Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

Vidit N. Munshi; Soroush Saghafian; Curtiss B. Cook; Sumhith Veda Aradhyula; Harini A. Chakkera

doi:10.12659/AOT.928624

16 March 2021 : Original article

Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

Vidit N. Munshi^1ACDEF*, Soroush Saghafian^2AEG, Curtiss B. Cook^3BE, Sumhith Veda Aradhyula^2C, Harini A. Chakkera^4BE

DOI: 10.12659/AOT.928624

Ann Transplant 2021; 26:e928624

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Table 3 Observed and imputed HbA1c and FBG across 1–3-month, 4–6-month, and 8–12-month follow-up periods after transplant for heart transplantation patients who did not have pre-transplant DM.

Variable	Observed data			Imputed/perfect collection
Variable	n	Missing values	Mean*	n	Missing values	Mean*
1–3 month HbA1c	19	82	6.6/49	101	0	6.1/43
4–6 month HbA1c	28	73	6.7/50	101	0	5.8/40
8–12 month HbA1c	43	58	5.6/38	101	0	5.6/38
1–3 month FBG	99	2	125/6.9	101	0	125/6.9
4–6 month FBG	98	3	107/5.9	101	0	107/5.9
8–12 month FBG	99	2	105/5.8	101	0	105/5.8
^* Displayed as (%/mmol per mol) for HbA1c and (mg per dl/mmol per l) for FBG. 95% confidence intervals not displayed, but were the same between observed and imputed variables

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Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation

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