Background: The adverse impact of acute hyperglycemia is well documented but its specific effects on nondiabetic trauma patients are unclear. The purpose of this study was to analyze the differential impact of hyperglycemia on outcomes between diabetic and nondiabetic trauma inpatients.
Methods: Adults admitted 2018 to 2019 to 46 Level I/II trauma centers with two or more blood glucose tests were analyzed. Diabetes status was determined from International Classification of Diseases-10th Rev.-Clinical Modification, trauma registry, and/or hemoglobin A1c greater than 6.5. Patients with and without one or more hyperglycemic result >180 mg/dL were compared. Logistic regression examined the effects of hyperglycemia and diabetes on outcomes, adjusting for age, sex, Injury Severity Score, and body mass index.
Results: There were 95,764 patients: 54% male; mean age, 61 years; mean Injury Severity Score, 10; diabetic, 21%. Patients with hyperglycemia had higher mortality and worse outcomes compared with those without hyperglycemia. Nondiabetic hyperglycemic patients had the highest odds of mortality (diabetic: adjusted odds ratio, 3.11; 95% confidence interval, 2.8-3.5; nondiabetics: adjusted odds ratio, 7.5; 95% confidence interval, 6.8-8.4). Hyperglycemic nondiabetics experienced worse outcomes on every measure when compared with nonhyperglycemic nondiabetics, with higher rates of sepsis (1.1 vs. 0.1%, p < 0.001), more SSIs (1.0 vs. 0.1%, p < 0.001), longer mean hospital length of stay (11.4 vs. 5.0, p < 0.001), longer mean intensive care unit length of stay (8.5 vs. 4.0, p < 0.001), higher rates of intensive care unit use (68.6% vs. 35.1), and more ventilator use (42.4% vs. 7.3%).
Conclusion: Hyperglycemia is associated with increased odds of mortality in both diabetic and nondiabetic patients. Hyperglycemia during hospitalization in nondiabetics was associated with the worst outcomes and represents a potential opportunity for intervention in this high-risk group.
Level Of Evidence: Therapeutic/care management; Level III.
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http://dx.doi.org/10.1097/TA.0000000000003576 | DOI Listing |
World J Surg Oncol
January 2025
Institute of Oncology, Tel Aviv Sourasky Medical Center, Weizmann St 6, Tel Aviv, Israel.
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View Article and Find Full Text PDFJ Neurooncol
January 2025
Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Purpose: Social determinants of health including neighborhood socioeconomic status, have been established to play a profound role in overall access to care and outcomes in numerous specialized disease entities. To provide glioblastoma multiforme (GBM) patients with high-quality care, it is crucial to identify predictors of hospital length of stay (LOS), discharge disposition, and access to postoperative adjuvant chemoradiation. In this study, we incorporate a novel neighborhood socioeconomic status index (NSES) and develop three predictive algorithms for assessing post-operative outcomes in GBM patients, offering a tool for preoperative risk stratification of GBM patients.
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Purpose: This study aimed to evaluate the prevalence and predictors of frailty and the association between frailty and neurocognitive impairments among Chinese survivors of childhood cancer.
Methods: A total of 185 survivors of childhood cancer were recruited from a long-term follow-up clinic in Hong Kong (response rate: 94.4%; 48.
Background: Paroxysmal sympathetic hyperactivity (PSH) occurs with high prevalence among critically ill patients with traumatic brain injury (TBI) and is associated with worse outcomes. The PSH-Assessment Measure (PSH-AM) consists of a Clinical Features Scale and a diagnosis likelihood tool (DLT) intended to quantify the severity of sympathetically mediated symptoms and the likelihood that they are due to PSH, respectively, on a daily basis. Here, we aim to identify and explore the value of dynamic trends in the evolution of sympathetic hyperactivity following acute TBI using elements of the PSH-AM.
View Article and Find Full Text PDFNat Genet
January 2025
Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Understanding the molecular landscape of nonmuscle-invasive bladder cancer (NMIBC) is essential to improve risk assessment and treatment regimens. We performed a comprehensive genomic analysis of patients with NMIBC using whole-exome sequencing (n = 438), shallow whole-genome sequencing (n = 362) and total RNA sequencing (n = 414). A large genomic variation within NMIBC was observed and correlated with different molecular subtypes.
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