Patterns of self-rated health trajectories and associated factors in ELSA-Brasil.

To describe patterns of self-rated health (SRH) trajectories and investigate their association with sociodemographic, occupational, and health factors. The sample consisted of 7,738 active public servants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), evaluated from 2008 to 2020. The patterns of SRH trajectories were obtained by eleven time points, using the latent class growth curve.

Use of Digital Tools in Arbovirus Surveillance: Scoping Review.

Background: The development of technology and information systems has led to important changes in public health surveillance.

Objective: This scoping review aimed to assess the available evidence and gather information about the use of digital tools for arbovirus (dengue virus [DENV], zika virus [ZIKV], and chikungunya virus [CHIKV]) surveillance.

Methods: The databases used were MEDLINE, SCIELO, LILACS, SCOPUS, Web of Science, and EMBASE.

Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.

Background: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle influences, and metabolic diseases such as diabetes, and hypertension. While the physiological pathways linking metabolic and cardiovascular diseases have been investigated, the study of the sex and population differences in the CMC have still not been described.

Methods: We present a machine learning approach to model the CMC and investigate sex and population differences in two distinct cohorts: the UK Biobank (17,700 participants) and the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) (7162 participants).

Multimorbidity prevalence and patterns at the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Background: To identify multimorbidity patterns, by sex, according to sociodemographic and lifestyle in ELSA-Brasil.

Methods: Cross-sectional study with 14,516 participants from ELSA-Brasil (2008-2010). Fuzzy c-means was used to identify multimorbidity patterns of 2+ chronic morbidities, where the consequent morbidity had to occur in at least 5% of all cases.

Advanced glycation end product: A potential biomarker for risk stratification of non-alcoholic fatty liver disease in ELSA-Brasil study.

Background: Liver diseases are associated with the excess formation of advanced glycation end products (AGEs), which induce tissue inflammation and oxidative damage. However, the trend of oxidative marker levels according to the steatosis grade in non-alcoholic fatty liver disease (NAFLD) is unclear.

Aim: To compare serum AGE levels between participants with NAFLD accordingly to steatosis severity in the baseline ELSA-Brasil population.

Identifying patterns of diurnal blood pressure variation among ELSA-Brasil participants.

Ambulatory blood pressure monitoring (ABPM) is the gold standard method for the diagnosis of hypertension. ABPM provides a set of repeated measurements for blood pressure (BP), usually over 24 h. Traditional approaches characterize diurnal BP variation by single ABPM parameters such as average and standard deviation, regardless of the temporal nature of the data.

Impact of protocol change on individual factors related to course of adverse reactions to chemotherapy for breast cancer.

Purpose: Asthenia, myalgia, arthralgia, mucositis, abdominal pain, diarrhea, and neutropenia are adverse reactions commonly reported by women undergoing chemotherapy. Traditional approaches do not take into account the effect that chemotherapeutic changes and variable interactions can cause in adverse reactions. We aimed to identify the impact of the change of a chemotherapy protocol within the same treatment in profiles associated with adverse reactions.

Effect of UGT1A1, UGT1A3, DIO1 and DIO2 polymorphisms on L-thyroxine doses required for TSH suppression in patients with differentiated thyroid cancer.

Aim: To evaluate the impact of genetic polymorphisms in uridine 5'-glucuronosylytansferases UGT1A1 and UGT1A3 and iodothyronine-deiodinases types 1 and 2 on levothyroxine (T4 ; 3,5,3',5'-triiodo-L-thyronine) dose requirement for suppression of thyrotropin (TSH) secretion in patients with differentiated thyroid cancer (DTC).

Methods: Patients (n = 268) submitted to total thyroidectomy and ablation by (131) I, under T4 therapy for at least 6 months were recruited in three public institutions in Brazil. Multivariate regression modelling was applied to assess the association of T4 dosing with polymorphisms in UGT1A1 (rs8175347), UGT1A3 (rs3806596 and rs1983023), DIO1 (rs11206244 and rs2235544) and DIO2 (rs225014 and rs12885300), demographic and clinical variables.

Pharmacogenomic implications of population admixture: Brazil as a model case.

The heterogeneous Brazilian population, with European, African and Amerindian ancestral roots is a model case for exploring the impact of population admixture on the frequency distribution of polymorphisms in pharmacogenes, and the design and interpretation of pharmacogenomics trials. Examples drawn from studies carried out by researchers of the Brazilian pharmacogenomics network, support the following conclusions: the distribution of polymorphisms varies across geographical regions and self-reported 'race/color' categories, and is best modeled as continuous functions of individual proportions of European and African ancestry; the differential frequency of polymorphisms impacts the calculations of sample sizes required for adequate statistical power in clinical trials performed in different segments of the Brazilian population; and extrapolation of pharmacogenomics data from well-defined ethnic groups to Brazilians is plagued with uncertainty. Data for warfarin and tacrolimus are reviewed to highlight the advantages and challenges of performing pharmacogenomic trials in Brazilians.