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

16 March 2021 : Original article

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

Background Material and Methods Results Discussion Conclusions References

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Table 4 NODAT diagnosis by follow-up time period across kidney, liver, and heart patients.

	Kidney				Liver				Heart*
	Observed		Perfect collection		Observed		Perfect collection		Observed		Perfect collection
	n	PTDM	n	PTDM	n	PTDM	n	PTDM	n	PTDM	n	PTDM
1 month	303	63	303	64	228	18	237	34	99	39	101	55
4 months	233	11	239	14	210	32	203	26	59	5	46	9
12 months	207	8	225	16	163	24	177	35	55	1	37	4
TOTAL PTDM diagnoses
Estimated PTDM incidence
PTDM incidence may differ from previously published studies utilizing these datasets as patients were excluded who did not have available data or had defined hyperglycemia in the pre-transplant period (compared to previous studies which only excluded patients with a diagnosed DM). ^* Heart dataset contains 1–3, 4–6, and 8–12 month time periods.

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