Early Symptom Measurement of Post-Stroke Depression: Development and validation of a new short version

Fear of disease progression and resilience parallelly mediated the effect of post-stroke fatigue on post-stroke depression: A cross-sectional study

AIMS

To explore the effect of post-stroke fatigue (PSF) on post-stroke depression (PSD) and examine the mediating effects of fear of disease progression (FOP) and resilience between PSF and PSD.

DESIGN

A cross-sectional study.

METHODS

A total of 315 stroke patients participated in the questionnaire survey between November 2022 and June 2023. Data were collected using the General Information Questionnaire, Fatigue Severity Scale, Fear of Disease Progression Questionnaire-Short Form, Connor-Davidson Resilience Scale-10 Item and Hospital Anxiety and Depression Scale-Depression Subscale. Data were analysed by descriptive analysis, Mann-Whitney U-test, Kruskal-Wallis H-test, Pearson or Spearman correlation, hierarchical regression analysis and mediation analysis.

RESULTS

PSF had a significant positive total effect on PSD (β = .354, 95% CI: .251, .454). Additionally, FOP and resilience played a partial parallel-mediating role in the relationship between PSF and PSD (β = .202, 95% CI: .140, .265), and the total indirect effect accounted for 57.06% of the total effect.

CONCLUSIONS

FOP and resilience parallelly mediated the effect of PSF on PSD, which may provide a novel perspective for healthcare professionals in preventing PSD. Targeted interventions aiming at reducing PSF, lowering FOP levels and enhancing resilience may be possible ways to alleviate PSD.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

Interventions that tail to reducing PSF, lowering FOP levels and enhancing resilience may be considered as possible ways to alleviate PSD.

IMPACT

This study enriched the literature by exploring the effect of PSF on PSD and further examining the mediating effects of FOP and resilience between PSF and PSD. Findings emphasized the important effects of PSF, FOP and resilience on PSD.

REPORTING METHOD

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was used to guide reporting.

PATIENT OR PUBLIC CONTRIBUTION

One tertiary hospital assisted participants recruitment.

Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage

BACKGROUND

The incidence of Post Stroke Depression (PSD) in the Rehabilitation Stage is high, which can bring serious physical and psychological disorders to patients. However, there is still a lack of targeted tools for screening PSD in the rehabilitation stage. Therefore, the aim of this study was to evaluate the factor structure and reliability of a measurement instrument to screen for PSD in the rehabilitation stage.

METHODS

A cross-sectional study was conducted on 780 hospitalized stroke patients who were within the rehabilitation stage from May to August 2020. Exploratory factor analysis (EFA) as well as first- and second-order confirmatory factor analysis (CFA) were performed to evaluate the factor structure of the newly developed Symptom Measurement of Post-Stroke Depression in the Rehabilitation Stage (SMPSD-RS). The reliability and validity of the SMPSD-RS were also verified using several statistical methods.

RESULTS

EFA extracted a 24-item, five-factor (cognition, sleep, behavior, emotion, and obsession) model that can clinically explain the symptoms of PSD during the rehabilitation stage. A first-order CFA confirmed the EFA model with good model fit indices, and the second-order CFA further confirmed the five-factor structure model and showed acceptable model fit indices. Acceptable reliability and validity were also achieved by the corresponding indicators.

CONCLUSION

The SMPSD-RS was proven to have a stable factor structure and was confirmed to be reliable and valid for assessing PSD symptoms in stroke patients during the rehabilitation stage.

Post-Stroke Depression in Older Adults: An Overview

Detailed data on post-stroke depression (PSD) in older adults are limited in spite of the high vulnerability of this population to stroke. In fact, PSD prevalence in older adults ranges from 16.0 to 43.9%; however, timing and instruments of evaluation often differ significantly across all available studies. The etiology, genetic and inflammatory factors, as well as structural brain alterations, are claimed as part of a multifaceted mechanism of action in PSD onset. Thus, the aim of this narrative review was to further elaborate on the prevalence, etiology, diagnosis, consequences and treatment of PSD in older adults. The consequences of PSD in older adults may be devastating, including a poor functional outcome after rehabilitation and lower medication adherence. In addition, lower quality of life and reduced social participation, higher risk of new stroke, rehospitalization, and mortality have been reported. In this scenario, treating PSD represents a crucial step to prevent these complications. Both pharmacological and non-pharmacological therapies are currently available. The pharmacological treatment utilizes antidepressant drugs, such as selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), monoamine oxidase inhibitors (MAOIs), tricyclic antidepressants (TAs) and new multimodal antidepressants (NMAs). Non-pharmacological therapies include psychological interventions and non-invasive brain stimulation techniques, while excluding drug administration. In the general population experiencing PSD, SSRIs (sertraline in particular) are the most prescribed, whereas the combination of antidepressants and psychotherapy is underused. Furthermore, about one-third of patients do not receive treatment for PSD. In regard to older adults with PSD, the possibility of more adverse effects or contraindications to antidepressant prescription due to comorbidities may limit the therapeutic window. Although drugs such as citalopram, escitalopram, sertraline, venlafaxine, and vortioxetine are usually well tolerated by older patients with PSD, the few randomized controlled trials (RCTs) specifically considering older adults with PSD have been conducted with fluoxetine, fluvoxamine, reboxetine, citalopram and nortriptyline, often with very small patient samples. Furthermore, data regarding the results of non-pharmacological therapies are scarce. High-quality RCTs recruiting large samples of older adults are needed in order to better manage PSD in this population. In addition, adequate screening and diagnosis instruments, with reliable timing of evaluation, should be applied.

Resourcefulness as a mediator in the relationship between self-perceived burden and depression among the young and middle-aged stroke patients: A cross-sectional study

Objective

To explore the relationships among self-perceived burden, resourcefulness and depression, and to study further whether resourcefulness mediates the effects of self-perceived burden on depression in young and middle-aged stroke patients.

Methods

A cross-sectional survey was conducted with 1050 young and middle-aged stroke patients. We used a general demographic questionnaire, Self-Perceived Burden Scale (SPBS), Resourcefulness Scale© (RS) and Hamilton Depression Scale (HAMD) to assess self-perceived burden, resourcefulness, and depression. Statistical methods included correlation analysis, multiple linear regression, and structural equation model.

Results

1018 valid questionnaires were collected with a response rate of 96.95%. Resourcefulness was inversely correlated with self-perceived burden (r = -0.367, p < 0.01) and depression (r = -0.625, p < 0.01); Self-perceived burden was positively associated with depression (r = 0.698, p < 0.01). Multiple linear regression analyses showed that resourcefulness mediated the effects of self-perceived burden on depression; The structural equation model demonstrated that the resourcefulness mediated the relationship between self-perceived burden and depression.

Conclusion

Resourcefulness is a mediator between self-perceived burden and depression. Medical staff adjust the psychological state of stroke patients based on the theory of resourcefulness, thereby improving their problem-solving ability, actively encouraging patients to establish problem-solving strategies, providing disease rehabilitation knowledge and skills, and promoting the improvement of resourcefulness level.

Psychometric properties of the post-stroke depression scale in the sequelae stage

Aim

To evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS).

Background

The incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified.

Method

This was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach’s α coefficient, test–retest reliability and composite reliability. The validity of the scale was tested by criterion-related validity, convergent and discriminant validity.

Result

Eight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable.

Conclusion

The PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage.

What should nurses do on post-stroke depression? A global systematic assessment of clinical practice guidelines

OBJECTIVES

Post-stroke depression (PSD) is the most common mental disorder in post-stroke patients. Yet, the recommendations related to nursing in clinical practice guidelines (CPGs) have not been systematically sorted out. This study aimed to assess the methodological quality of current CPGs related to PSD and develop an algorithm using nursing process as a framework for nurses.

DESIGN

A systematic assessment of CPGs.

INTERVENTIONS

A systematic search for relevant CPGs published between 2017 and 2022 was conducted. Appraisal of Guidelines for Research and Evaluation Ⅱ instrument was used to assess methodological quality. Recommendations related to nursing practice from high-quality CPGs were summarised and developed into an algorithm to provide reference for the standardised construction of nursing practice scheme.

RESULTS

497 records were initially identified from database searches and other sources. Finally, 12 CPGs were included, of which 6 were rated as high quality. A total of 35 recommendations from the 6 highest-scoring CPGs were summarised and used to develop an algorithm.

CONCLUSIONS

This study indicated deficiencies and variability in current available CPGs. Based on six high-quality CPGs, we developed an algorithm to facilitate nurses' adherence to CPGs and contribute to evidence-based nursing. In the future, more nursing specialists should participate in the formulation of the CPGs to provide nursing insights.

Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study

Background

Due to the lack of health education adherence assessment tools for stroke patients, the assessment of health education adherence in this population is insufficient, which hinders the prevention and rehabilitation of stroke. This study aims to develop and validate a Health Education Adherence Scale for Stroke Patients (HEAS-SP).

Methods

A cross-sectional design with a purposive sampling method was used for this study. Six hundred and fifty-four eligible participants completed the demographic questionnaire and the HEAS-SP. The data collection lasted for 7 months, from March 1stto September 30th in 2019. Item analysis and exploratory and confirmatory factor analysis were employed to develop and validate the HEAS-SP.

Results

The item analysis, exploratory and confirmatory factor analysis resulted in a 20-item HEAS-SP with 4 domains: medication adherence, diet adherence, rehabilitation exercise adherence, and healthy lifestyle adherence. The four-domain model demonstrated acceptable model fit indexes and the 20-item HEAS-SP demonstrated acceptable reliability and validity.

Conclusion

The 20-item HEAS-SP was shown to have acceptable reliability and validity for assessing health education adherence with respect to diet, medication, rehabilitation exercise and healthy lifestyle in stroke patients, making it a potential basis for developing targeted interventions for stroke patients.

Risk factors and ambulatory outcome in ischemic stroke patients with pre-stroke depression

OBJECTIVE

It is well known that post-stroke depression might be a negative factor for stroke recovery, however there is limited evidence to establish the link between pre-stroke depression and stroke outcome such motor recovery. The objective is to determine clinical risk factors in ischemic stroke patients with pre-stroke depression that are associated functional ambulatory outcome.

METHODS

Data from acute ischemic patients from a regional stroke registry were collected for consecutive recombinant tissue plasminogen activator(rtPA)-treated acute ischemic stroke patients between January 2010 and June 2016. Logistic regression model was used to predict risk factors that served as predictive variables, while the increase or reduce odds of improvement in ambulatory outcome was considered as the primary outcome. Multicollinearity and possible interactions among the independent variables were analyzed using the variance inflation factor.

RESULTS

A total of 1446 patients were eligible for recombinant tissue plasminogen activator (rtPA) and 596 of these patients received rtPA. Of the 596 ischemic stroke patients, 286 patients presented with recent pre-stroke depression, 310 had no pre-stroke depression. Carotid artery stenosis (OR = 11.577, 95% CI, 1.281-104.636, P = 0.029) and peripheral vascular disease (OR = 18.040, 95% CI, 2.956-110.086, P = 0.002) were more likely to be associated with increase odds of improvement in ambulation in patients with no pre-stroke depression treated with rtPA, while antihypertensive medications (OR = 0.192, 95% CI, 0.035-1.067, P = 0.050),previous TIA (OR = 0.177, 95% CI, 0.038-0.818, P = 0.027), and congestive heart failure (OR = 0. 0.160, 95% CI, 0.030-0.846, P = 0.031) were associated with reduced odds of improvement in ambulation. In addition, carotid artery stenosis (OR = 0.078, 95% CI, 0.10-0.614, P = 0.015, congestive heart failure (OR = 0.217, 95% CI, 0.318-0.402, P = 0.030), previous TIA (OR = 0.444, 95% CI, 0.517-0.971, P = 0.012), higher NIHSS scores ((OR = 0.887, 95% CI, 0.830-0.948, P < 0.001), and antihypertensive medications (OR = 0.810, 95% CI, 0.401-0.529, P = 0.019) were associated with the reduced odd of improvement in ambulation in an ischemic stroke population with pre-stroke depression treated with rtPA.

CONCLUSION

Our findings indicate that more risk factors were associated with the decreased odds of an improvement in ambulation following thrombolytic therapy in an ischemic stroke population with pre-stroke depression when compared with those without pre-stroke depression. This finding maybe helpful in the development of management strategies to increase the use of thrombolytic therapy for pre-stroke depressed ischemic stroke to increased their eligibility for rtPA.