Abstract
Introduction:
A titration within a certain therapeutic reference range presupposes a relationship between the blood concentration and the therapeutic effect of a drug. However, this has not been systematically investigated for escitalopram. Furthermore, the recommended reference range disagrees with mean steady state concentrations (11–21 ng/ml) that are expected under the approved dose range (10–20 mg/day). This work systematically investigated the relationships between escitalopram dose, blood levels, clinical effects, and serotonin transporter occupancy.
Methods:
Following our previously published methodology, relevant articles were systematically searched and reviewed for escitalopram.
Results:
Of 1,032 articles screened, a total of 30 studies met the eligibility criteria. The included studies investigated escitalopram blood levels in relationship to clinical effects (9 studies) or moderating factors on escitalopram metabolism (12 studies) or serotonin transporter occupancy (9 studies). Overall, the evidence for an escitalopram concentration/effect relationship is low (level C).
Conclusion:
Based on our findings, we propose a target range of 20–40 ng/ml for antidepressant efficacy of escitalopram. In maintenance treatment, therapeutic response is expected, when titrating patients above the lower limit. The lower concentration threshold is strongly supported by findings from neuroimaging studies. The upper limit for escitalopram’s reference range rather reflects a therapeutic maximum than a tolerability threshold, since the incidence of side effects in general is low. Concentrations above 40 ng/ml should not necessarily result in dose reductions in case of good clinical efficacy and tolerability. Dose-related escitalopram concentrations in different trials were more than twice the expected concentrations from guideline reports.
Systematic review registration:
[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=215873], identifier [CRD42020215873].
Introduction
Among the antidepressant drug class of selective serotonin reuptake inhibitors (SSRIs), escitalopram (ESC), the active S-enantiomer of racemic citalopram, shows the highest serotonin transporter (SERT) selectivity (–). ESC is primarily approved for the treatment of major depressive disorder (MDD) and generalized anxiety disorder. To attain optimal remission, drug monitoring guided dosing for ESC is highly recommended within a concentration range between 15 and 80 ng/ml (). A titration within a certain therapeutic reference range (TRR) presupposes a valid relationship between the blood concentration and the therapeutic effect of a drug. However, a concentration/effect relationship has not been systematically explored for ESC (). Furthermore, the recommended TRR deviates with mean steady state concentrations of 11–21 ng/ml that are expected under the approved dose range of 10–20 mg/day (). Positron emission tomography (PET) studies have shown that drug concentrations in blood correlate well with SERT occupancy. Evidence was given that a target engagement of 80% SERT occupancy corresponds to clinical efficacy (). For objective assessment of a TRR for ESC, the aims of this review were to evaluate the association between ESC blood levels (BL) and clinical outcome or BL and SERT occupancy.
Materials and methods
The systematic literature review was conducted following our previously published protocol () and relevant guidelines () including a quality control of studies and grading of available evidence (). Four databases (MEDLINE via the PubMed interface, the Web of Science Core Collection, PsycINFO, and Cochrane Library) were screened using search terms for ESC, BL, therapeutic drug monitoring (TDM), PET and single-photon emission computed tomography (SPECT) (full search strings see Supplementary Table 1 in the Supplementary material). Our initial searches were carried out in October 2020 and were updated in March 2022 (for Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Flowchart of study selection see Figure 1). Inclusion and exclusion criteria are presented in detail in the Supplementary material (Supplementary Table 2). Data extraction was performed according to our protocol (). All steps were performed by two independent review authors (LE, XMH) and compared. We contacted authors of eligible trials for additional data, whenever concentration data was not complete. Our review protocol was registered on PROSPERO international prospective register of systematic reviews (CRD42020215873).
FIGURE 1
Quality assessment of relevant studies and level of evidence
Six reviewers (LE, XMH, GH, MK, GG, MG) independently rated the quality of all included studies according to a previously reported rating instrument to assess the quality of TDM components of the studies and reporting (
Qualitative and quantitative synthesis
Reports were identified that examined an association between ESC and clinical outcome, either efficacy or side effects. These could be qualitative or quantitative, continuous or categorical, but required a structured clinical assessment using a rating scale. Factors that influenced ESC BL in patients were extracted. Studies that reported SERT occupancy in relation to ESC BL were extracted, and 80% effective concentrations (EC80 values) were calculated from the reported 50% effective concentrations (EC50 values). For quantitative synthesis, means, standard deviations (SDs), medians, and interquartile ranges (IQR) of the relevant BLs were assessed. Means and SDs of C/D ratios were selected. Data were either extracted from the manuscript or calculated manually when sufficient data was given.
Statistical analysis
A combined meta-analysis was performed using the software R (Version 4.0.3) “metafor” and “meta” package. 95% confidence intervals (CIs) were calculated from mean concentrations and C/D values. Data was combined using random-effect models based on the I2 statistic. Four quality assessment criteria that could have a potential influence on the clinical validity of a reference range were identified a priory (Q2b “diagnosis depression,” Q3a “psychiatric comedication,” Q3b “cytochrome P450 (CYP) interfering comedication,” and Q4 “dose design”). Their impact as moderating factors on mean BLs were investigated by subgroup analyses of studies rated sufficient or insufficient on those criteria if a minimum of three records were available. Linear regression analysis was used to display the relationship between ESC dose and ESC BL.
Study overview
For initially identified 647 articles excluding duplicates, 590 papers were rejected after reviewing title/abstract. Another 26 articles were excluded after full text screening, resulting in the inclusion of a total of 31 articles (
Risk of bias rating
General quality criteria for the TDM component were assessed for all 30 studies as shown in Supplementary Table 4 and Supplementary Figure 1. None of the studies was able to fulfill all TDM quality criteria. The most frequently missed criterion was “dose design” (Q4) due to flexible dosing in naturalistic settings. The second most frequently missed criterion was multiple concentration measurements (Q7a), whereas “sufficiently broad concentration range” (Q7b) was sufficient in most studies. “Comedication” (Q3) was rated as insufficient in 14 studies, mostly because of missing information. Most studies were retrospective in nature and included a heterogeneous patient sample according to “diagnosis” (Q2b). The majority of concentration/metabolism studies failed to select patients according to psychiatric classifications and the associated classification system, whereas the other study types usually did (Q2a). “Representativeness of the patient sample” (Q1) was not met by reason of healthy subjects in most of the included neuroimaging studies. Due to patient selection based on a genotype database, this criterion (Q1) was also not met in half of the concentration/metabolism studies, while most of the concentration-effect studies were able to meet. The analytical method (Q5) was rated as insufficient in 9 studies because description was insufficient or no validated analytical method was used. Sampling time (Q6b) and steady state (Q6a) were reported in the majority of selected studies. Study type specific quality assessment scores (ST scores) for cohort studies ranged from 3 to 10 (with a maximum score of 10), for cross sectional studies from 4 to 7 (with a maximum score of 8) and randomized controlled studies were assessed with some concerns to high risk of bias (results shown in Supplementary Tables 5–7 and Supplementary Figure 2).
Results
ESC concentration/efficacy relationship
Eight studies measured disease severity using psychiatric rating scales (
ESC concentration/side effect relationship
Five studies were identified that evaluated side effects during ESC treatment (Table 1). Of these, two were prospective cohort studies, two were randomized, controlled trials, and one was a cross-sectional study. One study investigated patients after ESC discontinuation and was excluded from analysis (
TABLE 1
| References | Study design and subjects | PD comed.* | ST score | TDM score | BL/antidepressant effect relationship | BL/side effect relationship | Comment |
| Florio et al. ( | pCS with flexible doses (mean 15 mg/d); MDD; N: 70 | No | 5/10 | 9/10 | + (HAMD-21A) | N/A | Focus on BL/effect-relationship. |
| Hodgson et al. ( | RCT with flexible doses (mean 16 mg/d); UD; N: 266 (2014), 340 (2015) | No | High risk | 8/10 | – at high BL/ Ø for dose-corrected BL (MADRS) | –dry mouth (ASEC) | Focus on genotyping. |
| Yasui-Furukori et al. ( | pCS with fixed doses (mean 5 mg/d); ADS; N: 25 | No | 6/10 | 7/10 | N/A | –(DESS) | No value for TRR (ADS was investigated). |
| Kuo et al. ( | pCS with flexible doses (mean 10 mg/d); MDD; N: 158 | No | 8/10 | 9/10 | Ø (HAM-D, HAM-A, CGI-S, CGI-I) | ± dry mouth, fatigue, nausea (TESS) | Focus on genotyping. Correlation between CYP1A2 SNPs and ADRs. No direct correlation of ADRs with BL. |
| Tadic et al. ( | RCT with fixed doses (mean 19 mg/d); MDD; N: 889 | No | some concerns | 8/10 | Ø (HAMD-17) | Ø (ADR frequency) | |
| Leuchter et al. ( | RCT with fixed doses (mean 10 mg/d); MDD; N: 73 | No | high risk | 6/10 | Ø (HAMD-17) | N/A |
Studies investigating efficacy and/or side effects of ESC treatment, sorted by relevance.
PD Comed., Concomitant psychotropic medication with antidepressant efficacy; QA, quality assessment; pCS, prospective cohort study; N/A, not available; Ø, not found; +, positive correlation; –, negative correlation; BL, blood level; TRR, therapeutic reference range; MDD, major depressive disorder; UD, unipolar depression; ADS, antidepressants discontinuation syndrome; N, Subjects treated with ESC, *except for benzodiazepines.
ESC concentration/serotonin transporter occupancy relationship
Nine studies were identified that investigate ESC BL in relation to SERT occupancy in the human brain (
TABLE 2
| References | No of subjects (males in%) | Mean age ± SD (years), if not specified other | Indication | Country | Steady state | EC80 in ng/ml | Brain region |
| Arakawa et al. ( | 16 (50) | 29.1 ± 4.6 | HV | Japan | no | 16.0 | Thalamus |
| Kim et al. ( | 12 (100) | 23.0 ± 2.7 | HV | Korea | no | 17.2* 11.6* | Putamen DRN |
| Lanzenberger et al. ( | 10 (40) | 42.3 ± 7.8 | MDD | Austria | yes | 17.5** | Thalamus |
EC80 values from neuroimaging studies.
*SPECT study (semiquantitative); **Data derived from Baldinger et al. (
Factors influencing ESC blood level
Twelve studies were identified that reported ESC concentrations and the influence of potential moderating factors shown in Table 3 (21–
TABLE 3
| References | CYP2C19 genotype | Dose | Sex | Age | Body weight | Smoking | Comedication |
| Bråten et al. ( | X1 | – | |||||
| Jukić et al. ( | X2 | ||||||
| Reis et al. ( | X6 | – | X12 | – | – | –21 | |
| Reis et al. ( | X7 | X9 | X13 | ||||
| Rudberg et al. ( | X3 | ||||||
| Rudberg et al. ( | X4 | ||||||
| Scherf-Clavel et al. ( | X8 | X9 | –14 | X20 | |||
| Tsuchimine et al. ( | X5 | X8 | X15 | –18 | |||
| Unterecker et al. ( | –19 | ||||||
| Unterecker et al. ( | –10 | –16 | |||||
| Waade et al. ( | X | X11 | X17 | ||||
| Warrings et al. ( | – |
Factors influencing ESC serum concentration (SC).
X = correlation found; – = no correlation found; blank = not reported; bold = clinically relevant.
Genotype (if not specified other decrease/increase of ESC SC compared to CYP2C19*1/*1 group).
1Compared to baseline (no carriers of CYP2C19Null, CYP2C19*17, CYP2C:TG haplotypes): 1x/2x CYP2C:TG -16.7%/–24.8%; 1x/2x CYP2C19*17 –13.9%/–17.2%; 1x/2x CYP2C19Null (non–functioning alleles CYP2C19*2, *3 or *4) + 47%/ + 150%.
2CYP2C19*2/*2: + 230%; CYP2C19*2/*1: + 60%; CYP2C19*2/*17: + 40%; CYP2C19*1/*17: –10%; CYP1C19*17/*17: –20%.
3Non–dose–corrected SC: CYP2C19*2/*1: + 150%.
4Dose–adjusted SC: CYP2C19*17/*17: –42%; CYP2C19*1/*17: –13%; CYP2C19*17/def(*2 or *3 alleles): + 30%; CYP2C19*1/def: + 90%; CYP2C19def/def: + 470%.
5Significant difference among genotype groups in the dose–corrected steady–state SC.
Dose
6Dose–concentration linearity.
7Lower C/D ratios with increasing doses.
8ESC SC significantly increased with dose.
Sex
9Higher ESC SC in women vs men.
10No significant difference between males and females in the mean dose–corrected ESC SC.
11 + 80% higher C/D ratio in women vs men.
Age
12Higher age correlated with > ESC dose–normalized SC.
13 + 91% increase of ESC SC in subjects > 65y compared to subjects < 65 years at 10 mg/d.
14Linear regression analysis showed no influence of age (P = 0.301).
15Analysis of covariance: CYP2C19 genotypes and age were correlated with the steady–state ESC SC.
16No significant difference between patients < 60 years and patients > 60 years regarding the mean dose–corrected ESC SC.
17+40% higher mean C/D ratio in patients > 65 years, than in patients < 40 years (not significant in CYP2C19 PM, significant in other subgroups of CYP2C19 phenotype).
Body weight
18Analysis of covariance showed that CYP2C19 genotypes and body weight were not correlated with steady–state ESC SC.
19Referring to dose–corrected SC.
Smoking
20–24% lower ESC SC in smokers compared to non-smokers.
Comedication
21Concomitant medication did not interact with ESC. Women taking oral contraceptives had < metabolic ratio compared to women of the same age.
CYP2C19 genotyping
Six studies showed an association between ESC BL and CYP2C19 metabolism (
Sex
Another six studies examined the effect of sex on ESC BL (
Age
Six studies examined the effect of age on ESC BL (
Body weight
Four studies found no effect of body weight on ESC BL (
Smoking
One study found an effect of smoking on ESC metabolism (
Comedication
One study examined concomitant medications (heterogeneous group of different central nervous and somatic drugs) that did not interact with ESC metabolism (
Dose/concentration relationship
Four TDM studies reported a linear correlation between ESC dose and BLs (
TABLE 4
| Author, year | Reference group | Dx | n | Mean | Combined mean C/D ratio* | 5 mg/day | 10 mg/day | 15 mg/day | 20 mg/day | 25 mg/day |
| Reis et al. ( | Somatically not healthy | mDx | 45 | 1.67 | 1.23 | 6 | 12 | 18 | 25 | 31 |
| somatically healthy | 89 | 1.00 | ||||||||
| Reis et al. ( | 10 mg dose | mDx | 1470 | 1.14 | 1.09 | 5** | 11** | 16** | 22** | 27** |
| 20 mg dose | 883 | 1.00 | ||||||||
| Scherf-Clavel et al. ( | Smokers | mDx | 36 | 1.69 | 2.22 | 11** | 22** | 33** | 44** | 56** |
| Non-smokers | 88 | 2.44 | ||||||||
| Warrings et al. ( | in- and outpatients | mDx | 104 | 2.47 | 2.47 | 12** | 25** | 37** | 49** | 62** |
| Hiemke et al. ( | young, male and female, somatically healthy | mDx | NA | 1.05 | 5** | 11** | 16** | 21** | 26** |
Expected ESC concentration [ng/ml] based on combined mean C/D ratio.
Dx: diagnose; mDx: multiple psychiatric diagnosis; N: naturalistic study setting, * [ng/ml/mg/day]. **Expected ESC concentration [ng/ml] based on the combined mean C/D ratio at administered dose [mg/day].
Population-based target concentration range for ESC
Of 31 studies, 12 studies could be included in a quantitative synthesis (
FIGURE 2

Combined mean ESC concentrations, n = 5,031.
FIGURE 3

Combined ESC mean ± 1 SD and interquartile concentration ranges, n = 4,295.
Discussion
The present work systematically explored concentration efficacy assumptions for the antidepressant drug escitalopram following a guideline-like methodology. Evidence for concentration/efficacy relationships of psychotropic drugs are in general low. This holds also true for the antidepressant drug escitalopram. None of the studies included in the present review examined a therapeutic reference range for ESC.
Our findings revealed an IQR (25–75%) of ESC concentrations across seven studies (n = 4,295) that is 15–39 ng/ml (trough levels 24 h after drug intake). While reporting a similar IQR range in the total sample (15–37 ng/ml), one study reported an IQR for responders of 24–54 ng/ml (
For the upper threshold of ESCs’ reference range, we report a concentration threshold of 40 ng/ml that rather reflects an optimum in antidepressant response than decreased tolerability. 75% of all patients included in our metaanalysis showed drug concentrations below this threshold. As escitalopram is well tolerated with blood levels exceeding 40 ng/ml, serum concentrations above the upper threshold do not require a dose reduction in case of good clinical response and tolerability. Side effects seem not to limit ESC drug treatment, although the effect of increasing ESC BL on corrected QT (QTc) interval is controversially pointed out (
The interpretation of highly varying dose-related concentration ranges raises questions. Firstly, dose corrected concentrations widely vary among studies (Table 4). A clear relationship cannot be established, not least due to highly varying sample compositions in terms of ethnicity, CYP2C19 polymorphisms, age and sex (Supplementary Table 8). This gives a strong indication for TDM of ESC, especially during dosing phases. An evident gap exists between real world dose-corrected concentrations and guideline reports (up to 2.47 vs. 1.05). Thus, at least in real world settings, ESC concentrations seem to vary strongly, but in general mean BLs will lie within the recommended efficacy range suggested in this work. Dose adaption might be required in elderly persons, in women, and in CYP2C19 poor metabolizers (Table 3).
A suggested reference range is strongly limited by the quality of the underlying study design that highly varied among studies. The presented information was mostly extracted from naturalistic TDM studies or small non-controlled studies. Since blood concentration measures are not prerequisite in drug approval, information from large pharmaceutical sponsored clinical trials were lacking. High quality randomized controlled trials investigating concentration efficacy relationships are missing as well as studies using a placebo lead-in phase. The inclusion of placebo responders might result in artificial concentration/effect relationships (
The present work aimed at providing a comprehensive overview of the efficacy and safety of ESC with regard to blood concentration ranges. As our primary focus is a concentration/effect relationship, we did not consider dose/response studies although these could have been provided additional insights, especially in regard to the upper limit of ESC, which might rather be related to a ceiling effect than to drug safety. There have been regulatory warnings for both citalopram and escitalopram on QT prolongation regardless of CYP2C19 phenotype (
Conclusion
Based on our results, we suggest a target range of 20–40 ng/ml for ESC’s antidepressant efficacy. The lower level hereby indicates a threshold for antidepressant response in maintenance therapy that is strongly supported by neuroimaging findings. Since the incidence of adverse drug reactions in ESC-treated patients was low to not quantifiable, the upper level of ESC is most likely best described by a maximum in clinical response (ceiling effect). A titration in concentration ranges above 40 ng/ml will most likely not result in a further increase in response in patients with insufficient response. However, concentrations above this range seem in general safe and should not lead to dose reductions in case of good response and tolerability.
Dose-related ESC concentrations measured in the different trials were more than twice the concentrations that would be expected for the given doses (
Statements
Data availability statement
The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
LE developed the first draft of the protocol. XMH and GG supervised the entire manuscript writing and contributed to the revision of the protocol. XMH, LE, and GG contributed to the development of the search strategy. XMH, LE, GG, GH, MK, MG, and TGR contributed to the quality assessment. LE, XMH, CH, GG, AC, JE, MG, UH-R, GH, VF, MK, KL, MR, TGR, AS, GS, and GZ confirmed grading of the level of revealed evidence. All authors have read and approved the final manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.972141/full#supplementary-material
References
1.
SanchezCBergqvistPBBrennumLTGuptaSHoggSLarsenAet alEscitalopram, the S-(+)-enantiomer of citalopram, is a selective serotonin reuptake inhibitor with potent effects in animal models predictive of antidepressant and anxiolytic activities.Psychopharmacology. (2003) 167:353–62. 10.1007/s00213-002-1364-z
2.
OwensMJKnightDLNemeroffCB. Second-generation ssris: Human monoamine transporter binding profile of escitalopram and R-fluoxetine.Biol Psychiatry. (2001) 50:345–50. 10.1016/s0006-3223(01)01145-3
3.
SanchezCReinesEHMontgomerySA. A comparative review of escitalopram, paroxetine, and sertraline: Are they all alike?Int Clin Psychopharmacol. (2014) 29:185–96. 10.1097/YIC.0000000000000023
4.
HiemkeCBergemannNClementHWConcaADeckertJDomschkeKet alConsensus guidelines for therapeutic drug monitoring in neuropsychopharmacology: Update 2017.Pharmacopsychiatry. (2018) 51:9–62. 10.1055/s-0043-116492
5.
de LeonJA. Critical commentary on the 2017 agnp consensus guidelines for therapeutic drug monitoring in neuropsychopharmacology.Pharmacopsychiatry. (2018) 51:63–8. 10.1055/s-0043-117891
6.
MeyerJHWilsonAASagratiSHusseyDCarellaAPotterWZet alSerotonin transporter occupancy of five selective serotonin reuptake inhibitors at different doses: An [11c]dasb positron emission tomography study.Am J Psychiatry. (2004) 161:826–35. 10.1176/appi.ajp.161.5.826
7.
HartXMEichentopfLLenseXRiemerTWesnerKHiemkeCet alTherapeutic reference ranges for psychotropic drugs: A protocol for systematic reviews.Front Psychiatry. (2021) 12:787043. 10.3389/fpsyt.2021.787043
8.
PageMJMcKenzieJEBossuytPMBoutronIHoffmannTCMulrowCDet alThe prisma 2020 statement: An updated guideline for reporting systematic reviews.BMJ. (2021) 372:n71. 10.1136/bmj.n71
9.
SterneJACSavovicJPageMJElbersRGBlencoweNSBoutronIet alRob 2: A revised tool for assessing risk of bias in randomised trials.BMJ. (2019) 366:l4898. 10.1136/bmj.l4898
10.
McGuinnessLAHigginsJPT. Risk-of-bias visualization (Robvis): An R package and shiny web app for visualizing risk-of-bias assessments.Res Synth Methods. (2021) 12:55–61. 10.1002/jrsm.1411
11.
FlorioVPorcelliSSariaASerrettiAConcaA. Escitalopram plasma levels and antidepressant response.Eur Neuropsychopharmacol. (2017) 27:940–4. 10.1016/j.euroneuro.2017.06.009
12.
KuoHWLiuSCTsouHHLiuSWLinKMLuSCet alCyp1a2 genetic polymorphisms are associated with early antidepressant escitalopram metabolism and adverse reactions.Pharmacogenomics. (2013) 14:1191–201. 10.2217/pgs.13.105
13.
TadicAWachtlinDBergerMBrausDFvan CalkerDDahmenNet alRandomized controlled study of early medication change for non-improvers to antidepressant therapy in major depression – the Emc trial.Eur Neuropsychopharmacol. (2016) 26:705–16. 10.1016/j.euroneuro.2016.02.003
14.
HodgsonKTanseyKDernovsekMZHauserJHenigsbergNMaierWet alGenetic differences in cytochrome P450 enzymes and antidepressant treatment response.J Psychopharmacol. (2014) 28:133–41. 10.1177/0269881113512041
15.
HodgsonKTanseyKEUherRDernovšekMZMorsOHauserJet alExploring the role of drug-metabolising enzymes in antidepressant side effects.Psychopharmacology. (2015) 232:2609–17. 10.1007/s00213-015-3898-x
16.
JiYSchaidDJDestaZKuboMBatzlerAJSnyderKet alCitalopram and escitalopram plasma drug and metabolite concentrations: Genome-wide associations.Br J Clin Pharmacol. (2014) 78:373–83. 10.1111/bcp.12348
17.
LeuchterAFCookIAMarangellLBGilmerWSBurgoyneKSHowlandRHet alComparative effectiveness of biomarkers and clinical indicators for predicting outcomes of ssri treatment in major depressive disorder: Results of the brite-Md study.Psychiatry Res. (2009) 169:124–31. 10.1016/j.psychres.2009.06.004
18.
Lloret-LinaresCBosilkovskaMDaaliYGex-FabryMHeronKBancilaVet alPhenotypic assessment of drug metabolic pathways and P-glycoprotein in patients treated with antidepressants in an ambulatory setting.J Clin Psychiatry. (2018) 79:16m11387. 10.4088/JCP.16m11387
19.
SteenNEAasMSimonsenCDiesetITesliMNerhusMet alSerum level of venlafaxine is associated with better memory in psychotic disorders.Schizophr Res. (2015) 169:386–92. 10.1016/j.schres.2015.10.021
20.
Yasui-FurukoriNHashimotoKTsuchimineSTomitaTSugawaraNIshiokaMet alCharacteristics of escitalopram discontinuation syndrome: A preliminary study.Clin Neuropharmacol. (2016) 39:125–7. 10.1097/wnf.0000000000000139
21.
ReisMAamoTSpigsetOAhlnerJ. Serum concentrations of antidepressant drugs in a naturalistic setting: Compilation based on a large therapeutic drug monitoring database.Ther Drug Monit. (2009) 31:42–56. 10.1097/FTD.0b013e31819114ea
22.
ReisMChermáMDCarlssonBBengtssonF. Therapeutic drug monitoring of escitalopram in an outpatient setting.Ther Drug Monit. (2007) 29:758–66. 10.1097/FTD.0b013e31815b3f62
23.
Scherf-ClavelMDeckertJMenkeAUntereckerS. Smoking is associated with lower dose-corrected serum concentrations of escitalopram.J Clin Psychopharmacol. (2019) 39:485–8. 10.1097/jcp.0000000000001080
24.
WarringsBSamanskiLDeckertJUntereckerSScherf-ClavelM. Impact of body mass index on serum concentrations of antidepressants and antipsychotics.Ther Drug Monit. (2020) 43:286–91. 10.1097/ftd.0000000000000812
25.
BråtenLSHaslemoTJukicMMIvanovMIngelman-SundbergMMoldenEet alA novel Cyp2c-haplotype associated with ultrarapid metabolism of escitalopram.Clin Pharmacol Ther. (2021) 110:786–93. 10.1002/cpt.2233
26.
JukićMMHaslemoTMoldenEIngelman-SundbergM. Impact of Cyp2c19 genotype on escitalopram exposure and therapeutic failure: A retrospective study based on 2,087 patients.Am J Psychiatry. (2018) 175:463–70. 10.1176/appi.ajp.2017.17050550
27.
RudbergIHendsetMUthusLHMoldenERefsumH. Heterozygous mutation in Cyp2c19 significantly increases the concentration/dose ratio of racemic citalopram and escitalopram (S-Citalopram).Ther Drug Monit. (2006) 28:102–5. 10.1097/01.ftd.0000189899.23931.76
28.
RudbergIMohebiBHermannMRefsumHMoldenE. Impact of the ultrarapid Cyp2c19*17 allele on serum concentration of escitalopram in psychiatric patients.Clin Pharmacol Ther. (2008) 83:322–7. 10.1038/sj.clpt.6100291
29.
TsuchimineSOchiSTajiriMSuzukiYSugawaraNInoueYet alEffects of cytochrome P450 (Cyp) 2c19 genotypes on steady-state plasma concentrations of escitalopram and its desmethyl metabolite in Japanese patients with depression.Ther Drug Monit. (2018) 40:356–61. 10.1097/ftd.0000000000000506
30.
UntereckerSDeckertJPfuhlmannB. No influence of body weight on serum levels of antidepressants.Ther Drug Monit. (2011) 33:730–4. 10.1097/FTD.0b013e318237b0fa
31.
UntereckerSRiedererPProftFMaloneyJDeckertJPfuhlmannB. Effects of gender and age on serum concentrations of antidepressants under naturalistic conditions.J Neural Transm. (2013) 120:1237–46. 10.1007/s00702-012-0952-2
32.
WaadeRBHermannMMoeHLMoldenE. Impact of age on serum concentrations of venlafaxine and escitalopram in different Cyp2d6 and Cyp2c19 genotype subgroups.Eur J Clin Pharmacol. (2014) 70:933–40. 10.1007/s00228-014-1696-8
33.
ArakawaRTatenoAKimWSakayoriTOgawaKOkuboY. Time-course of serotonin transporter occupancy by single dose of three ssris in human brain: A positron emission tomography study with [(11)C]dasb.Psychiatry Res Neuroimaging. (2016) 251:1–6. 10.1016/j.pscychresns.2016.03.006
34.
HjorthORFrickAGingnellMHoppeJMFariaVHultbergSet alExpectancy effects on serotonin and dopamine transporters during ssri treatment of social anxiety disorder: A randomized clinical trial.Transl Psychiatry. (2021) 11:559. 10.1038/s41398-021-01682-3
35.
KimEHowesODKimBHChonMWSeoSTurkheimerFEet alRegional differences in serotonin transporter occupancy by escitalopram: An [(11)C]dasb Pk-Pd study.Clin Pharmacokinet. (2017) 56:371–81. 10.1007/s40262-016-0444-x
36.
KleinNSacherJGeiss-GranadiaTAttarbaschiTMossahebNLanzenbergerRet alIn vivo imaging of serotonin transporter occupancy by means of spect and [123i]adam in healthy subjects administered different doses of escitalopram or citalopram.Psychopharmacology. (2006) 188:263–72. 10.1007/s00213-006-0486-0
37.
KleinNSacherJGeiss-GranadiaTMossahebNAttarbaschiTLanzenbergerRet alHigher serotonin transporter occupancy after multiple dose administration of escitalopram compared to citalopram: An [123i]adam spect study.Psychopharmacology. (2007) 191:333–9. 10.1007/s00213-006-0666-y
38.
LanzenbergerRKranzGSHaeuslerDAkimovaESavliMHahnAet alPrediction of ssri treatment response in major depression based on serotonin transporter interplay between median raphe nucleus and projection areas.Neuroimage. (2012) 63:874–81. 10.1016/j.neuroimage.2012.07.023
39.
LundbergJChristophersenJSPetersenKBLoftHHalldinCFardeL. Pet measurement of serotonin transporter occupancy: A comparison of escitalopram and citalopram.Int J Neuropsychopharmacol. (2007) 10:777–85. 10.1017/s1461145706007486
40.
RomingerACummingPBrendelMXiongGZachCKarchSet alAltered serotonin and dopamine transporter availabilities in brain of depressed patients upon treatment with escitalopram: A [123 I]B -Cit spect study.Eur Neuropsychopharmacol. (2015) 25:873–81. 10.1016/j.euroneuro.2014.12.010
41.
ZoonsETijssenMAJDreissenYEMSmitMBooijJ. The effect of escitalopram on central serotonergic and dopaminergic systems in patients with cervical dystonia, and its relationship with clinical treatment effects: A double-blind placebo-controlled trial.Biomolecules. (2020) 10:880. 10.3390/biom10060880
42.
ZernigGHiemkeC. Pharmacokinetic and pharmacodynamic principles. In: RiedererPLauxGNagatsuTLeWRiedererCeditors. Neuropsychopharmacotherapy.Cham: Springer International Publishing (2020). p. 1–19.
43.
van GorpFWhyteIMIsbisterGK. Clinical and Ecg effects of escitalopram overdose.Ann Emerg Med. (2009) 54:404–8. 10.1016/j.annemergmed.2009.04.016
44.
Carceller-SindreuMde Diego-AdeliñoJPortellaMJGarcia-MollXFiguerasMFernandez-VidalAet alLack of relationship between plasma levels of escitalopram and Qtc-interval length.Eur Arch Psychiatry Clin Neurosci. (2017) 267:815–22. 10.1007/s00406-016-0758-6
45.
ThaseMELarsenKGReinesEKennedySH. The cardiovascular safety profile of escitalopram.Eur Neuropsychopharmacol. (2013) 23:1391–400. 10.1016/j.euroneuro.2013.05.011
46.
Yasui-FurukoriNTsuchimineSKuboKIshiokaMNakamuraKInoueY. The effects of fluvoxamine on the steady-state plasma concentrations of escitalopram and desmethylescitalopram in depressed japanese patients.Ther Drug Monit. (2016) 38:483–6. 10.1097/ftd.0000000000000303
47.
BaldingerPKranzGSHaeuslerDSavliMSpiesMPhilippeCet alRegional differences in SERT occupancy after acute and prolonged SSRI intake investigated by brain PET. Neuroimage. (2014) 88:252–262. 10.1016/j.neuroimage.2013.10.002
Summary
Keywords
escitalopram, reference range, blood level, therapeutic drug monitoring, antidepressant response, clinical effects, adverse drug reaction, SERT occupancy
Citation
Eichentopf L, Hiemke C, Conca A, Engelmann J, Gerlach M, Havemann-Reinecke U, Hefner G, Florio V, Kuzin M, Lieb K, Reis M, Riemer TG, Serretti A, Schoretsanitis G, Zernig G, Gründer G and Hart XM (2022) Systematic review and meta-analysis on the therapeutic reference range for escitalopram: Blood concentrations, clinical effects and serotonin transporter occupancy. Front. Psychiatry 13:972141. doi: 10.3389/fpsyt.2022.972141
Received
17 June 2022
Accepted
28 September 2022
Published
17 October 2022
Volume
13 - 2022
Edited by
Rosana Camarini, University of São Paulo, Brazil
Reviewed by
Ralf Regenthal, Leipzig University, Germany; Janko Samardzic, University of Belgrade, Serbia
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Copyright
© 2022 Eichentopf, Hiemke, Conca, Engelmann, Gerlach, Havemann-Reinecke, Hefner, Florio, Kuzin, Lieb, Reis, Riemer, Serretti, Schoretsanitis, Zernig, Gründer and Hart.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Luzie Eichentopf, Luzie.eichentopf@zi-mannheim.de
This article was submitted to Psychopharmacology, a section of the journal Frontiers in Psychiatry
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