[Translated Article] Disease-modifying treatments for patients with multiple sclerosis in Spain.

Multiple sclerosis is a chronic demyelinating disease of the central nervous system and long-term disabling. Different disease-modifying treatments are available. These patients, despite being generally young, have high comorbidity and risk of polymedication due to their complex symptomatology and disability. OBJECTIVE PRIMARY: To determine the type of disease-modifying treatment in patients seen in Spanish hospital pharmacy departments. SECONDARY OBJECTIVES: to determine concomitant treatments, determine the prevalence of polypharmacy, identify the prevalence of interactions and analyze pharmacotherapeutic complexity. METHOD: Observational, cross-sectional, multicentre study. All patients with a diagnosis of multiple sclerosis and active disease-modifying treatment who were seen in outpatient clinics or day hospitals during the second week of February 2021 were included. Modifying treatment, comorbidities and concomitant treatments were collected to determine multimorbidity pattern, polypharmacy, pharmacotherapeutic complexity (Medication Regimen Complexity Index) and drug-drug interactions. RESULTS: 1407 patients from 57 centres in 15 autonomous communities were included. The most frequent form of disease presentation was the relapsing remitting form (89.3%). The most prescribed disease-modifying treatment was dimethyl fumarate (19.1%), followed by teriflunomide (14.0%). Of the parenteral disease-modifying treatments, the two most prescribed were glatiramer acetate and natalizumab with 11.1% and 10.8%. 24.7% of the patients had 1 comorbidity and 39.8% had at least 2 comorbidities. 13.3% belonged to at least one of the defined patterns of multimorbidity and 16.5% belonged to 2 or more patterns. The concomitant treatments prescribed were psychotropic drugs (35.5%); antiepileptic drugs (13.9%) and antihypertensive drugs and drugs for cardiovascular pathologies (12.4%). The presence of polypharmacy was 32.7% and extreme polypharmacy 8.1%. The prevalence of interactions was 14.8%. Median pharmacotherapeutic complexity was 8.0 (IQR: 3.3-15.0). CONCLUSIONS: We have described the disease-modifying treatment of patients with multiple sclerosis seen in Spanish pharmacy services and characterized concomitant treatments, the prevalence of polypharmacy, interactions, and their complexity.

Intravenous human plasma-derived augmentation therapy in alpha 1-antitrypsin deficiency: from pharmacokinetic analysis to individualizing therapy.

BACKGROUND: Severe forms of alpha(1)-antitrypsin (AAT) deficiency require augmentation therapy by intravenous administration of purified preparations of AAT concentrate. Although standard AAT treatment schedules are widely available, pharmacokinetic studies characterizing AAT serum decay are scarce, and data on the variability of individual patients are almost nonexistent. OBJECTIVE: To establish individual AAT pharmacokinetics and develop a predictive model based on simple pharmacokinetic characterization that can be used to optimize individual AAT dosing regimens. METHODS: Seven patients with severe hereditary AAT deficiency (PI(*)ZZ phenotype) with serum AAT levels less than 0.50 g/L initially received AAT 180 mg/kg every 3 weeks. At 7, 14, and 21 days after AAT administration, serum samples were taken for quantitative AAT analysis and further one-compartment pharmacokinetic analysis. Subsequently, patients were rescheduled (dose and dosing interval) according to their individual responses. The influence of baseline AAT level, age, sex, body weight, and commercial AAT preparation was evaluated. RESULTS: The mean +/- SD AAT pharmacokinetic profile was: volume of distribution 127.6 +/- 31.9 mL/kg, clearance 10.13 +/- 1.84 mL/kg/day, and half-life 8.7 +/- 1.0 days. Hence, the mean optimized final AAT dose was 123.1 mg/kg every 2 weeks (range 118.5-125.6). AAT concentrations differed by a mean (geometrical) value of 3.9% (range -4.2% to 6.7%) from the minimum desired AAT serum trough of 0.50 g/L. The impact of baseline AAT levels and commercial AAT preparation used was statistically significant (p = 0.033 and p = 0.035, respectively). Differences between estimated and actual values were slightly lower when baseline AAT levels were taken into consideration, with a mean value of 3.3% (range -4.2% to 6.1%). CONCLUSIONS: AAT augmentation therapy can be effectively individualized on a pharmacokinetic basis with a simple, easily executed method.