Adenosine deaminase activity in serum of patients with hepatitis -- a useful tool in monitoring clinical status.

BACKGROUND AND PURPOSE: The evaluation of adenosine deaminase (ADA) activity in sera of patients with hepatitis should be considered a useful tool in the monitoring of their clinical status. In this study, we aimed to determine the relationship between viral load, transaminase levels, and serum ADA levels in hepatitis B virus (HBV)- and hepatitis C virus (HCV)-infected patients. METHODS: Seventy three patients with hepatitis B, 71 patients with hepatitis C and 40 healthy individuals were included. Patients with HBV and HCV infections were classified into 3 groups according to viral load. Serum ADA levels were investigated by colorimetric assays. RESULTS: Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and ADA levels of HBV- and HCV-infected patients were higher than those of the control group. These differences were statistically significant for the levels of all enzymes in HCV-infected patients (p<0.05), and all except AST (p>0.05) in HBV-infected patients. ADA levels of HBV-infected patients with high viral loads were higher than those in HBV-infected patients with intermediate and low viral loads, and the difference was detectably significant between patients with high and intermediate viral loads. Evaluation of HCV-infected patients according to viral load showed no statistically significant relationship between viral load and serum ADA, ALT, and AST levels (p>0.05). HBV- and HCV-infected patients with high ALT and AST levels showed statistically significantly higher levels of ADA than patients with normal ALT and AST levels (p<0.001). CONCLUSIONS: We suggest that serum ADA levels are associated more with the level of serum transaminases than viral load in HBV- and HCV-infected patients. In the treatment of patients with hepatitis, serum ADA levels should be considered a useful tool for the monitoring of liver condition.     

Zoster paresis

Herpes zoster (HZ) is essentially a viral disease of the posterior root ganglia and sensory nerve fibers, which presents clinically with vesicular eruption of the skin, radicular pain and sensory changes in the distribution of the affected ganglion. However, motor involvement can be seen as well. If classic cutaneous lesions are present, HZ-related motor paresis is easily diagnosed. Otherwise, the diagnosis may be suspicious, especially if the weakness occurs before the cutaneous lesions have appeared, or weeks after they have subsided. We present a patient with HZ-related motor paresis due to radiculopathy in the cervical segments whose motor symptoms and signs appear as major clinical features.     

Familial cerebellar ataxia and hypogonadism associated with sensorimotor axonal polyneuropathy

In this article, we report two siblings who have familial cerebellar ataxia and hypogonadism associated with sensorimotor axonal polyneuropathy documented by light microscopy. This combination has not been reported previously in the literature. Cerebellar ataxia and hypogonadism is reviewed according to the clinical and laboratory features of the reported cases in the literature.     

Radiological evaluation of internal abdominal hernias.

An internal abdominal herniation is the protrusion of a viscus through a normal or abnormal mesenteric or peritoneal aperture. Internal abdominal herniations can either be acquired through a trauma or surgical procedure, or constitutional and related to congenital peritoneal defects. Paraduodenal hernias are the most common type of internal abdominal hernias, accounting for over one-half of reported cases, and thus are a significant clinical entity. Other internal hernias include pericecal, transmesenteric, transomental, intersigmoid, supravesical hernias and herniation through the foramen of Winslow. Because internal abdominal herniations are rare, their diagnosis remains a challenge for both the clinician and the radiologist. Symptoms of internal abdominal herniations are nonspecific. We present our experience with the radiological evaluation of internal abdominal herniations and review the main radiologic findings on barium as well as computed tomography studies.     

Diagnostic value of screening tests in subgroups of women with recurrent pregnancy loss

Objective: To evaluate the diagnostic value of screening laboratory tests in women who had recurrent pregnancy loss (RPL).

Methods: A total of 252 women with RPL managed in our tertiary referral research and education hospital were included in the study. Risk factors recorded involved age, gravidity, parity, number of prior live births, number of pregnancy losses, and thrombophlia tests. The cases were divided into three different groups and each group was analyzed separately.

Results: There was no statistically significant difference between the first and second groups in terms of clinical and laboratory parameters (p?>?0.05). In the third group, there was a statistically significant difference among cases in terms of parity, gravidity, number of pregnancy losses, serum AT III levels, APCR, and age of the women. According to the logistic regression model, odds ratios (95% CI) were 6.116 (3.797–9.852), 5.665 (2.657–12.079), 4.763 (3.099–7.321), 4.729 (3.080–7.260), 2.820 (1.836–4.333), and 1.911 (1.232–2.965), respectively.

Conclusions: We do not recommend the screening of all women with RPL, but in women with high parity and those who had prior live birth pregnancies, increased AT III, and APCR may be diagnostic markers for subsequent pregnancy loss.     

Does severe obstructive sleep apnea syndrome alter retrobulbar blood flow? A color Doppler ultrasound study

Purpose

To evaluate extraocular orbital vessels with color Doppler ultrasound (CDU) and investigate the effects of severe obstructive sleep apnea (OSA) on retrobulbar blood flow.

Methods

Between February 2014 and September 2015, 30 patients with severe OSA (apnea–hypopnea index (AHI) > 30) and 28 controls were prospectively included in this study. Intraocular pressure (IOP) was measured with a Goldmann applanation tonometer, and CDU was used to evaluate the retrobulbar vessels.

Results

The mean AHI score for the OSA group was 63.2 ± 21.5 per hour. The IOP values were significantly higher in the severe OSA group (p < 0.05). The central retinal artery peak systolic velocity (PSV) (p < 0.05) and end-diastolic velocity (EDV) (p < 0.02), and the ophthalmic artery (OA) PSV and EDV, were found to be significantly lower in the OSA group (p < 0.05).

Conclusion

Severe OSA causes an increase in IOP and a decrease in flow velocity in the retrobulbar circulation.

     

Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging‑derived texture features

Purpose

Hypophysitis is a heterogeneous condition that includes inflammation of the pituitary gland and infundibulum, and it can cause symptoms related to mass effects and hormonal deficiencies. We aimed to evaluate the potential role of machine learning methods in differentiating hypophysitis from non-functioning pituitary adenomas.

Methods

The radiomic parameters obtained from T1A-C images were used. Among the radiomic parameters, parameters capable of distinguishing between hypophysitis and non-functioning pituitary adenomas were selected. In order to avoid the effects of confounding factors and to improve the performance of the classifiers, parameters with high correlation with each other were eliminated. Machine learning algorithms were performed with the combination of gray-level run-length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray-level co-occurrence entropy.

Results

A total of 34 patients were included, 17 of whom had hypophysitis and 17 had non-functioning pituitary adenomas. Among the 38 radiomics parameters obtained from post-contrast T1-weighted images, 10 tissue features that could differentiate the lesions were selected. Machine learning algorithms were performed using three selected parameters; gray level run length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray level co-occurrence entropy. Error matrices were calculated by using the machine learning algorithm and it was seen that support vector machines showed the best performance in distinguishing the two lesion types.

Conclusions

Our analysis reported that support vector machines showed the best performance in distinguishing hypophysitis from non-functioning pituitary adenomas, emphasizing the importance of machine learning in differentiating the two lesions.