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Fyffe I, Sorensen J, Carroll S, MacPhee M, Andrews-Paul A, Crooks VA, Freeman S, Davison K, Walls J, Berndt A, Shams B, Sivan M, Mithani A. Long COVID in long-term care: a rapid realist review. BMJ Open 2023; 13:e076186. [PMID: 38128935 DOI: 10.1136/bmjopen-2023-076186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
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.
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Affiliation(s)
- Ian Fyffe
- Long Term Care & Assisted Living, Fraser Health Authority, Surrey, British Columbia, Canada
| | - Janice Sorensen
- Long Term Care & Assisted Living, Fraser Health Authority, Surrey, British Columbia, Canada
| | - Simon Carroll
- Sociology, University of Victoria, Victoria, British Columbia, Canada
| | - Maura MacPhee
- Nursing, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Alison Andrews-Paul
- Long Term Care & Assisted Living, Fraser Health Authority, Surrey, British Columbia, Canada
| | - Valorie A Crooks
- Geography, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Shannon Freeman
- Nursing, University of Northern British Columbia, Prince George, British Columbia, Canada
| | - Karen Davison
- Institute of Life Course & Aging, University of Toronto, Toronto, Ontario, Canada
- Health Science Program, Faculty of Science and Horticulture, Kwantlen Polytechnic University, Surrey, British Columbia, Canada
| | - Jennifer Walls
- Long-Term Care & Assisted Living Research Partners Group, Fraser Health Authority, Surrey, British Columbia, Canada
| | - Annette Berndt
- Long-Term Care & Assisted Living Research Partners Group, Fraser Health Authority, Surrey, British Columbia, Canada
| | - Benajir Shams
- Long Term Care & Assisted Living, Fraser Health Authority, Surrey, British Columbia, Canada
| | | | - Akber Mithani
- Long Term Care & Assisted Living, Fraser Health Authority, Surrey, British Columbia, Canada
- Department of Psychiatry, The University of British Columbia, Vancouver, British Columbia, Canada
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Raouf GA, Mohammad FK, Merza MA. Polypharmacy and the In Silico Prediction of Potential Body Proteins Targeted by These Drugs Among Hospitalized COVID-19 Patients With Cytokine Storm. Cureus 2023; 15:e48834. [PMID: 38106718 PMCID: PMC10722521 DOI: 10.7759/cureus.48834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2023] [Indexed: 12/19/2023] Open
Abstract
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.
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Affiliation(s)
- Ghazwan A Raouf
- Department of Pharmacology, College of Pharmacy, University of Duhok, Duhok, IRQ
| | - Fouad K Mohammad
- Department of Physiology, Biochemistry and Pharmacology, College of Veterinary Medicine, University of Mosul, Mosul, IRQ
- College of Nursing, The American University of Kurdistan, Duhok, IRQ
| | - Muayad A Merza
- Department of Internal Medicine, University of Duhok, Duhok, IRQ
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Visser AGR, Winkens B, Schols JMGA, Janknegt R, Spaetgens B. The impact of polypharmacy on 30-day COVID-related mortality in nursing home residents: a multicenter retrospective cohort study. Eur Geriatr Med 2023; 14:51-57. [PMID: 36484958 PMCID: PMC9734791 DOI: 10.1007/s41999-022-00723-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/15/2022] [Indexed: 12/14/2022]
Abstract
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.
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Affiliation(s)
- Anne G R Visser
- Zuyderland Elderly Care, Sittard, The Netherlands. .,Departments Health Services Research and Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
| | - Bjorn Winkens
- Department of Methodology and Statistics, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Jos M G A Schols
- Departments Health Services Research and Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Rob Janknegt
- Departments Health Services Research and Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Bartholomeus Spaetgens
- Section Geriatric Medicine, Division of General Internal Medicine, Department of Internal Medicine, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
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