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Khosravi M. Age- and dose-independent adverse effect of venlafaxine-extended release on blood pressure: a case series of 13 normotensive psychiatric outpatients. ITALIAN JOURNAL OF MEDICINE 2024; 18. [DOI: 10.4081/itjm.2024.1758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2024] Open
Abstract
Dear Editor, the first antidepressant medication of the serotonin-norepinephrine reuptake inhibitor class is venlafaxine (effexor), which is taken orally with a half-life of 5 hours; however, its effective and chief metabolite (i.e., O-desmethylvenlafaxine) owns a half-life of 11 hours. [...]
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Friedlander M, Lee YC, Tew WP. Managing Adverse Effects Associated With Poly (ADP-ribose) Polymerase Inhibitors in Ovarian Cancer: A Synthesis of Clinical Trial and Real-World Data. Am Soc Clin Oncol Educ Book 2023; 43:e390876. [PMID: 37285556 DOI: 10.1200/edbk_390876] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The use of poly (ADP-ribose) polymerase (PARP) inhibitor therapy is standard care in the management of patients with various malignancies including ovarian, breast, prostate, and pancreatic cancers. PARP inhibitors have been approved in different settings for patients with specific hereditary pathogenic variants, most notably homologous recombination repair pathways such as BRCA1 and BRCA2 genes. The vast experience with PARP inhibitors (olaparib, niraparib, rucaparib) has been in the management of epithelial ovarian cancer. There have not been any head-to-head comparisons of PARP inhibitors in randomized trials, and we can only perform cross-comparison on the basis of the reported literature. The three approved PARP inhibitors share several common adverse effects because of a class effect including nausea, fatigue, and anemia, but there are notable differences likely because of variations in their poly-pharmacology and off-target effects. Finally, patients included in clinical trials are often younger with a good performance status and less comorbidities than the real-world population, and hence, the potential benefits and adverse effects may not be superimposable. In this review, we describe these differences and discuss strategies to mitigate and manage adverse side effects effectively.
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Affiliation(s)
- Michael Friedlander
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Department of Medical Oncology, Prince of Wales and Royal Hospital for Women, Randwick, New South Wales, Australia
| | - Yeh Chen Lee
- School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
- Department of Medical Oncology, Prince of Wales and Royal Hospital for Women, Randwick, New South Wales, Australia
- NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - William P Tew
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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Fusaroli M, Giunchi V, Battini V, Gringeri M, Rimondini R, Menchetti M, Radice S, Pozzi M, Nobile M, Clementi E, De Ponti F, Carnovale C, Raschi E, Poluzzi E. Exploring the underlying mechanisms of drug-induced impulse control disorders: a pharmacovigilance-pharmacodynamic study. Psychiatry Clin Neurosci 2023; 77:160-167. [PMID: 36436204 DOI: 10.1111/pcn.13511] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/07/2022] [Accepted: 11/18/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Impulse control disorders (e.g. pathological gambling, hypersexuality) may develop as adverse reactions to drugs. Pathogenetic hypotheses have mainly focused on D3-receptor agonism, and switching to alternatives with different pharmacologic mechanisms represents a common management strategy. Nonetheless, treatment failure is common and gaining pathophysiological insights is needed. AIM We aimed to identify targets potentially contributing to pathologic impulsivity. METHOD We performed a pharmacovigilance-pharmacodynamic study on dopamine agonists and antipsychotics using the Food and Drug Administration Adverse Event Reporting System (January 2004-December 2021). We estimated disproportionate reporting using the Bayesian information component. Using online public databases (IUPHAR, ChEMBL, PDSP, DrugBank), we calculated drug occupancies. To identify the targets potentially contributing to impulsivity, we fitted univariate regression models interpolating information components and occupancies within dopamine agonists and antipsychotics. Sensitivity analyses were performed to check for the robustness of the results. RESULTS Among 19 887 reports of impulsivity, 5898 recorded an antipsychotic, and 3100 a dopamine agonist. The more robust signals concerned aripiprazole (N = 3091; median information component [95% confidence interval] = 4.51[4.45-4.55]) and brexpiprazole (229; 4.00[3.78-4.16]) for antipsychotics, pergolide (105; 5.82[5.50-6.06]) and pramipexole (2009; 5.43[5.36-5.48]) for dopamine agonists. Robust, significant positive associations between drug occupancy and impulsivity reporting were found for D3 within dopamine agonists (beta = 1.52; P-value = 0.047) and 5-HT1a within antipsychotics (1.92, 0.029). CONCLUSION Our results supported the role of D3-receptor agonism in inducing impulsivity in dopamine receptor agonists and identified a potential role of 5-HT1a receptor agonism in antipsychotics. Investigating these receptors may drive towards a better management of drug-induced impulsivity.
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Affiliation(s)
- Michele Fusaroli
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
| | - Valentina Giunchi
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
| | - Vera Battini
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Michele Gringeri
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Roberto Rimondini
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
| | - Marco Menchetti
- Unit of Psychiatry, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna
| | - Sonia Radice
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Marco Pozzi
- Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Maria Nobile
- Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Emilio Clementi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.,Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Fabrizio De Ponti
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
| | - Carla Carnovale
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy
| | - Emanuel Raschi
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
| | - Elisabetta Poluzzi
- Pharmacology Unit, Department of Medical and Surgical Sciences (DIMEC), Università di Bologna, Bologna, Italy
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Schaffer AL, Chia J, Brett J, Pearson S, Falster MO. A nationwide study of multimedicine use in people treated with cardiovascular medicines in Australia. Pharmacotherapy 2022; 42:828-836. [PMID: 36239072 PMCID: PMC9828398 DOI: 10.1002/phar.2735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 11/16/2022]
Abstract
STUDY OBJECTIVE Multimorbidity and multimedicine use are common in people with cardiovascular disease and can lead to harms, such as prescribing errors and drug interactions. We quantified multimedicine use in people treated with cardiovascular medicines in a national sample of Australians. DESIGN Cross-sectional study. DATA SOURCE Pharmaceutical dispensing claims for a 10% random sample of Australians. PATIENTS Australian adults dispensed any cardiovascular medicine between June and August 2019. INTERVENTION None. MEASUREMENTS We quantified the number and type of cardiovascular and non-cardiovascular medicines dispensed during the study period, and the number of unique prescribers, by age and sex. MAIN RESULTS We identified 493,081 people dispensed any cardiovascular medicine (median age = 67 years, 50.2% women). The population prevalence of cardiovascular medicine dispensing increased from 1.7% (n = 10,503) in people 18-34 years to 80.1% (n = 99,271) in people 75-84 years. Cardiovascular medicine dispensing varied by sex; women 18-34 years were more likely to be dispensed any cardiovascular medicine than men (male:female prevalence ratio [PR] = 0.84, 95% confidence interval [CI] = 0.81-0.87), whereas the prevalence of cardiovascular medicine dispensing was higher in men 35-44 years (PR = 1.27, 95% CI 1.24-1.30) and 45-54 years (PR = 1.24, 95% CI 1.22-1.26) and was similar between sexes in people ≥65 years. Overall, both women and men were dispensed a median of 2.0 (interquartile range [IQR] = 1.0-3.0) cardiovascular medicines. Two-thirds of people ≥65 years (73.5%; n = 208,524) were dispensed ≥2 cardiovascular medicines, with 16.6% (n = 6736) of people ≥85 years dispensed five or more. Women and men were dispensed a median of 2.0 (IQR = 1.0-5.0) and 2.0 (IQR = 0.0-4.0) non-cardiovascular medicines, respectively, to treat comorbid conditions, commonly gastroesophageal reflux disease medicines (32.2% of women and 26.6% of men), antibiotics (28.7% of women and 22.4% of men), and antidepressants (26.3% of women and 15.9% of men). One quarter of both sexes had multiple prescribers for their cardiovascular medicines alone, whereas 54.5% (n = 134,939) of women and 49.9% (n = 122,706) of men had multiple prescribers for all medicines. CONCLUSION Multimedicine use is common in people treated with cardiovascular medicines and presents a risk for inappropriate prescribing. Understanding the comorbid conditions commonly treated concurrently with cardiovascular disease can help improve co-prescribing guidelines and develop a person-centered approach to multimorbidity treatment.
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Affiliation(s)
- Andrea L. Schaffer
- Centre for Big Data Research in HealthUNSW SydneySydneyNew South WalesAustralia
| | - Joel Chia
- Centre for Big Data Research in HealthUNSW SydneySydneyNew South WalesAustralia
| | - Jonathan Brett
- Centre for Big Data Research in HealthUNSW SydneySydneyNew South WalesAustralia,St Vincent's Clinical SchoolUNSW SydneySydneyNew South WalesAustralia
| | - Sallie‐Anne Pearson
- Centre for Big Data Research in HealthUNSW SydneySydneyNew South WalesAustralia,Menzies Centre for Health PolicyThe University of SydneySydneyNew South WalesAustralia
| | - Michael O. Falster
- Centre for Big Data Research in HealthUNSW SydneySydneyNew South WalesAustralia
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Tian X, Chen L, Gai D, He S, Jiang X, Zhang N. Adverse Event Profiles of PARP Inhibitors: Analysis of Spontaneous Reports Submitted to FAERS. Front Pharmacol 2022; 13:851246. [PMID: 35401230 PMCID: PMC8990839 DOI: 10.3389/fphar.2022.851246] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 02/28/2022] [Indexed: 11/26/2022] Open
Abstract
Background: Several poly ADP ribose polymerase inhibitors (PARPis) are currently approved for the treatment of a variety of cancers. The safety profile of PARPis has not yet been systemically analyzed in the real world. We conducted this pharmacovigilance analysis using the US FDA's Adverse Event Reporting System (FAERS) database to explore the difference in adverse events (AEs) among PARPis. Methods: FAERS data (December 2014 to October 2021) were searched for reports of all FDA-approved PARPis across all indications. We used the standardized MedDRA query (SMQ) generalized search AEs on the preferred term (PT) level based on case reports. After filtering duplicate reports, disproportionality analysis was used to detect safety signals by calculating reporting odds ratios (ROR). Reports were considered statistically significant if the 95% confidence interval did not contain the null value. Results: Within the standardized MedDRA queries, significant safety signals were found, including those for olaparib [blood premalignant disorders (ROR = 17.06)], rucaparib [taste and smell disorders (ROR = 9.17)], niraparib [hematopoietic throbocytopenia (ROR = 28.2)], and talazoparib [hematopoietic erythropenia (ROR = 9.38)]. For AEs on the PT level, we found several significant signals, including platelet count decreased with niraparib (ROR = 52.78); red blood cell count decreased with niraparib (ROR = 70.47) and rucaparib (ROR = 15.09); myelodysplastic syndrome with olaparib (ROR = 35.47); acute myeloid leukaemia with olaparib (ROR = 25.14); blood pressure fluctuation with niraparib (ROR = 20.54); lymphangioleiomyomatosis with niraparib (ROR = 471.20); photosensitivity reaction with niraparib (ROR = 21.77) and rucaparib (ROR = 18.92); renal impairment with rucaparib (ROR = 33.32); and interstitial lung disease with Olaparib (ROR = 11.31). All the detected safety signals were confirmed using signals of disproportionality reporting methods. Conclusion: PARPis differed in their safety profile reports. The analysis of the FAERS database revealed significant safety signals that matched previously published case reports, including serious gastrointestinal, blood and lymphatic system, cardiovascular and respiratory complications, which require individualized drug administration according to patients' conditions.
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Affiliation(s)
- Xiaojiang Tian
- Department of Pharmacy, Chongqing Health Center for Women and Children, Chongqing, China
| | - Lin Chen
- Department of Pharmacy, Chongqing Health Center for Women and Children, Chongqing, China
| | - Di Gai
- Department of Pharmacy, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Sijie He
- Department of Pharmacy, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuan Jiang
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ni Zhang
- Department of Oncology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Niazi SK, Memon SH, Lesser ER, Brennan E, Aslam N. Assessment of psychiatric comorbidities and serotonergic or noradrenergic medication use on blood pressure using 24-hour ambulatory blood pressure monitoring. J Clin Hypertens (Greenwich) 2021; 23:1599-1607. [PMID: 34184385 PMCID: PMC8678783 DOI: 10.1111/jch.14311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/27/2021] [Accepted: 06/02/2021] [Indexed: 11/30/2022]
Abstract
In this study, the authors aimed to assess both nighttime and daytime blood pressure (BP) variability using 24-hour ambulatory BP monitoring (ABPM) in persons with and without psychiatric conditions and with or without selective serotonin reuptake inhibitors (SSRIs) or serotonin-norepinephrine reuptake inhibitors (SNRIs) treatment. In this retrospective study, patients who underwent psychiatric evaluation and ABPM within 6 months of each other between January 1, 2012 and December 31, 2017 were identified using billing data. Participants were divided into three groups-participants with no psychiatric diagnosis and no psychiatric medicine (-Diagnosis/-Medication), those with psychiatric diagnosis and on SSRIs/SNRIs (+Diagnosis/+Medication), and psychiatric diagnosis but no psychiatric medications (+Diagnosis/-Medication). Day and nighttime systolic and diastolic BPs were compared between groups controlling for relevant variables using multivariable linear regression models. A total of 475 participants met inclusion criteria including 135 in the -Diagnosis/-Medication group, 232 in the +Diagnosis/+Medication group, and 108 in the +Diagnosis/-Medication group. In adjusted multivariable analysis, the +Diagnosis/+Medication group had higher nighttime systolic BP (median 120 vs 110 mm (Hg); p = .01) and nighttime diastolic BP (median 68 vs 63 mm (Hg); p = .006) as compared to -Diagnosis/-Medication. No statistically significant differences in BPs between the -Diagnosis/-Medication and +Diagnosis/-Medication groups were observed, after adjustment. Use of SSRIs/SNRIs was associated with significantly higher nocturnal systolic and diastolic BP among patients with psychiatric diagnosis using SSRIs/SNRIs but not associated with psychiatric diagnosis without SSRI/SNRI use. SSRIs/SNRIs use may be associated with higher BP levels and this merits future prospective studies using ABPM to assess day and nighttime BP changes with SSRIs/SNRIs use.
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Affiliation(s)
- Shehzad K. Niazi
- Department of Psychiatry & PsychologyMayo Clinic FloridaJacksonvilleFloridaUSA
- Mayo ClinicRobert D. & Patricia E. Kern Center of Science of Health Care DeliveryJacksonvilleFloridaUSA
| | - Sobia H. Memon
- Department of MedicineDivision of Nephrology & HypertensionMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Elizabeth R. Lesser
- Department of BiostatisticsHealth Science ResearchMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Emily Brennan
- Mayo ClinicRobert D. & Patricia E. Kern Center of Science of Health Care DeliveryJacksonvilleFloridaUSA
| | - Nabeel Aslam
- Department of MedicineDivision of Nephrology & HypertensionMayo Clinic FloridaJacksonvilleFloridaUSA
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Sandhu D, Antolin AA, Cox AR, Jones AM. Identification of different side effects between PARP inhibitors and their polypharmacological multi-target rationale. Br J Clin Pharmacol 2021; 88:742-752. [PMID: 34327724 DOI: 10.1111/bcp.15015] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/05/2021] [Accepted: 07/22/2021] [Indexed: 12/19/2022] Open
Abstract
AIMS The aim of this study was to determine the differences and potential mechanistic rationale for observed adverse drug reactions (ADRs) between four approved PARP inhibitors (PARPi). METHODS The Medicines and Healthcare products Regulatory Authority (MHRA) Yellow Card drug analysis profiles and NHS secondary care medicines database enabled the identification of suspected ADRs associated with the PARPi in the UK from launch to 2020. The polypharmacology of the PARPi were data-mined from several public data sources. RESULTS The overall ADRs per 100 000 Rx identified across the four PARPi are statistically significant (χ2 test, P < .001). Rucaparib has the greatest relative suspected ADRs, which can be explained by its least clean kinome and physicochemical properties. The suspected gastrointestinal ADRs of rucaparib and niraparib can be ascribed to their kinase polypharmacology. Suspected blood and lymphatic system ADRs of PARPi can be linked to their high volume of distribution (Vd ). The thrombocytopenia rate of niraparib > rucaparib > olaparib tracked with the Vd trend. Hypertension is only associated with niraparib and could be explained by the therapeutically achievable inhibition of DYRK1A and/or transporters. Arrhythmia cases are potentially linked to the structural features of hERG ion-channel inhibition found in rucaparib and niraparib. Enhanced psychiatric/nervous disorders associated with niraparib can be interpreted from the diverse neurotransporter off-targets reported. CONCLUSIONS Despite their similar mode of action, the differential polypharmacology of PARP inhibitors influences their ADR profile.
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Affiliation(s)
- Daranjit Sandhu
- School of Pharmacy, Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Albert A Antolin
- Department of Data Science and Division of Cancer Therapeutics, The Institute of Cancer Research, London, UK
| | - Anthony R Cox
- School of Pharmacy, Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Alan M Jones
- School of Pharmacy, Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
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Gatti M, Raschi E, De Ponti F. Serotonin syndrome by drug interactions with linezolid: clues from pharmacovigilance-pharmacokinetic/pharmacodynamic analysis. Eur J Clin Pharmacol 2020; 77:233-239. [PMID: 32901348 PMCID: PMC7803711 DOI: 10.1007/s00228-020-02990-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/01/2020] [Indexed: 12/30/2022]
Abstract
Purpose To characterize the post-marketing reporting of serotonin syndrome (SS) due to drug-drug interactions (DDIs) with linezolid and investigate the relationship with pharmacokinetic/pharmacodynamic (PK/PD) properties of serotonergic agents. Methods We queried the worldwide FDA Adverse Event Reporting System to extract SS records due to DDIs where linezolid was reported as suspect. For each serotonergic agent concomitantly reported, proportion of SS reports and mean number of DDIs were calculated and three different “SS reporting zones” were created. Relevant PK (peak concentration, area under plasma concentration curve, volume of distribution (VD), and lipophilicity) and PD (values of binding affinity (Ki) and IC50 for serotonin reuptake transporter (SERT) and 5-HT2A) parameters were extracted for each serotonergic agent, and relevant PK/PD indexes were calculated to assess correlation with mean number of DDIs (PV index). Results Six hundred sixty-nine reports of SS mentioning linezolid were found, being linezolid-citalopram (N = 69; 10.3%) the most frequently DDI reported. Citalopram and methadone showed respectively the highest proportion of SS reports (0.28%) and the lowest mean number of DDIs (1.41). Citalopram, escitalopram, and methadone emerged as red (i.e., alert)-zone medications: they exhibited high lipophilicity and large VD (proxies of excellent central nervous system penetration) coupled with high potency. Among PK/PD indexes, a significant correlation with PV index was found for VD/Ki SERT ratio (p = 0.05). Discussion Our integrated approach suggests that linezolid is more likely to cause SS when co-administered with citalopram, escitalopram, and methadone, as inferred from their pharmacological properties. Proper management of SS should be tailored on a case-by-case basis. Electronic supplementary material The online version of this article (10.1007/s00228-020-02990-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Milo Gatti
- Pharmacology Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Via Irnerio, 48, 40126, Bologna, Italy.
| | - Emanuel Raschi
- Pharmacology Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Via Irnerio, 48, 40126, Bologna, Italy
| | - Fabrizio De Ponti
- Pharmacology Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Via Irnerio, 48, 40126, Bologna, Italy
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