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1.
G Ital Med Lav Ergon ; 20(2): 68-74, 1998.
Article in English | MEDLINE | ID: mdl-9658237

ABSTRACT

OBJECTIVES: To evaluate whether there is an association between deep-sea fishing and common chronic disease. METHODS: The study was cross-sectional, simultaneously considering groups of fishermen and non-fishermen. Information on life-style and work was collected by means of questionnaires, and clinical data were collected by specialists in: Internal Medicine (general clinical examination), Cardiology (ECG, measurement of arterial pressure), Pneumology (measurement of spirometric volumes), ENT (clinical examination of the ear, nose and throat, including audiometry), Ophthalmology (examination of lens). Beside the common statistical methods, the logistic stepwise regression analysis was used in order to find the risk factors of the diseases, and to correct the risk estimates for the confounding variables. RESULTS: Fisherman had prolonged hours of continuous work, which were found to be correlated with high cigarette and alcohol consumption. Significant associations were found between, on the one hand, work accidents, noise-induced hearing loss, solar keratosis, cataracts, obstructive bronchitis, rhino-sinusitis, otitis media with tympanic perforation, ECG alterations, and, on the other hand, various aspects of fisherman occupation, mainly fishing in high sea and work duration as fisherman. CONCLUSION: Deep-sea fishing is a stressful and risky work; a reduction in the number of years at sea with reduced exposure to noise, poor weather conditions and sun, and a lower consumption of cigarettes and alcohol might result in fewer skin, eye respiratory and cardiovascular diseases, and injuries.


Subject(s)
Fisheries , Occupational Diseases/etiology , Occupations , Adult , Alcohol Drinking/epidemiology , Cross-Sectional Studies , Data Interpretation, Statistical , Humans , Italy/epidemiology , Life Style , Male , Middle Aged , Noise, Occupational/adverse effects , Occupational Diseases/diagnosis , Occupational Diseases/epidemiology , Smoking/epidemiology , Surveys and Questionnaires , Time Factors
2.
Am J Gastroenterol ; 89(9): 1528-36, 1994 Sep.
Article in English | MEDLINE | ID: mdl-8079932

ABSTRACT

Prognostic factors of the outcome of upper gastrointestinal bleeding in patients with cirrhosis are insufficiently defined. Pertinent clinical, biochemical, and endoscopic data of 332 upper gastrointestinal bleedings in 268 patients with cirrhosis observed in the participating centers during 31 months were recorded. Clinical data were analyzed until 40 days after bleeding. A further set of 82 bleedings was used as a validation group. Ninety-two of the 268 patients died within the time of the study, and 28 of the 82 patients of the validation group died. According to a stepwise logistic regression analysis, s-creatinine, ascites on admission, previous diagnosis of hepatocellular carcinoma, s-bilirubin, prothrombin index, varices as definite or probable source of bleeding, gender, and presentation with hemathemesis were the best set of covariates for predicting outcome. From them a prognostic index was developed and validated in the 82 further bleedings. Sensitivity and specificity in the cumulated training and test sets were 75 and 80%, respectively. In the present material, the prognostic index was significantly more efficient than Child-Pugh score or the prognostic index proposed by Garden et al. These data show that it is possible to predict the outcome of upper gastrointestinal bleeding in cirrhosis on the basis of few easily available data. The prognostic index we proposed and validated may become useful to predict the outcome of a bleeding and to select or stratify patients in clinical trials.


Subject(s)
Esophageal and Gastric Varices/mortality , Gastrointestinal Hemorrhage/mortality , Liver Cirrhosis/complications , Esophageal and Gastric Varices/etiology , Female , Gastrointestinal Hemorrhage/etiology , Humans , Liver Cirrhosis/mortality , Logistic Models , Male , Middle Aged , Prognosis , Reproducibility of Results , Risk Factors , Sensitivity and Specificity , Severity of Illness Index , Survival Analysis , Survival Rate , Time Factors
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