9 research outputs found

    Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

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    Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability

    Pain Severity and Smoking Abstinence Expectancies among Latinx Individuals Who Smoke Cigarettes: The Moderating Role of Perceived Discrimination

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    Latinx individuals experience significant health disparities related to smoking cessation in the United States (US). Although past works have consistently implicated pain in the maintenance of smoking behavior, limited research has examined the role of social determinants (e.g., perceived discrimination) in pain–smoking relations. The current study sought to examine the moderating role of perceived discrimination in the relation between pain severity and smoking abstinence expectancies (i.e., a cognitive factor related to poor smoking outcomes) among 226 Latinx individuals who currently smoke cigarettes (Mage = 34.95 years; SD = 8.62; 38.5% female). The results indicated a statistically significant interaction between pain severity and perceived discrimination with regard to smoking abstinence expectancies (i.e., negative mood, somatic symptoms, harmful consequences, and positive consequences). Post-hoc analyses revealed the association of pain severity and negative mood, harmful consequences, and positive consequences smoking abstinence expectancies evident for individuals with higher perceived discrimination. Moreover, the association between pain severity and somatic symptoms smoking abstinence expectancies was stronger for individuals with higher perceived discrimination. Overall, these results suggest that clinical and community-based public health strategies may benefit from addressing the role of perceived discrimination among Latinx individuals who smoke cigarettes in the context of pain

    Mobile Intervention to Address Cannabis Use Disorder Among Black Adults: Protocol for a Randomized Controlled Trial

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    BackgroundAfrican American or Black (hereafter referred to as Black) adults who use cannabis use it more frequently and are more likely to meet criteria for cannabis use disorder (CUD) than both White and Hispanic or Latin individuals. Black adults may be more apt to use cannabis to cope with distress, which constitutes a false safety behavior (FSB; a behavior designed to reduce psychological distress in the short term). Although FSB engagement can perpetuate the cycle of high rates of CUD among Black individuals, limited work has applied an FSB elimination treatment approach to Black adults with CUD, and no previous work has evaluated FSB reduction or elimination in the context of a culturally tailored and highly accessible treatment developed for Black individuals. ObjectiveThis study aims to develop and pilot-test a culturally tailored adaptive intervention that integrates FSB reduction or elimination skills for cannabis reduction or cessation among Black adults with probable CUD (Culturally Tailored-Mobile Integrated Cannabis and Anxiety Reduction Treatment [CT-MICART]). MethodsBlack adults with probable CUD (N=50) will complete a web-based screener, enrollment call, baseline assessment, 3 daily ecological momentary assessments (EMAs) for 6 weeks, and a follow-up self-report assessment and qualitative interview at 6 weeks after randomization. Participants will be randomized into 1 out of the 2 conditions after baseline assessment: (1) CT-MICART+EMAs for 6 weeks or (2) EMAs only for 6 weeks. ResultsThe enrollment started in June 2023 and ended in November 2023. Data analysis will be completed in March 2024. ConclusionsNo culturally tailored, evidence-based treatment currently caters to the specific needs of Black individuals with CUD. This study will lay the foundation for a new approach to CUD treatment among Black adults that is easily accessible and has the potential to overcome barriers to treatment and reduce practitioner burden in order to support Black individuals who use cannabis with probable CUD. Trial RegistrationClinicalTrials.gov NCT05566730; https://clinicaltrials.gov/study/NCT05566730 International Registered Report Identifier (IRRID)DERR1-10.2196/5277

    Latinx Individuals Who Smoke Daily with and without a Probable Anxiety Disorder: Differences in Smoking Behavior and Beliefs about Abstinence

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    There is a well-established relation between anxiety psychopathology and smoking in the general population. However, little work focuses on Latinx/Hispanic (hereafter Latinx) persons who smoke from this comorbidity perspective. The present investigation aimed to explore differences among English-speaking Latinx adults who live in the United States (US) and smoke cigarettes with and without a probable anxiety disorder in terms of cigarette dependence, perceived barriers for quitting, severity of problems when quitting, and smoking abstinence expectancies. The sample included 338 adult Latinx daily cigarette smokers (Mage = 35.53 years; SD = 8.65; age range 18–61; 37.3% female) who identified as Latinx and were recruited nationally throughout the US. Results indicated that among Latinx persons who smoke, those with a probable anxiety disorder (compared to those without) were more likely to demonstrate higher levels of cigarette dependence, severity of problems when trying to quit, perceived barriers for quitting, and negative abstinence expectancies after adjusting for key variables linked to smoking and anxiety (e.g., hazardous drinking, education). The current findings are the first to document probable anxiety disorder status as a clinically relevant factor for a wide range of smoking variables and beliefs about abstinence among Latinx persons who smoke

    Is the UK preparing for “war”? Military metaphors, personal carbon allowances, and consumption rationing in historical perspective

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

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    Altres ajuts: Department of Health and Social Care (DHSC); Illumina; LifeArc; Medical Research Council (MRC); UKRI; Sepsis Research (the Fiona Elizabeth Agnew Trust); the Intensive Care Society, Wellcome Trust Senior Research Fellowship (223164/Z/21/Z); BBSRC Institute Program Support Grant to the Roslin Institute (BBS/E/D/20002172, BBS/E/D/10002070, BBS/E/D/30002275); UKRI grants (MC_PC_20004, MC_PC_19025, MC_PC_1905, MRNO2995X/1); UK Research and Innovation (MC_PC_20029); the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z); the Edinburgh Clinical Academic Track (ECAT) programme; the National Institute for Health Research, the Wellcome Trust; the MRC; Cancer Research UK; the DHSC; NHS England; the Smilow family; the National Center for Advancing Translational Sciences of the National Institutes of Health (CTSA award number UL1TR001878); the Perelman School of Medicine at the University of Pennsylvania; National Institute on Aging (NIA U01AG009740); the National Institute on Aging (RC2 AG036495, RC4 AG039029); the Common Fund of the Office of the Director of the National Institutes of Health; NCI; NHGRI; NHLBI; NIDA; NIMH; NINDS.Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care or hospitalization 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
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