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Clinical Epidemiology Volume 15, 2023 - Issue
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ORIGINAL RESEARCH

A Novel Chronic Kidney Disease Phenotyping Algorithm Using Combined Electronic Health Record and Claims Data

Omar Mansour1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
,
Julie M Paik1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;2 Renal Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;3 New England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA, USAView further author information
,
Richard Wyss1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
,
Julianna M Mastrorilli1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0001-5674-6619View further author information
ORCID Icon,
Lily Gui Bessette1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
,
Zhigang Lu1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
,
Theodore Tsacogianis1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USAView further author information
&
Kueiyu Joshua Lin1 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;4 Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USACorrespondence[email protected]
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Pages 299-307 | Received 10 Nov 2022, Accepted 16 Feb 2023, Published online: 08 Mar 2023

Figures & data

Figure 1 Flowchart of study population derivation.

Abbreviations: HER, electronic health records; ESKD, end-stage kidney disease; BAP, baseline assessment period.
Figure 1 Flowchart of study population derivation.

Table 1 Patient Characteristics in the Training and Validation Sets (N = 174,220)

Figure 2 Mean measured eGFR by predicted eGFR decile in the training vs validation sets. Error bars represent standard deviations.

Figure 2 Mean measured eGFR by predicted eGFR decile in the training vs validation sets. Error bars represent standard deviations.

Table 2 Performance of the Model Predicting eGFR <60 and <45 mL/min/1.73m2 Categories

Figure 3 Area under the receiver operating characteristic (AUROC) curves of the performance of the eGFR prediction tool in the training and validation set.

Figure 3 Area under the receiver operating characteristic (AUROC) curves of the performance of the eGFR prediction tool in the training and validation set.

Table 3 Performance of the Prediction Model for eGFR <30 mL/min/1.73m2

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