Identification of Drug Interaction Adverse Events in Patients With COVID-19: A Systematic Review

Development of Orally Bioavailable Octahydroindole-Based Peptidomimetic Derivative as a Broad-Spectrum Inhibitor against HCoV-OC43 and SARS-CoV-2

A series of novel Mpro inhibitors was designed and synthesized to combat the coronavirus, such as HCoV-OC43 and SARS-CoV-2, and several compounds showed comparable antiviral activity to nirmatrelvir. Among them, an octahydroindole-based peptidomimetic covalent inhibitor 28f showed strong inhibitory activity against Mpros and exhibited broad-spectrum anticoronavirus activity with EC50 values ranging from 0.027 to 4.41 μM. Besides, this compound displayed potent antiviral activity against EV71. Compared to FB2001, 28f displayed better pharmacokinetic properties, and the value of oral bioavailability in CD-1 mice and Beagle dogs was improved to 10.4 and 10.2%, respectively. In addition, oral treatment with 28f could significantly reduce the viral loads of HCoV-OC43 in mice, and compound 28f could also effectively reduce lung viral loads in a K18-hACE2 transgenic mouse model without ritonavir. Taken together, compound 28f is a promising orally bioavailable broad-spectrum antiviral drug candidate that deserves further research.

Effectiveness of drugs employed in the treatment of COVID-19: real-world evidence

BACKGROUND

Drugs used to treat patients with SARS-CoV-2 infection have been tested in different clinical trials but less in real-life studies. Our goal was to assess the effectiveness of several specific COVID-19 drugs.

RESEARCH DESIGN AND METHODS

Retrospective study of all patients testing positive for SARS-CoV-2 infection between 1 March 2020 and 9 January 2022. We extracted sociodemographic, basal comorbidities, specific medication for their COVID-19, COVID-19 vaccination data, and outcomes such as death and admission to hospital and intensive care unit (ICU) during the different periods of the pandemic.

RESULTS

The prescription of corticosteroids to out-of-hospital patients was related to a higher likelihood of hospital admission. Among the hospitalized patients, all of the drugs studied (dexamethasone, prednisone, methylprednisolone, remdesivir, ritonavir/lopinavir, and tocilizumab) were related to a higher likelihood of dying at 90 days or being admitted to an ICU. In patients admitted to an ICU, corticosteroids prevented intrahospital mortality (Odds ratio: 0.73; 95% confident intervals: 0.554-0.969). All drugs were related to longer length of hospital admission and ICU stays.

CONCLUSIONS

Most drugs used for COVID-19 patients had no clear benefit except in the case of corticosteroids, associated with a reduced risk of intrahospital mortality among ICU patients.

TRIAL REGISTRATION

The study is registered at ClinicalTrials.gov (CT.gov identifier: NCT04463706).

Effects of nirmatrelvir/ritonavir (Paxlovid) on the nervous system: analysis on adverse events released by FDA

BACKGROUND

Nirmatrelvir/ritonavir, commonly known as Paxlovid, is one of the main drugs used to treat COVID-19. Neurological disorders are among the adverse drug reactions (ADRs) linked to Paxlovid, yet comprehensive data-mining studies based on real-world neurological adverse events induced by Paxlovid are lacking.

METHODS

It is an observational study, to reduce the risk of bias affected by COVID-19 disease, our study included only patients with COVID-19 disease. In this case, disproportionate analysis is performed using the Report Odds Ratio (ROR) and its 95% Confidence Interval (CI).

RESULTS

We screened and compared all medications associated with COVID-19 (N = 439) and found that 22 of these were linked to neurological adverse reactions. Paxlovid was associated with a threefold greater number of neurological adverse events compared to all other drugs combined (N = 11,792), with a strong signal value (ROR = 2.27).

CONCLUSIONS

Compared to all other COVID-19-related drugs, Paxlovid has the highest number and stronger signal value for neurologic-related adverse reactions. Clinicians should pay special attention to female patients taking Paxlovid within the first 30 days, monitoring for symptoms such as dysgeusia, ageusia, headache, and anosmia. In addition, headache and anosmia are not uncommon occurrences as mentioned in the instructions and should be noted.

Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks

Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. The intensification of societal aging and the increase in life stress have led to a growing number of patients suffering from both heart disease and depression. These patients often need to use cardiovascular drugs and antidepressants for polypharmacy, but potential DDIs may compromise treatment effectiveness and patient safety. To predict interactions between drugs used to treat these two diseases, we propose a method named Multi-Drug Features Learning with Drug Relation Regularization (MDFLDRR). First, we map feature vectors representing drugs in different feature spaces to the same. Second, we propose drug relation regularization to determine drug pair relationships in the interaction space. Experimental results demonstrate that MDFLDRR can be effectively applied to two DDI prediction goals: predicting unobserved interactions among drugs within the drug network and predicting interactions between drugs inside and outside the network. Publicly available evidence confirms that MDFLDRR can accurately identify DDIs between cardiovascular drugs and antidepressants. Lastly, by utilizing drug structure calculations, we ascertained the severity of newly discovered DDIs to mine the potential co-medication risks and aid in the smart management of pharmaceuticals.

Assessment of potential drug-drug interactions in hospitalized patients with infectious diseases: an experience from a secondary care hospital

Background

Polypharmacy is common among hospitalized patients with infectious infections owing to comorbidities or concurrent illnesses. This raises the likelihood of drug-drug interactions and creates uncertainty for healthcare providers. This study aimed to assess the potential drug-drug interactions (pDDIs) among hospitalized patients with infectious diseases in a secondary care hospital.

Methods

A prospective observational study was conducted in the internal medicine ward for six months. Data were collected from patient case records, and prescriptions were screened for pDDIs and classified based on the severity from a portable electronic physician information database (PEPID) resource analyzed using SPSS, version 27.0.

Results

In total, 148 patient case records were analyzed, and 549 pDDIs were identified, with 66.8% having at least one or more DDIs. The mean number of drug interactions was 3.70 ± 4.58 per prescription. The most frequently encountered drug interactions were drug combinations such as bisoprolol with atorvastatin and aspirin with tazobactam/piperacillin. Based on the severity, most pDDIs belong to the 'moderate' category (40.07%). Bivariate analysis showed that age, comorbidities, length of hospital stay, and the number of drugs prescribed were risk factors associated with DDIs (p<0.05). In the multiple binary logistic regression analysis, DDIs were significantly associated with comorbidities and the number of prescribed medications (p<0.0001).

Conclusions

This study observed the prevalence of DDIs in hospitalized patients with infectious diseases of 'moderate' severity. Prescription screening using a drug information database assists in identifying and preventing DDIs early, enhancing drug safety and quality of patient-centered care.

Drug-Drug Interactions Between HIV Antivirals and Concomitant Drugs in HIV Patients: What We Know and What We Need to Know

Highly active antiretroviral therapy has led to a significant increase in the life expectancy of people living with HIV. The trade-off is that HIV-infected patients often suffer from comorbidities that require additional treatment, increasing the risk of Drug-Drug Interactions (DDIs), the clinical relevance of which has often not been determined during registration trials of the drugs involved. Therefore, it is important to identify potential clinically relevant DDIs in order to establish the most appropriate therapeutic approaches. This review aims to summarize and analyze data from studies published over the last two decades on DDI-related adverse clinical outcomes involving anti-HIV drugs and those used to treat comorbidities. Several studies have examined the pharmacokinetics and tolerability of different drug combinations. Protease inhibitors, followed by nonnucleoside reverse transcriptase inhibitors and integrase inhibitors have been recognized as the main players in DDIs with antivirals used to control co-infection, such as Hepatitis C virus, or with drugs commonly used to treat HIV comorbidities, such as lipid-lowering agents, proton pump inhibitors and anticancer drugs. However, the studies do not seem to be consistent with regard to sample size and follow-up, the drugs involved, or the results obtained. It should be noted that most of the available studies were conducted in healthy volunteers without being replicated in patients. This hampered the assessment of the clinical burden of DDIs and, consequently, the optimal pharmacological management of people living with HIV.

Ursodeoxycholic acid and severe COVID-19 outcomes in a cohort study using the OpenSAFELY platform

BACKGROUND

Biological evidence suggests ursodeoxycholic acid (UDCA)-a common treatment of cholestatic liver disease-may prevent severe COVID-19 outcomes. We aimed to compare the hazard of COVID-19 hospitalisation or death between UDCA users versus non-users in a population with primary biliary cholangitis (PBC) or primary sclerosing cholangitis (PSC).

METHODS

With the approval of NHS England, we conducted a population-based cohort study using primary care records between 1 March 2020 and 31 December 2022, linked to death registration data and hospital records through the OpenSAFELY-TPP platform. Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association between time-varying UDCA exposure and COVID-19 related hospitalisation or death, stratified by geographical region and considering models unadjusted and fully adjusted for pre-specified confounders.

RESULTS

We identify 11,305 eligible individuals, 640 were hospitalised or died with COVID-19 during follow-up, 400 (63%) events among UDCA users. After confounder adjustment, UDCA is associated with a 21% relative reduction in the hazard of COVID-19 hospitalisation or death (HR 0.79, 95% CI 0.67-0.93), consistent with an absolute risk reduction of 1.35% (95% CI 1.07%-1.69%).

CONCLUSIONS

We found evidence that UDCA is associated with a lower hazard of COVID-19 related hospitalisation and death, support calls for clinical trials investigating UDCA as a preventative measure for severe COVID-19 outcomes.

Population pharmacokinetics of nirmatrelvir/ritonavir in critically ill Chinese COVID-19 patients and recommendations for medication use: a two-center retrospective study

BACKGROUND

This study aimed to establish population pharmacokinetics (PPK) models of nirmatrelvir/ritonavir in critically ill Chinese patients with the coronavirus disease 2019 (COVID-19) infection, explore factors affecting the pharmacokinetics (PK) of nirmatrelvir/ritonavir.

METHODS

A total of 285 serum samples and clinical data were collected from 152 patients. The PPK models of nirmatrelvir/ritonavir were analyzed using nonlinear mixed-effect modeling (NONMEM) approach. The optimal dosing regimen for patients with different renal function was determined using Monte Carlo simulations.

RESULTS

The population typical values of apparent clearance (CL/F) and apparent volume of distribution (V/F) of nirmatrelvir were 2.26 L/h and 15.3 L, respectively. Notably, creatinine clearance (CrCL) significantly influenced the PK variation of nirmatrelvir. Monte Carlo simulations suggested that patients with mild-to-moderate renal impairment experienced a 22.0-59.9% increase in the area under the curve (AUC) when they were administered a standard dose of nirmatrelvir compared to those with normal renal function. The AUC in patients with severe renal impairment after administration of 150 mg q12h nirmatrelvir was similar to that in patients with normal renal function after administration of 300 mg q12h nirmatrelvir.

CONCLUSIONS

PPK modeling and simulation provided a reference for the rational clinical application of nirmatrelvir/ritonavir in critically ill Chinese patients.

Association of Polymorphic Cytochrome P450 Enzyme Pathways with Falls in Multimedicated Older Adults

OBJECTIVES

Dose exposure is considered relevant for drug-associated falls in older adults, pointing to an importance of drug metabolism. Aim was to analyze individual factors altering drug metabolism such as enzyme saturation by drug exposure and pharmacogenetics in the context of drug-associated falls.

DESIGN

Prospective population-based study (ActiFE-Ulm study).

SETTING AND PARTICIPANTS

Community-dwelling older adults.

METHODS

Focus was laid on the metabolism by polymorphic cytochrome P450 (CYP) enzymes CYP2C19, 2C9, and 2D6. Relevant variants of pharmacogenes were analyzed. Logistic binary regression analysis was used to calculate odds ratios (ORs) and 95% CIs for falls observed prospectively over a 1-year period with drug metabolism characteristics.

RESULTS

In total, 1377 participants were included in the analysis. Although the phenotype predicted by the genotype was not, the use of drugs metabolized by CYP2C19 was associated with falls. Drugs not known as fall risk-increasing drugs (FRIDs; ie, non-FRIDs), but metabolized by CYP2C19, showed an OR of 1.46 (1.11-1.93) in adjusted analysis. Significant effect modification was observed for a reduced CYP2C19 activity phenotype with non-FRIDs metabolized by CYP2C19.

CONCLUSIONS AND IMPLICATIONS

This study suggests an association between the occurrence of falls in older adults and the metabolic capacity of CYP2C19. Thus, an important step toward prevention of falls might be to personalize dosage and treatment length of the main drug classes known to be CYP2C19 substrates, such as many antidepressants, opioids, and sedatives, but also proton pump inhibitors in particular in poor and intermediate metabolizers.

The first five years of SARS-CoV-2: inpatient treatment updates and future directions

INTRODUCTION

In December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first identified in adults with pneumonia in Wuhan, China.

AREAS COVERED

It is now believed that several billion humans have been infected with SARS-CoV-2 and more than ten million have died from coronavirus disease 2019 (COVID-19), the disease caused by SARS-CoV-2.

EXPERT OPINION

The first five years of the SARS-CoV-2 pandemic have been marked by unfathomable suffering as well as remarkable scientific progress. This manuscript examines what has been learned about the treatment of inpatients with COVID-19 and explores how the therapeutic approach may evolve in the years ahead.

Comparison of effectiveness and safety of nirmatrelvir/ritonavir versus sotrovimab for COVID-19: a systematic review and meta-analysis

BACKGROUND

This study aims to compare the effectiveness and safety of nirmatrelvir/ritonavir (Paxlovid) and sotrovimab for coronavirus disease 2019 (COVID-19).

METHODS

A search was conducted on PubMed, Cochrane Library, and Web of Science to explore relevant studies from January 2021 to November 2023. The risk of bias in the included studies was assessed using the Cochrane Collaboration's tool. Data analysis was conducted using the Comprehensive Meta-Analysis software (version 3.0).

RESULTS

Fifteen retrospective studies involving 13, 306 patients were included. The meta-analysis revealed no significant difference between the nirmatrelvir/ritonavir and sotrovimab groups in terms of mortality rate (odds ratio [OR] = 0.62, 95% confidence interval [CI]: 0.28 to 1.38), hospitalization rate (OR = 0.76, 95% CI: 0.48 to 1.22), death or hospitalization rate (OR = 0.75, 95% CI: 0.51 to 1.10), and intensive unit care admission (OR = 1.97, 95% CI: 0.38 to 10.07). In terms of safety, nirmatrelvir/ritonavir was associated with a higher incidence of adverse events (OR = 3.44, 95% CI: 1.29 to 9.17).

CONCLUSIONS

The meta-analysis showed that nirmatrelvir/ritonavir and sotrovimab have similar effectiveness in treating COVID-19 patients. However, the certainty of evidence supporting these findings is low. High-quality research is needed to better compare these interventions in COVID-19.

Hepatitis C virus eradication in people living with human immunodeficiency virus: Where are we now?

Hepatitis C virus (HCV)/human immunodeficiency virus (HIV) co-infection still involves 2.3 million patients worldwide of the estimated 37.7 million living with HIV, according to World Health Organization. People living with HIV (PLWH) are six times greater affected by HCV, compared to HIV negative ones; the greater prevalence is encountered among people who inject drugs and men who have sex with men: the risk of HCV transmission through sexual contact in this setting can be increased by HIV infection. These patients experience a high rate of chronic hepatitis, which if left untreated progresses to end-stage liver disease and hepatocellular carcinoma (HCC) HIV infection increases the risk of mother to child vertical transmission of HCV. No vaccination against both infections is still available. There is an interplay between HIV and HCV infections. Treatment of HCV is nowadays based on direct acting antivirals (DAAs), HCV treatment plays a key role in limiting the progression of liver disease and reducing the risk of HCC development in mono- and coinfected individuals, especially when used at an early stage of fibrosis, reducing liver disease mortality and morbidity. Since the sustained virological response at week 12 rates were observed in PLWH after HCV eradication, the AASLD has revised its simplified HCV treatment algorithm to also include individuals living with HIV. HCV eradication can determine dyslipidemia, since HCV promotes changes in serum lipid profiles and may influence lipid metabolism. In addition to these apparent detrimental effects on the lipid profile, the efficacy of DAA in HCV/HIV patients needs to be considered in light of its effects on glucose metabolism mediated by improvements in liver function. The aim of the present editorial is to describe the advancement in HCV treatment among PLWH.

Adverse events related to drug-drug interactions in COVID-19 patients. A persistent concern in the post-pandemic era: a systematic review

INTRODUCTION

Since COVID-19 patients are often polytreated, monitoring drug-drug interaction (DDIs) is necessary. We evaluated whether drugs used after the second COVID-19 pandemic wave were associated with DDI-related adverse events and the role of drug interaction checkers in identifying them.

METHODS

The study (PROSPERO-ID: CRD42024507634) included: 1) consulting the drug interaction checkers Drugs.com, Liverpool COVID-19 Interactions, LexiComp, Medscape, and Micromedex; 2) systematic review; 3) reviewed studies analysis; 4) evaluating drug interaction checkers potential to anticipate DDI-related adverse events.The systematic review was performed searching PubMed, Scopus, ScienceDirect, and Cochrane databases from 1 March 2022 to 11 November 2023. Observational studies, and clinical trials were included. Article without reporting direct association between DDIs and adverse events were excluded. The risk of bias was assessed by Newcastle-Ottawa scale.

RESULTS

The most frequent DDIs involved nirmatrelvir/ritonavir (N/R) and fluvoxamine. Fifteen studies, including 150 patients and 35 DDI-related outcomes, were analyzed. The most frequent DDIs involved tacrolimus with N/R, resulting in creatinine increase.Eighty percent of reported DDI-related adverse events would have been identified by all drug-interaction checkers, while the remaining 20% by at least 2 of them.

CONCLUSIONS

Drug interaction checkers are useful but show inconsistencies. Multiple sources are needed to tailor treatment in the context of COVID-19.

Drug-drug interactions between COVID-19 drug therapies and antidepressants

INTRODUCTION

Antidepressants are widely used for the pharmacological treatment of anxiety and mood disorders. Since the eruption of the SARS-COV-2 pandemic and the later development of targeted treatments against COVID-19, inevitably many patients receive antidepressants as well as targeted treatments against COVID-19 against COVID-19. Co-administration of antidepressants with COVID-19 therapeutics has the potential of drug-drug interactions, of varying severity and clinical significance.

AREAS COVERED

This is a curated narrative review of the current state of the art regarding drug-drug interactions between COVID-19 therapeutics and medications licensed for the pharmacotherapy of depression. A systematic search of electronic databases, using as keywords the international nonproprietaty names of currently approved COVID-19 therapeutics and antidepressants was performed, and additionally online interaction checker tools were consulted. Derived data were synthesized for each COVID-19 therapeutic and presented with up-to-date guidance.

EXPERT OPINION

Several COVID-19 therapeutics have potential for drug-drug interactions with antidepressants. Remdesivir and Nirmatrelvir-Ritonavir have the higher risk, whereas several monoclonal antibodies appear safer. The most serious drug-drug interactions (serotonin syndrome and QTc prolongation) require close monitoring; however, DDI toward reducing the efficacy of antidepressants may be difficult to recognize. As COVID-19 treatment protocols take precedence, psychiatrists should exert flexibility in antidepressant use and proactively monitor treatment progress.

Potential drug-drug interactions among U.S. adults treated with nirmatrelvir/ritonavir: A cross-sectional study of the National Covid Cohort Collaborative (N3C)

STUDY OBJECTIVE

To estimate the prevalence of potential moderate to severe drug-drug interactions (DDIs) involving nirmatrelvir/ritonavir, identify interacting medications, and evaluate risk factors associated with potential DDIs.

DESIGN

Cross-sectional study.

DATA SOURCE

Electronic health records from the National COVID Cohort Collaborative Enclave, one of the largest COVID-19 data resources in the United States.

PATIENTS

Outpatients aged ≥18 years and started nirmatrelvir/ritonavir between December 23, 2021 and March 31, 2022.

INTERVENTION

Nirmatrelvir/ritonavir.

MEASUREMENTS

The outcome is potential moderate to severe DDIs, defined as starting interacting medications reported by National Institutes of Health 30 days before or 10 days after starting nirmatrelvir/ritonavir.

MAIN RESULTS

Of 3214 outpatients who started nirmatrelvir/ritonavir, the mean age was 56.8 ± 17.1 years, 39.5% were male, and 65.8% were non-Hispanic white. Overall, 521 (16.2%) were potentially exposed to at least one moderate to severe DDI, most commonly to atorvastatin (19.2% of all DDIs), hydrocodone (14.0%), or oxycodone (14.0%). After adjustment for covariates, potential DDIs were more likely among individuals who were older (odds ratio [OR] 1.16 per 10-year increase, 95% confidence interval [CI] 1.08-1.25), male (OR 1.36, CI 1.09-1.71), smokers (OR 1.38, CI 1.10-1.73), on more co-medications (OR 1.35, CI 1.31-1.39), and with a history of solid organ transplant (OR 3.63, CI 2.05-6.45).

CONCLUSIONS

One in six of individuals receiving nirmatrelvir/ritonavir were at risk of a potential moderate or severe DDI, underscoring the importance of clinical and pharmacy systems to mitigate such risks.

Different Prognostic Role of Soluble PD-L1 in the Course of Severe and Non-Severe COVID-19

Understanding the link between COVID-19 and patient immune characteristics is crucial. We previously demonstrated that high levels of the soluble Programmed Death-Ligand1 (sPD-L1) at the beginning of the infection correlated with low lymphocyte number and high C-reactive protein (CRP), longer length of stay (LOS), and death. This study investigated whether sPD-L1 can be a prognosis biomarker during COVID-19. Severe and non-severe COVID-19 patients were enrolled at the University Hospital of Salerno. During hospitalization, at admission, and after 12-14 days, patients' data were collected, and sPD-L1 levels were measured by enzyme-linked immunosorbent assay. The peripheral lymphocyte number negatively correlated with the time of negativization (p = 0.006), length of stay (LOS) (p = 0.032), and CRP (p = 0.004), while sPD-L1 positively correlated with LOS (p = 0.015). Patients with increased sPD-L1 and lymphocyte number showed a shorter LOS than those with decreased sPD-L1 and lymphocyte number (p = 0.038) and those with increased sPD-L1 and decreased lymphocyte number (p = 0.025). Moreover, patients with increased sPD-L1 and decreased CRP had a shorter LOS than those with increased sPD-L1 and CRP (p = 0.034) and those with decreased sPD-L1 and CRP (p = 0.048). In conclusion, while at an early phase of COVID-19, sPD-L1 promotes an immune escape, later, it might act to dampen an excessive immune response, proving its role in COVID-19 prognosis.

Effectiveness of nirmatrelvir-ritonavir for the treatment of patients with mild to moderate COVID-19 and at high risk of hospitalization: Systematic review and meta-analyses of observational studies

OBJECTIVE

To assess the effectiveness of nirmatrelvir-ritonavir in the treatment of outpatients with mild to moderate COVID-19 who are at higher risk of developing severe illness, through a systematic review with meta-analyses of observational studies.

METHODS

A systematic search was performed, in accordance with the Cochrane search methods, to identify observational studies that met the inclusion criteria. The outcomes of mortality and hospitalization were analyzed. Search was conducted on PubMed, EMBASE, and The Cochrane Library. Two reviewers independently screened references, selected the studies, extracted the data, assessed the risk of bias using ROBINS-I tool and evaluated the quality of evidence using the GRADE tool. This study followed the PRISMA reporting guideline.

RESULTS

A total of 16 observational studies were finally included. The results of the meta-analysis showed that in comparison to standard treatment without antivirals, nirmatrelvir-ritonavir reduced the risk of death by 59% (OR = 0.41; 95% CI: 0.35-0.52; moderate certainty of evidence). In addition, a 53% reduction in the risk of hospital admission was observed (OR = 0.47; 95% CI: 0.36-0.60, with very low certainty of evidence). For the composite outcome of hospitalization and/or mortality, there was a 56% risk reduction (OR = 0.44; 95% CI: 0.31-0.64, moderate certainty of evidence).

CONCLUSION

The results suggest that nirmatrelvir-ritonavir could be effective in reducing mortality and hospitalization. The results were valid in vaccinated or unvaccinated high-risk individuals with COVID-19. Data from ongoing and future trials may further advance our understanding of the effectiveness and safety of nirmatrelvir-ritonavir and help improve treatment guidelines for COVID-19.

An update on drug-drug interactions for care of the acutely ill in the era of COVID-19

PURPOSE

To provide key pharmacological concepts underlying drug-drug interactions (DDIs), a decision-making framework, and a list of DDIs that should be considered in the context of contemporary acutely ill patients with COVID-19.

SUMMARY

DDIs are frequently encountered in the acutely ill. The implications of DDIs include either increased risk of drug toxicity or decreased effectiveness, which may have severe consequences in the acutely ill due to lower physiological and neurocognitive reserves in these patients. In addition, an array of additional therapies and drug classes have been used for COVID-19 that were not typically used in the acute care setting. In this update on DDIs in the acutely ill, we provide key pharmacological concepts underlying DDIs, including a discussion of the gastric environment, the cytochrome P-450 (CYP) isozyme system, transporters, and pharmacodynamics in relation to DDIs. We also provide a decision-making framework that elucidates the identification of DDIs, risk assessment, selection of alternative therapies, and monitoring. Finally, important DDIs pertaining to contemporary acute care clinical practice related to COVID-19 are discussed.

CONCLUSION

Interpreting and managing DDIs should follow a pharmacologically based approach and a systematic decision-making process to optimize patient outcomes.

Trends in COVID-19-Related Medication Use in US Nursing Homes, 2018-2022

OBJECTIVES

Little is known about how COVID-19 treatment patterns have evolved over time in nursing homes (NHs) despite the devastating effects of COVID-19 in this setting. The aim was to describe changes in COVID-19-related medication use over time among NH residents in the United States.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

This study used electronic health records (EHR) from 11 different US NH corporations between January 1, 2018, and March 31, 2022.

METHODS

The use of medications approved for COVID-19-related conditions or known to be used off-label for COVID-19 during the study period is identified. We described trends in the use of each drug and combined use per 1000 NH residents over calendar time [quarters (Q)].

RESULTS

A total of 59,022 unique residents with the use of an eligible medication were identified. Hydroxychloroquine use sharply increased from 9.8 in 2020Q1 to 30.2 orders per 1000 individuals in 2020Q2. Dexamethasone use increased sharply from 14.8 in 2020Q2 to a peak of 121.9 orders per 1000 individuals in 2020Q4. Azithromycin use increased from 44.1 in 2019Q3 to a peak of 99.9 orders per 1000 individuals in 2020Q4, with a drop in 2020Q3 of 51.3 per 1000 individuals in 2020Q3. Concurrent use of azithromycin and hydroxychloroquine increased sharply from 0.3 in 2020Q1 to 10.6 orders per 1000 residents in 2020Q2 and then drastically decreased to 0.6 per 1000 residents in 2020Q3. Concurrent use of dexamethasone and azithromycin rose considerably from 0.7 in 2020Q2 to 28.2 orders per 1000 residents in 2020Q4.

CONCLUSIONS AND IMPLICATIONS

As in other settings, COVID-19-related medication use in NHs appears to have changed in response to the shifting evidence base and availability of medications during the pandemic. Providers should continue to diligently modify their prescribing as new evidence accrues.

Feasibility of using KardiaMobile-L6 for QT interval monitoring during the early phase of the COVID-19 pandemic in critical care patients

The electrocardiogram (ECG) represents an essential tool to determine cardiac electrical abnormalities in COVID-19 patients, the effects of anti-SARS-CoV-2 drugs, and potential drug interactions. Smartphone-based heart monitors have increased the spectrum of ECG monitoring however, we are not aware of its reliability in critically ill COVID-19 patients. We aim to evaluate the feasibility and reliability of nurse-performed smartphone electrocardiography for QT interval monitoring in critically ill COVID-19 patients using KardiaMobile-6L compared with the standard 12-lead ECG. An observational comparative study was conducted comparing consecutive KardiaMobile-6L and 12-lead ECG recordings obtained from 20 patients admitted to the intensive care unit with SARS-CoV-2 infection and on invasive mechanical ventilation. The heart rate-corrected QT (QTc) intervals measured by KardiaMobile-6L and 12-lead ECG were compared. In 60 percent of the recordings, QTc intervals measured by KardiaMobile-6L matched those by 12-lead ECG. The QTc intervals measured by KardiaMobile-6 and 12-lead ECG were 428 ± 45 ms and 425 ± 35 ms (p = 0.82), respectively. The former demonstrated good agreement (bias = 2.9 ms; standard deviation of bias = 29.6 ms) with the latter, using the Bland-Altman method of measurement agreement. In all but one recording, KardiaMobile-6L demonstrated QTc prolongation. QTc interval monitoring with KardiaMobile-6L in critically ill COVID-19 patients was feasible and demonstrated reliability comparable to the standard 12-lead ECG.

Role of Cytochrome P450 2C9 in COVID-19 Treatment: Current Status and Future Directions

The major human liver drug metabolising cytochrome P450 (CYP) enzymes are downregulated during inflammation and infectious disease state, especially during coronavirus disease 2019 (COVID-19) infection. The influx of proinflammatory cytokines, known as a 'cytokine storm', during severe COVID-19 leads to the downregulation of CYPs and triggers new cytokine release, which further dampens CYP expression. Impaired drug metabolism, along with the inevitable co-administration of drugs or 'combination therapy' in patients with COVID-19 with various comorbidities, could cause drug-drug interactions, thus worsening the disease condition. Genetic variability or polymorphism in CYP2C9 across different ethnicities could contribute to COVID-19 susceptibility. A number of drugs used in patients with COVID-19 are inducers or inhibitors of, or are metabolised by, CYP2C9, and co-administration might cause pharmacokinetic and pharmacodynamic interactions. It is also worth mentioning that some of the COVID-19 drug interactions are due to altered activity of other CYPs including CYP3A4. Isoniazid/rifampin for COVID-19 and tuberculosis co-infection; lopinavir/ritonavir and cobicistat/remdesivir combination therapy; or multi-drug therapy including ivermectin, azithromycin, montelukast and acetylsalicylic acid, known as TNR4 therapy, all improved recovery in patients with COVID-19. However, a combination of CYP2C9 inducers, inhibitors or both, and plausibly different CYP isoforms could lead to treatment failure, hepatotoxicity or serious side effects including thromboembolism or bleeding, as observed in the combined use of azithromycin/warfarin. Further, herbs that are CYP2C9 inducers and inhibitors, showed anti-COVID-19 properties, and in silico predictions postulated that phytochemical compounds could inhibit SARS-CoV-2 virus particles. COVID-19 vaccines elicit immune responses that activate cytokine release, which in turn suppresses CYP expression that could be the source of compromised CYP2C9 drug metabolism and the subsequent drug-drug interaction. Future studies are recommended to determine CYP regulation in COVID-19, while recognising the involvement of CYP2C9 and possibly utilising CYP2C9 as a target gene to tackle the ever-mutating SARS-CoV-2.

Prevalence of potential drug-drug interactions with ritonavir-containing COVID-19 therapy

BACKGROUND: Patients with COVID-19 receiving ritonavir-containing therapies are at risk of potential drug-drug interactions (pDDIs) because of ritonavir's effects on cytochrome P450 3A4. OBJECTIVE: To assess the prevalence of pDDIs with ritonavir-containing COVID-19 therapy in adults with COVID-19 using the Optum Clinformatics Data Mart database. METHODS: In this retrospective, observational cohort study, patients with COVID-19 aged 18 years or older prescribed cytochrome P450 3A4-mediated medications with supply days overlapping the date of COVID-19 diagnosis between January 1, 2020, and June 30, 2021, were classified as having pDDIs. pDDI was classified as contraindicated, major, moderate, or mild using established drug interaction resources. Prevalence of pDDIs with ritonavir-containing COVID-19 therapy was estimated for the entire cohort and in patient groups with high risk of severe COVID-19 progression or pDDIs. Actual COVID-19 treatments received by the patients, if any, were not considered. Outcomes were presented descriptively without adjusted comparisons. RESULTS: A total of 718,387 patients with COVID-19 were identified. The age-sex standardized national prevalence of pDDIs of any severity was estimated at 52.2%. Approximately 34.5% were at risk of contraindicated or major pDDIs. Compared with patients without pDDI, patients exposed to pDDIs were older and more likely to be female, reside in long-term care facilities, and have risk factors for progression to severe COVID-19. Higher prevalence of major/contraindicated pDDIs was observed in older patients (76.1%), female patients (65.0%), and patients with multiple morbidities (84.6%). CONCLUSIONS: Study findings demonstrate that more than one-third of patients with COVID-19 were at risk of significant pDDIs if treated with ritonavir-containing COVID-19 therapy and highlight the need to assess all patients with COVID-19 for pDDIs. Ritonavir-based therapies may not be appropriate for certain patient groups, and alternative therapies should be considered. DISCLOSURES: Drs Igho-Osagie, Puenpatom, and Grifasi Williams are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. Dr Song and Ms He are employees of Analysis Group, Inc., and served as paid consultants for Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. Drs Yi and Wang, and Mr Berman, and Ms Gu were employees of Analysis Group, Inc., at the time of study conduct. Financial support for this study was provided by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. The study sponsor was involved in the design and conduct of the study; collection, management, analysis, interpretation of data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Long COVID: Clinical Framing, Biomarkers, and Therapeutic Approaches

More than two years after the onset of the COVID-19 pandemic, healthcare providers are facing an emergency within an emergency, the so-called long COVID or post-COVID-19 syndrome (PCS). Patients diagnosed with PCS develop an extended range of persistent symptoms and/or complications from COVID-19. The risk factors and clinical manifestations are many and various. Advanced age, sex/gender, and pre-existing conditions certainly influence the pathogenesis and course of this syndrome. However, the absence of precise diagnostic and prognostic biomarkers may further complicate the clinical management of patients. This review aimed to summarize recent evidence on the factors influencing PCS, possible biomarkers, and therapeutic approaches. Older patients recovered approximately one month earlier than younger patients, with higher rates of symptoms. Fatigue during the acute phase of COVID-19 appears to be an important risk factor for symptom persistence. Female sex, older age, and active smoking are associated with a higher risk of developing PCS. The incidence of cognitive decline and the risk of death are higher in PCS patients than in controls. Complementary and alternative medicine appears to be associated with improvement in symptoms, particularly fatigue. The heterogeneous nature of post-COVID symptoms and the complexity of patients with PCS, who are often polytreated due to concomitant clinical conditions, suggest a holistic and integrated approach to provide useful guidance for the treatment and overall management of long COVID.

Drug-Drug Interactions among Patients Hospitalized with COVID-19 in Greece

The modulation of the pharmacological action of drugs due to drug-drug interactions (DDIs) is a critical issue in healthcare. The aim of this study was to evaluate the prevalence and the clinical significance of potential DDIs in patients admitted to the University Hospital of Heraklion in Greece with coronavirus disease 2019 (COVID-19). Cardiovascular disorders (58.4%) and diabetes (types I and II) (29.6%) were the most common comorbidities. A high occurrence of DDIs was observed, and clinically significant DDIs that may hamper response to treatment represented 40.3% of cases on admission, 21% during hospitalization, and 40.7% upon discharge. Polypharmacy and comorbidities were associated with a higher prevalence of DDIs in a statistically significant way (p < 0.05, 95% CI). Clinically significant DDIs and increased C-reactive protein values upon admission were associated with prolonged hospitalization. The results reveal that patients admitted due to COVID-19 in Greece often have an additional burden of DDIs that healthcare teams should approach and resolve.

The preclinical discovery and development of molnupiravir for the treatment of SARS-CoV-2 (COVID-19)

INTRODUCTION

Molnupiravir (MOV) is a broad-spectrum oral antiviral agent approved for the treatment of COVID-19. The results from in vitro and in vivo studies suggested MOV activity against many RNA viruses such as influenza virus and some alphaviruses agents of epidemic encephalitis. MOV is a prodrug metabolized into the ribonucleoside analog β-D-N⁴-hydroxycytidine. It is incorporated into the viral RNA chain causing mutations impairing coding activity of the virus, thereby inhibiting viral replication.

AREAS COVERED

This review analyzes the in vitro and in vivo studies that have highlighted the efficacy of MOV and the main pre-authorization randomized controlled trials evaluating its safety, tolerability, and pharmacokinetics, as well as its antiviral efficacy against SARS-COV-2 infection.

EXPERT OPINION

MOV is an antiviral agent with an excellent tolerability profile with few drug-drug interactions. Treatment of mild-to-moderate COVID-19 can benefit from MOV administration in the precocious phases of the disease, prior to the trigger of an aberrant immune response responsible for the parenchymal damage to pulmonary and extrapulmonary tissues. However, its suspected mutagenic effect can be a factor limiting its use at least in selected populations and studies on its teratogen effects should be planned before it is authorized for use in the pediatric population or in pregnant women.

Therapeutic Applications of Fucoidans and their Potential to Act Against COVID-19

In this review article, we present the updated evidence of therapeutic applications of fucoidan (a seaweed polysaccharide) and its novel potential to treat infectious diseases such as coronavirus disease (COVID-19). Because of their many biological activities, seaweeds have been identified as a rich and useful source of bioactive chemicals. Sulfated polysaccharides from the sea are considered a source of physiologically active chemicals that might be used in medication development. Antitumor, antiviral, antioxidant, antibacterial, anticoagulant, and immune-inflammatory properties have all been described for these compounds. By interfering at various phases of viral infection, marine sulfated polysaccharide has a virucidal effect. As a result, it opens the door to the development of antiviral treatments. Virus entry into host cells is an initial process, avoiding this type of entry makes any precautionary measure effective. The inhibitory action of certain marine sulfated polysaccharides against coronavirus was tested, and fucoidan, iota-carrageenan, and sea cucumber sulfated polysaccharides all showed a substantial antiviral impact. Fucoidan is one of the useful sulfated polysaccharides that has been widely studied and explored in various research. There are different sources of fucoidans, which have been used in the treatment of viral infection. Additionally, we highlight the mechanism of action of fuocidan against COVID-19. Hence, we could suggest that COVID-19 might be prevented and treated using these sulfated polysaccharides. This review thus highlights ample evidence to support the hypothesis that a large number of drugs have been developed from powerful compounds isolated from marine seaweeds.

Efficacy and safety of baricitinib and tocilizumab in hospitalized patients with COVID-19: A comparison using systematic review and meta-analysis

Objective: This review was performed to compare the efficacy and safety among hospitalized patients with COVID-19 who received baricitinib and those who received tocilizumab independently with placebo or the standard of care (SOC). Methods: Relevant databases were searched for randomized controlled trials which evaluated the effect of baricitinib or tocilizumab as compared to placebo or the SOC in hospitalized patients with COVID-19. The primary endpoint was the comparison of the 28-day mortality. Risk ratios (RR) and mean differences were compared and pooled for dichotomous and continuous variables, respectively. A two-staged exploratory network meta-analysis using a multivariate meta-analysis was also performed. All analyses were performed in Stata version 16.0. The GRADE approach was used to assess the quality of the generated evidence (PROSPERO ID: CRD42022323363). Results: Treatment with baricitinib [RR, 0.69 (95% CI, 0.50-0.94), p = 0.02, i2 = 64.86%] but not with tocilizumab [RR, 0.87 (95% CI, 0.71-1.07), p = 0.19, i2 = 24.41%] led to a significant improvement in the 28-day mortality as compared to that with the SOC. Treatment with baricitinib or tocilizumab, both independently led to a significant reduction in the duration of hospitalization [baricitinib: mean difference, -1.13 days (95% CI, -1.51 to -0.76), p < 0.001, i2 = 0.00%; tocilizumab: mean difference, -2.80 days (95% CI, -4.17 to -1.43), p < 0.001, i2 = 55.47%] and a significant improvement in the proportion of patients recovering clinically by day 28 [baricitinib: RR, 1.24 (95% CI, 1.03-1.48), p = 0.02, i2 = 27.20%; tocilizumab: RR, 1.41 (95% CI, 1.12-1.78), p < 0.001, i2 = 34.59%] as compared to those with the SOC. From the safety point of view, both these drugs showed similar results. There were fewer patients who experienced any serious adverse event following treatment with barictinib and tocilizumab as compared to those following treatment with the SOC [baricitinib: RR, 0.76 (95% CI, 0.62-0.92), p = 0.01, i2 = 12.63%; tocilizumab: RR, 0.85 (95% CI, 0.72-1.01), p = 0.07, i2 = 0.00%]. Conclusion: As baricitinib and tocilizumab are recommended interchangeably by various guidelines for the management of COVID-19, considering the better 28-day mortality data and other comparable efficacy and safety outcomes, baricitinib may be favored over tocilizumab considering its ease of administration, shorter half-life, and lower cost of treatment.

Impact and Value of Hospital Antibiotic Stewardship: Retrospective Pre-COVID-19-Pandemic Analysis

Aim: “Antimicrobial stewardship” (AMS) is defined as a healthcare-system-wide approach to promoting and monitoring the judicious use of antimicrobials to preserve their future effectiveness. Therefore, we structured an observational study to monitor the hospital trend of antibiotic consumption and related expenditure before the COVID-19 pandemic and to evaluate how much AMS could affect this trend. Methods: The research covered the antibiotic prescriptions at the University Hospital (U.H.) “San Giovanni di Dio e Ruggi d’Aragona”, Salerno, Italy, comparing data on the therapies prescribed from 1 January to 31 December 2017 (27,384 patients) with those collected during the same period in 2019 (27,047 patients). Results: Unlike national data, our results highlighted a decreasing trend in the consumption of antibiotics that did not concern only carbapenems and fluoroquinolones, but also the third-generation cephalosporins. Noteworthily, there was also a reduction in 2019 compared with 2017 in the consumption of colistin, an antibiotic towards which an increase in bacterial resistance in animals has been found nationally. In agreement with the national data, our research confirms a trend of an increase (+3.7%) in the total antibiotic consumption corresponding to more than 26% and 29% reductions in the total and therapy per-day costs, respectively. Conclusions: The results show a positive impact of the AMS at the University Hospital “San Giovanni di Dio e Ruggi d’Aragona”.

Antiparasitic Drugs against SARS-CoV-2: A Comprehensive Literature Survey

More than two years have passed since the viral outbreak that led to the novel infectious respiratory disease COVID-19, caused by the SARS-CoV-2 coronavirus. Since then, the urgency for effective treatments resulted in unprecedented efforts to develop new vaccines and to accelerate the drug discovery pipeline, mainly through the repurposing of well-known compounds with broad antiviral effects. In particular, antiparasitic drugs historically used against human infections due to protozoa or helminth parasites have entered the main stage as a miracle cure in the fight against SARS-CoV-2. Despite having demonstrated promising anti-SARS-CoV-2 activities in vitro, conflicting results have made their translation into clinical practice more difficult than expected. Since many studies involving antiparasitic drugs are currently under investigation, the window of opportunity might be not closed yet. Here, we will review the (controversial) journey of these old antiparasitic drugs to combat the human infection caused by the novel coronavirus SARS-CoV-2.