzgerald, Julie C. [5 ,6 ]
Bigham, Michael T. [7 ]
Jain, Parag N. [8 ,9 ]
Schwarz, Adam J. [10 ]
Lutfi, Riad [11 ]
Allen, Geoffrey L. [12 ]
Thomas, Neal J. [13 ]
Baines, Torrey [14 ]
Haileselassie, Bereketeab [15 ]
Weiss, Scott L. [16 ]
Atreya, Mihir R. [1 ,2 ]
Lautz, Andrew J. [1 ,2 ]
Zingarelli, Basilia [1 ,2 ]
Standage, Stephen W. [1 ,2 ]
Kaplan, Jennifer [1 ,2 ]
Goldstein, Stuart L. [2 ,17 ]
机构
[1] Cincinnati Childrens Hosp Med Ctr, Div Crit Care Med, Cincinnati, OH 45229 USA
[2] Univ Cincinnati, Coll Med, Dept Pediat, Cincinnati, OH USA
[3] Cincinnati Childrens Hosp Med Ctr, Div Biostat & Epidemiol, Cincinnati, OH USA
[4] UCSF Benioff Childrens Hosp Oakland, Div Pediat Crit Care Med, Oakland, CA USA
[5] Childrens Hosp Philadelphia, Div Crit Care Med, Philadelphia, PA USA
[6] Univ Penn, Perelman Sch Med, Dept Anesthesiol & Crit Care, Philadelphia, PA USA
[7] Akron Childrens Hosp, Div Crit Care Med, Akron, OH USA
[8] Texas Childrens Hosp, Baylor Coll Med, Div Crit Care Med, Houston, TX USA
[9] Baylor Coll Med, Houston, TX USA
[10] Childrens Hosp Orange Cty, Div Crit Care Med, Orange, CA USA
[11] Indiana Univ Sch Med, Riley Hosp Children, Indianapolis, IN USA
[12] Childrens Mercy Hosp, Div Crit Care Med, Kansas City, MO USA
[13] Penn State Hershey Childrens Hosp, Div Crit Care Med, Hershey, PA USA
[14] Univ Florida Hlth, Shands Childrens Hosp, Div Crit Care Med, Gainesville, FL USA
[15] Lucile Packard Childrens Hosp Stanford, Div Crit Care Med, Palo Alto, CA USA
[16] Nemours Childrens Hlth, Div Crit Care Med, Wilmington, DE USA
[17] Cincinnati Childrens Hosp, Med Ctr, Cincinnati, OH USA
关键词
acute kidney injury; pediatrics; precision medicine; sepsis; septic shock; RENAL ANGINA INDEX; EPIDEMIOLOGY; DEATH;
D O I
10.1097/PCC.0000000000003589
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
OBJECTIVES:We previously derived the updated Pediatric Sepsis Biomarker Risk for Acute Kidney Injury (PERSEVERE-II AKI) prediction model, which had robust diagnostic test characteristics for severe AKI on day 3 (D3 severe AKI) of septic shock. We now sought to validate this model in an independent cohort of children to the one in which the model was developed. DESIGN:A secondary analysis of a multicenter, prospective, observational study carried out from January 2019 to December 2022. SETTING:Ten PICUs in the United States. PATIENTS:Children with septic shock 1 week to 18 years old admitted to the PICU. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:Seventy-nine of 363 patients (22%) had D3 severe AKI, defined as Kidney Disease Improving Global Outcomes stage 2 or higher. Patients were assigned a probability of D3 severe AKI using the PERSEVERE-II AKI model. The model predicted D3 severe AKI with an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.85-0.93), sensitivity of 77% (95% CI, 66-86%), specificity of 88% (95% CI, 84-92%), positive predictive value of 65% (95% CI, 54-74%), and negative predictive value of 93% (95% CI, 89-96%). These data represent an increase in post-test probability of D3 severe AKI with a positive test from 22% to 65%, and a prevalence threshold of 28%. On multivariable regression, the PERSEVERE-II AKI prediction model demonstrated greater adjusted odds ratio (aOR) for D3 severe AKI (aOR, 11.2; 95% CI, 4.9-25.3) and lesser aOR for failure of D3 renal recovery from early AKI (aOR, 0.31; 95% CI, 0.13-0.69). CONCLUSIONS:The PERSEVERE-II AKI model demonstrates consistently robust performance for prediction of new or persistent D3 severe AKI in children with septic shock. A major limitation is that actual D3 severe AKI prevalence is below the prevalence threshold for the test, and thus future work should focus on evaluating use in enriched populations.
引用
收藏
页码:1005 / 1016
页数:12
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