Motivational Interviewing Post-Stroke: An Analysis of Stroke Survivors' Concerns and Adjustment

Our earlier research demonstrated that participation in four sessions of motivational interviewing (MI) early post-stroke has a positive impact on stroke survivors' mood. However, the theoretical underpinnings of MI in supporting adjustment (rather than its traditional use in supporting behavior change) require clarification. This article describes a content analysis of MI transcripts for 10 participants in our previous study, to identify the focus of discussions (patient "concerns") and potential effective components of our MI approach. Patients' post-stroke concerns were shown in 16 categories, including frustration, family impact, and getting well. There was a pattern of change discourse across sessions: "Sustain talk" (reasons for not changing) reduced from Session 1 onward, "change talk" (intent to change) increased then reduced, and "change expressed" (changes achieved) increased from Sessions 1 to 4. MI facilitates healthy adjustment post-stroke in some patients, in turn affecting mood, but clarification of how this effect is achieved requires further exploration

Parallel-Serial Memoing: A Novel Approach to Analyzing Qualitative Data

The mechanisms by which talking therapies exert their beneficial effects are largely unknown. In exploring the process of a talking therapy, motivational interviewing (MI), when used to treat and prevent low mood in stroke survivors, we developed, what we believe to be, a novel approach to analyzing transcripts. We illustrate the method using qualitative data from MI sessions with 10 stroke survivors. The approach, drawing on grounded theory, incorporated processes of parallel and serial memoing among a team of researchers to allow a process of validation. This enabled us to describe session content and to develop theoretical interpretations of what was occurring in and across MI sessions. We found that this process can be used to integrate different perspectives in theory building, allowing for a richer description and more robust theoretical interpretation. Others can use and adapt this approach to develop insights into their own inquiry

Genetic predisposition to mosaic Y chromosome loss in blood.

Mosaic loss of chromosome Y (LOY) in circulating white blood cells is the most common form of clonal mosaicism1-5, yet our knowledge of the causes and consequences of this is limited. Here, using a computational approach, we estimate that 20% of the male population represented in the UK Biobank study (n = 205,011) has detectable LOY. We identify 156 autosomal genetic determinants of LOY, which we replicate in 757,114 men of European and Japanese ancestry. These loci highlight genes that are involved in cell-cycle regulation and cancer susceptibility, as well as somatic drivers of tumour growth and targets of cancer therapy. We demonstrate that genetic susceptibility to LOY is associated with non-haematological effects on health in both men and women, which supports the hypothesis that clonal haematopoiesis is a biomarker of genomic instability in other tissues. Single-cell RNA sequencing identifies dysregulated expression of autosomal genes in leukocytes with LOY and provides insights into why clonal expansion of these cells may occur. Collectively, these data highlight the value of studying clonal mosaicism to uncover fundamental mechanisms that underlie cancer and other ageing-related diseases.This research has been conducted using the UK Biobank Resource under application 9905 and 19808. This work was supported by the Medical Research Council [Unit Programme number MC_UU_12015/2]. Full study-specific and individual acknowledgements can be found in the supplementary information

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Genetic mechanisms of critical illness in COVID-19.

Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

The 12-month effects of early motivational interviewing after acute stroke:A randomized controlled trial

Background and Purpose— The purpose of this study was to determine whether motivational interviewing (MI), a patient-centered counseling technique, can benefit patients' mood and mortality poststroke. Methods— This was a single-center, open, randomized, controlled trial. The setting was a hospital with a stroke unit. Four hundred eleven consecutive patients on the stroke register were &gt;18 years old, not known to be moving out-of-area postdischarge, not receiving psychiatric or clinical psychology intervention, and were without severe cognitive or communication problems preventing participation in interviews. All patients received usual stroke care. Patients in the intervention group also received 4 individual, weekly sessions of MI. The primary outcome was the proportion of patients with normal mood measured by the 28-item General Health Questionnaire (normal &lt;5; low ≥5) using a mailed questionnaire at 12 months poststroke. Results— At 12-month follow-up (including imputed data), 37.7% patients in the control group and 48.0% patients in the intervention group had normal mood. Twenty-five (12.8%) of 195 patients in the control group and 13 (6.5%) of 199 patients in the intervention group had died. A significant benefit of motivational interviewing over usual stroke care was found for mood ( P =0.020; OR, 1.66; 95% CI, 1.08 to 2.55) and mortality ( P =0.035; OR, 2.14; 95% CI, 1.06 to 4.38). Conclusions— Results suggest that motivational interviewing improves patients' mood and reduces mortality 12 months poststroke. Clinical Trial Registration— URL: www.controlled-trials.com . Unique identifier: ISRCTN54465472. </jats:sec

The 12-Month Effects of Early Motivational Interviewing After Acute Stroke: A Randomized Controlled Trial

Background and Purpose—The purpose of this study was to determine whether motivational interviewing (MI), a patient-centered counseling technique, can benefit patients' mood and mortality poststroke. Methods—This was a single-center, open, randomized, controlled trial. The setting was a hospital with a stroke unit. Four hundred eleven consecutive patients on the stroke register were >18 years old, not known to be moving out-of-area postdischarge, not receiving psychiatric or clinical psychology intervention, and were without severe cognitive or communication problems preventing participation in interviews. All patients received usual stroke care. Patients in the intervention group also received 4 individual, weekly sessions of MI. The primary outcome was the proportion of patients with normal mood measured by the 28-item General Health Questionnaire (normal <5; low ≥5) using a mailed questionnaire at 12 months poststroke. Results—At 12-month follow-up (including imputed data), 37.7% patients in the control group and 48.0% patients in the intervention group had normal mood. Twenty-five (12.8%) of 195 patients in the control group and 13 (6.5%) of 199 patients in the intervention group had died. A significant benefit of motivational interviewing over usual stroke care was found for mood (P=0.020; OR, 1.66; 95% CI, 1.08 to 2.55) and mortality (P=0.035; OR, 2.14; 95% CI, 1.06 to 4.38). Conclusions—Results suggest that motivational interviewing improves patients' mood and reduces mortality 12 months poststroke