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Erschienen in: Drugs in R&D 1/2024

Open Access 28.02.2024 | Case Report

Case Report: Life-Threatening Fluoxetine-Linked Postoperative Bleeding Informed by Pharmacogenetic Evaluation

verfasst von: Sara Rogers, Patrick J. Silva, George Udeani, Monica Deleon, Sriarchala Mutyala, Ladan Panahi, Asim Abu-Baker, Gabriel Neal, Kenneth S. Ramos

Erschienen in: Drugs in R&D | Ausgabe 1/2024

Abstract

Background

Selective serotonin reuptake inhibitors (SSRI) are commonly used for the treatment of depression and anxiety. Inhibition of serotonin reuptake in platelets increases bleeding risk in patients taking SSRIs.

Case

Here, we present the case of a 52-year-old patient who developed severe postsurgical bleeding requiring blood transfusion following panniculectomy.

Conclusion

SSRI-induced bleeding is dose-related and strongly influenced by individual variations in drug metabolizing enzymes and transporters.

Video abstract

Supplementary file1 (MP4 8441 KB)
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s40268-023-00451-5.
Key Points
SSRIs pose an increased risk of bleeding that is associated with inhibition of serotonin uptake in platelets.
The risk of SSRI-induced bleeding is dose dependent, with higher drug blood levels posing enhanced risk.
Genetic polymorphisms can lead to individual variations in the metabolism of fluoxetine, affecting drug concentrations and increasing the risk of side effects.

1 Introduction

Selective serotonin reuptake inhibitors (SSRI) are first-line therapies for the treatment of depression and anxiety [1]. These drugs selectively inhibit serotonin reuptake by binding to the serotonin transporter (SERT) to block serotonin transport, with only minimal inhibition of norepinephrine and dopamine reuptake. Additionally, SSRIs block the uptake of serotonin into platelets, leading to impairment of the platelet hemostatic response [2]. In this report, we present a patient who developed severe postoperative bleeding associated with polymorphic variations in pharmacogenes involved in fluoxetine metabolism.

2 Case

A 52-year-old white male patient with no history of liver or kidney disease presented to the emergency department (ED) complaining of postsurgical bleeding, one day post panniculectomy. His previous medical history included posttraumatic stress disorder (PTSD), mental depression, and anxiety managed with 30 mg fluoxetine daily, and gastric sleeve surgery 2-years prior. Upon presentation to the ED, the patient reported becoming extremely hypotensive with a blood pressure of 60/40 mmHg and sudden loss of vision. Computerized tomography (CT) scanning at the ED revealed a hematoma in the subcutaneous space of the postsurgical field. The panniculectomy space had a clot with mild oozing relative to the upper region of the cavity where no direct bleeding source was noted. The patient required a 4-day hospitalization for hematoma evacuation and correction of significant bleeding with three units of packed red blood cells for a drop in hemoglobin from 16.7 g/dL at baseline to 8.4 g/dL. Other laboratory values are listed in Table 1.
Table 1
Laboratory values during inpatient visit
Day
Hemoglobin (g/dl)
Hematocrit (%)
Platelets
1
9.4
29.1
177
1
10.3
30.6
161
2
8.6
25.7
158
3
8.5
25.4
165
4
8.4
23.6
178
Baseline
16.7
46.6
227
Prior to fluoxetine, the patient had been taking escitalopram 10 mg daily and bupropion 300 mg daily. Approximately 2 months prior to the panniculectomy, the escitalopram and bupropion were discontinued, and the patient switched to fluoxetine 20 mg to optimize management of PTSD, anxiety, and depression. A total of 30 days after the initial dose, the fluoxetine was increased to 30 mg daily. During this time, aripiprazole 2.5mg was also initiated. He was not taking any anticoagulants, non-steroidal anti-inflammatory drugs (NSAIDs), or other blood-thinning medications prior to the panniculectomy. A list of the patient’s home medications at the time of surgery is presented in Table 2.
Table 2
Home medications
Medication
Indication
Acetaminophen-codeine 300/60 mg PO Q6H PRN for 15 days
Postsurgical pain
Aripiprazole 2.5 mg PO QAM
PTSD
Cyclobenzaprine 10 mg PO TID PRN
Muscle spasms
Fluoxetine 30 mg PO daily
Depression
Gabapentin 800 mg PO BID PRN
Radiculopathy
Hydroxyzine 25mg po Q6h
Anxiety
Simvastatin 20 mg PO QHS
Hyperlipidemia
Calcium + D3 PO once daily
Supplement
Multivitamin PO once daily
Supplement
Super B Complex PO daily
Supplement
The patient was referred to the pharmacogenomics service for polypharmacy assessment prior to surgery, and the results were returned following the inpatient stay detailed in this report. Pharmacogenetic testing revealed a CYP2D6 *4/*10 intermediate metabolizer status, increasing the risk for fluoxetine-induced adverse effects due to increased plasma concentrations (Table 3).
Table 3
Genetic polymorphisms for genes associated with fluoxetine exposure or response
Genes
Gene descriptions
Genotype
Significance
ABCB1
ABC transporters act as efflux proteins to facilitate the movement of drugs, including fluoxetine, across the blood brain barrier [PMID: 24663076]
c.2677T>A negative, AC c.2677T>G heterozygous, AC c.3435T>C heterozygous, AG
This is a tri-allelic variant in ABCB1, also called 2677T>G/A, or Ser893Ala/Thr. This variant is in high linkage disequilibrium with variants at cDNA positions 1236 (rs1128503) and 3435 (rs1045642) [PMID: 16708052]
CYP2C19
The cytochrome P450, family 2, subfamily C, polypeptide 19 (CYP2C19) enzyme contributes to the metabolism of a large number of clinically relevant drugs and drug classes such as antidepressants [PMID:15199661]
1/*17
The predicted rapid metabolizer phenotype may impact formation of norfluoxetine from fluoxetine [PMID: 28494448]
CYP2D6
This gene provides instructions for the cytochrome P450 2D6 (CYP2D6) enzyme. Variations in this enzyme may alter response to SSRIs [PMID: 14639062]
*4/*10
Patients with this genotype metabolize the S-enantiomer intermediate metabolite of fluoxetine slower [PMID: 23545896]
HTR1A
Provides instructions for the serotonin 1A protein receptor that receives serotonin and helps pass the message between the nerve cells, which results in mood and behavior regulation in the brain. The HTR1A receptor is a target of psychoactive substances and many drugs
c.-1019G>C heterozygous, CG
HTR1A -1019C/C carriers (P = 0.009) showed a better response to fluoxetine, while other polymorphisms were not associated with fluoxetine therapeutic response. [PMID: 16302021]
HTR2A
Provides instructions for the serotonin 2A protein receptor that receives serotonin and helps pass the message between the nerve cells, which results in mood and behavior regulation in the brain. The HTR2A receptor is a target of psychoactive substances and many drugs [PMID: 11590474]
c.614-2211T>C homozygous, GG
Allele G is not associated with increased response to fluoxetine in people with depressive disorder, major as compared with allele A [PMID: 16302021]

3 Discussion

A study by Li and colleagues on the effect of fluoxetine on bleeding time in mice found that inhibition of SERT function by fluoxetine at doses of 20–30 mg/day decreases intraplatelet serotonin in a dose-dependent manner. Reduced serotonin levels induce the platelet adhesion receptor, GPIbα, and promote platelet aggregation and GPIbα shedding in the presence of thrombin [3]. SERT inhibition also inhibits clot formation by blocking platelet integrin αIIbβ3 and its affinity for fibrinogen. These actions lead to prolonged bleeding times in mice that can be corrected within 2 weeks upon withdrawal of fluoxetine [3].
A meta-analysis published in 2014 by Singh et al., details the risk of bleeding associated with SSRIs. Although a need for surgical intervention due to bleeding from serotoninergic antidepressants was not statistically significant, an elevated risk for transfusions with an odds ratio of 1.19 (1.09–1.3) was reported [4]. Auerbach et al. found that patients treated with SSRIs, including citalopram, escitalopram, fluoxetine, paroxetine, sertraline, and fluvoxamine, have increased risk of bleeding (1.09 (1.04–1.15)) compared with patients without any antidepressant treatment who underwent major surgery and received perioperative SSRI treatment [5].
Fluoxetine is well absorbed when taken orally, with peak plasma concentrations reached within 6–8 h after ingestion. Absorption is not affected significantly by food intake, so it can be taken with or without food. Once absorbed, fluoxetine is extensively distributed throughout the body due to its high lipophilicity [6]. Fluoxetine undergoes extensive metabolism in the liver, primarily through the cytochrome P450 (CYP) enzyme system. Fluoxetine is metabolized to its active metabolite norfluoxetine by CYP2D6, CYP2C9, and CYP2C19, with CYP2D6 playing the greatest role in metabolism of the parent compound. Both fluoxetine and norfluoxetine are potent inhibitors of CYP2D6, an important enzyme involved in the metabolism of other drugs. This inhibition can lead to drug–drug interactions and affect the metabolism of co-administered medications. As fluoxetine is extensively metabolized by cytochrome P450 (CYP450) enzymes, the metabolizer status of the patient can influence the bleeding risk [7]. Individual variations in the metabolism of fluoxetine can occur due to genetic factors and interactions with other drugs. Certain individuals may be slow metabolizers of fluoxetine, leading to higher drug concentrations and increased risk of side effects. Conversely, fast metabolizers may have lower drug concentrations, potentially reducing the effectiveness of the medication.
The genetic polymorphisms identified in the patient’s pharmacogenetic panel are outlined in Table 3. The patient was identified as a CYP2D6 *4/*10 intermediate metabolizer, increasing the risk of complications due to increased plasma concentrations of fluoxetine. CYP2D6*4 is a non-functional haplotype that accounts for the majority of the poor metabolizers (PM) among white populations [8]. CYP2D6*10 is a reduced function haplotype of CYP2D6 that is extremely common in populations of Asian ancestry [9]. A 2020 systematic review and meta-analysis conducted by Milosavljević et al. concluded that the association of CYP2C19/CYP2D6 variants to plasma drug concentration of SSRIs can be clinically significant and should be taken into consideration [10]. Furthermore, Zastrozhin et. al. concluded that polymorphisms of gene CYP2D6 can affect the safety profile of fluoxetine [11]. In our case, the patient was also identified as CYP2C19 1/*17 genotype and a predicted rapid metabolizer phenotype that may negatively impact the formation of norfluoxetine from fluoxetine.
Another case–control study conducted by Kim and colleagues examined reports of antidepressant drug use between December 1988 and December 2017 in the Korea Adverse Events Reporting System (KAERS) database. A total of 16,517 adverse events related to antidepressants were reported. The reporting odds ratios for fluoxetine were 2.34 [95% confidence interval (CI), 1.03–5.34] for total bleeding, 4.41 (95% CI, 1.60–12.15) for major bleeding, 2.06 (95% CI, 0.28–15.03) for gastrointestinal bleeding, and 6.12 (95% CI, 2.14–22.60) for brain hemorrhage compared with all other antidepressants [12].
Auerbach et. al. concluded that patients receiving SSRIs showed higher odds of bleeding and risk of readmission at 30 days (1.22 [1.18–1.26]) [5]. The case establishes the potential link between fluoxetine and increased risk of severe, life-threatening bleeding during the perioperative period. Up to this point, SSRI-induced perioperative bleeding necessitating hospitalization and blood transfusion has not been described in the literature. It is hypothesized that this risk may be driven by interindividual differences in pharmacogenetics profiles.

4 Conclusions

We conclude that a relationship between fluoxetine and postoperative bleeding in our patient is probable, with a pharmacogenetic profile consistent with elevated drug levels due to deficient metabolism. Prescribers and users of fluoxetine should be alerted to the possibility of such adverse reactions, and genetic information, if and when available, should be considered. This specific case has been reported to the US Food and Drug Administration Adverse Event Reporting Program.
Clinicians must consider the potential benefits against potential risks of discontinuing or decreasing an SSRI before an elective operative procedure. Discontinuing or decreasing SSRI medications may result in withdrawal symptoms and/or worsening of symptoms, while continuing an SSRI during surgery exposes patients to significant bleeding risks. Antidepressant prescribers should be aware of and take responsibility for discussing this potential problem with their patients so that they in turn can discuss this with other providers involved in their care and participate in exploring alternative options. The surgeon should also be aware of the bleeding risks tied to SSRIs and consider them when planning surgical intervention. Often, it may be the prescribing physician or pharmacist who alerts the surgeon to the potential bleeding risk associated with SSRIs [13].
It is essential to approach risk assessment comprehensively as detailed in Table 4, considering multiple factors and not relying on a single test or a piece of medical history. If there are concerns, collaboration between psychiatrists, primary care physicians, surgeons, pharmacists, and other specialists can help provide the best patient care.
Table 4
Key considerations when assessing postoperative bleeding risk in the setting of SSRI use
Biochemical tests
Platelet function tests
Platelet aggregation studies can help inform how well platelets are functioning. However, they are not routinely used to evaluate bleeding risk in SSRI users
Coagulation tests
PT, aPTT, and INR can provide a general sense of a patient’s bleeding and clotting tendencies but are not specific to SSRI-induced bleeding
Genetic tests
CYP450 genotyping
The cytochrome P450 enzyme system is responsible for metabolizing many drugs, including SSRIs. Variants in genes encoding these enzymes can affect drug metabolism
Platelet receptor genes
Variations in genes coding for platelet receptors or proteins involved in platelet function could theoretically affect bleeding risk [14]
Patient history
Previous bleeding events
Previous experience of unusual or prolonged bleeding events may be at higher risk
Concurrent medications
Many medications can increase bleeding risk, especially when combined with SSRIs
Medical conditions
Conditions such as liver disease, kidney disease, or coagulopathies can inherently increase bleeding risk
Surgical history
Prior surgeries, especially those with increased bleeding or complications, can give context on patient response to another surgical intervention while on an SSRI
Age
Elderly patients might be at increased risk due to multiple factors including polypharmacy, age-related changes in drug metabolism, and increased risk of falls leading to trauma
Other considerations
Duration of SSRI use
Chronic use might have a different risk profile than short-term or intermittent use
Dose
Higher doses of SSRIs increase the risk, although the relationship is not linear
PT, prothrombin time; aPTT, activated partial thromboplastin clotting time; INR, international normalized ratio

Acknowledgement

We would like to extend our gratitude to Dr. Bader Alghamdi for his exceptional contribution in creating the video abstract for this manuscript.

Declarations

Funding

No sources of funding were received for the preparation of this article.

Conflict of interest

Not applicable.

Ethics approval

Not applicable.
Informed consent was obtained.
Patient consent for case publication was obtained.

Availability of data and material

The data are not publicly available due to privacy and ethical restrictions.

Code availability

Not applicable.

Authors’ contributions

S.M. and M.D. were responsible for extracting data from the electronic health record and summarizing relevant literature. S.R., L.P., P.J.S., G.U., A.A.B., G.N., and K.S.R. were responsible for developing the case content.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by-nc/​4.​0/​.
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Metadaten
Titel
Case Report: Life-Threatening Fluoxetine-Linked Postoperative Bleeding Informed by Pharmacogenetic Evaluation
verfasst von
Sara Rogers
Patrick J. Silva
George Udeani
Monica Deleon
Sriarchala Mutyala
Ladan Panahi
Asim Abu-Baker
Gabriel Neal
Kenneth S. Ramos
Publikationsdatum
28.02.2024
Verlag
Springer International Publishing
Erschienen in
Drugs in R&D / Ausgabe 1/2024
Print ISSN: 1174-5886
Elektronische ISSN: 1179-6901
DOI
https://doi.org/10.1007/s40268-023-00451-5

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