Increased COVID-19 infection risk, COVID-19 vaccine inaccessibility, and unacceptability: Worrisome trio for patients with substance abuse disorders

Effect of COVID-19 on the Long-term Cardiovascular Outcomes among Patients with Alcohol Use Disorder: A Retrospective Cohort Study Including 45,842 Patients

OBJECTIVES

This study was conducted to determine the risk of major acute cardiovascular events (MACEs) following COVID-19 among patients with alcohol use disorder (AUD).

METHODS

This is a 1-year follow-up retrospective cohort study that used data from TriNetX, a multi-institutional research network platform. We compared the risks of incident MACEs in patients with AUD who had a positive diagnosis for COVID-19 and patients who had not had COVID-19 during the follow-up year.

RESULTS

We enrolled 45,842 patients with AUD with and without COVID-19 history who had similar baseline characteristics from matching. During the follow-up period, the patients with AUD with COVID-19 history had a higher risk of overall MACEs than that of those without COVID-19 history (hazard ratio [HR], 2.013; 95% confidence interval [CI], 1.810-2.240). In addition, the patients with AUD with COVID-19 history had a higher risk of myocardial infarction (HR, 3.778; 95% CI, 2.873-4.969), stroke (HR, 2.411; 95% CI, 2.016-2.883), heart failure (HR, 2.206; 95% CI, 1.866-2.607), arrhythmia (HR, 2.359; 95% CI, 2.041-2.727), and inflammatory heart disease (HR, 3.042; 95% CI, 1.976-4.682).

CONCLUSIONS

Patients with AUD who survived COVID-19 had a significantly higher risk of incident cardiovascular diseases within 12 months than that of the patients with AUD without COVID-19 history.

Trends in deaths following drug use in England before, during, and after the COVID-19 lockdowns

Aim

This research aimed to describe how the characteristics of deaths following drug use changed during the COVID-19 pandemic in England, and how this can inform future strategy to support the health and social care of people who use drugs in future emergency scenarios.

Method

All deaths reported to the National Programme on Substance Abuse Deaths which occurred between January 2018 and December 2021 inclusive were extracted for analysis. Exponential smoothing models were constructed to determine any differences between forecasted vs. actual trends.

Key results

Following the first lockdown period in England there were significant increases in the proportion of people who died at home beyond the 95% confidence bounds of the exponential smoothing model and concurrent decreases in the proportion of people who died in hospital. Whilst the overall proportion of deaths attributable to opioids did not significantly deviate from the forecasted trend, there were significant increases in methadone-related deaths and decreases in heroin/morphine-related death beyond the 95% confidence bounds. The proportion of deaths concluded as suicide increased, as did those implicating antidepressant use. There were no changes in the proportion of deaths following use of other drug classes, alcohol use in combination with psychoactive drugs, or on decedent demographics (gender, age, and drug user status). A small number of deaths due to drug use had COVID-19 infection itself listed as a cause of death (n = 23).

Conclusion

For people who use drugs, the impact of the restrictions due to the COVID-19 pandemic was greater than that of infection from the virus itself. The health and social care strategy for these people needs to be pre-emptively adapted to mitigate against the specific risk factors for fatal drug overdose associated with future emergency scenarios.

Substances of abuse and their effect on SAR-CoV-2 pathogenesis

Following the emergence of SARS-CoV-2, various reports suggest that there has been a significant increase in substance abuse due to social distancing and related issues. Several reports have suggested the impact of chronic substance use on individuals' physiological and psychological health. Therefore, there is a need to know the impact of SARS-CoV-2 on persons with substance use disorders. Individuals with substance use disorders are the most vulnerable groups and are at a high risk of SARS-CoV-2 infection due to their already existing health issues associated with substance use. This review discusses some of the molecular and systemic/organic effects chronic substance use such as alcohol, nicotine, marijuana (cannabis), opioids, methamphetamine, and cocaine have on SARS-CoV-2 infectivity and its potential cause for worsened disease outcomes in persons with substance use disorder. This will provide healthcare providers, public health policies, and researchers with the needed knowledge to address some of the many challenges faced during the Covid-19 pandemic to facilitate treatment strategies for persons with substance use disorders.

COVID-19 vaccine uptake in mental healthcare users: Czech nationwide register study

BACKGROUND

The excessive covid-related mortality of psychiatric patients was reduced by vaccination. The vaccine uptake in patients diagnosed with different mental health disorders is, however, not fully described.

AIMS

A nationwide, record-based retrospective cross-sectional study examines the effect of substance use, psychotic, affective, anxiety, and personality disorders on COVID-19 vaccination rates in August and December 2021. Further, it quantifies the effect of receiving mental healthcare on vaccine uptake.

METHODS

The COVID-19 vaccine rates of mental healthcare users in August and December 2021 were examined using logistic regression models adjusted for sex and age on a sample of 7,235,690 adult inhabitants of the Czech Republic. The probability of vaccine uptake in the week following mental healthcare appointment or hospitalization on any day in the fall 2021 was compared to the general probability of getting vaccinated during that week.

RESULTS

The vaccination rate in August 2021 was related to history of hospitalization due to substance use (OR = 0.71), personality (OR = 0.87), psychotic (OR = 0.92), and anxiety (OR = 1.15) disorders, while mood disorders had no effect (OR = 1.00). Compared to general population, mental healthcare users were undervaccinated in August but not in December 2021. Vaccine uptake was low in those with history of psychiatric hospitalizations but higher in those utilizing inpatient or outpatient mental healthcare recently, predominantly for affective disorders. Increased vaccine uptake was observed following utilization of mental healthcare as well as in those with repeated psychiatric hospitalizations.

CONCLUSIONS

The vaccination rates of mental healthcare users relative to general population largely differ across nosological categories and during the vaccination campaign. Psychiatrists were successful in promoting vaccination against COVID-19.

A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery

This scoping review compiled information concerning digital health technologies (DHTs) evolution to support primary health care (PHC) during COVID-19 and lessons for the future of PHC. The identified literature was published during the COVID-19 peak years (2019-2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used, thematic analysis was applied, and reporting followed the PRISMA for Scoping Reviews. A total of 46 studies were included in the final synthesis (40 articles, one book, two book chapters, one working paper, and two technical reports). These studies scrutinized various aspects of DHTs, entailing 19 types of DHTs with 20 areas of use that can be compressed into five bigger PHC functions: general PHC service delivery (teleconsultations, e-diagnosis, e-prescription, etc.); behavior promotion and digital health literacy (e.g., combating vaccine hesitancy); surveillance functions; vaccination and drugs; and enhancing system decision-making for proper follow-up of ongoing PHC interventions during COVID-19. DHTs have the potential to solve some of the problems that have plagued us even prior to COVID-19. Therefore, this study uses a forward-looking viewpoint to further stimulate the use of evidence-based DHT, making it more inclusive, educative, and satisfying to people's needs, both under normal conditions and during outbreaks. More research with narrowed research questions is needed, with a particular emphasis on quality assurance in the use of DHTs, technical aspects (standards for digital health tools, infrastructure, and platforms), and financial perspectives (payment for digital health services and adoption incentives).

Supplementary Information

The online version contains supplementary material available at 10.1007/s12553-023-00725-7.

Individual Factors Associated With COVID-19 Infection: A Machine Learning Study

The fast, exponential increase of COVID-19 infections and their catastrophic effects on patients' health have required the development of tools that support health systems in the quick and efficient diagnosis and prognosis of this disease. In this context, the present study aims to identify the potential factors associated with COVID-19 infections, applying machine learning techniques, particularly random forest, chi-squared, xgboost, and rpart for feature selection; ROSE and SMOTE were used as resampling methods due to the existence of class imbalance. Similarly, machine and deep learning algorithms such as support vector machines, C4.5, random forest, rpart, and deep neural networks were explored during the train/test phase to select the best prediction model. The dataset used in this study contains clinical data, anthropometric measurements, and other health parameters related to smoking habits, alcohol consumption, quality of sleep, physical activity, and health status during confinement due to the pandemic associated with COVID-19. The results showed that the XGBoost model got the best features associated with COVID-19 infection, and random forest approximated the best predictive model with a balanced accuracy of 90.41% using SMOTE as a resampling technique. The model with the best performance provides a tool to help prevent contracting SARS-CoV-2 since the variables with the highest risk factor are detected, and some of them are, to a certain extent controllable.

COVID-19 Impact on Australian Patients with Substance Use Disorders: Emergency Department Admissions in Western Sydney before Vaccine Roll Out

Background: In this study, we determined the impact of the COVID-19 pandemic on Western Sydney patients with substance use disorders (SUD) by comparing emergency department (ED) admission rates before and after the onset of the COVID-19 pandemic and before the rollout of COVID-19 vaccination. Methods: ED admission data for patients with SUD were retrieved from the local electronic medical record (eMR) on the hospital central database. ED data collected from 25 January to 25 July 2019 (before the COVID-19 pandemic) were compared with data from 25 January to 25 July 2020 (early pandemic). ED admission reasons were categorised based on the presenting complaints and ED diagnoses. Results: Despite an overall reduction in ED admissions during the early pandemic, compared to the pre-pandemic period, admissions for patients with SUD increased significantly (1.7% to 3.4%, p < 0.01). ED admission rates related to infection (0.05% to 0.12%, p < 0.01), local infection (0.02% to 0.05%, p < 0.01), trauma (0.06% to 0.12%, p < 0.01), alcohol (0.01% to 0.03%, p < 0.05), and other issues (0.06% to 0.10%, p < 0.05) increased significantly among Indigenous patients with SUD. ED admission rates related to drugs (0.12% to 0.39%, p < 0.01), infection (0.21% to 0.34%, p < 0.01), local infection (0.07% to 0.18%, p < 0.01), gastrointestinal (0.15% to 0.23%, p < 0.05), trauma (0.14% to 0.25%, p < 0.01), alcohol (0.36% to 0.74%, p < 0.01), and ‘other’ issues (0.47% to 0.91%, p < 0.01) increased significantly among non-Indigenous patients with SUD. Four cases of COVID-19 were reported among these patients. Conclusions: There was an increase in ED admissions for patients with SUD in the initial six months of the COVID-19 pandemic (before vaccine rollout), mainly for drugs, systemic infection, local infection, trauma, and alcohol-related reasons. Now that most people in New South Wales have been vaccinated against COVID-19, a further study is needed to quantify the effect of the pandemic on patients with SUD in the post-vaccine era.

"There are solutions and I think we're still working in the problem": The limitations of decriminalization under the good Samaritan drug overdose act and lessons from an evaluation in British Columbia, Canada

BACKGROUND

Drug prohibition has been associated with increased risk of overdose. However, drug prohibition remains the dominant drug policy, including in Canada with the Controlled Drugs and Substances Act. In 2017, the Good Samaritan Drug Overdose Act (GSDOA) was enacted, to encourage people to contact emergency medical services by providing bystanders at the scene of an overdose with legal protection for simple possession and conditions related to simple possession.

METHODS

We conducted an evaluation of the GSDOA in British Columbia, Canada that included one-on-one interviews with people who use illicit drugs (PWUD), to determine peoples' experiences and perceptions surrounding this form of decriminalization. We present findings from a thematic analysis of 37 interviews.

RESULTS

We identified limitations of the GSDOA at overdose events; key themes and concerns causing PWUD to hesitate to or avoid contacting emergency medical services included drug confiscation, the thin line between simple possession and drug trafficking, and enforcement of other charges and court ordered conditions that are not legally protected by the GSDOA. Moreover, participants discussed the GSDOA as inequitable; benefiting some while excluding PWUD with intersecting marginalized identities.

CONCLUSION

Our findings are pertinent in light of many jurisdictions across the world considering dejure decriminalization, including BC and Vancouver. The GSDOA and associated limitations that emerged in our evaluation can serve to guide jurisdictions implementing or amending dejure decriminalization policies.

COVID-19 Vaccination Rates of People Who Use Drugs — Chengdu City, Sichuan Province, China, November 2021 – February 2022

What is already known about this topic?

Few studies have reported that people who use drugs (PWUDs) have much lower coronavirus disease 2019 (COVID-19) vaccination rates than the general population, especially with no relative information reported in China specifically.

What is added by this report?

This study seminally uncovers that the vaccination rate among PWUDs was about 79.34% in one district of Chengdu City, Sichuan Province, China. Assuming that unvaccinated PWUDs with disease records were really not eligible for vaccination, the vaccination rate goes up to 87.25% among the studied PWUDs. The study implies that PWUDs were not left behind in the vaccination drive against COVID-19 in China.

What are the implications for public health practice?

In pandemics like COVID-19, government leadership and the overall planning and distribution of public health products are critical in achieving national health equity. However, in order to do this as well as avoid discrimination or exclusion among specific portions of the general population, it’s necessary to understand the vaccination rates and behaviors of at-risk groups such as PWUD’s.