Different Formulations of Levothyroxine for Treating Hypothyroidism: A Real-Life Study

Objective. Hypothyroid patients are treated by sodium levothyroxine (LT4). Tablet is the mostly used LT4 formulation, and the fasting regimen is required for the absorption of active principle. Also, gastrointestinal diseases and drugs may impair the LT4 bioavailability when tablet is used. Nonsolid LT4 formulations (i.e., liquid solution (LS) and soft gel (SG) capsule) were manufactured to overcome the limitations of LT4 tablet. This study was conceived to evaluate the performance of nonsolid LT4 formulations in a real-life scenario. Methods. Two institutions participated in the study that was conducted in two phases (i.e., enrollment and re-evaluation). Adults with autoimmune or postsurgical hypothyroidism and on LT4 from a few months were selected. A nonparametric statistical analysis for paired or unpaired data was performed. Results. 121 consecutive cases were included. At the enrollment phase, a 52% of patients took the therapy at least 30 min before breakfast with no difference between tablet and SG/LS users. TSH was 1.65 mIU/L (0.86–2.70) in patients on LT4 tablet and 1.70 mIU/L (1.10–2.17) in those on SG/LS (p=0.66). At the re-evaluation phase, among the patients using correct LT4 assumption, the TSH value was stable in the tablet group (p=0.22) and significantly reduced in SG/LS group (p=0.004); among the patients using incorrect LT4 assumption, TSH was significantly increased in those on tablet (p=0.0029) and stable in those on SG/LS (p=0.36). Conclusion. The performance of nonsolid LT4 formulations is not influenced by correct or incorrect use of therapy. On the contrary, LT4 tablet does not guarantee euthyroidism when it is ingested without waiting for at least 30 minutes before breakfast. These new data, obtained in a real-life scenario, suggest that LT4 SG/LS should be regarded as first-line therapy for treating adults with newly diagnosed hypothyroidism.

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Determinants of therapy switch in multiple sclerosis treatment-naïve patients: A real-life study

Multiple Sclerosis Journal ◽

10.1177/1352458518790390 ◽

2018 ◽

Vol 25 (9) ◽

pp. 1263-1272 ◽

Cited By ~ 11

Author(s):

Francesco Saccà ◽

Roberta Lanzillo ◽

Alessio Signori ◽

Giorgia T Maniscalco ◽

Elisabetta Signoriello ◽

...

Keyword(s):

Multiple Sclerosis ◽

Real Life ◽

Dimethyl Fumarate ◽

Diagnosis Delay ◽

Life Study ◽

First Line Therapy ◽

Therapy Choice ◽

Treatment Naïve ◽

Magnetic Resonance Imaging Mri ◽

Cox Analysis

Background: With many options now available, first therapy choice is challenging in multiple sclerosis (MS) and depends mainly on neurologist and patient preferences. Objectives: To identify prognostic factors for early switch after first therapy choice. Methods: Newly diagnosed relapsing–remitting MS patients from 24 Italian centers were included. We evaluated the association of baseline demographics, clinical, and magnetic resonance imaging (MRI) data to the switch probability for lack of efficacy or intolerance/safety with a multivariate Cox analysis and estimated switch rates by competing risks models. Results: We enrolled 3025 patients. The overall switch frequency was 48% after 3 years. Switch risk for lack of efficacy was lower with fingolimod (hazard ratio (HR) = 0.50; p = 0.009), natalizumab (HR = 0.13; p < 0.001), dimethyl-fumarate (HR = 0.60; p = 0.037), teriflunomide (HR = 0.21; p = 0.031) as compared to interferons. Younger age (HR = 0.96; p < 0.001), diagnosis delay (HR = 1.23; p = 0.021), higher baseline Expanded Disability Status Scale (HR = 1.17; p = 0.001), and spinal cord lesions (HR = 1.46; p = 0.001) were independently associated with higher inefficacy switch rates. We found lower switch for intolerance/safety with glatiramer acetate (HR = 0.61; p = 0.001), fingolimod (HR = 0.35; p = 0.002), and dimethyl-fumarate (HR = 0.57; p = 0.022) as compared to interferons, while it increased with natalizumab (HR = 1.43; p = 0.022). Comorbidities were associated with intolerance switch (HR = 1.28; p = 0.047). Conclusion: Several factors are associated with higher switch risk in patients starting a first-line therapy and could be integrated in the decision-making process of first treatment choice.

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