ACE inhibitors. Drug interactions of clinical significance

Influence of inpatient withdrawal treatment on drug safety in alcohol use disorder - a quasi-experimental pre-post study

OBJECTIVE

Most patients with alcohol use disorder (AUD) regularly take medication. Alcohol interacts negatively with many commonly prescribed medications. Little is known about whether the risk of potential alcohol-medication and drug-drug interactions increases or decreases in patients with AUD during inpatient withdrawal treatment. The aim of our study was to determine the prevalence and characteristics of potential alcohol-medication and drug-drug interactions in patients with AUD before and after withdrawal treatment in an addiction unit.

DESIGN

Prospective monocentric quasi-experimental pre-post study.

METHODS

Medication records before and after withdrawal treatment were analyzed and screened for potential alcohol-medication (pAMI) and drug-drug interactions (pDDI) using the drugs.com classification and the AiDKlinik® electronic interaction program, respectively.

RESULTS

We enrolled 153 patients with AUD who were treated in an addiction unit of a university hospital in Germany. Of these, 67.3% experienced at least one pAMI before and 91.5% after withdrawal treatment. In total, there were 278 pAMIs classified as "mild," "moderate," or "severe" before and 370 pAMIs after withdrawal treatment. Additionally, there were 76 pDDIs classified as "moderate," "severe," or "contraindicated combinations" both before and after withdrawal treatment.

CONCLUSION

The risk of exposure to pAMIs and pDDIs increases during inpatient withdrawal treatment in patients with AUD. Improvements in the quality of prescribing should particularly focus on the use of antihypertensives and opioids.

Patient compliance for metabolic evaluation and medical treatment (CoMET) in calcium-oxalate stone patients: prospective study by EULIS eCORE study group

PURPOSE

In this study, we aimed to identify the compliance rates of calcium-oxalate stone patients for metabolic evaluation, diet and medical treatment and also determine the factors that are associated with poor compliance rates.

METHODS

This study was conducted by the EULIS eCORE working group prospectively. In the initial visit, demographic and stone-related characteristics were recorded. Patients were suggested metabolic evaluation, dietary advices and medical treatment. Follow-up visit was performed after 3 months and compliance rates were recorded. Logistic regression analysis was performed to determine factors associated with poor compliance to metabolic evaluation, diet and medical treatment.

RESULTS

Data of 346 patients from nine centers were analyzed. Compliance rates were 71.7%, 65.3%, and 63.7% for metabolic evaluation, diet, and medical treatment, respectively. In multivariate analysis, level of education (p = 0.003), history of emergency department visit (p = 0.04), number of stone surgeries (p = 0.03), patient care in dedicated stone clinic (p = 0.03), and history of shock wave lithotripsy (p = 0.005) were detected as independent predictors of compliance to metabolic analysis. Level of education (p < 0.001) and history of emergency department visit (p = 0.01) were detected as independent predictors of patient compliance to diet. Number of stone episodes (p = 0.03), family history of stones (p = 0.02), and polypharmacy (p < 0.001) were detected as independent predictors of patient compliance to medical treatment.

CONCLUSIONS

Patient compliance to metabolic evaluation, diet, and medical therapy is important for successful management of urolithiasis. Dietary advices and medications should be personalized by taking in to account the factors associated with poor compliance.

Artificial Intelligence and Data Mining for the Pharmacovigilance of Drug-Drug Interactions

Despite increasing mechanistic understanding, undetected and underrecognized drug-drug interactions (DDIs) persist. This elusiveness relates to an interwoven complexity of increasing polypharmacy, multiplex mechanistic pathways, and human biological individuality. This persistent elusiveness motivates development of artificial intelligence (AI)-based approaches to enhancing DDI detection and prediction capabilities. The literature is vast and roughly divided into "prediction" and "detection." The former relatively emphasizes biological and chemical knowledge bases, drug development, new drugs, and beneficial interactions, whereas the latter utilizes more traditional sources such as spontaneous reports, claims data, and electronic health records to detect novel adverse DDIs with authorized drugs. However, it is not a bright line, either nominally or in practice, and both are in scope for pharmacovigilance supporting signal detection but also signal refinement and evaluation, by providing data-based mechanistic arguments for/against DDI signals. The wide array of intricate and elegant methods has expanded the pharmacovigilance tool kit. How much they add to real prospective pharmacovigilance, reduce the public health impact of DDIs, and at what cost in terms of false alarms amplified by automation bias and its sequelae are open questions. (Clin Ther. 2023;45:XXX-XXX) © 2023 Elsevier HS Journals, Inc.

Basic principles of combination therapy: focus on drug-drug interaction

The article is devoted to the issue of drug interactions in the combination regimens. Today, when drug therapy is the first-line approach for patients with noncommunicable diseases, and the world population ageing leads to an increase in the number of patients with severe comorbidity and polypharmacy, the problem of drug-drug interaction is especially relevant. The article discusses the main types of drug interactions  — pharmacokinetic (related to absorption, distribution, metabolism and excretion of drugs) and pharmacodynamic ones, leading to synergy or antagonism of the pharmacological effects. The consequences of drug interactions can be desirable and undesirable, while the latter are much more common. Attention should be directed precisely to preventing such interactions. Also, using data from special scales and lists (Beers criteria, STOPP/START criteria), the options for various adverse drugdrug interactions are briefly described. In addition, the article provides a number of Internet resources that allow assessing the drug interaction risk when prescribing combination therapy.

Updated information on new coronavirus disease 2019 occurrence, drugs, and prediction of a potential receptor

The new coronavirus (COVID-19) was first reported in Wuhan in China, on 31 December 2019. COVID-19 is a new virus from the family of coronaviruses that can cause symptoms ranging from a simple cold to pneumonia. The virus is thought to bind to the angiotensin-converting enzyme 2, as a well-known mechanism to enter the cell. It then transfers its DNA to the host in which the virus replicates the DNA. The viral infection leads to severe lack of oxygen, lung oxidative stress because of reactive oxygen species generation, and overactivation of the immune system by activating immune mediators. The purpose of this review is to elaborate on the more precise mechanism(s) to manage the treatment of the disease. Regarding the mechanisms of the virus action, the suggested pharmacological and nutritional regimens have been described.

Pharmacodynamic Drug-Drug Interactions

Pharmacodynamic drug-drug interactions (DDIs) occur when the pharmacological effect of one drug is altered by that of another drug in a combination regimen. DDIs often are classified as synergistic, additive, or antagonistic in nature, albeit these terms are frequently misused. Within a complex pathophysiological system, the mechanism of interaction may occur at the same target or through alternate pathways. Quantitative evaluation of pharmacodynamic DDIs by employing modeling and simulation approaches is needed to identify and optimize safe and effective combination therapy regimens. This review investigates the opportunities and challenges in pharmacodynamic DDI studies and highlights examples of quantitative methods for evaluating pharmacodynamic DDIs, with a particular emphasis on the use of mechanism-based modeling and simulation in DDI studies. Advancements in both experimental and computational techniques will enable the application of better, model-informed assessments of pharmacodynamic DDIs in drug discovery, development, and therapeutics.

Mechanisms and the clinical relevance of complex drug-drug interactions

As a result of an increasing aging population, the number of individuals taking multiple medications simultaneously has grown considerably. For these individuals, taking multiple medications has increased the risk of undesirable drug–drug interactions (DDIs), which can cause serious and debilitating adverse drug reactions (ADRs). A comprehensive understanding of DDIs is needed to combat these deleterious outcomes. This review provides a synopsis of the pharmacokinetic (PK) and pharmacodynamic (PD) mechanisms that underlie DDIs. PK-mediated DDIs affect all aspects of drug disposition: absorption, distribution, metabolism and excretion (ADME). In this review, the cells that play a major role in ADME and have been investigated for DDIs are discussed. Key examples of drug metabolizing enzymes and drug transporters that are involved in DDIs and found in these cells are described. The effect of inhibiting or inducing these proteins through DDIs on the PK parameters is also reviewed. Despite most DDI studies being focused on the PK effects, DDIs through PD can also lead to significant and harmful effects. Therefore, this review outlines specific examples and describes the additive, synergistic and antagonistic mechanisms of PD-mediated DDIs. The effects DDIs on the maximum PD response (E_max) and the drug dose or concentration (EDEC₅₀) that lead to 50% of E_max are also examined. Significant gaps in our understanding of DDIs remain, so innovative and emerging approaches are critical for overcoming them.

Review: Imidapril in Heart Failure

Angiotensin-converting enzyme (ACE) inhibitors improve the prognosis in mild, moderate and severe heart failure, as well as preventing the onset of heart failure in patients with chronic asymptomatic left-ventricular dysfunction and in those with reduced ejection fraction after myocardial infarction (MI). Imidapril is a long-acting ACE inhibitor that is rapidly converted in the liver to its active metabolite, imidaprilat. Maximum plasma concentrations of imidapril and imidaprilat are achieved after 2 and 5—6 hours, respectively, with corresponding elimination half-lives of 1.1—2.5 and 10—19 hours. Imidapril is used in the treatment of hypertension, chronic heart failure, acute MI and diabetic nephropathy. In patients with mild-tomoderate chronic heart failure, imidapril 10 mg once-daily increased exercise time and physical working capacity, decreased plasma atrial natriuretic peptide and brain natriuretic peptide levels and reduced blood pressure. It also improved left ventricular ejection fraction, being significantly more effective than bisoprolol, in patients with acute MI. Imidapril is well tolerated and preliminary studies suggest it has an advantage over captopril and enalapril in terms of a lower incidence of cough. In conclusion, imidapril is a well-investigated versatile ACE inhibitor for the treatment of a range ofACE inhibitor for the treatment of a range of cardiovascular diseases.

Therapeutic substitution post-patent expiry: the cases of ACE inhibitors and proton pump inhibitors

This paper examines whether there is a switch in total (originator and generic) consumption after generic entry from molecules that face generic competition towards other molecules of the same class, which are still in-patent. Data from six European countries for the time period 1991 to 2006 are used to study the cases of angiotensin-converting enzyme inhibitors and proton pump inhibitors. Empirical evidence shows that patent expiry of captopril and enalapril led to a switch in total (off-patent originator and generic) consumption towards other in-patent angiotensin-converting enzyme inhibitors, whereas patent expiry of omeprazole led to a switch in consumption towards other proton pump inhibitors. This phenomenon makes generic policies ineffective and results in an increase in pharmaceutical expenditure due to the absence of generic alternatives in the market of in-patent molecules.

Adverse drug reactions in patients with cardiovascular disease

Adverse drug reactions (ADRs) occur frequently in modern medical practice, increasing morbidity and mortality and inflating the cost of care. Patients with cardiovascular disease are particularly vulnerable to ADRs due to their advanced age, polypharmacy, and the influence of heart disease on drug metabolism. The ADR potential for a particular cardiovascular drug varies with the individual, the disease being treated, and the extent of exposure to other drugs. Knowledge of this complex interplay between patient, drug, and disease is a critical component of safe and effective cardiovascular disease management. The majority of significant ADRs involving cardiovascular drugs are predictable and therefore preventable. Better patient education, avoidance of polypharmacy, and clear communication between physicians, pharmacists, and patients, particularly during the transition between the inpatient to outpatient settings, can substantially reduce ADR risk.

The Prevalence of Potential Drug-Drug Interactions in Patients with Heart Failure at Hospital Discharge

BACKGROUND/OBJECTIVE

Pharmacotherapy for heart failure is complex and, due to polypharmacy, is associated with a large risk of potential drug-drug interactions (DDIs). The objective of the present study was to assess the prevalence of potential DDIs in the medication of hospitalised heart failure patients and to evaluate their clinical relevance.

STUDY DESIGN/METHODS

The medication of 400 patients was retrospectively analysed for potential DDIs at hospital admission and discharge using a computerised drug interaction program. Main inclusion criteria were the diagnosis of heart failure and a minimum of two drug prescriptions at discharge.

RESULTS

In the study population of 400 heart failure patients (median age 79 years, 55.5% men), the median number of drugs per patient was lower at admission than at discharge (6 [interquartile range {IQR} 4-9] vs 8 [IQR 6-10]; p < 0.001). At hospital admission, a total of 863 potential DDIs were detected in 272 patients (68.0%; 95% CI 63.4, 72.6). At discharge, 1171 potential DDIs were detected in 355 patients (88.8%; 95% CI 85.7, 91.8). This corresponds with a significant increase in the median number of potential DDIs per patient from admission to discharge (1.5 [IQR 0-3] vs 3 [IQR 1-4]; p < 0.001). Of the 1171 potential DDIs at discharge, 432 (36.9%) were prevalent at admission and 739 (63.1%) resulted from a medication change during the hospital stay. Of these 739 new potential DDIs, the severity of the potential adverse effect was rated as 'major' in 190 (25.7%) patients, 'moderate' in 482 (65.2%) and 'minor' in 67 (9.1%). The 190 potential DDIs with major severity were recorded in a total of 145 patients (36.3%; 95% CI 31.5, 41.0%). Hyperkalaemia was the most prevalent potential adverse effect of major severity (n = 93) and the combination of an ACE inhibitor with a potassium-sparing diuretic was recorded in 64 (16.0%) patients.

CONCLUSIONS

The study shows that hospitalisation of patients with heart failure results in an increase in the number of drugs prescribed per patient and, thereby, also in the number of potentially interacting drug combinations per patient. Although electronic drug interaction programs are a valuable tool to check for potential DDIs, the clinical relevance of most potential DDIs can only be judged by assessment of the individual patient.

Drug–drug interactions in oncology: Why are they important and can they be minimized?

Adverse drug-drug interactions are a major cause of morbidity and mortality. Cancer patients are at particularly high risk of such interactions because they commonly receive multiple medications, including cytotoxic chemotherapy, hormonal agents and supportive care drugs. In addition, the majority of cancer patients are elderly, and so require medications for co-morbid conditions such as cardiovascular, gastrointestinal, and rheumatological diseases. Furthermore, the age-related decline in hepatic and renal function reduces their ability to metabolize and clear drugs and so increases the potential for toxicity. Not all drug-drug interactions can be predicted, and those that are predictable are not always avoidable. However, increased awareness of the potential for these interactions will allow healthcare providers to minimize the risk by choosing appropriate drugs and also by monitoring for signs of interaction. This review considers the basic principles of drug-drug interactions, and presents specific examples that are relevant to oncology.

Determinants of impaired renal function with use of nonsteroidal anti-inflammatory drugs: the importance of half-life and other medications

PURPOSE

Nonsteroidal anti-inflammatory drugs (NSAIDs) may interfere with renal function, but little is known about the effects of the half-life of these agents, or the use of other medications, on renal function.

SUBJECTS AND METHODS

Medication use was assessed during a standardized interview in a cross-sectional study of 802 patients undergoing total joint replacement because of osteoarthritis. Preoperative blood samples were used to estimate creatinine clearance using a standard formula that takes age, sex, and weight into account. Impaired renal function was defined as an estimated creatinine clearance less than 60 mL/min (fifteenth percentile). Multivariable logistic regression was used to estimate the adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between NSAID use (alone or in combination with diuretics or angiotensin-converting enzyme [ACE] inhibitors) and impaired renal function.

RESULTS

NSAID use per se was only marginally associated with impaired renal function (OR = 1.4; 95% CI, 0.9 to 2.2). This association was almost exclusively the result of the use of NSAIDs with a half-life of 4 or more hours (OR = 2.6; 95% CI: 1.2 to 5.7). Patients who used diuretics with NSAIDs (OR = 3.7; 95% CI: 1.7 to 8.3) or without NSAIDs (OR = 3.5; 95% CI: 1.6 to 7.6) had a higher risk of impaired renal function than did patients using NSAIDs alone (OR = 1.6) or none of these drugs (reference). A similar but less pronounced pattern was observed for ACE inhibitors.

CONCLUSION

NSAID-associated impaired renal function seems to be mainly the result of compounds with intermediate-long half-life. We found no evidence that the adverse effects of diuretics and ACE inhibitors on renal function were greater in those who also used NSAIDs.

Perindopril: an updated review of its use in hypertension

Perindopril erbumine (perindopril) is a prodrug ester of perindoprilat, an angiotensin converting enzyme (ACE) inhibitor. Perindopril 4 to 8 mg once daily significantly reduces supine systolic blood pressure (SBP) and diastolic blood pressure (DBP) from baseline values in hypertensive patients. These reductions are maintained for at least 24 hours, as evidenced by trough/peak ratios of >50%. Vascular abnormalities associated with hypertension were improved or normalised during perindopril treatment. Perindopril 4 to 8 mg once daily significantly decreased carotid-femoral aortic pulse wave velocity (PWV), improved arterial compliance, reduced left ventricular mass index and, in patients with recent cerebral ischaemia and/or stroke, preserved cerebral blood flow despite significantly reducing SBP and DBP. Further research is needed to establish the significance of promising results showing that reductions in aortic PWV were associated with reduced mortality in patients with end-stage renal failure, a third of whom received perindopril. Response rates (numbers of patients with supine DBP < or = 90 mm Hg) were significantly higher with perindopril 4 to 8 mg once daily (67 to 80%) than with captopril 25 to 50 mg twice daily (44 to 57%) in 3 randomised double-blind trials. In other clinical trials, the antihypertensive effects of perindopril were similar to those of other ACE inhibitors (including enalapril) and calcium-channel antagonists. Combination treatment with perindopril and an antihypertensive agent from another treatment class provided additional benefits, either as first-line treatment or in patients failing to respond to monotherapy. Perindopril monotherapy was also effective in the elderly and in patients with hypertension and concomitant disease. Perindopril has a similar adverse event profile to that of other ACE inhibitors; cough is the most common event reported during treatment, and is also the most common adverse event responsible for treatment withdrawal.

CONCLUSIONS

Perindopril is a well tolerated ACE inhibitor that is significantly better than captopril (in terms of response rates) in the treatment of hypertension, and as effective as other ACE inhibitors. Perindopril appears to reverse some of the vascular abnormalities associated with hypertension, including arterial stiffness and left ventricular hypertrophy, although further research is needed to confirm promising results regarding its ability to decrease associated cardiovascular morbidity and mortality. Results from ongoing studies will help confirm the place of perindopril in the treatment of hypertension; currently, it is an effective and well tolerated treatment for patients with mild to moderate essential hypertension.

Predictors of decreased renal function in patients with heart failure during angiotensin-converting enzyme inhibitor therapy: results from the studies of left ventricular dysfunction (SOLVD)

BACKGROUND

Although angiotensin-converting enzyme inhibitor therapy reduces mortality rates in patients with congestive heart failure (CHF), it may also cause decreased renal function. Little information is available to predict which patients are at highest risk for this complication.

OBJECTIVE

To quantify specific clinical predictors of reduction in renal function in patients with CHF who are prescribed angiotensin-converting enzyme inhibitor therapy.

METHOD

We analyzed data from the Studies of Left Ventricular Dysfunction (SOLVD), a randomized, double-blind, placebo-controlled trial of enalapril for the treatment of CHF. There were 3379 patients randomly assigned to enalapril with a median follow-up of 974 days and 3379 patients randomly assigned to placebo with a mean follow-up of 967 days. Decreased renal function was defined as a rise in serum creatinine >/=0.5 mg/dL (44 micromol/L) from baseline. We used time-to-event analysis to identify potential predictors of decrease in renal function including age, baseline ejection fraction, baseline creatinine, low systolic blood pressure (<100 mm Hg), history of hypertension, diabetes, and use of antiplatelet, diuretic, and beta-blocker therapy.

RESULTS

Patients randomly assigned to enalapril had a 33% greater likelihood of decreased renal function than controls (P =.003). By multivariate analysis, in both the placebo and enalapril groups older age, diuretic therapy, and diabetes were associated with decreased renal function, whereas beta-blocker therapy and higher ejection fraction were renoprotective. Older age was associated with a greater risk of developing decreased renal function in both groups, but significantly more so in the enalapril group (enalapril: risk ratio [RR] 1.42 per 10 years, 95% confidence interval [CI] 1.32-1.52 with enalapril; placebo: RR 1.18, 95% CI 1.12-1.25). Diuretic therapy was likewise associated with a greater risk of decreased renal function in the enalapril group (RR 1.89, 95% CI 1.70-2.08) than in the placebo group (RR 1.35, 95% CI 1.09-1.66). Conversely, enalapril had a relative renoprotective effect (RR 1.33, 95% CI 1.13-1.53) compared with placebo (RR 1.96, 95% CI 1.57-2.44) in patients with diabetes. A lower risk of renal impairment was seen in both groups with beta-blocker therapy (RR 0.70, 95% CI 0.57-0.85) and higher baseline ejection fraction (RR 0.93 per 5% increment, 95% CI 0.91-0. 96).

CONCLUSIONS

Enalapril use caused a 33% increase in the risk of decreased renal function in patients with CHF. Diuretic use and advanced age increased this risk. Diabetes was associated with an increased risk of renal impairment in all patients with CHF, but this risk was reduced in the enalapril group compared with the placebo group. beta-Blocker therapy and higher ejection fraction were renoprotective in all patients regardless of therapy.

Use of angiotensin-converting enzyme inhibitors as monotherapy and in combination with diuretics and calcium channel blockers

Angiotensin-converting enzyme (ACE) inhibitors have earned an important place in medical therapy since their discovery about two decades ago. This family of drug has grown tremendously since the introduction of captopril in 1981. There are currently more than 14 ACE inhibitors in the world and 9 are available in the United States. Although these agents share many similarities, they differ in their pharmacokinetic properties, approved indications, and cost. This paper provides guidance for selection of ACE inhibitors by examining the pharmacokinetics, pharmacodynamics, drug interactions, adverse effects, and cost of these agents. Combination products of ACE inhibitors with either diuretics or calcium channel blockers also are reviewed.

Angiotensin-converting enzyme inhibitor-induced angioedema: late onset, irregular course, and potential role of triggers

Angioedema is a rare but potentially life-threatening adverse effect of angiotensin-converting enzyme inhibitors (ACEI) which usually occurs within the first weeks of therapy. We report three patients in whom ACEI-induced angioedema began with a late onset of 12-33 months, and who had an irregular, unpredictable course under ACEI therapy. In two patients, other drugs or trauma appeared to trigger some of the episodes. After withdrawal of the ACEI, the trigger drugs were well tolerated in provocation tests and upon re-exposure. To avoid putting some patients unnecessarily at risk for long periods, one should consider this irregular pattern of ACEI-induced angioedema and regularly monitor patients for this adverse effect.