Objective: Trichomoniasis is a parasitic infection that occurs with the settlement of Trichomonas vaginalis in female and male urinary and reproductive tracts. This infection is generally asymptomatic in males, and males are thought to be a carrier for the transmission of infection. In this study, our aim was to detect trichomoniasis using nested polymerase chain reaction among males who were referred to a hospital with suspected urinary tract infection. Methods: Urine samples were collected from 138 male patients between 18 and 50 years of age who were referred with suspected urinary system infection to the Urology Outpatient Clinic at Malatya University Medical Center Malatya between December 2013 and May 2014. Direct microscopy, two different culture methods, and nested Polymerase chain reaction (PCR) were performed for the investigation of T. vaginalis in urine samples. Results: Urinary tract infection was diagnosed in 47 of the 138 patients according to white and red blood cell counts in the urine samples. T. vaginalis infection was detected in 6.5% (9/138) of the suspected patients by nested PCR, while none of the samples tested positive by direct microscopy and culture examinations. Statistical significance was found between infection of the urinary tract and nested PCR positivity for T. vaginalis. Conclusions: According to our results, nested PCR is the most sensitive method for the detection of trichomoniasis in male patients. We strongly recommend using nested PCR for the differential diagnosis of urinary infections in males.

Parasitic diseases are seen as an important public health problem, especially in developing countries and affect approximately four billion people in the world (1). Various factors such as gender, age, socioeconomic level, personal hygiene habits, education level, nutrition, staying in communal places, traditions, eating habits, infrastructure and seasonal changes are effective on these incidence rates (2).

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Aim:The aim of this study was to determine the factors affecting disease severity in patients with a positive pathologic diagnosis of Helicobacter pylori after gastric biopsy by data mining. It was aimed to utilize the more descriptive structure of data mining algorithms compared to traditional classification and regression approaches. Methods:The study data were obtained from gastric biopsy samples of 1247 patients, 40.5% male and 59.5% female, who were sent to the pathology laboratory between 2014 and 2018. A total of 6 factors including age, gender, inflammation, metaplasia, atrophy and activation, which are thought to have an effect on gastric H. pylori severity, were examined. Querying the effects of factors was done with the CART (Classification and Regression Trees) decision tree algorithm, one of the data mining algorithms. Results:The factors ranking as their effect on the severity of gastric h. pylori, as follows; activation > inflammation > metaplasia > atrophy > age > gender in a percentage of normalized importance at 100.00%, 88.6%, 51.4%, 38.1%, 12.8%, 3.3% respectively. Conclusion:As a result, levels of activation, inflammation, and metaplasia emerged as the most important factors affecting gastric H. pylori severity.