\u27It Could be Worse ... Lot\u27s Worse!\u27 Why Health-Related Quality of Life is Better in Older Compared with Younger Individuals with Heart Failure

Background: health-related quality of life (HRQOL) is markedly impaired in patients with heart failure (HF). Despite worse prognosis and physical status, older patients have better HRQOL than younger patients. Objective: to determine reasons for differences in HRQOL in older compared with younger HF patients. Methods: a mixed methods approach was used. HRQOL was assessed using the Minnesota Living with HF Questionnaire and compared among HF patients (n = 603) in four age groups (≤53, 54–62, 63–70 and ≥71 years). Socio-demographic/clinical and psychological factors related to HRQOL were determined in four groups using multiple regressions. Patients (n = 20) described their views of HRQOL during semi-structured interviews. Results: HRQOL was worse in the youngest group, and best in the two oldest groups. The youngest group reported higher levels of depression and anxiety than the oldest group. Anxiety, depression and functional capacity predicted HRQOL in all age groups. Qualitatively, patients in all age groups acknowledged the negative impact of HF on HRQOL; nonetheless older patients reported that their HRQOL exceeded their expectations for their age. Younger patients bemoaned the loss of activities and roles, and reported their HRQOL as poor. Conclusions: better HRQOL among older HF patients is the result, in part, of better psychosocial status. The major factor driving better HRQOL among older patients is a change with advancing age in expectations about what constitutes good HRQOL

It could be worse ... lot's worse!' Why health-related quality of life is better in older compared with younger individuals with heart failure

Health-related quality of life ( HRQOL ) is markedly impaired in patients with heart failure ( HF ). Despite worse prognosis and physical status, older patients have better HRQOL than younger patients

A physical map of the chicken genome

Strategies for assembling large, complex genomes have evolved to include a combination of whole-genome shotgun sequencing and hierarchal map-assisted sequencing. Whole-genome maps of all types can aid genome assemblies, generally starting with low-resolution cytogenetic maps and ending with the highest resolution of sequence. Fingerprint clone maps are based upon complete restriction enzyme digests of clones representative of the target genome, and ultimately comprise a near-contiguous path of clones across the genome. Such clone-based maps are used to validate sequence assembly order, supply long-range linking information for assembled sequences, anchor sequences to the genetic map and provide templates for closing gaps. Fingerprint maps are also a critical resource for subsequent functional genomic studies, because they provide a redundant and ordered sampling of the genome with clones. In an accompanying paper we describe the draft genome sequence of the chicken, Gallus gallus, the first species sequenced that is both a model organism and a global food source. Here we present a clone-based physical map of the chicken genome at 20-fold coverage, containing 260 contigs of overlapping clones. This map represents approximately 91% of the chicken genome and enables identification of chicken clones aligned to positions in other sequenced genomes

Measurements of the Total and Differential Higgs Boson Production Cross Sections Combining the H??????? and H???ZZ*???4??? Decay Channels at s\sqrt{s}=8??????TeV with the ATLAS Detector

Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3~fb$^{-1}$ of $pp$ collisions produced by the Large Hadron Collider at a center-of-mass energy of $\sqrt{s} = 8$ TeV and recorded by the ATLAS detector. Cross sections are obtained from measured $H \rightarrow \gamma \gamma$ and $H \rightarrow ZZ ^{*}\rightarrow 4\ell$ event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be $\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}$. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3  fb-1 of pp collisions produced by the Large Hadron Collider at a center-of-mass energy of s=8  TeV and recorded by the ATLAS detector. Cross sections are obtained from measured H→γγ and H→ZZ*→4ℓ event yields, which are combined accounting for detector efficiencies, fiducial acceptances, and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be σpp→H=33.0±5.3 (stat)±1.6 (syst)  pb. The measurements are compared to state-of-the-art predictions.Measurements of the total and differential cross sections of Higgs boson production are performed using 20.3 fb$^{-1}$ of $pp$ collisions produced by the Large Hadron Collider at a center-of-mass energy of $\sqrt{s} = 8$ TeV and recorded by the ATLAS detector. Cross sections are obtained from measured $H \rightarrow \gamma \gamma$ and $H \rightarrow ZZ ^{*}\rightarrow 4\ell$ event yields, which are combined accounting for detector efficiencies, fiducial acceptances and branching fractions. Differential cross sections are reported as a function of Higgs boson transverse momentum, Higgs boson rapidity, number of jets in the event, and transverse momentum of the leading jet. The total production cross section is determined to be $\sigma_{pp \to H} = 33.0 \pm 5.3 \, ({\rm stat}) \pm 1.6 \, ({\rm sys}) \mathrm{pb}$. The measurements are compared to state-of-the-art predictions