Predictive value of functional disability scales among stroke survivors: A long-term mortality evaluation in a Brazilian stroke cohort.

OBJECTIVE: To assess the influence of two functional scales- Modified Rankin Scale (m-RS) and Modified Katz Index (m-Katz Index) on long-term mortality in a stroke cohort. MATERIAL AND METHODS: Among 760 stroke survivors (median age: 66 (IQR:56-75), 56.4 % women) m-Katz Index and m-RS scales applied at 1 and 6 months after stroke, were investigated in relation to 12-years of all-cause mortality. Kaplan-Meier survival curves were computed, and time-varying covariate Cox regression models were fitted to calculate hazard ratios (HRs) with 95 % confidence intervals (CIs) in all sample and by sex. The prognostic ability of the fitted models was computed for each model by six different measures. RESULTS: After 12 years of follow-up (median survival time: 7.3 years), 311 participants died. Overall survival curves show lower survival rates among those with the highest levels of disability/dependence (all log-rank p-values <0.0001). These findings were confirmed in all regression models for both sexes, particularly in men who had higher levels of dependence on Activities of Daily Living (ADLs) by m-Katz Index and severe disability by m-RS and presented the highest HR of dying (HR: 3.34 (95 %CI: 2.27-4.92) and HR: 4.94 (95 % CI: 3.15-7.75), respectively). CONCLUSIONS: Both the m-Katz Index and the m-RS scale were good predictors of long-term mortality, which is of importance for guiding the functional rehabilitation of stroke patients. Besides, high levels of disability and dependence were implicated with high mortality risks, regardless of sex.

Is the expansion of the subway network alone capable of improving local air quality? A study case in São Paulo, Brazil.

One of the policies adopted to reduce vehicular emissions is subway network expansion. This work fitted interrupted regression models to investigate the effects of the inauguration of subway stations on the mean, trend, and seasonality of the NO, NO2, NOx, and PM10 local concentrations. The regions investigated in the city of São Paulo (Brazil) were Pinheiros, Butantã, and St. Amaro. In Pinheiros, after the inauguration of the subway station, there were downward trends for all pollutants. However, these trends were not significantly different from the trends observed before. In Butantã, only regarding NO, there was a significant reduction and seasonal change after the subway station's inauguration. In St. Amaro, no trend in the PM10 concentration was noted. The absence of other transportation and land use policies in an integrative way to the subway network expansion may be responsible for the low air quality improvement. This study highlights that the expansion of the subway network must be integrated with other policies to improve local air quality.

Forecasting Covid-19 in the United Kingdom: A dynamic SIRD model.

Making use of a state space framework, we present a stochastic generalization of the SIRD model, where the mortality, infection, and underreporting rates change over time. A new format to the errors in the Susceptible-Infected-Recovered-Dead compartments is also presented, that permits reinfection. The estimated trajectories and (out-of-sample) forecasts of all these variables are presented with their confidence intervals. The model only uses as inputs the number of reported cases and deaths, and was applied for the UK from April, 2020 to Sep, 2021 (daily data). The estimated infection rate has shown a trajectory in waves very compatible with the emergence of new variants and adopted social measures. The estimated mortality rate has shown a significant descendant behaviour in 2021, which we attribute to the vaccination program, and the estimated underreporting rate has been considerably volatile, with a downward tendency, implying that, on average, more people are testing than in the beginning of the pandemic. The evolution of the proportions of the population divided into susceptible, infected, recovered and dead groups are also shown with their confidence intervals and forecast, along with an estimation of the amount of reinfection that, according to our model, has become quite significant in 2021. Finally, the estimated trajectory of the effective reproduction rate has proven to be very compatible with the real number of cases and deaths. Its forecasts with confident intervals are also presented.

Chronic inflammatory diseases, subclinical atherosclerosis, and cardiovascular diseases: Design, objectives, and baseline characteristics of a prospective case-cohort study ‒ ELSA-Brasil.

OBJECTIVES: This analysis describes the protocol of a study with a case-cohort to design to prospectively evaluate the incidence of subclinical atherosclerosis and Cardiovascular Disease (CVD) in Chronic Inflammatory Disease (CID) participants compared to non-diseased ones. METHODS: A high-risk group for CID was defined based on data collected in all visits on self-reported medical diagnosis, use of medicines, and levels of high-sensitivity C-Reactive Protein >10 mg/L. The comparison group is the Aleatory Cohort Sample (ACS): a group with 10% of participants selected at baseline who represent the entire cohort. In both groups, specific biomarkers for DIC, markers of subclinical atherosclerosis, and CVD morbimortality will be tested using weighted Cox. RESULTS: The high-risk group (n = 2,949; aged 53.6 ± 9.2; 65.5% women) and the ACS (n=1543; 52.2±8.8; 54.1% women) were identified. Beyond being older and mostly women, participants in the high-risk group present low average income (29.1% vs. 24.8%, p < 0.0001), higher BMI (Kg/m2) (28.1 vs. 26.9, p < 0.0001), higher waist circumference (cm) (93.3 vs. 91, p < 0.0001), higher frequencies of hypertension (40.2% vs. 34.5%, p < 0.0001), diabetes (20.7% vs. 17%, p = 0.003) depression (5.8% vs. 3.9%, p = 0.007) and higher levels of GlycA a new inflammatory marker (p < 0.0001) compared to the ACS. CONCLUSIONS: The high-risk group selected mostly women, older, lower-income/education, higher BMI, waist circumference, and of hypertension, diabetes, depression, and higher levels of GlycA when compared to the ACS. The strategy chosen to define the high-risk group seems adequate given that multiple sociodemographic and clinical characteristics are compatible with CID.

The impact of atrial fibrillation and long-term oral anticoagulant use on all-cause and cardiovascular mortality: A 12-year evaluation of the prospective Brazilian Study of Stroke Mortality and Morbidity.

BACKGROUND: Atrial fibrillation is a predictor of poor prognosis after stroke. AIMS: To evaluate atrial fibrillation and all-cause and cardiovascular mortality in a stroke cohort with low socioeconomic status, taking into consideration oral anticoagulant use during 12-year follow-up. METHODS: All-cause mortality was analyzed by Kaplan-Meier survival curve and Cox regression models to estimate hazard ratios and 95% confidence intervals (95% CI). For specific mortality causes, cumulative incidence functions were computed. A logit link function was used to calculate odds ratios (OR) with 95% CIs. Full models were adjusted by age, sex, oral anticoagulant use (as a time-dependent variable) and cardiovascular risk factors. RESULTS: Of 1121 ischemic stroke participants, 17.8% had atrial fibrillation. Overall, 654 deaths (58.3%) were observed. Survival rate was lower (median days, interquartile range-IQR) among those with atrial fibrillation (531, IQR: 46-2039) vs. non-atrial fibrillation (1808, IQR: 334-3301), p-log rank < 0.0001). Over 12-year follow-up, previous atrial fibrillation was associated with increased mortality: all-cause (multivariable hazard ratios, 1.82; 95% CI: 1.43-2.31) and cardiovascular mortality (multivariable OR, 2.07; 95% CI: 1.36-3.14), but not stroke mortality. In the same multivariable models, oral anticoagulant use was inversely associated with all-cause mortality (oral anticoagulant time-dependent effect: multivariable hazard ratios, 0.47; 95% CI: 0.30-0.50, p = 0.002) and stroke mortality (oral anticoagulant time-dependent effect ≥ 6 months: multivariable OR, 0.09; 95% CI: 0.01-0.65, p-value = 0.02), but not cardiovascular mortality. CONCLUSIONS: Among individuals with low socioeconomic status, atrial fibrillation was an independent predictor of poor survival, increasing all-cause and cardiovascular mortality risk. Long-term oral anticoagulant use was associated with a markedly reduced risk of all-cause and stroke mortality.

Self-reported versus actigraphy-assessed sleep duration in the ELSA-Brasil study: analysis of the short/long sleep duration reclassification.

PURPOSE: This study was aimed to determine the magnitude and predictors of self-reported short/long sleep duration (SDUR) reclassifications using objective measurements. METHODS: Adult participants from the ELSA-Brasil study performed self-reported SDUR, 7-day wrist actigraphy, and a portable sleep study. We explored two strategies of defining self-reported SDUR reclassification: (1) short and long SDUR defined by <6 and ≥8h, respectively; (2) reclassification using a large spectrum of SDUR categories (<5, 5-6, 7-8, 8-9, and >9 h). RESULTS: Data from 2036 participants were used in the final analysis (43% males; age: 49±8 years). Self-reported SDUR were poorly correlated (r=0.263) and presented a low agreement with actigraphy-based total sleep time. 58% of participants who self-reported short SDUR were reclassified into the reference (6-7.99 h) or long SDUR groups using actigraphy data. 88% of participants that self-reported long SDUR were reclassified into the reference and short SDUR. The variables independently associated with higher likelihood of self-reported short SDUR reclassification included insomnia (3.5-fold), female (2.5-fold), higher sleep efficiency (1.35-fold), lowest O2 saturation (1.07-fold), higher wake after sleep onset (1.08-fold), and the higher number of awakening (1.05-fold). The presence of hypertension was associated with a 3.4-fold higher chance of self-reported long SDUR reclassification. Analysis of five self-reported SDUR categories revealed that the more extreme is the SDUR, the greater the self-reported SDUR reclassification. CONCLUSION: In adults, we observed a significant rate of short/long SDUR reclassifications when comparing self-reported with objective data. These results underscore the need to reappraise subjective data use for future investigations addressing SDUR.

Chronic inflammatory diseases, subclinical atherosclerosis, and cardiovascular diseases: Design, objectives, and baseline characteristics of a prospective case-cohort study ‒ ELSA-Brasil

Abstract Objectives This analysis describes the protocol of a study with a case-cohort to design to prospectively evaluate the incidence of subclinical atherosclerosis and Cardiovascular Disease (CVD) in Chronic Inflammatory Disease (CID) participants compared to non-diseased ones. Methods A high-risk group for CID was defined based on data collected in all visits on self-reported medical diagnosis, use of medicines, and levels of high-sensitivity C-Reactive Protein >10 mg/L. The comparison group is the Aleatory Cohort Sample (ACS): a group with 10% of participants selected at baseline who represent the entire cohort. In both groups, specific biomarkers for DIC, markers of subclinical atherosclerosis, and CVD morbimortality will be tested using weighted Cox. Results The high-risk group (n = 2,949; aged 53.6 ± 9.2; 65.5% women) and the ACS (n=1543; 52.2±8.8; 54.1% women) were identified. Beyond being older and mostly women, participants in the high-risk group present low average income (29.1% vs. 24.8%, p < 0.0001), higher BMI (Kg/m2) (28.1 vs. 26.9, p < 0.0001), higher waist circumference (cm) (93.3 vs. 91, p < 0.0001), higher frequencies of hypertension (40.2% vs. 34.5%, p < 0.0001), diabetes (20.7% vs. 17%, p = 0.003) depression (5.8% vs. 3.9%, p = 0.007) and higher levels of GlycA a new inflammatory marker (p < 0.0001) compared to the ACS. Conclusions The high-risk group selected mostly women, older, lower-income/education, higher BMI, waist circumference, and of hypertension, diabetes, depression, and higher levels of GlycA when compared to the ACS. The strategy chosen to define the high-risk group seems adequate given that multiple sociodemographic and clinical characteristics are compatible with CID.

Correction: Mortality among blood donors seropositive and seronegative for Chagas disease (1996-2000) in São Paulo, Brazil: A death certificate linkage study.

[This corrects the article DOI: 10.1371/journal.pntd.0005542.].

Effectiveness of the Mobile Emergency Medical Services (SAMU): use of interrupted time series.

OBJECTIVE: To evaluate the performance of the Mobile Emergency Medical Services (SAMU) in the ABC Region, using myocardial infarction as tracer condition. METHODS: The analysis of interrupted time series was the approach chosen to test immediate and gradual effects of the intervention on the study population. The research comprised adjusted monthly time series of the hospital mortality rate by myocardial infarction in the period between 2000 and 2011. Data were extracted from the Mortality Information System (SIM), using segmented regression analysis to evaluate the level and trend of the intervention before and after its implementation. To strengthen the internal validity of the study, a control region was included. RESULTS: The analysis of interrupted time series showed a reduction of 0.04 deaths per 100,000 inhabitants in the mortality rate compared to the underlying trend since the implementation of the Emergency Medical Services (p = 0.0040; 95%CI: -0.0816 - -0.0162) and a reduction in the level of 2.89 deaths per 100,000 inhabitants (p = 0.0001; 95%CI: -4.3293 - -1.4623), both with statistical significance. Regarding the control region, Baixada Santista, the difference in the result trend between intervention outcome and post-intervention control of -0.0639 deaths per 100,000 inhabitants was statistically significant (p = 0.0031; 95%CI: -0.1060 - -0.0219). We cannot exclude confounders, but we limited their presence in the study by including control region series. CONCLUSIONS: Although the analysis of interrupted time series has limitations, this modeling can be useful for analyzing the performance of policies and programs. Even though the intervention studied is not a condition that in itself implies effectiveness, the latter would not be present without the former, which, integrated with other conditions, generates a positive result. SAMU is a strategy that must be expanded when formulating and consolidating policies focusing on emergency care.

Work-Family Conflict and Ideal Cardiovascular Health Score in the ELSA-Brasil Baseline Assessment.

Background There are few data about the association between work-related stress and the American Heart Association ideal cardiovascular health (CVH) metrics. We studied the association between work-family conflict (WFC) and ideal CVH scores in the ELSA-Brasil (Brazilian Longitudinal Study of Adult Health) baseline study. Methods and Results We analyzed data of active workers (5424 men and 5967 women), aged 35 to 74 years, from 2008 to 2010. Ideal CVH scores were calculated based on the lifestyle and health metrics proposed by the American Heart Association, using data from questionnaires and clinical and laboratory examinations from the ELSA-Brasil study baseline. The WFC questionnaire was based on the Frone model, validated for Brazilian Portuguese. WFC domains (time and strain-based work interference with family, family interference with work, and lack of time for personal care and leisure) and frequency (never to rarely, sometimes, or frequently) were self-reported. Main models were adjusted for age, sex, race, educational level, income, and study site. Positive relative predicted score differences (rPSDs) indicate higher predicted scores. We found lower lifestyle ideal CVH scores among men (rPSD, -5.7%; P=0.002) and women (rPSD, -10.2%; P<0.001) with frequent lack of time for personal care and leisure. We found lower lifestyle ideal CVH scores among women with frequent strain-based work interference with family (rPSD, -5.1%; P=0.002), and family interference with work (rPSD, -8.6%; P=0.001). We found higher health ideal CVH scores among men with frequent WFC, which may be attributable to reverse causation. Conclusions We found significant associations between WFC and ideal CVH scores. These associations were heterogeneous according to sex.

A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

One of the main problems of the decellularization technique is the subjectivity of the final evaluation of its efficacy in individual organs. This problem can result in restricted cell repopulation reproducibility and worse responses to transplant tissues. Our proposal is to analyze the optical profiles produced by hearts during perfusion decellularization, as an additional method for evaluating the decellularization process of each individual organ. An apparatus comprised of a structured LED source and photo detector on an adjustable base was developed to capture the relationship between transmitted light during the perfusion of murine hearts, and residual DNA content. Voltage-time graphic records were used to identify a nonlinear mathematical model to discriminate between decellularizations with remaining DNA above (Incomplete Decellularization) and below (Complete Decellularization) the standardized limits. The results indicate that temporal optical evaluation of the process enables inefficient cell removal to be predicted in the initial stages, regardless of the apparent transparency of the organ. Our open system also creates new possibilities to add distinct photo detectors, such as for specific wavelengths, image acquisition, and physical-chemical evaluation of the scaffold, in order to collect different kinds of information, from dozens of studies. These data, when compiled and submitted to machine learning techniques, have the potential to initiate an exponential advance in tissue bioengineering research.

Prognostic value of carotid intima-media in the short- and long-term mortality in the Strategy of Registry of Acute Coronary Syndrome (ERICO) study.

BACKGROUND AND AIMS: Atherosclerotic in carotids can determinate a poor prognosis in individuals after acute coronary syndrome (ACS). Thus, we aimed to evaluate mortality associated to carotid intima media thickness (CIMT) in the participants from the Strategy of Registry of Acute Coronary Syndrome (ERICO) study. METHODS: Carotid intima media thickness was evaluated by B-mode ultrasound for mortality risk assessment in 180 days, 1-3 years. We performed Kaplan-Meier survival curves and Cox logistic regression models to evaluate all-cause, cardiovascular (CVD) and coronary heart disease (CHD) mortality by CIMT tertiles in crude, age and sex- and multivariate models. RESULTS: Among 644 ACS individuals (median age 61-year old), we observed a median CIMT of 0.74 mm. Besides aging, low education, hypertension, diabetes, and dyslipidemia were associated with the 3rd tertile of CIMT values. During 3 years of follow-up, we observed 65 deaths (10.1%), crude case-fatality rates were progressively higher across the CIMT tertiles in all periods, being the highest rates observed in participants with the highest CIMT (3rd tertile) (180-day: 6.6% vs 1-year: 9.0% vs 2-year:12.3% vs 3-year:16.0%, P < .05). In crude analyses, lowest survival rates (all-cause, CVD and CHD, p log-rank values <0.005) and higher hazard ratios of dying for all-cause and CVD (from 1 to 3 years) and for CHD (2 and 3 years) were observed. However, we kept no significant results after adjusting for age. CONCLUSION: Carotid intima media thickness was mainly influenced by aging. CIMT was not a good predictor of all-cause, CVD or CHD mortality in the ERICO study.

Genetic polymorphism of calcium-sensing receptor in women with breast cancer.

Breast cancer is a disease of unknown etiology, whose major risk factors are genetic alterations. Polymorphism of the calcium-sensing receptor (CaSR) has been a focus of some recent studies, due to a probable association with breast cancer risk and tumor aggressiveness. A relationship between polymorphic rs17251221 variant of the CaSR gene, and allele G (considered a gain-of-function mutation) and breast cancer risk has been stressed, despite the paucity of studies found in the literature. The present study involved 137 women (69 women with breast cancer-case; and 68 controls without breast cancer) who had 3 ml of peripheral blood drawn for DNA study. Genomic DNA was extracted from leukocytes by genotyping technique with real-time polymerase chain reaction. The AG genotype (rs17251221) was present in 13 women (18.84%) from the case group and in 8 (11.76%) women from the control group (p = 0.3434), while the GG genotype (rs17251221) did not occur in any group. In contrast, no statistically significant difference was observed between the AG genotype of variant rs17251221 in premenopausal case and control women (p = 0.71). There was also no statistically significant difference between postmenopausal case and control patients (p = 0.6851). In the current study, CaSR gene polymorphism of SNP variant rs17251221 did not show any statistically significant association with breast cancer, in both premenopausal and postmenopausal women.

CUSUM chart to monitor autocorrelated counts using Negative Binomial GARMA model.

Cumulative sum control charts have been used for health surveillance due to its efficiency to detect soon small shifts in the monitored series. However, these charts may fail when data are autocorrelated. An alternative procedure is to build a control chart based on the residuals after fitting autoregressive moving average models, but these models usually assume Gaussian distribution for the residuals. In practical health surveillance, count series can be modeled by Poisson or Negative Binomial regression, this last to control overdispersion. To include serial correlations, generalized autoregressive moving average models are proposed. The main contribution of the current article is to measure the impact, in terms of average run length on the performance of cumulative sum charts when the serial correlation is neglected in the regression model. Different statistics based on transformations, the deviance residual, and the likelihood ratio are used to build cumulative sum control charts to monitor counts with time varying means, including trend and seasonal effects. The monitoring of the weekly number of hospital admissions due to respiratory diseases for people aged over 65 years in the city São Paulo-Brazil is considered as an illustration of the current method.

Combined effect of PCV10 and meningococcal C conjugate vaccination on meningitis mortality among children under five years of age in Brazil.

The 10-valent pneumococcal conjugate vaccine (PCV10) was introduced in the Brazilian National Immunization Program in March 2010, scheduled at 2, 4, and 6 months, with a booster at 12-15 months of age. The meningococcal C conjugate vaccine (MCC) was introduced in November 2010, scheduled at 3 and 5 months, with a booster dose at 12-15 months of age and no catch-up for older age groups. In this interrupted time-series analysis study, we used Brazilian mortality data from 2005 to 2015 for children under five years of age (excluding data from the state of Bahia) to assess the combined impact of these vaccines on the overall burden of meningitis mortality among children aged 0-23 months and 2-4 years, as defined using meningitis and meningococcemia specific International Classification of Diseases - tenth revision codes. Secular trends and seasonality were taken into account. We found significant reductions for both age groups relative to those observed for the comparison group of diseases, with immediate effects after the transition period (2010-2011) of 29.2% and 27.5% for children aged 0-23 months and 2-4 years, respectively. These immediate effects were sustained throughout the post-vaccination period (2012-2015). In total, 337 deaths were averted by the combined effect of both vaccines, 238 (95%CI 169-319) for children aged 0-23 months and 99 (95%CI 56-144) for those aged 2-4 years. These results add strong evidence in support of investments in these vaccines by low and middle-income countries.

Multimorbidities Are Associated to Lower Survival in Ischaemic Stroke: Results from a Brazilian Stroke Cohort (EMMA Study).

BACKGROUND: Stroke prognosis is related to the multimorbidity profile. Moreover, performing an individual evaluation of most common cerebrovascular risk factors (CVRF) not always identifies patients with poor prognosis. Thus, we decided to evaluate multimorbidity profile, focusing on the Charlson Comorbidity Index (CCI) validated by Goldstein for ischaemic stroke (IS) patients, a score that measures a burden of comorbidities and its related mortality in the long-term survival of the EMMA Study (Study of Stroke Mortality and Morbidity). METHODS: Nine hundred fifty-nine individuals (median age 70 years) had validated data on the diagnosis of IS, main CVRF and clinical comorbidities pre index event such as atrial fibrillation (AF), stroke recurrence, diabetes, hypertension, heart failure and cancer. CCI modified by Goldstein was calculated, which includes 17 clinical conditions with scores ranging from 1 to 6 (0-31 points). Survival analyses were performed by Kaplan-Meier curves and Cox logistic regression models (cumulative hazard ratio [HR] with [95% CI]) for all-cause mortality at 180 days, and every 3 years up to 9-year follow-up. Mortality analyzes were performed by CCI categorized according to weight added to comorbidities (Reference group: zero, moderate: 1, severe: 2 and very severe: ≥3 points). We also tested the modification effect of AF and stroke recurrence including these conditions in the CCI. RESULTS: The overall survival rate was 47% (508 deaths/959). The worst survival (577, 95% CI 381-773 days) and the highest risk of death after stroke were observed in the very severe CCI group (HR 3.18; 95% CI 2.16-4.69) up to 9 years. The inclusion of previous AF and stroke in the CCI slightly increased the risk of death for very severe CCI (HR 3.27; 95% CI 2.07-5.18). CONCLUSIONS: A high burden of comorbidities represented an independent predictor of poor prognosis increasing the risk of dying by 2 to 3 times among IS up to 9 years in the EMMA study. The inclusion of other CVRF such as AF and stroke recurrence slightly modified all-cause mortality risk.

Comparative study between ultrasound-guided fine needle aspiration cytology of axillary lymph nodes and sentinel lymph node histopathology in early-stage breast cancer.

The replacement of sentinel lymph node biopsy (SNB) by ultrasound-guided fine-needle aspiration (US-guided FNA) cytology of axillary lymph nodes is controversial, despite the simplicity and reduced cost of the latter. In the present study, US-guided FNA was performed in 27 patients with early-stage breast cancer for comparison with SNB. Data were analyzed by calculation of sample proportions. Tumor subtypes included invasive ductal carcinoma (85%), invasive lobular carcinoma (7%), and tubular and metaplastic carcinoma (4%). FNA had a sensitivity of 45%, specificity of 100%, positive predictive value of 100% and a negative predictive value of 73%. Axillary lymph node cytology obtained by US guided-FNA in patients with breast cancer had a specificity similar to that of sentinel lymph node histopathology in the presence of axillary node metastases. However, when lymph node cytology is negative, it does not exclude the existence of metastatic implants, due to its low sensitivity in comparison to sentinel lymph node histopathology.

Job Strain and Cardiovascular Health Score (from the Brazilian Longitudinal Study of Adult Health [ELSA-Brasil] Baseline).

We aimed to study the association between the American Heart Association cardiovascular health (CVH) score and job strain in the Brazilian Longitudinal Study of Adult Health baseline. We analyzed data from 11,351 active workers (aged 35 to 74 years) without overt cardiovascular disease and who had complete data. Job strain was assessed using the 17-item Brazilian version of the Swedish Job Demand-Control-Support Questionnaire. Clinical (fasting plasma glucose, total cholesterol, and blood pressure) and lifestyle (diet, physical activity, smoking, and body mass index) components of CVH score were assessed according to the American Heart Association criteria. We used quasi-Poisson and multinomial regression models, adjusted for age, gender, race, educational level and income, and positive relative predicted score differences (rPSDs) indicate greater predicted scores. Subjects with low skill discretion scores had lower global (rPSD: -1.8%; p = 0.021) and lifestyle (rPSD: -3.6%; p = 0.018) CVH scores. Participants with low decision authority (rPSD: -2.4%; p = 0.029) and low social support scores (rPSD: -3.3%; p = 0.001) also had lower lifestyle CVH scores. In conclusion, we found significant associations between job strain and CVH scores in this large multicenter sample.

Mortality among blood donors seropositive and seronegative for Chagas disease (1996-2000) in São Paulo, Brazil: A death certificate linkage study.

BACKGROUND: Individuals in the indeterminate phase of Chagas disease are considered to have mortality rates similar to those of the overall population. This study compares mortality rates among blood donors seropositive for Chagas disease and negative controls in the city of São Paulo, Brazil. METHODOLOGY/PRINCIPAL FINDINGS: This is a retrospective cohort study of blood donors from 1996 to 2000: 2842 seropositive and 5684 seronegative for Chagas disease. Death status was ascertained by performing probabilistic record linkage (RL) with the Brazil national mortality information system (SIM). RL was assessed in a previous validation study. Cox Regression was used to derive hazard ratios (HR), adjusting for confounders. RL identified 159 deaths among the 2842 seropositive blood donors (5.6%) and 103 deaths among the 5684 seronegative (1.8%). Out of the 159 deaths among seropositive donors, 26 had the 10th International Statistical Classification of Diseases and Related Health Problems (ICD-10) indicating Chagas disease as the underlying cause of death (B57.0/B57.5), 23 had ICD-10 codes (I42.0/I42.2/I47.0/I47.2/I49.0/I50.0/I50.1/ I50.9/I51.7) indicating cardiac abnormalities possibly related to Chagas disease listed as an underlying or associated cause of death, with the others having no mention of Chagas disease in part I of the death certificate. Donors seropositive for Chagas disease had a 2.3 times higher risk of death due to all causes (95% Confidence Interval (95% CI), 1.8-3.0) than seronegative donors. When considering deaths due to Chagas disease or those that had underlying causes of cardiac abnormalities related to Chagas disease, seropositive donors had a risk of death 17.9 (95% CI, 6.3-50.8) times greater than seronegative donors. CONCLUSIONS/SIGNIFICANCE: There is an excess risk of death in donors seropositive blood for Chagas disease compared to seronegative donors. Chagas disease is an under-reported cause of death in the Brazilian mortality database.