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Mas S, Gassó P, Rodríguez N, Cabrera B, Mezquida G, Lobo A, González-Pinto A, Parellada M, Corripio I, Vieta E, Castro-Fornieles J, Bobes J, Usall J, Saiz-Ruiz J, Contreras F, Parellada E, Bernardo M, Bioque M, Diaz‐Caneja CM, González‐Peñas J, Solis AA, Rebella M, González‐Ortega I, Besga A, SanJuan J, Nacher J, Morro L, Montserrat C, Jimenez E, Costa SGD, Baeza I, de la Serna E, Rivas S, Diaz C, Saiz PA, Garcia‐Álvarez L, Fraile MG, Rabadán AZ, Torio I, Rodríguez‐Jimenez R, Butjosa A, Pardo M, Sarró S, Pomarol‐Clotet E, Cuadrado AI, Cuesta MJ. Personalized medicine begins with the phenotype: identifying antipsychotic response phenotypes in a first-episode psychosis cohort. Acta Psychiatr Scand 2020; 141:541-552. [PMID: 31746462 DOI: 10.1111/acps.13131] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 09/16/2019] [Accepted: 11/17/2019] [Indexed: 12/29/2022]
Abstract
AIMS Here, we present a clustering strategy to identify phenotypes of antipsychotic (AP) response by using longitudinal data from patients presenting first-episode psychosis (FEP). METHOD One hundred and ninety FEP with complete data were selected from the PEPs project. The efficacy was assessed using total PANSS, and adverse effects using total UKU, during one-year follow-up. We used the Klm3D method to cluster longitudinal data. RESULTS We identified four clusters: cluster A, drug not toxic and beneficial; cluster B, drug beneficial but toxic; cluster C, drug neither toxic nor beneficial; and cluster D, drug toxic and not beneficial. These groups significantly differ in baseline demographics, clinical, and neuropsychological characteristics (PAS, total PANSS, DUP, insight, pIQ, age of onset, cocaine use and family history of mental illness). CONCLUSIONS The results presented here allow the identification of phenotypes of AP response that differ in well-known simple and classic clinical variables opening the door to clinical prediction and application of personalized medicine.
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Affiliation(s)
- S Mas
- Pharmacology Unit, Department of Clinical Foundations, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - P Gassó
- Pharmacology Unit, Department of Clinical Foundations, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain
| | - N Rodríguez
- Fundació Clinic per la Recerca Biomédica (FCRB), Barcelona, Spain
| | - B Cabrera
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute Hospital Clínic de Barcelona, Barcelona, Spain
| | - G Mezquida
- Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Barcelona, Spain.,Fundació Clínic per la Recerca Biomèdica (FCRB), Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - A Lobo
- Department of Medicine and Psychiatry, University of Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - A González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Department of Psychiatry, Hospital Universitario de Alava, Vitoria, Spain.,BIOARABA Health Research Institute, Vitoria, Spain.,University of the Basque Country, Vitoria, Spain
| | - M Parellada
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Madrid, Spain
| | - I Corripio
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Servicio de Psiquiatría, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Instituto de Investigación Biomédica Sant Pau (IIB-SANT PAU), Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - E Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Hospital Clínic de Barcelona, Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - J Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Child and Adolescent Psychiatry and Psychology Department, 2017SGR881, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, Barcelona, Spain
| | - J Bobes
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Área de Psiquiatría, Hospital Universitario Central de Asturias (HUCA), Universidad de Oviedo, Asturias, Spain.,Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Asturias, Spain
| | - J Usall
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.,Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - J Saiz-Ruiz
- Hospital Ramon y Cajal, Universidad de Alcala, IRYCIS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F Contreras
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Psychiatric Service, Bellvitge University Hospital, Hospitalet del Llobregat, Spain.,University of Barcelona, Barcelona, Spain
| | - E Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain
| | - M Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPs), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona, Barcelona, Spain
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Díaz LS, Fraile MG, López ACA, Fernández MLS, Cano NR, Díaz-Corte C. More Than 25 Years Together: Basis for a Long-Lifespan Kidney Transplant. Transplant Proc 2019; 51:334-336. [PMID: 30879535 DOI: 10.1016/j.transproceed.2018.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/23/2018] [Indexed: 10/28/2022]
Abstract
Patients with graft survival for 20 years or more are not uncommon; they are called ultralong kidney recipients. It is interesting to know if there are patterns in donors and recipients that could be reproduced. A retrospective cohort with 22 adult patients with a kidney renal transplant performed more than 25 years ago is analyzed. The mean of age of the donors was 24 years (median, 21 years); 82% were men and the cause of death was mainly acute traumatic brain injury. Recipients had a mean age of 34 years (median, 36 years) at the time of transplant; the most common underlying renal disease was glomerular, without evidence of recurrence. A total of 16 patients had compatibility in HLA II (1 in 11 cases; 2 in 5 cases). Only 6 patients have had any episode of acute rejection; 3 of them have developed antibodies class I, but no donor-specific antibodies. In this retrospective cohort, increases in donor age are associated with poor renal function. The mean creatinine is 1.43 mg/dL (range, 0.97-2.14 mg/dL) and mean proteinuria is 653.43 mg/g (range, 55-3722 mg/g). The characteristics common in ultralong kidney recipients are young male donors, a shortage of episodes of rejection, and good HLA compatibility, especially in class II antigens.
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Affiliation(s)
- L S Díaz
- Nephrology Department, HUCA, Oviedo, Spain.
| | - M G Fraile
- Nephrology Department, HUCA, Oviedo, Spain; Red Investigación Renal (REDINREN), Madrid, Spain
| | | | - M L S Fernández
- Nephrology Department, HUCA, Oviedo, Spain; Red Investigación Renal (REDINREN), Madrid, Spain
| | - N R Cano
- Nephrology Department, HUCA, Oviedo, Spain
| | - C Díaz-Corte
- Nephrology Department, HUCA, Oviedo, Spain; Red Investigación Renal (REDINREN), Madrid, Spain
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