Aspirin Use Associated With Amyotrophic Lateral Sclerosis: a Total Population-Based Case-Control Study

Background

The association of aspirin use and nonsteroid anti-inflammatory drug (NSAID) use with amyotrophic lateral sclerosis (ALS) risk is unclear. This study determined whether use of any individual compound is associated with ALS risk by conducting a total population-based case-control study in Taiwan.

Methods

A total of 729 patients with newly diagnosed ALS who had a severely disabling disease certificate between January 1, 2002, and December 1, 2008, comprised the case group. These cases were compared with 7290 sex-, age-, residence-, and insurance premium-matched controls. Drug use by each Anatomical Therapeutic Chemical code was analyzed using conditional logistic regression models. False discovery rate (FDR)-adjusted P values were reported in order to avoid inflating false positives.

Results

Of the 1336 compounds, only the 266 with use cases exceeding 30 in our database were included in the screening analysis. Without controlling for steroid use, the analysis failed to reveal any compound that was inversely associated with ALS risk according to FDR criteria. After controlling for steroid use, we found use of the following compounds to be associated with ALS risk: aspirin, diphenhydramine (one of the antihistamines), and mefenamic acid (one of the NSAIDs). A multivariate analysis revealed that aspirin was independently inversely associated with ALS risk after controlling for diphenhydramine, mefenamic acid, and steroid use. The inverse association between aspirin and ALS was present predominately in patients older than 55 years.

Conclusions

The results of this study suggested that aspirin use might reduce the risk of ALS, and the benefit might be more prominent for older people.Key words: amyotrophic lateral sclerosis, aspirin, case-control study     

Argatroban for therapeutic anticoagulation for heparin resistance associated with Covid-19 infection

Journal of Thrombosis and Thrombolysis -     

Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup

Multi‐institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful results from relatively small samples at institutional levels. We studied 87 first episode psychosis (FEP) patients and 62 healthy subjects by combining supervised integrated factor analysis (SIFA) with a novel pipeline for automated structure‐based analysis, an efficient and comprehensive method for dimensional data reduction that our group recently established. We integrated multiple MRI features (volume, DTI indices, resting state fMRI—rsfMRI) in the whole brain of each participant in an unbiased manner. The automated structure‐based analysis showed widespread DTI abnormalities in FEP and rs‐fMRI differences between FEP and healthy subjects mostly centered in thalamus. The combination of multiple modalities with SIFA was more efficient than the use of single modalities to stratify a subgroup of FEP (individuals with schizophrenia or schizoaffective disorder) that had more robust deficits from the overall FEP group. The information from multiple MRI modalities and analytical methods highlighted the thalamus as significantly abnormal in FEP. This study serves as a proof‐of‐concept for the potential of this methodology to reveal disease underpins and to stratify populations into more homogeneous sub‐groups.     

Selected components of physical fitness in rhythmic and artistic youth gymnast

Purpose

Rhythmic (RG) and artistic gymnastics (AG) are very popular female sports. These two disciplines share some common points but, at the same time, they display some relevant differences in terms of physical and technical characteristics. The aim of this study was as follows: (1) to clarify how gymnastic training background over the years could lead to the development and motor learning of the motor skills and (2) to highlight differences of conditional skills achieved by RG and AG athletes.

Methods

For these aims, 45 athletes were selected, belonging to three balanced groups: promotional (PG, n?=?15), RG (n?=?15), and AG (n?=?15). Participants were tested for joints mobility, balance, explosive strength, speed, and endurance tests.

Results

Statistical analysis showed a good test–retest reliability of the measurements (ICC?>?0.870) and some significant differences between PG, RG, and AG. RG showed higher values in joint mobility tests (coxo-femoral mobility, 166.7?±?6.3°; sit and reach, 20.5?±?1.9 cm; and scapulo-humeral mobility, 45.5?±?4.4 cm) with respect to AG, while AG showed higher values in endurance (1626.7?±?7.4 m), balance (4.33?±?1.35 n/60 s), and explosive strength (164.1?±?11.6 cm) compared to RG (p?<?0.05).

Conclusion

RG and AG seem to be effective in enhancing different and sport-specific physical fitness and conditioning. RG enables, indeed, to develop more joints mobility whereas AG improves more strength, balance, and endurance. However, given the small sample size employed, these results should be replicated by further studies utilizing larger samples.

     

The Moxus Modular metabolic system evaluated with two sensors for ventilation against the Douglas bag method

This study evaluated the Moxus metabolic system with the Douglas bag method (DBM) as criterion. Reliability and validity were investigated in a wide range of ventilation and oxygen uptake and two sensors for determining ventilation were included. Thirteen well-trained athletes participated in one pre-test and four tests for data collection, exercising on a cycle ergometer at five submaximal powers (50–263 W) and at $ V{\text{O}}_{{2{ \hbox{max} }}} $ . Gas exchange variables were measured simultaneously using a serial setup with data collected on different days in an order randomized between Moxus with pneumotachometer (MP) and turbine flowmeter (MT) sensors for ventilation. Reliability with both sensors was comparable to the DBM. Average CV (%) of all exercise intensities were with MP: 3.0 ± 1.3 for VO₂, 3.8 ± 1.5 for VCO₂, 3.1 ± 1.2 for the respiratory exchange ratio (RER) and 4.2 ± 0.8 for V _E. The corresponding values with MT were: 2.7 ± 0.3 for VO₂, 4.7 ± 0.4 for VCO₂, 3.3 ± 0.9 for RER and 4.8 ± 1.4 for V _E. Validity was acceptable except for small differences related to the determination of ventilation. The relative differences in relation to DBM at the powers including $ V{\text{O}}_{2\hbox{max} } $ were similar for both sensors with the ranges being: +4 to ?2 % for V _E, +5 to ?3 % for VO₂ and +5 to ?4 % for VCO₂ while RER did not differ at any power. The Moxus metabolic system shows high and adequate reliability and reasonable validity over a wide measurement range. At a few exercise levels, V _E differed slightly from DBM, resulting in concomitant changes in VO₂ and VCO₂.