Brazilian Journal of Pulmonology

ISSN (on-line): 1806-3756 | ISSN (printed): 1806-3713


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Evaluation of a prediction model for sleep apnea in patients submitted to polysomnography

Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia

Silvio Musman, Valéria Maria de Azeredo Passos, Izabella Barreto Romualdo Silva, Sandhi Maria Barreto

J Bras Pneumol.2011;37(1):75-84

Abstract PDF PT PDF EN Portuguese Text

Objective: To test a prediction model for sleep apnea based on clinical and sociodemographic variables in a population suspected of having sleep disorders and submitted to polysomnography. Methods: We included 323 consecutive patients submitted to polysomnography because of the clinical suspicion of having sleep disorders. We used a questionnaire with sociodemographic questions and the Epworth sleepiness scale. Blood pressure, weight, height, and SpO2 were measured. Multiple linear regression was used in order to create a prediction model for sleep apnea, the apnea-hypopnea index (AHI) being the dependent variable. Multinomial logistic regression was used in order to identify factors independently associated with the severity of apnea (mild, moderate, or severe) in comparison with the absence of apnea. Results: The prevalence of sleep apnea in the study population was 71.2%. Sleep apnea was more prevalent in men than in women (81.2% vs. 56.8%; p < 0.001). The multiple linear regression model, using log AHI as the dependent variable, was composed of the following independent variables: neck circumference, witnessed apnea, age, BMI, and allergic rhinitis. The best-fit linear regression model explained 39% of the AHI variation. In the multinomial logistic regression, mild apnea was associated with BMI and neck circumference, whereas severe apnea was associated with age, BMI, neck circumference, and witnessed apnea. Conclusions: Although the use of clinical prediction models for sleep apnea does not replace polysomnography as a tool for its diagnosis, they can optimize the process of deciding when polysomnography is indicated and increase the chance of obtaining positive polysomnography findings.


Keywords: Sleep apnea syndromes; Polysomnography; Sleep apnea, obstructive; Body mass index.


Lung cancer in workers exposed to silica

Câncer de pulmão em trabalhadores expostos à sílica

Ana Paula Scalia Carneiro, Max Anderson Morales dos Santos, Plínio Vasconcelos Maia, Sandhi Maria Barreto

J Bras Pneumol.2002;28(4):233-236

Abstract PDF PT

Silica is one of the main occupational agents associated with lung cancer. It is classified by the International Agency for Research on Cancer (IARC) as a Group 1 substance, i.e., carcinogenic for humans, since 1996. The objective of this paper is to report two cases of workers previously exposed to silica who developed lung cancer, seen in an out-patient clinic, focusing on important points of the current literature on the subject.




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