Repetitive transcranial magnetic stimulation (rTMS) acts as a kind of widely-applied and non-invasive method in the intervention of some neurological disorders. This prospective, randomized, double-blind, placebo-controlled trial investigates the effect of rTMS on 30 cases of Alzheimer’s disease (AD) participants, who were classified into mild and moderate groups. Neuropsychological tests were carried out using the AD Assessment Scale-cognitive subscale (ADAS-cog), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and World Health Organization University of California-Los Angeles, Auditory Verbal Learning Test (WHO-UCLA AVLT) before, immediately after, and 6 weeks after the intervention. In this work, data from 30 AD patients revealed that there was no obvious interaction effect of time-by-group. The ADAS-cog, MMSE and WHO-UCLA AVLT score in the rTMS group was significantly improved compared with baselines at 6 weeks after treatment (all p<0.05). Meanwhile, MoCA scores were also obviously ameliorated in the mild AD patients with rTMS. Besides, subgroup analysis showed that the effect of rTMS on the memory and language of mild AD patients was superior to those of moderate AD patients. In conclusion, our findings suggested that repetitive transcranial magnetic stimulation improves cognitive function, memory and language level of AD patients, especially in the mild stage of AD. Thus, rTMS can be recommended as a promising adjuvant therapy combined with cholinesterase inhibitors at the mild stage of AD patients.

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Acute stroke and transient ischemic attack (TIA) is a great burden not only during hospitalization but also after hospital discharge. The objective of this meta-analysis was to evaluate the hospital readmissions, causes and risk factors after survival of acute stroke and TIA. Pubmed, Web of Science, Cochrane Library, OVID and EMBASE databases were searched to identify studies reporting hospital readmissions after acute stroke and TIA. The primary outcomes were hospital readmission rates during 30 days and 1 year after discharge. The primary causes and risk factors of hospital readmissions were also identified. Ten studies with 253,680 patients were eligible for inclusion. The pooled 30-day and 1-year hospital readmission rates were 17.4 % (95 % CI, 12.7-23.5 %) and 42.5 % (95 % CI, 34.1-51.3 %), respectively. The three major causes of 30-day hospital readmissions were infection (19.9 %), coronary artery disease (CAD) (17.8 %) and recurrent stroke (16.0 %) successively, while the three major causes were recurrent stroke (19.4 %), infection (19.3 %) and CAD (16.3 %) during 1 year's follow-up. There were more patients with CAD in readmits group than that in control group (p = 0.030). The length of index admission, defined as any eligible admission to an acute care hospital assessed in the measure for the outcome, was longer (p = 0.000) and admission National Institutes of Health Stroke Score (NIHSS) was higher (p = 0.002) in readmits group than these in control group. In conclusion, there is high risk of early and long-term hospital readmissions after survival of acute stroke and TIA. These patients with coronary artery disease, longer length of index admission and higher NIHSS deserve deep attention after hospital discharge.

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House prices in many advanced economies have risen substantially in recent decades. But experience indicates that housing prices can diverge from their long-run equilibrium or sustainable levels, potentially followed by adjustments that impact macroeconomic and financial stability. Therefore there is a need to monitor house prices and assess whether they are sustainable. This paper focuses on fundamentals expected to drive long-run trends in house prices, including institutional and structural factors. The scale of potential valuation gaps is gauged on the basis of a crosscountry panel analysis of house prices in 20 OECD countries.

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Countries in Central, Eastern, and Southeastern Europe (CESEE) experienced a credit boombust cycle in the last decade. This paper analyzes the roles of demand and supply factors in explaining this credit cycle. Our analysis first focuses on a large sample of bank-level data on credit growth for the entire CESEE region. We complement this analysis by five case studies (Latvia, Lithuania, Montenegro, Poland, and Romania). Our results of the panel data analysis indicate that supply factors, on average and relative to demand factors, gained in importance in explaining credit growth in the post-crisis period. In the case studies, we find a similar result for Lithuania and Montenegro, but the other three case studies point to the fact that country experiences were heterogeneous.