Evaluación del riesgo cardiovascular usando la escala de Framingham en aviadores militares del ejército colombiano

Objetivo La enfermedad coronaria es la causa más frecuente de incapacitación súbita en vuelo, su etiología se debe a factores de riesgo cardiovascular. Los pilotos militares probablemente tienen una prevalencia diferente a las aviaciones civiles. Con el presente estudio se estima la prevalencia y proporción de factores de riesgo en aviadores militares del Ejército Colombiano. Metodología Estudio descriptivo correlacional. Se revisaron controles médicos de aviadores del Ejército Colombiano certificados, completando 1317 historias clínicas. Se obtuvieron datos como edad, presión arterial, tabaquismo, peso, talla, índice de masa muscular, colesterol total, triglicéridos y colesterol HDL. Según los datos recolectados, se calculó el Índice de Framingham y se estimó el índice de riesgo cardiovascular. Se calculó la prevalencia de sobrepeso, obesidad, hipertensión, hiperlipidemia, diabetes, HDL bajo y tabaquismo activo y la proporción de las mismas discriminando por grupos. Los datos fueron analizados mediante SPSS y los resultados expresados según estadística descriptiva. Resultados La prevalencia de factores de riesgo en aviadores militares fue HTA 3.34%, hiperlipidemia 56.9 %, HDL bajo 67.27%, diabetes 0%, tabaquismo 12.8 %, sobrepeso 55.1% obesidad 4.3% Hubo diferencia entre pilotos y tripulantes de las diferentes aeronaves y según sus equipos de vuelo. Conclusiones La prevalencia de factores de riesgo difiere entre el personal militar de vuelo y los aviadores civiles. Se identificó entre leve y latente el riesgo cardiovascular, según la escala Framingham, lo cual obliga a la realización de programas específicos y seguimiento estricto para modificar el perfil de riesgo y mejorar así la salud ocupacional de los aviadores del Ejército Colombiano.

Brachial artery pulsatility index change 1 minute after 5-minute forearm compression - Comparison with flow-mediated dilatation

Objective. Endothelial impairment evaluation by sonographic measurement of flow-mediated dilatation (FMD) has become broadly used. However, this method has 2 main caveats: the dilatation depends on the baseline arterial diameter, and a high precision level is required. Vasodilatation leads to an amplified fall in impedance. We hypothesized that assessment of the pulsatility index change (PI-C) 1 minute after 5-minute forearm compression might evaluate that fall in impedance. The aim of this study was to compare the PI-C with FMD. Methods. Flow-mediated dilatation and the PI-C were assessed in 51 healthy women aged between 35.1 and 67.1 years. We correlated both FMD and the PI-C with age, body mass index, waist circumference, cholesterol level, high-density lipoprotein level, glucose level, systolic and diastolic blood pressure, pulse pressure, brachial artery diameter, simplified Framingham score, intima-media thickness, and carotid stiffness index. Intraclass correlation coefficients between 2 FMD and PI-C measurements were also examined. Results. Only FMD correlated with baseline brachial diameter (r=-0.53). The PI-C had a high correlation with age, body mass index, waist circumference, cholesterol level, systolic blood pressure, pulse pressure, simplified Framingham score, and intima-media thickness. The correlation between FMD and the PI-C was high (r=-0.66). The PI-C had a higher intraclass correlation coefficient (0.991) than FMD (0.836) but not brachial artery diameter (0.989). Conclusions. The PI-C had a large correlation with various markers of cardiovascular risk. Additionally, PI-C measurement does not require offline analysis, extra software, or electrocardiography We think that the PI-C could be considered a marker of endothelial function. However, more studies are required before further conclusions.

Framingham risk score and alternatives for prediction of coronary heart disease in older adults.

BACKGROUND: Guidelines for the prevention of coronary heart disease (CHD) recommend use of Framingham-based risk scores that were developed in white middle-aged populations. It remains unclear whether and how CHD risk prediction might be improved among older adults. We aimed to compare the prognostic performance of the Framingham risk score (FRS), directly and after recalibration, with refit functions derived from the present cohort, as well as to assess the utility of adding other routinely available risk parameters to FRS.¦METHODS: Among 2193 black and white older adults (mean age, 73.5 years) without pre-existing cardiovascular disease from the Health ABC cohort, we examined adjudicated CHD events, defined as incident myocardial infarction, CHD death, and hospitalization for angina or coronary revascularization.¦RESULTS: During 8-year follow-up, 351 participants experienced CHD events. The FRS poorly discriminated between persons who experienced CHD events vs. not (C-index: 0.577 in women; 0.583 in men) and underestimated absolute risk prediction by 51% in women and 8% in men. Recalibration of the FRS improved absolute risk prediction, particulary for women. For both genders, refitting these functions substantially improved absolute risk prediction, with similar discrimination to the FRS. Results did not differ between whites and blacks. The addition of lifestyle variables, waist circumference and creatinine did not improve risk prediction beyond risk factors of the FRS.¦CONCLUSIONS: The FRS underestimates CHD risk in older adults, particularly in women, although traditional risk factors remain the best predictors of CHD. Re-estimated risk functions using these factors improve accurate estimation of absolute risk.

Développement et validation d’un index de prédiction des risques d’institutionnalisation et de décès pour le contrôle des variables confondantes non-mesurées dans la population âgée

Le biais de confusion est un défi majeur des études observationnelles, surtout s'ils sont induits par des caractéristiques difficiles, voire impossibles, à mesurer dans les banques de données administratives de soins de santé. Un des biais de confusion souvent présents dans les études pharmacoépidémiologiques est la prescription sélective (en anglais « prescription channeling »), qui se manifeste lorsque le choix du traitement dépend de l'état de santé du patient et/ou de son expérience antérieure avec diverses options thérapeutiques. Parmi les méthodes de contrôle de ce biais, on retrouve le score de comorbidité, qui caractérise l'état de santé d'un patient à partir de médicaments délivrés ou de diagnostics médicaux rapportés dans les données de facturations des médecins. La performance des scores de comorbidité fait cependant l'objet de controverses car elle semble varier de façon importante selon la population d'intérêt. Les objectifs de cette thèse étaient de développer, valider, et comparer les performances de deux scores de comorbidité (un qui prédit le décès et l’autre qui prédit l’institutionnalisation), développés à partir des banques de services pharmaceutiques de la Régie de l'assurance-maladie du Québec (RAMQ) pour leur utilisation dans la population âgée. Cette thèse vise également à déterminer si l'inclusion de caractéristiques non rapportées ou peu valides dans les banques de données administratives (caractéristiques socio-démographiques, troubles mentaux ou du sommeil), améliore la performance des scores de comorbidité dans la population âgée. Une étude cas-témoins intra-cohorte fut réalisée. La cohorte source consistait en un échantillon aléatoire de 87 389 personnes âgées vivant à domicile, répartie en une cohorte de développement (n=61 172; 70%) et une cohorte de validation (n=26 217; 30%). Les données ont été obtenues à partir des banques de données de la RAMQ. Pour être inclus dans l’étude, les sujets devaient être âgés de 66 ans et plus, et être membres du régime public d'assurance-médicaments du Québec entre le 1er janvier 2000 et le 31 décembre 2009. Les scores ont été développés à partir de la méthode du Framingham Heart Study, et leur performance évaluée par la c-statistique et l’aire sous les courbes « Receiver Operating Curves ». Pour le dernier objectif qui est de documenter l’impact de l’ajout de variables non-mesurées ou peu valides dans les banques de données au score de comorbidité développé, une étude de cohorte prospective (2005-2008) a été réalisée. La population à l'étude, de même que les données, sont issues de l'Étude sur la Santé des Aînés (n=1 494). Les variables d'intérêt incluaient statut marital, soutien social, présence de troubles de santé mentale ainsi que troubles du sommeil. Tel que décrit dans l'article 1, le Geriatric Comorbidity Score (GCS) basé sur le décès, a été développé et a présenté une bonne performance (c-statistique=0.75; IC95% 0.73-0.78). Cette performance s'est avérée supérieure à celle du Chronic Disease Score (CDS) lorsqu'appliqué dans la population à l'étude (c-statistique du CDS : 0.47; IC 95%: 0.45-0.49). Une revue de littérature exhaustive a montré que les facteurs associés au décès étaient très différents de ceux associés à l’institutionnalisation, justifiant ainsi le développement d'un score spécifique pour prédire le risque d'institutionnalisation. La performance de ce dernier s'est avérée non statistiquement différente de celle du score de décès (c-statistique institutionnalisation : 0.79 IC95% 0.77-0.81). L'inclusion de variables non rapportées dans les banques de données administratives n'a amélioré que de 11% la performance du score de décès; le statut marital et le soutien social ayant le plus contribué à l'amélioration observée. En conclusion, de cette thèse, sont issues trois contributions majeures. D'une part, il a été démontré que la performance des scores de comorbidité basés sur le décès dépend de la population cible, d'où l'intérêt du Geriatric Comorbidity Score, qui fut développé pour la population âgée vivant à domicile. D'autre part, les médicaments associés au risque d'institutionnalisation diffèrent de ceux associés au risque de décès dans la population âgé, justifiant ainsi le développement de deux scores distincts. Cependant, les performances des deux scores sont semblables. Enfin, les résultats indiquent que, dans la population âgée, l'absence de certaines caractéristiques ne compromet pas de façon importante la performance des scores de comorbidité déterminés à partir de banques de données d'ordonnances. Par conséquent, les scores de comorbidité demeurent un outil de recherche important pour les études observationnelles.

Framingham risk score and alternatives for prediction of coronary heart disease in older adults

Background Guidelines for the prevention of coronary heart disease (CHD) recommend use of Framingham-based risk scores that were developed in white middle-aged populations. It remains unclear whether and how CHD risk prediction might be improved among older adults. We aimed to compare the prognostic performance of the Framingham risk score (FRS), directly and after recalibration, with refit functions derived from the present cohort, as well as to assess the utility of adding other routinely available risk parameters to FRS. Methods Among 2193 black and white older adults (mean age, 73.5 years) without pre-existing cardiovascular disease from the Health ABC cohort, we examined adjudicated CHD events, defined as incident myocardial infarction, CHD death, and hospitalization for angina or coronary revascularization. Results During 8-year follow-up, 351 participants experienced CHD events. The FRS poorly discriminated between persons who experienced CHD events vs. not (C-index: 0.577 in women; 0.583 in men) and underestimated absolute risk prediction by 51% in women and 8% in men. Recalibration of the FRS improved absolute risk prediction, particulary for women. For both genders, refitting these functions substantially improved absolute risk prediction, with similar discrimination to the FRS. Results did not differ between whites and blacks. The addition of lifestyle variables, waist circumference and creatinine did not improve risk prediction beyond risk factors of the FRS. Conclusions The FRS underestimates CHD risk in older adults, particularly in women, although traditional risk factors remain the best predictors of CHD. Re-estimated risk functions using these factors improve accurate estimation of absolute risk.

Renal resistance index in renal allograft recipients: a role for ADMA

BACKGROUND: Renal resistance index, a predictor of kidney allograft function and patient survival, seems to depend on renal and peripheral vascular compliance and resistance. Asymmetric dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase and therefore influences vascular resistance. STUDY DESIGN: We investigated the relationship between renal resistance index, ADMA, and risk factors for cardiovascular diseases and kidney function in a cross-sectional study. SETTING ; PARTICIPANTS: 200 stable renal allograft recipients (133 men and 67 women with a mean age of 52.8 years). PREDICTORS: Serum ADMA concentration, pulse pressure, estimated glomerular filtration rate and recipient age. OUTCOME: Renal resistance index. MEASUREMENTS: Renal resistance index measured by color-coded duplex ultrasound, serum ADMA concentration measured by liquid chromatography-tandem mass spectrometry, estimated glomerular filtration rate (Nankivell equation), arterial stiffness measured by digital volume pulse, Framingham and other cardiovascular risk factors, and evaluation of concomitant antihypertensive and immunosuppressive medication. RESULTS: Mean serum ADMA concentration was 0.72 +/- 0.21 (+/-SD) micromol/L and mean renal resistance index was 0.71 +/- 0.07. Multiple stepwise regression analysis showed that recipient age (P < 0.001), pulse pressure (P < 0.001), diabetes (P < 0.01) and ADMA concentration (P < 0.01) were independently associated with resistance index. ADMA concentrations were correlated with estimated glomerular filtration rate (P < 0.01). LIMITATIONS: The cross-sectional nature of this study precludes cause-effect conclusions. CONCLUSIONS: In addition to established cardiovascular risk factors, ADMA appears to be a relevant determinant of renal resistance index and allograft function and deserves consideration in prospective outcome trials in renal transplantation.

Framingham, Massachusetts, 1832 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Framingham : from actual surveys taken by Jonas Clayes & Warren Nixon in the years 1830 and 1831, drawn by Warren Nixon. It was published by Pendleton's Lithography in 1832. Scale [19,800]. Covers also a portion of Ashland, Massachusetts. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries and more. Relief shown by shading.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Hypertension, dyslipidemia, body mass index, Diabetes and smoking status in aboriginal australians in a remote community

Objectives: Study objectives were: 1) to describe the differences in the prevalence of CHID risk factors between Aboriginal people in a remote community and the general Australian population; and 2) to compare the predicted risks of CHD events between Aboriginal and non-Aboriginal Australians. Design: A cross-sectional study. Participants: 681 Aboriginal adults aged 25 to 74 years. Results: Aboriginal young adults had substantially higher prevalence of diabetes compared to non-Aboriginal Australians. The prevalence ratios for diabetes were 12.5, 5.6, 3.2, 1.3, and 0.73 for 25-, 35-, 45-, 55-, and 65- to 74-year-old females, respectively, The corresponding values for males were 12.1, 2.7, 2.9, 0.69, and 0.42. Young females had a higher prevalence of obesity, overweight, and abnormal waist circumference, while males and females 45 years and older tended to have a lower prevalence of overweight and ab. normal waist circumference. Compared to the general population, Aboriginal adults had a lower prevalence of abnormal total cholesterol but a higher prevalence of abnormal HDL, triglycerides, hypertension, and smoking. The risk ratios of abnormal total cholesterol for females ages 2534, 35-44, 45-54, 55-64, and 65-75 years were 0.38, 0.53, 0.48, 0.48, and 0.41, respectively. Conclusions: Aboriginal people in the remote community experienced different levels of CHD risk predictors from the general Australian population. They had a lower prevalence of abnormal total cholesterol and a higher prevalence of abnormal HDL, smoking, diabetes, and hypertension.

Association Between Parity, Pre-pregnancy Body Mass Index And Gestational Weight Gain.

To analyze the relationship between parity, pre-pregnancy body mass index (BMI), and gestational weight gain (GWG). This observational controlled study was conducted from November 2013 to April 2014, with postpartum women who started antenatal care up to 14 weeks and had full-term births. Data were collected from medical records and antenatal cards. Descriptive and bivariate analyses were performed. The significance level was 5%. Data were collected from 130 primiparous and 160 multiparous women. At the beginning of prenatal care, 54.62% of the primiparous were eutrophic, while the majority of multiparous were overweight or obese (62.51%). Multiparas are two times more likely to be obese at the beginning of their pregnancies, when compared to primiparas. The average pre-pregnancy weight and final pregnancy weight was significantly higher in multiparous, however, the mean GWG was higher among primiparous. We found an inverse correlation between parity and the total GWG, but initial BMI was significantly higher in multiparas. Nevertheless, monitoring of the GWG through actions that promote a healthier lifestyle is needed, regardless of parity and nutritional status, in order to prevent excessive GWG and postpartum weight retention and consequently inadequate pre-pregnancy nutritional status in future pregnancies.

Sorghum Flour Fractions: Correlations Among Polysaccharides, Phenolic Compounds, Antioxidant Activity And Glycemic Index.

Nutrients composition, phenolic compounds, antioxidant activity and estimated glycemic index (EGI) were evaluated in sorghum bran (SB) and decorticated sorghum flour (DSF), obtained by a rice-polisher, as well as whole sorghum flour (WSF). Correlation between EGI and the studied parameters were determined. SB presented the highest protein, lipid, ash, β-glucan, total and insoluble dietary fiber contents; and the lowest non-resistant and total starch contents. The highest carbohydrate and resistant starch contents were in DSF and WSF, respectively. Phenolic compounds and antioxidant activities were concentrated in SB. The EGI values were: DSF 84.5±0.41; WSF 77.2±0.33; and SB 60.3±0.78. Phenolic compounds, specific flavonoids and antioxidant activities, as well as total, insoluble and soluble dietary fiber and β-glucans of sorghum flour samples were all negatively correlated to EGI. RS content was not correlated to EGI.

Validação da Body Appreciation Scale (BAS), Life Satisfaction Index for the Third Age (LSITA) e do Aging Perception Questionnaire (APQ) para a língua portuguesa no Brasil : um estudo em idosos brasileiros

Universidade Estadual de Campinas . Faculdade de Educação Física

Association of polymorphisms at the ADIPOR1 regulatory region with type 2 diabetes and body mass index in a Brazilian population with European or African ancestry

Association studies between ADIPOR1 genetic variants and predisposition to type 2 diabetes (DM2) have provided contradictory results. We determined if two single nucleotide polymorphisms (SNP c.-8503G>A and SNP c.10225C>G) in regulatory regions of ADIPOR1 in 567 Brazilian individuals of European (EA; N = 443) or African (AfA; N = 124) ancestry from rural (quilombo remnants; N = 439) and urban (N = 567) areas. We detected a significant effect of ethnicity on the distribution of the allelic frequencies of both SNPs in these populations (EA: -8503A = 0.27; AfA: -8503A = 0.16; P = 0.001 and EA: 10225G = 0.35; AfA: 10225G = 0.51; P < 0.001). Neither of the polymorphisms were associated with DM2 in the case-control study in EA (SNP c.-8503G>A: DM2 group -8503A = 0.26; control group -8503A = 0.30; P = 0.14/SNP 10225C>G: DM2 group 10225G = 0.37; control group 10225G = 0.32; P = 0.40) and AfA populations (SNP c.-8503G>A: DM2 group -8503A = 0.16; control group -8503A = 0.15; P = 0.34/SNP 10225C>G: DM2 group 10225G = 0.51; control group 10225G = 0.52; P = 0.50). Similarly, none of the polymorphisms were associated with metabolic/anthropometric risk factors for DM2 in any of the three populations, except for HDL cholesterol, which was significantly higher in AfA heterozygotes (GC = 53.75 ± 17.26 mg/dL) than in homozygotes. We conclude that ADIPOR1 polymorphisms are unlikely to be major risk factors for DM2 or for metabolic/anthropometric measurements that represent risk factors for DM2 in populations of European and African ancestries.

Diet quality index adjusted for energy requirements in adults

This study aimed to develop a diet quality index (DQI-a) adjusted for energy requirement. Dietary intake of adults was assessed using 24-hour food recall. The DQI was developed for scores evenly distributed across ten items characterizing different aspects of diet: food groups, nutrients, and variety. The components categorized under the food groups from the Dietary Guide for Brazilians were adjusted according to the estimated energy requirements of the population studied. Index consistency and correlation with nutrients of the diet was analyzed by Cronbach's alpha. A total of 737 individuals were assessed and energy requirements ranged from 1,800 to 2,500kcal among women and 2,500 to 3,400kcal in men. The food group with greatest variation in total portions was cereals and tubers. Cronbach's alpha of the DQI-a was 0.643 and the index correlated with most of the nutrients. The DQI-a can be considered a valuable instrument for assessing diet quality of the Brazilian population.

Avaliação nutricional e risco cardiovascular em executivos submetidos a check-up

OBJETIVO: Avaliar estado nutricional e risco cardiovascular de executivos. MÉTODOS: Estudo transversal. Foram avaliados 329 executivos de ambos os gêneros, com idade entre 31 e 70 anos, submetidos a check-up de saúde em hospital privado do município de São Paulo. Foram mensuradas as variáveis referentes a peso, estatura e circunferência da cintura (CC) e determinado o Índice de Massa Corporal (IMC). Foram analisados pressão arterial, níveis séricos de colesterol total e frações, triacilglicerol, glicose e ácido úrico. Prática habitual de atividade física foi avaliada por meio do Questionário Internacional de Atividade Física (IPAQ) e o risco cardiovascular pelo Escore de Framingham. A análise de variância e o método de Bonferroni foram utilizados para o tratamento estatístico. RESULTADOS: Média de idade foi 44,6 anos (DP=6,8), predominando o gênero masculino (89,7%). Quanto ao estilo de vida, 17% eram tabagistas e 7,3% sedentários. Os resultados médios encontrados para os exames clínicos e bioquímicos foram: pressão arterial 117,8 x 78,6 mmHg (DP=12 x 8,3), colesterol total 200,5 mg/dL (DP=35,9), LDL-c 121,8 mg/dL (DP=29,9), HDL-c 52,2 mg/dL (DP=10,9), triacilglicerol 133,7 mg/dL (DP=76,8), glicose 96,3 mg/dL (DP=20,5) e ácido úrico 6,0 e 4,2 mg/dL (DP=1,0 e 0,9) para homens e mulheres, respectivamente. O IMC médio foi de excesso de peso (26,1kg/m²; DP=6,8). A CC média estava normal entre as mulheres (79,6cm; DP=7,3) e indicou risco elevado para doenças crônicas entre os homens (96,1cm; DP=8,9). O Risco de Framingham médio foi de 5,7%. CONCLUSÃO: Os executivos estavam com excesso de peso e apresentaram baixo risco cardiovascular.

Body Mass Index, Cigarette Smoking, and Alcohol Consumption and Cancers of the Oral Cavity, Pharynx, and Larynx: Modeling Odds Ratios in Pooled Case-Control Data

study-specific results, their findings should be interpreted with caution