Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression

Abstract

Purpose. Red blood cell distribution width (RDW) is increased in a variety of inflammatory-related diseases. However, there is no report of its clinical significance in poststroke depression (PSD). This study explores the clinical significance of RDW in PSD patients. Methods. A total of 185 patients with first-ever acute ischaemic stroke (AIS) in the Second Hospital of Anhui Medical University were chosen as subjects. A retrospective observational study was conducted from February 2019 to February 2020. PSD patients were diagnosed at 6 months after stroke based on the Diagnostic and Statistical Manual of Mental Disorders-IV criteria. Clinical and laboratory data were obtained from all patients. Coefficient of Variation (RDW-CV) and standard deviation (RDW-SD) were used to statistically report the performance of red blood cell distribution width. Results. At the 6-month follow-up, 46 patients were diagnosed with PSD. Compared with non-PSD patients, PSD patients exhibited an increase in RDW-CV and RDW-SD, which positively correlated with serum interleukin 6 (IL-6) concentrations. In PSD patients, only RDW-SD demonstrated a consistent positive association with the Hamilton Rating Scale for Depression (HAM-D) scores at 6 months after admission. RDW-CV, RDW-SD, and IL-6 were recognized as independent predictors of PSD. The area under the receiver operating characteristic (ROC) curve (AUC) of RDW-SD was 0.796 (95% CI: 0.731-0.852) for the prediction of PSD, which was superior to that of RDW-CV. The specificity for predicting PSD was 60.43%, and the sensitivity was 91.30% if RDW-SD was higher than 43.80 fL. Conclusions. RDW-SD is a simple, inexpensive, rapid, and easily accessible parameter that can be used to predict PSD in patients with stroke.

Determining Holistic Factors Related to Depressive Symptoms in Patients With Heart Failure

“…This result supports our findings. Dai et al (2021) also discovered that RDW-SD was positively correlated with the score for depressive symptoms, which may predict post-stroke depressive symptoms in stroke patients. This implies that RDW can be used as a biomarker of inflammation-related processes (Dai et al, 2021), and an inflammation index may be an important predictor of depressive symptoms.…”

“…Dai et al (2021) also discovered that RDW-SD was positively correlated with the score for depressive symptoms, which may predict post-stroke depressive symptoms in stroke patients. This implies that RDW can be used as a biomarker of inflammation-related processes (Dai et al, 2021), and an inflammation index may be an important predictor of depressive symptoms. In view of its simplicity, low cost, and accessibility, RDW might serve as a marker for the early identification of depressive symptoms in patients with HF.…”

“…In addition, using RDW alone or in combination with other indicators, such as N-terminal pro-brain natriuretic peptide or left ventricular ejection fraction, can provide better predictions (Su et al, 2016). Hence, as a clinical inflammatory marker, RDW has been widely used to evaluate the severity and prognosis of numerous diseases given its rapid and economical features (Dai et al, 2021). However, the relationship between RDW and depressive symptoms is unclear in patients with HF.…”

Research on the MEG of Depression Patients Based on Multivariate Transfer Entropy

“…Depression has become the second largest disease burden after ischemic heart disease. In the suicide population, 40% of people die because of depression without timely and systematic treatment [ 5 – 7 ]. Therefore, how to distinguish whether patients suffer from depression is particularly important.…”

“…Depression has become the second largest disease burden after ischemic heart disease. In the suicide population, 40% of people die because of depression without timely and systematic treatment [5][6][7].…”