[Clinical course of post-stroke depression in Kinshasa]

Stroke signs knowledge and factors associated with a delayed hospital arrival of patients with acute stroke in Kinshasa

Background

Rapid recognition and early medical intervention are essential to reduce stroke-related mortality and long-term disability. This study aimed to evaluate awareness of stroke symptoms/signs and determine factors delaying the hospital arrival of patients with acute stroke in Kinshasa.

Methods

Patients with stroke and/or accompanying family members were interviewed using a standard questionnaire, and their medical records were reviewed. Factors independently associated with a late arrival (≥4.5 h) to the hospital were identified using the logistic regression test in forward multivariate analysis.

Results

Overall, 202 patients with an average age of 57.9 ± 13.1 years were included. Only 27 (13.4%) patients immediately associated the initial symptoms with a stroke episode. Delayed hospital arrival was observed in 180 (89.1%) patients. Unmarried status (adjusted odds ratio [aOR], 2.29; 95% confidence interval [CI], 1.17-4.88; p = 0.007), low education level (aOR, 2.29; 95% CI, (1.12-5.10; p = 0,014), absence of impaired consciousness (aOR, 3.12; 95% CI, 1.52-4.43; p = 0.005), absence of a history of hypertention (aOR, 1.85; 95% CI, 1.18-3.78; p = 0.041), absence of a history of diabetes (aOR, 1.93; 95% CI, 1.15-4.58; p = 0.013), heavy alcohol consumption (aOR, 1.83; 95% CI, 1.12-2.83; p = 0.045), absence of a severe to very severe stroke (aOR, 4.93; 95% CI, 0.82-1.01; p = 0.002), and presence of ischemic stroke (aOR, 2.93; 95% CI, 1.54-4.59; p = 0.001) were identified as independent determinants of delayed hospital arrival.

Conclusions

This study depicted a low stroke awareness rate and a much longer prehospital delay than evidence-based guidelines recommend and identified eight factors that public health actions could target to promote the earliest management of stroke.

The prevalence of apathy in stroke patients: A systematic review and meta-analysis

BACKGROUND

Apathy is a frequent neuropsychiatric disorder in stroke patients. However, its prevalence rates have conflicting results across studies. This meta-analysis aimed to estimate the overall prevalence of apathy in stroke patients from 1990 to 2022.

METHODS

PubMed, Web of Science, Embase and PsycINFO were systematically searched to identify relevant articles published from January 1, 1990 to October 29, 2022. Literature quality was assessed with the National Institutes of Health Study Quality Assessment Tool. The pooled prevalence, subgroup analyses and meta-regression were calculated by STATA 16.0.

RESULTS

A total of 39 observational studies involving 5168 stroke patients were eligible for this meta-analysis. The pooled prevalence of apathy in stroke patients was 33.0% (95% CI, 27.6-38.4). Subgroup analyses showed that the pooled prevalence of apathy among stroke patients was higher in Japan (36.6%), China (33.7%) and Turkey (63.5%) compared to that in other countries (30.2%). The pooled prevalence of apathy was higher in ischemic stroke samples (36.1%) than in hemorrhagic stroke samples (14.4%). The pooled prevalence of apathy measured with the Apathy Evaluation Scale (38.3%) was the highest in stroke patients. Meta-regression presented that higher literature quality was significantly associated with lower prevalence, while stroke severity, mean age and female percentage were not significantly associated with the prevalence of apathy in stroke patients.

CONCLUSION

Our findings revealed that the overall prevalence of apathy in stroke patients was 33.0% based on the current evidence. Furthermore, the prevalence was significantly correlated with countries, stroke subtypes, apathy criteria, and literature quality.

The dynamics of Poststroke depression among Ghanaians

OBJECTIVE

The very few published data on post-stroke depression (PSD) among indigenous Africans have covered its prevalence and predictors. We sought to evaluate the dynamics of PSD in a cohort of Ghanaian stroke survivors followed for 9 months after an acute stroke.

METHODS

Stroke survivors in this prospective cohort were adults aged >18 years with CT scan confirmed stroke, recruited into a randomized controlled trial to assess the feasibility of an mHealth technology-enabled, nurse guided intervention for blood pressure control. PSD was assessed a secondary outcome measure using the Hamilton Depression Rating Scale (HDRS) at enrollment, months 3, 6, and 9. Those with a score of >7 points on HDRS were categorized as depressed. A multivariate logistic regression analysis was performed to identify independent predictors of PSF.

RESULTS

Mean age of study participants was 55.1 ± 12.7 years with 65% being males. Ischemic strokes comprised 76.6% of study population. Prevalence of PSD at baseline was 78.6%, 43.6% at month 3, 41.1% at month 6 and 18.2% at month 9 (p < .0001). Factors significantly associated with PSD at baseline were higher NIH Stoke Scale score (adjusted OR 1.51, 95% CI: 1.03-2.23) and pain (adjusted OR 7.18, 95% CI: 1.52-33.89). NIHSS score (adjusted OR, 1.99, 95% CI: 1.12-3.52) as associated with PSD at month 9.

CONCLUSION

80% Ghanaian stroke survivors have early PSD declining to 20% at month 9. Stroke severity is the persistent factor associated with PSD at baseline and follow-up, and good be a target for screening and promptly treating PSD.

Depression after Stroke in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

Objective

We aimed to conduct a systematic review and meta-analysis of prevalence and characteristics of poststroke depression (PSD) in sub-Saharan Africa (SSA).

Methods

We searched Medline, PsycINFO, and African Journals OnLine using keywords for stroke and depression and the .mp. operator for all 54 SSA countries/regions. Further information was retrieved through a manual search of references from relevant published and unpublished articles. We included only peer-reviewed original studies with epidemiological or experimental designs, conducted random-effect meta-analysis, and identified the most commonly associated factors by weight (inverse of variance method).

Results

Seventeen studies, comprising 1483 stroke survivors, met the criteria for syntheses. The pooled frequency of clinically diagnosed PSD was 31% (95% CI = 26%–36%), versus 13.9% in healthy control pairs. Prevalence did not vary much across healthcare settings but was affected by methods of depression ascertainment. PSD was significantly associated with low education, cognitive impairment, physical disability, poor quality of life, and divorced marital status.

Conclusion

Almost 1 in 3 individuals with stroke in SSA has clinical depression. Despite limitations around quality of identified studies, results of the present systematic review overlap with findings in the global literature and highlight useful targets for the design and trial of tailored intervention for PSD in SSA.

Post-stroke depression in Ghana: Characteristics and correlates

BACKGROUND

Poststroke depression (PSD) is prevalent and is an important determinant of functional recovery, quality of life and mortality after stroke. Scanty data on the nature of PSD among stroke survivors in sub-Saharan Africa prompted this study.

OBJECTIVE

To assess the prevalence and predictors of depression in a convenience sample of Ghanaian stroke survivors.

METHODS

We evaluated consecutive stroke survivors encountered at a comprehensive neurology clinic in a tertiary medical center in Ghana. The Center for Epidemiologic Studies Depression Scale (CES-D) and Geriatric Depression Scale (GDS) were both used to screen for depressive symptoms and subjects were considered as depressed if they scored ≥16 on the CES-D scale and >5 on the GDS. Demographic and clinical data on stroke type and severity as well as health-related quality of life indicators were collected. Predictors of stroke-related depression were assessed using a logistic regression model.

RESULTS

Of 200 stroke survivors, mean±SD age was 62.0±14.4years, and 105 (52.5%) patients were men. Among the cohort 78.5% were classified as being depressed by CES-D, 42.5% by GDS, and 36.5% on both CES-D and GDS. In multivariable analyses, for each unit increase on the Modified Rankin scale (i.e. worsening disability), there were higher odds of depression (adjusted OR 1.85; 1.28-2.69, p=0.001), and being divorced (vs. being married) was linked to depression (adjusted 2.82; 1.18-6.71, p=0.02). Stroke survivors with depression demonstrated profound diminutions in the physical, psycho-social, cognitive and eco-social domains of quality of life compared with those without depression (p<0.05).

CONCLUSION

Almost 4 out of 10 stroke survivors in this Ghanaian cohort displayed clinically significant depression. Prospective interventional studies are urgently needed to provide solid evidence-based and culturally tailored interventions to address post-stroke depression particularly in LMICs.