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Pharmacovigilance to inform policy: experience in South Africa

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1 Pharmacovigilance to inform policy: experience in South Africa
Karen Cohen Division of Clinical Pharmacology University of Cape Town

2 HIV programmatic pharmacovigilance
Pharmacovigilance: “Detection, assessment, understanding and prevention of short and long term  adverse effects of  medicines” Clinical studies short Co-morbidities, concomitant medicines, genetic variability Risk versus benefit: early treatment initiation prevention Focus on serious adverse drug reactions (ADRs) Resulting in hospitalisation and death Treatment limiting ADRs- drug substitutions

3 South African context Largest ARV treatment programme in the world
± 3 million people on ART High rates of concomitant HIV and TB treatment Growing burden of non-communicable diseases Methods: Hospital-based surveys Sentinel Cohorts Spontaneous reporting

4 Hospital-based surveillance
4 South African hospitals in 2013 8.4% medical admissions in SA due to ADR (164/1951) (Worldwide 5.3% of admissions) ART, TB treatment and/or co-trimoxazole implicated in 34% In 16% of in-hospital deaths ADR implicated (56/357) Most commonly implicated: tenofovir, rifampicin, co-trimoxazole ADR contributed to death of 2.9% of medical admissions (Europe, UK, USA 0.05 to 0.32% of admissions) Make less busy Mouton et al 2015 Br J Clin Pharmacol 80(4); Mouton et al 2016 Medicine 95(9);Kongkaew Ann Pharmacother. 2008; 42: 1017 ; Juntti-Patinen et al 2002 Eur J Clin Pharmacol 58; Davies et al 2009 PloS ONE 4:e4439; Pirmohamed et al 2004 BMJ 329 ; Lazarou et al 1998 JAMA 279: 1200

5 Hospital-based surveillance
Top 4 ADRs resulting in medical admission in South African hospitals (n=1951) Renal impairment (n=24) Hypoglycaemia (n=22) Liver injury (n=20) Haemorrhage (n=19) Median age (yrs) 41 61 35 67 HIV infection 71% 5% 90% 16% Commonly implicated drugs tenofovir (46%) ACE-I (38%) insulin (64%) sulfonylureas(50%) TB drugs (60%) efavirenz (20%) warfarin (68%) NSAIDs (32%) Mortality 46% 18% 35% Median stay 9 days 6 days 10 days Preventable 77% 15% 58% Make less busy ADRs in HIV patients- high mortality, prolonged admission Importance of looking at all drug exposures Mouton et al 2016 Medicine 95(9)

6 Sentinel cohorts Robust denominator data
Valuable resource for ADR surveillance Requires fewer resources than setting up cohorts solely for toxicity surveillance (Cohort event monitoring) Robust denominator data Can determine incidence of treatment-limiting ADRs Can identify risk factors Cohort collaborations increase study power Important for studying rare but serious events

7 Data on stavudine toxicity from sentinel cohorts informed policy
Adults on first-line ART in 2 Western Cape cohorts (Khayelitsha and Gugulethu) Proportion having drug substituted Just picture Time on individual drug (yrs) 2007: 30 mg all weights, point of care lactate meters, avoidance in obesity, education HCW Dramatic decrease referral rates, severity at admission, mortality Boulle et al Antivir Ther;12:753; Schutz 2010 AIDS Res Ther, 7:13

8 ARV exposure and diabetes
Diabetes incidence: 13.24 per 1000 PYFU Associations with diabetes: Older ager Higher BMI Efavirenz, zidovudine and stavudine exposure Other diabetogenic meds Percentage with new onset diabetes Time on antiretroviral therapy (yrs) Karamchand et al 2016 Medicine 95(9)

9 Spontaneous reporting
Does not give prevalence/incidence Signal detection ADRs that trouble HCWs Guide HCW training and clinical support Nurse-driven services Need responsive systems Telephonic; online reporting in addition to paper-based Prompt, individualised feedback and clinical support SA National HIV & TB HCW hotline most frequent ADRs: Rash (efavirenz) Liver injury (tuberculosis treatment and efavirenz) Kidney injury (tenofovir) Gynaecomastia (efavirenz) Neuropsychiatric (efavirenz) Chugley et al 2015 AIDS 29: Njuguna et al 2015 Drug Saf doi: /s

10 Conclusions Pattern of ADRs is different in SA
Large burden of serious ADRs in PLWHA and/or TB ADRs due to ARVs AND concomitant medicines Resource limited settings Create systems that can address multiple questions Communication and feedback

11 Acknowledgements National Dept of Health SA CDC and PEPfAR
Mukesh Dheda Yogan Pillay CDC and PEPfAR Ehimario Igumbor Getahun Aynalem UCT Division of Clinical Pharmacology Hannes Mouton Christine Njuguna Annemie Stewart Melony Fortuin- de Smidt Marc Blockman Gary Maartens Annoesjka Swart Jackie Jones Medicines Information Centre Hospital sentinel sites Douglas Wilson Andy Parrish Peter Raubenheimer Karl Technau UCT School of Public Health Mary-Ann Davies Renee De Waal Ushma Mehta Andrew Boulle IeDEA-SA data centre staff Patients Health care workers who report

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14 Top 5 ADRs causing admission
Renal impairment Hypoglycaemia Liver injury Haemorrhage Blood dyscrasia Median age (yrs) 41 61 35 67 HIV infection 71% 5% 90% 16% 79% Commonly implicated drugs tenofovir (46%) ACE-I (38%) insulin (64%) sulfonylureas (50%) TB drugs (60%) efavirenz (20%) warfarin (68%) NSAIDs (32%) cotrimoxazole (29%) Mortality 46% 18% 35% 14% Median stay 9 days 6 days 10 days

15 Adverse drug reaction (ADR)
Pharmacovigilance Detection, assessment, understanding and prevention of short and long term  adverse effects of  medicines Adverse drug reaction (ADR) A response to a medicine which is noxious and unintended, and which occurs at doses normally used in humans (WHO).

16 Tenofovir and renal function monitoring
Incidence of eGFR<30mL/min: 15/1000 person years (95%CI 14 to 17) Older patients, advanced disease, baseline renal impairment, PI at risk Implication for monitoring guidelines De Waal et al TUPEB035

17 Sentinel cohort data for ADR analyses
Data cleaning including record review to resolve queries Requires resources Drug starts and stops not always accurately recorded Reasons for single drug substitutions Linkage outpatient cohorts to hospitalisation events Improved recording of pregnancy data in cohorts


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