Verlängerung der QT-Zeit
Varianten ✨Für die rechenintensive Bewertung der Varianten bitte das kostenpflichtige Standard Abonnement wählen.
Eklärungen für Patienten zu den Wirkstoffen
Für die Kombination von Abarelix und Thioridazin liegen uns keine zusätzlichen Warnhinweise vor. Bitte konsultieren Sie zusätzlich die jeweiligen Fachinformationen.
Die genannten Expositionsveränderungen beziehen sich jeweils auf Veränderungen der Plasmakonzentrations-Zeit-Kurve [ AUC ]. Für Abarelix erwarten wir keine Veränderung der Exposition, wenn eine Kombination mit Thioridazin (100%) erfolgt. Für Thioridazin erwarten wir keine Veränderung der Exposition, wenn eine Kombination mit Abarelix (100%) erfolgt.
Für die Berechnung der individuellen Expositionsveränderungen durch die Wechselwirkungen werden als Ausgangsbasis die pharmakokinetischen Parameter der durchschnittlichen Population verwendet.
Für Abarelix ist die Bioverfügbarkeit nicht bekannt. Die terminale Halbwertszeit [ t12 ] ist mit 316.8 Stunden eher lang und konstante Plasmaspiegel [ Css ] werden erst nach mehr als 1267.2 Stunden erreicht. Die Proteinbindung [ Pb ] ist mit 97.5% stark. Die Metabolisierung über Cytochrome wird aktuell noch bearbeitet.
Für Thioridazin ist die Bioverfügbarkeit nicht bekannt. Die terminale Halbwertszeit [ t12 ] beträgt 22.5 Stunden und konstante Plasmaspiegel [ Css ] werden ungefähr nach 90 Stunden erreicht. Das therapeutische Fenster ist eng und die Sicherheitsmarge daher klein. Schon kleine Expositionsänderungen können das Toxizitätsrisiko erhöhen. Die Proteinbindung [ Pb ] ist nicht bekannt. Die Metabolisierung findet vor allem über CYP2D6 statt.
|Serotonerge Effekte a||0||Ø||Ø|
Bewertung: Gemäss unseren Erkenntnissen erhöhen weder Abarelix noch Thioridazin die serotonerge Aktivität.
|Kiesel & Durán b||3||Ø||+++|
Empfehlung: Insbesondere nach einer Dosiserhöhung und bei Dosierungen im oberen therapeutischen Bereich sollte vorsichtshalber auf anticholinerge Symptome geachtet werden.
Bewertung: Das Thioridazin erhöht die anticholinerge Aktivität stark. Gemäss unseren Erkenntnisse erhöht Abarelix nicht die anticholinerge Aktivität.
Verlängerung der QT-Zeit
Bewertung: In Kombination können Abarelix und Thioridazin potentiell ventrikuläre Arrhythmien vom Typ Torsades de pointes auslösen.
|Orthostatische Hypotonie||1.0 %||n.a.||+|
Inadäquate Wärmeregulierung: Thioridazin
Malignes neuroleptisches Syndrom: Thioridazin
Verschwommenes Sehen: Thioridazin
Epitheliale Keratopathie: Thioridazin
Verstopfte Nase: Thioridazin
Plötzlicher Herztod: Thioridazin
Paralytischer Ileus: Thioridazin
Lupus erythematodes: Thioridazin
Basierend auf Ihren
Abstract: The pharmacokinetics of thioridazine and its metabolites were studied in 19 healthy male subjects: 6 slow and 13 rapid hydroxylators of debrisoquin. The subjects received a single 25 mg oral dose of thioridazine, and blood samples were collected during 48 hours. Concentrations of thioridazine and metabolites in serum were measured by HPLC. Slow hydroxylators of debrisoquin obtained higher serum levels of thioridazine with a 2.4-fold higher Cmax and a 4.5-fold larger AUC(0-infinity) associated with a twofold longer half-life compared with that of rapid hydroxylators. The side-chain sulphoxide (mesoridazine) and sulphone (sulphoridazine), which are active metabolites, appeared more slowly in serum and had lower Cmax values, but comparable AUC. The thioridazine ring-sulphoxide attained higher Cmax and 3.3-fold higher AUC in slow hydroxylators than in rapid hydroxylators of debrisoquin. Thus the formation of mesoridazine from thioridazine and the 4-hydroxylation of debrisoquin seem to be catalyzed by the same enzyme, whereas the formation of thioridazine ring-sulphoxide is probably formed mainly by another enzyme.
Abstract: Plasma and red blood cell levels of haloperidol, thioridazine, and thioridazine's main metabolite mesoridazine were measured in schizophrenic outpatients during treatment with fixed doses of haloperidol or thioridazine for several months. These drug levels were compared to those in schizophrenic inpatients treated with fixed doses of the same neuroleptics. There were large interpatient variations in plasma and red blood cell levels at a given dose for schizophrenic outpatients as well as for inpatients. The intrapatient day-to-day fluctuation was much greater in the outpatients. The mean coefficient of variation of thioridazine or mesoridazine levels was about two-fold higher in schizophrenic outpatients than in inpatients. Differences in blood sampling time or compliance in medication ingestion do not fully explain the issue. The factors accounting for the increased intrapatient variability of plasma levels of thioridazine, mesoridazine, and haloperidol in schizophrenic outpatients remain unclear.
Abstract: No Abstract available
Abstract: No Abstract available
Abstract: Anticholinergic Drug Scale (ADS) scores were previously associated with serum anticholinergic activity (SAA) in a pilot study. To replicate these results, the association between ADS scores and SAA was determined using simple linear regression in subjects from a study of delirium in 201 long-term care facility residents who were not included in the pilot study. Simple and multiple linear regression models were then used to determine whether the ADS could be modified to more effectively predict SAA in all 297 subjects. In the replication analysis, ADS scores were significantly associated with SAA (R2 = .0947, P < .0001). In the modification analysis, each model significantly predicted SAA, including ADS scores (R2 = .0741, P < .0001). The modifications examined did not appear useful in optimizing the ADS. This study replicated findings on the association of the ADS with SAA. Future work will determine whether the ADS is clinically useful for preventing anticholinergic adverse effects.
Abstract: BACKGROUND: Adverse effects of anticholinergic medications may contribute to events such as falls, delirium, and cognitive impairment in older patients. To further assess this risk, we developed the Anticholinergic Risk Scale (ARS), a ranked categorical list of commonly prescribed medications with anticholinergic potential. The objective of this study was to determine if the ARS score could be used to predict the risk of anticholinergic adverse effects in a geriatric evaluation and management (GEM) cohort and in a primary care cohort. METHODS: Medical records of 132 GEM patients were reviewed retrospectively for medications included on the ARS and their resultant possible anticholinergic adverse effects. Prospectively, we enrolled 117 patients, 65 years or older, in primary care clinics; performed medication reconciliation; and asked about anticholinergic adverse effects. The relationship between the ARS score and the risk of anticholinergic adverse effects was assessed using Poisson regression analysis. RESULTS: Higher ARS scores were associated with increased risk of anticholinergic adverse effects in the GEM cohort (crude relative risk [RR], 1.5; 95% confidence interval [CI], 1.3-1.8) and in the primary care cohort (crude RR, 1.9; 95% CI, 1.5-2.4). After adjustment for age and the number of medications, higher ARS scores increased the risk of anticholinergic adverse effects in the GEM cohort (adjusted RR, 1.3; 95% CI, 1.1-1.6; c statistic, 0.74) and in the primary care cohort (adjusted RR, 1.9; 95% CI, 1.5-2.5; c statistic, 0.77). CONCLUSION: Higher ARS scores are associated with statistically significantly increased risk of anticholinergic adverse effects in older patients.
Abstract: The objective of this study was to measure the anticholinergic activity (AA) of medications commonly used by older adults. A radioreceptor assay was used to investigate the AA of 107 medications. Six clinically relevant concentrations were assessed for each medication. Rodent forebrain and striatum homogenate was used with tritiated quinuclidinyl benzilate. Drug-free serum was added to medication and atropine standard-curve samples. For medications that showed detectable AA, average steady-state peak plasma and serum concentrations (C(max)) in older adults were used to estimate relationships between in vitro dose and AA. All results are reported in pmol/mL of atropine equivalents. At typical doses administered to older adults, amitriptyline, atropine, clozapine, dicyclomine, doxepin, L-hyoscyamine, thioridazine, and tolterodine demonstrated AA exceeding 15 pmol/mL. Chlorpromazine, diphenhydramine, nortriptyline, olanzapine, oxybutynin, and paroxetine had AA values of 5 to 15 pmol/mL. Citalopram, escitalopram, fluoxetine, lithium, mirtazapine, quetiapine, ranitidine, and temazepam had values less than 5 pmol/mL. Amoxicillin, celecoxib, cephalexin, diazepam, digoxin, diphenoxylate, donepezil, duloxetine, fentanyl, furosemide, hydrocodone, lansoprazole, levofloxacin, metformin, phenytoin, propoxyphene, and topiramate demonstrated AA only at the highest concentrations tested (patients with above-average C(max) values, who receive higher doses, or are frail may show AA). The remainder of the medications investigated did not demonstrate any AA at the concentrations examined. Psychotropic medications were particularly likely to demonstrate AA. Each of the drug classifications investigated (e.g., antipsychotic, cardiovascular) had at least one medication that demonstrated AA at therapeutic doses. Clinicians can use this information when choosing between equally efficacious medications, as well as in assessing overall anticholinergic burden.
Abstract: OBJECTIVES: To examine the longitudinal relationship between cumulative exposure to anticholinergic medications and memory and executive function in older men. DESIGN: Prospective cohort study. SETTING: A Department of Veterans Affairs primary care clinic. PARTICIPANTS: Five hundred forty-four community-dwelling men aged 65 and older with diagnosed hypertension. MEASUREMENTS: The outcomes were measured using the Hopkins Verbal Recall Test (HVRT) for short-term memory and the instrumental activity of daily living (IADL) scale for executive function at baseline and during follow-up. Anticholinergic medication use was ascertained using participants' primary care visit records and quantified as total anticholinergic burden using a clinician-rated anticholinergic score. RESULTS: Cumulative exposure to anticholinergic medications over the preceding 12 months was associated with poorer performance on the HVRT and IADLs. On average, a 1-unit increase in the total anticholinergic burden per 3 months was associated with a 0.32-point (95% confidence interval (CI)= 0.05-0.58) and 0.10-point (95% CI=0.04-0.17) decrease in the HVRT and IADLs, respectively, independent of other potential risk factors for cognitive impairment, including age, education, cognitive and physical function, comorbidities, and severity of hypertension. The association was attenuated but remained statistically significant with memory (0.29, 95% CI=0.01-0.56) and executive function (0.08, 95% CI=0.02-0.15) after further adjustment for concomitant non-anticholinergic medications. CONCLUSION: Cumulative anticholinergic exposure across multiple medications over 1 year may negatively affect verbal memory and executive function in older men. Prescription of drugs with anticholinergic effects in older persons deserves continued attention to avoid deleterious adverse effects.
Abstract: BACKGROUND: Cognitive decline is common in Parkinson's disease (PD). Although some of the aetiological factors are known, it is not yet known whether drugs with anticholinergic activity (AA) contribute to this cognitive decline. Such knowledge would provide opportunities to prevent acceleration of cognitive decline in PD. OBJECTIVE: To study whether the use of agents with anticholinergic properties is an independent risk factor for cognitive decline in patients with PD. METHODS: A community-based cohort of patients with PD (n=235) were included and assessed at baseline. They were reassessed 4 and 8 years later. Cognition was assessed using the Mini-Mental State Examination (MMSE). A detailed assessment of the AA of all drugs prescribed was made, and AA was classified according to a standardised scale. Relationships between cognitive decline and AA load and duration of treatment were assessed using bivariate and multivariate statistical analyses. RESULTS: More than 40% used drugs with AA at baseline. During the 8-year follow-up, the cognitive decline was higher in those who had been taking AA drugs (median decline on MMSE 6.5 points) compared with those who had not taken such drugs (median decline 1 point; p=0.025). In linear regression analyses adjusting for age, baseline cognition and depression, significant associations with decline on MMSE were found for total AA load (standardised beta=0.229, p=0.04) as well as the duration of using AA drugs (standardised beta 0.231, p=0.032). CONCLUSION: Our findings suggest that there is an association between anticholinergic drug use and cognitive decline in PD. This may provide an important opportunity for clinicians to avoid increasing progression of cognitive decline by avoiding drugs with AA. Increased awareness by clinicians is required about the classes of drugs that have anticholinergic properties.
Abstract: BACKGROUND: Anticholinergic drugs put elderly patients at a higher risk for falls, cognitive decline, and delirium as well as peripheral adverse reactions like dry mouth or constipation. Prescribers are often unaware of the drug-based anticholinergic burden (ACB) of their patients. This study aimed to develop an anticholinergic burden score for drugs licensed in Germany to be used by clinicians at prescribing level. METHODS: A systematic literature search in pubmed assessed previously published ACB tools. Quantitative grading scores were extracted, reduced to drugs available in Germany, and reevaluated by expert discussion. Drugs were scored as having no, weak, moderate, or strong anticholinergic effects. Further drugs were identified in clinical routine and included as well. RESULTS: The literature search identified 692 different drugs, with 548 drugs available in Germany. After exclusion of drugs due to no systemic effect or scoring of drug combinations (n = 67) and evaluation of 26 additional identified drugs in clinical routine, 504 drugs were scored. Of those, 356 drugs were categorised as having no, 104 drugs were scored as weak, 18 as moderate and 29 as having strong anticholinergic effects. CONCLUSIONS: The newly created ACB score for drugs authorized in Germany can be used in daily clinical practice to reduce potentially inappropriate medications for elderly patients. Further clinical studies investigating its effect on reducing anticholinergic side effects are necessary for validation.