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First EFIC® Symposium Societal Impact of Pain - SIP

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26<br />

Giovanni Apolone<br />

Giovanni Apolone, MD<br />

Head<br />

Lab. for the Translational & Outcome Research<br />

Head<br />

Center for the Evaluation & Research on <strong>Pain</strong><br />

Dept. <strong>of</strong> Oncology<br />

Istituto di Ricerche Farmacologiche<br />

„Mario Negri“<br />

Via La Masa 19, 20156 Milan – Italy<br />

+ 39 02 39014-515<br />

www.marionegri.it<br />

Background<br />

Most patients with advanced or metastatic<br />

cancer experience pain and despite several<br />

guidelines, inadequate treatment is well documented<br />

and can involve up to 43% <strong>of</strong> cases. In<br />

Italy cancer pain management is a major problem<br />

as opioid consumption rates are among<br />

the lowest in Europe.<br />

Methods<br />

Data were obtained from a multi-center, openlabel,<br />

prospective, non-randomized study<br />

launched in Italy in 2006 to evaluate the epidemiology,<br />

pattern and quality <strong>of</strong> care in cancer<br />

patients. Data were collected using a webbased<br />

standardized system that allowed the<br />

collection <strong>of</strong> several patients and physicians reported<br />

information and outcomes, mostly related<br />

to pain and pain effects. To assess analgesic<br />

care adequacy, we used a standardized<br />

measure, the <strong>Pain</strong> Management Index (PMI)<br />

that compares the most potent analgesic prescribed<br />

for a patient with that patient’s reported<br />

level <strong>of</strong> worst pain together with a selected<br />

list <strong>of</strong> clinical indicators. Univariate and<br />

multivariable methods were used to assess<br />

the relationship between PMI and potential predictors.<br />

Results<br />

One hundred and ten centers recruited 1,801<br />

valid cases. Patients had severe pain (mean<br />

worst pain at baseline= 6.8), half had bone<br />

metastases, episodes <strong>of</strong> breakthrough pain<br />

and were still on active anti-cancer treatment,<br />

59% were recruited by oncologic centers, and<br />

most were not aware <strong>of</strong> their prognosis. Sixtyone<br />

per cent <strong>of</strong> cases were receiving a WHOlevel<br />

III opioid. In the whole sample 25.1% were<br />

classified as potentially inadequately treated,<br />

with large variations (from 9.8 to 55.3%) according<br />

to variables describing patients, centres<br />

and pattern <strong>of</strong> care. After adjustment with<br />

a multivariable logistic regression model, type<br />

<strong>of</strong> recruiting centers, receiving adjuvant therapy<br />

or not and type <strong>of</strong> patient recruited (new<br />

versus already on follow-up) had a significant<br />

association with inadequate treatment (odds<br />

ratio >1.2 and p-value

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