Association between myasthenia gravis and Alzheimer's disease

INTRODUCTION

Myasthenia gravis (MG) and Alzheimer's disease (AD) are two of the most important diseases where the dysregulation of acetylcholine activity plays a crucial role. In the first, this dysregulation happens at the level of the neu-romuscular junction and in the second, in the central nervous system (CNS).

AIM

To analyze the possible relationship between these two pathologies, analyzing the prevalence and the odds ratio of AD within patients previously diagnosed with MG. We will compare these data with respect to the prevalence of AD in the general population.

PATIENTS AND METHODS

We examined the data obtained by the electronic medical records of patients in the health care system of Castilla La Mancha using the Natural Language Process provided by a clinical platform of artificial intelligence known as the Savana Manager?.

RESULTS

We identified 970,503 patients over the age of 60 years, of which 1,028 were diagnosed with MG. The proportion of the patients diagnosed with AD within this group (4.28%) was greater than the rest of the population (2.82%) (p = 0,0047) with an odds ratio of 1.54 (confidence interval at 95% 1.13-2.08; p = 0.0051) without finding significant differences in the bivariate analysis for the rest of the most important actual known risk factors for AD.

CONCLUSION

Our results suggest that there might be an increase in the prevalence of AD in patients previously diagnosed with MG.

Effectiveness and safety of safinamide in the Toledo Movement Disorders Unit

INTRODUCTION

The management of motor fluctuations in Parkinson's disease (PD) can be challenging, and current therapeutic options include the use of monoamine oxidase B inhibitors (MAO-B inhibitors), among others. The aim of this study was to evaluate the effectiveness and safety of safinamide in the clinical practice carried out in the Toledo Movement Disorders Unit.

PATIENTS AND METHODS

This is a retrospective study in which data were collected at baseline and at six months from PD patients who were started on safinamide as an add-on therapy with a stable dose of levodopa in line with standard clinical practice. An analysis was performed by subgroups: patients who were given low-dose safinamide and patients who previously received rasagiline.

RESULTS

Ninety patients (47 previously received rasagiline) completed the six-month follow-up. A statistically significant decrease in morning akinesia, nocturnal akinesia, wearing off, unpredictable off phenomenon and Unified Parkinson's Disease Rating Scale-III was observed both in those who previously received rasagiline and in those treated with low doses of safinamide. No variation was found in the dyskinesias. The adverse events described were mild, with generalised weakness, dizziness, nausea, headache and alopecia.

CONCLUSIONS

Safinamide has been shown to be effective and safe in improving motor fluctuations, motor symptoms and the subjective perception of disease severity in PD patients previously receiving rasagiline and in those receiving low-dose safinamide, all of which is accompanied by a good safety profile.

Prognostic indicators and outcomes of hospitalised COVID-19 patients with neurological disease: An individual patient data meta-analysis

Background

Neurological COVID-19 disease has been reported widely, but published studies often lack information on neurological outcomes and prognostic risk factors. We aimed to describe the spectrum of neurological disease in hospitalised COVID-19 patients; characterise clinical outcomes; and investigate factors associated with a poor outcome.

Methods

We conducted an individual patient data (IPD) meta-analysis of hospitalised patients with neurological COVID-19 disease, using standard case definitions. We invited authors of studies from the first pandemic wave, plus clinicians in the Global COVID-Neuro Network with unpublished data, to contribute. We analysed features associated with poor outcome (moderate to severe disability or death, 3 to 6 on the modified Rankin Scale) using multivariable models.

Results

We included 83 studies (31 unpublished) providing IPD for 1979 patients with COVID-19 and acute new-onset neurological disease. Encephalopathy (978 [49%] patients) and cerebrovascular events (506 [26%]) were the most common diagnoses. Respiratory and systemic symptoms preceded neurological features in 93% of patients; one third developed neurological disease after hospital admission. A poor outcome was more common in patients with cerebrovascular events (76% [95% CI 67–82]), than encephalopathy (54% [42–65]). Intensive care use was high (38% [35–41]) overall, and also greater in the cerebrovascular patients. In the cerebrovascular, but not encephalopathic patients, risk factors for poor outcome included breathlessness on admission and elevated D-dimer. Overall, 30-day mortality was 30% [27–32]. The hazard of death was comparatively lower for patients in the WHO European region.

Interpretation

Neurological COVID-19 disease poses a considerable burden in terms of disease outcomes and use of hospital resources from prolonged intensive care and inpatient admission; preliminary data suggest these may differ according to WHO regions and country income levels. The different risk factors for encephalopathy and stroke suggest different disease mechanisms which may be amenable to intervention, especially in those who develop neurological symptoms after hospital admission.

[Iodinated contrast-induced encephalopathy: a pathology that must be borne in mind when carrying out endovascular examinations]

INTRODUCTION

In recent years there has been an increase in the number of endovascular examinations in the study of both cardiovascular and cerebrovascular diseases. One very infrequent complication is neurotoxicity due to contrast, and it must be suspected within the context of a neurological deficit following such examinations in order to be able to diagnose it.

CASE REPORT

A 61-year-old male who presented an epileptic attack and later deficit in the left hemisphere following diagnostic arteriography. After ruling out the possibility of an urgent vascular pathology, he was submitted to a magnetic resonance brain scan with the suspicion of this condition. The clinical signs and symptoms were limited to 72 hours with cortisone therapy.

CONCLUSIONS

Contrast-induced encephalopathy covers a wide range of clinical features which, in the vast majority of cases, are self-limiting to 24-72 hours, and within the context of neuronal damage following contrast infusion. Its prognosis is excellent, and diagnostic suspicion is crucial in its treatment.

Usefulness of blood and cerebrospinal fluid laboratory testing to predict bacterial meningitis in the emergency department

INTRODUCTION

The classic clinical presentation of bacterial meningitis (BM) is observed in less than half of the cases in adults, and symptoms are less specific in children, the elderly or immunocompromised, and other chronic patients. The usual signs and symptoms do not provide optimal sensitivity and specificity for distinguishing possible BM from viral meningitis (VM), which may lead to a delay in the appropriate antimicrobial therapy. Society therefore stands to benefit from the development of effective, objective, and rapid tools able to predict and identify patients with BM. These tools include laboratory tests for blood and cerebrospinal fluid (CSF). The aim of this review is to summarise recently published scientific evidence in order to clarify existing controversies and compare the usefulness and diagnostic ability of the different parameters used to predict BM.

DEVELOPMENT

Systematic search of the main bibliographic databases and platforms to identify articles published between January 2000 and January 2016. We selected 59 articles that meet the objectives of this review.

CONCLUSIONS

CSF lactate, proportion of polymorphonuclear leukocytes, and CSF glucose, as well as serum procalcitonin (PCT), are the independent factors most predictive of bacterial aetiology. The model that combines serum PCT and CSF lactate achieves the highest predictive power for BM, with a sensitivity and specificity exceeding 99%. We should consider BM when CSF lactate >33 md/dL and/or PCT>0.25ng/mL.