The effect of Attention Deficit and Hyperactivity Disorder on Antiretroviral Treatment and Appointment Adherence among adults living with HIV.

INTRODUCTION: The most prominent characteristic of adult attention deficit hyperactivity disorder (ADHD) is impulsive behavior and deficits in executive functions, which require long-term organization and discipline. This may have serious implications in terms of adherence to treatment among adults living with HIV (PLWH). This study aimed to determine the prevalence of ADHD among non-perinatally infected PLWH and its effect on adherence to antiretroviral treatment (ART) and scheduled appointments. METHODOLOGY: The PLWH admitted to our centers between January 2012 and February 2016 were invited to the study. ADHD diagnosis was made according to the novel criteria guided interviews. The first ART interruption for ≥ 6 days per month (≤ 80%) was defined as ''ART-event'' and the first non-attendance of any scheduled appointment was defined as ''appointment-event''. Kaplan-Meier plot with a Log-rank test was used for event-free adherence (EFA). RESULTS: Twenty-five patients out of 85 were diagnosed with ADHD (29.4 %) which was significantly higher than the highest percentage reported (7.3 %) for the general population (p < 0.0001). Both ART-event (p = 0.0002) and appointment-event (p = 0.02) were significantly higher among ADHD participants compared to those without. Additionally, both ART-EFA (p = 0.00014) and appointment-EFA (p = 0.023) were significantly shorter among ADHD participants compared to those without. CONCLUSION: ADHD is significantly higher in adult PLWH and people with ADHD had a significant tendency for non-adherence to ART and follow-up. Screening for ADHD as well as providing treatment when required would be beneficial to achieve and maintain virologic success.

Alexithymia in patients with conversion disorder.

BACKGROUND AND AIMS: In the recent years, it has been observed that alexithymia is not specified for the psychosomatic disorders. It is known that alexithymia is observed frequently in various psychiatric disorders especially in the somatoform disorders. The aim of this study is to evaluate alexithymia in the patients with the conversion disorder. METHODS: The study was performed in the Psychiatry Outpatients Clinics of the Izmir Atatürk Training and Research Hospital and Erenköy Psychiatry Education and Research Hospital. A total of 93 cases-47 outpatients who were diagnosed with conversion disorder according to the DSM-IV criteria and 46 age, gender and educational level matched healthy controls-were included in the study. All the cases were assessed by a Structured Clinical Interview for DSM-IV and were evaluated with a questionnaire (which included demographics and clinical data), the Toronto Alexithymia Scale and the Somatosensory Amplification Scale. RESULTS: When the two groups were compared, the Toronto Alexithymia Scale scores (except "externally oriented thinking" subscale) and the Somatosensory Amplification Scale score of the conversion disorder group were statistically significantly higher than the control group. The number of the alexithymic cases of the patient group was significantly higher than the control group's. CONCLUSIONS: The level of alexithymia in conversion disorder patients, without any other psychiatric disorder, is higher than that of the healthy controls. During the evaluation of the psychological state of patients with conversion disorder, it could be useful to keep in mind the probability of them having alexithymia to determine the type of suitable therapy.

Depression, anxiety, body image, sexual functioning, and dyadic adjustment associated with dialysis type in chronic renal failure.

OBJECTIVE: Depression is the most widely studied complication in dialysis patients. In patients with chronic renal failure, changes in body image are considered to be associated with invasive treatment interventions. In addition, sexual problems are common in dialysis patients. In this study, hemodialysis and peritoneal dialysis patients are investigated for depression, anxiety, body image, sexual satisfaction, and dyadic adjustment. METHODS: Hemodialysis patients (n = 36), peritoneal dialysis patients (n = 54), and healthy controls (n = 30) were included in the study. All the subjects were assessed with Structured Clinical Interview for DSM-IV, Body Image Scale, Beck Depression Inventory, Beck Anxiety Scale, Golombok-Rust Inventory for Sexual Satisfaction, and Dyadic Adjustment Scale. RESULTS: Depression (20.64 +/- 15.20) and anxiety levels (14.72 +/- 12.36) were significantly higher in hemodialysis group compared to peritoneal dialysis (13.54 +/- 12.51; 12.74 +/- 11.21) and control groups (7.17 +/- 5.58; 9.86 +/- 9.19). In peritoneal dialysis group, as depression and anxiety levels increased, body image was disturbed and sexual satisfaction decreased. In peritoneal dialysis group, body image (86.98 +/- 23.63) was better than hemodialysis group (101.58 +/- 26.51) and was not different from the control group (83.67 +/- 22.11). In hemodialysis group, as depression and anxiety levels increased, body image was disturbed. In both groups, long-term dialysis disturbed body image. CONCLUSION: Patients should be informed about the impacts of dialysis. Clinicians may wish to monitor dialysis-users for anxiety, depression, dyadic adjustment, and body image difficulties at follow-up appointments. Interventions that target intimate partner interventions, appearance-related beliefs, and anxiety depression may be of benefit to this population.

Psychiatric comorbidity, quality of life and social support in epileptic patients.

BACKGROUND: Epilepsy is accompanied by many psychiatric disorders and continues to be a disease that disturbs the functioning and quality of life (QOL) of patients. AIMS: To assess the frequency of psychiatric disorders occurring in epileptic patients, determine depression and anxiety levels, and compare the results with healthy controls. The effect of epilepsy on QOL and the effects of social support on epilepsy were also assessed. METHODS: 50 epileptic patients and 50 controls were compared using the Structured Clinical Interview for DSM-IV (SCID-I), Beck Depression Inventory, Beck Anxiety Scale, Multi-dimensional Scale of Perceived Social Support (MSPSS) and the World Health Organization Quality of Life Assessment-Brief (WHOQOL-Brief). RESULTS: 44% of epileptic patients had psychiatric disorders, with depression being the most common diagnoses (28%). In terms of psychiatric comorbidity, there was a significant difference between the groups. The depression and anxiety scores of epileptic patients were significantly higher and there was no difference between the groups in terms of MSPSS scores. Psychological and physical subscale scores of WHOQOL-Brief were significantly lower in epileptic patients. In the epileptic group, a multi-variate analysis of covariance demonstrated that depression was a significant covariate for physical and psychological domains, anxiety was a significant covariate for psychological domain, social support was a significant covariate for social and environmental domains, and age of epilepsy onset was a significant covariate for physical domain of QOL. CONCLUSION: Epilepsy needs multi-dimensional analysis because of its chronic nature, frequently accompanying psychiatric disorders, its negative effects on QOL and the important role social support plays. The clinicians' handling of patients at an early stage can play an important role in preventing the negative results of epilepsy.

Joint hypermobility syndrome and mitral valve prolapse in panic disorder.

OBJECTIVE: The purpose of this study is to test the association between joint hypermobility syndrome (JHS) and panic disorder (PD) and to determine whether mitral valve prolapse (MVP) modifies or accounts in part for the association. METHOD: A total of 115 subjects are included in this study in three groups. Group I (n = 42): panic disorder patients with MVP. Group II (n = 35): panic disorder patients without mitral valve prolapse. Group III (n = 38): control subjects who had mitral valve prolapse without any psychiatric illness. Beighton criteria were used to assess joint hypermobility syndrome. Two-dimensional and M-mode echocardiography was performed on each subject to detect mitral valve prolapse. RESULTS: Joint hypermobility syndrome was found in 59.5% of panic disorder patients with mitral valve prolapse, in 42.9% of patients without mitral valve prolapse and in 52.6% of control subjects. Beighton scores was 4.93 +/- 2.97 in group I, 4.09 +/- 2.33 in group II, and 4.08 +/- 2.34 in group III. There was no significant difference between groups according to Beighton scores. CONCLUSION: We did not detect a statistically significant relationship between panic disorder and joint hypermobility syndrome. Mitral valve prolapse and joint hypermobility syndrome are known to be etiologically related and we suggest that mitral valve prolapse affects the prevalence of joint hypermobility syndrome in the panic disorder patients.