The aim of this study was to evaluate the predictive value of factors in infertile male patients to retrieve sperm from their testicles before they undergo testicular sperm extraction (TESE). In total, 64 males were enrolled in this study. Infertility was identified as obstructive azoospermia (OA); non-obstructive azoospermia (NOA); Klinefelter syndrome (KS); and cryptozoospermia (Crypt). Age, body mass index and concomitant conditions were noted. Testicular volumes, serum levels of Follicle-Stimulating Hormone (FSH), Luteinizing Hormone (LH), testosterone (T) and prolactin were investigated. Sperm retrieval after TESE was noted as positive or negative. Average age of the cases was 36.8 years. TESE success rate of testicular sperm retrieval rate was 50.0%. Majority of men (83.9%) had a 46, XY karyotype, minority had genetic anomalies, and 5 of were diagnosed with KS – all were TESE-negative. There was no statistical difference in age, testicular volume, presence of varicocele and microcalcifications or hormonal levels in the TESE-positive and negative groups. Smoking as an independent variable was the only risk factor statistically showing (OR = 0.269; p = 0.045) prediction of negative sperm retrieval after the TESE procedure. None of the parameters investigated herein predicted successful TESE outcomes. However, in cases with negative TESE only smoking was identified as a predictive factor for negative sperm retrieval and was established as a risk factor. Abbreviations: AZF: azoospermia factor; BMI: body mass index; Crypt: cryptozoospermia; FSH: Follicle-Stimulating Hormone; ICSI: intracytoplasmic sperm injection; IU: international unit; KS: Klinefelter syndrome; LH: Luteinizing Hormone; mL: milliliter; NOA: non-obstructive azoospermia; OA: obstructive azoospermia; T: testosterone; TESA: testicular sperm aspiration; TESE: testicular sperm extraction

Background. Major trauma and soft tissue injuries result in a substantial activation of systemic immune response and post-traumatic complications such as postoperative infections. The aim was to assess the dynamics of expressed inflammatory biomarkers after surgery and to detect possible postoperative infection. Methods. A total of 229 patients were included and separated into three different groups, depending on the procedure they underwent (colorectal, maxillofacial, open heart surgery). Biomarkers CD64 on neutrophils, C-reactive protein (CRP), count of leucocytes and neutrophils were measured to detect postoperative infection. Results. The values of all biomarkers after surgery were generally elevated and had then dropped 48 h after the procedure. The levels were dependent on the type of operation and showed higher levels after more serious procedures. In the patients with postoperative infections the values were considerably higher. Moreover, biomarkers’ cut-off values for positive infection were higher from patients who underwent surgery, compared to the cut-off values from patients with no surgical procedure. CD64 index was the only biomarker that could predict postoperative infection (p < 0.001). Other biomarkers could not statistically predict the infection. Conclusions. Newly acquired postoperative infection is difficult to diagnose using just biomarkers due to the strong activation of immune response. CD64 index with its slightly higher cut-off (> 1.27) is the only biomarker that could be used as a diagnostic tool to rapidly detect postoperative bacterial infection.

Introduction: Sepsis associated with ventilator-associated pneumonia (VAP) causes mortality in intensive care unit (ICU) patients. The time of diagnosis is crucial, and microbiological cultures take time. In this study, the diagnostic accuracy of CD64 index to predict VAP-induced sepsis and survival time in subjects requiring mechanical ventilation were evaluated and compared to conventional biomarkers and culturing methods. Methodology: A total of 32 subjects with VAP were included. Sepsis after VAP was diagnosed in 25 (78.1%) patients according to clinical signs, radiographic examination, and samples of blood and trachea taken for culturing. Simultaneously with cultures, CD64 index on neutrophils, C-reactive protein (CRP), procalcitonin (PCT), and count of leucocytes and neutrophils were determined. Results: Biomarker values were evaluated in both groups of subjects (with and without sepsis after VAP). The values of CD64 index and CRP were significantly higher in the sepsis group. Receiver operating characteristic (ROC) curve analysis revealed an area under curve (AUC) of 0.929 for CD64 index in differentiating subjects with VAP-induced sepsis from those without sepsis. The biomarkers CRP and PCT showed comparable results (AUC of 0.869 and 0.909, respectively). Blood cultures were positive in 12 subjects, endotracheal aspirate in 19. CD64 index and isolation of pathogen with positive blood cultures or from endotracheal aspirate (positive in 24 cases) could predict survival time before application of more targeted antibiotic therapy. Conclusions: CD64 index may be used as a useful diagnostic tool to recognize VAP-induced sepsis; moreover, accompanied with an identified pathogen, can predict survival for ICU patients.

Surgery associated with trauma and soft tissue injuries after surgery significantly activates the systemic immune response. If an infection after surgery occurs, the response is even stronger. Due to spontaneous activation of immune response and elevated biomarkers for sepsis and cytokines, posttraumatic complications such as new-coming postoperative infections are difficult to diagnose. Sepsis as systemic inflammatory response syndrome (SIRS) rapidly progresses through severe sepsis to septic shock and organ failure, and with no applied antibiotic treatment, the disease often ends at death of the patients. In the treatment of non-surgery patients, the biomarkers like white cell blood count, Creactive protein (CRP) or procalcitonin (PCT) proved to be useful in sepsis recognition. However, diagnostics after surgeries are more complicated and these biomarkers are not ideal. The solution is a sepsis biomarker, which would have high sensitivity and specificity, that can improve diagnostic accuracy of sepsis, should also be measured easily by the patients, and should not be too expensive. We think more sensitive and specific biomarkers such as presepsin (sCD14-ST) or CD64 index on neutrophils could be useful. A diagnosis of sepsis should be based on clinical signs, and clinicians should use biomarker that is not only most sensitive and specific but also is cost effective. Furthermore, confirmation of the bacterial or fungal infection with blood cultures or with the use of broad range polymerase chain reaction (PCR), when culturing is impossible, should be performed.

Background. Helicobacter pylori infection is the main cause of gastric cancer. The disease progression is influenced by the host inflammatory responses, and cytokine single nucleotide polymorphisms (SNPs) may have a role in the course of the disease. The aim of our study was to investigate proinflammatory cytokine polymorphisms, previously associated with the development of gastric cancer, in a Slovenian population. Patients and methods. In total 318 patients and controls were selected for the study and divided into three groups: (i) patients with gastric cancer (n = 58), (ii) patients with chronic gastritis (n = 60) and (iii) healthy control group (n = 200). H. pylori infection in patient groups was determined by serology, histology and culture. Four proinflammatory gene polymorphisms were determined (IL-1β, IL-1rα, TNF-α, TLR-4) in all subjects. Results. We found a statistically significant difference between males and females for the groups (p = 0.025). Odds ratio (OR) for gastric cancer risk for females was 0.557 (95% confidence interval [CI]: 0.233―1.329) and for chronic gastritis 2.073 (95% CI: 1.005―4.277). IL-1B- 511*T/T homozygous allele for cancer group had OR = 2.349 (95% CI: 0.583―9.462), heterozygous IL-1B- 511*T had OR = 1.470 (95% CI: 0.583―3.709) and heterozygotes in TNF-A -308 genotype for chronic gastritis had OR = 1.402 (95% CI: 0.626―3.139). Other alleles had OR less than 1. Conclusions. We could not prove association between gastric cancer and chronic gastritis due to H. pylori in any cytokine SNPs studied in Slovenian population. Other SNPs might be responsible besides infection with H. pylori for the progression from atrophy to neoplastic transformation.