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Tang W, Ni X, Yao W, Wang W, Lv Q, Ding W, He R. The correlation between admission hyperglycemia and 30-day readmission after hip fracture surgery in geriatric patients: a propensity score-matched study. Front Endocrinol (Lausanne) 2024; 15:1340435. [PMID: 38449856 PMCID: PMC10915248 DOI: 10.3389/fendo.2024.1340435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 01/08/2024] [Indexed: 03/08/2024] Open
Abstract
Purpose This study aimed to investigate the association between admission hyperglycemia and 30-day readmission after hip fracture surgery in geriatric patients. Methods This retrospective study included 1253 geriatric hip fracture patients. Patients were categorized into normoglycemia(<6.10 mmol/L) and hyperglycemia groups(≥6.10 mmol/L) based on admission blood glucose. We performed multivariable logistic regression analyses and propensity score matching (PSM) to estimate adjusted odds ratios and 95% confidence intervals for 30-day readmission, controlling for potential confounding factors. An analysis of the dose-dependent association between admission blood glucose and the probability of 30-day readmission was performed. Additional subgroup analysis was conducted to examine the impact of other factors on the relationship between admission blood glucose and 30-day readmission. Results Patients with hyperglycemia had higher 30-day readmission rates than normoglycemic patients before (19.1% vs 9.7%, p<0.001) and after PSM (18.1% vs 12.3%, p=0.035). Admission hyperglycemia was an independent predictor of increased 30-day readmission risk, with an adjusted odds ratio of 1.57 (95% CI 1.08-2.29, p=0.019) after multivariable regression and 1.57 (95% CI 1.03-2.39, p=0.036) after PSM. A dose-response relationship was observed between higher glucose levels and increased readmission risk. Conclusion Admission hyperglycemia is an independent risk factor for 30-day readmission after hip fracture surgery in the elderly. Routine glucose testing upon admission and perioperative glycemic control may help reduce short-term readmissions in this vulnerable population.
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Affiliation(s)
- Wanyun Tang
- Department of Orthopedics, Zigong First People’s Hospital, Zigong, China
- Department of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China
| | - Xiaomin Ni
- Department of Orthopedics, Zigong Fourth People’s Hospital, Zigong, China
| | - Wei Yao
- Department of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China
| | - Wei Wang
- Department of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China
| | - Qiaomei Lv
- Department of Endocrinology, Dandong Central Hospital, China Medical University, Dandong, China
| | - Wenbo Ding
- Department of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China
| | - Renjian He
- Department of Orthopedics, Zigong First People’s Hospital, Zigong, China
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Kloock S, Skudelny D, Kranke P, Güder G, Weismann D, Fassnacht M, Ziegler CG, Dischinger U. Association of preclinical blood glucose with hospitalization rate and in-hospital mortality: A single-center retrospective cohort study. J Am Coll Emerg Physicians Open 2024; 5:e13091. [PMID: 38179412 PMCID: PMC10764236 DOI: 10.1002/emp2.13091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/26/2023] [Accepted: 12/01/2023] [Indexed: 01/06/2024] Open
Abstract
Objective Critical illness is often accompanied by elevated blood glucose, which generally correlates with increased morbidity and mortality. Prehospital blood glucose (PBG) level might be a useful and easy-to-perform tool for risk assessment in emergency medicine. This retrospective single-center cohort study was designed to analyze the association of prehospital glucose measurements with hospitalization rate and in-hospital mortality. Methods Records of 970 patients admitted to a university hospital by an emergency physician were analyzed. Patients with a PBG ≥140 mg/dL (G1, n = 394, equal to 7.8 mmol/L) were compared with patients with a PBG <140 mg/dL (G2, n = 576). Multivariable logistic regression models were used to correct for age, prediagnosed diabetes, and sex. Results Five hundred thirty-four patients (55%) were hospitalized. In comparison to normoglycemic patients, hyperglycemic patients were more likely to be hospitalized with an adjusted odds ratio (OR) of 1.48 (95% confidence interval [CI] 1.11-1.97), more likely to be admitted to the intensive care unit (ICU) with an adjusted OR of 1.74 (95% CI 1.31-2.31) and more likely to die in the hospital with an adjusted OR of 1.84 (95% CI 0.96-3.53). Hospitalized hyperglycemic patients had a median length of stay of 6.0 days (interquartile range [IQR] 8.0) compared to 3.0 days (IQR 6.0) in the normoglycemic group (P < 0.001). In the subgroup analysis of cases without known diabetes, patients with PBG ≥140 mg/dL were more likely to be hospitalized with an adjusted OR of 1.49 (95% CI 1.10-2.03) and more likely to be admitted to ICU/intermediate care with an adjusted OR of 1.80 (95% CI 1.32-2.45), compared to normoglycemic patients. Conclusion Elevated PBG ≥140 mg/dL was associated with a higher hospitalization risk, a longer length of stay, and a higher mortality risk and may therefore be included in risk assessment scores.
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Affiliation(s)
- Simon Kloock
- Department of Internal MedicineDivision of Endocrinology and DiabetesUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Danilo Skudelny
- Department of Internal MedicineDivision of CardiologyUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Peter Kranke
- Department of Anaesthesiology, Intensive Care, Emergency and Pain MedicineUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Gülmisal Güder
- Department of Internal MedicineDivision of CardiologyUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Dirk Weismann
- Department of Internal MedicineIntensive Care UnitUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Martin Fassnacht
- Department of Internal MedicineDivision of Endocrinology and DiabetesUniversity HospitalUniversity of WürzburgWürzburgGermany
| | - Christian G. Ziegler
- Department of Internal MedicineDivision of Endocrinology and DiabetesUniversity HospitalUniversity of WürzburgWürzburgGermany
- Department of Internal Medicine IIIUniversity Hospital Carl Gustav Carus DresdenDresdenGermany
| | - Ulrich Dischinger
- Department of Internal MedicineDivision of Endocrinology and DiabetesUniversity HospitalUniversity of WürzburgWürzburgGermany
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Infante M, Pieri M, Lupisella S, Mohamad A, Bernardini S, Della-Morte D, Fabbri A, De Stefano A, Iannetta M, Ansaldo L, Crea A, Andreoni M, Morello M. Admission eGFR predicts in-hospital mortality independently of admission glycemia and C-peptide in patients with type 2 diabetes mellitus and COVID-19. Curr Med Res Opin 2023; 39:505-516. [PMID: 36749566 DOI: 10.1080/03007995.2023.2177380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Type 2 diabetes mellitus (T2DM) and impaired kidney function are associated with a higher risk of poor outcomes of COVID-19. We conducted a retrospective study in hospitalized T2DM patients with COVID-19 to assess the association between in-hospital mortality and admission values of different hematological/biochemical parameters, including estimated glomerular filtration rate (eGFR), plasma glucose and C-peptide (as a marker of beta-cell function). METHODS The study included T2DM patients with confirmed SARS-CoV-2 infection who were consecutively admitted to our Institution between October 1, 2020 and April 1, 2021. RESULTS Patients (n = 74) were categorized into survivors (n = 55) and non-survivors (n = 19). Non-survivors exhibited significantly higher median WBC count, D-dimer, neutrophil-to-lymphocyte ratio, hsCRP, and procalcitonin levels, as well as significantly lower median serum 25(OH)D levels compared to survivors. Non-survivors exhibited significantly higher median admission plasma glucose (APG) values compared to survivors (210 vs 166 mg/dL; p = 0.026). There was no statistically significant difference in median values of plasma C-peptide between non-survivors and survivors (3.55 vs 3.24 ng/mL; p = 0.906). A significantly higher percentage of patients with an eGFR < 60 mL/min/1.73 m2 was observed in the non-survivor group as compared to the survivor group (57.9% vs 23.6%; p = 0.006). A multivariate analysis performed by a logistic regression model after adjusting for major confounders (age, sex, body mass index, major comorbidities) showed a significant inverse association between eGFR values and risk of in-hospital mortality (OR, 0.956; 95% CI, 0.931-0.983; p = 0.001). We also found a significant positive association between WBC count and risk of in-hospital mortality (OR, 1.210; 95% CI, 1.043-1.404; p = 0.011). CONCLUSIONS Admission eGFR and WBC count predict in-hospital COVID-19 mortality among T2DM patients, independently of traditional risk factors, APG and random plasma C-peptide. Hospitalized patients with COVID-19 and comorbid T2DM associated with impaired kidney function at admission should be considered at high risk for adverse outcomes and death.
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Affiliation(s)
- Marco Infante
- Department of Systems Medicine & Diabetes Research Institute Federation (DRIF), University of Rome Tor Vergata, Rome, Italy
- Section of Diabetes and Metabolic Disorders, UniCamillus, Saint Camillus International University of Health Sciences, Rome, Italy
- Cell Transplant Center, Diabetes Research Institute (DRI), University of Miami Miller School of Medicine, Miami, FL, USA
| | - Massimo Pieri
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Santina Lupisella
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Ali Mohamad
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Sergio Bernardini
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
| | - David Della-Morte
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Andrea Fabbri
- Department of Systems Medicine & Diabetes Research Institute Federation (DRIF), University of Rome Tor Vergata, Rome, Italy
| | - Alberto De Stefano
- Psychiatry Unit, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Volunteers Association, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Marco Iannetta
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Lorenzo Ansaldo
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Angela Crea
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Massimo Andreoni
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Infectious Disease Clinic, Tor Vergata University Hospital (PTV), Rome, Italy
| | - Maria Morello
- Department of Experimental Medicine, Clinical Biochemistry and Molecular Biology, Faculty of Medicine, University of Rome Tor Vergata, Rome, Italy
- Clinical Biochemistry Department, Tor Vergata University Hospital (PTV), Rome, Italy
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