Health outcome priorities of people with multiple long-term conditions before and during the COVID-19 pandemic: Survey data from the UK (preprint)

Background The outcome prioritisation tool (OPT) is a simple tool to ascertain the health outcome priorities of people with MLTC. Use of this tool in people aged under 65 years with MLTC has not previously been investigated. This study investigated the feasibility of using the OPT in people with MLTC aged 45 years or above, in a multi-ethnic primary-care setting, to describe the health outcome priorities of people with MLTC by age, clusters of long-term conditions and demographic factors, and to investigate any differences in prioritisation in light of the COVID-19 pandemic. Methods This was a multi-centre cross-sectional study using a questionnaire for online self-completion by people aged 45 years or above with MLTC in 19 primary care settings across the East Midlands, UK. Participants were asked to complete the OPT twice, first from their current perspective and second from their recollection of their priorities prior to COVID-19. Results The questionnaire was completed by 2,454 people with MLTC. The majority of participants agreed or strongly agreed that the OPT was easy to complete, relevant to their healthcare and will be useful in communicating priorities to their doctor. Summary scores for the whole cohort of participants showed Keeping Alive and Maintaining Independence receiving the highest scores. Statistically significant differences in prioritisation by age, clusters of long-term conditions and employment status were observed, with respondents aged over 65 most likely to prioritise Maintaining independence, and respondents aged under 65 most likely to prioritise Keeping alive. There were no differences before or after COVID-19, or by ethnicity. Conclusions The OPT is feasible and acceptable for use to elicit the health outcome priorities of people with MLTC across both middle-aged and older age groups and in a UK setting. Individual factors could influence the priorities of people with MLTC and must be considered by clinicians during consultations.

Indirect Impact of the COVID-19 Pandemic on Hospitalisations For Cardiometabolic Conditions and Their Management: A Systematic Review (preprint)

Background: The Coronavirus disease 2019 (COVID-19) pandemic has led to a dramatic crisis in health care systems worldwide. These may have significant implications for the management of cardiometabolic diseases. We conducted a systematic review of published evidence to assess the indirect impact of the COVID-19 pandemic on hospitalisations for cardiovascular diseases and their management.Methods: Studies that evaluated volume of hospitalisations for cardiometabolic conditions and their management with comparisons between the COVID-19 and pre-COVID periods were identified from MEDLINE, Embase and the reference list of relevant studies from January 2020 to 25 February 2021. Results: We identified 103 observational studies, with most studies assessing hospitalisations for acute cardiovascular conditions such as acute coronary syndrome, ischemic strokes and heart failure. About 89% of studies reported a decline in hospitalisations during the pandemic compared to pre-pandemic times, with reductions ranging from 20.2 to 73%. Severe presentation, less utilization of cardiovascular procedures, and longer patient- and healthcare-related delays were common during the pandemic. Most studies reported shorter length of hospital stay during the pandemic than before the pandemic (1-8 vs 2-12 days) or no difference in length of stay. Most studies reported no change in in-hospital mortality among hospitalised patients.Conclusion: Routine and ongoing clinical care of patients for acute cardiovascular conditions, their management and outcomes have been adversely impacted by the COVID-19 pandemic. Patients should be educated via population-wide approaches on the need for timely medical contact and health systems should put strategies in place to provide timely care to patients at high risk. 

Patterns of Multimorbidity and Risk of Severe SARS-CoV-2 Infection: an observational study in the U.K. (preprint)

Background Pre-existing comorbidities have been linked to SARS-CoV-2 infection but evidence is sparse on the importance and pattern of multimorbidity (2 or more conditions) and severity of infection indicated by hospitalisation or mortality. We aimed to use a multimorbidity index developed specifically for COVID-19 to investigate the association between multimorbidity and risk of severe SARS-CoV-2 infection. Methods We used data from the UK Biobank linked to laboratory confirmed test results for SARS-CoV-2 infection and mortality data from Public Health England between March 16 and July 26, 2020. By reviewing the current literature on COVID-19 we derived a multimorbidity index including: 1) angina; 2) asthma; 3) atrial fibrillation; 4) cancer; 5) chronic kidney disease; 6) chronic obstructive pulmonary disease; 7) diabetes mellitus; 8) heart failure; 9) hypertension; 10) myocardial infarction; 11) peripheral vascular disease; 12) stroke. Adjusted logistic regression models were used to assess the association between multimorbidity and risk of severe SARS-CoV-2 infection (hospitalisation or death). Potential effect modifiers of the association were assessed: age, sex, ethnicity, deprivation, smoking status, body mass index, air pollution, 25-hydroxyvitamin D, cardiorespiratory fitness, high sensitivity C-reactive protein. Results Among 360,283 participants, the median age was 68 [range, 48-85] years, most were White (94.5%), and 1,706 had severe SARS-CoV-2 infection. The prevalence of multimorbidity was more than double in those with severe SARS-CoV-2 infection (25%) compared to those without (11%), and clusters of several multimorbidities were more common in those with severe SARS-CoV-2 infection. The most common clusters with severe SARS-CoV-2 infection were stroke with hypertension (79% of those with stroke had hypertension); diabetes and hypertension (72%); and chronic kidney disease and hypertension (68%). Multimorbidity was independently associated with a greater risk of severe SARS-CoV-2 infection (adjusted odds ratio 1.91 [95% confidence interval 1.70, 2.15] compared to no multimorbidity). The risk remained consistent across potential effect modifiers, except for greater risk among men. Conclusion The risk of severe SARS-CoV-2 infection is higher in individuals with multimorbidity, indicating the need to target research and resources in people with SARS-CoV-2 infection and multimorbidity.

Obesity, walking pace and risk of severe COVID-19: Analysis of UK Biobank (preprint)

Unstructured abstractObesity is an emerging risk factor for coronavirus disease-2019 (COVID-19). Simple measures of physical fitness, such as self-reported walking pace, could also be important risk factors, but have not been well documented. This analysis includes 414,201 UK Biobank participants with complete covariate and linked COVID-19 data. We analysed the risk of severe (in-hospital) COVID-19 across categories of obesity status and walking pace. As of June 20th 2020 there were 972 cases of severe COVID-19 that had occurred within the cohort. Compared to normal weight individuals, the adjusted odds ratio (OR) for severe COVID-9 in those with obesity was 1.49 (1.24, 1.78). Compared to those with a brisk walking pace, the OR in slow walkers was 1.84 (1.49, 2.27). Slow walkers had the highest risk of severe COVID-19 regardless of obesity status. For example, compared to normal weight brisk walkers, the odds of severe COVID-19 in obese brisk walkers was 1.39 (0.99, 1.98), whereas the odds in normal weight slow walkers was 2.48 (1.56, 3.93). Self-reported walking pace, a simple measure of functional fitness, appears to be a risk factor for severe COVID-19 that is independent of obesity. This may help inform simple pragmatic public health risk stratification and preventative strategies.