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Biomedical subjects

Jan Vandevoorde

Publications and source records attributed to Jan Vandevoorde.

7 recordsLinked to original sources

Early detection of COPD: a case finding study in general practice.

OBJECTIVES: To estimate the prevalence of undiagnosed chronic obstructive pulmonary disease (COPD) in a population of general practice patients at risk for developing COPD. A further aim was to evaluate the presence of respiratory symptoms as a predictor for the diagnosis of COPD. METHODS: This study was conducted by eight general practitioners (GP) in six semi-rural general practices. During two consecutive months all patients attending their GP were included if they met the following criteria: current smokers between 40 and 70 yr of age, and a smoking history of at least 15 pack-years. A questionnaire regarding smoking history, respiratory symptoms, exposure to dust or chemical fumes, and history of respiratory diseases was completed for all patients. Subjects without known COPD were invited for spirometric testing. RESULTS: Off the 146 general practice patients included, 17.1% already had an established COPD diagnosis. Screening by spirometry revealed a 46.6% prevalence of COPD. Underdiagnosis of COPD was more frequent in the younger age categories (40-49 Yr; 50-59 Yr). Objective wheezing was the only sign that was significantly more frequent in COPD patients than in non-COPD patients (P<0.001). Patients with previously known COPD were significantly older, and complained more of chronic cough and fatigue than newly detected patients. CONCLUSION: Almost half of a general practice population of current smokers between 40 and 70 years of age, with a smoking history of at least 15 pack-years, was diagnosed with COPD, and roughly two thirds of these were newly detected as a result of the case finding programme.

Adult↗

Technical and functional assessment of 10 office spirometers: A multicenter comparative study.

STUDY OBJECTIVES: To investigate the technical properties and user friendliness of 10 office spirometers devoted for use in general practice, and to compare the results with standard diagnostic spirometers. DESIGN: Multicenter study. SETTING: Ten spirometer models were tested independently in three pulmonary function laboratories and by three general practitioners (GPs). MEASUREMENTS: The laboratories studied the technical quality of the office spirometers in terms of precision and agreement with standard spirometers, whereas the three GPs assessed their user friendliness. The spirometers tested were as follows: Spirobank (Medical International Research; Rome, Italy); Simplicity (Puritan Bennett; Pleasanton, CA); OneFlow (Clement Clarke International; Harlow, Essex, UK); Datospir 70 (Sibelmed; Barcelona, Spain); Datospir 120 (Sibelmed); SpiroPro (SensorMedics; Yorba Linda, CA); EasyOne (NDD; Zurich, Switzerland); MicroLoop (Micro Medical; Chatham, Kent, UK); SpiroStar (Medikro; Kuopio, Finland); and Pneumotrac (Vitalograph; Maids Moreton, Buckingham, UK). FVC and FEV1 were measured in 399 subjects. User friendliness was assessed by the three GPs using a questionnaire. RESULTS: The precision of FEV1 of the office and standard spirometers was comparable, but three office spirometers had > 200 mL limits of precision for FVC. Some devices presented a proportional difference on the FEV1 with standard spirometers, underestimating the small values. The limits of agreements between standard and some office spirometers for FEV1/FVC ratio was > 10%. The overall user friendliness was estimated as good. CONCLUSIONS: The global quality and user friendliness of several office spirometers make them acceptable for the detection of COPD, although differences between the laboratory and some of the office spirometers values suggest that the misclassification rates may be increased when using some models of office spirometers.

Adult↗

FEV1/FEV6 and FEV6 as an alternative for FEV1/FVC and FVC in the spirometric detection of airway obstruction and restriction.

STUDY OBJECTIVES: To evaluate the use of the FEV(1)/forced expiratory volume at 6 s of exhalation (FEV(6)) ratio and FEV(6) as an alternative for FEV(1)/FVC and FVC in the detection of airway obstruction and lung restriction, respectively. SETTING: Pulmonary function laboratory of the Academic Hospital of the Free University of Brussels. PARTICIPANTS: A total of 11,676 spirometric examinations were analyzed on subjects with the following characteristics: white race; 20 to 80 years of age; 7,010 men and 4,666 women; and able to exhale for at least 6 s. METHODS: Published reference equations were used to determine lower limits of normal (LLN) for FEV(6), FVC, FEV(1)/FEV(6), and FEV(1)/FVC. We considered a subject to have obstruction if FEV(1)/FVC was below its LLN. A restrictive spirometric pattern was defined as FVC below its LLN, in the absence of obstruction. From these data, sensitivity and specificity of FEV(1)/FEV(6) and FEV(6) were calculated. RESULTS: For the spirometric diagnosis of airway obstruction, FEV(1)/FEV(6) sensitivity was 94.0% and specificity was 93.1%; the positive predictive value (PPV) and negative predictive value (NPV) were 89.8% and 96.0%, respectively. The prevalence of obstruction in the entire study population was 39.5%. For the spirometric detection of a restrictive pattern, FEV(6) sensitivity was 83.2% and specificity was 99.6%; the PPVs and NPVs were 97.4% and 96.9%, respectively. The prevalence of a restrictive pattern was 15.7%. Similar results were obtained for male and female subjects. When diagnostic interpretation differed between the two indexes, measured values were close to the LLN. CONCLUSIONS: The FEV(1)/FEV(6) ratio can be used as a valid alternative for FEV(1)/FVC in the diagnosis of airway obstruction, especially for screening purposes in high-risk populations for COPD in primary care. In addition, FEV(6) is an acceptable surrogate for FVC in the detection of a spirometric restrictive pattern. Using FEV(6) instead of FVC has the advantage that the end of a spirometric examination is more explicitly defined and is easier to achieve.

Adult↗

A review of the treatment guidelines on the management of low levels of high-density lipoprotein cholesterol.

This paper aims to review the guidelines on the importance given to high-density lipoprotein cholesterol (HDL-C) as a risk factor or as threshold and target level in the treatment of dyslipidemia. We developed a strategy with cholesterol-related key words to search for guidelines in the major databases. The Appraisal of Guidelines Research Evaluation (AGREE) instrument was used for the evaluation and inclusion of the guidelines. In total nine guidelines were selected. Almost all selected guidelines consider low HDL-C as a marker of an increased risk for coronary heart disease. However, only few guidelines use the level of HDL-C as a threshold or target level for the treatment of dyslipidemia. The guidelines provide only little information on the management of patients with treatment-induced low HDL-C. Instead of using total cholesterol (TC) or low-density lipoprotein cholesterol (LDL-C) we consider the use of the ratios of TC to HDL-C or LDL-C to HDL-C as a threshold as well as a target for treatment.

Cholesterol, HDL↗

Correlations between lipid levels and age, gender, glycemia, obesity, diabetes, and smoking.

A low level of high-density lipoprotein cholesterol (HDL-C) is an important cardiovascular risk factor. Dietary measures and pharmacological agents are often not sufficient to reach the HDL-C target level of 40 mg/dl in patients with low baseline HDL-C. This study assesses the association between lipid levels and age, gender, body mass index (BMI), glycemia, diabetes and smoking and focuses on the parameters influencing HDL-C. In the town of Lede (Belgium) all patients aged between 45 and 64 years were invited during 1999 for a free of charge health check-up and blood test. Blood pressure, weight, length and smoking habits were recorded. Serum levels for glycemia and lipoproteins were determined. In total, 629 subjects attended for the check-up. In a logistic regression analysis age above 50 years was correlated with low HDL-C (OR = 2.27 CI = 1.10-4.68). Male gender was correlated with low HDL-C (OR = 3.85 CI = 1.77-8.43) and with high triglycerides (TG) (OR = 1.94 CI = 1.14-3.30). From the level of 90 mg/dl glycemia was correlated with low HDL-C (OR = 2.56 CI = 1.02-6.39) and high TG (OR = 2.12 CI = 1.16-4.06). Obesity was correlated with low HDL-C (OR = 2.36 CI = 1.18-4.71) and high TG (OR = 2.17 CI = 1.88-5.23). This study provides some evidence to sharpen the target levels for glycemia and BMI among patients with low HDL-C and high TG. For these patients, the target glycemia should be around 90 mg/dl and BMI around 25 kg/m2. Physical activity and diet are also important in the achievement of these target levels.

Aged↗