Potential for Drug Interactions and Polypharmacy from Treatment of COVID-19 in Long-term Care

Long COVID in long-term care: a rapid realist review

OBJECTIVES

The goals of this rapid realist review were to ask: (a) what are the key mechanisms that drive successful interventions for long COVID in long-term care (LTC) and (b) what are the critical contexts that determine whether the mechanisms produce the intended outcomes?

DESIGN

Rapid realist review.

DATA SOURCES

Medline, CINAHL, Embase, PsycINFO and Web of Science for peer-reviewed literature and Google for grey literature were searched up to 23 February 2023.

ELIGIBILITY CRITERIA

We included sources focused on interventions, persons in LTC, long COVID or post-acute phase at least 4 weeks following initial COVID-19 infection and ones that had a connection with source materials.

DATA EXTRACTION AND SYNTHESIS

Three independent reviewers searched, screened and coded studies. Two independent moderators resolved conflicts. A data extraction tool organised relevant data into context-mechanism-outcome configurations using realist methodology. Twenty-one sources provided 51 intervention data excerpts used to develop our programme theory. Synthesised findings were presented to a reference group and expert panel for confirmatory purposes.

RESULTS

Fifteen peer-reviewed articles and six grey literature sources were eligible for inclusion. Eleven context-mechanism-outcome configurations identify those contextual factors and underlying mechanisms associated with desired outcomes, such as clinical care processes and policies that ensure timely access to requisite resources for quality care delivery, and resident-centred assessments and care planning to address resident preferences and needs. The underlying mechanisms associated with enhanced outcomes for LTC long COVID survivors were: awareness, accountability, vigilance and empathetic listening.

CONCLUSIONS

Although the LTC sector struggles with organisational capacity issues, they should be aware that comprehensively assessing and monitoring COVID-19 survivors and providing timely interventions to those with long COVID is imperative. This is due to the greater care needs of residents with long COVID, and coordinated efficient care is required to optimise their quality of life.

Polypharmacy and the In Silico Prediction of Potential Body Proteins Targeted by These Drugs Among Hospitalized COVID-19 Patients With Cytokine Storm

Background and objective Polypharmacy is prevalent in coronavirus disease 2019 (COVID-19) patients with severe disease. However, information on polypharmacy among COVID-19 patients who also suffer from cytokine storm is scarce. In light of this, the purpose of the present study was to assess the incidence of polypharmacy and in silico prediction of potential body proteins targeted by these drugs among hospitalized COVID-19 patients who were identified to have the additional burden of cytokine storm in the city of Duhok, Kurdistan Region, Iraq. Methods This was a cross-sectional observational study conducted from June 2021 to April 2022; the phenomena of major polypharmacy (six to nine medications) and excessive polypharmacy (≥10 medications) were documented among 33 (15 males and 18 females) COVID-19 patients with cytokine storm during their hospital stay (8-45 days) in Duhok, Kurdistan Region, Iraq. The SwissTargetPrediction program was utilized in silico to predict and identify human body proteins that could be potentially targeted by selected medications involved in polypharmacy. Results All patients had tested positive for COVID-19 via PCR testing, and they showed different signs and symptoms of the disease. None of the patients recovered and all of them deceased. All 33 patients received many therapeutic agents that ranged in number from eight to 20/patient during their hospital stay. The mean number of medications was 15 ± 3. We identified 2/33 (6%) patients with major polypharmacy (eight and nine) and 31/33 (94%) with excessive polypharmacy (15.5 ± 2.7). The total number of medications identified in polypharmacy was 37, excluding vitamins, minerals, and intravenous solutions. The frequency of medications administered was as follows: antibiotics (67, 13.7%), mucolytic agents (56, 11.5%), corticosteroids (54, 11%), anticoagulants (48, 9.8%), antiviral agents (41, 8.4%), antihypertensive agents (32, 6.5%), analgesics (28, 5.7%), antifungal drugs (27, 5.5%), antidiabetics (26, 5.3%), and other medications (2-19, 0.41-3.9%). Using the SwissTargetPrediction program, various drugs including antiviral agents involved in polypharmacy were found to target, in silico, body proteins at a prediction percentage that ranged from 6.7% to 40%. Conclusions Major and extensive polypharmacy conditions were identified in hospitalized COVID-19 patients suffering from cytokine storm. The severity of COVID-19 with cytokine storm, comorbidities, and hospitalization were key factors associated with polypharmacy in the patients. The SwissTargetPrediction web server is useful for predicting in silico potential human body protein targets that could possibly be sources of additional information on the adverse/toxic effects of polypharmacy medications administered concurrently. Further research in current medication protocols prescribed for advanced COVID-19 illness with cytokine storm is warranted to gain deeper insights into the topic.

The impact of polypharmacy on 30-day COVID-related mortality in nursing home residents: a multicenter retrospective cohort study

PURPOSE

Both the coronavirus (COVID-19) disease and polypharmacy pose a serious threat to nursing home (NH) residents. This study aimed to assess the impact of polypharmacy on 30-day COVID-related mortality in NH residents with COVID-19.

METHODS

Multicenter retrospective cohort study including NH residents from 15 NHs in the Netherlands. The impact of polypharmacy on 30-day COVID-related mortality was evaluated and assessed using multivariable logistic regression analyses with correction for age, sex, CCI, BMI and vaccination status.

RESULTS

In total, 348 NH residents were included, with a mean age of 84 years (SD = 8); 65% were female, 70% lived in a psychogeriatric ward, with a main diagnosis of dementia. 30-day COVID-related mortality was 27.3%. We found a significant, positive association between the total number of medications and 30-day COVID-related mortality (OR 1.09; 95% CI 1.001-1.20, p = 0.046), after adjustment for age, sex, Charlson Comorbidity Index (CCI), Body Mass Index (BMI) and vaccination status. After additional correction for dementia (model 2) and use of PPI, vitamin D, antipsychotics and antithrombotics (model 3), this effect remained positive, but was no longer significant.

CONCLUSION

Nursing home residents with a higher number of medications and who were not vaccinated, had a higher 30-day COVID-related mortality. These findings have important implications for the management of COVID-19 in the frail NH population. As such they underline the importance of deprescribing on the one hand, but also of improving vaccination rates on the other.