Context: Body mass index (BMI) is widely used as a measure of overweight and obesity, but underestimates the prevalence of both conditions, defined as an excess of body fat. Objective: We assessed the degree of misclassification on the diagnosis of obesity using BMI as compared with direct body fat percentage (BF%) determination and compared the cardiovascular and metabolic risk of non-obese and obese BMI-classified subjects with similar BF%. Design: We performed a cross-sectional study. Subjects: A total of 6123 (924 lean, 1637 overweight and 3562 obese classified according to BMI) Caucasian subjects (69% females), aged 18-80 years. Methods: BMI, BF% determined by air displacement plethysmography and well-established blood markers of insulin sensitivity, lipid profile and cardiovascular risk were measured. Results: We found that 29% of subjects classified as lean and 80% of individuals classified as overweight according to BMI had a BF% within the obesity range. Importantly, the levels of cardiometabolic risk factors, such as C-reactive protein, were higher in lean and overweight BMI-classified subjects with BF% within the obesity range (men 4.3 ± 9.2, women 4.9 ± 19.5 mg l À1 ) as well as in obese BMI-classified individuals (men 4.2 ± 5.5, women 5.1 ± 13.2 mg l À1 ) compared with lean volunteers with normal body fat amounts (men 0.9 ± 0.5, women 2.1 ± 2.6 mg l À1 ; Po0.001 for both genders). Conclusion: Given the elevated concentrations of cardiometabolic risk factors reported herein in non-obese individuals according to BMI but obese based on body fat, the inclusion of body composition measurements together with morbidity evaluation in the routine medical practice both for the diagnosis and the decision-making for instauration of the most appropriate treatment of obesity is desirable.
that has been made in this area, even in a short period of time. Tobacco dependence is increasingly acknowledged as a chronic condition that can require multiple interventions. In addition, recent evidence supports the critical role of counseling, in individual and group interventions, as well as in conjunction with pharmacological treatment.The evidence-based selection method was applied in order to identify appropriate references in the specialized litera- IntroductionThis update represents the strong commitment of the Brazilian Thoracic Association to smoking cessation. It provides health professionals with a comprehensive instrument to deal with the principal aspects of tobacco dependence. It includes new and effective clinical treatments and highlights changes in procedures in certain situations.The comparison between this content and that of the previous guidelines shows the significant scientific progress The use of the strength of recommendation associated with the bibliographic citations in the text has as the following principal objectives: to clarify the information source; to stimulate the search for stronger scientific evidence; and to introduce a didactic and simple way to aid in the critical evaluation on the part of the reader, who is the one responsible for making the decisions concerning the patient being treated. Diagnostic approach Clinical evaluationThe smoker should be submitted to clinical evaluation upon admission to the smoking cessation program. The objective is to identify functional alterations in the lungs, the existence of smoking related diseases (SRDs), possible contraindications and drug interactions during the pharmacological treatment of the dependence. The profile of the smoker, the level of nicotine dependence and the motivation to stop smoking are also evaluated at this time.This evaluation (Chart 1) should include accurate clinical history, complete physical examination, and some complementary tests, depending on local diagnostic resources.Chest X-ray is an essential tool during the treatment. A good physician-patient relationship, together with professional sensitivity and observation skills, will indicate the most appropriate time. Some people are afraid of what they might find, avoiding treatment so that they do not have to face the situation. ture. This was followed by critical review by pairs, who ultimately presented their recommendations.The decision to adopt any of these guidelines should be made by the professional, taking into consideration the resources available in the locale and the specific circumstances of the patient. Although this document describes the principal recommendations in each situation, there is limited space for publishing. Therefore, additional references are provided to those interested in broadening their scientific knowledge on this subject.These guidelines are an up-to-date and comprehensive tool to aid health professionals in treating smokers, in public or private health care clinics. This is the role of the government and the public poli...
Obesity is the major risk factor for the development of prediabetes and type 2 diabetes. BMI is widely used as a surrogate measure of obesity, but underestimates the prevalence of obesity, defined as an excess of body fat. We assessed the presence of impaired glucose tolerance or impaired fasting glucose (both considered together as prediabetes) or type 2 diabetes in relation to the criteria used for the diagnosis of obesity using BMI as compared to body fat percentage (BF%). We performed a cross‐sectional study including 4,828 (587 lean, 1,320 overweight, and 2,921 obese classified according to BMI) white subjects (66% females), aged 18–80 years. BMI, BF% determined by air‐displacement plethysmography (ADP) and conventional blood markers of glucose metabolism and lipid profile were measured. We found a higher than expected number of subjects with prediabetes or type 2 diabetes in the obese category according to BF% when the sample was globally analyzed (P < 0.0001) and in the lean BMI‐classified subjects (P < 0.0001), but not in the overweight or obese‐classified individuals. Importantly, BF% was significantly higher in lean (by BMI) women with prediabetes or type 2 diabetes as compared to those with normoglycemia (NG) (35.5 ± 7.0 vs. 30.3 ± 7.7%, P < 0.0001), whereas no differences were observed for BMI. Similarly, increased BF% was found in lean BMI‐classified men with prediabetes or type 2 diabetes (25.2 ± 9.0 vs. 19.9 ± 8.0%, P = 0.008), exhibiting no differences in BMI or waist circumference. In conclusion, assessing BF% may help to diagnose disturbed glucose tolerance beyond information provided by BMI and waist circumference in particular in male subjects with BMI <25 kg/m2 and over the age of 40.
A multifaceted approach to severe sepsis and septic shock patients in an emerging country setting led to high compliance with the resuscitation bundle. The intervention was cost-effective and associated with a reduction in mortality.
ObjectiveThe current definition of severe sepsis and septic shock includes a heterogeneous profile of patients. Although the prognostic value of hyperlactatemia is well established, hyperlactatemia is observed in patients with and without shock. The present study aimed to compare the prognosis of septic patients by stratifying them according to two factors: hyperlactatemia and persistent hypotension. MethodsThe present study is a secondary analysis of an observational study conducted in ten hospitals in Brazil (Rede Amil - SP). Septic patients with initial lactate measurements in the first 6 hours of diagnosis were included and divided into 4 groups according to hyperlactatemia (lactate >4mmol/L) and persistent hypotension: (1) severe sepsis (without both criteria); (2) cryptic shock (hyperlactatemia without persistent hypotension); (3) vasoplegic shock (persistent hypotension without hyperlactatemia); and (4) dysoxic shock (both criteria). ResultsIn total, 1,948 patients were analyzed, and the sepsis group represented 52% of the patients, followed by 28% with vasoplegic shock, 12% with dysoxic shock and 8% with cryptic shock. Survival at 28 days differed among the groups (p<0.001). Survival was highest among the severe sepsis group (69%, p<0.001 versus others), similar in the cryptic and vasoplegic shock groups (53%, p=0.39), and lowest in the dysoxic shock group (38%, p<0.001 versus others). In the adjusted analysis, the survival at 28 days remained different among the groups (p<0.001) and the dysoxic shock group exhibited the highest hazard ratio (HR=2.99, 95%CI 2.21-4.05). ConclusionThe definition of sepsis includes four different profiles if we consider the presence of hyperlactatemia. Further studies are needed to better characterize septic patients, to understand the etiology and to design adequate targeted treatments.
Background/Aims: Obesity has been associated with hypothyroidism and impaired insulin sensitivity. However, few studies have specifically addressed the association between insulin sensitivity and thyroid function. Our aim was to look for a relation between these 2 factors in a sample of obese males. Methods: One hundred and forty-four euthyroid male obese patients – mean age 42.6 years, mean body mass index (BMI) 41.8 – were enrolled in this cross-sectional study. The hospital study protocol at entrance included baseline serum thyroid-stimulating hormone (TSH), insulin and glucose concentrations. Data were studied using an age-adjusted simple and multivariate linear regression analysis with TSH as the dependent and insulin and BMI as the independent variables. Results: Mean TSH and insulin were 1.6 and 21.2 mU/l, respectively. It was found that their relationship follows a regression model: TSH = 1.725–0.019 (age) + 0.003 (insulin) + 0.017 (BMI). Further data showed a positive correlation between BMI and TSH (r = 0.22; p < 0.05), as well as between serum baseline insulin (>10 mU/l) and TSH concentration (r = 0.27; p < 0.05). This association was stronger in patients with higher insulin values (>21.2 mU/l; r = 0.40; p < 0.01). However, negative correlations between age and insulin (r = –0.14; not significant) and age and TSH (r = –0.35; p < 0.05) were observed. Conclusions: In obese males, insulin resistance is significantly related with impairment of thyroid function, and this situation seems to be attenuated with age.
Objective: To define the profile of smokers who seek professional assistance through a smoking cessation program and to compare smoker profiles among males, females and elderly people. Methods: Two-hundred and three smokers were prospectively evaluated. The participants completed questionnaires related to smoking history, history of psychiatric disorders, depression, anxiety and nicotine dependence as well as a general self-report questionnaire. Results: In this sample, 58.6% of the individuals were female (119). The mean age was 45.3 ± 12.0 years, with no statistically significant difference between genders (p = 0.391). The majority of the individuals in the sample (84.2%) presented socioeconomic class C or above. Sixty-three percent had at least a high school education. Depression was more often referred to by women, and the difference between genders was borderline significant (p = 0.069). However, when depression was evaluated using the Beck Depression Inventory, there was no statistically significant difference between genders and between elderly and nonelderly people. Conclusions: In the profile of the smokers who sought assistance, we identified aspects (such as being female and having been diagnosed with depression) that are known predictors of treatment failure. This shows the importance of carrying out a complete pre-evaluation of the profile of a smoker who seeks a smoking cessation program. Thus, procedures can be adopted prior to and during the treatment of the smoker, with the objective of increasing treatment success rates.Keywords: Anxiety; Depression; Smoking. ResumoObjetivo: Definir o perfil do fumante que procura um serviço de cessação do tabagismo e comparar os perfis observados em homens, mulheres e idosos. Métodos: Foram avaliados, prospectivamente, 203 fumantes. Os indivíduos responderam questionários relacionados ao histórico tabagístico, antecedentes psiquiátricos, questionários específicos para depressão e ansiedade, questionário de dependência à nicotina e um questionário geral auto-aplicável. Resultados: Nesta amostra, 58,6% dos indivíduos eram do sexo feminino (119). A média de idade para a amostra foi 45,3 ± 12,0 anos, sem diferença significante entre os sexos (p = 0,391). A maioria da amostra estudada apresentou classificação econômica C ou superior (84,2%). Sessenta e três porcento dos fumantes possuíam pelo menos o segundo grau completo. Depressão foi muito mais referida entre as mulheres com diferença estatística marginalmente significante (p = 0,069). Porém, avaliando-se depressão pelo Inventário Beck de Depressão, não houve diferença estatisticamente significante entre os sexos e entre idosos e não-idosos. Conclusões: Foram identificados aspectos no perfil dos fumantes que procuraram este serviço que já são reconhecidos na literatura especializada como preditores de insucesso no tratamento (como pertencer ao sexo feminino e diagnóstico de depressão). Isto demonstra a importância de se realizar uma completa avaliação prévia do perfil do fumante que procura um centro esp...
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