Literature DB >> 33618695

Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study.

Wen En Joseph Wong1, Siew Pang Chan2,3, Juin Keith Yong2, Yen Yu Sherlyn Tham2, Jie Rui Gerald Lim2, Ming Ann Sim4, Chai Rick Soh5, Lian Kah Ti2,4, Tsong Huey Sophia Chew2,5,6.   

Abstract

BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associated with poor patient outcomes and high healthcare resource usage. This study's primary objective is to help identify which ICU patients are at high risk for acute kidney injury. Its secondary objective is to examine the effect of acute kidney injury on a patient's prognosis during and after the ICU admission.
METHODS: A retrospective cohort of patients admitted to a Singaporean surgical ICU between 2015 to 2017 was collated. Patients undergoing chronic dialysis were excluded. The outcomes were occurrence of ICU acute kidney injury, hospital mortality and one-year mortality. Predictors were identified using decision tree algorithms. Confirmatory analysis was performed using a generalized structural equation model.
RESULTS: A total of 201/940 (21.4%) patients suffered acute kidney injury in the ICU. Low ICU haemoglobin levels, low ICU bicarbonate levels, ICU sepsis, low pre-ICU estimated glomerular filtration rate (eGFR) and congestive heart failure was associated with the occurrence of ICU acute kidney injury. Acute kidney injury, together with old age (> 70 years), and low pre-ICU eGFR, was associated with hospital mortality, and one-year mortality. ICU haemoglobin level was discretized into 3 risk categories for acute kidney injury: high risk (haemoglobin ≤9.7 g/dL), moderate risk (haemoglobin between 9.8-12 g/dL), and low risk (haemoglobin > 12 g/dL).
CONCLUSION: The occurrence of acute kidney injury is common in the surgical ICU. It is associated with a higher risk for hospital and one-year mortality. These results, in particular the identified haemoglobin thresholds, are relevant for stratifying a patient's acute kidney injury risk.

Entities:  

Keywords:  Acute kidney injury; Critically ill; Hemoglobin; Mortality; Surgery

Mesh:

Year:  2021        PMID: 33618695      PMCID: PMC7898752          DOI: 10.1186/s12882-021-02238-9

Source DB:  PubMed          Journal:  BMC Nephrol        ISSN: 1471-2369            Impact factor:   2.388


  22 in total

1.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

2.  Serum bicarbonate may independently predict acute kidney injury in critically ill patients: An observational study.

Authors:  Anuksha Gujadhur; Ravindranath Tiruvoipati; Elizabeth Cole; Saada Malouf; Erum Sahid Ansari; Kim Wong
Journal:  World J Crit Care Med       Date:  2015-02-04

Review 3.  Acute kidney injury in the ICU: from injury to recovery: reports from the 5th Paris International Conference.

Authors:  Rinaldo Bellomo; Claudio Ronco; Ravindra L Mehta; Pierre Asfar; Julie Boisramé-Helms; Michael Darmon; Jean-Luc Diehl; Jacques Duranteau; Eric A J Hoste; Joannes-Boyau Olivier; Matthieu Legrand; Nicolas Lerolle; Manu L N G Malbrain; Johan Mårtensson; Heleen M Oudemans-van Straaten; Jean-Jacques Parienti; Didier Payen; Sophie Perinel; Esther Peters; Peter Pickkers; Eric Rondeau; Miet Schetz; Christophe Vinsonneau; Julia Wendon; Ling Zhang; Pierre-François Laterre
Journal:  Ann Intensive Care       Date:  2017-05-04       Impact factor: 6.925

Review 4.  Pathophysiology of ischaemic acute kidney injury.

Authors:  Nigel Suren Kanagasundaram
Journal:  Ann Clin Biochem       Date:  2014-10-07       Impact factor: 2.057

5.  Bicarbonate use and mortality outcome among critically ill patients with metabolic acidosis: A meta analysis.

Authors:  Kevin Bryan Lo; Veronica Garvia; Jessica M Stempel; Pradhum Ram; Janani Rangaswami
Journal:  Heart Lung       Date:  2019-11-14       Impact factor: 2.210

6.  The association of acute kidney injury in the critically ill and postdischarge outcomes: a cohort study*.

Authors:  Clare M Horkan; Steven W Purtle; Mallika L Mendu; Takuhiro Moromizato; Fiona K Gibbons; Kenneth B Christopher
Journal:  Crit Care Med       Date:  2015-02       Impact factor: 7.598

7.  Metabolic acidosis aggravates experimental acute kidney injury.

Authors:  Patrícia Andréa da Fonseca Magalhães; Teresinha Silva de Brito; Rosemayre Souza Freire; Moisés Tolentino Bento da Silva; Armênio Aguiar dos Santos; Mariana Lima Vale; Dalgimar Beserra de Menezes; Alice Maria Costa Martins; Alexandre Braga Libório
Journal:  Life Sci       Date:  2016-01-07       Impact factor: 5.037

Review 8.  Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine.

Authors:  R C Bone; R A Balk; F B Cerra; R P Dellinger; A M Fein; W A Knaus; R M Schein; W J Sibbald
Journal:  Chest       Date:  1992-06       Impact factor: 9.410

9.  Projecting the Burden of Chronic Kidney Disease in a Developed Country and Its Implications on Public Health.

Authors:  L Y Wong; A S T Liew; W T Weng; C K Lim; A Vathsala; M P H S Toh
Journal:  Int J Nephrol       Date:  2018-07-04

10.  Preoperative Low Serum Bicarbonate Levels Predict Acute Kidney Injury After Cardiac Surgery.

Authors:  Su-Young Jung; Jung Tak Park; Young Eun Kwon; Hyung Woo Kim; Geun Woo Ryu; Sul A Lee; Seohyun Park; Jong Hyun Jhee; Hyung Jung Oh; Seung Hyeok Han; Tae-Hyun Yoo; Shin-Wook Kang
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

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  2 in total

1.  The value of N-terminal pro-brain natriuretic peptide and hs-CRP in predicting acute kidney injury after acute myocardial infarction.

Authors:  Wenfeng Wang; Yuanxing Xie; Xuebing Huang; Yan Zhou; Lei Luo
Journal:  Am J Transl Res       Date:  2022-08-15       Impact factor: 3.940

Review 2.  Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

Authors:  Eric R Gottlieb; Mathew Samuel; Joseph V Bonventre; Leo A Celi; Heather Mattie
Journal:  Adv Chronic Kidney Dis       Date:  2022-09       Impact factor: 4.305

  2 in total

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