Testing a peer support intervention for people with type 2 diabetes: a pilot for a randomised controlled trial.

BACKGROUND: People with Type 2 diabetes face various psycho-social, self-management and clinical care issues and evidence is mixed whether support from others with diabetes, 'peer support', can help. We now describe a 2 month pilot study of different peer support interventions. METHODS: The intervention was informed by formative evaluation using semi-structured interviews with health professionals, community support groups and observation of diabetes education and support groups. Invitations to participate were mailed from 4 general practices and included a survey of barriers to care. Participants were randomized by practice to receive individual, group, combined (both individual and group) or no peer support. Evaluation included ethnographic observation, semi-structured interviews and questionnaires at baseline and post-intervention. RESULTS: Of 1,101 invited, 15% expressed an interest in participating in the pilot. Sufficient numbers volunteered to become peer supporters, although 50% of these (8/16) withdrew. Those in the pilot were similar to other patients, but were less likely to feel they knew enough about diabetes (60.8% vs 44.6% p = 0.035) and less likely to be happy with the diabetes education/care to date (75.4% vs 55.4% p = 0.013). Key issues identified were the need to recruit peer supporters directly rather than through clinicians, to address participant diabetes educational needs early and the potential for group sessions to have lower participation rates than 1:1 sessions. CONCLUSIONS: Recruitment to a full trial of peer support within the existing study design is feasible with some amendments. Attendance emerged as a key issue needing close monitoring and additional intervention during the trial.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707

Testing a peer support intervention for people with type 2 diabetes: a pilot for a randomised controlled trial

Abstract Background: People with Type 2 diabetes face various psycho-social, self-management and clinical care issues and evidence is mixed whether support from others with diabetes, 'peer support', can help. We now describe a 2 month pilot study of different peer support interventions. Methods: The intervention was informed by formative evaluation using semi-structured interviews with health professionals, community support groups and observation of diabetes education and support groups. Invitations to participate were mailed from 4 general practices and included a survey of barriers to care. Participants were randomized by practice to receive individual, group, combined (both individual and group) or no peer support. Evaluation included ethnographic observation, semi-structured interviews and questionnaires at baseline and post-intervention. Results: Of 1,101 invited, 15% expressed an interest in participating in the pilot. Sufficient numbers volunteered to become peer supporters, although 50% of these (8/16) withdrew. Those in the pilot were similar to other patients, but were less likely to feel they knew enough about diabetes (60.8% vs 44.6% p = 0.035) and less likely to be happy with the diabetes education/care to date (75.4% vs 55.4% p = 0.013). Key issues identified were the need to recruit peer supporters directly rather than through clinicians, to address participant diabetes educational needs early and the potential for group sessions to have lower participation rates than 1:1 sessions. Conclusions: Recruitment to a full trial of peer support within the existing study design is feasible with some amendments. Attendance emerged as a key issue needing close monitoring and additional intervention during the trial

Mapping the human genetic architecture of COVID-19

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3–7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease