Article ; Online: Assessment of potential transthyretin amyloid cardiomyopathy cases in the Brazilian public health system using a machine learning model.
2024 Volume 19, Issue 2, Page(s) e0278738
Abstract: Objectives: To identify and describe the profile of potential transthyretin cardiac amyloidosis (ATTR-CM) cases in the Brazilian public health system (SUS), using a predictive machine learning (ML) model.: Methods: This was a retrospective ... ...
| Abstract | Objectives: To identify and describe the profile of potential transthyretin cardiac amyloidosis (ATTR-CM) cases in the Brazilian public health system (SUS), using a predictive machine learning (ML) model. Methods: This was a retrospective descriptive database study that aimed to estimate the frequency of potential ATTR-CM cases in the Brazilian public health system using a supervised ML model, from January 2015 to December 2021. To build the model, a list of ICD-10 codes and procedures potentially related with ATTR-CM was created based on literature review and validated by experts. Results: From 2015 to 2021, the ML model classified 262 hereditary ATTR-CM (hATTR-CM) and 1,581 wild-type ATTR-CM (wtATTR-CM) potential cases. Overall, the median age of hATTR-CM and wtATTR-CM patients was 66.8 and 59.9 years, respectively. The ICD-10 codes most presented as hATTR-CM and wtATTR-CM were related to heart failure and arrythmias. Regarding the therapeutic itinerary, 13% and 5% of hATTR-CM and wtATTR-CM received treatment with tafamidis meglumine, respectively, while 0% and 29% of hATTR-CM and wtATTR-CM were referred to heart transplant. Conclusion: Our findings may be useful to support the development of health guidelines and policies to improve diagnosis, treatment, and to cover unmet medical needs of patients with ATTR-CM in Brazil. |
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| MeSH term(s) | Humans ; Brazil/epidemiology ; Prealbumin ; Public Health ; Retrospective Studies ; Machine Learning ; Amyloidosis ; Cardiomyopathies/diagnosis ; Cardiomyopathies/epidemiology ; Amyloid Neuropathies, Familial/diagnosis ; Amyloid Neuropathies, Familial/epidemiology |
| Chemical Substances | Prealbumin |
| Language | English |
| Publishing date | 2024-02-15 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2267670-3 |
| ISSN | 1932-6203 ; 1932-6203 |
| ISSN (online) | 1932-6203 |
| ISSN | 1932-6203 |
| DOI | 10.1371/journal.pone.0278738 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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