Frontiers in Psychiatry (Jul 2024)

Screening for depression in chronic haemodialysis patients as a part of care in dialysis setting: a cross-sectional study

  • Alicja Kubanek,
  • Marcin Renke,
  • Beata R. Godlewska,
  • Przemysław Paul,
  • Mateusz Przybylak,
  • Anna S. Kowalska,
  • Piotr Wąż,
  • Michał Błaszczyk,
  • Aleksandra Macul-Sanewska,
  • Przemysław Rutkowski,
  • Kamila Czarnacka,
  • Krzysztof Bednarski,
  • Jakub Grabowski

DOI
https://doi.org/10.3389/fpsyt.2024.1410252
Journal volume & issue
Vol. 15

Abstract

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BackgroundDepressive 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.MethodsWe 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.ResultsInitially, 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.ConclusionsThis 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.

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