scholarly journals 50.4 Impact of Early Trauma on Teacher Assessment of Childhood Behavioral Outcomes in a High-Risk Population

2021 ◽  
Vol 60 (10) ◽  
pp. S250-S251
Author(s):  
Philip Bowers ◽  
Julie Kable ◽  
Molly Millians ◽  
Claire Coles
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Maitri Kalra ◽  
Yan Tong ◽  
David R. Jones ◽  
Tom Walsh ◽  
Michael A. Danso ◽  
...  

AbstractPatients with triple-negative breast cancer (TNBC) who have residual disease after neoadjuvant therapy have a high risk of recurrence. We tested the impact of DNA-damaging chemotherapy alone or with PARP inhibition in this high-risk population. Patients with TNBC or deleterious BRCA mutation (TNBC/BRCAmut) who had >2 cm of invasive disease in the breast or persistent lymph node (LN) involvement after neoadjuvant therapy were assigned 1:1 to cisplatin alone or with rucaparib. Germline mutations were identified with BROCA analysis. The primary endpoint was 2-year disease-free survival (DFS) with 80% power to detect an HR 0.5. From Feb 2010 to May 2013, 128 patients were enrolled. Median tumor size at surgery was 1.9 cm (0–11.5 cm) with 1 (0–38) involved LN; median Residual Cancer Burden (RCB) score was 2.6. Six patients had known deleterious BRCA1 or BRCA2 mutations at study entry, but BROCA identified deleterious mutations in 22% of patients with available samples. Toxicity was similar in both arms. Despite frequent dose reductions (21% of patients) and delays (43.8% of patients), 73% of patients completed planned cisplatin. Rucaparib exposure was limited with median concentration 275 (82–4694) ng/mL post-infusion on day 3. The addition of rucaparib to cisplatin did not increase 2-year DFS (54.2% cisplatin vs. 64.1% cisplatin + rucaparib; P = 0.29). In the high-risk post preoperative TNBC/BRCAmut setting, the addition of low-dose rucaparib did not improve 2-year DFS or increase the toxicity of cisplatin. Genetic testing was underutilized in this high-risk population.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Stepien ◽  
P Furczynska ◽  
M Zalewska ◽  
K Nowak ◽  
A Wlodarczyk ◽  
...  

Abstract Background Recently heart failure (HF) has been found to be a new dementia risk factor, nevertheless their relations in patients following HF decompensation remain unknown. Purpose We sought to investigate whether a screening diagnosis for dementia (SDD) in this high-risk population may predict unfavorable long-term clinical outcomes. Methods 142 patients following HF decompensation requiring hospitalization were enrolled. Within a median time of 55 months all patients were screened for dementia with ALFI-MMSE scale whereas their compliance was assessed with the Morisky Medication Adherence Scale. Any incidents of myocardial infarction, coronary revascularization, stroke or transient ischemic attack (TIA), revascularization, HF hospitalization and bleedings during follow-up were collected. Results SDD was established in 37 patients (26%) based on the result of an ALFI-MMSE score of <17 points. By multivariate analysis the lower results of the ALFI-MMSE score were associated with a history of stroke/TIA (β=−0.29, P<0.001), peripheral arterial disease (PAD) (β=−0.20, P=0.011) and lower glomerular filtration rate (β=0.24, P=0.009). During the follow-up, patients with SDD were more often rehospitalized following HF decompensation (48.7% vs 28.6%, P=0.014) than patients without SDD, despite a similar level of compliance (P=0.25). Irrespective of stroke/TIA history, SDD independently increased the risk of rehospitalization due to HF decompensation (HR 2.22, 95% CI 1.23–4.01, P=0.007). Conclusions As shown for the first time in literature patients following decompensated HF, a history of stroke/TIA, PAD and impaired renal function independently influenced SDD. In this high-risk population, SDD was not associated with patients' compliance but irrespective of the stroke/TIA history it increased the risk of recurrent HF hospitalization. The survival free of rehospitalization Funding Acknowledgement Type of funding source: None


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ausenda Machado ◽  
Irina Kislaya ◽  
Amparo Larrauri ◽  
Carlos Matias Dias ◽  
Baltazar Nunes

Abstract Background All aged individuals with a chronic condition and those with 65 and more years are at increased risk of severe influenza post-infection complications. There is limited research on cases averted by the yearly vaccination programs in high-risk individuals. The objective was to estimate the impact of trivalent seasonal influenza vaccination on averted hospitalizations and death among the high-risk population in Portugal. Methods The impact of trivalent seasonal influenza vaccination was estimated using vaccine coverage, vaccine effectiveness and the number of influenza-related hospitalizations and deaths. The number of averted events (NAE), prevented fraction (PF) and number needed to vaccinate (NVN) were estimated for seasons 2014/15 to 2016/17. Results The vaccination strategy averted on average approximately 1833 hospitalizations and 383 deaths per season. Highest NAE was observed in the ≥65 years population (85% of hospitalizations and 95% deaths) and in the 2016/17 season (1957 hospitalizations and 439 deaths). On average, seasonal vaccination prevented 21% of hospitalizations in the population aged 65 and more, and 18.5% in the population with chronic conditions. The vaccination also prevented 29% and 19.5% of deaths in each group of the high-risk population. It would be needed to vaccinate 3360 high-risk individuals, to prevent one hospitalization and 60,471 high-risk individuals to prevent one death. Conclusion The yearly influenza vaccination campaigns had a sustained positive benefit for the high-risk population, reducing hospitalizations and deaths. These results can support public health plans toward increased vaccine coverage in high-risk groups.


2015 ◽  
Vol 44 (4) ◽  
pp. 757-769 ◽  
Author(s):  
Nancy Garon ◽  
Lonnie Zwaigenbaum ◽  
Susan Bryson ◽  
Isabel M. Smith ◽  
Jessica Brian ◽  
...  

2014 ◽  
Vol 82 (3) ◽  
pp. 255-256 ◽  
Author(s):  
Yang Sun ◽  
Lei Fan ◽  
Jin Meng ◽  
Feng Zhang ◽  
Dian Zhang ◽  
...  

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