Retrospective longitudinal study of ALS in Cyprus: Clinical characteristics, management and survival

Time of symptoms beyond the bulbar region predicts survival in bulbar onset amyotrophic lateral sclerosis

BACKGROUND

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Spreading pattern and time interval of spreading are getting more and more attention. The aim of present study was to investigate spreading pattern in bulbar onset ALS patients and to explore the relationship between time interval of spreading and survival.

METHODS

ALS patients with bulbar onset diagnosed at Chinese PLA General Hospital from January 2015 to December 2018 were recruited. Clinical features including gender, onset age, diagnostic delay, the second involved region (SIR), time of symptoms beyond the bulbar region, forced vital capacity (FVC), ALSFRS-R score, electromyography results, and survival time were retrospectively collected.

RESULTS

A total of 96 bulbar onset ALS patients were collected. Overall patients showed female predominance. Median age at onset was 56 years. Median diagnostic delay was 8.5 months. Median time of symptoms beyond the bulbar region (TBBR) was 7 months. Median ALSFRS-R score at baseline was 40. Fifty-six (58.3%) patients' SIR were upper limb, 6 (6.3%) patients' SIR were lower limb, 3 (3.1%) patients' SIR were upper and lower limbs, and 5 (5.2%) patients' SIR were thoracic region. Twenty-six (27.1%) patients did not report SIR. The median survival time of patients with TBBR ≥ 7 months was significantly longer than that with TBBR < 7 month. Multivariate Cox regression showed that onset age and TBBR were prognostic factors.

CONCLUSIONS

In bulbar onset ALS patients, cervical region is the second most common SIR. TBBR is an independent prognostic factor.

Triage of Amyotrophic Lateral Sclerosis Patients during the COVID-19 Pandemic: An Application of the D50 Model

Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, the management of which requires the continuous provision of multidisciplinary therapies. Owing to the novel coronavirus disease (COVID-19) pandemic, regular contact with ALS patients at our center was severely restricted and patient care was at risk by delay of supportive therapies. We established a triage system based on the D50 disease progression model and were thus able to identify a prospective cohort with high disease aggressiveness (D50 < 30). Thirty-seven patients with highly aggressive disease were actively offered follow-up, either via telephone or on-site, depending on their disease-specific needs and abilities. We describe here the procedures, obstacles, and results of these prescient efforts during the restrictions caused by COVID-19 in the period between March and June 2020. In conclusion, four patients with highly aggressive disease were initiated with non-invasive ventilation and two received a gastrostomy. We could show that a comparable amount of advanced care was induced in a retrospective cohort within a similar time period one year prior to the COVID-19 outbreak. Our workflow to identify high-risk patients via D50 model metrics can be easily implemented and integrated within existing centers. It helped to maintain a high quality of advanced care planning for our ALS patients.

Characteristics of amyotrophic lateral sclerosis in Lebanon-a chart review

OBJECTIVE

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder primarily manifesting as motor deficits. It is caused by motor neuron death and leads to progressive disability and demise. It can present at any age, manifest as several phenotypes, and may have a variable progression pattern. Methods: This retrospective study is based on chart review of subjects presenting to the American University of Beirut Medical Center from June 2015 till March 2020. It aims to describe the characteristics of ALS in Lebanon. Results: Out of 140 subjects identified, 113 had classical ALS. The mean age in classical and atypical ALS were 55.5 and 55.6 years, male gender was predominant in both groups, and the mean duration from disease onset to diagnosis was 10 months in classic ALS compared to 22 months in atypical ALS. The median survival in subjects with classical ALS was 31 months which was significantly lower than atypical ALS phenotypes of 41.5 months. Additionally, more than half of patients (57%) were found to have a moderate ALSFRS-R progression rate. Conclusions: The study is the first to report the characteristics of amyotrophic lateral sclerosis in Lebanon. Moreover, we were able to categorize patients with classical phenotype according to disease progression using the ALSFRS-R score which can be a useful tool in determining disease prognosis at an early stage.

What do we know about the variability in survival of patients with amyotrophic lateral sclerosis?

INTRODUCTION

ALS is a fatal neurodegenerative disease. However, patients show variability in the length of survival after symptom onset. Understanding the mechanisms of long survival could lead to possible avenues for therapy.

AREAS COVERED

This review surveys the reported length of survival in ALS, the clinical features that predict survival in individual patients, and possible factors, particularly genetic factors, that could cause short or long survival. The authors also speculate on possible mechanisms.

EXPERT OPINION

a small number of known factors can explain some variability in ALS survival. However, other disease-modifying factors likely exist. Factors that alter motor neurone vulnerability and immune, metabolic, and muscle function could affect survival by modulating the disease process. Knowing these factors could lead to interventions to change the course of the disease. The authors suggest a broad approach is needed to quantify the proportion of variation survival attributable to genetic and non-genetic factors and to identify and estimate the effect size of specific factors. Studies of this nature could not only identify novel avenues for therapeutic research but also play an important role in clinical trial design and personalized medicine.