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Predictive value of glycemic gap and stress glycemia ratio among critically ill patients with acute kidney injury: a retrospective analysis of the MIMIC-III database.
Xia, Wenkai; Li, Chenyu; Kuang, Meisi; Wu, Yu; Xu, Lingyu; Hu, Hong.
Afiliação
  • Xia W; Department of Nephrology, Jiangyin People's Hospital Affiliated to Nantong University, 3 Yingrui Road, Jiangsu, 214400, Jiangyin, China.
  • Li C; Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Kuang M; Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Wu Y; Nephrologisches Zentrum, Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Xu L; Department of Nephrology, Jiangyin People's Hospital Affiliated to Nantong University, 3 Yingrui Road, Jiangsu, 214400, Jiangyin, China.
  • Hu H; Department of Nephrology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
BMC Nephrol ; 24(1): 227, 2023 08 01.
Article em En | MEDLINE | ID: mdl-37528371
ABSTRACT
BACKGROUND AND

AIMS:

Acute hyperglycemia has been identified as a risk factor for acute kidney injury occurrence and mortality in various diseases. The aim of the current study was to investigate the relationship between stress-induced hyperglycemia and adverse outcomes in critically ill patients with AKI.

METHODS:

We extracted clinical data from Multiparameter Intelligent Monitoring in Intensive Care III version 1.4. Blood glucose and glycosylated hemoglobin during the first 24 h of ICU admission were used to calculate glycemic gap and stress hyperglycemia ratio (SHR). The outcomes included ICU mortality and need for renal replacement therapy. The association of the glycemic gap and SHR with outcomes were determined via logistic regression model and receiver-operating curves. The subgroup analysis of patients with and without diabetes was performed separately.

RESULTS:

Higher glycemic gap and SHR were observed in patients who had increased need of RRT, higher mortality rates and longer ICU stay. Multivariate analysis demonstrated that higher glycemic gap (OR 1.01, 95%CI 1.00-1.02, P = 0.015), as well as SHR (OR 1.32; 95%CI 1.07-1.64, P = 0.009), were independently associated with ICU mortality after adjusting for potential covariates. In subgroup analysis, the association of glycemic gap and SHR were only significant in the non-diabetic population as for the outcome of ICU mortality (OR 2.25, 95%CI 1.64-3.08, P < 0.001 and OR 1.99; 95%CI 1.46-2.72, P < 0.001, respectively).

CONCLUSIONS:

The glycemic gap and SHR might serve as a potential prognostic indicator of ICU mortality in critically ill patients with AKI, especially in the non-diabetic population.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / Hiperglicemia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Nephrol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Injúria Renal Aguda / Hiperglicemia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Nephrol Ano de publicação: 2023 Tipo de documento: Article