2021
DOI: 10.1007/s00467-021-05297-0
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Risk factors for acute kidney injury after pediatric cardiac surgery: a meta-analysis

Abstract: Background Cardiac surgery-associated acute kidney injury (AKI) is associated with increased morbidity and mortality in both adults and children. Objectives This study aimed to identify clinical risk factors for AKI following cardiac surgery in the pediatric population. Data sources PubMed/MEDLINE, Embase, Scopus, and reference lists of relevant articles were searched for studies published by August 2020. Study eligibility criteria Studies were included if (1) the population consisted of pediatric patients (< … Show more

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Cited by 31 publications
(21 citation statements)
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“…This method is a model-agnostic explanation technique that has been widely used to interpret the contribution of predictors to the model output [37,38]. Consistent with an updated systemic review, we found that lower baseline SCr, longer perfusion time, longer operation time, higher baseline eGFR, younger age, and lower body weight are associated with the development of pediatric CSA-AKI [3,39]. We also identified body length, intraoperative blood loss, serum potassium, and serum calcium as important predictors of CSA-AKI.…”
Section: Principal Findingssupporting
confidence: 80%
See 1 more Smart Citation
“…This method is a model-agnostic explanation technique that has been widely used to interpret the contribution of predictors to the model output [37,38]. Consistent with an updated systemic review, we found that lower baseline SCr, longer perfusion time, longer operation time, higher baseline eGFR, younger age, and lower body weight are associated with the development of pediatric CSA-AKI [3,39]. We also identified body length, intraoperative blood loss, serum potassium, and serum calcium as important predictors of CSA-AKI.…”
Section: Principal Findingssupporting
confidence: 80%
“…Machine learning approaches have also shown promising performance in the early prediction of adult CSA-AKI [14][15][16][17][18][19], but their predictive performance for CSA-AKI in the pediatric population has not been tested. The primary diseases, underlying pathophysiology, and risk factors of CSA-AKI in pediatric patients are significantly different from those in adult patients [20][21][22]. Therefore, the existing prediction models for adult CSA-AKI are not applicable to pediatric patients.…”
Section: Introductionmentioning
confidence: 99%
“…And there is one of the following: (1) The urethral leukocytes are 5 or more high-power fields for men and 10 or more high-power fields for women. (2) Urinary tract infection is clinically diagnosed, or the response to antimicrobial therapy is confirmed as having a urinary tract infection [ 13 ].…”
Section: Exploring Methods Of Nosocomial Infectionmentioning
confidence: 99%
“…(Van den Eynde et al, 2021)The most notable risk factors for developing AKI included younger age, lower body weight, prolonged cardiopulmonary bypass time, perioperative fluid overload, and the presence of low cardiac output after surgery (Khuong et al, 2021). In addition, in the meta-analysis by Van den Eynde et al, the authors found that other risk factors for developing AKI included presence of pulmonary hypertension, cyanotic heart disease, univentricular heart, RACHS-1 score ≥ 3, vasopressor use, cardiopulmonary bypass use, reoperation, and sepsis (Van den Eynde et al, 2022a). …”
mentioning
confidence: 99%