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Background: The aim of this cross-sectional study was to investigate the prevalence of sleep disturbance and its possible associated factors among Iranian medical students. Additionally, a national meta-analysis was conducted to provide a comprehensive overview of sleep disturbance in this population. Methods: A sample of medical students from Guilan University of Medical Sciences, Iran was included in the study. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbance. Demographic and lifestyle factors, as well as academic performance, were collected through a self-administered questionnaire. The data collected from this study were combined with existing studies through a meta-analysis to estimate the overall prevalence of sleep disturbance among Iranian medical students using the random effects model. Results: A total of 249 medical students participated in the study. The prevalence of sleep disturbance among Guilan University of Medical Sciences medical students was found to be 71.1%. A significant difference was observed in total PSQI means regarding medical students' residency (p < 0.001) and their duration of sleep in the last 24 h (p = 0.006). The national prevalence of sleep disturbances was 59% (95% CI: [51%-66%], I2 = 97%). Conclusion: Sleep disturbance is highly prevalent among Iranian medical students, with various factors contributing to its occurrence. The findings of this study highlight the need for interventions and strategies to improve sleep quality and overall well-being among this population. The national meta-analysis provides valuable insights into the overall burden of sleep disturbance among Iranian medical students and can serve as a reference for future studies and public health initiatives targeting this issue.
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BACKGROUND: Limited studies have examined psychometric properties of dementia screening tools in university-educated older adults. We aimed to examine this population's diagnostic accuracy of the Iranian version of Mini-Addenbrooke's Cognitive Examination (M-ACE). MATERIALS & METHODS: Eighty-seven participants with over 60 years with university education were divided into three groups: Major neurocognitive disorder, mild neurocognitive disorder, and healthy control. The Iranian version of M-ACE, the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale (GDS), the Activities of Daily Living-Instrumental Activities of Daily Living (ADL-IADL) scale and Diagnostic and Statistical Manual of Mental Disorders 5th edition-Text Revision (DSM-5) were used. RESULTS: A high internal reliability of questionnaire was confirmed by Cronbach's alpha coefficient. One-way ANOVA and post hoc analysis confirmed a significant difference between study groups. The scores of M-ACE were found to have a high positive correlation with MMSE, IADL, ADL, and a moderate correlation with GDS. The optimal cutoff score of M-ACE to screen for mild and major neurocognitive disorders were 27.5 and 20.5, respectively. CONCLUSION: The M-ACE was a concise and reliable tool used to identify neurocognitive disorders in highly educated older adults, but they should be evaluated at a higher traditional cut score in earlier stages.
RESUMEN
Pulmonary embolism (PE) is the most severe clinical presentation of venous thromboembolism (VTE), which can be challenging to diagnose due to its non-specific symptoms. The overlapping clinical symptoms of Coronavirus disease 2019 (COVID-19) and PE may make distinguishing between the two difficult. Thus, the diagnosis of PE may be delayed or missed, with grave consequences for the patient's outcome and safety. We herein present the case of a 63-year-old Iranian female admitted to our hospital showing symptoms of delirium superimposed on dementia. Soon after her admission, she developed a fever and respiratory symptoms. However, overestimating the likelihood of COVID-19 pneumonia and attributing the patient's symptoms to this disease led to a delayed diagnosis and treatment of pulmonary embolism, resulting in the patient's death. During the COVID-19 pandemic, a high index of suspicion is required for the timely diagnosis of PE, especially in patients with identifiable risk factors. This is specifically true for older patients who cannot express their symptoms due to neurocognitive disorders.
