ABSTRACT
INTRODUCTION: Amyloidosis is a group of protein misfolding disorders leading to organ damage due to insoluble amyloid fibril deposits ⢠The two primary types of cardiac amyloidosis are light-chain amyloid (AL) and transthyretin (TTR) cardiac amyloidosis ⢠TTR amyloidosis can be hereditary (hATTR) or age-related (wtATTR). It is an often-overlooked cause of heart failure in older adults ⢠Recent studies reveal its prevalence in various patient groups: up to 13% in HFpEF, 16% in aortic stenosis patients undergoing valve replacement, 7-8% in carpal tunnel release surgery, and 17% in some other contexts ⢠ATTR-CM is significant in the context of cardiovascular diseases, a leading global cause of death. OBJECTIVE: This study aimed 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. MATERIALS AND 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 (Figure 1) using a supervised machine learning (Figure 2) model, with data extracted from DATASUS outpatient and inpatient datasets 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 (Figure 3). RESULTS: From 2015 to 2021, the ML model classified 262 hATTR-CM (213 reference hATTR-CIM and 49 hATTR-CM-like) and 1,581 wtATTR-CM (203 reference wtATTR-CM and 1,378 wtATTR-CM-like). 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, with similar procedures performed (Figure 4). Regarding healthcare utilization, hATTR-CM and hATTR-CM-like had similar profiles on proportion of patients with outpatient visits (hATTR-CM 98.0% vs. 92.0% hATTR-CM-like) and different profile related to proportion of hospitalized patients (hATTR-CM 94.4% vs. 32.7% hATTR-CM-like) (Figure 5) ⢠In wtATTR-CM groups, although both proportions on outpatient visits and hospitalizations were similar, the length of stay (LOS) on hospitalizations was different in wtATTR-CM-like (wtATTR-CM median LOS 5.0 (IQR:2.0 - 10.0] vs. median LOS 7.0 [IQR:3.0 - 14.0]). CONCLUSIONS: Our findings may be useful to support decreasing the uncertainties on ATTR-CM population size in Health Technology Assessment appraisals and in the development of healthcare guidelines and policies to address patients' unmet needs and to improve early diagnosis and access to treatment for patients with ATTR-CM in Brazil This study puts a spotlight on the ATTR-CM underdiagnosis in Brazil using a machine learning approach, which can be used as an important tool to support diagnosis improvement.
Subject(s)
Humans , Prealbumin , Amyloidosis, FamilialABSTRACT
OBJETIVO: Identificar na literatura as complicações relacionadas às alterações fisiológicas do paciente, à equipe multidisciplinar e ao uso de equipamentos durante o transporte intra-hospitalar de pacientes críticos. MÉTODOS: Revisão integrativa da literatura, com busca nas bases de dados PUBMED, MEDLINE, e LILACS. RESULTADOS: Foram encontrados 20 artigos, todos escritos na língua inglesa. Os estudos mostraram que as alterações na pressão arterial e na frequência cardíaca são as mais comuns durante o transporte. Dos eventos adversos relacionados a problemas com a equipe, destacaram-se, a falta de conhecimento do profissional e a falha de comunicação, além dos provenientes dos equipamentos utilizados. CONCLUSÃO: Transportar o paciente crítico de maneira segura significa melhorar a comunicação entre as equipes, padronizar as ações e equipamentos utilizados por meio de protocolos e identificar intercorrências para obter excelência no atendimento durante o transporte.
OBJECTIVE: To identify in the literature the complications related to physiological changes of the patient, the multidisciplinary team and the use of equipment during the intrahospital transport of critically ill patients. METHODS: Integrative review of literature, through a search in the databases of PubMED, MEDLINE, and LILACS. RESULTS: We encountered 20 articles, all written in the English language. Studies have shown that changes in arterial pressure and heart rate are most common during transport. Of the adverse events related to problems with the team, the lack of knowledge of the professional and failure of communication stood out, apart from those derived from equipment used. CONCLUSION: Transporting the critically ill patient safely requires improving communication between teams, standardizing the actions and equipment used by means of protocols, and identifying opportunities to obtain excellence in service during transport.
OBJETIVO: Identificar en la literatura las complicaciones relacionadas a las alteraciones fisiológicas del paciente, al equipo multidisciplinario y al uso de equipamientos durante el transporte intrahospitalario de pacientes críticos. MÉTODOS: Revisión integrativa de la literatura, con búsqueda en las bases de datos PUBMED, MEDLINE, y LILACS. RESULTADOS: Fueron encontrados 20 artículos, todos escritos en el idioma inglés. Los estudios mostraron que las alteraciones en la presión arterial y en la frecuencia cardíaca son las más comunes durante el transporte. De los eventos adversos relacionados a problemas con el equipo, se destacaron, la falta de conocimiento del profesional y la falla en la comunicación, además de los provenientes de los equipamientos utilizados. CONCLUSIÓN: Transportar al paciente crítico de manera segura significa mejorar la comunicación entre los equipos, patronizar las acciones y equipamientos utilizados por medio de protocolos e identificar complicaciones para obtener excelencia en la atención durante el transporte.