Frontiers in Endocrinology (Sep 2024)

Exploring the influencing factors of non-insulin drug prescriptions in discharged patients with type 1 diabetes

  • Yikang Cheng,
  • Yikang Cheng,
  • Haizhen Li,
  • Xin Liu,
  • Xiaolong Jin,
  • Junming Han,
  • Jing Du,
  • Jing Du,
  • Chao Xu,
  • Chao Xu

DOI
https://doi.org/10.3389/fendo.2024.1381248
Journal volume & issue
Vol. 15

Abstract

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ObjectiveThe aim of this study was to evaluate the admission indicators and characteristics of individuals diagnosed with type 1 diabetes (T1D) to ascertain potential impact on the choice of glucose control therapy after discharge.MethodsA total of 398 eligible T1D patients were selected. We conducted multivariable logistic regression analysis to determine the independent influence of predictors on the selection of glucose control therapy after discharge. To explore the influencing factors of different subgroups, we additionally performed subgroup analyses based on gender and age.ResultsOur study revealed that body mass index (BMI) was noteworthy influence factor for prescription of insulin and non-insulin antidiabetic drug (NIAD prescription) in T1D patients of general population [OR = 1.109 (1.033-1.195), p = 0.006], male [OR = 1.166 (1.040−1.318), p = 0.011] and individuals below the age of 30 years [OR = 1.146 (1.020−1.301), p = 0.028]. Diastolic blood pressure (DBP) was a protective factor for NIAD prescription in the general population [OR = 0.971 (0.949-0.992), p = 0.008] and women [OR = 0.955 (0.923−0.988), p = 0.008]. The other risk factor of NIAD prescription in men was dyslipidemia [OR = 4.824 (1.442−22.246), p = 0.020]. Pulse pressure [OR = 1.036 (1.007–1.068), p = 0.016] constituted an additional risk factor of NIAD prescription among individuals below the age of 30 years. The risk factors of NIAD prescription for people aged 30 to 50 years were length of stay [OR = 1.097 (1.014–1.196), p = 0.026] and initial blood glucose [OR = 1.078 (1.007–1.168), p = 0.047]. In the case of individuals aged above 50 years, physicians exhibited a higher tendency to prescribe supplementary non-insulin medications to men [OR = 9.385 (1.501–87.789), p = 0.029].ConclusionsWe identified notable factors that influence discharge prescriptions in patients with T1D. In order to enhance the treatment outcome for the patient, clinicians ought to have a special focus on these indicators or factors.

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