Nadolol 40mg / Bendroflumethiazide 5mg tablets

BACKGROUND: Herb-drug interactions are nowadays an important decision factor in many healthcare interventions. Patients with cardiovascular risk factors such as hyperlipidemia and hypertension are usually prescribed long-term treatments. We need more informed decision tools to direct future clinical research and decision making to avoid HDI occurrences in this group. METHODS: A scoping review was conducted using data from online databases such as PUBMED, the National Library of Medicine, and the electronic Medicines Compendium. Included studies consisted of the reported effects on Phase 1/2 and P-glycoprotein of herbal medicines listed in the medicines agencies of Latin America and Europe and drugs used for cardiovascular conditions (statins, diuretics, beta blockers, calcium channel blockers, and ACE inhibitors). The cross tabulation of the results allowed for finding potential HDI. RESULTS AND CONCLUSIONS: as per the preclinical data reviewed here, we encourage more clinical research on whether drugs with apparently very low interaction risk, such as pravastatin, nadolol, and nimodipine/nitrendipine, may help prevent HDI when statins, beta blockers, and calcium channel blockers, respectively, are prescribed for long-term treatments.

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Importance: Propranolol for infantile hemangiomas (IH) has been shown to be effective and relatively safe. However, other less lipophilic β-blockers, such as nadolol, may be preferable in individuals who experience propranolol unresponsiveness or adverse events. Objective: To document the noninferiority and safety of oral nadolol compared with oral propranolol in infants with IH. Design, Setting, and Participants: This double-blind noninferiority prospective study with a noninferiority margin of 10% compared propranolol with nadolol in infants aged 1 to 6 months with problematic IH. The study was conducted in 2 academic pediatric dermatology centers in Canada between 2016 and 2020. Infants aged 1 to 6 months with a hemangioma greater than 1.5 cm on the face or 3 cm or greater on another body part causing or with potential to cause functional impairment or cosmetic disfigurement. Interventions: Oral propranolol and nadolol in escalating doses up to 2 mg/kg/d. Main Outcomes and Measure: Between-group differences comparing changes in the bulk (size and extent) and color of the IH at week 24 with baseline using a 100-mm visual analog scale. Results: The study included 71 patients. Of these, 36 were treated with propranolol. The mean (SD) age in this group was 3.1 (1.4) months, and 31 individuals (86%) were female. Thirty-five infants were treated with nadolol. The mean (SD) age in this group was 3.2 (1.6) months, and 26 individuals (74%) were female. The difference in IH between groups by t test was 8.8 (95% CI, 2.7-14.9) for size and 17.1 (95% CI, 7.2-30.0) for color in favor of the nadolol group, demonstrating that nadolol was noninferior to propranolol. Similar differences were noted at 52 weeks: 6.0 (95% CI, 1.9-10.1) and 10.1 (95% CI, 2.9-17.4) for size and color improvement, respectively. For each doubling of time unit (week), the coefficient of involution was 2.4 (95% CI, 0.5-4.4) higher with nadolol compared with propranolol. Safety data were similar between the 2 interventions. Conclusions and Relevance: Oral nadolol was noninferior to oral propranolol, indicating it may be an efficacious and safe alternative in cases of propranolol unresponsiveness or adverse events, or when faster involution is required. Trial Registration: ClinicalTrials.gov Identifier: NCT02505971.

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Nadolol is a long-acting non-selective β–adrenergic antagonist that helps treat angina and hypertension. The current study aimed to develop and validate the physiologically based pharmacokinetic model (PBPK) of nadolol in healthy adults, renal-compromised, and pediatric populations. A comprehensive PBPK model was established by utilizing a PK-Sim simulator. After establishing and validating the model in healthy adults, pathophysiological changes i.e., blood flow, hematocrit, and GFR that occur in renal failure were incorporated in the developed model, and the drug exposure was assessed through Box plots. The pediatric model was also developed and evaluated by considering the renal maturation process. The validation of the models was carried out by visual predictive checks, calculating predicted to observed (Rpre/obs) and the average fold error (AFE) of PK parameters i.e., the area under the concentration–time curve (AUC0-t), the maximum concentration in plasma (Cmax), and CL (clearance). The presented PBPK model successfully simulates the nadolol PK in healthy adults, renal-impaired, and pediatric populations, as the Rpre/obs values of all PK parameters fall within the acceptable range. The established PBPK model can be useful in nadolol dose optimization in patients with renal failure and children with supraventricular tachycardia.

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