Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

Hani Susianti1 Clinical Pathology Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaCorrespondence[email protected]

https://orcid.org/0000-0003-4019-9109 View further author information

Aswoco Andyk Asmoro2 Anesthesiology and Intensive Therapy Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

Sujarwoto3 Faculty of Public Administration, Brawijaya University, Malang, IndonesiaView further author information

Wiwi Jaya2 Anesthesiology and Intensive Therapy Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

Heri Sutanto4 Internal Medicine Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

Amanda Yuanita Kusdijanto1 Clinical Pathology Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

Kevin Putro Kuwoyo1 Clinical Pathology Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

Kristian Hananto5 Faculty of Medicine, Brawijaya University, Malang, IndonesiaView further author information

Matthew Brian Khrisna1 Clinical Pathology Department, Faculty of Medicine Brawijaya University/Saiful Anwar General Hospital, Malang, IndonesiaView further author information

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Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

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Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

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