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Approved indications of PPIs for the treatment of GERD in the European Union and the USA

Approved indications of PPIs for the treatment of GERD in the European Union and the USA

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... scenario in the USA appears to be different: three out of five compounds (omeprazole, esomeprazole, lansoprazole) are currently authorised for children, although with the exclusion of infant and neonate age groups (Table 1). It is noteworthy that lansoprazole and esomeprazole are approved for children aged 1-17 in the USA but not in the EU. ...

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... GERD mainly requires short-term treatment 28 and occurs more often in the youngest children (younger than 1 year) and oldest children (older than 11 years). 26 This is supported by our findings, where the highest prevalence and incidence rates were observed among the youngest age groups (0-1 year; supported by supplementary analyses) and the oldest age groups (age: [11][12][13][14][15][16][17]. Similarly, the proportion of children staying on PPI for at least 1 year is close to 0 for children older than 5 years and around 3% for the youngest (0-4 years). ...
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Objectives Proton pump inhibitors (PPI) are among the most frequently used drugs in the developed countries. In recent years, their use among children and adolescents has been on the increase. Guidelines recommend use for a period no longer than 4‐8 weeks. The aim of this study was to describe time trends in prescribing patterns of PPI use among children, with emphasis on persistence to therapy. Methods We used the Danish nationwide health care registries, and identified all Danish children (0‐17 years old) who were provided with a filled in PPI prescription between 2000 and 2015. Based on descriptive analyses, we reported trends over time in annual use, prevalent and incident users. Moreover, we evaluated persistence to treatment and doses used over time. Analyses were stratified by age groups (0‐4, 5‐11 and 12‐17 years). Results We identified 212,056 filled in PPI prescriptions prescribed to 78,489 children. The total annual use of PPIs among children increased eightfold from 2000 to 2015. Omeprazole was most frequently used (60% of all use). The proportion of prevalent users increased from 0.1 in 2000 to 3.1 per 1000 children in 2015, while the rate of new users increased from 1.2 to 8.0 per 1000 child years. In general, persistence to PPIs was low: in the youngest age groups (14%), slightly more children were covered by treatment 12 months after the first prescription compared with the oldest age groups (5%). Conclusion The use of PPIs among Danish children has increased substantially during the last 15 years. In general, treatment with PPIs among children was of short duration. Attention should be paid to indications and rationality behind initiation of therapy. This article is protected by copyright. All rights reserved.
... The discrepancies of information about drug use in neonatology between ANVISA and FDA identified in this study allow us to speculate whether the high rate of off-label drug use in neonates reflects the lack of studies in this age group or whether it occurs because the results of a few published studies are not reflected in the drug label. It is likely that a combination of the two theories has merit (Allegaert, Tibboel, van den Anker, 2013;Jacqz-Aigrain et al., 2013;Lass et al., 2011;Tafuri et al., 2009). ...
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This study was designed to investigate the use of off-label and unlicensed drugs in a Neonatal Care Unit (NCU) and to compare the frequency of use of off-label drugs according to the drug regulatory agencies in Brazil (Agência Nacional de Vigilância Sanitária-ANVISA) and the United States Food and Drug Administration (FDA). A prospective observational study was carried out in the NCU. Prescriptions were classified as off-label and unlicensed using both ANVISA and FDA criteria. A total of 157 newborns and 1187 prescriptions were analyzed. The most prescribed drug was fentanyl (9.3%), followed by multivitamin (8.4%) and gentamicin (7.9%). According to ANVISA criteria, there were 665 (56.0%) off-label prescriptions and 86 (7.2%) unlicensed prescriptions and 95.5% of newborns received at least one drug off-label. By contrast, according to FDA criteria, there were 592 (49.9%) off-label prescriptions and 84 (7.1%) unlicensed prescriptions, and 72.0% of newborns received at least one drug off-label. The off-label use of drugs registered by ANVISA differed significantly from that of drugs registered by the FDA. There was a high frequency of off-label and unlicensed drug use in the investigated NCU, and there was an inverse relationship between off-label and unlicensed usage and the gestational age of the newborns.
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... [13][14][15][16] Evidence suggests that as a result, physicians are prescribing medications in this unapproved age group for the treatment of GORD ('off-label'), in increasingly large numbers when they are able to access formulations. 17,18 A retrospective study of infants in the United States reported a 7.5-fold increase in PPI use between 1999 and 2004. 18 More recent research examining physician prescribing behaviours has revealed an 11-fold increase in the number of new prescriptions for PPIs in patients aged less than 12 months. ...
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... Similar to Tafuri et al. [29], our results raise the question of whether the high rate of off-label use in neonates is a reflection of the very few neonatal studies that have been performed or is it that the results of these studies are simply not reflected in the SPCs. Most likely it is a combination of both, a conclusion supported by the fact that for some commonly used agents, such as gentamicin, neonatal information is lacking in the SPC but is available in other sources. ...
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Thesis
Hintergrund und Ziele Kinder und Jugendliche sind bei der Arzneimittelanwendung aufgrund ihrer entwicklungsphy-siologischen Besonderheiten und einer vergleichsweise häufigen off-label-Anwendung einem erhöhten Risiko für unerwünschte Arzneimittelereignisse (UAE) ausgesetzt. Um UAE leichter erkennen zu können, wurden sogenannte Trigger Tools entwickelt, die bei der Durchsicht von Patientenakten ohne relevanten Mehraufwand angewendet werden. Mit ihrem checklistenarti-gen und einfachen Aufbau unterstützen sie Pharmakovigilanz-Aktivitäten und sind zugleich kostengünstig. Das Auftreten eines bestimmten Signalwortes (Triggers) indiziert einen UAE-Verdacht. Die meisten dieser Tools sind jedoch auf die erwachsene Patientengruppe ausge-richtet. Weil UAE in der Pädiatrie jedoch anders ausgeprägt sein können und zudem pädiat-riespezifische Wirkstoffe berücksichtigt werden müssen, bedarf es hierbei aber spezifischer Trigger Tools. UAE, die im ambulanten Bereich auftreten und zu einer stationären Aufnahme führen, sind von besonderer Schwere und mit Leid für die Patienten sowie mit Kosten für das Gesundheits-system verbunden. Ihre Erkennung und subsequente Vermeidung sind demzufolge von be-sonderer Relevanz. Die bereits bestehenden pädiatrischen Tools fokussieren sich ausschließ-lich auf die stationäre Arzneimittelanwendung. Das Ziel dieser Arbeit war daher die Entwick-lung und Validierung eines pädiatrischen Trigger Tools zur Erkennung arzneimittelbedingter stationärer Aufnahmen. Methode Ausgangspunkt war eine umfassende Literaturrecherche in PubMed. Die daraus identifizierten Trigger wurden unter Einbeziehung von pädiatrisch-pharmakologischen Experten weiter kon-solidiert und eine vorläufige Version des Algorithmus gebildet. Nach der retrospektiven Pilotie-rung des Tools an 292 nicht-elektiven Patientenepisoden wurden die Testmerkmale Sensitivi-tät, Spezifität sowie positiver prädiktiver Wert (PPV) bestimmt. Die daraufhin überarbeitete Version wurde im Rahmen des KiDSafe-Projekts an der Kinder- und Jugendklinik Erlangen sowie in elf weiteren deutschen Kinderkliniken zur Erkennung UAE-bedingter Hospitalisierun-gen eingesetzt. Von den Erlangener Daten wurde eine zufällige Stichprobe (n = 1000) gewählt und die Testmerkmale bestimmt. Zusätzlich stellten alle beteiligten Kliniken weitere Episoden und ausgefüllte Algorithmen zur Verfügung. Anhand dieser Daten wurde der Algorithmus in drei Überarbeitungsschritten weiter angepasst und finalisiert. Die finale Version wurde an einer unabhängigen Stichprobe aus vier KiDSafe-Projektkliniken (n = 300) validiert. Ergebnisse Über die Literaturrecherche wurden mehr als 2000 Referenzen identifiziert. Aus diesen Refe-renzen wurden 183 Trigger abgeleitet, die im Verlauf für die vorläufige Algorithmus-Version auf 38 reduziert und den vier Modulen „Allgemein“, „Arzneimittel“, „Symptome“ und „Labor-werte“ zugeordnet wurden. Während der Pilotierung an 292 Patienten lag die Sensitivität bei 0,9546 [0,8930; 1; KI 95 %], die Spezifität bei 0,1653 [0,1191; 0,2116; KI 95 %] und das PPV bei 0,1687 [0,1222; 0,2152; KI 95 %]. Neben kleineren Anpassungen wurde in der Folgever-sion das Arzneimittel-Modul mit dem Modul für Symptome beziehungsweise mit dem für La-borwerte verknüpft. Dadurch wurde im Weiteren ein UAE-Verdacht nur bei gleichzeitiger Trig-ger-Aktivierung innerhalb beider Module erzeugt. Auf Grundlage der 1000 Patientenepisoden und der von den KiDSafe-Kliniken zur Verfügung gestellten Anwendungsdaten wurden in drei Überarbeitungsschritten weitere Anpassungen am Algorithmus vorgenommen, wobei sich die Anzahl seiner Trigger auf 28 reduzierte. Bei der Anwendung in der Validierungs-Stichprobe mit 300 Patientenepisoden zeigte die finale Version schließlich eine Sensitivität von 0,8400 [0,6963; 0,9837; KI 95 %], eine Spezifität von 0,8291 [0,7846; 0,8736; KI 95 %] und ein PPV von 0,3088 [0,1990; 0,4186; KI 95 %]. Diskussion und praktische Implikationen Der in dieser Arbeit entwickelte Algorithmus zeichnet sich durch eine gute Sensitivität und Spezifität aus, die an einer unabhängigen Stichprobe bestätigt wurden und mit bereits etab-lierten Trigger Tools vergleichbar sind. Vor allem der neuartige Ansatz, Module miteinander zu koppeln trägt zur hohen Spezifität des Algorithmus bei. Der Algorithmus muss nun unter Pra-xisbedingungen eingesetzt werden, um finale Aussagen über seine Anwendbarkeit treffen zu können. Perspektivisch soll der entwickelte Algorithmus dazu beitragen, auch ambulante UAE systematisch zu erfassen und zur Meldung zu bringen, woran sich weitere Maßnahmen zur Prävention dieser Ereignisse anschließen können. Auch seine Integration in ein elektronisches Klinik-Informationssystem zur automatisierten Durchsicht der Patientenaufnahmen ist denk-bar.
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