Background: Although recent diagnostic criteria for Alzheimer's disease propose the use of biomarkers, validation of these biomarkers by diagnostic test accuracy studies is a necessary first step, followed by the synthesis of the evidence from these studies in systematic reviews and meta-analyses. The quality of the resulting evidence depends on the number and size of the primary studies, their quality, and the adequacy of their reporting. This systematic review assesses the weight and quality of the evidence available from primary diagnostic test accuracy studies. Methods: A MEDLINE search was performed in August 2011 to identify all potentially relevant publications relating to the biomarkers β-amyloid, tau, positron emission tomography ( 18F-fluorodeoxyglucose or ligands for amyloid), or magnetic resonance imaging (MRI). The reporting and methodology were assessed using the Standards for Reporting of Diagnostic Accuracy and Quality Assessment of Diagnostic Accuracy Studies assessment tools, respectively. Because clinical progression to dementia is the most commonly used reference standard, this review focuses on participants with objective cognitive impairment but no dementia at baseline. Results: Of the 19,104 published references identified by the search, 142 longitudinal studies relating to the biomarkers of interest were identified, which included subjects who had objective cognitive impairment but no dementia at baseline. The highest number of studies (n = 70) and of participants (n = 4722) related to structural MRI. MRI also yielded the highest number of studies with extractable data for meta-analysis (n = 32 [46% of all structural MRI studies]), followed by cerebrospinal fluid tau (n = 24 [73%]). There were few studies on positron emission tomography ligands for amyloid having suitable data for meta-analysis (n = 4). There was considerable variation across studies in reporting outcomes, methods of blinding and selection, means of accounting for indeterminate or missing values, the interval between the test and assessments, and the determination of test thresholds. Conclusions: The body of evidence for biomarkers is not large and is variable across the different types of biomarkers. Important information is missing from many study reports, highlighting the need for standardization of methodology and reporting to improve the rigor of biomarker validation. © 2013 The Alzheimer's Association. All rights reserved

Using data from the PRIME Study, an observational study of the menopause in women living with HIV in England, we explored the association between menopausal symptoms and: (i) antiretroviral therapy (ART) adherence and (ii) HIV clinic attendance.We measured menopausal symptom severity with the Menopause Rating Scale (MRS, score ≥17 indicating severe symptoms), adherence with the CPCRA Antiretroviral Medication Adherence Self-Report Form, and ascertained HIV clinic attendance via self-report. Odds ratios were obtained using logistic regression.Women who reported severe menopausal symptoms had greater odds of suboptimal ART adherence (adjusted odds ratio (AOR) 2.22; 95% CI 1.13, 4.35) and suboptimal clinic attendance (AOR 1.52; 95% CI 1.01, 2.29). When psychological, somatic and urogenital domains of the MRS were analysed individually there was no association between adherence and severe symptoms (all p > 0.1), however there was an association between suboptimal HIV clinic attendance and severe somatic (AOR 1.98; 95% CI 1.24, 3.16) and psychological (AOR 1.76; 95% CI 1.17, 2.65) symptoms.Severe menopausal symptoms were significantly associated with sub-optimal ART adherence and HIV clinic attendance, however we cannot infer causality, highlighting the need for longitudinal data. ARTICLE HISTORY

Advances in the treatment of HIV have led to increasing numbers of people living with HIV reaching older age. Age-related comorbid conditions, such as cardiovascular disease (CVD), are therefore of increasing importance in HIV clinical practice. Over half the global population of people living with HIV are female. We present a narrative literature review of 39 studies exploring CVD in women living with HIV (WLHIV), with particular reference to coronary heart disease, and focusing on: (1) epidemiology, (2) pathophysiology, (3) risk factors (including traditional risk factors and HIV-related risk factors), and (4) management. Although we found significant gaps in the literature on CVD in WLHIV, data suggest that: HIV increases the risk of CVD in women even more than it does in men; certain cardiometabolic risk factors (such as obesity and metabolic syndrome) are more prevalent in WLHIV than their male counterparts; and risk factors such as hyperlipidaemia and hypertension are not optimally managed in this population. Clinicians working with WLHIV therefore need to be aware that this is a patient group at elevated cardiovascular risk, and should be familiar with relevant guidelines.

ObjectivesWomen living with HIV in the UK are an ethnically diverse group with significant psychosocial challenges. Increasing numbers are reaching older age. We describe psychological and socioeconomic factors among women with HIV in England aged 45–60 and explore associations with ethnicity.MethodsAnalysis of cross-sectional data on 724 women recruited to the PRIME Study. Psychological symptoms were measured using the Patient Health Questionnaire 4 and social isolation with a modified Duke-UNC Functional Social Support Scale.ResultsBlack African (BA) women were more likely than Black Caribbean or White British (WB) women to have a university education (48.3%, 27.0%, 25.7%, respectively, p<0.001), but were not more likely to be employed (68.4%, 61.4%, 65.2%, p=0.56) and were less likely to have enough money to meet their basic needs (56.4%, 63.0%, 82.9%, p<0.001). BA women were less likely to report being diagnosed with depression than WB women (adjusted odds ratio (aOR) 0.40, p<0.001) but more likely to report current psychological distress (aOR 3.34, p<0.05).ConclusionsWe report high levels of poverty, psychological distress and social isolation in this ethnically diverse group of midlife women with HIV, especially among those who were BA. Despite being more likely to experience psychological distress, BA women were less likely to have been diagnosed with depression suggesting a possible inequity in access to mental health services. Holistic HIV care requires awareness of the psychosocial needs of older women living with HIV, which may be more pronounced in racially minoritised communities, and prompt referral for support including psychology, peer support and advice about benefits.

T he fi rst confi rmed cases of coronavirus disease (COVID-19) in the United Kingdom were identifi ed at the end of January 2020. As cases increased across all regions, surveillance data indicated that the epidemic was progressing more rapidly in London than the rest of the United Kingdom. In response to the increase in cases, hospitalizations, and deaths, the United Kingdom introduced a series of measures to limit transmission, beginning March 12, 2020 (week 11); persons with a continuous cough or fever were advised to self-isolate for 7 days, school trips abroad were cancelled, and at-risk groups were advised to avoid cruises. These measures culminated in the implementation of legally enforceable public health and social measures (i.e., lockdown) beginning March 23 (week 13) (1).Despite the reporting of a range of surveillance data in England, including laboratory-confi rmed cases, primary-care consultations, hospital and intensive care unit (ICU) admissions, and deaths (2), much remains unknown about the magnitude of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus in the population, the key drivers of transmission, and the incidence of asymptomatic or mildly symptomatic infection within the UK population thus far.Serologic estimates are critical to better understand epidemiologic trends and help inform policy options to control disease. These estimates also provide a denominator for estimating severity measures, such as infection fatality and infection hospitalization ratios, and to help clarify the epidemiology of COV-ID-19 in the population.Early in the pandemic, data from populationbased seroepidemiologic studies were limited (N. Bobrovitz et al., unpub. data,