Changes in UK price disparities between healthy and less healthy foods over 10 years: An updated analysis with insights in the context of inflationary increases in the cost-of-living from 2021.

Food prices and affordability play an important role in influencing dietary choices, which in turn have implications for public health. With inflationary increases in the cost-of-living in the UK since 2021, understanding the dynamics of food prices becomes increasingly important. In this longitudinal study, we aimed to examine changes in food prices from 2013 to 2023 by food group and by food healthiness. We established a dataset spanning the years 2013-2023 by combining price data from the UK Consumer Price Index for food and beverage items with nutrient and food data from the UK nutrient databank and UK Department of Health & Social Care's National Diet and Nutrition Survey data. We calculated the price (£/100 kcal) for each food item by year as well as before and during the period of inflationary pressure, and classified items into food groups according to the UK Eatwell Guide and as either "more healthy" or "less healthy" using the UK nutrient profiling score model. In 2023, bread, rice, potatoes and pasta was cheapest (£0.12/100 kcal) and fruit and vegetables most expensive (£1.01/100 kcal). Less healthy food was cheaper than more healthy food (£0.33/100 kcal versus £0.81/100 kcal). Before the inflationary pressure period (from 2013 to late 2021), the price of foods decreased by 3%. After this period, the price of food increased by 22%: relative increases were highest in the food group milk and dairy food (31%) and less healthy category (26%). While healthier foods saw smaller relative price increases since 2021, they remain more expensive, potentially exacerbating dietary inequalities. Policy responses should ensure food affordability and mitigate price disparities via, for example, healthy food subsidies.

Body mass index and survival in people with heart failure.

AIMS: In people with heart failure (HF), a high body mass index (BMI) has been linked with better outcomes ('obesity paradox'), but there is limited evidence in community populations across long-term follow-up. We aimed to examine the association between BMI and long-term survival in patients with HF in a large primary care cohort. METHODS: We included patients with incident HF aged ≥45 years from the Clinical Practice Research Datalink (2000-2017). We used Kaplan-Meier curves, Cox regression and penalised spline methods to assess the association of pre-diagnostic BMI, based on WHO classification, with all-cause mortality. RESULTS: There were 47 531 participants with HF (median age 78.0 years (IQR 70-84), 45.8% female, 79.0% white ethnicity, median BMI 27.1 (IQR 23.9-31.0)) and 25 013 (52.6%) died during follow-up. Compared with healthy weight, people with overweight (HR 0.78, 95% CI 0.75 to 0.81, risk difference (RD) -4.1%), obesity class I (HR 0.76, 95% CI 0.73 to 0.80, RD -4.5%) and class II (HR 0.76, 95% CI 0.71 to 0.81, RD -4.5%) were at decreased risk of death, whereas people with underweight were at increased risk (HR 1.59, 95% CI 1.45 to 1.75, RD 11.2%). In those underweight, this risk was greater among men than women (p value for interaction=0.02). Class III obesity was associated with increased risk of all-cause mortality compared with overweight (HR 1.23, 95% CI 1.17 to 1.29). CONCLUSION: The U-shaped relationship between BMI and long-term all-cause mortality suggests a personalised approach to identifying optimal weight may be needed for patients with HF in primary care. Underweight people have the poorest prognosis and should be recognised as high-risk.

Diagnostic accuracy of natriuretic peptide screening for left ventricular systolic dysfunction in the community: systematic review and meta-analysis.

AIMS: Heart failure (HF) is a global health burden and new strategies to achieve timely diagnosis and early intervention are urgently needed. Natriuretic peptide (NP) testing can be used to screen for left ventricular systolic dysfunction (LVSD), but evidence on test performance is mixed, and international HF guidelines differ in their recommendations. Our aim was to summarize the evidence on diagnostic accuracy of NP screening for LVSD in general and high-risk community populations and estimate optimal screening thresholds. METHODS: We searched relevant databases up to August 2020 for studies with a screened community population of over 100 adults reporting NP performance to diagnose LVSD. Study inclusion, quality assessment, and data extraction were conducted independently and in duplicate. Diagnostic test meta-analysis used hierarchical summary receiver operating characteristic curves to obtain estimates of pooled accuracy to detect LVSD, with optimal thresholds obtained to maximize the sum of sensitivity and specificity. RESULTS: Twenty-four studies were identified, involving 26 565 participants: eight studies in high-risk populations (at least one cardiovascular risk factor), 12 studies in general populations, and four in both high-risk and general populations combined. For detecting LVSD in screened high-risk populations with N-terminal prohormone brain natriuretic peptide (NT-proBNP), the pooled sensitivity was 0.87 [95% confidence interval (CI) 0.73-0.94] and specificity 0.84 (95% CI 0.55-0.96); for BNP, sensitivity was 0.75 (95% CI 0.65-0.83) and specificity 0.78 (95% CI 0.72-0.84). Heterogeneity between studies was high with variations in positivity threshold. Due to a paucity of high-risk studies that assessed NP performance at multiple thresholds, it was not possible to calculate optimal thresholds for LVSD screening in high-risk populations alone. To provide an indication of where the positivity threshold might lie, the pooled accuracy for LVSD screening in high-risk and general community populations were combined and gave an optimal cut-off of 311 pg/mL [sensitivity 0.74 (95% CI 0.53-0.88), specificity 0.85 (95% CI 0.68-0.93)] for NT-proBNP and 49 pg/mL [sensitivity 0.68 (95% CI 0.45-0.85), specificity 0.81 (0.67-0.90)] for BNP. CONCLUSIONS: Our findings suggest that in high-risk community populations NP screening may accurately detect LVSD, potentially providing an important opportunity for diagnosis and early intervention. Our study highlights an urgent need for further prospective studies, as well as an individual participant data meta-analysis, to more precisely evaluate diagnostic accuracy and identify optimal screening thresholds in specifically defined community-based populations to inform future guideline recommendations.

Natriuretic peptide testing and heart failure diagnosis in primary care: diagnostic accuracy study.

BACKGROUND: Natriuretic peptide (NP) testing is recommended for patients presenting to primary care with symptoms of chronic heart failure (HF) to prioritise referral for diagnosis. AIM: To report NP test performance at European Society of Cardiology (ESC) and National Institute for Health and Care Excellence (NICE) guideline referral thresholds. DESIGN AND SETTING: Diagnostic accuracy study using linked primary and secondary care data (2004 to 2018). METHOD: The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of NP testing for HF diagnosis was assessed. RESULTS: In total, 229 580 patients had an NP test and 21 102 (9.2%) were diagnosed with HF within 6 months. The ESC NT-proBNP threshold ≥125 pg/mL had a sensitivity of 94.6% (95% confidence interval [CI] = 94.2 to 95.0) and specificity of 50.0% (95% CI = 49.7 to 50.3), compared with sensitivity of 81.7% (95% CI = 81.0 to 82.3) and specificity of 80.3% (95% CI = 80.0 to 80.5) for the NICE NT-proBNP ≥400 pg/mL threshold. PPVs for an NT-proBNP test were 16.4% (95% CI = 16.1 to 16.6) and 30.0% (95% CI = 29.6 to 30.5) for ESC and NICE thresholds, respectively. For both guidelines, nearly all patients with an NT-proBNP level below the threshold did not have HF (NPV: ESC 98.9%, 95% CI = 98.8 to 99.0 and NICE 97.7%, 95% CI = 97.6 to 97.8). CONCLUSION: At the higher NICE chronic HF guideline NP thresholds, one in five cases are initially missed in primary care but the lower ESC thresholds require more diagnostic assessments. NP is a reliable 'rule-out' test at both cut-points. The optimal NP threshold will depend on the priorities and capacity of the healthcare system.

A Systematic Review of Economic Aspects of Service Interventions to Increase Anticoagulation Use in Atrial Fibrillation.

OBJECTIVE: To systematically identify and appraise existing evidence surrounding economic aspects of anticoagulation service interventions for patients with atrial fibrillation. METHODS: We searched the published and grey literature up to October 2019 to identify relevant economic evidence in any health care setting. A narrative-synthesis approach was taken to summarise evidence by economic design and type of service intervention, with costs expressed in pound sterling and valued at 2017 to 2018 prices. RESULTS: A total of 13 studies met our inclusion criteria from 1,168 papers originally identified. Categories of interventions included anticoagulation clinics (n = 4), complex interventions (n = 4), decision support tools (n = 3) and patient-centred approaches (n = 2). Anticoagulation clinics were cost-saving compared with usual care (range for mean cost difference: £188-£691 per-patient per-year) with equivalent health outcomes. Only one economic evaluation of a complex intervention was conducted; case management was more expensive than usual care (mean cost difference: £255 per-patient per-year) and the probability of its cost-effectiveness did not exceed 70%. There was limited economic evidence surrounding decision support tools or patient-centred approaches. Targeting service interventions at high-risk groups and those with suboptimal treatment was most likely to result in cost savings. CONCLUSION: This review revealed some evidence to support the cost-effectiveness of anticoagulation clinics. However, summative conclusions are constrained by a paucity of economic evidence, a lack of direct comparisons between interventions, and study heterogeneity in terms of intervention, comparator and study year. Further research is urgently needed to inform commissioning and service development. Data from this review can inform future economic evaluations of anticoagulation service interventions.

Natriuretic peptide level at heart failure diagnosis and risk of hospitalisation and death in England 2004-2018.

OBJECTIVE: Heart failure (HF) is a malignant condition requiring urgent treatment. Guidelines recommend natriuretic peptide (NP) testing in primary care to prioritise referral for specialist diagnostic assessment. We aimed to assess association of baseline NP with hospitalisation and mortality in people with newly diagnosed HF. METHODS: Population-based cohort study of 40 007 patients in the Clinical Practice Research Datalink in England with a new HF diagnosis (48% men, mean age 78.5 years). We used linked primary and secondary care data between 1 January 2004 and 31 December 2018 to report one-year hospitalisation and 1-year, 5-year and 10-year mortality by NP level. RESULTS: 22 085 (55%) participants were hospitalised in the year following diagnosis. Adjusted odds of HF-related hospitalisation in those with a high NP (NT-proBNP >2000 pg/mL) were twofold greater (OR 2.26 95% CI 1.98 to 2.59) than a moderate NP (NT-proBNP 400-2000 pg/mL). All-cause mortality rates in the high NP group were 27%, 62% and 82% at 1, 5 and 10 years, compared with 19%, 50% and 77%, respectively, in the moderate NP group and, in a competing risks model, risk of HF-related death was 50% higher at each timepoint. Median time between NP test and HF diagnosis was 101 days (IQR 19-581). CONCLUSIONS: High baseline NP is associated with increased HF-related hospitalisation and poor survival. While healthcare systems remain under pressure from the impact of COVID-19, research to test novel strategies to prevent hospitalisation and improve outcomes-such as a mandatory two-week HF diagnosis pathway-is urgently needed.

Long term trends in natriuretic peptide testing for heart failure in UK primary care: a cohort study.

AIMS: Heart failure (HF) is a malignant condition with poor outcomes and is often diagnosed on emergency hospital admission. Natriuretic peptide (NP) testing in primary care is recommended in international guidelines to facilitate timely diagnosis. We aimed to report contemporary trends in NP testing and subsequent HF diagnosis rates over time. METHODS AND RESULTS: Cohort study using linked primary and secondary care data of adult (≥45 years) patients in England 2004-18 (n = 7 212 013, 48% male) to report trends in NP testing (over time, by age, sex, ethnicity, and socioeconomic status) and HF diagnosis rates. NP test rates increased from 0.25 per 1000 person-years [95% confidence interval (CI) 0.23-0.26] in 2004 to 16.88 per 1000 person-years (95% CI 16.73-17.03) in 2018, with a significant upward trend in 2010 following publication of national HF guidance. Women and different ethnic groups had similar test rates, and there was more NP testing in older and more socially deprived groups as expected. The HF detection rate was constant over the study period (around 10%) and the proportion of patients without NP testing prior to diagnosis remained high [99.6% (n = 13 484) in 2004 vs. 76.7% (n = 12 978) in 2017]. CONCLUSION: NP testing in primary care has increased over time, with no evidence of significant inequalities, but most patients with HF still do not have an NP test recorded prior to diagnosis. More NP testing in primary care may be needed to prevent hospitalization and facilitate HF diagnosis at an earlier, more treatable stage.

Identifying patterns in unplanned hospital admissions during the COVID-19 pandemic: a single-centre retrospective study.

BACKGROUND: Countries with a high prevalence of COVID-19 have identified a reduction in crude hospital admission rates for non-COVID-19 conditions during the pandemic. There remains a paucity of such data from lower prevalence countries, including Australia. AIMS: To describe the patterns of unplanned hospital daily admission rates during the COVID-19 pandemic in a major Australian metropolitan hospital, with a focus on acute medical presentations including acute coronary syndrome (ACS), stroke and falls. METHODS: This single-centre retrospective analysis analysed hospital admission episodes between 1 March and 30 April 2020 (COVID-19-era) and compared this to a historical cohort during the same period between 2017 and 2019 (pre-COVID-19). Information collected included total admission rates and patient characteristics for ACS, stroke and falls patients. RESULTS: A total of 12 278 unplanned admissions was identified across the study period. The daily admission rate was lower in the COVID-19-era compared with pre-COVID-19 (46.59 vs 51.56 days, P < 0.001). There was also a reduced average daily admission rate for falls (7.79 vs 9.95 days, P < 0.001); however, similar admission rates for ACS (1.52 vs 1.49 days, P = 0.83) and stroke (1.56 vs 1.76 days, P = 0.33). CONCLUSIONS: Public health interventions have been effective in reducing domestic cases of COVID-19 in Australia. At our tertiary metropolitan hospital, we have observed a significant reduction in unplanned hospital admission rates during the COVID-19-era, particularly for falls. Public health messaging needs to focus on educating the public how to seek medical care safely and promptly in the context of the ongoing COVID-19 crisis.

Survival of people with valvular heart disease in a large, English community-based cohort study.

OBJECTIVE: Valvular heart disease (VHD) is present in half the population aged >65 years but is usually mild and of uncertain importance. We investigated the association between VHD and its phenotypes with all-cause and cause-specific mortality. METHODS: The OxVALVE (Oxford Valvular Heart Disease) population cohort study screened 4009 participants aged >65 years to establish the presence and severity of VHD. We linked data to a national mortality registry and undertook detailed outcome analysis. RESULTS: Mortality data were available for 3511 participants, of whom 361 (10.3%) died (median 6.49 years follow-up). Most had some form of valve abnormality (n=2645, 70.2%). In adjusted analyses, neither mild VHD (prevalence 44.9%) nor clinically significant VHD (moderate or severe stenosis or regurgitation; 5.2%) was associated with increased all-cause mortality (HR 1.20, 95% CI 0.96 to 1.51 and HR 1.47, 95% CI 0.94 to 2.31, respectively). Conversely, advanced aortic sclerosis (prevalence 2.25%) and advanced mitral annular calcification (MAC, 1.31%) were associated with an increased risk of death (HR 2.05, 95% CI 1.28 to 3.30 and HR 2.51, 95% CI 1.41 to 4.49, respectively). Mortality was highest for people with both clinically significant VHD and advanced aortic sclerosis or MAC (HR 4.38, 95% CI 1.99 to 9.67). CONCLUSIONS: Advanced aortic sclerosis or MAC is associated with a worse outcome, particularly for patients with significant VHD, but also in the absence of other VHD. Older patients with mild VHD can be reassured about their prognosis. The absence of an association between significant VHD and mortality may reflect its relatively low prevalence in our cohort.

Joint Associations Between Body Mass Index and Waist Circumference With Atrial Fibrillation in Men and Women.

Background Associations between adiposity and atrial fibrillation (AF) might differ between sexes. We aimed to determine precise estimates of the risk of AF by body mass index (BMI) and waist circumference (WC) in men and women. Methods and Results Between 2008 and 2013, over 3.2 million adults attended commercial screening clinics. Participants completed health questionnaires and underwent physical examination along with cardiovascular investigations, including an ECG. We excluded those with cardiovascular and cardiac disease. We used multivariable logistic regression and determined joint associations of BMI and WC and the risk of AF in men and women by comparing likelihood ratio χ2 statistics. Among 2.1 million included participants 12 067 (0.6%) had AF. A positive association between BMI per 5 kg/m2 increment and AF was observed, with an odds ratio of 1.65 (95% CI, 1.57-1.73) for men and 1.36 (95% CI, 1.30-1.42) for women among those with a BMI above 20 kg/m2. We found a positive association between AF and WC per 10 cm increment, with an odds ratio of 1.47 (95% CI, 1.36-1.60) for men and 1.37 (95% CI, 1.26-1.49) for women. Improvement of likelihood ratio χ2 was equal after adding BMI and WC to models with all participants. In men, WC showed stronger improvement of likelihood ratio χ2 than BMI (30% versus 23%). In women, BMI showed stronger improvement of likelihood ratio χ2 than WC (23% versus 12%). Conclusions We found a positive association between BMI (above 20 kg/m2) and AF and between WC and AF in both men and women. BMI seems a more informative measure about risk of AF in women and WC seems more informative in men.

Utility of risk prediction models to detect atrial fibrillation in screened participants.

AIMS: Atrial fibrillation (AF) is associated with higher risk of stroke. While the prevalence of AF is low in the general population, risk prediction models might identify individuals for selective screening of AF. We aimed to systematically identify and compare the utility of established models to predict prevalent AF. METHODS AND RESULTS: Systematic search of PubMed and EMBASE for risk prediction models for AF. We adapted established risk prediction models and assessed their predictive performance using data from 2.5M individuals who attended vascular screening clinics in the USA and the UK and in the subset of 1.2M individuals with CHA2DS2-VASc ≥2. We assessed discrimination using area under the receiver operating characteristic (AUROC) curves and agreement between observed and predicted cases using calibration plots. After screening 6959 studies, 14 risk prediction models were identified. In our cohort, 10 464 (0.41%) participants had AF. For discrimination, six prediction model had AUROC curves of 0.70 or above in all individuals and those with CHA2DS2-VASc ≥2. In these models, calibration plots showed very good concordance between predicted and observed risks of AF. The two models with the highest observed prevalence in the highest decile of predicted risk, CHARGE-AF and MHS, showed an observed prevalence of AF of 1.6% with a number needed to screen of 63. Selective screening of the 10% highest risk identified 39% of cases with AF. CONCLUSION: Prediction models can reliably identify individuals at high risk of AF. The best performing models showed an almost fourfold higher prevalence of AF by selective screening of individuals in the highest decile of risk compared with systematic screening of all cases. REGISTRATION: This systematic review was registered (PROSPERO CRD42019123847).

Risk of adverse coronavirus disease 2019 outcomes for people living with HIV.

OBJECTIVE: To assess whether people living with HIV (PLWH) are at increased risk of coronavirus disease 2019 (COVID-19) mortality or adverse outcomes, and whether antiretroviral therapy (ART) influences this risk. DESIGN: Rapid review with meta-analysis and narrative synthesis. METHODS: We searched databases including Embase, Medline, medRxiv and Google Scholar up to 26 August 2020 for studies describing COVID-19 outcomes in PLWH and conducted a meta-analysis of higher quality studies. RESULTS: We identified 1908 studies and included 19 in the review. In a meta-analysis of five studies, PLWH had a higher risk of COVID-19 mortality [hazard ratio 1.95, 95% confidence interval (CI): 1.62-2.34] compared with people without HIV. Risk of death remained elevated for PLWH in a subgroup analysis of hospitalized cohorts (hazard ratio 1.60, 95% CI: 1.12-2.27) and studies of PLWH across all settings (hazard ratio 2.08, 95% CI: 1.69-2.56). Eight other studies assessed the association between HIV and COVID-19 outcomes, but provided inconclusive, lower quality evidence due to potential confounding and selection bias. There were insufficient data on the effect of CD4+ T-cell count and HIV viral load on COVID-19 outcomes. Eleven studies reported COVID-19 outcomes by ART-regimen. In the two largest studies, tenofovir disoproxil fumarate-based regimens were associated with a lower risk of adverse COVID-19 outcomes, although these analyses are susceptible to confounding by co-morbidities. CONCLUSION: Emerging evidence suggests a moderately increased risk of COVID-19 mortality among PLWH. Further investigation into the relationship between COVID-19 outcomes and CD4+ T-cell count, HIV viral load, ART and the use of tenofovir disoproxil fumarate is warranted.

Association Between Blood Pressure Control and Coronavirus Disease 2019 Outcomes in 45 418 Symptomatic Patients With Hypertension: An Observational Cohort Study.

Hypertension has been identified as a risk factor for coronavirus disease 2019 (COVID-19) and associated adverse outcomes. This study examined the association between preinfection blood pressure (BP) control and COVID-19 outcomes using data from 460 general practices in England. Eligible patients were adults with hypertension who were tested or diagnosed with COVID-19. BP control was defined by the most recent BP reading within 24 months of the index date (January 1, 2020). BP was defined as controlled (<130/80 mm Hg), raised (130/80-139/89 mm Hg), stage 1 uncontrolled (140/90-159/99 mm Hg), or stage 2 uncontrolled (≥160/100 mm Hg). The primary outcome was death within 28 days of COVID-19 diagnosis. Secondary outcomes were COVID-19 diagnosis and COVID-19-related hospital admission. Multivariable logistic regression was used to examine the association between BP control and outcomes. Of the 45 418 patients (mean age, 67 years; 44.7% male) included, 11 950 (26.3%) had controlled BP. These patients were older, had more comorbidities, and had been diagnosed with hypertension for longer. A total of 4277 patients (9.4%) were diagnosed with COVID-19 and 877 died within 28 days. Individuals with stage 1 uncontrolled BP had lower odds of COVID-19 death (odds ratio, 0.76 [95% CI, 0.62-0.92]) compared with patients with well-controlled BP. There was no association between BP control and COVID-19 diagnosis or hospitalization. These findings suggest BP control may be associated with worse COVID-19 outcomes, possibly due to these patients having more advanced atherosclerosis and target organ damage. Such patients may need to consider adhering to stricter social distancing, to limit the impact of COVID-19 as future waves of the pandemic occur.

National trends in heart failure mortality in men and women, United Kingdom, 2000-2017.

AIMS: To understand gender differences in the prognosis of women and men with heart failure, we compared mortality, cause of death and survival trends over time. METHODS AND RESULTS: We analysed UK primary care data for 26 725 women and 29 234 men over age 45 years with a new diagnosis of heart failure between 1 January 2000 and 31 December 2017 using the Clinical Practice Research Datalink, inpatient Hospital Episode Statistics and the Office for National Statistics death registry. Age-specific overall survival and cause-specific mortality rates were calculated by gender and year. During the study period 15 084 women and 15 822 men with heart failure died. Women were on average 5 years older at diagnosis (79.6 vs. 74.8 years). Median survival was lower in women compared to men (3.99 vs. 4.47 years), but women had a 14% age-adjusted lower risk of all-cause mortality [hazard ratio (HR) 0.86, 95% confidence interval (CI) 0.84-0.88]. Heart failure was equally likely to be cause of death in women and men (HR 1.03, 95% CI 0.96-1.12). There were modest improvements in survival for both genders, but these were greater in men. The reduction in mortality risk in women was greatest for those diagnosed in the community (HR 0.83, 95% CI 0.80-0.85). CONCLUSIONS: Women are diagnosed with heart failure older than men but have a better age-adjusted prognosis. Survival gains were less in women over the last two decades. Addressing gender differences in heart failure diagnostic and treatment pathways should be a clinical and research priority.

Disability and visual outcomes following suspected abusive head trauma in children under 2 years.

AIM: To report disability and visual outcomes following suspected abusive head trauma (AHT) in children under 2 years. METHODS: We present a retrospective case series (1995-2017) of children with suspected AHT aged ≤24 months. King's Outcome Score of Childhood Head Injury (KOSCHI) was used to assess disability outcomes at hospital discharge and at follow-up. The study used a retinal haemorrhage score (RHS) to record findings at presentation and a visual outcome score at follow-up. RESULTS: We included 44 children (median age 16 weeks). At presentation, 98% had a subdural haemorrhage and 93% had a retinal haemorrhage. At discharge, 61% had moderate-to-severe disability, and 34% a good recovery. A higher RHS was observed in those with more disability (r=-0.54, p=0.0002). At follow-up, 14% had a worse KOSCHI score (p=0.055). 35% children had visual impairment, including 9% with no functional vision. Those with poorer visual function had a higher RHS (r=0.53, p=0.003). 28% attended mainstream school without support; 50% were in foster care or had been adopted, 32% lived with birth mother and 18% with extended family. CONCLUSION: It is known that injuries from suspected AHT result in high levels of morbidity; our cohort showed significant rates of disability and visual impairment. Those with higher disability at discharge and poorer visual function showed more significant retinal changes. The extent of disability was not always apparent at hospital discharge, impacting on provision of prognostic information and targeted follow-up.

COVID-MATCH65-A prospectively derived clinical decision rule for severe acute respiratory syndrome coronavirus 2.

OBJECTIVES: We report on the key clinical predictors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and present a clinical decision rule that can risk stratify patients for COVID-19. DESIGN, PARTICIPANTS AND SETTING: A prospective cohort of patients assessed for COVID-19 at a screening clinic in Melbourne, Australia. The primary outcome was a positive COVID-19 test from nasopharyngeal swab. A backwards stepwise logistic regression was used to derive a model of clinical variables predictive of a positive COVID-19 test. Internal validation of the final model was performed using bootstrapped samples and the model scoring derived from the coefficients, with modelling performed for increasing prevalence. RESULTS: Of 4226 patients with suspected COVID-19 who were assessed, 2976 patients underwent SARS-CoV-2 testing (n = 108 SARS-CoV-2 positive) and were used to determine factors associated with a positive COVID-19 test. The 7 features associated with a positive COVID-19 test on multivariable analysis were: COVID-19 patient exposure or international travel, Myalgia/malaise, Anosmia or ageusia, Temperature, Coryza/sore throat, Hypoxia-oxygen saturation < 97%, 65 years or older-summarized in the mnemonic COVID-MATCH65. Internal validation showed an AUC of 0.836. A cut-off of ≥ 1.5 points was associated with a 92.6% sensitivity and 99.5% negative predictive value (NPV) for COVID-19. CONCLUSIONS: From the largest prospective outpatient cohort of suspected COVID-19 we define the clinical factors predictive of a positive SARS-CoV-2 test. The subsequent clinical decision rule, COVID-MATCH65, has a high sensitivity and NPV for SARS-CoV-2 and can be employed in the pandemic, adjusted for disease prevalence, to aid COVID-19 risk-assessment and vital testing resource allocation.

Obesity, self-reported symptom severity, and quality of life in people with atrial fibrillation: A community-based cross-sectional survey.

BACKGROUND AND AIMS: Intentional weight loss may reduce symptom severity of atrial fibrillation (AF) in relatively young AF patients with overweight. We examined whether symptom severity and quality of life (QoL) are associated with weight status in the general population with AF. METHODS AND RESULTS: Patients with electrocardiogram-confirmed AF completed validated questionnaires: the EuroQol 5 Dimensions QoL questionnaire and the Toronto Atrial Fibrillation Severity Scale (AFSS). The AFSS assessed the AF burden scoring on AF-related symptoms and the total AF burden measured as a combination of duration, frequency, and severity of an irregular heartbeat. Generalized liner models examined the association of body mass index (BMI) with AF severity and QoL adjusting for confounders. Between 2018 and 2019, 882 of 1901 (46%) mailed questionnaires were returned completed. Participants had a mean (SD) age of 74 (10) years old and a BMI of 27.4 (5.6) kg/m2. Sixteen percent reported having never experienced an irregular heartbeat. A 5 kg/m2 higher BMI was associated with a 0.65 (95%CI: 0.25 to 1.06) higher symptom score, where 3 points represent a clinically relevant change in state. A 5 kg/m2 higher BMI was associated with a -1.61 (95%CI: -2.72 to -0.50) lower QoL score. The coefficient of the total AF burden for a 5 kg/m2 higher BMI was 0.17 (95% CI: -0.01 to 0.68). CONCLUSION: BMI was positively associated with symptoms and negatively associated with one of the two measures of QoL, but not with the total AF burden. However, the strength of association was small and not clinically meaningful.