ArticleSaudi medical journal2021
Sociodemographic and clinical predictors of refractory type 2 diabetes patients: Findings from a case-control study.
Article in Saudi medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Higher reinfection rate after two-stage revision arthroplasty in patients with refractory diabetes mellitus: a retrospective analysis with a minimum ten-year follow up.BMC musculoskeletal disorders · 2022Article
- Xerostomia, Salivary Flow, and Oral Health Status Among Saudi Diabetic Patients: A Comparative Cross-Sectional Study.Clinical, cosmetic and investigational dentistry · 2021Article
Corrections and comments
- Erratum issuedErratum.2021
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify the sociodemographic and clinical predictors of uncontrolled diabetic patients, to identify high-risk and people with impaired glycemic control, to establish more effective strategies for reducing morbidity and mortality.
methodsThis case-control study of 8209 enrolled patients were included from the diabetes registry by Chronic Illness Center (CIC), Family and Community Medicin, Prince Sultan Military Medical City, Riyadh Saudi Arabia between February 2019 and February 2020. Cases are defined as patients with type II refractory diabetes having persistent HbA1c >9, not reach adequate glycemic control despite intensified therapy under specialist care (CIC) for at least 6 months. Controls were defined as patients with Hba1c ≤9. Multivariable regression analysis was used to identify predictors for patients with the persistent outcome of HbA1c >9%.
resultsOverall, a total of 1152 cases and 4555 controls were included. Patients with refractory diabetes were younger (mean: 58.5, standard deviation [SD]: 11.7) and females (63.4%). Duration of diabetes (13.3, SD: 7.4,
conclusionThe findings from this study helped classify the predictors of refractory patients with diabetes. Understanding refractory patients' predictors may help to develop new therapeutic strategies to boost their glycemic status safely.
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