Developing a prediction model for all‐cause mortality risk among patients with type 2 diabetes mellitus in Shanghai, China

Jing, Qi; He, Ping; Yao, Huayan; Xue, Ying; Sun, Wei; Lü, Ping; Qi, Xiaohui; Zhang, Zizheng; Jing, Renjie; Cui, Bin; Ning, Guang

doi:10.1111/1753-0407.13343

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Data in this study were extracted from SHLD, which included electronic health records (EHRs) for patients from 37 tertiary hospitals in Shanghai ( 11 ). SHLD was established by Shanghai Hospital Development Center and covered most of Shanghai’s inhabitants because Shanghai has achieved universal health coverage with a medical insurance participation rate of over 90% ( https://tjj.sh.gov.cn/ ).…”

Section: Methodsmentioning

confidence: 99%

Comparisons of clinical outcomes between newly diagnosed early- and late-onset T2DM: a real-world study from the Shanghai Hospital Link Database

Tao,

Xue,

Niu

et al. 2023

Endocrine Connections

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Objective: The aim of this study was to compare the differences in incident population, comorbidities, and glucose-lowering drug prescriptions between newly diagnosed patients with early-onset (T2DM) and those with late-onset T2DM to provide real-world evidence for clinical practice. Methods: This study was based on the Shanghai Hospital Link Database (SHLD). Anonymized electronic medical record (EHR) data from 2013 to 2021 were included in this study. Newly-diagnosed patients with T2DM were defined as those without related diagnostic records or glucose-lowering medicine prescriptions in the past three years. Early-onset T2DM were defined as patients who were aged 18-40 years old at the first visit for T2DM to represent those who were born after the 1980s. And late-onset T2DM was defined as those aged 65-80 years old to represent those who were born in a relatively undeveloped period. Results: There were a total of 35457 newly-diagnosed patients with early-onset T2DM and 149108 newly-diagnosed patients with late-onset T2DM included in this study. Compared with late-onset T2DM patients, more early-onset T2DM patients had dyslipidemia at the first visit to hospitals (9.5% V.S. 7.7%, P < 0.01) despite their significant age differences. Patients with early-onset T2DM were more likely to use metformin, DDP-4i, TZD, SGLT2-i, GLP-1 RA at their first visit to hospital. Conclusions: Different characteristics were observed between patients with early-onset T2DM and those with late-onset T2DM. Compared with patients with late-onset T2DM, those with early-onset T2DM were more prone to dyslipidemia and had novel organ-protective drugs.

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Section: Methodsmentioning

confidence: 99%

Comparisons of clinical outcomes between newly diagnosed early- and late-onset T2DM: a real-world study from the Shanghai Hospital Link Database

Tao,

Xue,

Niu

et al. 2023

Endocrine Connections

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“…Diabetes mellitus (DM) is a metabolic disorder that has severe global health impacts [ 1 ]. Currently, approximately 537 million adults (20–79 years old) worldwide have diabetes, and by 2045, this number is estimated to increase to around 783 million, confirming diabetes as a significant global health challenge [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Lemongrass Essential Oil (Cymbopogon flexuosus) Supplementation on Diabetes in Rat Model

Júnior,

Aidar,

Silva

et al. 2024

Life

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(1) Background: Species of the genus Cymbopogon and its essential oil are known for their antioxidant and hypoglycemic effects. This study aimed to investigate the impact of the essential oil of Cymbopogon flexuosus (EOCF), and its major component, citral, on glycemic, lipid, antioxidant parameters, and oxidative stress in a type 1 diabetes (DM1) rat model. (2) Methods: Initially, EOCF was analyzed by Gas chromatography-mass spectrometry (GC-MS) and the antioxidant activity of EOCF and citral was evaluated. Next, male Wistar rats (3 months old, 200–250 g) induced with DM1 using Streptozotocin (STZ) were divided into four groups: negative control supplemented with an 80% Tween solution, two groups of animals supplemented with EOCF (32 mg/kg and 64 mg/kg) and with citral (32 mg/kg), and treated for 14 days. Measurements of blood glucose levels and body weight were taken; after euthanasia, biochemical markers, including lipid profile, uric acid, alanine aminotransferase (ALT), and aspartate aminotransferase (AST), were evaluated. (3) Results: The predominant compounds in EOCF were α-citral (53.21%) and neral (19.42%), constituting 72.63% citral. EOCF showed good antioxidant activity, significantly greater than citral. EOCF supplementation demonstrated a mitigating effect on glycemic, lipid, and hepatic abnormalities induced by DM1. (4) Conclusions: EOCF emerges as a promising therapeutic option for the management of DM1.

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Machine Learning and Statistical Models to Predict All-cause Mortality in Type 2 Diabetes: Results from the UK Biobank Study

Zhang,

Huang,

Chen

et al. 2024

Diabetes & Metabolic Syndrome: Clinical Research & Revi

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Developing a prediction model for all‐cause mortality risk among patients with type 2 diabetes mellitus in Shanghai, China

Cited by 6 publications

References 35 publications

Comparisons of clinical outcomes between newly diagnosed early- and late-onset T2DM: a real-world study from the Shanghai Hospital Link Database

Comparisons of clinical outcomes between newly diagnosed early- and late-onset T2DM: a real-world study from the Shanghai Hospital Link Database

Influence of Lemongrass Essential Oil (Cymbopogon flexuosus) Supplementation on Diabetes in Rat Model

Machine Learning and Statistical Models to Predict All-cause Mortality in Type 2 Diabetes: Results from the UK Biobank Study

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