Dataset Information

Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study.

ABSTRACT: Unhealthy alcohol use (UAU) is known to disrupt pulmonary immune mechanisms and increase the risk of acute respiratory distress syndrome in patients with pneumonia; however, little is known about the effects of UAU on outcomes in patients with COVID-19 pneumonia. To our knowledge, this is the first observational cross-sectional study that aims to understand the effect of UAU on the severity of COVID-19. We aim to determine if UAU is associated with more severe clinical presentation and worse health outcomes related to COVID-19 and if socioeconomic status, smoking, age, BMI, race/ethnicity, and pattern of alcohol use modify the risk. In this observational cross-sectional study that took place between January 1, 2020, and December 31, 2020, we ran a digital machine learning classifier on the electronic health record of patients who tested positive for SARS-CoV-2 via nasopharyngeal swab or had two COVID-19 International Classification of Disease, 10th Revision (ICD-10) codes to identify patients with UAU. After controlling for age, sex, ethnicity, BMI, smoking status, insurance status, and presence of ICD-10 codes for cancer, cardiovascular disease, and diabetes, we then performed a multivariable regression to examine the relationship between UAU and COVID-19 severity as measured by hospital care level (ie, emergency department admission, emergency department admission with ventilator, or death). We used a predefined cutoff with optimal sensitivity and specificity on the digital classifier to compare disease severity in patients with and without UAU. Models were adjusted for age, sex, race/ethnicity, BMI, smoking status, and insurance status. Each incremental increase in the predicted probability from the digital alcohol classifier was associated with a greater odds risk for more severe COVID-19 disease (odds ratio 1.15, 95% CI 1.10-1.20). We found that patients in the unhealthy alcohol group had a greater odds risk to develop more severe disease (odds ratio 1.89, 95% CI 1.17-3.06), suggesting that UAU was associated with an 89% increase in the odds of being in a higher severity category. In patients infected with SARS-CoV-2, UAU is an independent risk factor associated with greater disease severity and/or death.

SUBMITTER: Bhalla S

PROVIDER: S-EPMC8575002 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study.

Bhalla Sameer S Sharma Brihat B Smith Dale D Boley Randy R McCluskey Connor C Ilyas Yousaf Y Afshar Majid M Balk Robert R Karnik Niranjan N Keshavarzian Ali A

JMIR public health and surveillance 20211105 11

<h4>Background</h4>Unhealthy alcohol use (UAU) is known to disrupt pulmonary immune mechanisms and increase the risk of acute respiratory distress syndrome in patients with pneumonia; however, little is known about the effects of UAU on outcomes in patients with COVID-19 pneumonia. To our knowledge, this is the first observational cross-sectional study that aims to understand the effect of UAU on the severity of COVID-19.<h4>Objective</h4>We aim to determine if UAU is associated with more severe ...[more]

PMID: 34665758

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Project description:BackgroundHealth professionals' training is a key element to address unhealthy alcohol use in Primary Care (PC). Education about alcohol use can be effective in improving PC provider's knowledge and skills addressing alcohol-related problems. The aim of the study was to evaluate the training of health professionals to address unhealthy alcohol use in PC.MethodsAn observational, descriptive, cross-sectional, multicenter study was performed.LocationPC centres of the Spanish National Health System (SNHS).ParticipantsFamily physicians, residents and nurses completed an online questionnaire that inquired about their training (none, basic, medium or advanced), knowledge and preventive practices aimed at reducing unhealthy alcohol use. The study population was recruited via random sampling, stratified by the regions of the SNHS's PC centre, and by email invitation to members of two Spanish scientific societies of Family Medicine.ResultsA total of 1760 professionals participated in the study. Sixty-seven percent (95% CI: 67.5-71.8) reported not having received specific training to address unhealthy alcohol use, 30% (95% CI: 27.4-31.7) reported having received basic training, and 3% (95% CI: 2.3-4.0) medium/advanced training. The training received was greater in younger providers (p < 0.001) who participated in the PAPPS (Preventive Activities and Health Promotion Programme) (p < 0.001). Higher percentages of providers with intermediate or advanced training reported performing screening for unhealthy alcohol use (p < 0.001), clinical assessment of alcohol consumption (p < 0.001), counselling of patients to reduce their alcohol intake (p < 0.001) or to abstain, in the cases of pregnant women and drivers (p < 0.001).ConclusionOur study reveals a low level of training among Spanish PC providers to address unhealthy alcohol use. A higher percentage of screening, clinical assessment and counselling interventions aimed at reducing unhealthy alcohol use was reported by health professionals with an intermediate or advanced level of training.

Project description:BackgroundThe COVID-19 pandemic has exacerbated health inequities in the United States. People with unhealthy opioid use (UOU) may face disproportionate challenges with COVID-19 precautions, and the pandemic has disrupted access to opioids and UOU treatments. UOU impairs the immunological, cardiovascular, pulmonary, renal, and neurological systems and may increase severity of outcomes for COVID-19.ObjectiveWe applied machine learning techniques to explore clinical presentations of hospitalized patients with UOU and COVID-19 and to test the association between UOU and COVID-19 disease severity.MethodsThis retrospective, cross-sectional cohort study was conducted based on data from 4110 electronic health record patient encounters at an academic health center in Chicago between January 1, 2020, and December 31, 2020. The inclusion criterion was an unplanned admission of a patient aged ≥18 years; encounters were counted as COVID-19-positive if there was a positive test for COVID-19 or 2 COVID-19 International Classification of Disease, Tenth Revision codes. Using a predefined cutoff with optimal sensitivity and specificity to identify UOU, we ran a machine learning UOU classifier on the data for patients with COVID-19 to estimate the subcohort of patients with UOU. Topic modeling was used to explore and compare the clinical presentations documented for 2 subgroups: encounters with UOU and COVID-19 and those with no UOU and COVID-19. Mixed effects logistic regression accounted for multiple encounters for some patients and tested the association between UOU and COVID-19 outcome severity. Severity was measured with 3 utilization metrics: low-severity unplanned admission, medium-severity unplanned admission and receiving mechanical ventilation, and high-severity unplanned admission with in-hospital death. All models controlled for age, sex, race/ethnicity, insurance status, and BMI.ResultsTopic modeling yielded 10 topics per subgroup and highlighted unique comorbidities associated with UOU and COVID-19 (eg, HIV) and no UOU and COVID-19 (eg, diabetes). In the regression analysis, each incremental increase in the classifier's predicted probability of UOU was associated with 1.16 higher odds of COVID-19 outcome severity (odds ratio 1.16, 95% CI 1.04-1.29; P=.009).ConclusionsAmong patients hospitalized with COVID-19, UOU is an independent risk factor associated with greater outcome severity, including in-hospital death. Social determinants of health and opioid-related overdose are unique comorbidities in the clinical presentation of the UOU patient subgroup. Additional research is needed on the role of COVID-19 therapeutics and inpatient management of acute COVID-19 pneumonia for patients with UOU. Further research is needed to test associations between expanded evidence-based harm reduction strategies for UOU and vaccination rates, hospitalizations, and risks for overdose and death among people with UOU and COVID-19. Machine learning techniques may offer more exhaustive means for cohort discovery and a novel mixed methods approach to population health.

Project description:BackgroundEmergency Departments (EDs) are important arenas for the detection of unhealthy substance use. Screening, Brief Intervention, and Referral to Treatment (SBIRT) for unhealthy alcohol use has been used in some ED settings with funding support from external sources. However, widespread sustained implementation is uncommon, and research aimed at understanding culture as a determinant for implementation is lacking. This study aims to explore cultural practices concerning the handling of patients with unhealthy alcohol use admitted to an ED.MethodsAn ethnographic study was conducted in an ED in the Capital Region of Denmark. The data consists of participant observations of Health Care Professionals (HCPs) and semi-structured interviews with nurses. Data was collected from July 2018 to February 2020. A cultural analysis was performed by using Qualitative Content Analysis as an analytic tool.Results150 h of observation and 11 interviews were conducted. Three themes emerged from the analysis: (1) Setting the scene describes how subthemes "flow," "risky environment," and "physical spaces and artefacts" are a part of the contextual environment of an ED, and their implications for patients with unhealthy alcohol use, such as placement in certain rooms; (2) The encounter presents how patients' and HCPs' encounters unfold in everyday practice. Subtheme "Professional differences" showcases how nurses and doctors address patients' alcohol habits differently, and how they do not necessarily act on the information provided, due to several factors. These factors are shown in remaining sub-themes "gut-feeling vs. clinical parameters," "ethical reasoning," and "from compliance to zero-tolerance"; and (3) Collective repertoires shows how language shapes the perception of patients with unhealthy alcohol use, which may cause stigma and stereotyping. Subthemes are "occupiers" and "alcoholic or party animal?".ConclusionsUnhealthy alcohol use in the ED is entangled in complex cultural networks. Patients with severe and easily recognizable unhealthy alcohol use-characterized by an alcohol diagnosis in the electronic medical record, intoxication, or unwanted behavior-shape the general approach and attitude to unhealthy alcohol use. Consequently, from a prevention perspective, this means that patients with less apparent unhealthy alcohol use tend to be overlooked or neglected, which calls for a systematic screening approach.

Project description:BACKGROUND:Unhealthy alcohol use (UAU) is one of the major causes of preventable morbidity, mortality, and associated behavioral risks worldwide. Although mobile health (mHealth) interventions can provide consumers with an effective means for self-control of UAU in a timely, ubiquitous, and cost-effective manner, to date, there is a lack of understanding about different health outcomes brought by such interventions. The core components of these interventions are also unclear. OBJECTIVE:This study aimed to systematically review and synthesize the research evidence about the efficacy of mHealth interventions on various health outcomes for consumer self-control of UAU and to identify the core components to achieve these outcomes. METHODS:We systematically searched 7 electronic interdisciplinary databases: Scopus, PubMed, PubMed Central, CINAHL Plus with full text, MEDLINE with full text, PsycINFO, and PsycARTICLES. Search terms and Medical Subject Headings "mHealth," "text message," "SMS," "App," "IVR," "self-control," "self-regulation," "alcohol*," and "intervention" were used individually or in combination to identify peer-reviewed publications in English from 2008 to 2017. We screened titles and abstracts and assessed full-text papers as per inclusion and exclusion criteria. Data were extracted from the included papers according to the Consolidated Standards of Reporting Trials-EHEALTH checklist (V 1.6.1) by 2 authors independently. Data quality was assessed by the Mixed Methods Appraisal Tool. Data synthesis and analyses were conducted following the procedures for qualitative content analysis. Statistical testing was also conducted to test differences among groups of studies. RESULTS:In total, 19 studies were included in the review. Of these 19 studies, 12 (63%) mHealth interventions brought significant positive outcomes in improving participants' health as measured by behavioral (n=11), physiological (n=1), and cognitive indicators (n=1). No significant health outcome was reported in 6 studies (6/19, 32%). Surprisingly, a significant negative outcome was reported for the male participants in the intervention arm in 1 study (1/19, 5%), but no change was found for the female participants. In total, 5 core components reported in the mHealth interventions for consumer self-control of UAU were context, theoretical base, delivery mode, content, and implementation procedure. However, sound evidence is yet to be generated about the role of each component for mHealth success. The health outcomes were similar regardless of types of UAU, deployment setting, with or without nonmobile cointervention, and with or without theory. CONCLUSIONS:Most studies reported mHealth interventions for self-control of UAU appeared to be improving behavior, especially the ones delivered by short message service and interactive voice response systems. Further studies are needed to gather sound evidence about the effects of mHealth interventions on improving physiological and cognitive outcomes as well as the optimal design of these interventions, their implementation, and effects in supporting self-control of UAU.

Dataset Information

Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study.

Publications

Investigating Unhealthy Alcohol Use As an Independent Risk Factor for Increased COVID-19 Disease Severity: Observational Cross-sectional Study.

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