Predictors of In-Hospital Mortality in Patients With Type 2 Diabetes Complicated by Isolated Hyperosmolar Hyperglycemic Syndrome

09 April 2026 : Clinical Research

Yaping Sun

^{BCDEF 1,2}, Xinyue Bian

^{BCE 1,2}, Li Li

^{BCD 2}, Lihong Yuan

^{BF 3}, Wei Zhang

^{BC 1,2}, Wanjun Yin

^{ACDF 4*}, Liwu Xu

^{ACDEG 2}

DOI: 10.12659/MSM.951636

Med Sci Monit 2026; 32:e951636

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Table 4 ROC curve analysis of various indicators for predicting in-hospital mortality in HHS patients.

Indicator	AUC	95% CI	P	Optimal cut-off value	Sensitivity (%)	Specificity (%)
BUN	0.851	0.772–0.929	<0.001	24.95	93.3%	65.3%
Cys-C	0.899	0.825–0.974	<0.001	3.73	80.0%	91.7%
D-Dimer	0.720	0.605–0.835	<0.001	4.38	73.3%	66.7%
CCI Score	0.787	0.699–0.876	<0.001
Use of LMWH	0.693	0.581–0.805	0.002
Overall prediction probability	0.966	0.933–0.999	<0.001
ROC – receiver operating characteristic; HHS – hyperosmolar hyperglycemic syndrome; AUC – area under the curve; CCI Score – Charlson Comorbidity Index; BUN – blood urea nitrogen; Cys-C – cystatin C; LMWH – low molecular weight heparin.

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