The multidisciplinary team reduces the time to idiopathic pulmonary fibrosis diagnosis in a real-life setting.

Tiziana LA Blasca, Alida Benfante, Riccardo Messina, Emanuele Grassedonio, Salvatore Battaglia, Giada Capizzi, Irene DI Leo, Laura Napoli, Sergio Palma, Pietro Provinzano, Alessandra Tomasello, Nicola Scichilone
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引用次数: 0

Abstract

Background: Early diagnosis of idiopathic pulmonary fibrosis (IPF) is fundamental to slow disease progression; multidisciplinary teams (MDTs) play a central role in posing the final diagnosis of IPF, thus aiming to improve patient outcomes. However, the practical implementation of MDTs in clinical real-life settings may be hindered by the lack of local expertise or time constraints, with the diagnosis being made without the support of complementary professional health care figures. This study aims to evaluate the impact of MDT meetings on the latency between the symptom onset and the final diagnosis of IPF.

Methods: Patients referred to a regional center for IPF between January 2019 and August 2019 were included. The length of time to pose a definite diagnosis by means of MDT evaluation was compared with that of patients diagnosed elsewhere (no MDT evaluation) in an observational case-control investigation.

Results: Among 24 IPF patients, those evaluated by MDT (M/F: 14/2, age: 69.8±8.2 yrs) showed a time interval from the first outpatient visit to the definite diagnosis of 3±2.3 months; on the other hand, patients in the control group (M/F: 7/1, age: 76.9±7.7 yrs) showed a time interval of 12.8±9.4 months (P=0.02). The time elapsed between the onset of symptoms and the definite diagnosis was 11.1±5.3 months for patients evaluated within the MDT, compared to 33.8±21.5 months for the control group (P=0.02).

Conclusions: These exploratory findings confirm the essential role of the MDT in the early diagnosis of IPF, thus discouraging the acquisition of diagnosis solely on individual basis. The current findings highlight the need for the implementation of MDTs in clinical practice to optimize patient care.

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