Workshop tematico I molti volti della farmacoepidemiologia - Convegno AIE Segnali in farmacovigilanza: conferme e smentite
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Convegno AIE Bologna, 18-19 marzo 2019 Workshop tematico I molti volti della farmacoepidemiologia Segnali in farmacovigilanza: conferme e smentite delle relazioni causali Emanuel Raschi Alma Mater Studiorum – Università di Bologna emanuel.raschi@unibo.it
Di che cosa parleremo… Definizione di segnale e fonti di dati Il ruolo degli studi di disproporzionalità (why, when, how) Pancreatite da incretino-mimetici Tossicità immuno-relate da inibitori del checkpoint immunitario Uno rapido sguardo al futuro
Signal definition “Information that arises from one or multiple sources (incl. observations and experiments), which suggest a new potentially causal association, or a new aspect of a known association, between an intervention and an event or set of related events, either adverse or beneficial, that is judged to be of sufficient likelihood to justify verificatory action” Practical Aspects of Signal Detection in Pharmacovigilance Report of CIOMS Working Group VIII, Geneva 2010
Data sources for signal detection (drug safety assessment) SRS RCT HCD (SUSAR) Data mining Social In silico Literature (SR/MA) HCD: healthcare database; RCT: randomized controlled trials; SR-MA: systematic review/meta- analysis; SRS: spontaneous reporting system; SUSAR: suspected unexpected serious adverse reactions
Pharmacovigilance and pharmacoepidemiology Farmaci di recente FarmacoVig commercializzazione SRS Eventi rari Farmaco/evento difficilmente tracciabile nei DB amministrativi Evento frequente e FarmacoEpi multifattoriale (es. infarto) Necessità di quantificare HCD rischio Therapie. 2016 Apr;71(2):211-6 HCD: healthcare database SRS: spontaneous reporting system
Spontaneous Reporting System accessibility CANADA VAERS CAERS MAUDE TGA FAERS JADER Eudra Lareb KAERS Vigilance Vigibase AIFA BfArM French DB FEDRA National SRSs Sovra-national SRSs Worldwide SRSs Catchment area
Disproporzionalità: approcci frequentisti ADR Sospetta Altre ADR Farmaco sospetto a b Altri farmaci c d PRR ROR proportional reporting ratio reporting odds ratio a/(a+b) a*d PRR = ROR = c/(c+d) c*b PRR + 95% IC ROR + 95% IC
Approccio nella ricerca del segnale Case-by- Case-by- Statistica Statistica Statistica case case soglia soglia Case-by- case Segnale Segnale Segnale “DME” Segnale Clinical importance DME: designated medical event (e.g., torsade de pointes, liver injury, severe cutaneous reactions)
The need for (and aims of) disproportionality through spontaneous reporting system Detection of rare events, especially for newly/recently- marketed drugs [Curr Drug Saf. 2015;10(3):234-50] Mapping the overall safety profile [Drug Saf 2010;33:865-78] Testing/validating a pharmacological hypothesis [Eur Heart J 2005;26:590-7. Diabetes Care 2011;34:1369-71] Identify drug-drug interactions [Drug Saf 2011;34:253-66] PV/PD relationship [BJCP 2018;84:2405-2414] Montastruc et al., Br J Clin Pharmacol 2011;72(6):905-8. de Boer. Br J Clin Pharmacol. 2011;72(6):909-11.
PV/PD relationship (correlation with receptor affinity) Int Clin Psychopharmacol. 2019 Mar;34(2):89-92
Conceptual and technical challenges in disproportionality analysis STUDY CONCEPT Scientific rationale The scientific basis subtending the study must be clearly described in the introduction and fall within one of the aforementioned categories. Timeliness is a requisite STUDY DESIGN Choice of The choice of control events is rather problematic and increases denominator the chance of introducing additional bias (to be considered only for drugs with established safety profile); choice of control drugs may have strong impact Bias identification and The potential existence of various types of bias must be a priori minimization conceived (depending on the drug and events under investigation) STUDY RESULTS Data interpretation Prefer the term “disproportionality signal” or “signal of disproportionate reporting”, and avoid terms such “association”, “risk”, “incidence”. Avoid specific clinical recommendations in terms of risk rankings and identification of safe drugs (inverse causality does not apply in pharmacovigilance) Adapted from Raschi et al. NMCD 2018; 28:533-542
Limiti segnalazione spontanea (disproporzione) popolazione che usa il farmaco X popolazione con ADR popolazione con ADR segnalata K1 K2 K1 incidenza di ADR K2 tasso di segnalazione
(MIS)interpretazione ROR: due esempi recenti
Il «caso Elashoff»: un esempio storico che ha fatto discutere
Elashoff AFTERMATH
Riproduzione analisi con il metodo di Elashoff Metodo Elashoff Cases Non Cases Drug (Events) (Controls) OR p Confronto PANCREATITIS (2004-2009) Exenatide 518 1114 3,42 5x10-45 * = Sitagliptin 74 233 2,33 1x10-7 * = Other Antidiabetics 208 1528 PANCREATITIS (2004-2006) Exenatide 92 682 1,27 0,12 Sitagliptin 2 18 0,96 1,00 Other Antidiabetics 108 1013 PANCREATIC CANCER (2004-2009) Exenatide 43 1114 2,68 2x10-4 * = Sitagliptin 11 233 0,30 3x10-3 Other Antidiabetics 22 1528 THYROID CANCER (2004-2009) Exenatide 14 1114 3,84 9x10-3 * = Sitagliptin 1 233 0,76 0,57 = Other Antidiabetics 5 1528 OTHER CANCER (2004-2009) Exenatide 267 1114 0,80 8x10-3 * Sitagliptin 55 233 1,28 0,13 Other Antidiabetics 460 1528
ROR cumulative No. of Reports 5 5000 Weber effect Notoriety bias FDA approval 4500 (April 28, 2005) 4 4000 New indication with TZD (December 22, 2006) FDA ALERT UPDATE 3500 ROR cumulative with 95%CI (August 18, 2008) No. of Reports 3 3000 FDA ALERT (October, 2007) 2500 2 2000 1500 1 1000 500 0 0 2005-Q4 2006-Q1 2007-Q4 2008-Q1 2009-Q4 2005-Q2 2005-Q3 2006-Q2 2006-Q3 2006-Q4 2007-Q1 2007-Q2 2007-Q3 2008-Q2 2008-Q3 2008-Q4 2009-Q1 2009-Q2 2009-Q3 Year-Quarter
INIBITORI DEL CHECKPOINT IMMUNITARIO: una sfida per clinico, farmacologo e farmacoepidemiologo J Clin Oncol. 2012 Jul 20;30(21):2691-7
Inibitori del checkpoint immunitario: analisi di disproporzionalità 2018-19 Lancet Diabetes care Circulation JAMA Oncology Lancet Oncology The Oncologist
Tossicità immuno-relate degli inibitori del checkpoint: input dalla FarmacoVig per la FarmacoEpi Hypophysitis/adrenal insufficiency Hepatitis/cholangitis (anti-CTLA4 drugs) (anti-PD1/PDL1 drugs) 2,266 209 2,061 52 366 310 6,542 Pneumonitis (anti-PD1/PDL1 drugs) JAMA Oncol. 2018 Dec 1;4(12):1721-1728 Targeted Oncol 2019 accepted for pubblication
La sfida che ci attende…
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