Additional file 1: of Tdp-43 cryptic exons are highly variable between cell types

Supplemental figures and tables. (PDF 4449 kb

Additional file 2: of Tdp-43 cryptic exons are highly variable between cell types

Cryptic Exon Data Table. (XLSX 59 kb

Cumulative percentage of possible features of the FTDC criteria (%) in patients with the <i>C9ORF72</i> expansion.

<p>The numbers at the end of the bars represent cumulative percentage frequencies of possible bvFTD features. All the study participants had at least one possible feature and 5.6% had all the six features.</p

Frequency of behavioural and cognitive symptoms in patients with the <i>C9ORF72</i> expansion (%).

<p>The numbers at the end of the bars represent percentage frequencies. Neuropsychological examination was done to 32 study subjects out of 36.</p

Flow chart of the study.

<p>Thirty-six patients with the <i>C9ORF72</i> expansion were examined. Seventy-five percent (N = 27) of the study participants met the possible FTDC criteria and 64% (N = 23) met the probable FTDC criteria. Altogether 25% did not meet FTDC possible criteria. Seventy-eight percent of them (N = 7) had positive neuroimaging result and 22% (N = 2) had negative neuroimaging result for FTD.</p

Characteristics of the study participants.

<p>Ages, standard deviations (SD), ranges and 95% confidential intervals of characteristics of the study participants (N = 36).</p><p>Characteristics of the study participants.</p

Additional file 1: Figures S1–S4. of A data-driven approach links microglia to pathology and prognosis in amyotrophic lateral sclerosis

Contain plots of pathology counts in ALS-motor neurons and details of the WGCNA analysis used to derive network modules. (PDF 723 kb

Interhospital and interindividual variability in secondary prevention: a comparison of outpatients with a history of chronic coronary syndrome versus outpatients with a history of acute coronary syndrome (the iASPIRE Study)

Background Studying variability in the care provided to secondary prevention coronary heart disease (CHD) outpatients can identify interventions to improve their outcomes. Methods We studied outpatients who had an index CHD event in the preceding 6–24 months. Eligible CHD events included acute coronary syndrome (ACS) and coronary revascularisation for stable chronic coronary syndrome (CCS). Site training was provided by a core team and data were collected using standardised methods. Results Between 2017 and 2019, we enrolled 721 outpatients at nine Irish study sites; 81% were men and mean age was 63.9 (SD ±8.9) years. The study examination occurred a median of 1.16 years after the index CHD event, which was ACS in 399 participants (55%) and stable-CCS in 322. On examination, 42.5% had blood pressure (BP) >140/90mm Hg, 63.7% had low?density lipoprotein cholesterol (LDL-C) >1.8mmol/L and 44.1% of known diabetics had an HbA1c >7%. There was marked variability in risk factor control, both by study site and, in particular, by index presentation type. For example, 82% of outpatients with prior-ACS had attended cardiac rehabilitation versus 59% outpatients with prior-CCS (p Conclusions Despite international secondary prevention guidelines broadly recommending the same risk factor targets for all adults with CHD, we found marked differences in outpatient risk factor control and management on the basis of hospital location and index CHD presentation type (acute vs chronic). These findings highlight the need to reduce hospital-level and patient-level variability in preventive care to improve outcomes; a lesson that should inform CHD prevention programmes in Ireland and around the world.</p