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Sopranzi FM, Faragalli A, Pompili M, Carle F, Gesuita R, Ceravolo MG. Incidence of amyotrophic lateral sclerosis before and during the COVID-19 pandemic: evidence from an 8-year population-based study in Central Italy based on healthcare utilization databases. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:554-562. [PMID: 38557366 DOI: 10.1080/21678421.2024.2336127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 03/17/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disorder with a high multidimensional burden, with an obscure etiopathogenesis. METHODS We designed a longitudinal, population-based study of people residing in Central Italy (Marche Region) who were beneficiaries of the National Health System. People with an unprecedented ALS hospitalization (335.20 ICD-9 CM) or tagged with an ALS exemption between 2014 and 2021 were considered incident cases. ALS cases residing in the region for <3 years or with an active ALS exemption or hospitalized for ALS before 2014 were excluded. We used secondary sources to identify new ALS diagnoses. The regional referral center for ALS's database was used to test the accuracy of secondary sources in detecting cases. ALS mean incidence was compared to that reported in similar studies conducted in Italy. The incidence rate trend adjusted by sex and age was evaluated using the Poisson regression model. RESULTS We detected 425 new ALS cases (median age: 70y) in the 2014-2021 period, with a mean incidence of 3.5:100,000 py (95%CI: 3.2-3.8; M:F = 1.2), similar to that reported in similar studies conducted in Italy. No trend was observed during 2014-2019. After including 2020-2021 in the model, we observed a mean decrease in incidence of 5.8% (95% CI 2.0%; 9.5%, p = 0.003). CONCLUSION We show a decrease in the incidence rate of ALS in Marche, during the 2014-2021 period, as a possible outcome of a delayed neurological assessment and diagnosis during the pandemic. An ad hoc developed identification algorithm, based on healthcare utilization databases, is a valuable tool to assess the health impact of global contingencies.
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Affiliation(s)
- Federico Maria Sopranzi
- Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy
| | - Andrea Faragalli
- Center of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, Italy
- Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy, and
| | | | - Flavia Carle
- Center of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, Italy
- Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy, and
| | - Rosaria Gesuita
- Center of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, Italy
- Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy, and
| | - Maria Gabriella Ceravolo
- Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy
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Iommi M, Gonnelli F, Bonifazi M, Faragalli A, Mei F, Pompili M, Carle F, Gesuita R. Understanding Patterns of Adherence to Antifibrotic Treatment in Idiopathic Pulmonary Fibrosis: Insights from an Italian Prospective Cohort Study. J Clin Med 2024; 13:2727. [PMID: 38731256 PMCID: PMC11084189 DOI: 10.3390/jcm13092727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/30/2024] [Accepted: 05/04/2024] [Indexed: 05/13/2024] Open
Abstract
Background: Pirfenidone and Nintedanib have significantly improved the prognosis of patients with idiopathic pulmonary fibrosis (IPF), reducing mortality risk and exacerbations. This study aimed to analyze antifibrotic treatment utilization and its association with clinical outcomes (i.e., acute exacerbation or death) during 2014-2021 in newly diagnosed IPF patients, using Healthcare Utilization Databases of the Marche Region, Italy. Methods: The first 12-month adherence to antifibrotic was estimated using the Proportion of Days Covered (PDC), defining adherence as PDC ≥ 75%. State Sequence Analysis over the initial 52 weeks of treatment was used to identify adherence patterns. The role of adherence patterns on acute exacerbations/death, adjusted by demographic, clinical features, and monthly adherence after the 52-week period (time-dependent variable), was assessed with Cox regression. Results: Among 667 new IPF cases, 296 received antifibrotic prescriptions, with 62.8% being adherent in the first year. Three antifibrotic utilization patterns emerged-high adherence (37.2%), medium adherence (42.5%), and low adherence (20.3%)-with median PDCs of 95.3%, 79.5%, and 18.6%, respectively. These patterns did not directly influence three-year mortality/exacerbation probability, but sustained adherence reduced risk over time. Conclusions: Good adherence was observed in in this population-based study, emphasizing the importance of continuous antifibrotics therapy over time to mitigate adverse outcomes.
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Affiliation(s)
- Marica Iommi
- Center of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, 60126 Ancona, Italy; (M.I.); (F.C.); (R.G.)
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
| | - Francesca Gonnelli
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
| | - Martina Bonifazi
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
- Interstitial Lung Diseases, Pleural Diseases and Bronchiectasis Unit, Azienda Ospedaliero-Universitaria “Ospedali Riuniti”, 60126 Ancona, Italy
| | - Andrea Faragalli
- Center of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, 60126 Ancona, Italy; (M.I.); (F.C.); (R.G.)
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
| | - Federico Mei
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
- Interstitial Lung Diseases, Pleural Diseases and Bronchiectasis Unit, Azienda Ospedaliero-Universitaria “Ospedali Riuniti”, 60126 Ancona, Italy
| | - Marco Pompili
- Regional Health Agency of Marche, 60121 Ancona, Italy;
| | - Flavia Carle
- Center of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, 60126 Ancona, Italy; (M.I.); (F.C.); (R.G.)
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
- Regional Health Agency of Marche, 60121 Ancona, Italy;
- National Centre for Healthcare Research and Pharmacoepidemiology, 20126 Milan, Italy
| | - Rosaria Gesuita
- Center of Epidemiology, Biostatistics and Medical Information Technology, Università Politecnica delle Marche, 60126 Ancona, Italy; (M.I.); (F.C.); (R.G.)
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60126 Ancona, Italy; (F.G.); (M.B.); (F.M.)
- National Centre for Healthcare Research and Pharmacoepidemiology, 20126 Milan, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico Istituto Nazionale di Ricovero e Cura per Anziani, 60121 Ancona, Italy
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Iommi M, Faragalli A, Bonifazi M, Mei F, Latini LL, Pompili M, Carle F, Gesuita R. Prognosis and Survival in Idiopathic Pulmonary Fibrosis in the Era of Antifibrotic Therapy in Italy: Evidence from a Longitudinal Population Study Based on Healthcare Utilization Databases. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16689. [PMID: 36554568 PMCID: PMC9779053 DOI: 10.3390/ijerph192416689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/30/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
The aim was to evaluate the determinants of acute exacerbation (AE) and death in new cases of idiopathic pulmonary fibrosis (IPF) using administrative databases in the Marche Region. Adults at their first prescription of antifibrotics or hospitalization with a diagnosis of IPF occurring in 2014-2019 were considered as new cases. Multiple Cox regression was used to estimate the risk of AE and of all-cause mortality adjusted by demographic and clinical characteristics, stratifying patients according to antifibrotic treatment. Overall, 676 new cases of IPF were identified and 276 deaths and 248 AE events occurred. In never-treated patients, the risk of AE was higher in patients with poor health conditions at diagnosis; the risk of death was higher in males, in patients aged ≥75 and in those with poor health conditions at baseline. The increasing number of AEs increased the risk of death in treated and never-treated patients. Within the limits of an observational study based on secondary data, the combined use of healthcare administrative databases allows the accurate analysis of progression and survival of IPF from the beginning of the antifibrotic therapy era, suggesting that timely and early diagnosis is critical to prescribing the most suitable treatment to increase survival and maintain a healthy life expectancy.
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Affiliation(s)
- Marica Iommi
- Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
| | - Andrea Faragalli
- Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
| | - Martina Bonifazi
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
- Respiratory Diseases Unit, Azienda Ospedaliero-Universitaria “Ospedali Riuniti”, 60166 Ancona, Italy
| | - Federico Mei
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
- Respiratory Diseases Unit, Azienda Ospedaliero-Universitaria “Ospedali Riuniti”, 60166 Ancona, Italy
| | - Lara Letizia Latini
- Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
- Respiratory Diseases Unit, Azienda Ospedaliero-Universitaria “Ospedali Riuniti”, 60166 Ancona, Italy
| | - Marco Pompili
- Regional Health Agency of Marche, 60121 Ancona, Italy
| | - Flavia Carle
- Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, 20126 Milano, Italy
| | - Rosaria Gesuita
- Center of Epidemiology Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, 60121 Ancona, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, 20126 Milano, Italy
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