Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients
Xin Chen,1,* Jiarui Xu,1,* Yang Li,1 Xialian Xu,1 Bo Shen,1 Zhouping Zou,1 Xiaoqiang Ding,1,2 Jie Teng,1,2 Wuhua Jiang1 1Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shang...
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Dove Medical Press
2021-05-01
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| Series: | Clinical Epidemiology |
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| Online Access: | https://www.dovepress.com/risk-scoring-systems-including-electrolyte-disorders-for-predicting-th-peer-reviewed-fulltext-article-CLEP |
| _version_ | 1818729238627352576 |
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| author | Chen X Xu J Li Y Xu X Shen B Zou Z Ding X Teng J Jiang W |
| author_facet | Chen X Xu J Li Y Xu X Shen B Zou Z Ding X Teng J Jiang W |
| author_sort | Chen X |
| collection | DOAJ |
| description | Xin Chen,1,* Jiarui Xu,1,* Yang Li,1 Xialian Xu,1 Bo Shen,1 Zhouping Zou,1 Xiaoqiang Ding,1,2 Jie Teng,1,2 Wuhua Jiang1 1Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People’s Republic of China; 2Department of Nephrology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaoqiang Ding; Wuhua JiangDepartment of Nephrology, Zhongshan Hospital, Fudan University ; No.108, Fenglin Road, Xuhui District, Shanghai, People’s Republic of ChinaTel +86-21-64041990Email ding.xiaoqiang@zs-hospital.sh.cn xIntroduction: Electrolyte disorders are common among hospitalized patients with acute kidney injury (AKI) and adversely affect the outcome. This study aimed to explore the potential role of abnormal electrolyte levels on predicting AKI and severe AKI.Methods: In this retrospective, observational study, we included all hospitalized patients in our hospital in China from October 01, 2014, to September 30, 2015. Since only a few patients had arterial blood gas analysis (ABG), all subjects involved were divided into two groups: patients with ABG and patients without ABG. Severe AKI was defined as AKI stage 2 or 3 according to KDIGO guideline.Results: A total of 80,091 patients were enrolled retrospectively and distributed randomly into the test cohort and the validation cohort (2:1). Logistic regression was performed in the test cohort to analyze risk factors including electrolyte disorders and elucidate the association. The test data (derivation cohort) led to AUC values of 0.758 (95% CI: 0.743– 0.773; AKI with ABG), 0.751 (95% CI: 0.740– 0.763; AKI without ABG), 0.733 (95% CI: 0.700– 0.767; severe AKI with ABG), 0.853 (95% CI: 0.824– 0.882; severe AKI without ABG). Application of the scoring system in the validation cohort led to AUC values of 0.724 (95% CI: 0.703– 0.744; AKI with ABG), 0.738 (95% CI: 0.721– 0.755; AKI without ABG), 0.774 (95% CI: 0.732– 0.815; severe AKI with ABG), 0.794 (95% CI: 0.760– 0.827; severe AKI without ABG). Hosmer–Lemeshow tests revealed a good calibration.Conclusion: The risk scoring systems involving electrolyte disorders were established and validated adequately efficient to predict AKI and severe AKI in hospitalized patients. Electrolyte imbalance needs to be carefully monitored and corrections should be made on time to avoid further adverse outcome.Keywords: acute kidney injury, electrolyte disorders, risk score |
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| institution | Directory Open Access Journal |
| issn | 1179-1349 |
| language | English |
| last_indexed | 2024-12-17T22:42:43Z |
| publishDate | 2021-05-01 |
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| series | Clinical Epidemiology |
| spelling | doaj.art-2b875f4ee0134a3b83dc64f5d3dc2e452022-12-21T21:29:53ZengDove Medical PressClinical Epidemiology1179-13492021-05-01Volume 1338339665252Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized PatientsChen XXu JLi YXu XShen BZou ZDing XTeng JJiang WXin Chen,1,* Jiarui Xu,1,* Yang Li,1 Xialian Xu,1 Bo Shen,1 Zhouping Zou,1 Xiaoqiang Ding,1,2 Jie Teng,1,2 Wuhua Jiang1 1Department of Nephrology, Zhongshan Hospital, Fudan University; Shanghai Institute of Kidney Disease and Dialysis (SIKD), Shanghai Laboratory of Kidney Disease and Dialysis, Shanghai Medical Center of Kidney Disease, Shanghai, People’s Republic of China; 2Department of Nephrology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaoqiang Ding; Wuhua JiangDepartment of Nephrology, Zhongshan Hospital, Fudan University ; No.108, Fenglin Road, Xuhui District, Shanghai, People’s Republic of ChinaTel +86-21-64041990Email ding.xiaoqiang@zs-hospital.sh.cn xIntroduction: Electrolyte disorders are common among hospitalized patients with acute kidney injury (AKI) and adversely affect the outcome. This study aimed to explore the potential role of abnormal electrolyte levels on predicting AKI and severe AKI.Methods: In this retrospective, observational study, we included all hospitalized patients in our hospital in China from October 01, 2014, to September 30, 2015. Since only a few patients had arterial blood gas analysis (ABG), all subjects involved were divided into two groups: patients with ABG and patients without ABG. Severe AKI was defined as AKI stage 2 or 3 according to KDIGO guideline.Results: A total of 80,091 patients were enrolled retrospectively and distributed randomly into the test cohort and the validation cohort (2:1). Logistic regression was performed in the test cohort to analyze risk factors including electrolyte disorders and elucidate the association. The test data (derivation cohort) led to AUC values of 0.758 (95% CI: 0.743– 0.773; AKI with ABG), 0.751 (95% CI: 0.740– 0.763; AKI without ABG), 0.733 (95% CI: 0.700– 0.767; severe AKI with ABG), 0.853 (95% CI: 0.824– 0.882; severe AKI without ABG). Application of the scoring system in the validation cohort led to AUC values of 0.724 (95% CI: 0.703– 0.744; AKI with ABG), 0.738 (95% CI: 0.721– 0.755; AKI without ABG), 0.774 (95% CI: 0.732– 0.815; severe AKI with ABG), 0.794 (95% CI: 0.760– 0.827; severe AKI without ABG). Hosmer–Lemeshow tests revealed a good calibration.Conclusion: The risk scoring systems involving electrolyte disorders were established and validated adequately efficient to predict AKI and severe AKI in hospitalized patients. Electrolyte imbalance needs to be carefully monitored and corrections should be made on time to avoid further adverse outcome.Keywords: acute kidney injury, electrolyte disorders, risk scorehttps://www.dovepress.com/risk-scoring-systems-including-electrolyte-disorders-for-predicting-th-peer-reviewed-fulltext-article-CLEPacute kidney injuryelectrolyte disordersrisk score |
| spellingShingle | Chen X Xu J Li Y Xu X Shen B Zou Z Ding X Teng J Jiang W Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients Clinical Epidemiology acute kidney injury electrolyte disorders risk score |
| title | Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients |
| title_full | Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients |
| title_fullStr | Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients |
| title_full_unstemmed | Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients |
| title_short | Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients |
| title_sort | risk scoring systems including electrolyte disorders for predicting the incidence of acute kidney injury in hospitalized patients |
| topic | acute kidney injury electrolyte disorders risk score |
| url | https://www.dovepress.com/risk-scoring-systems-including-electrolyte-disorders-for-predicting-th-peer-reviewed-fulltext-article-CLEP |
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