Effect of Tai Chi for post-stroke mental disorders and sleep disorders: A protocol for systematic review and meta-analysis

BACKGROUND

Post-stroke mental disorders (PSMDs) and post-stroke sleep disorders (PSSDs) are very common in stroke patients. Recently, Tai Chi (TC) as a form of Chinese traditional mind-body exercise has been gradually applied to stroke rehabilitation although its efficacy for PSMD and PSSD varies across different studies. The aim of this study is to explore the therapeutic effect of TC training for PSMD and PSSD.

METHODS

This review will only include randomized controlled trials (RCTs). Search strategy will be performed in 3 English databases, 4 Chinese databases, and the WHO International Clinical Trials Registry Platform. All English or Chinese RCTs, published from inception to February 28, 2019, will be sought. Two reviewers will screen, select studies, extract data, and assess quality independently. Primary outcomes are clinical scales, mainly including "Hamilton depression scale," "Hamilton anxiety scale," and "Pittsburgh sleep quality index." The methodological quality including the risk of bias of the included studies will be evaluated using a modified assessment form, which is based on Cochrane assessment tool and Physiotherapy Evidence Database scale. Review Manager Software (Revman5.3) will be used for heterogeneity assessment, generating funnel-plots, data synthesis, subgroup analysis, and sensitivity analysis. We will use GRADE system to evaluate the quality of our evidence.

RESULTS

We will provide some more practical and targeted results investigating the effect of TC exercise for PSMD and PSSD in the current meta-analysis. Meanwhile, we will ascertain study progress of TC for PSMD and PSSD and find out defects or inadequacies of previous studies, so that future researchers could get beneficial guidance for more rigorous study.

CONCLUSION

The stronger evidence about TC's rehabilitative effect and safety for PSMD and PSSD will be provided for clinicians and policymakers.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018106608.

ETHICS AND DISSEMINATION

We do not apply for formal ethical approval from ethics committee because all of the study data in our review will be obtained in an anonymous way. Findings of this study are projected to be disseminated through peer-review publications.

Post Soft Care: Italian implementation of a post-stroke checklist software for primary care and identification of unmet needs in community-dwelling patients

The needs of community-dwelling stroke patients are often not fully addressed. The Global Stroke Community Advisory Panel had developed the Post Stroke Checklist (PSC) with the aim of standardizing long-term stroke assessment and consequently care of patients. PSC has been validated for UK and Singapore, and an Italian version has been proposed. The aim of this study is to assess the needs of community-dwelling Italian stroke patients using an online version of PSC. Secondary aim is to assess utility of PSC for patients and clinicians. The PSC was administered to a sample of 64 patients with stroke in Italy by general practioners. PSC is a questionnaire formed by 11 questions, each one covering a domain identified as important for patients' health. After administration of PSC, patient and clinician satisfaction with the PSC was assessed by a specific questionnaire. The PSC identified specific problems for patients related to a worsening from the last examination not evaluated by any specialist. The online PSC highlighted problems related to mood, (in 50% of sample), mobility (53.1%), spasticity (42.2%), and pain (37.5%). Both patients and clinicians provided good results about the utility of online PSC. The PSC was confirmed to be a useful tool for identifying the needs of community-dwelling patients with stroke. Particular attention should be deserved to problems related to mood, mobility, and hence participation to social life, pain, and spasticity. For taking into account these aspects, the online PSC can be a useful portable tool for clinicians.

Temporal Associations between Fatigue, Depression, and Apathy after Stroke: Results of the Cognition and Affect after Stroke, a Prospective Evaluation of Risks Study

BACKGROUND

Poststroke fatigue (PSF) is a form of pathological fatigue that can develop after stroke and has a negative impact on functional outcome. PSF is associated with poststroke depression (PSD), which in turn shows similarities with poststroke apathy (PSA). This study aimed at disentangling the temporal associations between PSF and PSD and between PSF and PSA.

METHODS

A total of 250 stroke patients were included, of which 243 completed the Fatigue Severity Scale, Montgomery-Åsberg Depression Rating Scale, and Apathy Evaluation Scale at 3 months poststroke, with follow-up measurements at 6 and 12 months after initial testing. Linear mixed models and linear regressions were performed to evaluate the temporal associations between PSF and PSD, and between PSF and PSA.

RESULTS

PSF was present in 119 patients (49%), of whom 62 patients also had PSD (26%), and 21 patients (9%) also had PSA. At baseline, PSF patients showed higher depression levels, which remained stable at follow-up. PSD patients had higher fatigue levels compared with no-PSD patients at baseline, which remained stable at follow-up. No association between apathy and fatigue was found at baseline and no interaction with time was found. Change in fatigue from baseline to 12-month follow-up was associated with change in depression and with change in apathy.

CONCLUSIONS

Bidirectional associations were found between PSF and PSD. In treatment and rehabilitation programs, early focus on the presence of PSD and PSF is important, since these conditions tend to persist. As there are currently more treatment options for PSD, attention for PSD is important and might also have a beneficial effect on PSF.