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1.
Cardiol Rev ; 28(5): 262-265, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32467427

RESUMO

Nitrosamines are known carcinogens which have been recently discovered in several angiotensin receptor blockers (ARBs). This led to the recall of valsartan in the United States in 2018, and afterward, the recall of other ARBs as well as unrelated medications (e.g., ranitidine). The presence of nitrosamine in ARBs was likely a result of changes in the manufacturing process, although nitrosamine contamination is believed to occur by different mechanisms with other medications. The United States Food and Drug Administration has since taken steps to identify products affected by nitrosamine contamination and mitigate this concern going forward. Despite the contamination of some drug products, studies estimate that the overall risk to patients is low enough to not necessitate changes in prescribing patterns at this time.


Assuntos
Antagonistas de Receptores de Angiotensina , Composição de Medicamentos , Contaminação de Medicamentos , Recall de Medicamento , Nitrosaminas , Antagonistas de Receptores de Angiotensina/classificação , Antagonistas de Receptores de Angiotensina/farmacologia , Antiácidos/farmacologia , Carcinógenos/análise , Carcinógenos/química , Carcinógenos/toxicidade , Composição de Medicamentos/métodos , Composição de Medicamentos/normas , Contaminação de Medicamentos/legislação & jurisprudência , Contaminação de Medicamentos/prevenção & controle , Recall de Medicamento/métodos , Recall de Medicamento/organização & administração , Humanos , Nitrosaminas/análise , Nitrosaminas/química , Nitrosaminas/toxicidade , Farmacovigilância , Ranitidina/farmacologia , Retirada de Medicamento Baseada em Segurança/legislação & jurisprudência , Estados Unidos , United States Food and Drug Administration
2.
Stud Health Technol Inform ; 216: 609-13, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26262123

RESUMO

Angiotensin Converting Enzyme Inhibitors (ACEI) and Angiotensin II Receptor Blockers (ARB) are two common medication classes used for heart failure treatment. The ADAHF (Automated Data Acquisition for Heart Failure) project aimed at automatically extracting heart failure treatment performance metrics from clinical narrative documents, and these medications are an important component of the performance metrics. We developed two different systems to detect these medications, rule-based and machine learning-based. The rule-based system used dictionary lookups with fuzzy string searching and showed successful performance even if our corpus contains various misspelled medications. The machine learning-based system uses lexical and morphological features and produced similar results. The best performance was achieved when combining the two methods, reaching 99.3% recall and 98.8% precision. To determine the prescription status of each medication (i.e., active, discontinued, or negative), we implemented a SVM classifier with lexical features and achieved good performance, reaching 95.49% accuracy, in a five-fold cross-validation evaluation.


Assuntos
Antagonistas de Receptores de Angiotensina/administração & dosagem , Inibidores da Enzima Conversora de Angiotensina/uso terapêutico , Prescrições de Medicamentos/classificação , Registros Eletrônicos de Saúde/classificação , Insuficiência Cardíaca/tratamento farmacológico , Narração , Antagonistas de Receptores de Angiotensina/classificação , Inibidores da Enzima Conversora de Angiotensina/classificação , Mineração de Dados/métodos , Humanos , Aprendizado de Máquina , Processamento de Linguagem Natural , Vocabulário Controlado
3.
Kardiologiia ; 54(9): 65-71, 2014.
Artigo em Russo | MEDLINE | ID: mdl-25702405

RESUMO

The article is a review of published data on the efficacy and tolerability of a new representative of the class of angiotensin receptor blockers II (BRA) azilsartana registered for use in the Russian Federation in 2014. It is found that this drug has the advantage in comparison with several other members of the class BRA (valsartan, olmesartan, candesartan) and an ACE inhibitor ramipril in the form of more powerful antihypertensive effect.


Assuntos
Antagonistas de Receptores de Angiotensina , Benzimidazóis/farmacologia , Hipertensão/tratamento farmacológico , Oxidiazóis/farmacologia , Antagonistas de Receptores de Angiotensina/classificação , Antagonistas de Receptores de Angiotensina/farmacologia , Pesquisa Comparativa da Efetividade , Humanos , Ensaios Clínicos Controlados Aleatórios como Assunto , Resultado do Tratamento
4.
Circulation ; 123(15): 1611-21, 2011 Apr 19.
Artigo em Inglês | MEDLINE | ID: mdl-21464050

RESUMO

BACKGROUND: Observational studies suggest that there are differences in adherence to antihypertensive medications in different classes. Our objective was to quantify the association between antihypertensive drug class and adherence in clinical settings. METHODS AND RESULTS: Studies were identified through a systematic search of English-language articles published from the inception of computerized databases until February 1, 2009. Studies were included if they measured adherence to antihypertensives using medication refill data and contained sufficient data to calculate a measure of relative risk of adherence and its variance. An inverse-variance-weighted random-effects model was used to pool results. Hazard ratios (HRs) and odds ratios were pooled separately, and HRs were selected as the primary outcome. Seventeen studies met inclusion criteria. The pooled mean adherence by drug class ranged from 28% for ß-blockers to 65% for angiotensin II receptor blockers. There was better adherence to angiotensin II receptor blockers compared with angiotensin-converting enzyme inhibitors (HR, 1.33; 95% confidence interval, 1.13 to 1.57), calcium channel blockers (HR, 1.57; 95% confidence interval, 1.38 to 1.79), diuretics (HR, 1.95; 95% confidence interval, 1.73 to 2.20), and ß-blockers (HR, 2.09; 95% confidence interval, 1.14 to 3.85). Conversely, there was lower adherence to diuretics compared with the other drug classes. The same pattern was present when studies that used odds ratios were pooled. After publication bias was accounted for, there were no longer significant differences in adherence between angiotensin II receptor blockers and angiotensin-converting enzyme inhibitors or between diuretics and ß-blockers. CONCLUSION: In clinical settings, there are important differences in adherence to antihypertensives in separate classes, with lowest adherence to diuretics and ß-blockers and highest adherence to angiotensin II receptor blockers and angiotensin-converting enzyme inhibitors. However, adherence was suboptimal regardless of drug class.


Assuntos
Anti-Hipertensivos/classificação , Anti-Hipertensivos/uso terapêutico , Hipertensão/tratamento farmacológico , Adesão à Medicação , Antagonistas Adrenérgicos beta/classificação , Antagonistas Adrenérgicos beta/uso terapêutico , Antagonistas de Receptores de Angiotensina/classificação , Antagonistas de Receptores de Angiotensina/uso terapêutico , Inibidores da Enzima Conversora de Angiotensina/classificação , Inibidores da Enzima Conversora de Angiotensina/uso terapêutico , Bloqueadores dos Canais de Cálcio/classificação , Bloqueadores dos Canais de Cálcio/uso terapêutico , Diuréticos/classificação , Diuréticos/uso terapêutico , Humanos , Hipertensão/epidemiologia
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