Observational studyDiabetes research and clinical practice2021
Higher admission activated partial thromboplastin time, neutrophil-lymphocyte ratio, serum sodium, and anticoagulant use predict in-hospital COVID-19 mortality in people with Diabetes: Findings from Two University Hospitals in the U.K.
Observational study in Diabetes research and clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.
- Risk phenotypes of diabetes and association with COVID-19 severity and death: an update of a living systematic review and meta-analysis.Diabetologia · 2023Pooled it
- Prolonged activated partial thromboplastin time predicts poor short-term prognosis in patients with acute pancreatitis: A retrospective cohort study.Clinical and translational science · 2022Trial
- Predictive Value of the CURB-65, MuLBSTA, Pneumonia Severity Index Scores and Laboratory Parameters for In-Hospital Mortality in Patients with Diabetes Mellitus and COVID-19 Infection.Journal of clinical medicine · 2026Article
- Susceptibility of Diabetic Patients to COVID-19 Infections: Clinico-Hematological and Complications Analysis.Vaccines · 2023Article
- Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay.Sensors (Basel, Switzerland) · 2022Article
- Isolated and Combined Effect of Age and Gender on Neutrophil-Lymphocyte Ratio in the Hyperglycemic Saudi Population.Medicina (Kaunas, Lithuania) · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo create and compare survival models from admission laboratory indices in people hospitalized with coronavirus disease 2019 (COVID-19) with and without diabetes.
methodsRetrospective observational study of patients with COVID-19 with or without diabetes admitted to Sheffield Teaching Hospitals from 29 February to 01 May 2020. Predictive variables for in-hospital mortality from COVID-19 were explored using Cox proportional hazard models.
resultsOut of 505 patients, 156 (30.8%) had diabetes mellitus (DM) of which 143 (91.7%) had type 2 diabetes. There were significantly higher in-hospital COVID-19 deaths in those with DM [DM COVID-19 deaths 54 (34.6%) vs. non-DM COVID-19 deaths 88 (25.2%): P < 0.05]. Activated partial thromboplastin time (APPT) > 24 s without anticoagulants (HR 6.38, 95% CI: 1.07-37.87: P = 0.04), APTT > 24 s with anticoagulants (HR 24.01, 95% CI: 3.63-159.01: P < 0.001), neutrophil-lymphocyte ratio > 8 (HR 6.18, 95% CI: 2.36-16.16: P < 0.001), and sodium > 136 mmol/L (HR 3.27, 95% CI: 1.12-9.56: P = 0.03) at admission, were only associated with in-hospital COVID-19 mortality for those with diabetes.
conclusionsAt admission, elevated APTT with or without anticoagulants, neutrophil-lymphocyte ratio and serum sodium are unique factors that predict in-hospital COVID-19 mortality in patients with diabetes compared to those without. This novel finding may lead to research into haematological and biochemical mechanisms to understand why those with diabetes are more susceptible to poor outcomes when infected with Covid-19, and contribute to identification of those most at risk when admitted to hospital.
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