Retrospective cohort study on factors associated with mortality in high-risk pediatric critical care patients in the Netherlands

Background: High-risk patients in the pediatric intensive care unit (PICU) contribute substantially to PICU-mortality. Complex chronic conditions (CCCs) are associated with death. However, it is unknown whether CCCs also increase mortality in the high-risk PICU-patient. The objective of this study is to determine if CCCs or other factors are associated with mortality in this group. Methods: Retrospective cohort study from a national PICU-database (2006-2012, n = 30,778). High-risk PICU-patients, defined as patients 30% according to either the recalibrated Pediatric Risk of Mortality-II (PRISM) or the Paediatric Index of Mortality 2 (PIM2), were included. Patients with a cardiac arrest before PICU-admission were excluded. Results: In total, 492 high-risk PICU patients with mean predicted risk of 24.8% (SD 22.8%) according to recalibrated PIM2 and 40.0% (SD 23.8%) according to recalibrated PRISM were included of which 39.6% died. No association was found between CCCs and non-survival (odds ratio 0.99; 95% CI 0.62-1.59). Higher Glasgow coma scale at PICU admission was associated with lower mortality (odds ratio 0.91; 95% CI 0.87-0.96). Conclusio

Breast cancer risk genes: association analysis in more than 113,000 women

BACKGROUNDGenetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking.METHODSWe used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity.RESULTSProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants.CONCLUSIONSThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.)Molecular tumour pathology - and tumour geneticsMTG1 - Moleculaire genetica en pathologie van borstkanke

Tissue-resident memory CD8(+)T cells shape local and systemic secondary T cell responses

Tissue-resident memory CD8(+)T cells (T(RM)cells) are crucial in protecting against reinvading pathogens, but the impact of reinfection on their tissue confinement and contribution to recall responses is unclear. We developed a unique lineage tracer mouse model exploiting the T-RM-defining transcription factor homolog of Blimp-1 in T cells (Hobit) to fate map the T(RM)progeny in secondary responses. After reinfection, a sizeable fraction of secondary memory T cells in the circulation developed downstream of T(RM)cells. These tissue-experienced ex-T(RM)cells shared phenotypic properties with the effector memory T cell population but were transcriptionally and functionally distinct from other secondary effector memory T cell cells. Adoptive transfer experiments of T(RM)cells corroborated their potential to form circulating effector and memory cells during recall responses. Moreover, specific ablation of primary T(RM)cell populations substantially impaired the secondary T cell response, both locally and systemically. Thus, T(RM)cells retain developmental plasticity and shape both local and systemic T cell responses on reinfection.Van Gisbergen and colleagues show that tissue-resident memory T cells, genetically marked in Hobit reporter mice, can exit tissues upon reinfection and contribute to systemic memory responses.Tumorimmunolog

Risk of Clinically Relevant Pericardial Effusion After Pediatric Cardiac Surgery

Thoracic Surger