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Rohde C, Brink P, Østergaard SD, Nielsen J. The use of stimulants in depression: Results from a self-controlled register study. Aust N Z J Psychiatry 2020; 54:808-817. [PMID: 32447969 DOI: 10.1177/0004867420924076] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To investigate the effectiveness of stimulants in patients with depression, by using naturalistic outcome measures, such as psychiatric admissions, psychiatric bed-days and incidents of intentional self-harm or suicide attempts. METHODS Via linkage of the Danish nationwide health registers, we identified all patients with a diagnosis of depression initiating stimulants, including methylphenidate, modafinil, amphetamine, dexamphetamine or lisdexamphetamine, from 1995 to 2012. We used a mirror-image model to test whether redemption of a stimulant prescription was associated with a reduction in psychiatric admissions, inpatient days and incidents of intentional self-harm or suicide attempts. Specifically, the number of these outcomes in the 2 years leading up to redemption of a stimulant prescription was compared to the two subsequent years. Similar outcomes were used in a reverse mirror-image model to investigate the effect of stimulant termination. RESULTS A total of 3354, 935 and 105 patients diagnosed with depression redeemed prescriptions for methylphenidate, modafinil or amphetamine/dexamphetamine/lisdexamphetamine, respectively. Initiation of methylphenidate was not associated with a significant change in psychiatric admissions (mean: -0.02 admissions, p = 0.11) or inpatient days (mean: 0.13 days, p = 0.74). Similar findings were made for modafinil and the amphetamines. In addition, no clinically relevant change in psychiatric admissions or inpatient days was found after termination of a stimulant. After initiation of methylphenidate, the incidents of self-harm or suicide attempts were reduced by 54%, from 68 to 31 events (p = 0.004). No significant change in incidents of self-harm or suicide attempts were found for modafinil or the amphetamines. CONCLUSION This nationwide study, using naturalistic outcomes, does not support the use of stimulants in patients with depression. However, the use of methylphenidate was associated with a 54% reduction in incidents of self-harm or suicide attempts, indicating that methylphenidate may potentially be useful in patients with depression with suicidal- or self-harming behaviour. However, further studies are needed, before any firm conclusions can be made.
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Affiliation(s)
- Christopher Rohde
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Psykiatrisk Center Glostrup (Mental Health Center), Copenhagen University Hospital, Copenhagen, Denmark
| | - Philip Brink
- Department of Oncology, Vejle Hospital and University of Southern Denmark, Vejle, Denmark
| | - Søren D Østergaard
- Department of Affective Disorders, Aarhus University Hospital-Psychiatry, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jimmi Nielsen
- Psykiatrisk Center Glostrup (Mental Health Center), Copenhagen University Hospital, Copenhagen, Denmark
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Grave C, Boucheron P, Rudant J, Mikaeloff Y, Tubert-Bitter P, Escolano S, Hocine MN, Coste J, Weill A. Seasonal influenza vaccine and Guillain-Barré syndrome: A self-controlled case series study. Neurology 2020; 94:e2168-e2179. [PMID: 32098853 DOI: 10.1212/wnl.0000000000009180] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 11/22/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the risk of Guillain-Barré syndrome (GBS) following seasonal influenza vaccination based on French nationwide data. METHODS All cases of GBS occurring in metropolitan France between September 1 and March 31 from 2010 to 2014 were identified from the French national health data system. Data were analyzed according to the self-controlled case series method. The risk period started 1 day after the patient received vaccine (D1) until 42 days after vaccination (D42). The incidence of GBS during this risk period was compared to that of the control period (D43-March 31). The incidence rate ratio (IRR) was estimated after adjusting for seasonality and presence or not of acute infections. RESULTS Between September and March, of the 2010/2011 to 2013/2014 influenza vaccination seasons, 3,523 cases of GBS occurred in metropolitan France and were included in the study. Among them, 15% (527 patients) had received influenza vaccination. A total of 140 patients developed GBS during the 42 days following influenza vaccination. The crude risk of developing GBS was not significantly increased during the 42 days following influenza vaccination (IRR, 1.02; 95% confidence interval [CI], 0.83-1.25; p = 0.85). This result remained nonsignificant after adjustment for calendar months and the incidence of acute gastrointestinal and respiratory tract infections (IRR, 1.10; 95% CI, 0.89-1.37; p = 0.38). In contrast, the risk of GBS was fourfold higher after acute respiratory tract infection (IRR, 3.89; 95% CI, 3.52-4.30; p < 0.0001) or gastrointestinal infection (IRR, 3.64; 95% CI, 3.01-4.40; p < 0.0001). CONCLUSIONS No association between seasonal influenza vaccination and GBS was shown during the 42 days following vaccination.
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Affiliation(s)
- Clémence Grave
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France.
| | - Pauline Boucheron
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Jérémie Rudant
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Yann Mikaeloff
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Pascale Tubert-Bitter
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Sylvie Escolano
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Mounia N Hocine
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Joël Coste
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
| | - Alain Weill
- From the Department of Studies in Public Health (C.G., P.B., J.R., J.C., A.W.), French National Health Insurance, Paris; Assistance Publique-Hôpitaux de Paris (Y.M.), Unité de Rééducation Neurologique Infantile, Hôpital Bicêtre; CESP, Faculté de Médecine-Université Paris-Sud (Y.M.), Faculté de Médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif; Biostatistics and Pharmacoepidemiology (P.T.-B., S.E.), Inserm U1181 (B2PHI), UVSQ, University Paris Saclay, Institut Pasteur; and Laboratoire Modélisation (M.N.H.), Epidémiologie et Surveillance des Risques Sanitaires, Conservatoire National des Arts et Métiers, Paris, France
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Sun Y, Pedersen LH, Wu CS, Petersen I, Sørensen HT, Olsen J. Antidepressant use during pregnancy and risk of congenital heart defects: A case-time-control study. Pharmacoepidemiol Drug Saf 2019; 28:1180-1193. [PMID: 31359557 DOI: 10.1002/pds.4844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 05/09/2019] [Accepted: 05/31/2019] [Indexed: 11/10/2022]
Abstract
PURPOSE We estimated the association between maternal antidepressant (AD) use in early pregnancy and risk of congenital heart defects. METHODS We applied a case-time-control design with the aim of controlling for confounding from time-invariant factors and compared the results of the design to results from a cohort design in a population of 792 685 singletons born alive in Denmark during 1995-2008. In the case-time-control design, we identified children diagnosed with a congenital heart defect in the first 5 years of life (cases) and compared maternal AD use in the risk period (the first 3 months of pregnancy) and the reference period (gestational months 5-7). A nondiseased control group was included to adjust for time trends of exposure. In the cohort design, we identified children whose mothers redeemed at least one AD prescription in the first 3 months of pregnancy (the exposed) and two other groups including the unexposed children with maternal AD prescriptions in the 12 months before pregnancy. We applied conditional logistic regression and logistic regression to compute odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS The case-time-control OR for any congenital heart defect was 1.03 (95% CI, 0.61-1.73), which was similar to the OR (1.09, 95% CI, 0.88-1.35) from the cohort design when we compared the exposed children with the unexposed children with maternal AD use before pregnancy. CONCLUSIONS The case-time-control design provided results similar to the cohort design when the cohort design had a better confounder control strategy. We discussed the strengths and drawbacks of case-time-control design.
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Affiliation(s)
- Yuelian Sun
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Neurology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,National Center of Register-based Research, Department of Economics and Business Economics, Business and Social Science, Aarhus University, Aarhus, Denmark
| | - Lars Henning Pedersen
- Department of Obstetrics and Gynecology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Chun Sen Wu
- Research Unit of Gynecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Obstetrics and Gynecology, Odense University Hospital, Odense, Denmark
| | - Irene Petersen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Primary Care and Population Health, University College London, London, UK
| | - Henrik Toft Sørensen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Jørn Olsen
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, California, USA
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Gault N, Castañeda-Sanabria J, De Rycke Y, Guillo S, Foulon S, Tubach F. Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review. BMC Med Res Methodol 2017; 17:25. [PMID: 28178924 PMCID: PMC5299667 DOI: 10.1186/s12874-016-0278-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 12/15/2016] [Indexed: 11/29/2022] Open
Abstract
Background Observational studies are widely used in pharmacoepidemiology. Several designs can be used, in particular self-controlled designs (case-crossover and self-controlled case series). These designs offer the advantage of controlling for time-invariant confounders, which may not be collected in electronic healthcare databases. They are particularly useful in pharmacoepidemiology involving healthcare database. To be valid, they require the presence of some characteristics (key validity assumptions), and in such situations, these designs should be preferred. We aimed at describing the appropriate use and reporting of the key validity assumptions in self-controlled design studies. Methods Articles published between January 2011 and December 2014, and describing a self-controlled study design involving electronic healthcare databases were retrieved. The appropriate use (fulfilment of key assumptions) was studied in terms of major (abrupt onset event, rare or recurrent event, and intermittent exposure) and minor assumptions (those for which the design can be adapted). Results Among the 107 articles describing a self-controlled design, 35/53 (66%) case-crossover studies, and 48/55 (87%) self-controlled case series fulfilled the major validity assumptions for use of the design; 4/35 and 14/48 respectively did not fulfill the minor assumptions. Overall, 31/53 (58%) case-crossover studies and 34/55 (62%) self-controlled case series fulfilled both major and minor assumptions. The reporting of the methodology or the results was appropriate, except for power calculation. Conclusions Self-controlled designs were not appropriately used in34% and 13% of the articles we reviewed that described a case-crossover or a self-controlled case series design, respectively. We encourage better use of these designs in situations in which major validity assumptions are fulfilled (i.e., for which they are recommended), accounting for situations for which the design can be adapted. Electronic supplementary material The online version of this article (doi:10.1186/s12874-016-0278-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nathalie Gault
- APHP, Département d'Epidémiologie Biostatistiques et Recherche Clinique, Hôpital Bichat, 75018, Paris, France. .,Université Paris Diderot, Sorbonne Paris Cité, UMR 1123 ECEVE, 75018, Paris, France. .,INSERM CIC-EC 1425, Hôpital Bichat, 75018, Paris, France.
| | - Johann Castañeda-Sanabria
- Université Paris Diderot, Sorbonne Paris Cité, UMR 1123 ECEVE, 75018, Paris, France.,APHP, Département Biostatistiques Santé Publique et Information Médicale, Centre de Pharmaco-épidémiologie de l'AP-HP, Hôpital Pitié-Salpétrière, 75013, Paris, France
| | - Yann De Rycke
- Université Paris Diderot, Sorbonne Paris Cité, UMR 1123 ECEVE, 75018, Paris, France.,APHP, Département Biostatistiques Santé Publique et Information Médicale, Centre de Pharmaco-épidémiologie de l'AP-HP, Hôpital Pitié-Salpétrière, 75013, Paris, France
| | - Sylvie Guillo
- Université Paris Diderot, Sorbonne Paris Cité, UMR 1123 ECEVE, 75018, Paris, France.,APHP, Département Biostatistiques Santé Publique et Information Médicale, Centre de Pharmaco-épidémiologie de l'AP-HP, Hôpital Pitié-Salpétrière, 75013, Paris, France
| | - Stéphanie Foulon
- Biostatistics unit, Gustave Roussy, 94800, Villejuif, France.,CESP, Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, 94800, Villejuif, France
| | - Florence Tubach
- Université Paris Diderot, Sorbonne Paris Cité, UMR 1123 ECEVE, 75018, Paris, France.,APHP, Département Biostatistiques Santé Publique et Information Médicale, Centre de Pharmaco-épidémiologie de l'AP-HP, Hôpital Pitié-Salpétrière, 75013, Paris, France.,Université Pierre et Marie Curie, Sorbonne Universités, 75013, Paris, France
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