2 research outputs found
Supportive care after curative treatment for breast cancer (survivorship care): Resource allocations in low- and middle-income countries. A Breast Health Global Initiative 2013 consensus statement
Breast cancer survivors may experience long-term treatment complications, must live with the risk of cancer recurrence, and often experience psychosocial complications that require supportive care services. In low- and middle-income settings, supportive care services are frequently limited, and program development for survivorship care and long-term follow-up has not been well addressed. As part of the 5th Breast Health Global Initiative (BHGI) Global Summit, an expert panel identified nine key resources recommended for appropriate survivorship care, and developed resource-stratified recommendations to illustrate how health systems can provide supportive care services for breast cancer survivors after curative treatment, using available resources. Key recommendations include health professional education that focuses on the management of physical and psychosocial long-term treatment complications. Patient education can help survivors transition from a provider-intense cancer treatment program to a post-treatment provider partnership and self-management program, and should include: education on recognizing disease recurrence or metastases; management of treatment-related sequelae, and psychosocial complications; and the importance of maintaining a healthy lifestyle. Increasing community awareness of survivorship issues was also identified as an important part of supportive care programs. Other recommendations include screening and management of psychosocial distress; management of long-term treatment-related complications including lymphedema, fatigue, insomnia, pain, and women's health issues; and monitoring survivors for recurrences or development of second primary malignancies. Where possible, breast cancer survivors should implement healthy lifestyle modifications, including physical activity, and maintain a healthy weight. Health professionals should provide well-documented patient care records that can follow a patient as they transition from active treatment to follow-up care. © 2013 The Authors.SCOPUS: re.jinfo:eu-repo/semantics/publishe
Whole-genome sequencing reveals host factors underlying critical COVID-19
Altres ajuts: Department of Health and Social Care (DHSC); Illumina; LifeArc; Medical Research Council (MRC); UKRI; Sepsis Research (the Fiona Elizabeth Agnew Trust); the Intensive Care Society, Wellcome Trust Senior Research Fellowship (223164/Z/21/Z); BBSRC Institute Program Support Grant to the Roslin Institute (BBS/E/D/20002172, BBS/E/D/10002070, BBS/E/D/30002275); UKRI grants (MC_PC_20004, MC_PC_19025, MC_PC_1905, MRNO2995X/1); UK Research and Innovation (MC_PC_20029); the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z); the Edinburgh Clinical Academic Track (ECAT) programme; the National Institute for Health Research, the Wellcome Trust; the MRC; Cancer Research UK; the DHSC; NHS England; the Smilow family; the National Center for Advancing Translational Sciences of the National Institutes of Health (CTSA award number UL1TR001878); the Perelman School of Medicine at the University of Pennsylvania; National Institute on Aging (NIA U01AG009740); the National Institute on Aging (RC2 AG036495, RC4 AG039029); the Common Fund of the Office of the Director of the National Institutes of Health; NCI; NHGRI; NHLBI; NIDA; NIMH; NINDS.Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care or hospitalization after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes-including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)-in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease