Evidence map›Paper›PMID 41952320›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

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

Yaping Sun, Xinyue Bian, Li Li, Lihong Yuan, Wei Zhang, Wanjun Yin, Liwu Xu

Abstract read
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Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yaping SunSchool of Graduate, Bengbu Medical University, Bengbu, Anhui, China.ORCID 0009-0005-5860-0222
Xinyue BianSchool of Graduate, Bengbu Medical University, Bengbu, Anhui, China.ORCID 0009-0001-9497-7079
Li LiDepartment of Endocrinology, The First Hospital of Anhui University of Science and Technology, Huainan, Anhui, China.ORCID 0009-0009-4407-5315
Lihong YuanDepartment of Medical Technology, The First Hospital of Anhui University of Science and Technology, Huainan, Anhui, China.ORCID 0009-0008-9460-7300
Wei ZhangSchool of Graduate, Bengbu Medical University, Bengbu, Anhui, China.ORCID 0009-0000-7229-1845
Wanjun YinSchool of Public Health, Anhui University of Science and Technology, Huainan, Anhui, China.ORCID 0009-0006-8551-2938
Liwu XuDepartment of Endocrinology, The First Hospital of Anhui University of Science and Technology, Huainan, Anhui, China.ORCID 0009-0004-3489-4169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Hyperosmolar hyperglycemic syndrome (HHS) carries a high in-hospital mortality rate. Identifying its in-hospital mortality risk factors is crucial for improving patient outcomes. This study aims to investigate the predictors of in-hospital mortality in patients with type 2 diabetes (T2DM) complicated by isolated HHS. MATERIAL AND METHODS A retrospective analysis was conducted on 102 patients with isolated HHS complicated by T2DM, who were divided into non-survivors (30 cases) and survivors (72 cases) based on in-hospital outcomes. A comparative assessment of clinical characteristics and laboratory findings was performed. Variables with P<0.05 in the univariate logistic regression were entered into the multivariate model to determine independent predictors of mortality. Significant factors identified in the multivariate analysis (P<0.05) were subsequently incorporated into the construction of a mortality prediction model. RESULTS The in-hospital mortality rate was 29.4%. Multivariate logistic regression identified elevated blood urea nitrogen (OR=1.103, 95% CI: 1.021-1.193), cystatin C (OR=1.745, 95% CI: 1.031-2.953), D-dimer (OR=1.058, 95% CI: 1.001-1.118), and Charlson Comorbidity Index score (OR=2.679, 95% CI: 1.257-5.710) as independent predictors of mortality (all P<0.05). Prophylactic administration of low molecular weight heparin (LMWH) was associated with a reduced risk of death (OR=0.033, 95% CI: 0.004-0.302). Receiver operating characteristic analysis demonstrated that cystatin C had the greatest discriminative value (AUC=0.899), with an optimal cut-off of 3.73 mg/L, yielding 80% sensitivity and 91.7% specificity. CONCLUSIONS Elevated blood urea nitrogen, cystatin C, D-dimer levels, and higher Charlson Comorbidity Index scores were identified as independent predictors of in-hospital mortality in patients with T2DM complicated by isolated HHS, whereas prophylactic administration of LMWH was associated with improved survival.

Indexed as

Diabetes Mellitus, Type 2Hyperglycemic Hyperosmolar Nonketotic ComaAgedBlood Urea NitrogenCystatin CFemaleFibrin Fibrinogen Degradation ProductsHospital MortalityHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisRetrospective StudiesRisk FactorsCystatin CFibrin Fibrinogen Degradation Products

Identifiers

PMID41952320
PMCPMC13078246

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.