ABSTRACT
Background: Depressive disorder is common among haemodialysis patients. The purpose of this study was to explore approaches to diagnosing depression in the context of a real-life setting, with the view of creating practical recommendations. It also aimed to evaluate the prevalence of depression and dementia. Methods: We conducted a cross-sectional study in two Dialysis Centres in Poland. Cognitive functions were evaluated using Mini-Mental State Examination (MMSE). The screening for depressive symptoms was assessed using Beck Depression Inventory II (BDI-II). The diagnosis of major depressive disorder was confirmed by a psychiatrist using Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). Sociodemographic and clinical data were also collected. Results: Initially, 136 patients agreed to participate in the study. Dementia was found in 13% of the study group. Sixty-two patients did not agree to perform all the proposed tests and were not included in the analysis, which eventually consisted of 70 patients. According to BDI-II, depressive symptoms were present in 35.7% of patients, while the diagnosis of major depressive disorder (MDD) was confirmed by the psychiatrist in 25.7%. According to the ROC analysis the optimal cut-off score for diagnosing MDD using BDI-II was ≥13 points. Conclusions: This study suggests that the regular screening for depressive symptoms, followed by a psychiatric consultation in selected patients, might improve diagnosing depression with the goal of achieving a higher quality of life and a lower mortality rate. It may also be a cost-effective model for the management of depression among the haemodialysis population.
ABSTRACT
Due to constantly growing population of immunocompromised patients the fungi became a widespread threat to modern medicine. HIV carriers, solid organ transplant recipients constitute most of those patients. Cryptococcosis is a frequent cause of life-threatening infections, affecting mostly immunosuppressed patients. This article presents current knowledge on cryptococcal infections, including epidemiology, clinical aspects, diagnosis and recommended treatment. In reference to our patient, who developed a disseminated and fulminant subtype of the disease, we wanted to underline the need to examine patients thoroughly. The highest aim of those measures would be to avoid lethal consequences.
ABSTRACT
BACKGROUND: The risk of cardiovascular (CV) complications is much greater in patients with chronic kidney disease (CKD). The aim of this study was to assess predictors of mortality, renal failure progression, and the need for dialysis in patients with CKD. METHODS: The study group consisted of 70 patients with stage 3-5 CKD, followed up on average for 33.4 ± 15.6 months. Laboratory tests and echocardiography were performed on all patients. Composite endpoints were defined as (1) all-cause mortality and (2) mortality or renal replacement therapy (RRT), defined as the initiation of dialysis therapy. RESULTS: During the observation period, 13 patients died and 11 began dialysis therapy. NT-proBNP was found to be a significant predictor in receiver operating characteristic curve analysis for all study endpoints. The optimal cutoff value for NT-proBNP as a predictor of mortality was 569.8 pg/mL, with a sensitivity of 53.8% and a specificity of 89.1%. For mortality or RRT, the cutoff value for NT-proBNP was 384.9 pg/mL, with a sensitivity and specificity of 70.8 and 72.7%, respectively. In a multivariate regression analysis, NT-proBNP was an independent predictor of mortality with an OR = 7.5 (95% CI: 1.05-53.87; p = 0.044) and of mortality or RRT with an OR = 4.7 (95% CI: 1.01-22.66; p = 0.048). CONCLUSIONS: NT-proBNP is an independent predictor of mortality in patients with CKD and can also be useful for CV risk stratification in this patient population.