Are serum eosinophilic cationic protein levels of toll collectors affected by diesel exhaust exposure?

OBJECTIVE: There are few studies on the diesel exhaust particulates (DEP) / eosinophilic cationic protein (ECP) level relationship. This study aimed to detect ECP levels in a highly DE exposed group, named as toll collectors. METHODS: In a cross-sectional study, levels of serum ECP, rates of respiratory symptoms, mean levels of respiratory functions, smoking status, and variations in peak expiratory flow (PEF) during weekends and working days were compared for 68 toll collectors (TC) (range of age, 24-48 years) and 28 controls (range of age, 25-61 years). All subjects in the study group were men. RESULTS: No significant difference was observed in terms of symptoms and smoking rates between the toll collectors and control group. The number of toll collectors [12/68 (17.7%) vs 1/28 (3.5%)] with diurnal PEF variability in the working period was higher than that of controls (p=0.058). Mean ECP level of toll collectors was higher than that of controls (32.8 vs 21.4 ng/L), but the difference was not significant. Mean ECP levels were higher in subjects experiencing diurnal PEF variability during work and off-work periods (34.9 vs 28.3 ng/L, p=0.410). CONCLUSIONS: Serial PEF measurements combined with serum ECP measurements did not add a new tool to detect the sensitivity of workers dealing with DE. Much more diesel exhaust exposed workers should be included to search for cheap and available methods when evaluating airway.

Use of a portable monitoring device (Somnocheck Micro) for the investigation and diagnosis of obstructive sleep apnoea in comparison with polysomnography.

OBJECTIVE: Polysomnography (PSG) remains the gold standard for the diagnosis of obstructive sleep apnoea syndrome (OSAS). While PSG is essential for OSAS, this technique is not suitable for epidemiological investigation due to its high cost. This study aimed to compare a portable monitoring device with PSG for the measurement of parameters related to the diagnosis of OSAS in rural areas. METHODS: We conducted a descriptive study of 155 patients (30 women and 125 men; mean age, 52±12years) who visited to the Hendek Government Hospital Sleep Laboratory between February 2011 and January 2013 Apnoea hypopnea index (AHI), mean levels of O2 (meanO2), desaturation index (DI), and minimum oxygen saturation (minO2) variations as measured using both PSG and a portable Somnocheck Micro (SM) device were compared. RESULTS: Differences were found between the meanO2 and DI, but not between AHI and minO2. Differences between the methods were not desired, but the relationship between the methods was distinct and supported our hypothesis. CONCLUSIONS: The results of our study have shown that the SM portable device can be used as an alternative diagnostic tool in this population either at home or in sleep clinic.

Does periodic lung screening of films meets standards?

OBJECTIVE: To determine whether the workers' periodic chest x-ray screening techniques in accordance with the quality standards is the responsibility of physicians. Evaluation of differences of interpretations by physicians in different levels of education and the importance of standardization of interpretation. METHODS: Previously taken chest radiographs of 400 workers who are working in a factory producing the glass run channels were evaluated according to technical and quality standards by three observers (pulmonologist, radiologist, pulmonologist assistant). There was a perfect concordance between radiologist and pulmonologist for the underpenetrated films. Whereas there was perfect concordance between pulmonologist and pulmonologist assistant for over penetrated films. RESULTS: Pulmonologist (52%) has interpreted the dose of the films as regular more than other observers (radiologist; 44.3%, pulmonologist assistant; 30.4%). The frequency of interpretation of the films as taken in inspiratory phase by the pulmonologist (81.7%) was less than other observers (radiologist; 92.1%, pulmonologist assistant; 92.6%). The rate of the pulmonologist (53.5%) was higher than the other observers (radiologist; 44.6%, pulmonologist assistant; 41.8%) for the assessment of the positioning of the patients as symmetrical. Pulmonologist assistant (15.3%) was the one who most commonly reported the parenchymal findings (radiologist; 2.2%, pulmonologist; 12.9%). CONCLUSION: It is necessary to reorganize the technical standards and exposure procedures for improving the quality of the chest radiographs. The reappraisal of all interpreters and continuous training of technicians is required.

C-reactive protein/albumin ratio as a novel predictor for nutritional status of geriatric patients.

BACKGROUND AND AIMS: The C-reactive protein to albumin ratio (CAR) is a novel parameter that has been reported as a significant prognostic marker in some diseases. The purpose of the present research was to investigate the predictive value of this ratio with regard to nutritional status in geriatric patients. METHODS AND RESULTS: A total of 154 geriatric patients (age ≥65 years) who consecutively presented to the internal medicine outpatient clinic were included in this cross-sectional study. The Mini Nutritional Assessment (MNA) was used as a reference to determine the nutritional status of the patients. Based on the MNA results, the patients were divided into two groups: normal nutrition and malnourished or at risk of malnutrition. The median CAR of malnourished patients or those at risk of malnutrition was significantly higher than that of patients with normal nutritional status (p = .012). A significant negative correlation was also observed between the MNA score and the CAR (r = -0.196, p = .015). The receiver operating characteristic curve analysis indicated that the CAR was a significant predictor of malnourishment or the risk of malnutrition (p = .012). CONCLUSION: The CAR could predict which geriatric patients were malnourished or at risk of malnutrition. CAR may be used as a new tool in the nutritional screening of geriatric patients.

The Relationship Between Respiratory Complaints and Urine Aluminum Levels in Aluminum Factory Workers.

OBJECTIVE: This prospective case-control study aimed to investigate the forms and conditions of respiratory effects in workers working in an Aluminum Profile Factory. METHODS: All male (42 person, mean age: 32.2 ± 6.9) workers working in an Aluminum Profile Factory were compared with 33 controls. RESULTS: The urinary aluminum levels of the workers were significantly higher than the control group. Complaints of cough, sputum, shortness of breath and wheezing were statistically significantly higher than the control group. In aluminum workers, those with dyspnea had a significantly higher urinary Al level than those without dyspnea. CONCLUSIONS: It is thought that primary and secondary prevention are both important in the workplaces with aluminum exposure. Urinary aluminum level monitoring could be key to protecting the respiratory health of the workers.

Evaluation of inhaler technique and patient satisfaction with fixed-combination budesonide/formoterol dry-powder inhaler in chronic obstructive pulmonary disease (COPD): data on real-life clinical practice in Turkey.

INTRODUCTION: The present study was designed to evaluate inhaler techniques and patient satisfaction with fixed-combination budesonide/formoterol dry-powder inhaler chronic obstructive pulmonary disease (COPD) in Turkey in real-life clinical practice. PATIENTS AND METHODS: A total of 442 patients with COPD [mean (SD) age: 63.2 (10.6) years, 76.5% were males] were included in this cross-sectional study conducted at 25 outpatient clinics across Turkey. Data on socio-demographic characteristics, characteristics of COPD, inhaler technique and satisfaction with dry-powder inhaler were recorded at a single crosssectional visit performed at the study enrolment. RESULTS: Patients were characterized by prominence of moderate to severe (78.1%) COPD, high rate of regular use of overall COPD medications (89.4%) and Turbuhaler® for an average of 33.7 months, predominance of males (76.5%), primary education (85.7%), urban location (68.3), ex-smokers (61.1%) and spending time outdoors for ≥ 4 hour/day (62.0%). Use of correct techniques was evident in majority of patients (≥ 94%), whereas inhalation maneuvers including breathing out gently away from mouthpiece without blowing into it (71.9%) and holding the breath for 5-10 seconds (78.3%) were performed correctly by lesser percent of patients especially in the older group (≥ 65 years, p< 0.05). Overall percent of patients with the feeling that she/he used the inhaler very/fairly correctly was 73.3%, while 86% of patients identified that they were very/fairly satisfied with the inhaler, irrespective of age and educational status. CONCLUSION: In conclusion, our findings revealed the majority of patients are able to use Turbuhaler® correctly regardless of the educational status, while older age was associated with higher rate of errors in inhalation maneuvers in the real clinical practice in Turkey. Majority of our patients identified Turbuhaler® to be very/fairly convenient regarding ease of use, portability, and usability with an overall self-confidence in using the inhaler correctly among 73% and the satisfaction rate of 86%; irrespective of age and educational level.

A cross sectional observational study on the influence of chronic obstructive pulmonary disease on activities of daily living: the COPD-Life study.

INTRODUCTION: This study was designed to identify the impact of chronic obstructive pulmonary disease (COPD) on activities of daily living, life styles and needs in patients. PATIENTS AND METHODS: Participants of this national, multi-centered, cross-sectional observational study included 497 stable COPD patients from 41 centers. The mean age (standard deviation; SD) was 63.3 (9.3) years with 59.0% of the patients under the age of 65, and 89.9% of the participants were male. Sociodemographic and COPD-related data were gathered at enrollment and during the 1-month telephone follow-up. RESULTS: The mean (SD) COPD duration was 7.3 (6.5) years in the overall population while 5.4 (4.6) years for patients who recieved COPD diagnosis at least one year after the onset of symptoms. Dyspnea was the most common (83.1%) symptom and walking up stairs (66.6%) was the most difficult activity to be performed. Majority of the patients were aware of COPD as a chronic disease (63.4%), requiring ongoing treatment (79.7%), mainly caused by smoking (63.5%). 59% of the patients were under the age of 65 years-old. In 84% of patients, graduation from at least a primary school was identified. Results revealed an average number of two dependants that were obliged to look after per patient, ability to go on an outing in 91% of the patients, and going grocery shopping with ease in more than two-thirds of the study population. There was no significant difference in regular use of medication device across different educational or age groups. The top three COPD treatment expectations of the patients were being able to breathe (24.1%), walking (17.1%), and walking up stairs (11.7%), while shortness of breath (43.3%) was the first priority treatment need. CONCLUSION: In contrast to the common view that COPD prevalance is higher in old age population, this study showed that the rate of the disease is higher among younger patients than expected; indispensability of out of the house activities in majority of patients; and use of regular medication device to be independent of educational level and the age of COPD patients. Our findings indicate that the likelihood of COPD patient population to be composed of younger and active individuals who do not spend majority of their time at home/in bed as opposed to popular belief. Therefore, availability of a portable and easy to use device for medication seems to be important to enhance daily living.

A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.

Background and Purpose: Chronic obstructive pulmonary disease (COPD), is a primary public health issue globally and in our country, which continues to increase due to poor awareness of the disease and lack of necessary preventive measures. COPD is the result of a blockage of the air sacs known as alveoli within the lungs; it is a persistent sickness that causes difficulty in breathing, cough, and shortness of breath. COPD is characterized by breathing signs and symptoms and airflow challenge because of anomalies in the airways and alveoli that occurs as the result of significant exposure to harmful particles and gases. The spirometry test (breath measurement test), used for diagnosing COPD, is creating difficulties in reaching hospitals, especially in patients with disabilities or advanced disease and in children. To facilitate the diagnostic treatment and prevent these problems, it is far evaluated that using photoplethysmography (PPG) signal in the diagnosis of COPD disease would be beneficial in order to simplify and speed up the diagnosis process and make it more convenient for monitoring. A PPG signal includes numerous components, including volumetric changes in arterial blood that are related to heart activity, fluctuations in venous blood volume that modify the PPG signal, a direct current (DC) component that shows the optical properties of the tissues, and modest energy changes in the body. PPG has typically received the usage of a pulse oximeter, which illuminates the pores and skin and measures adjustments in mild absorption. PPG occurring with every heart rate is an easy signal to measure. PPG signal is modeled by machine learning to predict COPD. Methods: During the studies, the PPG signal was cleaned of noise, and a brand-new PPG signal having three low-frequency bands of the PPG was obtained. Each of the four signals extracted 25 features. An aggregate of 100 features have been extracted. Additionally, weight, height, and age were also used as characteristics. In the feature selection process, we employed the Fisher method. The intention of using this method is to improve performance. Results: This improved PPG prediction models have an accuracy rate of 0.95 performance value for all individuals. Classification algorithms used in feature selection algorithm has contributed to a performance increase. Conclusion: According to the findings, PPG-based COPD prediction models are suitable for usage in practice.

Sleep-wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea.

Sleep staging is an important step in the diagnosis of obstructive sleep apnea (OSA) and this step is performed by a physician who visually scores the electroencephalography, electrooculography and electromyography signals taken by the polysomnography (PSG) device. The PSG records must be taken by a technician in a hospital environment, this may suggest a drawback. This study aims to develop a new method based on hybrid machine learning with single-channel ECG for sleep-wake detection, which is an alternative to the sleep staging procedure used in hospitals today. For this purpose, the heart rate variability signal was derived using electrocardiography (ECG) signals of 10 OSA patients. Then, QRS components in different frequency bands were obtained from the ECG signal by digital filtering. In this way, nine more signals were obtained in total. 25 features from each of the 9 signals, a total of 225 features have been extracted. Fisher feature selection algorithm and principal component analysis were used to reduce the number of features. Finally, features were classified with decision tree, support vector machines, k-nearest neighborhood algorithm and ensemble classifiers. In addition, the proposed model has been checked with the leave one out method. At the end of the study, it was shown that sleep-wake detection can be performed with 81.35% accuracy with only three features and 87.12% accuracy with 10 features. The sensitivity and specificity values for the 3 features were 0.85 and 0.77, and for 10 features the sensitivity and specificity values were 0.90 and 0.85 respectively. These results suggested that the proposed model could be used to detect sleep-wake stages during the OSA diagnostic process.

Comparison of perioperative outcomes of videothoracoscopy and robotic surgical techniques in thymoma.

OBJECTIVE: In this study, the perioperative outcomes of video-assisted thoracoscopic surgery (VATS) and robot-assisted thoracoscopic surgery (RATS) were compared in patients with clinical stage I and stage II thymoma. METHODS: The outcomes of 24 patients (10 males and 14 females; mean age: 42.5 years; range: 18-65 years) with diagnoses of clinical stage I and stage II thymoma who underwent VATS in our clinic between April 2010 and March 2018 were compared with the outcomes of 21 patients (8 males and 13 females; mean age: 41.2 years; range: 19-63 years) with the same clinical stages of thymoma who underwent RATS between March 2013 and May 2018. The operative times, postoperative complications, lengths of hospital stay, and total amounts of chest tube drainage of the patients were evaluated. RESULTS: No postoperative mortality was observed in either group. In general, VATS was performed from the right side, and RATS was performed from the right hemithorax. The operative time was significantly longer in the VATS group than in the RATS group (106.5 min versus 75.7 min, respectively; p < 0.001). In the VATS group, the total amount of postoperative drainage from the chest tubes was greater than that in the RATS group (210 ml versus 325 ml, respectively), and the drainage time was longer in the VATS group than in the RATS group (3 days versus 5 days, respectively; p < 0.001). The length of hospital stay was longer for the patients in the VATS group than for those in the RATS group (5.3 days versus 4.1 days, respectively; p < 0.001). The levels of pain were similar in both groups. No difference in the complication rates was found between the 2 groups. CONCLUSION: In the treatment of clinical stage I and stage II thymoma patients, the robotic approach and excision with VATS are techniques with equal reliability. However, the use of robot-assisted thoracoscopic thymectomy technique is advantageous in terms of decreasing the total amount of postoperative drainage and shortening the length of hospital stay.

In obstructive sleep apnea patients, automatic determination of respiratory arrests by photoplethysmography signal and heart rate variability.

Obstructive sleep apnea is a disease that occurs in connection to pauses in respiration during sleep. Detection of the disease is achieved using a polysomnography device, which is the gold standard in diagnosis. Diagnosis is made by the steps of sleep staging and respiration scoring. Respiration scoring is performed with at least four signals. Technical knowledge is required for attaching the electrodes. Additionally, the electrodes are disturbing to an extent that will delay the patient's sleep. It is needed to have systems as alternatives for polysomnography devices that will bring a solution to these issues. This study proposes a new approach for the process of respiration scoring which is one of the diagnostic steps for the disease. A machine-learning-based apnea detection algorithm was developed for the process of respiration scoring. The study used Photoplethysmography (PPG) signal and Heart Rate Variability (HRV) that is derived from this signal. The PPG records obtained from the patient and control groups were cleaned out using a digital filter. Then, the HRV parameter was derived from the PPG signal. Later, 46 features were derived from the PPG signal and 40 features were derived from the HRV. The derived features were classified with reduced machine-learning techniques using the F-score feature-selection algorithm. The evaluation was made in a multifaceted manner. Besides, Principal Component Analysis was performed to reduce system input (features). According to the results, if a real-time embedded system is designed, the system can operate with 16 PPG feature 95%, four PPG feature 93.81% accuracy rate. These success rates are highly sufficient for the system to work. Considering all these values, it is possible to realize a practical respiration scoring system. With this study, it was agreed upon that PPG signal may be used in the diagnosis of this disease by processing it with machine learning and signal processing techniques.

Serum prolidase activity, total oxidant/antioxidant, and nitric oxide levels in patients with esophageal squamous cell carcinoma.

BACKGROUND: This study aims to assess the prolidase activity, nitric oxide levels, and oxidative status in patients with esophageal squamous cell carcinoma. METHODS: The study included 30 patients with esophageal squamous cell carcinoma (11 males, 19 females; mean age 61±3 years; range, 28 to 77 years) and 30 healthy controls (10 males, 20 females; mean age 58±5 years; range, 31 to 73 years). Serum prolidase activity, total antioxidant capacity, total oxidant status, and nitric oxide levels were measured. In addition, the oxidative stress index was calculated. RESULTS: Prominently elevated serum prolidase activity, oxidative stress index values, total oxidant status, and nitric oxide levels were detected in the patient group (p<0.05). Lower total antioxidant capacity levels were observed in the patient group (p<0.05). CONCLUSION: Increased oxidant status with increased nitric oxide levels and prolidase activity were found in esophageal squamous cell carcinoma patients. Impairment of antioxidant mechanism with increased prolidase activity and nitric oxide levels may have a crucial role in the etiopathogenesis of esophageal squamous cell carcinoma.

Effect of symptom-to-treatment interval on prognosis in lung cancer.

AIMS AND BACKGROUND: To evaluate the relationship between delayed diagnosis and the degree of invasion and survival in lung cancer. METHODS: One hundred and three patients (96 men) with lung cancer were included. Stages in the diagnosis of lung cancer were classified as follows: symptom-to-doctor interval, i.e., the interval from the first symptoms related to the presence of lung cancer to the first consultation with a medical professional; doctor-to-diagnosis interval, i.e., the interval between the first medical visit and confirmation of the diagnosis; and diagnosis-to-treatment interval, i.e., the interval between diagnosis and complete TNM staging and treatment. The symptom-to-treatment interval (STI) was the sum of the 3 intervals. The degree of invasion was determined by the TNM classification. RESULTS: The patients were followed up for a mean period (= SD) of 7.4+/-8.7 months. Seventy-six (74%) patients were diagnosed with non-small cell lung cancer (NSCLC) and 27 patients (26%) with small cell lung cancer (SCLC). The mean length of STI was 120+/-101 days (median, 90). The mean length of the symptom-to-doctor interval was 63+/-62 days (median, 45), while the doctor-to-diagnosis and diagnosis-to-treatment intervals were 41 +/-82 days (median, 10) and 16+/-12 days (median, 12), respectively. When the STIs of the patients were correlated with tumor stage, tumor invasion, lymph node involvement and metastasis, no significant differences were found. Patients with an STI longer than 60 days had a significantly longer survival. Regarding the type of lung cancer and STI, the median survival was shorter in patients with an STI of less than 60 days both in NSCLC and SCLC, although this was not statistically significant in SCLC. CONCLUSIONS: The shorter the diagnostic interval, the shorter was the median survival in our study. The reason for the apparent discrepancy between poor prognosis of lung cancer patients in spite of early diagnosis might be much faster progression of the disease itself.

Which patients are able to adhere to tuberculosis treatment? A study in a rural area in the northwest part of Turkey.

The purpose of this study was to investigate various factors, including demographical, socioeconomical, clinical and radiological features, of adherent and nonadherent patients with tuberculosis (TB) who were admitted to a university hospital between 1998 and 2003. One hundred and one patients (65.5%) and 53 patients (34.5%) met the criteria of adherence and nonadherence, respectively. A higher rate of adherence was observed among females than males (79.2 versus 58.4%, respectively, P = 0.012). Older patients were more nonadherent (P = 0.008). The adherence rate in non-smokers was significantly higher than that of smokers (81.4 and 52.4%, respectively, P = 0.000). Patients who underwent "family screening" were more adherent (75.7%) than those (39.5%) who did not (P = 0.000). Patients with pleurisy had higher adherence rates (81.3%), followed by patients with pulmonary TB (65.0%), while patients with extrarespiratory TB had the lowest adherence rates (45.5%) (P = 0.024). The presence of cough was significantly associated with adherence (P = 0.049). A significantly higher adherence rate was observed in patients without hemoptysis (P = 0001). A univariate logistic regression confirmed that age, smoking, family screening, type of TB, cough and hemoptysis had significant independent effects on the adherence to treatment of TB. High-risk patients may be identified and interventions tailored to promote adherence before concluding that the patient is willfully refusing treatment.

Respiratory symptoms and peak expiratory flow rates among furniture-decoration students.

This study was designed to evaluate the effects of furniture production, mainly including fir tree (aberia mulleriana), on respiratory health of young workers and to compare the results with those obtained from previous studies. Sixty-four furniture-decoration students (57 males and 7 females) and 62 controls (54 male, 8 female) from different departments in the same school were included into the study. All participants were assessed with a questionnaire (concerning history of occupational exposure, work-related respiratory and other symptoms, smoking history, previous asthma history), full physical examination, spirometric evaluation and chest radiograph. Participants then performed serial monitoring of peak expiratory flow rates (PEFR) at work and away from work within a month. Mean age of students was 20.9 +/- 3.7 years, 20.5 +/- 2.6 years in controls. There was no difference between study and control groups with regard to age, gender, smoking status and previous asthma history. Reported cough (23.4 % vs. 8.1 %) and shortness of breath (18.8 % vs. 6.5 %) were significantly higher in furniture-decoration students than in controls (p = 0.016 and p = 0.034, respectively). Furniture-decoration students had higher conjunctivitis (34.4 % vs. 9.7 %, p = 0.001) and rhinitis (34.4 % vs. 19.4 %, p = 0.044) history when compared with controls. Both students and controls were normal in terms of respiratory examination. PEF recordings were performed for approximately one month. Diurnal variability greater than 20 % was seen in 12/64 (18.7 %) of students at work, whereas it was detected in 4/62 (6.4 %) of controls (p = 0.034). When comparing for the presence of diurnal variability greater than 20 % in weekends, no difference was found between groups (p = 0.457). In conclusion, early detection of work-related respiratory changes by serial monitoring of peak expiratory flows should save the workers from hazardous respiratory effects of the furniture production, especially in young population.

Bronchial wall thickness in toll collectors.

There is an increasing concern about the possible adverse effects of diesel exhaust particulates on human health. In a diesel exposed occupational group composed of 120 toll collectors, a cross-sectional study was performed to evaluate the chest radiographs and 40 toll collectors were selected for computed tomography examination according to hyperinflation and linear markings. The wall thicknesses and luminal diameters of trachea, main bronchi, and segmental bronchi of right apical and posterior basal segments were measured with manual tracing method. The walls of right upper bronchus in exsmoker toll collectors were significantly thicker than those of nonsmokers (p=0.011). A positive correlation was observed between age and the right upper bronchus wall thickness (r=0.577, p=0.000). An inverse correlation was found between the working duration and the diameter of right main bronchus (r=-0.366, p=0.020). A positive correlation was seen between smoking and the right upper bronchus wall thickness (r=0.457, p=0.005). Diesel exposure might have a role in increase of thickness of large airways wall and a decrease in the diameters of large airways. Studies in this area are needed to protect the population under the diesel exposure risk.

Annual changes in forced expiratory flows in toll collectors: results from a four years observation.

Diesel exhaust (DE) has been accused for various health outcomes including exacerbation of asthma, chronic bronchitis. Exposure to DE has long-term effects on lung development in children and reductions in lung function have been reported. The aim of the study was to evaluate the annual changes in forced expiratory flows among toll collectors in Duzce city from 2002 to 2005. Annual FVC, FEV(1) and MMF changes in smoker and nonsmoker 58 toll collectors and 37 controls selected among men who worked in the same company as officer have been followed up. No significant changes were seen in expiratory flows among smoker-nonsmoker toll collectors and controls (p>0.05). Annual FVC, FEV(1) and MMF changes were not significantly different between smoker and nonsmoker toll collectors. Twelve toll collectors (20.7%) in the study group and 4 (10.8%) controls were found to have FEV(1) and FVC below longitudinal lower limit of normal. The difference between groups did not reach statistically significance (p>0.05). Toll collectors (18/58) and controls (15/37) with spirometric measurements for three times showed no difference according to the rate of annual difference in either FEV(1) (-21.3+/-133.1 ml/yr vs -44.3+/-166.6 (ml/yr) or FVC (13.2+/-202.9 ml/yr vs. -16.1+/-204.2 ml/yr). Further investigations including large groups with long term follow up are needed to observe annual FVC, FEV(1) and MMF changes among toll collectors.

High serum homocysteine levels correlate with a decrease in the blood flow velocity of the ophthalmic artery in highway toll collectors.

Highway workers, such as policemen, automotive service companies, and toll collectors, are placed at risk of the accelerated atherosclerotic process, since recent studies have suggested that exposure to exhaust particles and ambient air pollution increases carotid intima-media thickness and reduces ocular blood flow velocity. Therefore, we assessed the relationship between serum homocysteine, a potential parameter for atherosclerosis, and the ocular blood flow velocity and the resistivity index in highway toll collectors. The peak systolic and end diastolic flow velocities and the resistivity index were measured in 22 toll collectors and 24 control subjects by color Doppler ultrasonography. The resistivity index, which is an indirect measure of the atherosclerotic process, was calculated: resistivity index = (peak systolic velocity - end diastolic velocity)/peak systolic velocity. Serum homocysteine levels were determined by fluorometric high-performance liquid chromatography. In the highway toll collectors, the serum homocysteine level (14.4 +/- 4.8 micromol/l; p < 0.005) and the resistivity index of the ophthalmic artery (0.741 +/- 0.015; p < 0.05) were higher and the ophthalmic blood flow velocity (33.0 +/- 3.0 cm/s; p < 0.001) was lower than those in the controls (10.6 +/- 3.1 micromol/l; 0.728 +/- 0.023; 36.8 +/- 2.2 cm/s; respectively). There were significant correlations between the serum homocysteine level and ophthalmic artery resistivity index in both highway toll collectors (p < 0.001) and controls (p < 0.005). Exposure to exhaust particles might increase the serum homocysteine level, which in turn could lead to the decreased ocular blood flow and the increased resistivity index.

Intima-media thickness of the common carotid artery in highway toll collectors.

PURPOSE: To assess the effects of exposure to exhaust particles on intima-media thickness of the common carotid artery in highway toll collectors. METHODS: Sixty-one highway toll collectors (HTCs) between 24 and 56 years of age (mean, 36.2 +/- 7.3) and 48 controls between 24 and 64 years of age (mean, 42.6 +/- 10.6) were evaluated with gray-scale sonography to measure intima-media thickness (IMT) of the common carotid artery (CCA). Subgroups were categorized according to duration of exhaust exposure and further divided according to tobacco use. RESULTS: CCA IMT was higher (0.8 +/- 0.2 mm) in HTCs than in the control group (0.6 +/- 0.1 mm; p < 0.001) and remained higher when subgroups with similar smoking habits were compared. In HTCs, IMT was greater when the number of years working in tollbooths was greater (p = 0.023). IMT was lower in HTCs with an exposure duration of < 10 years compared with a duration of 10-20 years (p = 0.017) or > 20 years (p value not significant). CONCLUSION: Air pollution has a widely acknowledged negative effect on humans. This study confirms that exposure to exhaust particles might cause wall thickening of carotid arteries.